ArticlePDF Available

Social relations and life satisfaction: the role of friends


Abstract and Figures

Social capital is defined as the individual’s pool of social resources found in his/her personal network. A recent study on Italians living as couples has shown that friendship relationships, beyond those within an individual’s family, are an important source of support. Here, we used data from Aspects of Daily Life, the Italian National Statistical Institute’s 2012 multipurpose survey, to analyze the relation between friendship ties and life satisfaction. Our results show that friendship, in terms of intensity (measured by the frequency with which individuals see their friends) and quality (measured by the satisfaction with friendship relationships), is positively associated to life satisfaction.
Content may be subject to copyright.
O R I G I N A L A R T I C L E Open Access
Social relations and life satisfaction: the role
of friends
Viviana Amati
, Silvia Meggiolaro
, Giulia Rivellini
and Susanna Zaccarin
* Correspondence: giulia.rivellini@
Department of Statistical Sciences,
Catholic University, Largo Gemelli, 1,
20123 Milan, Italy
Full list of author information is
available at the end of the article
Social capital is defined as the individuals pool of social resources found in his/her
personal network. A recent study on Italians living as couples has shown that friendship
relationships, beyond those within an individuals family, are an important source of
support. Here, we used data from Aspects of Daily Life, the Italian National Statistical
Institutes 2012 multipurpose survey, to analyze the relation between friendship ties
and life satisfaction. Our results show that friendship, in terms of intensity (measured by
the frequency with which individuals see their friends) and quality (measured by the
satisfaction with friendship relationships), is positively associated to life satisfaction.
Keywords: Social capital, Multipurpose survey, Friendship relationships, Life satisfaction
The concept of social capital and its analysis has attracted the attention of several
disciplines (economics, sociology, psychology, etc.) in the past 40 years. Starting from
the seminal works of Coleman (1988), a multitude of social capital definitions and con-
ceptualizations has been proposed (e.g., Durlauf and Fafchamps 2005).
The main concept present in all of the current definitions is that social capital is a
resource that resides in the networks and groups which people belong to, rather than
an individual characteristic or a personality trait. Portes (1998) defined social capital as
the ability of actors to secure benefits by virtue of their membership in social net-
works or other social structures,stressing that whereas economic capital is in peo-
ples bank accounts and human capital is inside their heads, social capital inheres in
the structure of their relationships(p. 7). Lin et al. (2001, p. 24) defined social capital
as resources embedded in a network, accessed, and used by actors for actions.
The term networkis used to describe the ties and social relationships in which an
individual is embedded. A network is composed of a finite set of actors and the rela-
tions among them. There are two primary types of networks: complete and ego-
centered. While complete networks describe the links between all members of a group,
ego-centered networks are defined by looking at relations from the orientation of a
particular person(Breiger 2004, p. 509), that is called ego, and therefore, ego-centered
networks focus on an ego and his/her relations with a set of alters.
Recognizing the importance of identifying individualsnetworks to understand many
phenomena (e.g., social support, socioeconomic mobility, social integration, health
conditions), several national and international surveys (e.g., the Generations and
© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International
License (, which permits unrestricted use, distribution, and reproduction in any medium,
provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
indicate if changes were made.
Amati et al. Genus (2018) 74:7
Gender Surveys, the International Social Survey Programme and the European
Quality of Life Survey, and the Italian Multipurpose surveys) provide information
on the ego-centered network of each respondent. This data might be used to in-
vestigate network-based sources of social capital at individual level, even though
these surveys are neither network-oriented nor social capital-oriented. Because of
the availability of these broad surveys that measure both social relations and
aspects of an individuals life, more studies have considered the potential role of
social networks in the life of individuals.
One branch of research has focused on the link between the characteristics and com-
position of social networks and the variety of support (emotional, material, and instru-
mental) available and/or received by individuals (Zhu et al. 2013; Amati et al. 2017).
Another issue commonly considered in the literature is the influence of an individuals
social interactions on his or her behaviors, such as fertility choices (Bernardi et al.
2007; Keim et al. 2009). Finally, the role of social networks on an individuals well-
being has also been examined (Taylor et al. 2001; Haller and Hadler 2006; Powdthavee
The practical use of multipurpose surveys for the analysis mentioned above is clearly
worthwhile. These types of surveys offer a large amount of information, allowing
researchers to study the role of social capital in a variety of outcome variables control-
ling for individual and group-level characteristics. In the long term, repeated surveys
might also provide longitudinal data for further investigation on whether social capital
and its role in an individuals life change over time. The data collected from general
surveys can also be analyzed to provide hints on certain phenomena (e.g., quality of life,
social and family life, lifestyle, friendship) when specific surveys are not available.
The current study supplements research that considers the role of resources
embedded in a social network for an individuals subjective well-being. In this
paper, a particular facet of social capital is analyzed: the role of friends as alters in
ego-centered networks (Breiger 2004). This choice stemmed from a recent study
on Italians living in couple, which showed that friendship relationships are valuable
sources of support (e.g., instrumental, emotional, and companionship) that supple-
ment the support inherent in traditional or expected ties to parents and relatives
(Amati et al. 2015). This paper examines the role of friends in an individualssub-
jective well-being, which is measured by life satisfaction.
Data was obtained from the multipurpose survey Aspects of Daily Life,collected by
the Italian National Statistical Institute (Istat) in 2012. The focus of the current study is
on individuals aged 1864 years old. This data allows investigation of friendships
effects on life satisfaction, measuring in terms of the frequency with which individuals
see their friends (intensity) and the satisfaction with friendship relationships (quality).
The underlying hypothesis is that friendship relationships influence life satisfaction
through the potential (instrumental and emotional) resources that friends may provide.
Those resources depend on both the presence of friends (measured in terms of fre-
quency of meeting friends) and on the quality of the friendship (friendship satisfaction).
The paper is organized as follows: the Backgroundsection provides a review of the
studies that considered the link between friendship and life satisfaction, with particular
attention on the importance of distinguishing friendship network characteristics in
terms of intensity and quality of the relations with friends (Quality and quantity in
Amati et al. Genus (2018) 74:7 Page 2 of 18
friendship relationshipssection). Survey data and the strategy of analysis are described
in the Data and methodssection. Results are reported in the Resultssection and
discussed in the Concluding remarkssection.
Social relations, friendship, and life satisfaction
Subjective well-being refers to the many types of evaluations that people make of their
lives (Diener 2006) and is conceptualized and measured in different ways and with dif-
ferent proxies (Kahneman and Deaton 2010; Dolan and Metcalfe 2012).
Although life satisfaction is only one factor in the general construct of subjective
well-being, it is routinely used as a measure of subjective well-being in many studies
(e.g., Fagerstr m et al. 2007; Ball and Chernova 2008; Shields et al. 2009). In particular,
life satisfaction, referring to a holistic evaluation of the persons own life (Pavot and
Diener 1993; Peterson et al. 2005), concerns the cognitive component of the subjective
well-being. Another commonly used measure for subjective well-being is happiness
(Diener 2006), often used interchangeably with life satisfaction.
There is substantial evidence in the psychological and sociological literature that indi-
viduals with richer networks of active social relationships tend to be more satisfied and
happier with their lives. This positive role of social relationships on subjective well-
being may be explained by the benefits they bring. First, relationships, being key players
in affirming an individuals sense of self, satisfy the basic human need for belongingness
(Deci and Ryan 2002) and are a source of positive affirmation. The levels of subjective
well-being increase with the number of people an individual can trust and confide in
and with whom he or she can discuss problems or important matters. On the other
hand, these levels decrease with a surplus presence of acquaintances or strangers in the
network (see Burt 1987; Taylor et al. 2001; Powdthavee 2008).
Second, the presence of social relationships has positive impacts on mental and
physical health, contributing to an individuals general well-being, whereas the
absence of social relationships increases an individuals susceptibility to psychological
distress (Campbell 1981; Nguyen et al. 2015). Several studies have shown that social
relations stimulate individuals to fight diseases (Myers 2000) and reinforce healthy be-
haviors (Putnam 2000). Social interactions have the potential to protect individuals at
risk (e.g., encouraging them to develop adjustment techniques to face the difficulties)
and promote positive personal and social development, which diminishes the expos-
ure to various types of stress (Myers 2000;Halpern2005) and increases the ability to
cope with it.
Finally, social relationships form a resource pool for an individual. These resources
can take several forms, such as access to useful information, company (e.g., personal
and intimate relationships, time spent talking together, and shared amusement time or
meals), and emotional (e.g., advice about a serious personal or family matter) and
instrumental (e.g., economic aid, administrative procedures, house-keeping) support.
Several studies have detailed how receiving support contributes to higher well-being,
although the effects may vary by the type and the provider(s) of support (Merz and
Huxhold 2010). In a wider perspective, social relationships serve as buffers that dimin-
ish the negative consequences of stressful life events, such as bereavement, rape, job
Amati et al. Genus (2018) 74:7 Page 3 of 18
loss, and illness (Myers 2000). The perceived availability of support or received support
from others may, indeed, lead to a more benign appraisal of a negative situation.
In this view, friendships, considered as voluntary relationships that involve a variety
of activities, may contribute significantly to the overall subjective well-being (Clark and
Graham 2005). Friends are only one of the possible alters in an ego-centered network,
as represented by Fig. 1. At the same time, they are the only alters that a person
chooses as a node that belongs to his/her personal network while parents, siblings, and
relatives are the family you are born with, and neighbors and coworkers are people
an individual usually encounters in a preexisting situation, friends are the family you
choose(Wrzus et al. 2012, p. 465).
As for many relationships, friendship strongly depends on meeting opportunities
(Verbrugge 1977; Feld 1981), as determined by social settings (Pattison and Robins
2002), and the decision of individuals to establish a certain friendship tie. This indicates
that friendship is often related to positive interpersonal relationships which are import-
ant and meaningful to an individual and satisfy various provisions (intimacy, support,
loyalty, self-validation). In addition, support from friends is usually voluntary, sustained
only by feelings of affection, mutuality, and love (Yeung and Fung 2007), but not moti-
vated by moral obligations (typical of family ties, Merz et al. 2009).
Recent years witnessed the growth of social contexts where the importance of friends
is increasing. First, sociodemographic changes, such as the reduction in the number of
children in each family and a weakening of traditional communities like churches and
extended families, raise the relevance of friends in the network (Suanet and Antonucci
2017). Second, family and marital relationships have also changed over the last few
decades; through divorce and remarriage, they appear more complex and less robust.
The breakup of the immediate household and of the extended family can have direct
implications on the relationships among the household members. Friends can substi-
tute, in a certain sense, the traditional family (Ghisleni 2012), offering invaluable advice,
support, and companionship.
Only the positive consequences of friendship on well-being have been considered so
far. However, friendships might also play a negative role for an individuals well-being.
Concerning the need for belongingness, some friends may be disturbed individuals and
thus have a damaging effect on an individual (Halpern 2005); in addition, the fear of
being criticized or excluded may also have a negative impact on well-being. As to the
Fig. 1 Ego and kinds of alters in an ego-centered network
Amati et al. Genus (2018) 74:7 Page 4 of 18
health motivation friends might encourage individuals toward unhealthy behaviors,
such as smoking or overeating (Schaefer et al. 2012; Huang et al. 2014). Finally, unful-
filled expectations may negatively affect the benefits derived from support. Despite
these potentially negative influences, friendships are generally expected to have a posi-
tive role in an individuals well-being (Van Der Horst and Coffè 2012).
Quality and quantity in friendship relationships
Friendship relationships can recall both quantitative and qualitative dimensions. For
instance, asking about having or not having friendship ties is often related to the count
of the number of friends; similarly, evaluating the degree of mutual concern and inter-
est calls for a quantitative measure, such as the duration of friendship or the frequency
of interaction. Distinguishing between best friends and friends, real or close friends,
really trueor not truefriends (Boman IV et al. 2012) is qualitative measures of
friendship relationships. The qualitative aspects are determined by the fact that friend-
ship relations might be close, intense, and supportive at different levels. In general, the
closer the friendship, the more evident the various qualitative attributes of friendship
(Demir and Özdemir 2010).
The different definitions of friendship emphasize both the qualitative dimension and the
interactive sphere of friendship. Alberoni (1984) defined friendship as a clear, trusted, and
confident feeling(p.11). Hays (1988), based on a review of theoretical and empirical litera-
ture, suggested a more comprehensive definition of friendship, wherein a voluntary inter-
dependence between two persons over time, that is intended to facilitate socio-emotional
goals of the participants, and may involve varying types and degrees of companionship, in-
timacy, affection, and mutual assistance(p. 395). The Encyclopedia Britannica defines
friendship as a state of enduring affection, esteem, intimacy, and trust between two
people(Berger et al. 2017). All these definitions indicate that friendship is recognized as a
dyadic relationship by both members of the relationship and is characterized by a bond or
tie of reciprocated affection. It is not obligatory, carrying with it no formal duties or legal
obligations to one another, and is typically egalitarian in nature and almost always charac-
terized by companionship and shared activities (Berger et al. 2017).
The network perspective emphasizes the dyadic nature of friendship and stresses the
quantitative dimension of friendship relationships in terms of the strengthof an inter-
personal tie, where the strength of a tie is a (probably linear) combination of the
amount of time, the emotional intensity, the intimacy (mutual confiding), and the
reciprocal services which characterize the tie(Granovetter 1973 p. 1361).
The analysis of the interaction between friendships and personal well-being or life
satisfaction is strongly influenced by the available data, which often regards the quanti-
tative dimension of friendships. Several studies have emphasized how this dimension
affects an individuals well-being through the benefits friendship brings. In particular, a
large number of friends, as well as more contact with these friends and a low hetero-
geneity of the friendship network, are related to more social trust, less stress, and better
health (McCamish-Svensson et al. 1999; Van Der Horst and Coffè 2012). From the
point of view of support, having many friends and frequent contact with them increases
the chance of receiving help when needed (Van Der Horst and Coffè 2012). More
broadly, the frequency of meeting a friend can be an indicator of the strength or
Amati et al. Genus (2018) 74:7 Page 5 of 18
intensity of the relationship (Haines et al. 1996). Stronger relationships might imply in-
creased knowledge of an individuals needs, thus creating a stronger source of potential
help. Regarding the qualitative dimension, empirical research is quite scanty; however,
what is available shows that satisfaction with a friendship is strictly related to an indi-
viduals well-being and life satisfaction (Diener and Diener 2009; Froneman 2014).
Taking into account both the questionnaire constraints and the research focus on
studying the role of friends in life satisfaction, this study focused on adulthood and
measured the quantitative dimension of friendship through the intensity of interaction
(frequency of meeting friends) and the qualitative dimension through the satisfaction
with friendship relationships. The hypotheses that the intensity of relations with friends
might have a different effect depending on the level of satisfaction with these relations
were tested. A faithful frequency of contacts with friends, together with positive satis-
faction with friendship relationships, connects individuals to a range of extra benefits,
including a higher sense of belongingness, better health, and more support (Van Der
Horst and Coffè 2012).
Data and methods
The multipurpose survey Aspects of Daily Life
Data was drawn from the cross-sectional, multipurpose survey Aspects of Daily Life,
carried out in Italy by Istat. Conducted annually since 1993, it is a large sample survey
that interviews a sample of approximately 50,000 people in about 20,000 households. It
collects information on several dimensions of life for each individual, including basic
socio-demographic characteristics of individuals (age, sex, education) and of their
households (socio-economic status and family structure) and information on health,
lifestyle, religious practices, and social integration.
Starting in 2010, the survey investigated life satisfaction for individuals aged over 14,
asking the following question: How satisfied are you with your life on the whole at
present?Answers range between 0 (not satisfied at all) and 10 (very satisfied). These
levels of life satisfaction represent a crude measurement of the underlying continuous
variable, i.e., life satisfaction, which cannot be measured on a continuous scale.
The current study focuses on the most recent survey data (2012) and considers the
life satisfaction of 25,190 individuals (ages 1864). Figure 2reports the percentage
distributions of these individuals according to their life satisfaction. It demonstrates
Fig. 2 Percentage distributions of individuals aged 1864 according to their life satisfaction
Amati et al. Genus (2018) 74:7 Page 6 of 18
that the proportions of individuals who declared indexes of life satisfaction under 5
are quite low; those with life satisfaction equal to 5, however, are not negligible.
On the whole, only 17.5% of individuals declared a life satisfaction under 6. Most
individuals (64.4%) seem to be quite satisfied in their life, declaring values equal to
or greater than 7.
Next, to the question on life satisfaction, there are two additional questions collecting
information on two different aspects of friendship relationships: the frequency at which
individuals usually meet their friends in their leisure time and the satisfaction of individ-
uals with friendship relationships over the previous 12 months. The first aspect can be
seen as a proxy for the intensity of friendships interaction. Response options of the corre-
sponding question consisted of 1 = every day, 2 = more than once per week, 3 = once per
week, 4 = several times (but less than 4) per month, 5 = sometimes per year, 6 = never,
and 7 = without friends. In the following analyses, these seven categories are grouped
distinguish individuals meeting their friends as follows: more than once a week (1, 2),
once a week or several times a month (3, 4), and less often or not having friends (5, 6, 7).
The second question concerns satisfaction of individuals with friendship relation-
ships understood as the quality of friendships. This satisfaction can be considered
as a proxy for the quality of friendship. The corresponding question response op-
tions consisted of 1 = very satisfied, 2 = quite satisfied, 3 = not very satisfied, and
4 = not satisfied at all. In the following analyses, the last two categories are
grouped together because of the low proportions of individuals indicating no satis-
faction at all in friendships. Table 1reports the distribution of individuals accord-
ing to both of these key variables describing friendship. The data shows that most
individuals meet friends more than once a week and are quite satisfied with the
friendship relationship.
Table 2shows that friendship and life satisfaction are related. Individuals meeting
their friends more often and declaring themselves more satisfied with their friendship
relationships tend to have a higher life satisfaction when compared to people who
rarely meet their friend and/or are not satisfied with their relationships. In addition, the
association between these variables describing friendship relationships and life satis-
faction is statistically significant (χ
= 2288.2, df = 20, pvalue < 0.001 and χ
= 394.04,
df = 20, pvalue < 0.001, respectively, for friendship satisfaction and frequency of con-
tacts). However, these associations may be due to other compositional factors. Youn-
ger individuals meet their friends more often than older ones, and literature has
Table 1 Percentage distributions of individuals aged 1864 according to their friendship relationships
Frequency of meeting friends
More than once per week 46.9
Once per week or several times a month 42.6
Sometimes per year or less often or without friends 10.5
Satisfaction with friendship relationships
Very satisfied 27.4
Quite satisfied 60.7
Not satisfied 11.9
Total 25,190
Amati et al. Genus (2018) 74:7 Page 7 of 18
shown that life satisfaction is higher among younger people (Demir et al. 2015, Walen
and Lachman 2000). Thus, the role of friendship has to be examined using multivari-
ate analyses, while controlling for a series of other variables.
Methods and strategy of analysis
A multilevel logistic regression model was estimated to investigate the relation between
life satisfaction (dependent variable) and the frequency of meeting friends and the satis-
faction of friendship relationships (explanatory variables), controlling for several covari-
ates. The choice of a random intercept logistic regression model was motivated by both
the data structure and the level of measurements of the dependent variable.
Specifically, the data shows a nested structure, where the first-level units are the indi-
viduals and the second-level units are the families. To control for the nested structure,
we considered a multilevel model, rather than simply correcting the estimated standard
errors for the presence of clustered units in the sample. The limited number of individ-
uals belonging to the same family (the 99% of the families has a size smaller than four)
might be problematic for the methods because of the correction of the standard errors
(Leoni 2009).
Regarding the dependent variable, the fact that it is measured on an ordinal scale
should be considered. Several models have been proposed for the analysis of ordinal
variables, among them the ordinal logistic regression model (Agresti 2010). This model
is the extension of the multinomial logit model to ordinal variables. One of the funda-
mental assumptions underlying the ordinal logistic regression model is the proportional
odds assumption, requiring that the relationship between each pair of outcome categor-
ies is the same. When this assumption is violated, the estimates might be biased and
the standard errors might be either underestimated or overestimated, leading to mis-
leading conclusions derived from ordinal regression models. An alternative is available
in the partial ordinal logistic regression model which relaxes the assumption of propor-
tional odds, allowing the parameters to vary across the level of the dependent variables,
but yielding a less parsimonious model.
The analyzed data provides evidence against the assumption of proportional odds
= 4456, df = 414, pvalue < 0.001); therefore, a partial ordinal logistic regression
Table 2 Some descriptive indicators of an individuals life satisfaction according to their friendship
Mean % with satisfaction
greater than or
equal to 8
% with satisfaction
greater than or
equal to 7
% with satisfaction
greater than or
equal to 6
Frequency of meeting friends
More than once per week 6.95 38.8 66.26 84.20
Once per week or several times
a month
6.91 38.1 65.00 83.43
Sometimes per year or less often
or without friends
6.39 31.8 53.46 71.23
Satisfaction with friendship relationships
Very satisfied 7.44 53.5 78.01 88.91
Quite satisfied 6.80 34.0 62.34 82.56
Not satisfied 5.97 20.7 43.34 65.40
Amati et al. Genus (2018) 74:7 Page 8 of 18
would be adequate. However, the number of categories of the dependent variable is
far from negligible, and estimating such a model would yield a non-parsimonious
model that is difficult to be interpreted. Consequently, we analyzed the association
between life satisfaction and the two dimensions of friendship in a standard multi-
level logistic regression setting where the dependent variable is recoded into
categories, obtained using different thresholds.
Several variations on recoding have been considered to test the robustness of the
model to the choice of the threshold. We considered three binary categorizations, using
threshold 6 (usually conceived as sufficiency,since it is the mark distinguishing
between pass and fail in tests at school in Italy), 7 (the mean satisfaction score in the
sample), and 8, which is the threshold value used by Istat (2015,2016). After that, the
corresponding multilevel binary logistic regression was estimated. A categorization into
three levels (< 6, 6, and 7, 8) was also considered and a multilevel multinomial logistic
regression model was used for the estimation. This model did not reach convergence
because of the high percentage (40%) of second-level units (family), including only one
first-level unit (individual). In the following, only the results deriving from the multi-
level binary logistic regression, which is briefly described in the following lines, were
Let Nbe the number of second level units and n
(j=1,,N) be the number of first
level units in group j. Let Y
denote the dichotomous variable taking value 1 if the life
satisfaction of an individual is at least 7 and 0 otherwise. The two outcomes are coded
as satisfiedand not satisfied, respectively. Variables that are potential explanations
for Y
are denoted by X
. Let π
be the probability that an individual iin the
group jis satisfied. A logistic random intercept model expresses the logit of π
as a
sum of a linear function of the explanatory variables and a random second-level (fam-
ily)-dependent error ε
logit πij
k¼1βkxkij þε0j;
where β
are statistical parameters that need to be estimated from the data.
Control variables
Following previous studies (see for instance Huxthold et al. 2013), other explanatory
variables were included in the model to allow for consideration of the net association
between life satisfaction and the two aspects of friendship. First, variables measuring
potential social relations were included in the model. Results were controlled for the
social integration and active lifestyle. Social integration was inserted into the models
because of its importance for subjective well-being (as discussed in the Social relations,
friendship, and life satisfactionsection) and was measured considering the participa-
tion in meetings organized by political parties, trade union organizations, or by other
(e.g., voluntary or cultural) associations in the year prior to the interview. Individuals
who participated in at least one of these activities were distinguished from those with
no participation. An active lifestyle was considered for its benefits on physical and psy-
chological health (see, for example, Hassmén et al. 2000). It was measured using a
covariate that described physical activities and distinguished individuals as follows:
playing sports regularly, those engaged in physical activity at least once a week, and
Amati et al. Genus (2018) 74:7 Page 9 of 18
those who were physically active less often or who were sedentary. Attendance at reli-
gious services was also included in the model, both for the social networks that
people find in religious organization and for the private and subjective aspects of reli-
gion (Lim and Putnam 2010). This control variable is defined by three categories of
attendance: at least once a week, sometimes in a month or in a year, and never.
Next, the multivariate analyses are controlled for a series of covariates grouped into
three main domains which the literature has shown to be important for life satisfaction
(see, for example, Siedlecki et al. 2008; Meggiolaro and Ongaro 2015): socio-economic
and demographic characteristics, health status, and personality traits. The socio-
economic background of individuals included their age, gender, education, employment
status, and their familys economic situation and structure. Education is controlled for
through a covariate with three categories: low (junior high school or lower), middle
(secondary school), and high (post-secondary education). Regarding employment status,
we distinguished employed
individuals from those who declared themselves to be
unemployed and those who were out of the labor force (housewives, students, retired
people, etc.). The family economic situation is measured through a question that sub-
jectively evaluates family economic resources. A dichotomous covariate differentiated
individuals in families with poor or insufficient resources from those with very good or
good resources. Family structure was investigated keeping track of both the type of
family and an individuals position in the family. Individuals were distinguished as
follows: individuals who are paired with another and with children, individuals who are
paired with another without children, individuals who are children in households
with at least one parent, individuals who are parents in single-parent families, and
all other cases.
Health status was measured considering three subjective indicators of health: limitations,
self-analysis of health, and self-satisfaction with health. The first measured the presence of
limitations and was based on individuals reporting any limitations on typical, day-to-day
activities. These limitations were defined in three categories: severe limitations, only mild
limitations, and no limitations. The second indicator was obtained by a question asking
individuals how they viewed their health; the five available responses were grouped into
three categories: good (excellent or good), fair, and poor (poor and very poor) health. The
final subjective indicator was measured by an individuals satisfaction with health, grouped
into three categories: very satisfied, quite satisfied, and not satisfied (including individuals
who declared themselves as not very satisfied or not satisfied at all).
An individuals personality was identified through two indicators. The first was
obtained from a question investigating whether individuals trust people; the results dis-
tinguished those who declared that most people can be trusted from those who thought
that they must be very careful. The second indicator was obtained from a question ask-
ing individuals for their views on future and personal situations, with four response
options: the situation will improve, it will remain the same, the situation will worsen,
and do not know.In the analyses, the individuals were grouped into optimistic, pes-
simistic, and indifferent categories; the last merging people who did not know with
those who declared the situation will remain the same. Along the same lines, an indi-
viduals satisfaction on specific aspects of life, ranging from employment
and economic
resources to family relationships and leisure time, was taken into account by the
Identical to questions on friendship relationships, the corresponding response
Amati et al. Genus (2018) 74:7 Page 10 of 18
options consisted of the following: 1 = very satisfied, 2 = quite satisfied, 3 = not very
satisfied, and 4 = not satisfied at all. In the following analyses, the last two categories
are grouped as one.
Finally, the results were controlled for the geographical area of residence (north-west,
north-east, center, and south), and the type of municipality (distinguishing, by way of
population count, metropolitan areas and suburbs from other towns) for the potential im-
portance of economic, social, environmental, and urban development of the area in which
individuals live (González et al. 2011).
Before estimating the model, associations among the explanatory variables were
checked using the normalized mutual information. All the values were close to 0,
thereby suggesting the absence of strong correlation among the control variables.
As described in the Methods and strategy of analysissection, three thresholds have
been used to categorize the dependent variable and investigate the robustness of the
model to the choice of the threshold. The corresponding, multilevel logistic regression
models lead to the same estimated effects, thereby indicating that the model is robust
to the choice of the threshold. Here, we report only the results
considering the thresh-
old value 7 (Table 3). The appropriateness of the multilevel specification to account for
the data structure as revealed by the intercept variance significance should be noted.
The demographic characteristics are considered first. Gender is not significant, sug-
gesting that there are no differences in life satisfaction between men and women. The
parameters associated with the age are both significant, suggesting that there is a quad-
ratic relation between life satisfaction and age. The linear combination of the estimates
indicates that the oldest people tend to be more satisfied than the youngest. It is
observed that individuals with a high level of education tend to be less satisfied than
those possessing a lower or medium level of education. These results can be related to
the different expectations the young (more eager for life) and, to some extent, more
educated people (more acute in the evaluation of their living conditions) have with
respect to those who are older and less educated. Regarding the age effect, the differ-
ence with the aforementioned literature might be due to a diverse context of analysis
and/or to the choice of other control variables.
The coefficients of the variables related to the economic status show that employed
people (particularly those who declared to be very satisfied with their work) with
adequate economic resources tend to be more satisfied than the others. The coeffi-
cients related to the familys structure suggest that individuals living in couples (with or
without children) tend to be more satisfied with their life when compared to people
living in other family structures.
Social integration and active lifestyle, with all its aspects, also play an important role.
The more integrated an individual is, the more satisfied he/she is, as suggested by the
positive coefficient related to social integration. The model estimates also suggest that
people attending religious services (regularly or sometimes in a year) tend to be more
satisfied with their life than people not attending religious services. A similar result is
observed for physical activities, where a moderate physical activity leads to higher life
satisfaction. The negative coefficients of the health status, measured by the individual
subjective perception indicate that a worse health status correlates to a lower life
Amati et al. Genus (2018) 74:7 Page 11 of 18
Table 3 Coefficient estimates (β) and their standard errors (s.e.), odds ratios (OR), and their 95%
confidence interval of the binary logistic multilevel model for the life satisfaction (probability of
being satisfied)
Est. s.e. OR 95% CI
Intercept 6.315 0.268***
Variance 2.765 0.179***
Gender (ref. male)
Female 0.045 0.045 0.956 0.860 1.044
Age 1.001 0.183*** 0.367 0.257 0.526
Age (squared) 0.949 0.177*** 2.584 1.829 3.650
Education (ref. high)
Low 0.306 0.075*** 1.357 1.171 1.574
Medium 0.182 0.051*** 1.200 1.087 1.325
Employment status (ref. employed and very satisfied)
Other 1.754 0.106*** 0.173 0.141 0.213
Unemployed 0.912 0.098*** 0.402 0.332 0.486
Not Satisfied 1.610 0.105*** 0.200 0.163 0.246
Quite satisfied 0.473 0.091*** 0.623 0.522 0.745
Economic resources (ref. good or very good)
Poor or insufficient 0.434 0.056*** 0.648 0.581 0.724
Familys structure (ref. couples with children)
Parents in single-parent families 0.670 0.102*** 0.512 0.419 0.625
Couples without children 0.175 0.077** 0.840 0.723 0.976
Child 0.808 0.082*** 0.446 0.380 0.523
Others 0.634 0.074*** 0.530 0.459 0.613
Perception of health (ref. good)
Fair 0.589 0.162*** 0.555 0.404 0.761
Poor 0.505 0.063*** 0.604 0.534 0.682
Presence of limitations (ref. no)
Severe limitations 0.236 0.144 0.790 0.596 1.047
Only mild limitations 0.097 0.073 1.102 0.955 1.272
Health satisfaction (ref. very satisfied)
Not satisfied 0.787 0.104*** 0.455 0.371 0.558
Quite satisfied 0.330 0.065*** 0.719 0.632 0.817
Attendance at religious services (ref. At least one a week)
Never 0.353 0.072*** 0.703 0.611 0.808
Sometimes 0.036 0.058 0.964 0.861 1.079
Social integration (ref. yes)
No 0.289 0.055*** 0.749 0.673 0.834
Sport (ref. regularly)
Never 0.291 0.062*** 0.747 0.662 0.844
At least one per week 0.001 0.065 0.999 0.880 1.134
Trust in other people (ref. yes)
No 0.462 0.059*** 0.630 0.562 0.707
View of personal situation in the future (ref. optimistic)
Indifferent 0.549 0.056*** 0.578 0.518 0.645
Pessimistic 1.150 0.070*** 0.317 0.276 0.364
Amati et al. Genus (2018) 74:7 Page 12 of 18
satisfaction. Similarly, the coefficients related to the presence of limitations indicate
that individuals with severe limitations tend to be less satisfied than those who do not
have limitations.
An individuals personality traits also affect life satisfaction. Trusting other people
and having a positive attitude increase the probability of having high life satisfaction.
Similarly, the data suggests that an individuals high satisfaction with facets of their life
(economic, health and family relationships, and free time) correlates to a higher life
Finally, the coefficients related to variables concerning the geographical area individ-
uals live in suggest that living in the north-west area increases the probability of being
satisfied. For the type of municipality, the model suggests that individuals living in a
town with more than 2000 inhabitants, but less than 10,000, have a higher probability
of being satisfied.
The coefficients related to the key variables showed that friendship relationships were
associated with life satisfaction. In particular, the probability of an individual who meets
friends once a week or several times a month being satisfied with life is 9% lower than
Table 3 Coefficient estimates (β) and their standard errors (s.e.), odds ratios (OR), and their 95%
confidence interval of the binary logistic multilevel model for the life satisfaction (probability of
being satisfied) (Continued)
Est. s.e. OR 95% CI
Leisure time satisfaction (ref. very satisfied)
Not satisfied 0.531 0.084*** 0.588 0.499 0.694
Quite satisfied 0.115 0.079 0.891 0.763 1.041
Area of residence (ref. north-west)
South 0.204 0.072*** 0.815 0.709 0.938
Center 0.273 0.082*** 0.761 0.648 0.894
North-east 0.154 0.080** 0.857 0.733 1.004
Type of municipality (ref. metropolitan area)
> 50,000 0.037 0.099 0.963 0.793 1.170
Town with 10,00050,000 0.044 0.091 1.045 0.874 1.249
Town with 200010,000 0.267 0.093*** 1.305 1.090 1.564
Town with less than 2000 inhabitants 0.238 0.1184** 1.268 1.006 1.600
Suburbs 0.155 0.116 0.856 0.683 1.074
Economic resources satisfaction (ref. very satisfied)
Not satisfied 1.518 0.206*** 0.219 0.146 0.328
Quite satisfied 0.357 0.205 0.700 0.468 1.046
Family relationships satisfaction
Not satisfied 1.526 0.105*** 0.217 0.177 0.267
Quite satisfaction 0.681 0.061*** 0.506 0.450 0.570
Frequency of meeting friends (ref. more than once a week)
Only some times a year or without friends 0.306 0.083*** 0.737 0.626 0.866
Once a week or several times a month 0.087 0.051* 0.916 0.829 1.013
Friendship relationships satisfaction (ref. very satisfied)
Quite satisfied 0.519 0.094*** 0.595 0.495 0.716
Not satisfied 0.301 0.068*** 0.740 0.648 0.846
Significant parameter at *p< .1, **p< .05, ***p< .01
Amati et al. Genus (2018) 74:7 Page 13 of 18
the same probability for an individual who meets his friends regularly. If the individual
meets friends only a few times a year or does not have friends, then the probability of
being satisfied decreases nearly 27%. Moreover, if individuals are either quite satisfied
or not satisfied with their friendship relationships, then the probability of being satis-
fied decreases 49 and 69%, respectively, compared to the same probability for individ-
uals satisfied with their friendship relations. We also tested the presence of several
interaction effects. First, a synergy effect between the frequency of meeting friends and
the friendship satisfaction was checked for. This enabled testing if frequent and satis-
factory friendship relations might increase the probability of being satisfied with life.
The corresponding parameters turned out to be not significant.
In addition, the interaction between type of municipality and friendship satisfaction
and intensity of friendship, respectively, was considered. The motivation relies on the
fact that many network studies (e.g., Adams et al. 2012), aiming at defining the effect of
the geographical space on the configuration of the network, have suggested that smaller
areas and proximity facilitate contacts and are contexts where people get to know each
other more easily. The analysis indicated that only the interaction between being not
satisfied and living in a small area was negative and significant. Since all the other inter-
actions were not significant, and the conclusions for all the other variables did not
change when including or excluding interactions, only the more parsimonious models
without interactions are reported in the paper.
Concluding remarks
The analysis of social capital focuses on the set of relationships in which individuals are
embedded. These relations are resources for the individuals themselves and might have
an impact on some aspects of their life, e.g., performance, well-being, and support.
An analysis of a particular facet of social capital, namely the role of friendship rela-
tions on the life satisfaction of people aged 1865, was conducted. Using data from the
multipurpose survey Aspects of daily life,collected by the Italian National Statistical
Institute in 2012, a multilevel logistic model was estimated to study the link between
life satisfaction and the frequency of meeting friends, as well as the satisfaction with
friendship relationships. This link is considered, by psychological literature, as a bidir-
ectional dynamic process (Demir et al. 2015). Having friends and close peer experiences
are both important predictors of life satisfaction, and satisfied individuals tend to have
stronger and more intimate social relationships.
Although in the current study the target variables follow a partially logical chronological
order, the data derives from an observational study, and therefore, no causal relations can
be inferred. Consequently, we only focused on the association between life satisfaction and
friendship controlling for all other potential confounding variables that we have at disposal.
This is a limitation of the study that may only be addressed using longitudinal data.
The results of the analysis showed that less frequent meetings contributed to lower
friendship relationship satisfaction, thus leading to lower life satisfaction. These find-
ings were robust to the choice of different thresholds and to a wide set of control varia-
bleswith significant associationspertaining to three main domains that literature
has shown to affect life satisfaction.
The current study supports the finding that friends are relevant nodes in a personal
network. A high life satisfaction is indeed associated with the presence of friendship.
Amati et al. Genus (2018) 74:7 Page 14 of 18
This might be explained by the positive functions attributed to friends. As suggested by
previous research, friends provide companionship (in addition to more social trust and
less stress), intimacy, and help, which increase an individuals life satisfaction (see, for
example, Demir and Weitekamp 2007).
Furthermore, the results indicate that both having/meeting friends and good-quality
friendship relations are important to an overall life satisfaction. Individuals may benefit
from positive interactions with friends, which are a part of an individuals social capital.
High-quality friendships are more likely to be characterized by support, reciprocity, and
intimacy. Conversely, low-quality relations and/or the lack of positive interaction may
elicit anxiety.
The importance and the impact of friendship on the life of individuals indicate
that it is worthwhile to deepen the topic of friendship relationships and the con-
texts in which such relationships are embedded(Adams and Allan 1998). A study
of the impact could also be beneficial in population studies. Like all other types of
personal relationships, friendships are indeed constructed-developed, modified,
sustained, and endedby individual acting in contextual setting(Adams and Allan
1998, p.3), which is defined by age, gender, stage of life, living arrangement, and
experiences lived. These settings might affect the mechanisms of friendship forma-
tion and characterization in different ways and, consequently, the measurement of
quantitative and qualitative dimensions of friendships.
This categorization has been suggested by preliminary analyses which considered all
the seven categories and showed not significant differences between categories 1 and 2,
between 3 and 4, and across categories 5, 6, and 7.
For employed individuals, also their satisfaction with work is considered, distinguish-
ing those very satisfied, those quite satisfied, and those not satisfied; this follows the
perspective suggested below to consider also the individualssatisfaction with different
aspects of their life.
As mentioned above, satisfaction with work is embedded in the variable describing
employment status (see footnote 2).
There might be a reversed relationship between life satisfaction and satisfaction in
the different domains of individuals life. While on the one hand, satisfaction in
domains of life might affect life satisfaction; on the other hand, overall life satisfaction
might affect individuals satisfaction. The issue of reverse causality has been discussed
in the literature starting from the distinction between top-down and bottom-up theor-
ies of well-being by Diener (1984) and has not yet been settled by the empirical
research (see, for example, the discussion in Møller and Saris 2001; Rojas 2006; Gonzá-
lez et al. 2010). In the current analysis, we aim only at investigating the association be-
tween satisfaction in the different domains of individuals life and life satisfaction. The
study of bidirectional causal relation between life satisfaction and friendship relations is
beyond the aims of the current paper. In fact, probably with the current data, there is
not the problem of reversed relationship between satisfaction in the different domain
of individuals life and life satisfaction; in the questionnaire, indeed, the time reference
of the different domains of individual life was the last 12 months, whereas the evalu-
ation of life satisfaction was referred to the usualor normalbehavior of the
Amati et al. Genus (2018) 74:7 Page 15 of 18
respondents without a precise time reference, and thus the former aspects are referred
to a time that preceded the time reference of life satisfaction.
The models were estimated using the procedure GLIMMIX in the program SAS.
The authors would like to thank the Editor and the two anonymous reviewers for their valuable suggestions and
necessary amendments on general and technical issues that led to many improvements in this work.
All authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Author details
Department of Humanities, Social and Political Sciences, ETH, Weinbergstr.109, 8092 Zürich, Switzerland.
of Statistical Sciences, Via C. Battisti, 241, 35121 Padua, Italy.
Department of Statistical Sciences, Catholic University,
Largo Gemelli, 1, 20123 Milan, Italy.
Department of Economics, Business, Mathematics and Statistics, University of
Trieste, P.le Europa 1, 34127 Trieste, Italy.
Received: 19 December 2017 Accepted: 27 February 2018
Adams, J., Faust, K., & Lovasi, G. S. (2012). Capturing context: integrating spatial and social network analyses. Social
Networks, 34,15.
Adams, R. G., & Allan, G. (1998). Placing friendship in context. Cambridge New York: Cambridge University Press.
Agresti, A. (2010). Analysis of ordinal categorical data (Second ed.). Hobo- ken: John Wiley & Sons.
Alberoni, F. (1984). Lamicizia. Milano: Garzanti.
Amati V., Meggiolaro S., Rivellini G., Zaccarin S., (2017) Relational Resources of Individuals Living in Couple: Evidence
from an Italian Survey. Social Indicators Research 134 (2):547-590
Amati, V., Rivellini, G. & Zaccarin (2015). Potential and Effective Support Networks of Young Italian Adults, Social
Indicators Research 122(3): 807-831 .
Ball, R., & Chernova, K. (2008). Absolute income, relative income, and happiness. Social Indicators Research, 88(3), 497529.
Berger L., Hohman L., Furman W. F. (2017), Friendship, Encyclopædia Britannica, 2017.
Bernardi, L., Keim, S., & Von Der Lippe, H. (2007). Social influences on fertility. A comparative mixed methods study in
Eastern and Western Germany. Journal of Mixed Methods Research, 1(1), 2347.
Boman IV, J. H., Krohn, M. D., Gibson, C. L., & Stogner, J. M. (2012). Investigating friendship quality: an exploration of self-
control and social control theoriesfriendship hypotheses. Journal of youth and adolescence.
Breiger, R. L. (2004). The analysis of social networks. In M. Hardy & A. Bryman (Eds.), Handbook of data analysis (pp. 505
526). London: Sage.
Burt, R. S. (1987). A note on strangers, friends, and happiness. Social Networks, 9, 311331.
Campbell, A. (1981). The sense of well-being in America: recent patterns and trends. New York: McGraw-Hill.
Clark, M. S., & Graham, S. M. (2005). Do relationship researchers neglect singles? Can we do better? Psychological Inquiry,
16, 2/3, 131136.
Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94,95120.
Deci, E. L., & Ryan, E. M. (2002). Handbook of self-determination research. Rochester: University of Rochester Press.
Demir, M., Orthel-Clark, H., Özdemir, M., & Özdemir, S. B. (2015). Friendship and happiness among young adults. In M.
Demir (Ed.), Friendship and happiness,Across the life-span and cultures (pp. 117129). Dordrecht: Springer.
Demir, M., & Özdemir, M. (2010). Friendship, need satisfaction and happiness. Journal of Happiness Studies, 11, 243259.
Demir, M., & Weitekamp, L. A. (2007). I am so happy cause today I found my friend: friendship and personality as
predictors of happiness. Journal of Happiness Studies, 8(2), 181211.
Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95, 542575.
Diener, E. (2006). Guidelines for national indicators of subjective well-being. Applied Research in Quality of Life, 1,151157.
Diener, E., & Diener, M. (2009). Cross-cultural correlates of life satisfaction and self-esteem. In Editor (Ed.), Culture and
well-being (pp. 7191). Springer Champaign IL USA: Springer Netherlands.
Dolan, P., & Metcalfe, R. (2012). Measuring subjective well-being: recommendations on measures for use by National
Governments. Journal of Social Policy, 41(2), 409427.
Durlauf, S. N., & Fafchamps, M. (2005). Social capital. In P. Aghion & S. Durlauf (Eds.), Handbook of economic growth,
edition 1, volume 1, chapter 26 (pp. 16391699). Amsterdam: Elsevier.
Amati et al. Genus (2018) 74:7 Page 16 of 18
Fagerstrӧm, C., Borg, C., Balducci, C., Burholt, V., Wenger, C. G., Ferring, D., Weber, G., Holst, G., & Hallberg, I. R. (2007).
Life satisfaction and associated factors among people aged 60 years and above in six European countries. Applied
Research in Quality of Life, 2(1), 3350.
Feld, S. (1981). The focused organization of organizational ties. American Journal of Sociology, 86, 10151035.
Froneman, M. (2014). The relationship between the quality of a best friendship and well-being during emerging adulthood,
master of science (clinical psychology). University of Johannesburg Available at:
Ghisleni, M. (2012). Amicizia e legami di coppia. In M. Ghisleni, S. Greco, & P. Rebughini (Eds.), Lamicizia in età adulta.
Legami di intimità e traiettorie di vita. Milano: Franco Angeli.
González, E., Cárcaba, A., & Ventura, J. (2011). The importance of the geographic level of analysis in the assessment of
the quality of life: the case of Spain. Social Indicators Research, 102(2), 209228.
González, M., Coenders, G., Saez, M., & Casas, F. (2010). Non-linearity, complexity and limited measurement in the
relationship between satisfaction with specific life domains and satisfaction with life as a whole. Journal of
Happiness Studies, 11, 335352.
Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 81, 12871303.
networks, community contexts and support following life events. Journal of Health and Social Behavior, 37, 252264.
Haller, M., & Hadler, M. (2006). How social relations and structures can produce happiness and unhappiness: an international
comparative analysis. Social Indicators Research, 75,169216.
Halpern, D. (2005). Social capital. Cambridge: Polity Press.
Hassmén, P., Koivula, N., & Uutela, A. (2000). Physical exercise and psychological well-being: a population study in Finland.
Preventive Medicine, 30(1), 1725.
Hays, R. B. (1988). Friendship. In S. Duck (Ed.), Handbook of personal relationships. Theory, research and interventions.
London: John Wiley & Sons.
Huang, G. C., Soto, D., Fujimoto, K., & Valente, T. W. (2014). The interplay of friendship networks and social networking
sites: longitudinal analysis of selection and influence effects on adolescent smoking and alcohol use. American
Journal of Public Health, 104(8), 5159.
Huxthold, O., Miche, M., & Schz, B. (2013). Benefits of having friends in older ages: differential effects of informal social
activities on well-being in middle-aged and older adults. The Journals of Gerontology Series B: Psychological Sciences
and Social Sciences, 69(3), 366375.
ISTAT. (2015). Rapporto Annuale 2015,La situazione del Paese. Roma: Istat.
ISTAT. (2016). Rapporto Bes 2016: Il Benessere equo e sostenibile in Italia. Roma: Istat.
Kahneman, D., & Deaton, A. (2010). High income improves evaluation of the life but not emotional wellbeing.
Proceedings of the National Academy of Sciences, 107(38), 1648916493.
Keim, S., Klämer, A., & Bernardi, L. (2009). Qualifying social influence on fertility intentions composition, structure and
meaning of fertility-relevant social networks in Western Germany. Current Sociology, 57(6), 888907.
Leoni, E. L. (2009). Analyzing multiple surveys: results from Monte Carlo experiments (pp. 138). Ms. Columbia University.
Lim, C., & Putnam, R. D. (2010). Religion, social networks, and life satisfaction. American Sociological Review, 75(6), 914933.
Lin, N., Fu, Y., & Hsung, R. (2001). The position generator: a measurement instrument for social capital. In N. Lin, K. Cook,
& R. Burt (Eds.), Social capital: theory and research (pp. 5781). New York: Aldine de Gruyter.
McCamish-Svensson, C., Samuelson, G., Hagberg, B., Svensson, T., & Dehlin, O. (1999). Social relationships and health as
predictors of life satisfaction in advanced old age: results from a Swedish longitudinal study. The International
Journal of Aging and Human Development, 48(4), 301324.
Meggiolaro, S., & Ongaro, F. (2015). Life satisfaction among older people in Italy in a gender approach. Ageing & Society,
35(7), 14811504.
Merz, E. M., Consedine, N. S., Schulze, H. J., & Schuengel, C. (2009). Wellbeing of adult children and ageing parents is
associated with intergenerational support and relationship quality. Ageing & Society, 29(5), 783802.
Merz, E. M., & Huxhold, O. (2010). Well-being depends on social relationship characteristics: comparing different types
and providers of support to older adults. Ageing & Society, 30(5), 843857.
Møller, V., & Saris, W. E. (2001). The relationship between subjective well-being and domain satisfactions in South Africa.
Social Indicators Research, 55,97114.
Myers, D. G. (2000). The funds, friends, and faith of happy people. American Psychologist, 55(1), 5667.
Nguyen, A. W., Chatters, L. M., Taylor, R. J., & Mouzon, D. M. (2015). Social support from family and friends and subjective
well-being of older African Americans. Journal of Happiness Studies.
Pattison, P. E., & Robins, G. L. (2002). Neighbourhood based models for social networks. Sociological Methodology, 32,301337.
Pavot, W., & Diener, E. (1993). Review of the satisfaction with life scale. Psychological Assessment, 5, 164172.
Peterson, C., Park, N., & Seligman, M. E. P. (2005). Orientation to happiness and life satisfaction: the full life versus the empty
life. Journal of Happiness Studies, 6,2541.
Portes, A. (1998). Social capital: Its origins and applications in modern sociology. Annual Review of Sociology, 24,124.
Powdthavee, N. (2008). Putting a price tag on friends, relatives, and neighbours: using surveys of life satisfaction to value
social relationships. The Journal of Socio-Economics, 37(4), 14591480.
Putnam, R. D. (2000). Bowling alone: the collapse and revival of American community. New York: Simon and Schuster.
Rojas, M. (2006). Life satisfaction and satisfaction in domains of life: is it a simple relationship? Journal of Happiness
Studies, 7(4), 467497.
Schaefer, D. R., Haas, S. A., & Bisho, N. J. (2012). A dynamic model of US adolescentssmoking and friendship networks.
American Journal of Public Health, 102(6), 1218.
Shields, M. A., Price, S. W., & Wooden, M. (2009). Life satisfaction and the economic and social characteristics of
neighbourhoods. Journal of Population Economics, 22(2), 421443.
Siedlecki, K. L., Tucker-Drob, E. M., Oishi, S., & Salthouse, T. A. (2008). Life satisfaction across adulthood: different
determinants at different ages? The Journal of Positive Psychology, 3, 153164.
Suanet, B., & Antonucci, T. C. (2017). Cohort differences in received social support in later life: the role of network type.
The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 72(4), 706715.
Amati et al. Genus (2018) 74:7 Page 17 of 18
Taylor, R. J., Chatters, L. M., Hardison, C. B., & Riley, A. (2001). Informal social support networks and subjective well-being
among African Americans. Journal of Black Psychology, 27(4), 439463.
Van Der Horst, M., & Coffè, H. (2012). How friendship network characteristics influence subjective well-being. Social Indicators
Research, 107(3), 509529.
Verbrugge, L. M. (1977). The structure of adult friendship choices. Social Forces, 56, 576597.
Walen, H. R., & Lachman, M. E. (2000). Social support and strain from partner, family, and friends: costs and benefits for
men and women in adulthood. Journal of Social and Personal Relationships, 17,530.
Wrzus, C., Wagner, J., & Neyer, F. J. (2012). The interdependence of horizontal family relationships and friendships
relates to higher well-being. Personal Relationships, 19, 465482.
Yeung, G. T. Y., & Fung, H. H. (2007). Social support and life satisfaction among Hong Kong Chinese older adults: family
first? European Journal of Ageing, 4(4), 219227.
Zhu, X., Woo, S. E., Porter, C., & Brzezinski, M. (2013). Pathways to happiness: from personality to social networks and
perceived support. Social Network, 35(3), 382393.
Amati et al. Genus (2018) 74:7 Page 18 of 18
... Social connectedness is a social relationship variable [52]. Social relations benefit one's mental and physical health and contribute to overall wellbeing [53]. The importance of social connectedness to well-being is well documented [52,54]. ...
... Other factors may act as mediators and enhance this form of satisfaction, such as tourists' experiences and trip-related satisfaction [67]. This study also corroborated earlier work in which social connectedness displayed a significant positive relationship with life satisfaction [52,53,55]. People possessing higher social connectedness are more likely to integrate into society and to be more satisfied with their lives overall [55]. ...
Full-text available
This study examines the general relationship between tourists’ park visits and life satisfaction. Specifically, the article focuses on relationships between verbal and nonverbal and positive and negative tourist-to-tourist interactions, social connectedness, and life satisfaction. Results show that friendly conversation has significant positive relationships with life satisfaction and social connectedness, whereas unfriendly behavior is negatively related to social connectedness. Social connectedness has a significant positive relationship with life satisfaction and plays a mediating role between tourist-to-tourist interaction and life satisfaction. By exploring several types of tourist-to-tourist interaction, this study offers insights into tourist-to-tourist interaction and life satisfaction under a pandemic context.
... At a 1% significance level, a positive significant relationship has been seen between financial behavior and life satisfaction, thus, this result approves H3, this finding is supported by the following ( Table 8 shows the indirect relationship between construct. Social capital has a direct effect on life satisfaction (Amati et al., 2018). Therefore, they can also have an indirect effect. ...
Full-text available
This study obtained primary data from 486 service sector employees of Lahore, Pakistan. The Partial Least Square Structural Equation Modelling (PLS-SEM) technique was used to analyze the association between objective and subjective financial wellbeing and life satisfaction. The findings of the study suggested that financial knowledge, financial behavior, and financial satisfaction have an impact on life satisfaction. Moreover, social capital dimensions have shown the mediating effect between dependent and independent variables of the study. Therefore, it is concluded that employees who have good social networks and participate in social activities have better financial wellbeing and life satisfaction. This research is first in its nature by studying financial wellbeing of Pakistan's service sector employees through both objective and subjective measures of financial wellbeing and with the mediation of social capital.
... The relationship could also be more indirect, with greedy people being less satisfied with life due to the fact that, for example, their relationships are shorter lasting or their families are smaller. Having good social relationships is crucial to well-being (e.g., Amati et al., 2018), even more so than having a good income (Powdthavee, 2008). ...
Full-text available
What is greed good for? Greed is ubiquitous, suggesting that it must have some benefits, but it is also often condemned. In a representative sample of the Dutch population (N = 2,367, 51.3% female, Mage = 54.06, SD = 17.90), we examined two questions. First, inspired by Eriksson et al., we studied whether greedy people generate more personal and household income (economic outcomes), have more sexual partners, longer relationships, and more offspring (evolutionary outcomes), and are more satisfied in life (psychological outcomes). We found that greedy individuals had higher economic outcomes, mixed evolutionary outcomes, and lower psychological outcomes. Second, we compared greed and self-interest. We found that they differed in terms of economic outcomes, and partly in terms of evolutionary outcomes, but that they were similar in terms of psychological outcomes. This research provides insights into what greed is and does. Directions for further research are discussed.
... Social interaction is one of the determinants of quality of life [9]. Other studies also show that interactions with friends (quantity and quality) will also determine life satisfaction [10]. The results of this study indicate that the more communications carried out and the better the quality of interactions carried out, the better quality and life satisfaction will be. ...
Conference Paper
Full-text available
Covid-19, which is pandemic throughout the world, including Indonesia, forced face-to-face learning to be transformed into distance learning. Distance learning done through various platforms. This research aims to find out what platform was the most enjoyable to use during learning for students. The sample were 119 students from the Family Welfare Education Study Program, Engineering Faculty, Universitas Negeri Jakarta. The study conducted from April to May 2020. The research used descriptive qualitative methods. The results showed that 45% of students chose Google Classroom as the most enjoyable platform to use during distance learning, 28% of students chose Zoom, 9% of students chose WhatsApp, and the rest chose on several platforms such as Edmodo, Slido, Quizizz, Schoology, Seesaw, and Google Meet. The main reason for choosing the platform as seen from the effectiveness and ease of access. To keep distance learning enjoyable for students, they create coping strategies for themselves. Respondents did some things such as journaling, always thinking positively, interacting with friends and family, creating an atmosphere of learning like being in class, and not delaying assignments. When there is free time, they often listen to music, watch movies, play with pets,or get more rest.
... One thinks, for instance, of the negative effect on the use of medical services and the consequences it has for migrants' health (Stewart et al., 2010). In addition, it is well-known that friendships can sometimes play a negative role in ensuring the well-being of others for a variety of reasons (Amati et al., 2018), because some friends may be troublesome and thus have a deleterious effect on others (Halpern, 2005). For example, such friends may encourage unhealthy behaviors (Huang et al., 2014;Schaefer et al., 2012), which ultimately reduces satisfaction with life. ...
Full-text available
Moving from one country to another involves not only separation from the country of origin, but also the tiring process of integration into a new physical, institutional, and sociocultural context, which may expose migrants to acculturation stress. The loss of former support networks, or at the very least their transformation, presents immigrants with the need to rebuild their social support systems in the host country, involving an active search for support. Therefore, the aim of study is to analyze the structure of informal social support and its capacity to predict immigrants’ sense of community, resilience, and satisfaction with life. The results confirm that social support predicts satisfaction with life, sense of community, and resilience. Our findings highlight the way sources and frequency of support, and the satisfaction with which they are associated, have different degrees of predictive value on the dependent variables under investigation. In this study, it can be concluded that social support is an important factor in the well-being of migrants and their integration into the host community. The results have an important practical value in promoting interventions that improve immigrants’ support networks and, consequently, increase their satisfaction with life, sense of community, and resilience.
... Additionally, studies found that teenagers who are in good mental health may have a more favorable experience in their intrapersonal and interpersonal relationships, in their academic life, and future development [31,32]. A lack of psychological wellbeing in the academic sector [33] is the root cause of teenagers getting into fights and skipping class. ...
Full-text available
The rising prevalence of depression among teenagers in Malaysia as well as globally makes it a vital issue to study. The purpose of this research is to examine the effects of social connection and self-perceived depression towards the improved mental wellbeing of the teenagers of Malaysia. Moreover, the mediating role of self-perceived depression on the improvement of the mental wellbeing of teenagers is examined in this study. This study followed a questionnaire-based approach. The sample of this study included 289 students aged between 15 and 19 years from Klang Valley, Malaysia. Prior permission was obtained from school authorities as well as from parents to allow their children to participate in the survey. To find out the structural relationship between the variables, PLS-SEM was utilized. This study finds that stronger social connections with family and friends may result in reduced self-perceived depression among Malaysian teenagers. Moreover, self-perceived depression among the teenagers surveyed had a negative effect on their improved mental wellbeing. The findings of this study will significantly affect how depression theories are currently understood and have consequences for social work, services, and policy interventions regarding teenagers in Malaysia.
Full-text available
The aim of this Research Topic, Human Connection as a Treatment for Addiction, is to bring together scholars from various fields to explore the question of whether intentionally increasing meaningful, caring interaction between people may reduce substance and/or non-substance related addictive behaviors. Previous research supports the role that social connection may play in the initiation and maintenance of addiction in both animals and humans (van der Eijk and Uusitalo, 2016; Christie, 2021).
Full-text available
Job satisfaction is one of the hottest topics among the working population, including those in the teaching profession. However, a lack of study has been undertaken to examine predictors associated with teachers' job satisfaction in boarding schools in Malaysia. Given this, the present study aimed to investigate predictors of teachers' job satisfaction: school discipline climate, management style, and friendship quality. This cross-sectional study involved 105 teachers from two Malaysian Sports Schools. Four instruments were utilized: The School Discipline Climate Survey (SDCS) for measuring the aspect of school discipline climate, Leader Behavior Description Questionnaire (LBDQ) for examining management style, Friendship Quality Scale (FQS) was to assess factors of friendship quality, and Job Satisfaction Questionnaire to measure job satisfaction. Predictors associated with job satisfaction among teachers in sports school in Malaysia were discipline teamwork (M = 4.11, SD = 0.54), the directive style (M = 3.63, SD = 0.38) and closeness (M = 4.08, SD = 0.44). The study also found that management style was significantly correlated to job satisfaction (r = 2.12, p < 0.05). In addition, there was a difference in gender for management style (t = 2.32, p < 0.05). The study findings contributed to the knowledge of predictors associated with job satisfaction among those in the teaching profession in Malaysia and highlighted the importance of predictors that need to be taken into account with regards to job satisfaction among teachers and in developing appropriate strategies in maximizing job satisfaction at the workplace. Numerous predictors associated with boarding school (i.e., those in sports school) teachers' job satisfaction may differ from other teaching professions, such as primary and secondary school. Thus, improving and understanding the influence of school discipline climate, management style, and friendship quality towards teacher's job satisfaction with regards to enhancing satisfaction among teachers. 摘要: 工作满意度是工作人群中最热门的话题之一,包括教师行业。然而,缺乏研究来检验与马来西亚寄宿学校教师 工作满意度相关的预测因素。鉴于此,本研究旨在调查教师工作满意度的预测因素:学校纪律氛围、管理风格 和友谊质量。这项横断面研究涉及来自两所马来西亚体育学校的 105 名教师。使用了四种工具:学校纪律气 候调查(可持续发展中心)用于衡量学校纪律气候方面,领导行为描述问卷(LBDQ)用于检查管理风格,友谊 质量量表(FQS)用于评估友谊质量的因素,以及工作测量工作满意度的满意度问卷。与马来西亚体校教师工 作满意度相关的预测因素是纪律团队合作(米= 4.11,标清= 0.54)、指导风格(米 = 3.63,标清 = 0.38) 和亲密度(米= 4.08,标清= 0.44)。研究还发现,管理风格与工作满意度显着相关(r = 2.12,p < 0.05) 。此外,管理风格的性别存在差异(t = 2.32,磷< 0.05)。研究结果有助于了解与马来西亚教师职业中的工 作满意度相关的预测因素,并强调了在教师工作满意度方面需要考虑的预测因素的重要性,以及制定适当策略 以最大限度地提高工作满意度在工作场所。许多与寄宿学校(即体校教师)教师工作满意度相关的预测因素可 能与其他教学职业(如小学和中学)有所不同。因此,从提高教师满意度的角度,改善和理解学校纪律风气、 管理风格和友谊质量对教师工作满意度的影响。 关键词: 学校纪律氛围,管理风格,友谊品质,工作满意度,马来西亚。
Full-text available
This paper studies the tensions generated by the clash between gentrifying redevelopment in Dharavi, one of Asia's largest slums, situated in the heart of Mumbai's financial district. The inhabitants of Dharavi, 'Dharavikars,' lack access to basic infrastructure, including waste disposal systems, equitable water distribution, and communications facilities. Prior to the 1990s, these needs were largely overlooked by the government, and a local form of capitalist-neoliberal networks arose to fulfill the slum's needs. In the 1990s, however, the ideology of neoliberalism that advocates for free trade and competition incentivized a set of policies promoting state sponsored private international investment. The neoliberalization of India sought to catalyze modernization, transforming benign, self-functioning settlements such as Dharavi into malicious deformities in the government's vision for the future. As outlined by urban plans of the early 2000s, this future depended upon the displacement of slum-residents by higher-income, middle-class communities. Instead of providing the paving under these settlements, Mumbai's urban plans sought to pave over them. While other slums across Mumbai vanished and shifted to the fringes of the city, Dharavi mobilized to defend its existence. As a result of its unique cultural and economic diversity, the slum nurtures extensive social networks that configure its informal businesses and industries, which have enabled a trade and caste-based mobilization against gentrifying redevelopment. This paper will highlight Dharavi's unique socioeconomic networks and configurations, and their role in resisting the Dharavi Redevelopment Project, a massive urban redesign scheme undertaken in Mumbai in 2004. Dharavi is grounded in India's past of incremental grassroots development, while Mumbai symbolizes India's potential future. The conflict between the two represents a crossroads for how India will modernize, illustrating the importance of culturally sensitive redevelopment and encouraging planners to ask, "who do we design for?"
Full-text available
Academia has been facing a mental health crisis particularly affecting early career researchers (ECRs). Moreover, the COVID-19 pandemic posed an unprecedented burden on the mental health of many individuals. Therefore, we cross-sectionally investigated how doctoral researchers (N = 222) evaluate their mental health status and satisfaction with their PhD training before and during the pandemic. As compared to self-reported, retrospective evaluations about the pre-pandemic state, we found decreased satisfaction with PhD training and overall well-being. The whole sample exhibited high levels of personal and work-related burnout, a fifth indicated clinically meaningful levels of depressive symptoms and almost 25% experienced severe loneliness. When exploring predictors of depression, anxiety, and burnout, we identified low satisfaction with PhD training as the most prominent predictor for poor mental health, suggesting a link between the doctoral work and their mental health status. Females vs. males and doctoral researchers in individual doctorate vs. structured PhD programs reported higher symptoms of burnout. Our study replicates previous findings of poor mental health in doctoral researchers and indicates further decreases of mental wellbeing under the influence of the pandemic. Systematic adjustments in academia are required to improve the mental health of ECRs.
Full-text available
The need for support becomes stronger in situations of pressure, uncertainty and overload caused by unfavorable economic, demographic or social circumstances. Especially in countries—such as Italy—where an adequate welfare system is lacking, the individual’s social space can represent a resilience (anti-frailty) tool through the activation of a support network. While the literature has mainly analyzed the support that some vulnerable categories (e.g., elderly and youths) receive from their family, we focus on individuals living in Italy in the first stages of their family life, with the aim of describing their support network. We construct the potential support ego-centered (PSE) network—at partner and couple level—of individuals living in couple using data from the survey “Family and Social Subjects” carried out in Italy in 2009 by the Italian National Statistical Institute. Furthermore, we compare the network typologies detected using two alternative clustering techniques with the objective of finding the partners’ and couples’ network types and verifying whether traditional strong support received by the family persists in Italy and/or whether new kinds of support networks are emerging. Several PSE network typologies, ranging from empty to comprehensive networks, were determined with a fair match between the two procedures. Analysis revealed the importance of friends and neighbors, especially in the North of Italy, to the support of partners and couple as a whole.
Full-text available
Objectives: The objective is to assess cohort differences in received emotional and instrumental support in relation to network types. The main guiding hypothesis is that due to increased salience of non-kin with recent social change, those in friend-focused and diverse network types receive more support in later birth cohorts than earlier birth cohorts. Method: Data from the Longitudinal Aging Study Amsterdam are employed. We investigate cohort differences in total received emotional and instrumental support in a series of linear regression models comparing birth cohorts aged 55–64, 65–74, 75–84, and 85–94 across three time periods (1992, 2002, and 2012). Results: Four network types (friend, family, restricted, and diverse) are identified. Friend-focused networks are more common in later birth cohorts, restrictive networks less common. Those in friend-focused networks in later cohorts report receiving more emotional and instrumental support. No differences in received support are evident upon diverse networks. Discussion: The increased salience of non-kin is reflected in an increase in received emotional and instrumental support in friend-focused networks in later birth cohorts. The preponderance of non-kin in networks should not be perceived as a deficit model for social relationships as restrictive networks are declining across birth cohorts.
Full-text available
This study examines the impact of informal social support from family and friends on the well-being of older African Americans. Analyses are based on a nationally representative sample of older African Americans from the National Survey of American Life (n = 837). Three measures of well-being are examined: life satisfaction, happiness and self-esteem. The social support variables include frequency of contact with family and friends, subjective closeness with family and friends, and negative interactions with family. Results indicate that family contact is positively correlated with life satisfaction. Subjective closeness with family is associated with life satisfaction and happiness and both subjective closeness with friends and negative interaction with family are associated with happiness and self-esteem. There are also significant interactions between family closeness and family contact for life satisfaction, as well as friendship closeness and negative interaction with family for happiness. Overall, our study finds that family and friend relationships make unique contributions to the well-being of older African Americans. Qualitative aspects of family and friend support networks (i.e., subjective closeness, negative interactions) are more important than are structural aspects (i.e., frequency of contact). Our analysis verify that relationships with family members can both enhance and be detrimental to well-being. The findings are discussed in relation to prior research on social support and negative interaction and their unique associations with well-being among older African Americans.
Friendship is considered to be an essential source of individual happiness by philosophers, psychological theories and researchers for centuries. This is the first book that explicitly focuses on the role of friendship experiences in happiness. The work presented in this volume addresses historical, theoretical and measurement issues in the study of friendship and happiness (e.g., when did the study of friendship and happiness start? Why friends are important for happiness?). Experts from different parts of the world provide in-depth authoritative reviews on the relationship between different types of friendship experiences (e.g., friendship quantity, quality) and happiness in different age groups and cultures. In order to achieve a balanced evaluation of this area as a whole, the book concludes with a critical appraisal of what is known about the role of friendship in happiness and provides important directions for future research. An ideal resource for researchers and students of positive psychology, this rich, clear, and up-to-date book serves as an important reference for academicians in related fields of psychology such as cross-cultural, developmental and social.
Relying on the theoretical model of [Lyubomirsky et al. 2005, Review of General Psychology, 9, pp. 111-131], the present study investigated the relationship between personality, number of friends, best friendship quality and happiness among 423 young adults (n = 300 women). The main interest was to examine whether friendship contributed to happiness while controlling for personality. Friendship variables accounted for 58% of the variance in happiness. Results revealed that friendship quality predicted happiness above and beyond the influence of personality and number of friends, but friendship conflict was not a significant predictor. Additional analyses revealed that the companionship and self-validation features of friendship quality were predictive of happiness while controlling for gender and personality. The findings were discussed in the light of theory and empirical research and suggestions were made for future research.