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The Relationship Between Cumulative Ecological Risk and Problematic Smartphone Use Among Chinese College Students: Based on Latent Profile Analysis
Abstract
The aim of the current study is to explore the number of classes of cumulative ecological risk with latent profile analysis. Furthermore, the relationships between the classes of cumulative ecological risk and problematic smartphone use (PSU) among 2050 Chinese college students were researched. The results showed that there are four latent classes of cumulative ecological risk among college students, namely, low risk - medium peer relationship risk group, medium risk - high belonging risk group, high identity risk - very high friend conflict risk group and high risk group, accounting for 11.71%, 30.54%, 9.75% and 48.00%, respectively. The number of the high risk group is the largest with the highest family risk, school risk, peer risk and social risk. The students in the medium risk - high belonging risk group have a particularly high risk of belonging, which should be paid attention to. The students in the low risk - medium peer relationship risk group are with a low level of ecological risk. The high identity risk - very high friend conflict risk group have the fewest students, indicating that only a few students have high school identity risk and very high risk of friend conflict. In addition, cumulative ecological risk is significantly positively correlated with PSU, and the PSU level of the high risk group is significantly higher than that of other groups. These findings indicate that there is considerable heterogeneity in cumulative ecological risk, and there is different correlation between cumulative ecological risk and PSU among college students. The current study not only enriches the biological ecological model, showing that the combined action of multiple ecological risks has a greater impact on PSU, but also provides a basis for classified intervention of college students of different classes.
Introduction
Cyberbullying among college students has been receiving increased research attention. Previous studies have focused primarily on the impact of a single risk factor on cyberbullying among college students. However, individual behavior is influenced by multiple ecosystems simultaneously, including family, school, and peers. To explore the effects of a single risk factor alone is not in line with the reality of everyday life, and the effect of the single risk factor can often be overestimated. Therefore, this study aimed to explore the impact of multiple risk factors, namely cumulative ecological risk, on cyberbullying, while analyzing the mediating roles of belief in a just world and moral disengagement.
Methods
A survey was conducted among 805 college students from two universities in Hebei Province, China, using the cumulative ecological risk questionnaire, the cyberbullying scale, the belief in a just world scale, and the moral disengagement scale.
Results
The results showed that: (a) Cumulative ecological risk was positively correlated with moral disengagement and cyberbullying, and negatively correlated with belief in a just world. Belief in a just world was negatively correlated with moral disengagement and cyberbullying. Moral disengagement was positively correlated with cyberbullying; (b) Belief in a just world partially mediated the relationship between cumulative ecological risk and cyberbullying; (c) Moral disengagement partially mediated the relationship between cumulative ecological risk and cyberbullying; (d) Belief in a just world and moral disengagement played a chain mediating role between cumulative ecological risk and college students’ cyberbullying.
Discussion
This study provides valuable insight for the reduction of cyberbullying behavior among college students, and offers suggestions on how to create a more favorable online environment.
Objective:
Previous research showed that individuals with eating disorders (EDs) can be subtyped by their levels of psychopathology and self-regulation abilities. However, nothing is known about whether self-regulation abilities are solely suited to depict the heterogeneity in ED and comorbid psychopathology in nonclinical samples. Therefore, this study sought to explore self-regulation profiles and their ability to discriminate ED, depression and anxiety disorders, and personality dysfunction in the adult population.
Methods:
Within a German representative sample, N = 2391 adults (18-92 years) were examined using latent profile analysis to identify profiles based on established cognitive and emotional self-regulation scales including attention control, cognitive reappraisal, and difficulties in identifying feelings. Profiles were validated with ED, depression, anxiety, and personality dysfunction measures.
Results:
The final solution selected as best balancing goodness of fit and interpretability included four profiles-High-Functioning, Moderate-Functioning, Dysregulated, and Alexithymic-with high explanatory power of R2 = .99. Profiles were characterized primarily by differences in difficulties in identifying feelings followed by differences in attention control and differed significantly regarding ED, depression and anxiety disorders, and personality dysfunction, with the Dysregulated profile showing the most unfavorable correlates.
Conclusions:
This study uniquely revealed that low cognitive and emotional self-regulation were indicators for ED, depression, anxiety, and personality dysfunction in the adult population. Future research should investigate whether the identified profiles predict the development of ED and comorbid psychopathology longitudinally.
Public significance:
Individuals with eating disorders present with difficulties in cognitive and emotional self-regulation, likely maintaining their symptoms. This representative study in the German adult population sought to build profiles based on cognitive and emotional self-regulation that differed in eating disorder and comorbid psychopathology. We discuss the potential to detect individuals with elevated eating disorder and comorbid psychopathology based on the identified profiles in nonclinical settings.
Objectives
Independently, physical activity (PA), sedentary behavior (SB), and sleep are related to the development and progression of chronic diseases. Less is known about how rest-activity behaviors cluster within individuals and how rest-activity behavior profiles relate to health. In this study we aimed to investigate if adult women cluster into profiles based on how they accumulate rest-activity behavior (including accelerometer-measured PA, SB, and sleep), and if participant characteristics and health outcomes differ by profile membership.
Methods
A convenience sample of 372 women (mean age 55.38 + 10.16) were recruited from four US cities. Participants wore ActiGraph GT3X+ accelerometers on the hip and wrist for a week. Total daily minutes in moderate-to-vigorous PA (MVPA) and percentage of wear-time spent in SB was estimated from the hip device. Total sleep time (hours/minutes) and sleep efficiency (% of in bed time asleep) were estimated from the wrist device. Latent profile analysis (LPA) was performed to identify clusters of participants based on accumulation of the four rest-activity variables. Adjusted ANOVAs were conducted to explore differences in demographic characteristics and health outcomes across profiles.
Results
Rest-activity variables clustered to form five behavior profiles: Moderately Active Poor Sleepers (7%), Highly Actives (9%), Inactives (41%), Moderately Actives (28%), and Actives (15%). The Moderately Active Poor Sleepers (profile 1) had the lowest proportion of whites (35% vs 78–91%, p < .001) and college graduates (28% vs 68–90%, p = .004). Health outcomes did not vary significantly across all rest-activity profiles.
Conclusions
In this sample, women clustered within daily rest-activity behavior profiles. Identifying 24-hour behavior profiles can inform intervention population targets and innovative behavioral goals of multiple health behavior interventions.
In order to clarify the onset mechanism of problematic mobile phone use, and to develop better strategies to prevent and treat problematic mobile phone use, the current study tested the negative impact of parental rejection on problematic mobile phone use and the mediating roles of perceived discrimination and school engagement in this association. The sample consisted of 356 Chinese university students (36.3% male) ranging from 17 to 19 years of age. Participants completed self-report questionnaires assessing parental rejection, perceived discrimination, school engagement, and problematic mobile phone use. The results documented that parental rejection was a direct risk factor for problematic mobile phone use. This association was mediated by perceived discrimination, and there was also a sequential mediating effect in which perceived discrimination led in turn to low school engagement.
Background and aims:
Smartphone addiction, its association with smartphone use, and its predictors have not yet been studied in a European sample. This study investigated indicators of smartphone use, smartphone addiction, and their associations with demographic and health behaviour-related variables in young people.
Methods:
A convenience sample of 1,519 students from 127 Swiss vocational school classes participated in a survey assessing demographic and health-related characteristics as well as indicators of smartphone use and addiction. Smartphone addiction was assessed using a short version of the Smartphone Addiction Scale for Adolescents (SAS-SV). Logistic regression analyses were conducted to investigate demographic and health-related predictors of smartphone addiction.
Results:
Smartphone addiction occurred in 256 (16.9%) of the 1,519 students. Longer duration of smartphone use on a typical day, a shorter time period until first smartphone use in the morning, and reporting that social networking was the most personally relevant smartphone function were associated with smartphone addiction. Smartphone addiction was more prevalent in younger adolescents (15-16 years) compared with young adults (19 years and older), students with both parents born outside Switzerland, persons reporting lower physical activity, and those reporting higher stress. Alcohol and tobacco consumption were unrelated to smartphone addiction.
Discussion:
Different indicators of smartphone use are associated with smartphone addiction and subgroups of young people have a higher prevalence of smartphone addiction.
Conclusions:
The study provides the first insights into smartphone use, smartphone addiction, and predictors of smartphone addiction in young people from a European country, which should be extended in further studies.
Ecologically valid typologies of adverse child experiences (ACEs) were identified to investigate
the link between ACEs and adult incarceration. In a nationally representative sample (N=34,653,
age 20+), latent class analysis (LCA) was conducted with childhood maltreatment [physical,
sexual, and emotional abuse, interpersonal violence (IPV) exposure, physical neglect] and
caregiver maladjustment (substance use, incarceration, mental illness, suicidal behavior)
indicators. LCA identified a 5-typology model (1. Low Adversity Risk, 2. Caregiver Substance
Use, and Maltreatment Acts of Omission, 3. Physical and Emotional Maltreatment, 4. Severe
Cross-Subtype Maltreatment and Caregiver Substance Use, and 5. Caregiver Maladjustment).
Controlling for sociodemographics and substance use problems, logistic regression analyses
determined that, compared to the Low Adversity Risk typology, all typologies (except Caregiver
Maladjustment) had elevated incarceration risk (adjusted odds ratios: 1.76-4.18). Maltreatment
experiences were more predictive of incarceration for females vs. males. Childhood
maltreatment confers risk for incarceration beyond established risk factors, but caregiver
maladjustment, alone, does not. Preventative efforts should focus on understanding and targeting
pathways to delinquency for individuals with childhood maltreatment.
Abstract Based on a sample of 944 respondents who were recruited from 20 elementary schools in South Korea, this research surveyed the factors that lead to smartphone addiction. This research examined the user characteristics and media content types that can lead to addiction. With regard to user characteristics, results showed that those who have lower self-control and those who have greater stress were more likely to be addicted to smartphones. For media content types, those who use smartphones for SNS, games, and entertainment were more likely to be addicted to smartphones, whereas those who use smartphones for study-related purposes were not. Although both SNS use and game use were positive predictors of smartphone addiction, SNS use was a stronger predictor of smartphone addiction than game use.
Humans have a potential for growth, integration, and well-being, while also being vulnerable to defensiveness, aggression, and ill-being. Self-determination theory (R. M. Ryan & E. L. Deci, 2000, Self-determination theory and the facilitation of intrinsic motivation, social development and well-being, American Psychologist, Vol. 55, pp. 68–78) argues that satisfaction of the basic psychological needs for autonomy, competence, and relatedness both fosters immediate well-being and strengthens inner resources contributing to subsequent resilience, whereas need frustration evokes ill-being and increased vulnerabilities for defensiveness and psychopathology. We briefly review recent research indicating how contextual need support and the experience of need satisfaction promote well-being and different growth manifestations (e.g., intrinsic motivation, internalization), as well as a rapidly growing body of work relating need thwarting and need frustration to ill-being, pursuit of need substitutes, and various forms of maladaptive functioning. Finally, we discuss research on differences in autonomous self-regulation and mindfulness, which serve as factors of resilience. (PsycINFO Database Record (c) 2013 APA, all rights reserved)
This study developed a Smartphone Addiction Proneness Scale (SAPS) based on the existing internet and cellular phone addiction scales. For the development of this scale, 29 items (1.5 times the final number of items) were initially selected as preliminary items, based on the previous studies on internet/phone addiction as well as the clinical experience of involved experts. The preliminary scale was administered to a nationally representative sample of 795 students in elementary, middle, and high schools across South Korea. Then, final 15 items were selected according to the reliability test results. The final scale consisted of four subdomains: (1) disturbance of adaptive functions, (2) virtual life orientation, (3) withdrawal, and (4) tolerance. The final scale indicated a high reliability with Cronbach's α of .880. Support for the scale's criterion validity has been demonstrated by its relationship to the internet addiction scale, KS-II (r = .49). For the analysis of construct validity, we tested the Structural Equation Model. The results showed the four-factor structure to be valid (NFI = .943, TLI = .902, CFI = .902, RMSEA = .034). Smartphone addiction is gaining a greater spotlight as possibly a new form of addiction along with internet addiction. The SAPS appears to be a reliable and valid diagnostic scale for screening adolescents who may be at risk of smartphone addiction. Further implications and limitations are discussed.
Abstract Problematic Internet use has long been a matter of concern; however, few studies extend this line of research from general Internet use to the use of social network sites (SNSs), or explicate the problematic use of SNSs by understanding what factors may enhance or reduce users' compulsive behaviors and excessive form of use on SNSs. Building on literature that found a positive relationship between gratifications sought from the Internet and problematic Internet use, this study first explores the types of gratifications sought from SNSs and examines their relationship with problematic SNS use. It found that three types of gratifications-diversion, self-presentation, and relationship building-were positively related to problematic SNS use. In addition, with a growing body of research on SNS privacy, a moderating role of privacy concerns on SNSs has been proposed to understand how it can influence the relationship between gratifications sought from SNSs and problematic SNS use. The findings suggest that different subdimensions of privacy concerns interact with gratifications sought in different manners. In other words, privacy concerns, including unauthorized secondary use and improper access, play a more influential role in constraining the positive relationship between gratifications sought and problematic SNS use when individuals seek to build relationships on SNSs. However, if individuals seek to have diversion on SNSs, their privacy concerns will be overridden by their gratifications sought, which in turn leads to problematic SNS use. Implications of these findings for future research are discussed.
Childhood multiple risk factor exposure exceeds the adverse developmental impacts of singular exposures. Multiple risk factor exposure may also explain why sociodemographic variables (e.g., poverty) can have adverse consequences. Most research on multiple risk factor exposure has relied upon cumulative risk (CR) as the measure of multiple risk. CR is constructed by dichotomizing each risk factor exposure (0 = no risk; 1 = risk) and then summing the dichotomous scores. Despite its widespread use in developmental psychology and elsewhere, CR has several shortcomings: Risk is designated arbitrarily; data on risk intensity are lost; and the index is additive, precluding the possibility of statistical interactions between risk factors. On the other hand, theoretically more compelling multiple risk metrics prove untenable because of low statistical power, extreme higher order interaction terms, low robustness, and collinearity among risk factors. CR multiple risk metrics are parsimonious, are statistically sensitive even with small samples, and make no assumptions about the relative strengths of multiple risk factors or their collinearity. CR also fits well with underlying theoretical models (e.g., Bronfenbrenner's, 1979, bioecological model; McEwen's, 1998, allostasis model of chronic stress; and Ellis, Figueredo, Brumbach, & Schlomer's, 2009, developmental evolutionary theory) concerning why multiple risk factor exposure is more harmful than singular risk exposure. We review the child CR literature, comparing CR to alternative multiple risk measurement models. We also discuss strengths and weaknesses of developmental CR research, offering analytic and theoretical suggestions to strengthen this growing area of scholarship. Finally, we highlight intervention and policy implications of CR and child development research and theory. (PsycINFO Database Record (c) 2013 APA, all rights reserved).
As discussed in the previous statistical notes, although many statistical methods have been proposed to test normality of data in various ways, there is no current gold standard method. The eyeball test may be useful for medium to large sized (e.g., n > 50) samples, however may not useful for small samples. The formal normality tests including Shapiro-Wilk test and Kolmogorov-Smirnov test may be used from small to medium sized samples (e.g., n < 300), but may be unreliable for large samples. Moreover we may be confused because ‘eyeball test’ and ‘formal normality test’ may show incompatible results for the same data. To resolve the problem, another method of assessing normality using skewness and kurtosis of the distribution may be used, which may be relatively correct in both small samples and large samples. 1) Skewness and kurtosis Skewness is a measure of the asymmetry and kurtosis is a measure of ’peakedness’ of a distribution. Most statistical packages give you values of skewness and kurtosis as well as their standard errors.
This study investigated the associations between the intensity of mobile phone use and health-related lifestyle. For 275 university students, we evaluated health-related lifestyle using the Health Practice Index (HPI; Hagihara & Morimoto, 1991; Kusaka, Kondou, & Morimoto, 1992) and analyzed responses to a questionnaire (MPDQ; Toda, Monden, Kubo, & Morimoto, 2004) designed, with a self-rating scale, to gauge mobile phone dependence. For males, there was a significant relationship between smoking habits and mobile phone dependence. We also found that male respondents with low HPI scores were significantly higher for mobile phone dependence. These findings suggest that, particularly for males, the intensity of mobile phone use may be related to healthy lifestyle.
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of mixture models is that there is not one commonly accepted statistical indicator for deciding on the number of classes in a study population. This article presents the results of a simulation study that examines the performance of likelihood-based tests and the traditionally used Information Criterion (ICs) used for determining the number of classes in mixture modeling. We look at the performance of these tests and indexes for 3 types of mixture models: latent class analysis (LCA), a factor mixture model (FMA), and a growth mixture models (GMM). We evaluate the ability of the tests and indexes to correctly identify the number of classes at three different sample sizes (n D 200, 500, 1,000). Whereas the Bayesian Information Criterion performed the best of the ICs, the bootstrap likelihood ratio test proved to be a very consistent indicator of classes across all of the models considered.
Schools are one of the first and most influential service systems for young refugees. There is a burgeoning interest in developing school-based refugee mental health services, in part to reduce stigma and increase treatment access for this population. Despite the relevance of gaining a better understanding of how refugee students experience schools in resettlement and how this relates to psychosocial adjustment, belonging and connection to school have not been previously investigated among a population of resettled refugees. This study examines school belonging and psychosocial adjustment among a sample of 76 Somali adolescents resettled in the United States. A greater sense of school belonging was associated with lower depression and higher self-efficacy, regardless of the level of past exposure to adversities. Notably, more than one-quarter of the variation in self-efficacy was explained uniquely by a sense of school belonging. School belonging was not significantly associated with posttraumatic stress symptom severity and did not moderate the effect of exposure to adversities on psychological adjustment. These results suggest that investigating ways of improving school experiences would be particularly useful in the effort towards continued development of school-based mental health programs for young refugees.
The public is bombarded daily with reports about risk factors, many conflicting with each other, other accepted as “scientific truth” for awhile, then scientifically disproved, yet others questionable that later prove to be true. Physicians are faced with trying to make sense of those conflicting or questionable results in the scientific literature in order to guide their patients to the best possible decisions. The situation is not much easier for scientists whom ay waste yers of their productive life, and considerable resources, basing their research efforts on what prove to be misleading earlier research findings. What this book does is to present, in non “academese” and with many examples from the general media and scientific journals, a guide to a critical reading of research reports, which, in turn, serves as a guide to researchers as to which approaches are likely to be regarded with raised eyebrows, and what they need to do to generate results that will be take seriously. This stimulating and helpful book was written for informed consumers and physicians as well as for scientists evaluating the risk research literature or contemplating projects on risk research.
The mental health of individuals has become increasingly important during the novel coronavirus-2019 (COVID-19) pandemic. Given the number of healthcare staff that are helping to treat the victims of COVID-19 all over the world, there is a lack of research concerning the mental health of healthcare staff, and of the prior studies carried out, the research has been relatively descriptive and has not used more sophisticated types of analyses (e.g. latent profile analysis [LPA]). The aim of the present study was to investigate profiles of mental health among Chinese healthcare staff during the COVID-19 pandemic. The sample comprised of 456 healthcare staff, and participants completed an online survey including individual information and their working status during the COVID-19 pandemic. The survey included the Chinese Mental Health Scale (MHS-C), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). Utilizing the LPA, two profiles of mental health (good mental health and poor mental health) were identified for Chinese healthcare staff during the COVID-19 pandemic. Compared to those with a good mental health profile, those with poor mental health profile had significantly higher scores on SAS and SDS. Female healthcare staff had higher mental health disturbances than males. Taking care and protecting the mental health of healthcare staff is very important in the fight against COVID-19. The need for employers to implement positive and effective measures among mental healthcare staff is likely to help them to cope better with mental health issues and improve mental health, as well as enhance resilience. Healthcare staff with good mental health can dedicate themselves to better nursing practice and nursing education during the COVID-19 epidemic.
Based on the recent scientific literature on the social ecology of smartphone addiction, we have examined the empirical relationship between social digital pressure (SDP) and smartphone addiction by also looking at the influence of users' personalities, psychological distress, social support, and residential social living conditions on this addiction. The analyses were carried out on a nationally representative sample of 2,820 Spanish smartphone users. The results of the causal and multigroup models (structural equation model) indicated that the SDP was positively related to smartphone addiction. This influence was also independent of the effects on smartphone addiction of some personality traits (mainly low conscientiousness), high depression, low social support, and high social disorder in the neighborhood. SDP also showed an important mediating effect mainly for social factors (social support and social disorder in the neighborhood). SDP may be a relevant variable for understanding the potential risk of smartphone addiction in cases where there is a high need for social connection.
COVID-19 epidemic has brought wide psychological impacts on the young adults. To investigate the depression and anxiety symptoms and their associations with problematic smartphone use under the COVID-19 epidemic, a total of 847 Chinese undergraduate students joined in this study and were measured with their levels of depression and anxiety symptoms, resilience, perceived social support, the sense of school belonging and problematic smartphone use. Results showed that among the Chinese undergraduate students, the disorder rates of depression and anxiety symptoms were 29.16% and 46.64% respectively, and their symptoms ranged from mild to extreme severe. Depression and anxiety symptoms both positively predicted problematic smartphone use. Resilience, perceived social support and the sense of school belonging partially mediated both associations; resilience and the sense of school belonging exerted buffering effects, while perceived social support exacerbated the impacts. The current study advanced our understanding of the COVID-19 impacts and furthermore, suggested the protective factors for mitigating these impacts.
Excessive cellphone use impacts attention and learning in classrooms. Given that attention declines over time, we investigated when during lecture cellphones might impair learning. Across two experiments, participants watched a 20-min lecture under different cellphone conditions (keep or remove). Groups who kept their cellphones received distracting text messages during the lecture. Participants were quizzed on the lecture. Quiz questions were divided into four segments depending on when the material was presented. Lastly, participants' nomophobia—the fear of being without access to one's cellphone—was assessed. Participants who kept their cellphone performed worse on the quiz for material presented in the 3rd quarter of the lecture than those without cellphones. Distracted participants performed worse on the test for the same material than those who were not distracted. Participants higher in nomophobia, especially on subscales having to do with losing connectedness and giving up convenience, performed worse on the quiz for material that occurred in the 3rd quarter of the lecture. Findings indicate that having cellphones in a short lecture has its largest impact on attention and learning 10–15 min into the lecture. This study provides novel insights into the interactions between technology and learning to help educators and students optimize learning.
Accumulating evidence suggests that multiple environmental and individual risk factors are involved in the development of adolescent Internet addiction. However, previous research has primarily relied on variable-centered approaches to examine how each risk factor functions to predict Internet addiction in isolation, ignoring the possibility that there are subgroups of adolescents who may differ in their combined exposure to multiple risk factors. Using a cross-sectional design, we sampled 14 risk factors across multiple socio-ecological levels and used a person-centered approach to identify subgroups of multiple risk exposure and to relate these subgroups to adolescent Internet addiction. A total of 998 Chinese adolescents (Mage = 15.15 years, SD = 1.57) participated in this study by filling out questionnaires regarding 14 family, school, peer, and individual risk factors and Internet addiction. Latent profile analysis identified 4 profiles that evidenced distinct patterns of risk factors: low risk (37%), moderate risk (44%), high risk (15%) and peer risk (4%). The high risk and moderate risk profiles showed higher risk for Internet addiction than the low risk profile. The peer risk profile had higher risk for Internet addiction than the high risk, moderate risk, and low risk profiles. These findings suggest that considerable heterogeneity exists in multiple risk exposure and the multiple risk exposure profiles are differentially associated with adolescent Internet addiction. Results from this study can inform the development of tailored intervention and prevention strategies to reduce adolescent Internet addiction.
Childhood adversity is a complex issue with the potential for lasting effects over the developmental trajectory. Research has confirmed that people who experience significant adversity, hardship and trauma in early stages of development are at an increased risk of a range of negative outcomes at later stages of the life-course, including increased psychological distress and dysfunction, decreased likelihood of educational engagement and an increased risk of early parenthood. However, distal events exert their influence on later outcomes through various proximal mechanisms. One such postulated mechanism is a sense of belonging. This study investigated the role of sense of belonging as a mediator between experiences of adversity in childhood and psychosocial outcomes in emerging adulthood, amongst a sample of 254 young people receiving a range of social services throughout Australia. Results of three mediation analyses confirm that the path from childhood adversity to psychological distress and educational engagement is only weakly mediated by sense of belonging. No other statistically significant relationships were found. These results indicate that additional mediators are likely needed to more fully explain the effects of childhood adversity on psychosocial functioning in emerging adulthood. The paper concludes with a discussion of the relevance of belonging for practice in the field of child and youth welfare.
Merely a half century ago, research examining contextual correlates of youth psychopathology focused almost exclusively on parental factors (Hartup, 1970). Several influential initial studies revealed that children and young adults experiencing significant emotional difficulties could be identified by their troubling experiences with peers earlier in childhood (e.g., Roff, 1961). Soon after, follow-forward studies revealed that children who were disliked by their peers appeared to be at greater risk for a host of later negative outcomes, including delinquent or criminal activity and various symptoms of psychopathology (e.g., Coie, Terry, Lenox, Lochman, & Hyman, 1995). These findings contributed to an emphasis on understanding how children’s peer status, or acceptance/rejection among peers, may be associated with later psychopathology. Over time, researchers began to take interest in developmental antecedents or determinants of children’s peer status and in more broadly understanding the nature of early childhood peer experiences. Soon, an awareness of other types of peer relationships began to dominate researchers’ interest. For instance, studies revealed that youths’ success in dyadic relationships was orthogonal to their status within the overall peer group (Hartup, 1996). Children’s formation, maintenance, and quality of friendships soon became a focus of research; associations among aspects of friendships and adjustment also proliferated.
Today adolescents are highly engaged online. Contrary to common concern, not all highly engaged adolescents develop maladaptive patterns of internet use. The present qualitative study explored the experiences, patterns and impact of use of 124 adolescents (M age ¼ 16.0) reporting signs of internet addictive behaviors. The focus was to discern adaptive and mal-adaptive use patterns, which promote or interfere with adolescents' development, respec-tively. Semi-structured individual interviews were conducted in seven European countries (Iceland) and qualitatively analyzed using grounded theory. Considerable variability emerged in the way adolescents satisfied their personal needs online and offline, in the experienced impact from high online engagement and functional value ascribed to the internet, and in the self-regulatory processes underlying use. Variability in these discriminating processes was linked to adaptive or mal-adaptive adolescent internet use patterns. The emerged processes can provide direction for designing prevention and intervention programs promoting adaptive use.
This study problematizes the common methodology in studies on excessive internet use where psychological characteristics are sought as unique predictors of negative outcomes. It suggests that some predictors may be significant only by virtue of being examined in isolation. In an attempt to add to this methodology the present study explored motivations for a particular online activity, MMO gaming, and the association with excessive use. The study used survey data from players of World of Warcraft (WoW), a popular MMO game. The psychological characteristics investigated were based on previous studies of excessive internet use and included social anxiety, loneliness and stress. The motivations were achievement, escapism and social interaction. The results revealed that although loneliness and social anxiety were correlated with excessive use, they lost significance when stress was controlled for. Furthermore, all psychological predictors lost significance when escapism and achievement were controlled for. These results suggest that psychological characteristics only have an indirect effect on negative outcomes and that this relationship can be better explained by motivations acting as a mediating variable. Based on these results an alternative conceptualization was offered, termed compensatory internet use, emphasizing that excessive use may be more usefully framed and investigated as a coping strategy rather than compulsive behaviour.
Using data from Wave 1 (n = 5,070) and Wave 2 (n = 4,404) of the National Longitudinal Study of Adolescent Health, we examined the relationship between cumulative risk exposure and youth problem behavior. Cross-sectional analyses revealed a positive, linear association between cumulative risk and problem behaviors. The association between cumulative risk and externalizing problems was stronger for White youth than for Black youth. The association between cumulative risk and internalizing problems was stronger for girls than for boys, and stronger for White youth than for Black and Hispanic youth. Cumulative risk predicted change over time in internalizing problems. Findings support the theoretical notion that adolescents experience diminished psychological comfort when risk factors are present across several social domains.
Two prospective studies examined a theoretical model wherein exposure to victimization, resulting from early behavioral risk, heightens children's social alienation and subsequent deviant peer affiliation (DPA). Across Study 1 (298 girls, 287 boys; K-7th grade; 5-12 years) and Study 2 (338 girls, 298 boys; 2nd-6th grade; 8-12 years), children, parents, peers, and teachers reported on children's externalizing behavior and internalizing symptoms, peer victimization, social alienation, and DPA. Path analyses supported the proposed pathway: Peer victimization predicted social alienation, which then predicted DPA. Early externalizing behavior set this path in motion and made an independent contribution to DPA. This research identifies an important pathway through which externalizing behavior and consequent peer victimization launch children onto a risky social trajectory.
Making human beings human: Bioecological perspectives on human development: Edited by U. Bronfenbrenner Thousand Oaks, CA: Sage Publications. 2004. Pp. 336. Paperback, 74.95. ISBN 0761927115
This article discusses the development and validation of a measure of adolescent students' perceived belonging or psychological membership in the school environment. An initial set of items was administered to early adolescent students in one suburban middle school (N = 454) and two multi-ethnic urban junior high schools (N = 301). Items with low variability and items detracting from scale reliability were dropped, resulting in a final 18-item Psychological Sense of School Membership (PSSM) scale, which had good internal consistency reliability with both urban and suburban students and in both English and Spanish versions. Significant findings of several hypothesized subgroup differences in psychological school membership supported scale construct validity. The quality of psychological membership in school was found to be substantially correlated with self-reported school motivation, and to a lesser degree with grades and with teacher-rated effort in the cross-sectional scale development studies and in a subsequent longitudinal project. Implications for research and for educational practice, especially with at-risk students, are discussed.
How do children and adolescents “make it“ when their development is threatened by poverty, neglect, maltreatment, war, violence,
or exposure to oppression, racism, and discrimination? What protects them when their parents are disabled by substance abuse,
mental illness, or serious physical illness? How do we explain the phenomenon of resilience-children succeeding in spite of
serious challenges to their development-and put this knowledge to work for the benefit of all children and society? The scientific
study of resilience emerged about 30 years ago when a group of pioneering researchers began to notice the phenomenon of positive
adaptation among subgroups of children who were considered “at risk” for developing later psychopathology (Masten, 2001).
Self-determination theory (SDT) maintains that an understanding of human motivation requires a consideration of innate psychological needs for competence, autonomy, and relatedness. We discuss the SDT concept of needs as it relates to previous need theories, emphasizing that needs specify the necessary conditions for psychological growth, integrity, and well-being. This concept of needs leads to the hypotheses that different regulatory processes underlying goal pursuits are differentially associated with effective functioning and well-being and also that different goal contents have different relations to the quality of behavior and mental health, specifically because different regulatory processes and different goal contents are associated with differing degrees of need satisfaction. Social contexts and individual differences that support satisfaction of the basic needs facilitate natural growth processes including intrinsically motivated behavior and integration of extrinsic motivations, whereas those that forestall autonomy, competence, or relatedness are associated with poorer motivation, performance, and well-being. We also discuss the relation of the psychological needs to cultural values, evolutionary processes, and other contemporary motivation theories.
Continued research efforts aim to elucidate the heterogeneity in depression. The identification of meaningful and valid subtypes has implications for research and clinical practice. Based on patterns of depressive symptomatology, this study identified a typology of depressive syndromes using data from a large, nationally representative survey.
Analyses were based on a subsample of 12,180 respondents from the 2001-2002 Wave of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Latent class analysis was applied to the DSM-IV 'A' criteria for major depression to identify homogenous subtypes or classes of depressive syndromes. Associations between the emergent latent classes and demographic and clinical characteristics were assessed.
Three clinically relevant subtypes were identified, in addition to a class who reported few depressive symptoms: severely depressed (40.9%), psychosomatic (30.6%), cognitive-emotional (10.2%) and non-depressed (18.3%). The odds of experiencing negative life events, psychiatric disorders, and having a family background of major depression were significantly higher for the severely depressed, psychosomatic and cognitive-emotional classes, compared to the non-depressed class. Several unique differences between the latent classes also emerged.
Methodological shortcomings included: reliance on lay interviewer-administered structured interviews to determine diagnoses; basing sample selection on the endorsement of screener items; and, using measures of 'any anxiety disorder', 'any mood disorder', and 'any personality disorder' to determine psychiatric disorder prevalence rates.
Significant heterogeneity in depressive symptomatology exists in this U.S. sample. Profiling symptom patterns is potentially useful as a first step in developing tailored intervention and treatment programmes.
The overall goal of this study is to introduce latent class analysis (LCA) as an alternative approach to latent subgroup analysis. Traditionally, subgroup analysis aims to determine whether individuals respond differently to a treatment based on one or more measured characteristics. LCA provides a way to identify a small set of underlying subgroups characterized by multiple dimensions which could, in turn, be used to examine differential treatment effects. This approach can help to address methodological challenges that arise in subgroup analysis, including a high Type I error rate, low statistical power, and limitations in examining higher-order interactions. An empirical example draws on N = 1,900 adolescents from the National Longitudinal Survey of Adolescent Health. Six characteristics (household poverty, single-parent status, peer cigarette use, peer alcohol use, neighborhood unemployment, and neighborhood poverty) are used to identify five latent subgroups: Low Risk, Peer Risk, Economic Risk, Household & Peer Risk, and Multi-Contextual Risk. Two approaches for examining differential treatment effects are demonstrated using a simulated outcome: 1) a classify-analyze approach and, 2) a model-based approach based on a reparameterization of the LCA with covariates model. Such approaches can facilitate targeting future intervention resources to subgroups that promise to show the maximum treatment response.
This study identified profiles of 13 risk factors across child, family, school, and neighborhood domains in a diverse sample of children in kindergarten from four US locations (n = 750; 45% minority). It then examined the relation of those early risk profiles to externalizing problems, school failure, and low academic achievement in Grade 5. A person-centered approach, latent class analysis, revealed four unique risk profiles, which varied considerably across urban African American, urban White, and rural White children. Profiles characterized by several risks that cut across multiple domains conferred the highest risk for negative outcomes. Compared to a variable-centered approach, such as a cumulative risk index, these findings provide a more nuanced understanding of the early precursors to negative outcomes. For example, results suggested that urban children in single-parent homes that have few other risk factors (i.e., show at least average parenting warmth and consistency and report relatively low stress and high social support) are at quite low risk for externalizing problems, but at relatively high risk for poor grades and low academic achievement. These findings provide important information for refining and targeting preventive interventions to groups of children who share particular constellations of risk factors.
This study tested two hypotheses about gender-specific mental health effects of peer stressors during early adolescence: (1) boys and girls are sensitive to different types of peer stressors, and (2) peer stress is associated with different mental health problems in boys and girls.
These two hypotheses were tested in a prospective large population cohort of 2,084 Dutch young adolescents. Internalizing and externalizing problems were measured at baseline and follow-up, whereas stressful life events in the period between baseline and follow-up were measured retrospectively at follow-up. We performed the analyses with two types of peer stressors; victimization at school and relationship losses.
Relationship losses were more strongly associated with internalizing and externalizing problems in girls than boys, supporting the first hypothesis. Peer victimization at school was also associated with both types of mental health problems, but equally strong in boys and girls.
Peer stress is unlikely to be associated with different mental health problems in boys and girls. Instead, boys and girls are more likely to be susceptible to different types of peer stressors.
Although many studies of family constellations exist, only recently have investigators begun to examine the qualities of sibling relationships. The purpose of the present investigation was to develop a systematic framework for describing and assessing such relationship qualities. In the first study, upper elementary school children were interviewed about their perceptions of the qualities of their sibling relationships. These interviews yielded a list of 15 salient qualities. In the second study, a self-report questionnaire that assessed their perceptions of these qualities was administered to a sample of 198 fifth- and sixth-grade children. A principal components analysis yielded 4 underlying factors: (a) Warmth/Closeness, (b) Relative Status/Power, (c) Conflict, and (d) Rivalry. Relative Status/Power was found to be strongly related to the relative ages of the child and sibling. The other 3 factors were also related to various family constellation variables, but these relations were modest in size. Because family constellation variables and the qualities of sibling relationships are not isomorphic with one another, it is important to study relationship qualities directly, rather than simply examining family constellation variables. Some of the determinants of such qualities are discussed.
This account of the Matthew effect is another small exercise in the psychosociological analysis of the workings of science as a social institution. The initial problem is transformed by a shift in theoretical perspective. As originally identified, the Matthew effect was construed in terms of enhancement of the position of already eminent scientists who are given disproportionate credit in cases of collaboration or of independent multiple discoveries. Its significance was thus confined to its implications for the reward system of science. By shifting the angle of vision, we note other possible kinds of consequences, this time for the communication system of science. The Matthew effect may serve to heighten the visibility of contributions to science by scientists of acknowledged standing and to reduce the visibility of contributions by authors who are less well known. We examine the psychosocial conditions and mechanisms underlying this effect and find a correlation between the redundancy function of multiple discoveries and the focalizing function of eminent men of science-a function which is reinforced by the great value these men place upon finding basic problems and by their self-assurance. This self-assurance, which is partly inherent, partly the result of experiences and associations in creative scientific environments, and partly a result of later social validation of their position, encourages them to search out risky but important problems and to highlight the results of their inquiry. A macrosocial version of the Matthew principle is apparently involved in those processes of social selection that currently lead to the concentration of scientific resources and talent (50).