ArticlePDF Available

Exercising alone versus with others and associations with subjective health status in older Japanese: The JAGES Cohort Study

Springer Nature
Scientific Reports
Authors:
  • Teikyo University Graduate School of Public Health

Abstract and Figures

Although exercising with others may have extra health benefits compared to exercising alone, few studies have examined the differences. We sought to examine whether the association of regular exercise to subjective health status differs according to whether people exercise alone and/or with others, adjusting for frequency of exercise. The study was based on the Japan Gerontological Evaluation Study (JAGES) Cohort Study data. Participants were 21,684 subjects aged 65 or older. Multivariable logistic regression models were used to examine the association. The adjusted odds ratios (ORs) for poor self-rated health were significantly lower for people who exercised compared to non-exercisers. In analyses restricted to regular exercisers the ORs for poor health were 0.69 (95% confidence intervals: 0.60–0.79) for individuals exercising alone more often than with others, 0.74 (0.64–0.84) for people who were equally likely to exercise alone as with others, 0.57 (0.43–0.75) for individuals exercising with others more frequently than alone, and 0.79 (0.64–0.97) for individuals only exercising with others compared to individuals only exercising alone. Although exercising alone and exercising with others both seem to have health benefits, increased frequency of exercise with others has important health benefits regardless of the total frequency of exercise.
Content may be subject to copyright.
1
Scientific RepoRts | 6:39151 | DOI: 10.1038/srep39151
www.nature.com/scientificreports
Exercising alone versus with others
and associations with subjective
health status in older Japanese: The
JAGES Cohort Study
Satoru Kanamori1,2, Tomoko Takamiya1, Shigeru Inoue1, Yuko Kai3, Ichiro Kawachi4
& Katsunori Kondo5,6,7
Although exercising with others may have extra health benets compared to exercising alone, few
studies have examined the dierences. We sought to examine whether the association of regular
exercise to subjective health status diers according to whether people exercise alone and/or with
others, adjusting for frequency of exercise. The study was based on the Japan Gerontological Evaluation
Study (JAGES) Cohort Study data. Participants were 21,684 subjects aged 65 or older. Multivariable
logistic regression models were used to examine the association. The adjusted odds ratios (ORs) for
poor self-rated health were signicantly lower for people who exercised compared to non-exercisers.
In analyses restricted to regular exercisers the ORs for poor health were 0.69 (95% condence intervals:
0.60–0.79) for individuals exercising alone more often than with others, 0.74 (0.64–0.84) for people
who were equally likely to exercise alone as with others, 0.57 (0.43–0.75) for individuals exercising with
others more frequently than alone, and 0.79 (0.64–0.97) for individuals only exercising with others
compared to individuals only exercising alone. Although exercising alone and exercising with others
both seem to have health benets, increased frequency of exercise with others has important health
benets regardless of the total frequency of exercise.
Physical activity has been demonstrated to have various health benets1,2. e benets of physical activity apply
regardless of the context, i.e. whether it occurs as part of work, leisure, transport, or housework3. However, it
remains unclear whether exercise is more benecial for those exercising with others, compared to exercising
alone (e.g. on the basement treadmill).
is question has been previously discussed by distinguishing physical activity into exercising alone versus
with others4. e mechanisms for health benets from exercising with others may include not only physiological
eects through physical activity, but also psychological and social factors. A systematic review focusing on the
psychosocial benets of exercising with others revealed that working out with others may enhance social connect-
edness, social support, and peer bonding5. ese social relationships have been shown in turn to have potential
health benets6,7, and exercising with others may therefore have extra health benets compared to exercising
alone.
However, few studies have examined the dierences in health associations between exercising alone and exer-
cising with others. One study conducted on middle-aged Japanese adults showed that there was statistically no
dierence in the incidence of poor mental health ve years later between non-exercisers and those exercising
mostly alone, while the incidence was lower among those exercising mostly with exercising others, compared to
non-exercisers8. However, the study did not directly compare exercising alone and with others, and the analyses
1Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan. 2Human Resource
Management Department, ITOCHU Techno-Solutions Corporation, Tokyo, Japan. 3Physical Fitness Research
Institute, Meiji Yasuda Life Foundation of Health and Welfare, Tokyo, Japan. 4Department of Social and Behavioral
Sciences, Harvard School of Public Health, Boston, Massachusetts, USA. 5Center for Preventive Medical Sciences,
Chiba University, Chiba, Japan. 6Center for Well-being and Society, Nihon Fukushi University, Aichi, Japan.
7Department of Gerontology and Evaluation Study, Center for Gerontology and Social Science, National Center for
Geriatrics and Gerontology, Obu city, Aichi, Japan. Correspondence and requests for materials should be addressed
to T.T. (email: takamiya@tokyo-med.ac.jp)
Received: 17 May 2016
Accepted: 18 November 2016
Published: 15 December 2016
OPEN
www.nature.com/scientificreports/
2
Scientific RepoRts | 6:39151 | DOI: 10.1038/srep39151
did not adjust for dierences in the frequency of exercise. One cohort study examining older Japanese adults
showed a higher risk of incident functional disability (hazard ratio was 1.29 (95% condence intervals: 1.02–
1.64)) among those who did not participate in a sports organization compared to those who did, even though
both groups reported regular exercise9. A cross-sectional study in Australian adults showed that sports club par-
ticipants resulted in more positive benets for various aspects of quality of life than gymnasium participants
or walking participants10. ese studies suggest the possibility that exercising with others has additional health
eects over and above exercising alone. However, exercising alone and exercising with others were not directly
compared. We therefore sought to address this gap using cross-sectional data from a cohort of older Japanese
adults.
Self-rated health is one subjective indicator that reects overall health status. Self-rated health is commonly
used as a health outcome because of its established validity as a predictor of mortality, regardless of other medical,
behavioral, or psychosocial factors11. erefore, the aim of this study was to examine whether the association
of subjective health status to exercise diers according to exercising alone and/or with others, adjusting for fre-
quency of exercise. We hypothesized that there would be a lower prevalence of poor self-rated health among those
performing exercising with others compared to those only exercising alone, even aer adjusting for frequency
of exercise. Although the existing guideline on physical activity mentions intensity and duration3, it does not
mention whether exercise should be performed alone or with others. If exercising with others is shown to have
greater health benets than exercising alone, this would suggest the importance of including a social interaction
perspective in health promotion using physical activity.
Methods
Study sample. We used cross-sectional data from the baseline wave of the Japan Gerontological Evaluation
Study (JAGES), which is a population-based survey of community-dwelling seniors12. e JAGES sample includes
only those who did not already have functional disabilities at the baseline survey. ose without functional disa-
bilities were dened as those without eligibility for receiving long-term public care insurance benets. e cohort
was established in 2010 to examine prospectively the determinants of healthy aging in a sample of individuals
aged 65 years and older. Subjects were selected by random sampling in each municipality, using the residential
registry in each locality as the sampling frame. e present analysis was based on a sub-sample of the JAGES
cohort study as a national sample of 137,736 people in 30 municipalities across Japan (response rate: 71.1%).
Questionnaires were sent to 38,724 people and responses were received from 27,684 (response rate: 71.5%). We
excluded 6,000 respondents who did not respond to the questions on age, sex, self-rated health, frequency of exer-
cising alone and with others, or need of assistance in activities of daily living (ADL). e nal study population
consisted of 21,684 subjects. Subjects comprised 10,390 men (47.9%) and 11,294 women (52.1%), with a mean
age of 73.5 ± 6.0 years.
Measures. Subjective health status. Subjects were asked, “How is your current health status?” with possible
responses: excellent, good, fair, and poor. Dichotomisation of multinominal self-rated health is frequently used in
studies and has been validated13. Based on the previous study, subjects who responded with “fair,” or “poor,” were
combined to form our outcome variable. e test-retest reliability of self-rated health was shown to be good in a
variety of subgroups by age and sex14. In addition, the criterion-related validity of self-rated health was shown to
predict mortality in a review11, and similar results were also observed in older Japanese adults, regardless of age,
marital status, health behaviors, symptoms of depression, and chronic co-morbid conditions15.
Exercising alone and exercising with others. To dene exercising alone, respondents were asked, “How oen do
you exercise alone?” To dene exercising with others, respondents were asked, “How oen do you exercise with
a relative, friend, or acquaintance?” For each question, possible responses were: four or more times a week, two
or three times a week, once a week, one to three times a month, a few times a year, and none. Based on a previ-
ous study that examined the relationship between mortality and physical activity16, the frequency of exercising
alone and exercising with others was divided into six mutually exclusive categories: (1) non-exercisers, (2) people
who only exercised alone (Ea-only), (3) people who reported exercising more frequently alone than with others
(Ea > Ewo), (4) people who reported exercising alone or with others with equal frequency (Ea = Ewo), (5) people
who exercised with others more frequently than exercising alone (Ea < Ewo); and (6) people who only exercised
with others (Ewo-only) (Fig.1). Next, the total frequency of exercise (combinations of two variable categories)
Figure 1. Patterns of exercise. Ea-only: people who only exercised alone. Ea > Ewo: people who reported
exercising more frequently alone than with others. Ea = Ewo: people who reported exercising alone or with
others with equal frequency. Ea < Ewo: people who exercised with others more frequently than exercising alone.
Ewo-only: people who only exercised with others.
www.nature.com/scientificreports/
3
Scientific RepoRts | 6:39151 | DOI: 10.1038/srep39151
was calculated and divided into six categories (see SupplementaryFig.S1). e higher the category, the greater the
frequency of exercise. e categories were dichotomized into two groups: categories 1 to 3 reected individuals
who exercised less than twice a week, categories 4 and 5 exercised more than twice a week.
Covariates. Based on previous studies9,17, age, sex, annual equivalized income (less than 2 million yen per
year = “low”, 2–3.99 million yen per year = “middle”, 4 million yen or more per year = “high”), educational
attainment (less than 10 years, more than 10 years), household composition (living alone, with others), occu-
pational status (employed, not employed), self-reported medical conditions (no illness or disability, illness or
disability), instrumental activities of daily living (IADL) (instrumental self-maintenance18; 5 points = “high”,
0–4 points = “low”), depressive symptoms (Geriatric Depression Scale19; 0–4 points = no depression, 5–9
points = depressive tendency”, 10 points or more = depression”), and total frequency of exercise were included
as covariates in our regression models. Furthermore, as exercising with others may reect sociability; frequency
of meeting friends (two or more times a week, once a month to once a week, less than once a month), receiving
instrumental support, providing instrumental support, receiving emotional support, and providing emotional
support (yes, no) were also included as covariates.
Statistical analysis. To examine whether the association of subjective health status to exercise diers
according to exercising alone and/or with others, we performed multivariable logistic regression to calculate the
odds ratios (ORs) for poor self-rated health. All variables were set as dummy variables. A “missing” category was
used in analysis to account for missing values in response to questions.
e dependent variable was self-rated health and independent variables were the six groups characterized by
frequency of exercising alone and exercising with others. In Model 1, age, sex, annual equivalized income, educa-
tional attainment, household composition, occupational status, self-reported medical conditions, IADL, depres-
sion, frequency of meeting friends, receiving instrumental support, providing instrumental support, receiving
emotional support, and providing emotional support were added as covariates to the univariate model. In Model
2, total frequency of exercise was added to Model 1. In addition, to perform sensitivity analysis for examining
whether the associations dier by total frequency of exercise, we conducted further analysis by stratifying the
analyses into categories 4 and 5 (those who exercise at least twice a week) versus categories 1 to 3 (those who
exercised less than twice a week).
SPSS 21.0 J was used for statistical analysis with a 2-tailed signicance level set at 5%.
Ethics statement. Ethical approval for the study was obtained from the Nihon Fukushi University Ethics
Committee (application number: 10–04) and Chiba University Ethics Committee (application number: 1777).
is study was performed in accordance with the principles of the Declaration of Helsinki. Informed consent was
obtained from all participants.
Results
Table1 shows characteristics of individuals according to their patterns of exercise. ose who exercised with oth-
ers (Ea > Ewo, Ea = Ewo, Ea < Ewo and Ewo-only) tended to be younger, and this group had a higher proportion
of people with a high equivalized income, high educational attainment, living with others, high IADL score, no
depression, rich social relationships, and good self-rated health. Among exercisers (Ea-only, Ea > Ewo, Ea = Ewo,
Ea < Ewo and Ewo-only), there was a higher proportion of people who exercised less than twice a week among
individuals who only exercised with others (Ewo-only).
Table2 shows the adjusted ORs for poor self-rated health according to patterns of exercise. In Model 1 for all
participants, the ORs for poor health were signicantly lower for individuals who exercised (regardless of whether
alone or with others; (Ea-only, Ea > Ewo, Ea = Ewo, Ea < Ewo and Ewo-only)). In the next set of models, we
excluded non-exercisers in order to draw comparisons just among the dierent types of people who performed
regular exercise. In these analyses, individuals who exercised alone (Ea-only) became the reference group for
all comparisons. In Model 1, the ORs were 0.67 (95% condence intervals: 0.58–0.77) for people who exercised
alone more oen than with others (Ea > Ewo), 0.72 (0.63–0.82) among people who exercised equally frequently
alone or with others (Ea = Ewo), 0.58 (0.44–0.76) for individuals who exercised more oen with others compared
to alone (Ea < Ewo), and 0.86 (0.70–1.05) for individuals who only exercised with others (Ewo-only). e cat-
egory of individuals who exclusively exercised with others (Ea > Ewo, Ea = Ewo, Ea < Ewo and Ewo-only) was
statistically indistinguishable from people who exercised alone (Ea-only). e covariates in Model 1 plus total
frequency of exercise were included in Model 2; the corresponding ORs were 0.69 (0.60–0.79), 0.74 (0.64–0.84),
0.57 (0.43–0.75), 0.79 (0.64–0.97).
Stratied analysis was then performed by dichotomizing the sample according to frequency of exercise. In
Model 2, the ORs for individuals only exercising with others (Ewo-only) were similar results of the analysis per-
formed on all exercisers, even though these were not statistically signicant in either stratum.
Discussion
is study was the rst to examine whether the association of subjective health status to exercise diers according
to exercising alone and/or with others, adjusting for frequency of exercise. As expected, in the analysis of all par-
ticipants, the ORs for poor self-rated health were signicantly lower for all exercise groups (Ea-only, Ea > Ewo,
Ea = Ewo, Ea < Ewo and Ewo-only) compared to non-exercisers. In the analysis excluding non-exercisers, the
ORs for poor self-rated health were signicantly lower for people who exercised both alone and with others
(Ea > Ewo, Ea = Ewo and Ea < Ewo) and people who only exercised with others (Ewo-only) compared to people
who only exercised alone (Ea-only), aer adjusting for total frequency of exercise. Moreover, although the ORs
were not signicantly lower for people who only exercised with others (Ewo-only), similar results were found
www.nature.com/scientificreports/
4
Scientific RepoRts | 6:39151 | DOI: 10.1038/srep39151
Ea-only Ea > Ewo Ea = Ewo Ea < Ewo Ewo-only Non-exercisers
NMean ± SD 6,018 3,685 3,895 760 1,131 6,195
Age (years) 73.8 ± 6.1 72.6 ± 5.4 72.9 ± 5.4 72.3 ± 5.1 72.4 ± 5.5 74.5 ± 6.7
Sex (%) Males 48.8 53.4 46.9 44.1 36.5 47.1
Equivalized income (%)
Low 44.3 38.2 41.7 41.1 35.2 44.1
Middle 30.7 36.9 32.2 36.6 38.2 27.3
High 7.9 10.6 9.2 10.3 10.8 8.5
Missing 17.2 14.3 16.9 12.1 15.8 20.1
Educational attainment (%)
9 40.1 30.8 37.6 29.3 29.9 47.9
10 58.5 68.1 61.2 69.5 68.3 50.1
Missing 1.4 1.1 1.2 1.2 1.8 2.1
Household composition (%)
Living alone 16.8 12.0 11.1 11.2 11.4 13.6
With others 79.1 84.8 85.0 85.7 85.5 81.3
Missing 4.1 3.2 3.9 3.2 3.1 5.1
Occupational status (%)
Employed 22.2 20.8 22.2 17.4 22.9 26.1
Not employed 70.1 72.5 70.1 76.1 70.5 63.6
Missing 7.7 6.7 7.7 6.6 6.6 10.3
Self-reported medical condition (%)
No illness or disability 14.4 16.9 16.4 12.8 18.2 14.2
Illness or disability 81.3 78.3 77.8 80.5 75.2 80.4
Missing 4.3 4.8 5.8 6.7 6.6 5.4
IADL (%)
High 81.2 86.8 84.9 90.4 86.4 70.4
Low 16.6 11.8 13.1 7.6 11.9 26.4
Missing 2.2 1.4 2.1 2.0 1.7 3.2
Depression (%)
No depression 60.4 72.2 72.1 72.5 68.8 53.5
Depressive tendency 18.5 11.3 12.2 12.1 13.4 20.9
Depression 5.6 2.0 2.7 2.8 4.1 8.7
Missing 15.4 14.4 13.0 12.6 13.8 16.9
Frequency of meeting friends (%)
< 1/mo 31.9 16.1 16.3 13.8 16.9 35.6
1/mo-1/wk 35.4 38.7 29.4 29.7 33.6 31.6
2/wk 28.5 42.9 51.2 54.5 47.3 26.7
Missing 4.2 2.3 3.1 2.0 2.2 6.2
Receiving emotional support (%)
Ye s 91.3 95.7 95.7 97.1 95.8 89.3
No 6.8 2.7 2.9 1.8 2.9 7.9
Missing 1.9 1.6 1.4 1.1 1.3 2.8
Providing emotional support (%)
Ye s 89.3 94.7 94.2 95.9 94.3 85.1
No 7.6 3.0 3.5 2.1 3.7 10.6
Missing 3.0 2.4 2.2 2.0 1.9 4.2
Receiving instrumental support (%)
Ye s 91.7 95.6 96.1 97.0 95.5 91.8
No 6.3 2.6 2.5 1.8 3.3 5.7
Missing 2.0 1.8 1.4 1.2 1.2 2.4
Providing instrumental support (%)
Ye s 75.3 82.5 81.5 82.2 83.3 72.1
No 19.8 13.6 14.0 14.2 13.9 21.9
Missing 4.9 3.9 4.5 3.6 2.8 6.0
Frequency of exercising alone (%)
None 0.0 0.0 0.0 0.0 100.0 100.0
A few times/yr 7.8 0.0 13.4 24.3 0.0 0.0
1–3/mo 8.1 4.9 9.7 26.7 0.0 0.0
1/wk 11.4 9.4 12.3 29.6 0.0 0.0
2–3/wk 27.3 31.4 29.8 19.3 0.0 0.0
4wk 45.5 54.3 34.7 0.0 0.0 0.0
Frequency of exercising with others (%)
None 100.0 0.0 0.0 0.0 0.0 100.0
A few times/yr 0.0 30.9 13.4 0.0 20.4 0.0
1–3/mo 0.0 28.0 9.7 7.0 16.0 0.0
1/wk 0.0 26.2 12.3 14.5 18.5 0.0
2–3/wk 0.0 14.8 29.8 35.9 22.9 0.0
4wk 0.0 0.0 34.7 42.6 22.2 0.0
Continued
www.nature.com/scientificreports/
5
Scientific RepoRts | 6:39151 | DOI: 10.1038/srep39151
when stratied analysis was performed using the collapsed groups reecting frequency of exercise per week.
ese results imply that increased frequency of exercise with others has important health benets regardless of
the total frequency of exercise, although exercising alone and exercising with others both seem to have health
benets.
In a previous study on middle-aged adults, there was no dierence between those who did not perform exer-
cise or play sports (the reference category) and those who exercised mostly alone, whereas there was a signi-
cantly lower OR of poor mental health later on among those who exercised mostly with others8. Similarly, in a
study on older adults, even for those exercising once a week or more, the risk of incident functional disability was
signicantly lower among those who participated in a sports organization compared to those who did not9. e
results of these previous studies are consistent with the nding in the present study that the OR of poor self-rated
health was signicantly lower among those exercising with others than those only exercising alone.
In those who exercised with others, the ORs for poor self-rated health seem to be smaller for those exercis-
ing both alone and with others (Ea > Ewo, Ea = Ewo and Ea < Ewo) than those who only exercised with others
(Ewo-only). is could still be residual confounding by total MET-hours, even though we were only crudely able
to adjust frequency of exercise (i.e. those performing both may be likely to be spending more total time exercising
compared to those only exercising alone). In contrast, the above-mentioned study on the association with mental
health did not nd any dierences in the risk of poor mental health between those exercising both alone and with
others and those who did not exercise et al.8. Although it is true that the reference for comparison was not the
same, the trend observed was dierent from that of the present study. One reason for this dierence may be that
those exercising both alone and with others accounted for over half of those who exercised in the present study,
which includes representative samples, but accounted for only 3% in the previous study.
Social relationships may be one mechanism underlying the health benefits of exercising with others4,20.
Reviews have indicated that poor social relationships can increase mortality risk6,7, and similar results were also
observed in older Japanese adults21. In addition, social connectedness while exercising contributes to exercise
adherence22. Previous studies examining the mechanism underlying the relationship between exercising with
others and health revealed the possibility that social relationships may contribute to the association between
participation in a sports organization and incidence of functional disability9,17. In this research, we used a part of
general social relationships (frequency of meeting friends, receiving instrumental support, providing instrumen-
tal support, receiving emotional support, and providing emotional support) as covariates which could serve as
measures of sociability. As we could not use specic social relationships in exercising with others, future studies
are needed to use specic social relationships in exercising with others to examine whether these social relation-
ships mediate the association between exercising with others and health. Other possible mechanisms that may
have a positive association with exercising with others are: adherence to exercise routines23–25, self-esteem and
other psychological factors5, social capital26 and other social factors4. For example, those who exercise with others
may have continued to exercise for more years at the time of the survey than those who exercise alone. As we
could not determine the roles of those factors in the present study, further studies are needed.
e present study had some limitations. Firstly, while we considered the frequency of exercise, which is an
important point when investigating the association between exercise and health, we did not consider intensity
or duration3, or type of exercise27. e dierences between exercising alone and exercising with others may be
residually confounded by dierences in these factors. e second limitation is that the phrase “exercise with oth-
ers” did not dierentiate between exercise with only one other person and exercise with two or more other people
or in a group or organization. Associations with health may dier between the dierent forms of exercise with
others. e third is that we used combinations of two variable categories for “total frequency of exercise”, which
may have resulted in a slight lack of accuracy. e fourth is that there may be a confounding eect from demo-
graphic and psychosocial factors related to exercising with others28, which we did not examine. e h is that
the study was cross-sectional, and therefore cannot determine causal relationships. Further studies are therefore
also needed to consider these points.
Ea-only Ea > Ewo Ea = Ewo Ea < Ewo Ewo-only Non-exercisers
Total frequency of exercise (%)
Non-exercisers 0.0 0.0 0.0 0.0 0.0 100.0
Category 1 7.8 0.0 0.0 0.0 20.4 0.0
Category 2 8.1 4.9 13.4 7.0 16.0 0.0
Category 3 11.4 9.4 9.7 14.5 18.5 0.0
Category 4 27.3 31.4 12.3 35.9 22.9 0.0
Category 5 45.5 54.3 64.5 42.6 22.2 0.0
Self-rated health (%) Poor 18.1 10.0 11.0 8.9 12.6 24.7
Table 1. Characteristics of individuals according to patterns of exercise. Ea-only: people who only exercised
alone. Ea > Ewo: people who reported exercising more frequently alone than with others. Ea = Ewo: people
who reported exercising alone or with others with equal frequency. Ea < Ewo: people who exercised with others
more frequently than exercising alone. Ewo-only: people who only exercised with others. Total frequency of
exercise (categories 1 to 3): people who exercised less than twice a week. Total frequency of exercise (categories
4 and 5): people who exercised at least twice a week. Results are presented as mean ± SD for continuous
variables and percentage (%) for categorical variables.
www.nature.com/scientificreports/
6
Scientific RepoRts | 6:39151 | DOI: 10.1038/srep39151
Conclusion
Among older Japanese adults, although exercising alone and exercising with others both seem to have health ben-
ets, increased frequency of exercise with others has important health benets regardless of the total frequency of
exercise. A social interaction perspective may be useful to assist with promoting exercise benets for older adults.
References
1. Lee, I. M. et al. Eect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and
life expectancy. Lancet. 380, 219–29 (2012).
2. einer, M., Niermann, C., Jeauc, D. & Woll, A. Long term health benets of physical activity–a systematic review of longitudinal
studies. BMC Public Health. 13, 813 (2013).
3. Hasell, W. L. et al. Physical activity and public health: updated recommendation for adults from the American College of Sports
Medicine and the American Heart Association. Circulation. 116, 1081–93 (2007).
4. anamori, S., Taamiya, T. & Inoue, S. Group exercise for adults and elderly: Determinants of participation in group exercise and its
associations with health outcome. e Japanese Journal of Physical Fitness and Sports Medicine. 4, 315–20 (2015).
5. Eime, . M., Young, J. A., Harvey, J. T., Charity, M. J. & Payne, W. . A systematic review of the psychological and social benets of
participation in sport for adults: informing development of a conceptual model of health through sport. Int J Behav Nutr Phys Act.
10, 135 (2013).
6. Holt-Lunstad, J., Smith, T. B. & Layton, J. B. Social relationships and mortality ris: a meta-analytic review. PLoS Med. 7, e1000316
(2010).
7. Murayama, H., Fujiwara, Y. & awachi, I. Social capital and health: a review of prospective multilevel studies. J Epidemiol. 22,
179–87 (2012).
8. Taeda, F., Noguchi, H., Monma, T. & Tamiya, N. How Possibly Do leisure and social activities impact mental health of middle-aged
adults in Japan?: an evidence from a national longitudinal survey. PLoS ONE. 10, e0139777 (2015).
9. anamori, S. et al. Participation in sports organizations and the prevention of functional disability in older Japanese: the AGES
cohort study. PLoS One. 7, e51061 (2012).
10. Eime, ., Harvey, J. T., Brown, W. J. & Payne, W. Does sports club participation contribute to health-related quality of life. Med Sci
Sports Exerc. 42, 1022–28 (2010).
11. Idler, E. L. & Benyamini, Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 38,
21–37 (1997).
N
Crude Model 1 Model 2
OR 95%CI OR 95%CI OR 95%CI
All participants
Non-exercisers 6,195 ref ref
Ea-only 6,018 0.68 0.62–0.74 0.75 0.69–0.83
Ea > Ewo 3,685 0.34 0.30–0.38 0.50 0.43–0.57
Ea = Ewo 3,895 0.38 0.34–0.42 0.54 0.48–0.61
Ea < Ewo 760 0.30 0.23–0.39 0.43 0.33–0.56
Ewo-only 1,131 0.44 0.37–0.53 0.64 0.52–0.78
Exercisers-only: all participants excluding non-exercisers
Total frequency of exercise: Category 1–5 (all exercisers)
Ea-only 6,018 ref — Ref — ref
Ea > Ewo 3,685 0.50 0.44–0.57 0.67 0.58–0.77 0.69 0.60–0.79
Ea = Ewo 3,895 0.56 0.50–0.63 0.72 0.63–0.82 0.74 0.64–0.84
Ea < Ewo 760 0.45 0.34–0.58 0.58 0.44–0.76 0.57 0.43–0.75
Ewo-only 1,131 0.66 0.54–0.79 0.86 0.70–1.05 0.79 0.64–0.97
Total frequency of exercise: Category 4–5 (exercisers 2/wk)
Ea-only 4,381 ref — Ref — ref
Ea > Ewo 3,159 0.53 0.46–0.61 0.69 0.59–0.80 0.69 0.59–0.80
Ea = Ewo 2,995 0.57 0.50–0.65 0.73 0.62–0.85 0.76 0.65–0.90
Ea < Ewo 597 0.45 0.33–0.61 0.56 0.40–0.77 0.55 0.40–0.75
Ewo-only 510 0.60 0.45–0.80 0.80 0.58–1.09 0.78 0.57–1.06
Total frequency of exercise: Category 1–3 (exercisers <2/wk)
Ea-only 1,637 ref ref ref
Ea > Ewo 526 0.54 0.41–0.71 0.72 0.54–0.97 0.69 0.51–0.93
Ea = Ewo 900 0.55 0.44–0.69 0.69 0.54–0.88 0.65 0.51–0.84
Ea < Ewo 163 0.46 0.28–0.76 0.65 0.39–1.10 0.62 0.37–1.05
Ewo-only 621 0.59 0.46–0.76 0.77 0.59–1.02 0.79 0.60–1.04
Table 2. Odds ratios of poor self-rated health according to patterns of exercise. Ea-only: people who only
exercised alone. Ea > Ewo: people who reported exercising more frequently alone than with others. Ea = Ewo:
people who reported exercising alone or with others with equal frequency. Ea < Ewo: people who exercised with
others more frequently than exercising alone. Ewo-only: people who only exercised with others. Model 1 was
adjusted for sex, age, equivalized income, educational attainment, household composition, occupational status,
self-reported medical conditions, IADL, depression, and sociability. Model 2 was adjusted for the covariates in
Model 1 plus total frequency of exercise.
www.nature.com/scientificreports/
7
Scientific RepoRts | 6:39151 | DOI: 10.1038/srep39151
12. ondo, . Progress in aging epidemiology in Japan: the JAGES project. J Epidemiol. 26, 331–6 (2016).
13. Manor, O., Matthews S. & Power C. Dichotomous or categorical response? Analysing self-rated health and lifetime social class. Int J
Epidemiol. 29, 149–57 (2000).
14. Lundberg, O. & Manderbaca, . Assessing reliability of a measure of self-rated health. Scand J Soc Med. 24, 218–24 (1996).
15. Nishi, A. et al. Sex/gender and socioeconomic dierences in the predictive ability of self-rated health for mortality. PLoS ONE. 7,
e30179 (2012).
16. Shiroma, E. J., Sesso, H. D., Moorthy, M. V., Buring, J. E. & Lee, I. M. Do moderateintensity and vigorousintensity physical activities
reduce mortality rates to the same extent? J Am Heart Assoc. 3, e000802 (2014).
17. anamori, S. et al. Social Participation and the Prevention of Functional Disability in Older Japanese: e JAGES Cohort Study.
PLoS ONE. 9, e99638 (2014).
18. oyano, W., Shibata, H. & Naazato, . Prevalence of disability in instrumental activities of living among elderly Japanese. Japanese
Journal of Public Health. 34, 109–14 (1987).
19. Sheih, J. I. & Yes avage, J. A. Clinical Gerontology: A Guide to Ass essment and Intervention (ed. Sheih, J. I., & Yesavage, J. A.) 165–73
(e Haworth Press, 1986).
20. Street, G., James, . & Cutt, H. e relationship between organis ed physic al recreation and mental health. Health Promot J Austr. 18,
236–9 (2007).
21. Aida, J. et al. Assesing the association between all-cause mortality and multiple aspects of individual social capital among the older
Japanese. BMC Public Health. 11, 499 (2011).
22. Farrance, C., Tsoiou, F. & Clar, C. Adherence to community based group exercise interventions for older people: A mixed-
methods systematic review. Prev Med. 87, 155–166 (2016).
23. Bure, S. M., Carron, A. V., Eys, M. A., Ntoumanis, N. & Estabroos, P. A. Group versus individual approach? A meta-analysis of the
eectiveness of interventions to promote physical activity. Sport and Exercise Psychology eview. 2, 19–35 (2006).
24. Carron, A. V., Hausenblas, H. A. & Mac, D. Social inuence and exercise: a meta-analysis. J Sport Exerc Psychol. 18, 1–16 (1996).
25. Dishman, . . & Bucworth, J. Increasing physical activity: a quantitative synthesis. Med Sci Sports Exerc. 28, 706–19 (1996).
26. Andersen, L. L. et al. Eect of physical exercise on worplace social capital: cluster randomized controlled trial. Scand J Public
Health. 43, 810–8 (2015).
27. Oja, P. et al. Health benets of dierent sport disciplines for adults: systematic review of observational and intervention studies with
meta-analysis. Br J Sports Med. 49, 434–40 (2015).
28. Yamaita, M., anamori, S., ondo, N. & ondo, . Correlates of regular participation in sports groups among Japanese older
adults: JAGES cross-sectional study. PLoS ONE. 10, e0141638 (2015).
Acknowledgements
is study used data from the Japan Gerontological Evaluation Study (JAGES), which was supported by Health
Labour Sciences Research Grant (H28-Choju-Ippan-002, H26-Choju-Ippan-006, H25-Choju-Ippan-003, H25-
Kenki-Wakate-015, H25-Irryo-Shitei-003 (Fukkou), H24-Junkanki (Seisyu-Ippan-007)), JSPS (Japan Society for
the Promotion of Science) KAKENHI Grant Numbers (JP16H03249, JP15H01972, JP20319338, JP22390400,
JP23243070, JP23590786, JP23790710, JP24140701, JP24390469, JP24530698, JP24653150, JP24683018,
JP25253052, JP25282209, JP25870573, JP25870881, JP26882010), the Research Funding for Longevity Sciences
from National Center for Geriatrics and Gerontology (24–17, 24–23), Japan Foundation For Aging And Health
(J09KF00804), and Japan Agency for Medical Research and Development (AMED).
Author Contributions
Conceived and designed the experiments: S.K., T.T., S.I., Y.K. and K.K. Analyzed the data: S.K., T.T., S.I., Y.K., I.K.
and K.K. Wrote the paper: S.K., T.T., S.I., Y.K., I.K. and K.K. Acquisition of data: S.K., Y.K. and K.K.
Additional Information
Supplementary information accompanies this paper at http://www.nature.com/srep
Competing nancial interests: e authors declare no competing nancial interests.
How to cite this article: Kanamori, S. et al. Exercising alone versus with others and associations with subjective
health status in older Japanese: e JAGES Cohort Study. Sci. Rep. 6, 39151; doi: 10.1038/srep39151 (2016).
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and
institutional aliations.
is work is licensed under a Creative Commons Attribution 4.0 International License. e images
or other third party material in this article are included in the article’s Creative Commons license,
unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material. To view a copy of this
license, visit http://creativecommons.org/licenses/by/4.0/
© e Author(s) 2016

Supplementary resource (1)

... Exercising with others may have a stronger beneficial effect on health compared to exercising alone [16][17][18][19][20]. However, no study, to the best of our knowledge, has been done to investigate the association between exercise partners and constipation. ...
... However, no study, to the best of our knowledge, has been done to investigate the association between exercise partners and constipation. Having an exercise partner increases PA, and even after adjustment for PA, exercise with others still has a positive effect on health [17,18]. The underlying mechanism of the association between exercising with others and health is still unclear. ...
... Several studies showed the relationship between exercising with others and chronic diseases. Exercising with others was others was beneficial for depression [16], mental status [17], and subjective health status [18]. Additionally, exercising with others was significantly inversely associated with functional dyspepsia [19] and irritable bowel syndrome [20]. ...
Article
Full-text available
Background: Constipation is a very common medical issue among the general population worldwide. However, the association between exercise habits and constipation is still not fully understood. Additionally, no evidence regarding the association between exercise partners and constipation exists. This study aimed to evaluate this issue in a young Japanese population, taking the presence or absence of an exercise partner as an additional variable. Methods: The study subjects consisted of 12,497 Japanese university students. Information on constipation, exercise frequency, exercise intensity, and exercise partners was obtained through a self-administered questionnaire. Constipation was defined as present if a student answered “Yes” to the question, “Have you been constipated often recently?” Results: The prevalence of self-reported constipation was 6.5%. Frequency and intensity of exercise were independently inversely associated with constipation. After adjustment for age, body mass index, drinking, smoking, anemia, and sports injury, exercise with groups and friends was independently inversely associated with constipation (groups: adjusted odds ratio (OR) - 0.70 (95% confidence interval (CI): 0.53-0.90), friends: adjusted OR - 0.56 (95% CI: 0.42-0.74)). After further adjustment by adding intensity and frequency of exercise to confounding factors, only the association between exercise with friends and constipation was still significant (adjusted OR: 0.61 (95% CI: 0.39-0.96)). Conclusions: In this young Japanese population, the frequency and the intensity of exercise and the presence of exercise partners might be independently inversely associated with self-reported constipation. Exercising, especially exercising with others, may have a preventive effect on constipation, and opportunities to exercise with others should be provided.
... Taylor [39] stated that regular exercise is an essential element for promoting a healthy condition. Prior research noted that regular exercise is indispensable for a healthier life, because exercise lowers individuals' likelihood of illness [40][41][42], which could be applicable to elderly individuals. In addition, Zhang et al. [43] documented that physical exercise plays a significant role in the treatment of depression, and Callow et al. [44] claimed that physical activity is an important attribute for the better mental health of older adults. ...
... Moreover, Heo and Choi [3] researched elderly Korean individuals, and the findings implied that exercise plays an essential role in promoting subjective health conditions. Kanamori et al. [42] also revealed a positive relationship between subjective health and regular exercise by analyzing archival data using multivariable logistic regression. Moreover, Lim and Hyun [77] documented that regular exercise (e.g., Pilates and yoga) is a crucial attribute that promotes subjective health by analyzing data using regression analysis. ...
... That is, regular exercise improves health conditions and decreases the level of depression in the elderly Korean population. The findings of this study are aligned with the results of previous research in the case of Dutch [41] and Japanese [42] populations. Indeed, Palumbo et al. [87] reported that regular exercise is critical for the better health condition of individuals after conducting a systematic literature review. ...
Article
Full-text available
Aging is an imperative issue in Korean society, and a healthy life is important for a better quality of life for older adults. Therefore, the purpose of this research was to investigate the determinants of subjective health and depression in middle-aged and elderly Korean individuals. This study used three attributes as the determinants of subjective health and depression, including the curve linear effect of medical expenses and eating-out expenses and the linear impact of regular exercise. We utilized the Korean Longitudinal Study of Aging (KLOSA) to determine the associations between five attributes: subjective health, depression, medical expenses, eating-out expenses, and regular exercise. Research panel data were employed as the data source. The study period was between 2018 and 2020. This research implemented various multiple linear panel regression econometric analysis instruments: ordinary least squares, random effects, and fixed effects. The mean age of survey participants was 72.10 years, and 35 percent of participants were female. The number of observations for data analysis was 7197. The results revealed that medical and eating-out expenses had a curved linear effect on subjective health and depression. Moreover, regular exercise positively affected subjective health and resulted in less depression. These findings may inform policy decisions that promote regular exercise and manage medical and eating-out expenses, thereby enhancing subjective health and mitigating depression.
... Reports from Kayoinoba programs in other municipalities that mainly focused on exercise showed that after one year, walking speed, TUG, time for standing up five times from a chair, and hand grip strength all improved [35,40]. Our study also examined a program that primarily focused on exercise. ...
... Commuting to a Kayoinoba program encourages communication among participants and, therefore, may help prevent mental and emotional decline. It has been shown that participants experienced a greater subjective sense of well-being when exercising in groups rather than alone, which led to decreased levels of depressed mood [40,41]. Consequently, the Koshigaya City Kayoinoba program is thought to effectively improve physical function and holistically prevent frailty. ...
Article
Full-text available
Introduction: This study aimed to predict frailty in older adults participating in community-based gatherings in a local city over a six-month period. Methods: In total, 257 older community members participated in this study. The Kihon Checklist (KCL) was used to assess life function. The KCL consists of 25 items, each scored as 0 or 1 point, resulting in a total score ranging from 0 to 25. Higher scores indicate a greater risk of requiring long-term care. The items cover six domains: physical function, nutritional status, oral function, social engagement, cognitive function, and depressive mood. For motor function assessment, the Timed Up and Go (TUG), one-leg standing, and 30-second chair-stand (CS-30) tests were used. Results: Multiple regression analysis was used to investigate the effects of age, gender, and motor function on the KCL after six months. The regression formula was set as: KCL after six months (points) = first TUG (seconds) * 0.29 + first KCL (points) * 0.67 - 0.99. The model demonstrated moderate to strong predictive accuracy (adjusted R² = 0.53, root mean squared error (RMSE) = 1.74, mean absolute error (MAE) = 1.34). Conclusion: Our results showed that TUG could serve as an indicator for older adults participating in community-based gatherings in a local city, implementing our program, and improving the KCL.
... Group-based sports activities, in particular, offer greater psychological benefits compared to individual sports (Puciato et al., 2017). Tsuji et al. (2020) and Kanamori et al. (2016) found that individuals engaging in group activities reported better subjective health outcomes than those participating in individual sports. Nevertheless, despite the physical and functional benefits of land and water-based activities for older adults Reichert et al., 2018), few studies have specifically compared their effects on mental health and social integration. ...
... This finding is consistent with the work of Tsuji et al. (2020), who observed psychological improvements in individuals practicing group sports compared to those engaging in individual sports. Similarly, Kanamori et al. (2016) found that group sports were associated with better subjective health outcomes than individual sports. ...
... There is consensus on the positive effects of exercise on mental health [20]. Exercising once a week with a trainer or a group member may have positive effects on social functioning [21]. Furthermore, participation in a weekly program provides a "change of pace" and "communication," as shown in the Health Management Office Effectiveness Model [22], which may have resulted in a synergistic effect. ...
... Exercising in a group context can significantly improve one's ability to sustain physical activity and enhance overall quality of life, compared to exercising alone [87,88]. Group exercise classes have long been popular among gym-goers, even before the COVID-19 pandemic, and have adapted to virtual formats during and after the pandemic. ...
Chapter
Full-text available
Abstract This chapter examines the multifaceted impact of physical activity on health, emphasizing its role in psychosocial well-being. Psychosocial health is the dynamic interplay between mental, emotional, social, and environmental factors, underscoring the inseparable link between physical and mental wellness. Various forms of physical activity and psychosocial health are explored alongside recommended physical activity guidelines and key physiological mechanisms through which exercise improves mood, reduces anxiety, and enhances mental health. The chapter delves into movement as a therapeutic intervention, exploring the relationship between movement and mental health, forms of movement therapy, and barriers to physical activity. It also highlights the social benefits of group activities, such as fostering community, support networks, and belonging. Real-life case studies illustrate how movement therapy helps individuals overcome trauma, build confidence, and improve their quality of life. The chapter concludes with practical strategies for integrating physical activity into daily routines for holistic well-being. Keywords movement therapy, physical activity, psychosocial health, preventive medicine, mental well-being
... however, statistical significance was observed only in group-based virtual reality training. this finding of our study, in line with previous studies, may be because group-based games increase motivation, social interaction, and participation in exercise and provide a healthy competitive environment, similar to the effects of traditional group exercises [70,71]. ...
Article
Virtual reality training (VRT), a fun, inexpensive and accessible technology, has the potential to improve activities of daily living (ADL) and functional status in older adults. The potential impact of VRT can be increased through group-based training. The aim of this study was to investigate the effect of group- based VRT on ADL and functional outcomes in older adults over 65 years of age. Forty-three older adults included in the study were randomized into three groups (group- based VRT, individual VRT and control group). VRT was performed with Xbox 360 Kinect twice a week for 8 weeks. Each session lasted 45 min. Physical activity level, satisfaction level with physical activity, mood, mobility and balance performance, functional exercise capacity and ADL were evaluated. 36 people completed the study. A significant group × time interaction was found in Timed Up and Go test (TUG) (F [2, 57] = 8.60; η2= 0.004, P= <.001) and in Single Leg Stance Test (SLST)) (F [2, 57] = 5.69; η2= 8.509 × 10-4, P= <.007). After 8 weeks group- based VRT showed better scores in overall TUG (p < .001) and SLST (p= .015), whereas individual VRT and control group did not exhibit significant changes. Our results suggested that 8 weeks group- based VRT could improve mobility and balance performance in older adults.
Article
Full-text available
Objectives Frail older adults need to improve their health through exercise, and effective interventions are necessary to ensure their participation. Exercise with music has been shown to enhance adherence among older adults and improve both physical and mental health outcomes, making it a suitable intervention for frail older adults. This study evaluated the impact of exercise with music on the physical and emotional health of frail, community-dwelling older adults. Design A systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Data sources MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, Cochrane Library, PsycINFO, Google Scholar and the Virginia Henderson International Nursing Library were last searched on 14 March 2025. Eligibility criteria for selecting studies We included randomised controlled trials (RCTs) and non-RCTs that applied exercise with music to community-dwelling frail older adults. Data extraction and synthesis Five independent reviewers used standardised methods to search, screen and code included studies. Study quality was assessed using the revised Cochrane Risk of Bias 2 tool and the Risk of Bias in Non-Randomized Studies of Interventions tool. A meta-analysis and narrative synthesis were conducted, and the findings were summarised using Grading of Recommendation, Assessment, Development, and Evaluation evidence profiles. Publication bias was checked, and sensitivity analyses were used to assess the robustness of the results. Results After screening the initial 1425 studies, 17 studies (13 RCTs and 4 non-RCTs) were analysed. The overall risk of bias indicated that two had high risk and three had serious risk among the RCTs, and two had serious risk and two had moderate risk among the non-RCTs included in the meta-analysis. As for physical health outcomes, studies reported on frailty, Timed Up and Go (TUG), handgrip strength, falls, balance, gait speed, endurance and other performance. As for emotional health outcomes, studies reported on depression, social support and activities, quality of life or satisfaction and cognitive function. The pooled analysis suggested that exercise with music may have a positive effect on reducing frailty (standardised mean difference (SMD)=−0.20, 95% CI=−0.34 to −0.07, p=0.003, I ² =0%; very low certainty) and decreasing depression levels (SMD=−0.40, 95% CI=−0.65 to −0.15, p=0.002, I ² =0%; very low certainty) compared with control group outcomes in non-RCTs. However, there was no effect on the TUG and handgrip strength. A narrative synthesis of evidence suggested potential beneficial effects on frailty and depression. Conclusions Exercise with music may help improve frail older adults’ physical and emotional health and potentially reduce the burden of frailty. However, further rigorous investigation is needed, as the evidence has a very low level of certainty. Additionally, results from this review should be interpreted with caution because of concerns associated with the risk of bias. Community-based health professionals should consider using music when providing exercise interventions to frail older adults, while applying tailored approaches that consider their unique needs. PROSPERO registration number CRD42022369774.
Article
Full-text available
Purpose The purpose of this research is to examine the effect of eight weeks of family-oriented sports training on the mental vitality and happiness levels of families. Patients and Methods This research is classified as applied in terms of its purpose and utilizes a quasi-experimental design. We employed a pretest-posttest control group methodology to compare the effects of the intervention. Data were collected using standardized questionnaires, and analysis was conducted using covariance analysis (ANCOVA). The study included 110 participants, selected through convenience sampling. Results The test results showed that exercising with the family in Shanghai, China, has a significantly greater effect on improving happiness (5%) and mental vitality (11%) compared to exercising individually. Conclusion The findings of this research indicate that while both forms of exercise significantly enhance mental vitality and happiness, the difference between exercising with family members and exercising alone is not pronounced, possibly influenced by the prolonged conditions of the COVID-19 pandemic. Nonetheless, the positive effects of family-based exercise remain substantial. It is important to recognize that the extent of these differences and effects may vary across different countries. Social support and family cohesion are identified as crucial elements in these exercises, suggesting a valuable model for mental and physical health promotion programs at the community level.
Article
Full-text available
Aging is a prominent topic in global health. The purpose of this report is to document progress in two of our research projects in Japan, which currently is the most aged society in the world. The Japan Gerontological Evaluation Study (JAGES) is one of the largest nation-wide research projects on aging, with more than 100 000 participants in 2010 and 2013. One of the notable findings is that community participation is a significant determinant of older people’s health. We have also made progress in the development of the JAGES Health Equity Assessment and Response Tools (HEART), which is a management tool for developing age-friendly cities. This progress suggests that community perspective and management of health promotion in the communities are valuable and require further research.
Article
Full-text available
Background: Participation in a sports group is key for the prevention of incident functional disability. Little is known about the correlates of older adults' participation in sports groups, although this could assist with the development of effective health strategies. The purpose of this study was to identify the demographic and biological, psychosocial, behavioral, social and cultural, and environmental correlates of sports group participation among Japanese older adults. Methods: Data were obtained from the Japan Gerontological Evaluation study, which was a population-based cohort of people aged ≥65 years without disability enrolled from 31 municipalities across Japan (n = 78,002). Poisson regression analysis was used to determine the associations between the factors and participation in sports groups. Results: Non-regular participation in sports groups was associated with lower educational level, being employed, and working the longest in the agricultural/forestry/fishery industry among the demographic and biological factors and poor self-rated health and depression among the psychosocial factors. Of the behavioral factors, current smoking was negatively associated and current drinking was positively associated with regular participation in sports groups. Among the social and cultural factors, having emotional social support and participating in hobby clubs, senior citizen clubs, or volunteer groups were associated with a high prevalence of participation in sports groups. Perceptions of the presence of parks or sidewalks, good access to shops, and good accessibility to facilities were positively associated with participation in sports groups among the environmental factors. Conclusions: Our study suggests that the promotion of activities that could increase older adults' participation in sports groups should consider a broad range of demographic and biological, psychosocial, behavioral, social and cultural, and environmental factors. Although future longitudinal studies to elucidate the causal associations are needed, encouraging participation in community groups through social networks might be effective for participation in sports groups.
Article
Full-text available
Objectives: This study aimed to investigate longitudinal relations between leisure and social activities and mental health status, considering the presence or absence of other persons in the activity as an additional variable, among middle-aged adults in Japan. This study used nationally representative data in Japan with a five-year follow-up period. Methods: This study focused on 16,642 middle-aged adults, age 50-59 at baseline, from a population-based, six-year panel survey conducted by the Japanese Ministry of Health, Labour and Welfare. To investigate the relations between two leisure activities ('hobbies or cultural activities' and 'exercise or sports') and four social activities ('community events', 'support for children', 'support for elderly individuals' and 'other social activities') at baseline and mental health status at follow-up, multiple logistic regression analysis was used. We also used multiple logistic regression analysis to investigate the association between ways of participating in these activities ('by oneself', 'with others', or 'both' (both 'by oneself' and 'with others')) at baseline and mental health status at follow-up. Results: Involvement in both leisure activity categories, but not in social activities, was significantly and positively related to mental health status in both men and women. Furthermore, in men, both 'hobbies or cultural activities' and 'exercise or sports' were significantly related to mental health status only when conducted 'with others'. In women, the effects of 'hobbies or cultural activities' on mental health status were no differences regardless of the ways of participating, while the result of 'exercise or sports' was same as that in men. Conclusions: Leisure activities appear to benefit mental health status among this age group, whereas specific social activities do not. Moreover, participation in leisure activities would be effective especially if others are present. These findings should be useful for preventing the deterioration of mental health status in middle-aged adults in Japan.
Article
Full-text available
Physical activity may be carried out alone or in a group. No comprehensive studies have been conducted on the associations between group exercise and health outcomes, the mechanisms underlying the associations with health outcomes, and determinants of participation in group exercise. The aim of this article is to review the associations and mechanisms between group exercise and health outcomes, and the determinants of participation in group exercise among healthy adults and the elderly without specific illnesses. Group exercise may reduce the risk of physical and mental illness by improving adherence to physical activity, psychological factors, and social relationships. While there may potentially be various determinants of group exercise, previous research has only examined specific demographic and environmental factors. Among the studies discussed in this review, few studies examined the differences between individual exercise and group exercise. Thus, the unique effects and determinants of group exercise remain unclear. Further studies examining these points are needed to develop a more complete knowledge base on group exercise.
Article
Full-text available
In 1995 the American College of Sports Medicine and the Centers for Disease Control and Prevention published national guidelines on Physical Activity and Public Health. The Committee on Exercise and Cardiac Rehabilitation of the American Heart Association endorsed and supported these recommendations. The purpose of the present report is to update and clarify the 1995 recommendations on the types and amounts of physical activity needed by healthy adults to improve and maintain health. Development of this document was by an expert panel of scientists, including physicians, epidemiologists, exercise scientists, and public health specialists. This panel reviewed advances in pertinent physiologic, epidemiologic, and clinical scientific data, including primary research articles and reviews published since the original recommendation was issued in 1995. Issues considered by the panel included new scientific evidence relating physical activity to health, physical activity recommendations by various organizations in the interim, and communications issues. Key points related to updating the physical activity recommendation were outlined and writing groups were formed. A draft manuscript was prepared and circulated for review to the expert panel as well as to outside experts. Comments were integrated into the final recommendation. Primary recommendation: To promote and maintain health, all healthy adults aged 18 to 65 yr need moderate-intensity aerobic (endurance) physical activity for a minimum of 30 min on five days each week or vigorous-intensity aerobic physical activity for a minimum of 20 min on three days each week. [I (A)] Combinations of moderate- and vigorous-intensity activity can be performed to meet this recommendation. [IIa (B)] For example, a person can meet the recommendation by walking briskly for 30 min twice during the week and then jogging for 20 min on two other days. Moderate-intensity aerobic activity, which is generally equivalent to a brisk walk and noticeably accelerates the heart rate, can be accumulated toward the 30-min minimum by performing bouts each lasting 10 or more minutes. [I (B)] Vigorous-intensity activity is exemplified by jogging, and causes rapid breathing and a substantial increase in heart rate. In addition, every adult should perform activities that maintain or increase muscular strength and endurance a minimum of two days each week. [IIa (A)] Because of the dose-response relation between physical activity and health, persons who wish to further improve their personal fitness, reduce their risk for chronic diseases and disabilities or prevent unhealthy weight gain may benefit by exceeding the minimum recommended amounts of physical activity. [I (A)]
Article
Full-text available
Method: Searches were carried out in eight online scientific databases (January 1995-May 2014) to identify relevant primary studies. Studies were assessed for quality and data extracted. Results were synthesised thematically and narratively. Qualitative findings were compared against quantitative studies. Results: A total of 2958 studies were identified and screened against the inclusion / exclusion criteria. Ten studies met the inclusion criteria (five quantitative, three qualitative and two mixed-methods study designs). None were excluded on the basis of quality. Six key themes were identified from the qualitative studies as important for adherence to group exercise programmes: social connectedness, participant perceived benefits, programme design, empowering / energising effects, instructor and individual behaviour. The mean adherence rate of studies with comparable measures was (69.1% SD 14.6). When the views of participants from the qualitative synthesis were juxtaposed against the quantitative studies, programme design was a common feature across all studies. Conclusion: Evidence surrounding these programmes is limited both in terms of long-term adherence measures and the views of participants. However, based on limited findings there is some indication that community based group exercise programmes have long-term adherence rates of almost 70%. Incorporating the views of older people into programme designs may provide guidance for innovative interventions leading to sustained adherence.
Article
While workplace health promotion with group-based physical exercise can improve workers' physical health, less is known about potential carry-over effects to psychosocial factors. This study investigates the effect of physical exercise on social capital at work. Altogether, 200 female healthcare workers (nurses and nurse's aides) from 18 departments at three hospitals were randomly allocated at the department level to 10 weeks of (1) group-based physical exercise at work during working hours or (2) physical exercise at home during leisure time. At baseline and follow-up, participants replied to a questionnaire concerning workplace social capital: (1) within teams (bonding); (2) between teams (bridging); (3) between teams and nearest leaders (linking A); (4) between teams and distant leaders (linking B). At baseline, bonding, bridging, linking A and linking B social capital were 74 (SD 17), 61 (SD 19), 72 (SD 22) and 70 (SD 18), respectively, on a scale of 0-100 (where 100 is best). A group by time interaction was found for bonding social capital (P=0.02), where physical exercise at work compared with physical exercise during leisure time increased 5.3 (95% confidence interval 2.3- 8.2)(effect size, Cohen's d = 0.31) from baseline to follow-up. For physical exercise at home during leisure time and exercise at work combined, a time effect (P=0.001) was found for linking A social capital, with a decrease of 4.8 (95% confidence interval 1.9-7.6). Group-based physical exercise at work contributed to building social capital within teams at the workplace. However, the general decrease of social capital between teams and nearest leaders during the intervention period warrants further research. © 2015 the Nordic Societies of Public Health.
Article
Background Self-rated health is a commonly used measure of health status, usually having three to five categories. The measure is often collapsed into a dichotomous variable of good versus less than good health. This categorization has not yet been justified. Methods Using data from the 1958 British birth cohort, we examined the relationship between socioeconomic conditions, indicated by occupational class at four ages, and self-rated health. Results obtained for a dichotomous variable using logistic regression were compared with alternative methods for ordered categorical variables including polytomous regression, cumulative odds, continuation ratio and adjacent categories models. Results and Conclusions Findings concerning the relationship between socioeconomic position and self-rated health yielded by a logistic regression model were confirmed by alternative statistical methods which incorporate the ordered nature of self-rated health. Similarity of results was found regarding size and significance of main effects, type of association and interactive effects.
Article
The aim was to assess the quality and strength of evidence for the health benefits of specific sport disciplines. Electronic search yielded 2194 records and the selection resulted in 69 eligible studies (47 cross-sectional, 9 cohort, 13 intervention studies). 105 comparisons between participation and non-participation groups in 26 different sport disciplines were reported. Moderately strong evidence showed that both running and football improve aerobic fitness and cardiovascular function at rest, and football reduces adiposity. Conditional evidence showed that running benefits metabolic fitness, adiposity and postural balance, and football improves metabolic fitness, muscular performance, postural balance, and cardiac function. Evidence for health benefits of other sport disciplines was either inconclusive or tenuous. The evidence base for the health benefits of specific sports disciplines is generally compromised by weak study design and quality. Future research should address the health effects of diffe