Literature DB >> 27974855

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.   

Abstract

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.

Entities:  

Mesh:

Year:  2016        PMID: 27974855      PMCID: PMC5156899          DOI: 10.1038/srep39151

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Physical activity has been demonstrated to have various health benefits12. The benefits 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 beneficial for those exercising with others, compared to exercising alone (e.g. on the basement treadmill). This question has been previously discussed by distinguishing physical activity into exercising alone versus with others4. The mechanisms for health benefits from exercising with others may include not only physiological effects through physical activity, but also psychological and social factors. A systematic review focusing on the psychosocial benefits of exercising with others revealed that working out with others may enhance social connectedness, social support, and peer bonding5. These social relationships have been shown in turn to have potential health benefits67, and exercising with others may therefore have extra health benefits compared to exercising alone. However, few studies have examined the differences in health associations between exercising alone and exercising with others. One study conducted on middle-aged Japanese adults showed that there was statistically no difference in the incidence of poor mental health five 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 did not adjust for differences 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% confidence 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 participants resulted in more positive benefits for various aspects of quality of life than gymnasium participants or walking participants10. These studies suggest the possibility that exercising with others has additional health effects 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 reflects 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. Therefore, the aim of this study was to examine whether the association of subjective health status to exercise differs according to exercising alone and/or with others, adjusting for frequency 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 after 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 benefits 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. The JAGES sample includes only those who did not already have functional disabilities at the baseline survey. Those without functional disabilities were defined as those without eligibility for receiving long-term public care insurance benefits. The 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. The 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 exercising alone and with others, or need of assistance in activities of daily living (ADL). The final 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. The 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 define exercising alone, respondents were asked, “How often do you exercise alone?” To define exercising with others, respondents were asked, “How often 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 previous 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) was calculated and divided into six categories (see Supplementary Fig. S1). The higher the category, the greater the frequency of exercise. The categories were dichotomized into two groups: categories 1 to 3 reflected individuals who exercised less than twice a week, categories 4 and 5 exercised more than twice a week.
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.

Covariates

Based on previous studies917, 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), occupational 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 reflect 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 differs 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. The 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, educational attainment, household composition, occupational status, self-reported medical conditions, IADL, depression, 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 differ 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 significance 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). This 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. Those who exercised with others (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 1

Characteristics of individuals according to patterns of exercise.

  Ea-onlyEa > EwoEa = EwoEa < EwoEwo-onlyNon-exercisers
NMean ± SD6,0183,6853,8957601,1316,195
Age (years)73.8 ± 6.172.6 ± 5.472.9 ± 5.472.3 ± 5.172.4 ± 5.574.5 ± 6.7
Sex (%)Males48.853.446.944.136.547.1
Equivalized income (%)Low44.338.241.741.135.244.1
Middle30.736.932.236.638.227.3
High7.910.69.210.310.88.5
Missing17.214.316.912.115.820.1
Educational attainment (%)≤940.130.837.629.329.947.9
≥1058.568.161.269.568.350.1
Missing1.41.11.21.21.82.1
Household composition (%)Living alone16.812.011.111.211.413.6
With others79.184.885.085.785.581.3
Missing4.13.23.93.23.15.1
Occupational status (%)Employed22.220.822.217.422.926.1
Not employed70.172.570.176.170.563.6
Missing7.76.77.76.66.610.3
Self-reported medical condition (%)No illness or disability14.416.916.412.818.214.2
Illness or disability81.378.377.880.575.280.4
Missing4.34.85.86.76.65.4
IADL (%)High81.286.884.990.486.470.4
Low16.611.813.17.611.926.4
Missing2.21.42.12.01.73.2
Depression (%)No depression60.472.272.172.568.853.5
Depressive tendency18.511.312.212.113.420.9
Depression5.62.02.72.84.18.7
Missing15.414.413.012.613.816.9
Frequency of meeting friends (%)<1/mo31.916.116.313.816.935.6
1/mo-1/wk35.438.729.429.733.631.6
≥2/wk28.542.951.254.547.326.7
Missing4.22.33.12.02.26.2
Receiving emotional support (%)Yes91.395.795.797.195.889.3
No6.82.72.91.82.97.9
Missing1.91.61.41.11.32.8
Providing emotional support (%)Yes89.394.794.295.994.385.1
No7.63.03.52.13.710.6
Missing3.02.42.22.01.94.2
Receiving instrumental support (%)Yes91.795.696.197.095.591.8
No6.32.62.51.83.35.7
Missing2.01.81.41.21.22.4
Providing instrumental support (%)Yes75.382.581.582.283.372.1
No19.813.614.014.213.921.9
Missing4.93.94.53.62.86.0
Frequency of exercising alone (%)None0.00.00.00.0100.0100.0
A few times/yr7.80.013.424.30.00.0
1–3/mo8.14.99.726.70.00.0
1/wk11.49.412.329.60.00.0
2–3/wk27.331.429.819.30.00.0
≥4wk45.554.334.70.00.00.0
Frequency of exercising with others (%)None100.00.00.00.00.0100.0
A few times/yr0.030.913.40.020.40.0
1–3/mo0.028.09.77.016.00.0
1/wk0.026.212.314.518.50.0
2–3/wk0.014.829.835.922.90.0
≥4wk0.00.034.742.622.20.0
Total frequency of exercise (%)Non-exercisers0.00.00.00.00.0100.0
Category 17.80.00.00.020.40.0
Category 28.14.913.47.016.00.0
Category 311.49.49.714.518.50.0
Category 427.331.412.335.922.90.0
Category 545.554.364.542.622.20.0
Self-rated health (%)Poor18.110.011.08.912.624.7

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.

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 significantly 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 different 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% confidence intervals: 0.58–0.77) for people who exercised alone more often 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 often with others compared to alone (Ea < Ewo), and 0.86 (0.70–1.05) for individuals who only exercised with others (Ewo-only). The category 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). The 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).
Table 2

Odds ratios of poor self-rated health according to patterns of exercise.

 NCrude
Model 1
Model 2
OR95%CIOR95%CIOR95%CI
All participants
Non-exercisers6,195refref  
Ea-only6,0180.680.62–0.740.750.69–0.83  
Ea > Ewo3,6850.340.30–0.380.500.43–0.57  
Ea = Ewo3,8950.380.34–0.420.540.48–0.61  
Ea < Ewo7600.300.23–0.390.430.33–0.56  
Ewo-only1,1310.440.37–0.530.640.52–0.78  
Exercisers-only: all participants excluding non-exercisers
Total frequency of exercise: Category 1–5 (all exercisers)
Ea-only6,018refRefref
Ea > Ewo3,6850.500.44–0.570.670.58–0.770.690.60–0.79
Ea = Ewo3,8950.560.50–0.630.720.63–0.820.740.64–0.84
Ea < Ewo7600.450.34–0.580.580.44–0.760.570.43–0.75
Ewo-only1,1310.660.54–0.790.860.70–1.050.790.64–0.97
Total frequency of exercise: Category 4–5 (exercisers ≥2/wk)
Ea-only4,381refRefref
Ea > Ewo3,1590.530.46–0.610.690.59–0.800.690.59–0.80
Ea = Ewo2,9950.570.50–0.650.730.62–0.850.760.65–0.90
Ea < Ewo5970.450.33–0.610.560.40–0.770.550.40–0.75
Ewo-only5100.600.45–0.800.800.58–1.090.780.57–1.06
Total frequency of exercise: Category 1–3 (exercisers <2/wk)
Ea-only1,637refrefref
Ea > Ewo5260.540.41–0.710.720.54–0.970.690.51–0.93
Ea = Ewo9000.550.44–0.690.690.54–0.880.650.51–0.84
Ea < Ewo1630.460.28–0.760.650.39–1.100.620.37–1.05
Ewo-only6210.590.46–0.760.770.59–1.020.790.60–1.04

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.

Stratified 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 performed on all exercisers, even though these were not statistically significant in either stratum.

Discussion

This study was the first to examine whether the association of subjective health status to exercise differs according to exercising alone and/or with others, adjusting for frequency of exercise. As expected, in the analysis of all participants, the ORs for poor self-rated health were significantly 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 significantly 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), after adjusting for total frequency of exercise. Moreover, although the ORs were not significantly lower for people who only exercised with others (Ewo-only), similar results were found when stratified analysis was performed using the collapsed groups reflecting frequency of exercise per week. These results imply that increased frequency of exercise with others has important health benefits regardless of the total frequency of exercise, although exercising alone and exercising with others both seem to have health benefits. In a previous study on middle-aged adults, there was no difference between those who did not perform exercise or play sports (the reference category) and those who exercised mostly alone, whereas there was a significantly 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 significantly lower among those who participated in a sports organization compared to those who did not9. The results of these previous studies are consistent with the finding in the present study that the OR of poor self-rated health was significantly 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 exercising both alone and with others (Ea > Ewo, Ea = Ewo and Ea < Ewo) than those who only exercised with others (Ewo-only). This 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 find any differences 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 different from that of the present study. One reason for this difference 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 others420. Reviews have indicated that poor social relationships can increase mortality risk67, 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 disability917. In this research, we used a part of general social relationships (frequency of meeting friends, receiving instrumental support, providing instrumental support, receiving emotional support, and providing emotional support) as covariates which could serve as measures of sociability. As we could not use specific social relationships in exercising with others, future studies are needed to use specific social relationships in exercising with others to examine whether these social relationships 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 routines232425, 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. The 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. The differences between exercising alone and exercising with others may be residually confounded by differences in these factors. The second limitation is that the phrase “exercise with others” did not differentiate 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 differ between the different forms of exercise with others. The 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. The fourth is that there may be a confounding effect from demographic and psychosocial factors related to exercising with others28, which we did not examine. The fifth is that the study was cross-sectional, and therefore cannot determine causal relationships. Further studies are therefore also needed to consider these points.

Conclusion

Among older Japanese adults, 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. A social interaction perspective may be useful to assist with promoting exercise benefits for older adults.

Additional Information

How to cite this article: Kanamori, S. et al. Exercising alone versus with others and associations with subjective health status in older Japanese: The 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 affiliations.
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Authors:  Satoshi Seino; Akihiko Kitamura; Yui Tomine; Izumi Tanaka; Mariko Nishi; Y U Taniguchi; Yuri Yokoyama; Hidenori Amano; Yoshinori Fujiwara; Shoji Shinkai
Journal:  Med Sci Sports Exerc       Date:  2019-06       Impact factor: 5.411

8.  Long-term participation in community group exercise improves lower extremity muscle strength and delays age-related declines in walking speed and physical function in older adults.

Authors:  Chisato Hayashi; Soshiro Ogata; Tadashi Okano; Hiromitsu Toyoda; Sonoe Mashino
Journal:  Eur Rev Aging Phys Act       Date:  2021-05-28       Impact factor: 3.878

9.  Effects of self-management education programmes on self-efficacy for osteoarthritis of the knee: a systematic review of randomised controlled trials.

Authors:  Daisuke Uritani; Hitoshi Koda; Sho Sugita
Journal:  BMC Musculoskelet Disord       Date:  2021-06-05       Impact factor: 2.362

10.  Frequency and pattern of exercise and depression after two years in older Japanese adults: the JAGES longitudinal study.

Authors:  Satoru Kanamori; Tomoko Takamiya; Shigeru Inoue; Yuko Kai; Taishi Tsuji; Katsunori Kondo
Journal:  Sci Rep       Date:  2018-07-25       Impact factor: 4.379

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