Skip to main content

Advertisement

Log in

Why Is Social Isolation Among Older Adults Associated with Depressive Symptoms? The Mediating Role of Out-of-Home Physical Activity

  • Published:
International Journal of Behavioral Medicine Aims and scope Submit manuscript

Abstract

Background

Social networks are known to be a key factor associated with late-life depression. However, there is limited knowledge about the pathways linking social isolation to mental health. It has been proposed that health-related behaviors such as physical activity represent one pathway. This study examines the way out-of-home physical activity mediates between social isolation and depressive symptoms in older adults.

Methods

A subsample of 334 older adults from the ActiFE Ulm study, Germany, was randomly selected. Older adults (M = 72.6 years; 60.8% male) were interviewed at baseline and 3 years later. Depressive symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS). Social isolation was measured using the Lubben Social Network Scale (LSNS-6). Physical activity was measured by an accelerometer (activPAL) over 1 week. To identify out-of-home physical activity, a contemporary physical activity diary classified out-of-home physical activity.

Results

A cross-lagged structural equation model supported an indirect effect (β = .014, 95% CI .002 to .039) which means that being socially isolated was associated with lower levels of out-of-home physical activity, and this predicted more depressive symptoms after 3 years. However, no direct relationship was observed between social isolation from friends and neighbors at the baseline and depressive symptoms 3 years later.

Conclusions

Utilizing a longitudinal study design and accounting for reverse causality, this study extends prior work linking social isolation to depression by showing that a variety of neighbor and friendship ties are linked to fewer depressive symptoms by providing occasions for out-of-home physical activity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Reynold CF. Preventing depression in old age: it’s time. Am J Geriatr Psychiatry. 2008;16:433–4.

    Article  Google Scholar 

  2. Fiske A, Wetherell JL, Gatz M. Depression in older adults. Annu Rev Clin Psychol. 2009;5:363–89.

    Article  Google Scholar 

  3. Hong S-I, Hasche L, Bowland S. Structural relationships between social activities and longitudinal trajectories of depression among older adults. Gerontologist. 2009;49:1–11.

    Article  CAS  Google Scholar 

  4. Ku P-W, Steptoe A, Liao Y, Sun W-J, Chen L-J. Prospective relationship between objectively measured light physical activity and depressive symptoms in later life. Int J Geriatr Psychiatry. 2018;33:58–65.

    Article  Google Scholar 

  5. Liao Y, Shibata A, Ishii K, Oka K. Independent and combined associations of physical activity and sedentary behavior with depressive symptoms among Japanese adults. Int J Behav Med. 2016;23:402–9.

    Article  Google Scholar 

  6. Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: Durkheim in the new millennium. Soc Sci Med. 2000;51:843–57.

    Article  CAS  Google Scholar 

  7. Djernes JK. Prevalence and predictors of depression in populations of elderly: a review. Acta Psychiatr Scand. 2006;113:372–87.

    Article  CAS  Google Scholar 

  8. Chou K-L, Liang K, Sareen J. The association between social isolation and DSM-IV mood, anxiety, and substance use disorders: wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry. 2011;72:1468–76.

    Article  Google Scholar 

  9. Overbeek G, Vollebergh W, de Graaf R, Scholte R, de Kemp R, Engels R. Longitudinal associations of marital quality and marital dissolution with the incidence of DSM-III-R disorders. J Fam Psychol. 2006;20:284–91.

    Article  Google Scholar 

  10. Perez LG, Arredondo EM, McKenzie TL, Holguin M, Elder JP, Ayala GX. Neighborhood social cohesion and depressive symptoms among Latinos: does use of community resources for physical activity matter? J Phys Act Health. 2015;12:1361–8.

    Article  Google Scholar 

  11. Sonnenberg CM, Deeg DJH, van Tilburg TG, Vink D, Stek ML, Beekman ATF. Gender differences in the relation between depression and social support in later life. Int Psychogeriatr. 2013;25:61–70.

    Article  CAS  Google Scholar 

  12. Antonucci TC, Ajrouch KJ, Birditt KS. The convoy model: explaining social relations from a multidisciplinary perspective. Gerontologist. 2014;54:82–92.

    Article  Google Scholar 

  13. Litwin H. Social network type and morale in old age. Gerontologist. 2001;41:516–24.

    Article  CAS  Google Scholar 

  14. Litwin H. Social predictors of physical activity in later life: the contribution of social-network type. J Aging Phys Act. 2003;11:389–406.

    Article  Google Scholar 

  15. Shiovitz-Ezra S, Litwin H. Social network type and health-related behaviors: evidence from an American national survey. Soc Sci Med. 2012;75:901–4.

    Article  Google Scholar 

  16. Fiori KL, Antonucci TC, Cortina KS. Social network typologies and mental health among older adults. J Gerontol B Psychol Sci Soc Sci. 2006;61:P25–32.

    Article  Google Scholar 

  17. Litwin H. The association between social network relationships and depressive symptoms among older Americans: what matters most? Int Psychogeriatr. 2011;23:930–40.

    Article  Google Scholar 

  18. Rapp K, Mikolaizak S, Rothenbacher D, Denkinger MD, Klenk J. Prospective analysis of time out-of-home and objectively measured walking duration during a week in a large cohort of older adults. Eur Rev Aging Phys Act. 2018;15:8.

    Article  Google Scholar 

  19. Kerr J, Marshall S, Godbole S, Neukam S, Crist K, Wasilenko K, et al. The relationship between outdoor activity and health in older adults using GPS. Int J Environ Res Public Health. 2012;9:4615–25.

    Article  Google Scholar 

  20. Kerr J, Sallis JF, Saelens BE, Cain KL, Conway TL, Frank LD, et al. Outdoor physical activity and self rated health in older adults living in two regions of the US. Int J Behav Nutr Phys Act. 2012;9:89.

    Article  Google Scholar 

  21. Harada K, Lee S, Lee S, Bae S, Harada K, Suzuki T, et al. Objectively-measured outdoor time and physical and psychological function among older adults. Geriatr Gerontol Int. 2017;17:1455–62.

    Article  Google Scholar 

  22. Kono A, Kai I, Sakato C, Rubenstein LZ. Frequency of going outdoors: a predictor of functional and psychosocial change among ambulatory frail elders living at home. J Gerontol A Biol Sci Med Sci. 2004;59:275–80.

    Article  Google Scholar 

  23. Thompson Coon J, Boddy K, Stein K, Whear R, Barton J, Depledge MH. Does participating in physical activity in outdoor natural environments have a greater effect on physical and mental wellbeing than physical activity indoors? A systematic review. Environ Sci Technol. 2011;45:1761–72.

    Article  CAS  Google Scholar 

  24. Denkinger M, Franke S, Rapp K, Weinmayr G, Duran-Tauleria E, Nikolaus T, et al. Accelerometer-based physical activity in a large observational cohort - study protocol and design of the activity and function of the elderly in Ulm (ActiFE Ulm) study. BMC Geriatr. 2010;10:50.

    Article  Google Scholar 

  25. Ryan CG, Grant PM, Tigbe WW, Granat MH. The validity and reliability of a novel activity monitor as a measure of walking. Br J Sports Med. 2006;40:779–84.

    Article  CAS  Google Scholar 

  26. Lubben J, Blozik E, Gillmann G, Iliffe S, von Renteln Kruse W, Beck JC, et al. Performance of an abbreviated version of the Lubben Social Network Scale among three European community-dwelling older adult populations. Gerontologist. 2006;46:503–13.

    Article  Google Scholar 

  27. Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002;52:69–77.

    Article  Google Scholar 

  28. Groll DL, To T, Bombardier C, Wright JG. The development of a comorbidity index with physical function as the outcome. J Clin Epidemiol. 2005;58:595–602.

    Article  Google Scholar 

  29. Anderson TN, Kida TE. The cross-lagged research approach: description and illustration. J Account Res. 1982;20:403–14.

    Article  Google Scholar 

  30. Rucker DD, Preacher KJ, Tormala ZL, Petty RE. Mediation analysis in social psychology: current practices and new recommendations. Soc Personal Psychol Compass. 2011;5:359–71.

    Article  Google Scholar 

  31. Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput. 2004;36:717–31.

    Article  Google Scholar 

  32. Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc B Methodol. 1977;39:1–38.

    Google Scholar 

  33. Litwin H. Physical activity, social network type and depressive symptoms in late life: an analysis of data from the National Social Life, Health and Aging Project. Aging Ment Health. 2012;16:608–16.

    Article  Google Scholar 

  34. Wada K, Satoh T, Tanaka K, Tsunoda M, Aizawa Y. Associations of depressive symptoms with regular leisure activity and family social support among Japanese workers. Ind Health. 2007;45:181–5.

    Article  Google Scholar 

  35. Beyer KMM, Szabo A, Nattinger AB. Time spent outdoors, depressive symptoms, and variation by race and ethnicity. Am J Prev Med. 2016;51:281–90.

    Article  Google Scholar 

  36. Jacobs J, Cohen A, Hammerman-Rozenberg R, Azoulay D, Maaravi Y, Stessman J. Going outdoors daily predicts long-term functional and health benefits among ambulatory older people. J Aging Health. 2008;20:259–72.

    Article  Google Scholar 

  37. Herbolsheimer F, Mosler S, Peter R. Relationship between social isolation and indoor and outdoor physical activity in community-dwelling older adults in Germany: findings from the ActiFE Study. J Aging Phys Act. 2017;25:387–94.

    Article  Google Scholar 

  38. Orsega-Smith EM, Payne LL, Mowen AJ, Ho C-H, Godbey GC. The role of social support and self-efficacy in shaping the leisure time physical activity of older adults. J Leis Res. 2007;39:705–27.

    Article  Google Scholar 

  39. Suanet B, van Tilburg TG, van Groenou MIB. Nonkin in older adults’ personal networks: more important among later cohorts? J Gerontol B Psychol Sci Soc Sci. 2013;68:633–43.

    Article  Google Scholar 

  40. Li T, Zhang Y. Social network types and the health of older adults: exploring reciprocal associations. Soc Sci Med. 2015;130:59–68.

    Article  Google Scholar 

  41. Ku P-W, Fox KR, Chen L-J, Chou P. Physical activity and depressive symptoms in older adults: 11-year follow-up. Am J Prev Med. 2012;42:355–62.

    Article  Google Scholar 

  42. Cohen S, Janicki-Deverts D. Can we improve our physical health by altering our social networks? Perspect Psychol Sci. 2009;4:375–8.

    Article  Google Scholar 

  43. Barbato A, D’Avanzo B. Efficacy of couple therapy as a treatment for depression: a meta-analysis. Psychiatr Q. 2008;79:121–32.

    Article  Google Scholar 

  44. Pfeiffer PN, Heisler M, Piette JD, Rogers MAM, Valenstein M. Efficacy of peer support interventions for depression: a meta-analysis. Gen Hosp Psychiatry. 2011;33:29–36.

    Article  Google Scholar 

  45. Robins LM, Jansons P, Haines T. The impact of physical activity interventions on social isolation among community - dwelling older adults: a systematic review. J Nurs Health Sci. 2016;2:62–71.

    Google Scholar 

  46. Fiorillo D, Sabatini F. Quality and quantity: the role of social interactions in self-reported individual health. Soc Sci Med. 2011;73:1644–52.

    Article  Google Scholar 

  47. Holt-Lunstad J, Smith TB, Layton JB, Brayne C. Social relationships and mortality risk: a meta-analytic review. PLoS Med. 2010;7:e1000316.

    Article  Google Scholar 

  48. Tremblay MS, Carson V, Chaput J-P, Connor Gorber S, Dinh T, Duggan M, et al. Canadian 24-hour movement guidelines for children and youth: an integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. 2016;41:S311–27.

    Article  Google Scholar 

  49. Taber DR, Stevens J, Murray DM, Elder JP, Webber LS, Jobe JB, et al. The effect of a physical activity intervention on bias in self-reported activity. Ann Epidemiol. 2009;19:316–22.

    Article  Google Scholar 

  50. Herbolsheimer F, Riepe MW, Peter R. Cognitive function and the agreement between self-reported and accelerometer-accessed physical activity. BMC Geriatr. 2018;18:56.

    Article  Google Scholar 

Download references

Acknowledgements

The ActiFE Ulm study group consists of further members: T. Becker: Department of Psychiatry and Psychotherapy II, Ulm University—B. Böhm, Department of Internal Medicine I—Division of Endocrinology, University of Ulm Medical Center and LKC School of Medicine, Imperial College London and Nanyang Technological University, Singapore—K. Scharffetter-Kochanek: Department of Dermatology and Allergic Diseases, Ulm University—J. Stingl: Institute of Pharmacology of Natural Products & Clinical Pharmacology and BfARM (Federal Institute for Drugs and Medical Devices)—W. Koenig: Department of Internal Medicine II-Cardiology, University of Ulm Medical Center and German Heart Centre, Technical University Munich and DZHK (German Centre for Cardiovascular Research) Munich—M. Riepe, Division of Gerontopsychiatry, Department of Psychiatry and Psychotherapy II, Ulm University—R. Peter, Institute of the History, Philosophy and Ethics of Medicine, Ulm University—H. Geiger, Department of Molecular Medicine, Ulm University—A. Ludolph, C. v. Arnim, Department of Neurology, Ulm University—D. Rothenbacher, G. Nagel, G. Weinmayr: Institute of Epidemiology and Medical Biometry, Ulm University—J. Klenk: Institute of Epidemiology and Medical Biometry, Ulm University and Department of Geriatrics and Geriatric Rehabilitation, Robert-Bosch-Hospital Stuttgart—K. Rapp: Department of Geriatrics and Geriatric Rehabilitation, Robert-Bosch-Hospital Stuttgart—M. D. Denkinger, D. Dallmeier: Agaplesion Bethesda Clinic, Ulm—J. M. Steinacker, R. Laszlo: Division of Sports and Rehabilitation, Department of Internal Medicine II-Cardiology, Ulm University Medical Center.

Funding

This work was supported by a grant from the Ministry of Science, Research and Arts, state of Baden-Wuerttemberg, Germany, as part of the Geriatric Competence Center, Ulm University.

Author information

Authors and Affiliations

Authors

Contributions

Florian Herbolsheimer substantially contributed to acquisition of data, did the data analysis, and wrote the article.

Nadine Ungar contributed to analysis and interpretation of data, revised the article critically for important intellectual content, and revised the manuscript.

Richard Peter contributed to study conception and design, contributed to acquisition of data, revised the article critically for important intellectual content, and revised the manuscript.

Corresponding author

Correspondence to Florian Herbolsheimer.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study was approved by the ethics committee of Ulm University for the baseline (312/08) and the follow-up assessment (50/12).

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Electronic Supplementary Material

Electronic Supplementary Material 1

. Structural equation model with standardized parameter estimates and covariances between the different variables and confounders. Notes. *p < .05, **p < .01, ***p < .001; Age in years; Multimorbidity was assessed using the Functional Comorbidity Index; T0 = baseline (2009/2010); T1 = follow-up (2012/2013); Inter-measurement interval = 3.3 years; The ovals represent latent variables, and the rectangles depict manifest variables; dashed lines are statistically non-significant relationships; arrows represent hypothesized direction of effects Model fit indices: χ2 (364) = 727.1, CFI = .892, and TLI = .879, RMSEA = .054; Calculations are based on the imputed sample (N = 344) (PPTX 52 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Herbolsheimer, F., Ungar, N. & Peter, R. Why Is Social Isolation Among Older Adults Associated with Depressive Symptoms? The Mediating Role of Out-of-Home Physical Activity. Int.J. Behav. Med. 25, 649–657 (2018). https://doi.org/10.1007/s12529-018-9752-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12529-018-9752-x

Keywords

Navigation