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Journal of Behavioral Medicine

, Volume 42, Issue 2, pp 315–329 | Cite as

Daily and longitudinal associations of out-of-home time with objectively measured physical activity and sedentary behavior among middle-aged and older adults

  • Kazuhiro HaradaEmail author
  • Kouhei Masumoto
  • Narihiko Kondo
Article

Abstract

This study examined the associations of time spent out of home with physical activity and sedentary behavior among middle-aged and older adults. A diary survey was conducted for 7 days with 157 adults to measure out-of-home time and working status. Time spent in sedentary behavior and levels of physical activity were measured using an accelerometer. After a year, 137 individuals from the original sample participated in a follow-up survey. From the daily analyses of 535 non-working days and 347 working days, multilevel models revealed that on non-working days, more out-of-home time was associated with less sedentary time and higher levels of physical activity at both within- and between-person levels. Longitudinal analyses of non-working days supported these results. However, on working days, similar associations were not revealed by daily or longitudinal analyses. These results suggest that increasing out-of-home time could contribute to increased physical activity and reduced sedentary behavior on non-working days.

Keywords

Exercise Health behavior Healthy aging Homebound persons Sedentary lifestyle 

Notes

Funding

This work was supported by the Program for Promoting the Reform of National Universities (Kobe University), Ministry of Education, Culture, Sports, Science, and Technology; and Grant-in-Aid for Scientific Research (17H04757), Japan Society for the Promotion of Science.

Compliance with ethical standards

Conflict of interest

Kazuhiro Harada, Kouhei Masumoto, Narihiko Kondo declare that they have no conflicts of interest.

Human and animal rights and Informed consent

All procedures followed were in accordance with ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000. Informed consent was obtained from all individual participants included in the study.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

References

  1. Ainsworth, B. E., Haskell, W. L., Herrmann, S. D., Meckes, N., Bassett, D. R., Tudor-Locke, C., et al. (2011). 2011 Compendium of physical activities: A second update of codes and MET values. Medicine and Science in Sports and Exercise, 43, 1575–1581.  https://doi.org/10.1249/MSS.0b013e31821ece12 CrossRefGoogle Scholar
  2. Amagasa, S., Fukushima, N., Kikuchi, H., Takamiya, T., Odagiri, Y., Oka, K., et al. (2018). Drivers are more physically active than non-drivers in older adults. International Journal of Environmental Research and Public Health, 15, 1094.  https://doi.org/10.3390/ijerph15061094 CrossRefGoogle Scholar
  3. Arai, H., & Satake, S. (2015). English translation of the Kihon Checklist. Geriatrics & Gerontology International, 15, 518–519.  https://doi.org/10.1111/ggi.12397 CrossRefGoogle Scholar
  4. Australia’s Department of Health. (2014). Australia’s Physical Activity and Sedentary Behaviour Guidelines for adults. http://www.health.gov.au/internet/main/publishing.nsf/Content/health-pubhlth-strateg-phys-act-guidelines#apaadult. Accessed June 13, 2018
  5. Beyer, K. M. M., Szabo, A., Hoormann, K., & Stolley, M. (2018). Time spent outdoors, activity levels, and chronic disease among American adults. Journal of Behavioral Medicine, 41, 494–503.  https://doi.org/10.1007/s10865-018-9911-1 CrossRefGoogle Scholar
  6. Biswas, A., Oh, P. I., Faulkner, G. E., Bajaj, R. R., Silver, M. A., Mitchell, M. S., et al. (2015). Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults. Annals of Internal Medicine, 162, 123–132.  https://doi.org/10.7326/M14-1651 CrossRefGoogle Scholar
  7. Chastin, S. F. M., Buck, C., Freiberger, E., Murphy, M., Brug, J., Cardon, G., et al. (2015). Systematic literature review of determinants of sedentary behaviour in older adults: A DEDIPAC study. The International Journal of Behavioral Nutrition and Physical Activity, 12, 127.  https://doi.org/10.1186/s12966-015-0292-3 CrossRefGoogle Scholar
  8. Clemes, S. A., O’Connell, S. E., & Edwardson, C. L. (2014). Office workers’ objectively measured sedentary behavior and physical activity during and outside working hours. Journal of Occupational and Environmental Medicine, 56, 298–303.  https://doi.org/10.1097/JOM.0000000000000101 CrossRefGoogle Scholar
  9. Condello, G., Puggina, A., Aleksovska, K., Buck, C., Burns, C., Cardon, G., et al. (2017). Behavioral determinants of physical activity across the life course: A “DEterminants of DIet and Physical ACtivity” (DEDIPAC) umbrella systematic literature review. International Journal of Behavioral Nutrition and Physical Activity, 14, 58.  https://doi.org/10.1186/s12966-017-0510-2 CrossRefGoogle Scholar
  10. Conroy, D. E., Maher, J. P., Elavsky, S., Hyde, A. L., & Doerksen, S. E. (2013). Sedentary behavior as a daily process regulated by habits and intentions. Health Psychology, 32, 1149–1157.  https://doi.org/10.1037/a0031629 CrossRefGoogle Scholar
  11. Davis, M. G., Fox, K. R., Hillsdon, M., Sharp, D. J., Coulson, J. C., & Thompson, J. L. (2011). Objectively measured physical activity in a diverse sample of older urban UK adults. Medicine and Science in Sports and Exercise, 43, 647–654.  https://doi.org/10.1249/MSS.0b013e3181f36196 CrossRefGoogle Scholar
  12. Department of Health, Physical Activity, Health Improvement and Protection. (2011). Start Active, Stay Active: A report on physical activity for health from the four home countries’ Chief Medical Officers. https://www.sportengland.org/media/2928/dh_128210.pdf Accessed June 13, 2018
  13. Evenson, K. R., Wen, F., Metzger, J. S., & Herring, A. H. (2015). Physical activity and sedentary behavior patterns using accelerometry from a national sample of United States adults. International Journal of Behavioral Nutrition and Physical Activity, 12, 20.  https://doi.org/10.1186/s12966-015-0183-7 CrossRefGoogle Scholar
  14. Fujita, K., Fujiwara, Y., Chaves, P. H. M., Motohashi, Y., & Shinkai, S. (2006). Frequency of going outdoors as a good predictors for incident disability of physical function as well as disability recovery in community-dwelling older adults in rural Japan. Journal of Epidemiology, 16, 261–270.  https://doi.org/10.2188/jea.16.261 CrossRefGoogle Scholar
  15. Gando, Y., Yamamoto, K., Murakami, H., Ohmori, Y., Kawakami, R., Sanada, K., et al. (2010). Longer time spent in light physical activity is associated with reduced arterial stiffness in older adults. Hypertension, 56, 540–546.  https://doi.org/10.1161/HYPERTENSIONAHA.110.156331 CrossRefGoogle Scholar
  16. Gorman, E., Hanson, H. M., Yang, P. H., Khan, K. M., Liu-Ambrose, T., & Ashe, M. C. (2014). Accelerometry analysis of physical activity and sedentary behavior in older adults: A systematic review and data analysis. European Review of Aging and Physical Activity, 11, 35–49.  https://doi.org/10.1007/s11556-013-0132-x CrossRefGoogle Scholar
  17. Gray, C., Gibbons, R., Larouche, R., Sandseter, E. B. H., Bienenstock, A., Brussoni, M., et al. (2015). What is the relationship between outdoor time and physical activity, sedentary behaviour, and physical fitness in children? A systematic review. International Journal of Environmental Research and Public Health, 12, 6455–6474.  https://doi.org/10.3390/ijerph120606455 CrossRefGoogle Scholar
  18. Harada, K., Lee, S., Lee, S., Bae, S., Harada, K., Suzuki, T., et al. (2017). Objectively-measured outdoor time and physical and psychological function among older adults. Geriatrics & Gerontology International, 17, 1455–1462.  https://doi.org/10.1111/ggi.12895 CrossRefGoogle Scholar
  19. Harada, K., Masumoto, K., & Kondo, N. (in press). Spousal concordance for objectively measured sedentary behavior and physical activity among middle-aged and older couples. Research Quarterly for Exercise and Sport https://doi.org/10.1080/02701367.2018.1510171
  20. Harvey, J. A., Chastin, S. F. M., & Skelton, D. A. (2015). How sedentary are older people? A systematic review of the amount of sedentary behavior. Journal of Aging and Physical Activity, 23, 471–487.  https://doi.org/10.1123/japa.2014-0164 CrossRefGoogle Scholar
  21. Haskell, W. L., Lee, I. M., Pate, R. R., Powell, K. E., Blair, S. N., Franklin, B. A., et al. (2007). Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Medicine and Science in Sports and Exercise, 39, 1423–1434.  https://doi.org/10.1249/mss.0b013e3180616b27 CrossRefGoogle Scholar
  22. Inoue, S., Ohya, Y., Odagiri, Y., Takamiya, T., Kamada, M., Okada, S., et al. (2010). Characteristics of accelerometry respondents to a mail-based surveillance study. Journal of Epidemiology, 20, 446–452.  https://doi.org/10.2188/jea.JE20100062 CrossRefGoogle Scholar
  23. Inoue, S., Ohya, Y., Tudor-Locke, C., Tanaka, S., Yoshiike, N., & Shimomitsu, T. (2011). Time trends for step-determined physical activity among Japanese adults. Medicine and Science in Sports and Exercise, 43, 1913–1919.  https://doi.org/10.1249/MSS.0b013e31821a5225 CrossRefGoogle Scholar
  24. Japanese Ministry of Health, Labour and Welfare. (2009). [Revised Manual for life function assessment for prevention of long-term care]. http://www.mhlw.go.jp/topics/2009/05/dl/tp0501-1c.pdf Accessed June 13, 2018. (in Japanese)
  25. Kono, A., Kai, I., Sakato, C., & Rubenstein, L. Z. (2004). Frequency of going outdoors: A predictor of functional and psychosocial change among ambulatory frail elders living at home. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 59, 275–280.  https://doi.org/10.1093/gerona/59.3.M275 CrossRefGoogle Scholar
  26. Ku, P. W., Steptoe, A., Liao, Y., Sun, W. J., & Chen, L. J. (2018). Prospective relationship between objectively measured light physical activity and depressive symptoms in later life. International Journal of Geriatric Psychiatry, 33, 58–65.  https://doi.org/10.1002/gps.4672 CrossRefGoogle Scholar
  27. Kurita, S., Yano, S., Ishii, K., Shibata, A., Sasai, H., Nakata, Y., et al. (2017). Comparability of activity monitors used in Asian and Western-country studies for assessing free-living sedentary behaviour. PLoS ONE, 12, e0186523.  https://doi.org/10.1371/journal.pone.0186523 CrossRefGoogle Scholar
  28. Kyu, H. H., Bachman, V. F., Alexander, L. T., Mumford, J. E., Afshin, A., Estep, K., et al. (2016). Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: Systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013. BMJ (Clinical Research Ed.), 354, i3857.  https://doi.org/10.1136/bmj.i3857 Google Scholar
  29. Locascio, J. J., & Atri, A. (2011). An overview of longitudinal data analysis methods for neurological research. Dementia and Geriatric Cognitive Disorders Extra, 1, 330–357.  https://doi.org/10.1159/000330228 CrossRefGoogle Scholar
  30. Maher, J. P., & Conroy, D. E. (2017). Daily life satisfaction in older adults as a function of (in)activity. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 72, 593–602.  https://doi.org/10.1093/geronb/gbv086 Google Scholar
  31. Murakami, H., Kawakami, R., Nakae, S., Nakata, Y., Ishikawa-Takata, K., Tanaka, S., et al. (2016). Accuracy of wearable devices for estimating total energy expenditure: Comparison with metabolic chamber and doubly labeled water method. JAMA Internal Medicine, 176, 702–703.  https://doi.org/10.1001/jamainternmed.2016.0152 CrossRefGoogle Scholar
  32. Ohkawara, K., Oshima, Y., Hikihara, Y., Ishikawa-Takata, K., Tabata, I., & Tanaka, S. (2011). Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm. The British Journal of Nutrition, 105, 1681–1691.  https://doi.org/10.1017/S0007114510005441 CrossRefGoogle Scholar
  33. Osuka, Y., Yabushita, N., Kim, M., Seino, S., Nemoto, M., Jung, S., et al. (2015). Association between habitual light-intensity physical activity and lower-extremity performance: A cross-sectional study of community-dwelling older Japanese adults. Geriatrics and Gerontology International, 15, 268–275.  https://doi.org/10.1111/ggi.12268 CrossRefGoogle Scholar
  34. Pate, R. R., O’Neill, J. R., & Lobelo, F. (2008). The evolving definition of “sedentary”. Exercise and Sport Sciences Reviews, 36, 173–178.  https://doi.org/10.1097/JES.0b013e3181877d1a CrossRefGoogle Scholar
  35. Sallis, J. F., Cervero, R. B., Ascher, W., Henderson, K. A., Kraft, M. K., & Kerr, J. (2006). An ecological approach to creating active living communities. Annual Review of Public Health, 27, 297–322.  https://doi.org/10.1146/annurev.publhealth.27.021405.102100 CrossRefGoogle Scholar
  36. Satake, S., Senda, K., Hong, Y.-J., Miura, H., Endo, H., Sakurai, T., et al. (2016). Validity of the Kihon Checklist for assessing frailty status. Geriatrics & Gerontology International, 16, 709–715.  https://doi.org/10.1111/ggi.12543 CrossRefGoogle Scholar
  37. Statistics Bureau, Japanese Ministry of Internal Affairs and Communications. (2012). Survey on Time Use and Leisure Activities. 2012 http://www.stat.go.jp/english/data/shakai/2011/h23kekka.htm Accessed June 13, 2016
  38. Tremblay, M. S., Aubert, S., Barnes, J. D., Saunders, T. J., Carson, V., Latimer-Cheung, A. E., et al. (2017). Sedentary Behavior Research Network (SBRN): Terminology Consensus Project process and outcome. International Journal of Behavioral Nutrition and Physical Activity, 14, 1–17.  https://doi.org/10.1186/s12966-017-0525-8 CrossRefGoogle Scholar
  39. Tsai, L. T., Portegijs, E., Rantakokko, M., Viljanen, A., Saajanaho, M., Eronen, J., et al. (2015). The association between objectively measured physical activity and life-space mobility among older people. Scandinavian Journal of Medicine and Science in Sports, 25, e368–e373.  https://doi.org/10.1111/sms.12337 CrossRefGoogle Scholar
  40. Tsai, L. T., Rantakokko, M., Rantanen, T., Viljanen, A., Kauppinen, M., & Portegijs, E. (2016a). Objectively measured physical activity and changes in life-space mobility among older people. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 71, 1466–1471.  https://doi.org/10.1093/gerona/glw042 CrossRefGoogle Scholar
  41. Tsai, L. T., Rantakokko, M., Viljanen, A., Saajanaho, M., Eronen, J., Rantanen, T., et al. (2016b). Associations between reasons to go outdoors and objectively-measured walking activity in various life-space areas among older people. Journal of Aging and Physical Activity, 24, 85–91.  https://doi.org/10.1123/japa.2014-0292 CrossRefGoogle Scholar
  42. Tudor-Locke, C., Craig, C. L., Brown, W. J., Clemes, S. A., De Cocker, K., Giles-Corti, B., et al. (2011). How many steps/day are enough? For adults. The International Journal of Behavioral Nutrition and Physical Activity, 8, 79.  https://doi.org/10.1186/1479-5868-8-79 CrossRefGoogle Scholar
  43. World Health Organization. (2010). Global recommendations on physical activity for health. http://whqlibdoc.who.int/publications/2010/9789241599979_eng.pdf Accessed June 13, 2018

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Active Aging Research Hub, Graduate School of Human Development and EnvironmentKobe UniversityKobe CityJapan

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