Top

Optie A:

Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
Optie B:

Deel de link per e-mail
Link delen

vorige artikel To frame or not to frame? Effects of message fr...

volgende artikel The association between symptoms of generalized...

Tip

Swipe om te navigeren naar een ander artikel

21-09-2018 | Uitgave 2/2019

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

Tijdschrift:: Journal of Behavioral Medicine > Uitgave 2/2019

Auteurs:: Kazuhiro Harada, Kouhei Masumoto, Narihiko Kondo

» Toegang tot de volledige tekst krijgen

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.

Log in om toegang te krijgen

Hier inloggen

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Psychologie Totaal

Met BSL Psychologie Totaal blijft u als professional steeds op de hoogte van de nieuwste ontwikkelingen binnen uw vak. Met het online abonnement heeft u toegang tot een groot aantal boeken, protocollen, vaktijdschriften en e-learnings op het gebied van psychologie en psychiatrie. Zo kunt u op uw gemak en wanneer het u het beste uitkomt verdiepen in uw vakgebied.

Meer informatie

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 CrossRefPubMed

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 CrossRefPubMedCentral

Arai, H., & Satake, S. (2015). English translation of the Kihon Checklist. Geriatrics & Gerontology International, 15, 518–519. https://doi.org/10.1111/ggi.12397 CrossRef

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

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 CrossRefPubMedPubMedCentral

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 CrossRefPubMed

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 CrossRefPubMedPubMedCentral

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMedPubMedCentral

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 CrossRefPubMed

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

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMedPubMedCentral

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 CrossRef

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

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMedPubMedCentral

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 CrossRefPubMed

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)

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMedPubMedCentral

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 CrossRef

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 CrossRefPubMedPubMedCentral

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRefPubMed

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 CrossRef

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

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 CrossRef

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 CrossRefPubMed

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 CrossRef

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 CrossRefPubMed

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 CrossRefPubMedPubMedCentral

World Health Organization. (2010). Global recommendations on physical activity for health. http://whqlibdoc.who.int/publications/2010/9789241599979_eng.pdf Accessed June 13, 2018

Titel: Daily and longitudinal associations of out-of-home time with objectively measured physical activity and sedentary behavior among middle-aged and older adults
Auteurs:: Kazuhiro Harada
Kouhei Masumoto
Narihiko Kondo
Publicatiedatum: 21-09-2018
DOI: https://doi.org/10.1007/s10865-018-9976-x
Uitgeverij: Springer US
Tijdschrift: Journal of Behavioral Medicine
Uitgave 2/2019
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Tip

Swipe om te navigeren naar een ander artikel

Abstract

Log in om toegang te krijgen

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Psychologie Totaal

Andere artikelen Uitgave 2/2019

The relationship between indoor tanning and body mass index, physical activity, or dietary practices: a systematic review

A prospective study of work–private life conflict and number of pain sites: moderated mediation by sleep problems and support

Aspects of the parent–child relationship and parent metabolic outcomes

Internet-delivered cognitive behaviour therapy for chronic health conditions: a systematic review and meta-analysis

To frame or not to frame? Effects of message framing and risk priming on mouth rinse use and intention in an adult population-based sample

Correction to: Health care providers’ support of patients’ autonomy, phosphate medication adherence, race and gender in end-stage renal disease