Factors Influencing Moderate‐to‐Vigorous Intensity Physical Activity Across Different Living Arrangements in Older Adults

Authors

DOI:

https://doi.org/10.55225/hppa.626

Keywords:

long-term care, sedentary behavior, diurnal patterns

Abstract

Purpose: This study aimed to investigate the factors associated with moderate-to-vigorous physical activity (MVPA) in older adults, comparing those living in care facilities with community-dwelling individuals. Additionally, it examined diurnal variations in physical activity across different intensity levels.

Materials and Methods: This cross-sectional study included 10 older adults residing in a care facility (mean age 84.0 ± 6.2 years) and 17 community-dwelling older adults (mean age 75.7 ± 4.7 years). Participants wore a triaxial accelerometer for 1 week to measure sedentary behavior (SB), light physical activity (LPA), and MVPA. Data were analyzed by dividing the 15-h period (6:00–21:00) into five 3-h intervals to examine activity patterns. Descriptive statistics, independent t-tests, and multiple regression analyses identified factors associated with MVPA.

Results: Compared with community-dwelling older adults, their counterparts in care facilities engaged in significantly less MVPA. Long-term care certification, daily step counts, and time spent in LPA were key factors associated with MVPA. Diurnal patterns revealed that community-dwelling older adults were more active from 9:00–18:00, whereas those in care facilities spent more time in SB, particularly between 9:00 and 12:00.

Conclusions: Long-term care certification, daily step counts, and LPA were key factors influencing MVPA. Furthermore, significant differences in physical activity patterns between institutionalized and community-dwelling older adults highlight the need for tailored activity promotion programs.

Downloads

Download data is not yet available.

World Health Organization. WHO guidelines on physical activity and sedentary behaviour. Geneva: World Health Organization; 2020.   Google Scholar

Fukushima N, Kikuchi H, Sato H, et al. Dose-response relationship of physical activity with all-cause mortality among older adults: An umbrella review. J Am Med Dir Assoc. 2024;25(3):417-430. DOI: 10.1016/j.jamda.2023.09.028.   Google Scholar

Bernard P, Doré I, Romain AJ, et al. Dose response association of objective physical activity with mental health in a representative national sample of adults: A cross-sectional study. PLoS One. 2018;13(10):e0204682. DOI: 10.1371/journal.pone.0204682.   Google Scholar

Edholm P, Nilsson A, Kadi F. Physical function in older adults: Impacts of past and present physical activity behaviors. Scand J Med Sci Sports. 2019;29(3):415-421. DOI: 10.1111/sms.13350.   Google Scholar

Kikuchi H, Inoue S, Fukushima N, et al. Social participation among older adults not engaged in full‐or part‐time work is associated with more physical activity and less sedentary time. Geriatr Gerontol Int. 2017;17(11):1921-1927. DOI: 10.1111/ggi.12995.   Google Scholar

Razaob NA, Kadar M, Rashdi HFM, et al. Self-care skills between institutionalised and home dwelling older adults: A preliminary study. J Sains Kesihatan Malaysia. 2021;19(2):1-6. DOI: 10.17576/jskm-2021-1902-15.   Google Scholar

Voss C, Sims-Gould J, Ashe MC, et al. Public transit use and physical activity in community-dwelling older adults: Combining GPS and accelerometry to assess transportation-related physical activity. J Transp Health. 2016;3(2):191-199. DOI: 10.1016/j.jth.2016.02.011.   Google Scholar

Martínez-Gómez D, Guallar-Castillón P, León-Muñoz LM, Rodríguez-Artalejo F. Household physical activity and mortality in older adults: A national cohort study in Spain. Prev Med. 2014;61:14-19. DOI: 10.1016/j.ypmed.2014.01.006.   Google Scholar

Zimmer C, McDonough MH, Hewson J, et al. Social support among older adults in group physical activity programs. J Appl Sport Psychol. 2023;35(4):658-679. DOI: 10.1080/10413200.2022.2055223.   Google Scholar

Lai TF, Liao Y, Lin CY, et al. Moderate-to-vigorous physical activity duration is more important than timing for physical function in older adults. Sci Rep. 2020;10(1):21344. DOI: 10.1038/s41598-020-78072-0.   Google Scholar

Shi H, Hu FB, Huang T, et al. Sedentary behaviors, light-intensity physical activity, and healthy aging. JAMA Netw Open. 2024;7(6):e2416300-e2416300. DOI: 10.1001/jamanetworkopen.2024.16300.   Google Scholar

Borson S, Scanlan J, Brush M, Vitaliano P, Dokmak A. The Mini-Cog: A cognitive ‘vital signs’ measure for dementia screening in multilingual elderly.   Google Scholar

Int J Geriatr Psychiatry. 2000;15(11):1021-1027. DOI: 10.1002/1099-1166(200011)15:11<1021::aid-gps234>3.0.co;2-6.   Google Scholar

Borson S, Scanlan JM, Chen P, Ganguli M. The Mini-Cog as a screen for dementia: Validation in a population-based sample. J Am Geriatr Soc. 2003;51(10):1451-1454. DOI: 10.1046/j.1532-5415.2003.51465.x.   Google Scholar

Yesavage JP, Sheikh JI. Geriatric Depression Scale (GDS): Recent evidence and development of a shorter version. Clin Gerontol. 1986;5(1-2):165-173. DOI: 10.1300/J018v05n01_09.   Google Scholar

Almeida OP, Almeida SA. Short versions of the geriatric depression scale: A study of their validity for the diagnosis of a major depressive episode according to ICD-10 and DSM-IV. Int J Geriatr Psychiatry. 1999;14(10):858-865. DOI: 10.1002/(sici)1099-1166(199910)14:10<858::aid-gps35>3.0.co;2-8.   Google Scholar

Kojima T, Akishita M, Nakamura T, et al. Polypharmacy as a risk for fall occurrence in geriatric outpatients. Geriatr Gerontol Int. 2012;12(3):425-430. DOI: 10.1111/j.1447-0594.2011.00783.x.   Google Scholar

Isen J, McGue M, Iacono W. Genetic influences on the development of grip strength in adolescence. Am J Phys Anthropol. 2014;154(2):189-200. DOI: 10.1002/ajpa.22492.   Google Scholar

Muir-Hunter SW, Clark J, et al. Identifying balance and fall risk in community-dwelling older women: The effect of executive function on postural control. Physiother Can. 2014;66(2):179-186. DOI: 10.3138/ptc.2013-16.   Google Scholar

Cain KL, Sallis JF, Conway TL, Van Dyck D, Calhoon L. Using accelerometers in youth physical activity studies: A review of methods. J Phys Act Health. 2013;10(3):437-450. DOI: 10.1123/jpah.10.3.437.   Google Scholar

Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005;37(11):S531. DOI: 10.1249/01.mss.0000185657.86065.98.   Google Scholar

Makino K, Lee S, Lee S, et al. Daily physical activity and functional disability incidence in community-dwelling older adults with chronic pain: A prospective cohort study. Pain Med. 2019;20(9):1702-1710. DOI: 10.1093/pm/pny263.   Google Scholar

Amagasa S, Fukushima N, Kikuchi H, et al. Older adults’ daily step counts and time in sedentary behavior and different intensities of physical activity. J Epidemiol. 2021;31(5):350-355. DOI: 10.2188/jea.JE20200080.   Google Scholar

Blair CK, Morey MC, Desmond RA, et al. Light-intensity activity attenuates functional decline in older cancer survivors. Med Sci Sports Exerc. 2014;46(7):1375. DOI: 10.1249/MSS.0000000000000241.   Google Scholar

Spartano NL, Lyass A, Larson MG, et al. Objective physical activity and physical performance in middle-aged and older adults. Exp Gerontol. 2019;119:203-211. DOI: 10.1016/j.exger.2019.02.003.   Google Scholar

Gando Y, Yamamoto K, Murakami H, et al. Longer time spent in light physical activity is associated with reduced arterial stiffness in older adults. Hypertension. 2010;56(3):540-546. DOI: 10.1161/HYPERTENSIONAHA.110.156331.   Google Scholar

Jung S, Lee S, Lee S, et al. Relationship between physical activity levels and depressive symptoms in community‐dwelling older Japanese adults. Geriatr Gerontol Int. 2018;18(3):421-427. DOI: 10.1111/ggi.13195.   Google Scholar

Fishman EI, Steeves JA, Zipunnikov V, et al. Association between objectively measured physical activity and mortality in NHANES. Med Sci Sports Exerc. 2016;48(7):1303. DOI: 10.1249/MSS.0000000000000885.   Google Scholar

del Pozo-Cruz J, Irazusta J, Rodriguez-Larrad A, et al. Replacing sedentary behavior with physical activity of different intensities: Implications for physical function, muscle function, and disability in octogenarians living in long-term care facilities. J Phys Act Health. 2022;19(5):329-338. DOI: 10.1123/jpah.2021-0186.   Google Scholar

Davis MG, Fox KR. Physical activity patterns assessed by accelerometry in older people. Eur J Appl Physiol. 2007;100:581-589. DOI: 10.1007/s00421-006-0320-8.   Google Scholar

Biswas A, Oh PI, Faulkner GE, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: A systematic review and meta-analysis. Ann Intern Med. 2015;162(2):123-132. DOI: 10.7326/M14-1651.   Google Scholar

Downloads

Published

2025-03-31

How to Cite

Ando, S., Yamashina, Y., Iwamura, M., Yamato, Y. ., Morita, E., Nanikawa, W. ., Kikuchi, Y., & Kumabe, S. (2025). Factors Influencing Moderate‐to‐Vigorous Intensity Physical Activity Across Different Living Arrangements in Older Adults. Health Promotion & Physical Activity, 29(4), 18–26. https://doi.org/10.55225/hppa.626

Issue

Section

Original article