Influence of Marital Status on Physical Activity Levels among Older Adults
Abstract
PURPOSE: The purpose of these analyses was to describe the levels and types of activity in relationship to current marital status among older adults and determine if the physical activity level of the husband was related to the physical activity level of his wife. METHODS: Participants included 3075 well-functioning white and black men and women aged 70-79 yr with further examination of 345 spousal pairs. Marital status was self-reported and participants were grouped as married versus not married. Based on responses to a leisure-time questionnaire, total physical activity was calculated and participants were classified as low or high active. Descriptive statistics were used to describe level and proportions of type of activity by marital status. Logistic regression was used to determine if marital status was an important determinant of physical activity participation. Regression models were adjusted for demographics, body mass index (BMI), and chronic disease conditions. RESULTS: When compared with their single counterparts, married men reported higher median levels of exercise participation (P = 0.008) and married women reported higher levels of total (P < 0.0001) and nonexercise activity (P < 0.0001) with a trend toward higher exercise participation (P = 0.05). In spousal pairs, compared with men in the low active group, highly active men were almost three times as likely (OR = 2.97; 95% CI = 1.73, 5.10) to have a similarly active spouse. The model only modestly attenuated when adjusted for age, BMI, and health status of the husband [OR = 2.49 (1.41, 4.42)]. CONCLUSIONS: Marital status and spousal physical activity (PA) levels are important determinants for PA participation among older adults.
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Marriage is associated with a greater likelihood of health-promoting behaviors such as exercise, presumably because spouses influence these behaviors.
“Being married is associated with an increased likelihood of engaging in health-promoting behaviors such as exercise,5–7 presumably because marital partners exert some influence over these behaviors.8,9”
From Social isolation (2011) · cites this paper as [5]
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The Influence of Marriage and Cohabitation on Physical Activity Among Middle-Aged and Older People
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Characteristics of ageing pets and their owners: dogs v. cats.
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- Authors
- PETTEE, K. K., BRACH, J. S., KRISKA, A. M., BOUDREAU, R., RICHARDSON, C. R., COLBERT, L. H., SATTERFIELD, S., VISSER, M., HARRIS, T. B., AYONAYON, H. N., & NEWMAN, A. B.
- Affiliations
- University of Pittsburgh (US)
- University of Michigan (US)
- University of Wisconsin–Madison (US)
- University of Memphis (US)
- Vrije Universiteit Amsterdam (NL)
- National Institutes of Health (US)
- University of California, San Francisco (US)
- ORCID
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2006-03
- Volume
- 38
- Issue
- 3
- Pages
- 541-546
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2110595629
- Cited by
- 210
- References
- 16
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 22 · 2023: 20 · 2022: 12 · 2021: 32 · 2020: 13 · 2019: 11 · 2018: 11 · 2017: 11 · 2016: 6 · 2015: 6 · 2014: 8 · 2013: 7 · 2012: 8
- FWCI
- 3.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Institute on Aging (N01-AG-20-2101, N01-AG-20-2106, N01-AG-20-2103)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- marital status, physical activity, older adults, exercise participation, leisure-time physical activity
- MeSH terms
- Aged, Female, Humans, Male, Pennsylvania, Tennessee, Cohort Studies, Exercise, Marital Status
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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