Evidence map›Paper›PMID 40217419›Full record

ArticleJournal of activity, sedentary and sleep behaviors2023

Joint associations of leisure-time physical activity and sitting time with emotional wellbeing, physical functioning and work ability: an occupational study among young and early midlife Finnish municipal employees.

Jouni Lahti, Jatta Salmela, Anne Kouvonen, Ossi Rahkonen, Tea Lallukka

Abstract read
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Article in Journal of activity, sedentary and sleep behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jouni LahtiDepartment of Public Health, University of Helsinki, Helsinki, Finland. Jouni.mm.lahti@helsinki.fi.
Jatta SalmelaDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Anne KouvonenFaculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Ossi RahkonenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Tea LallukkaDepartment of Public Health, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical inactivity and sedentary behaviour are major public health problems. We examined the individual and joint associations of leisure-time physical activity (LTPA) and total sitting time with emotional wellbeing, physical functioning and work ability in young and early midlife employees.

methodsCross-sectional questionnaire survey data were collected in 2017 among 19-39-year-old employees of the City of Helsinki (response rate 51.5%). LTPA (including commuting PA) was converted into a metabolic equivalent (MET) index. We classified the participants into four groups according to PA recommendations and participation in vigorous intensity activities. Total sitting time was classified into three groups using tertile cut-points (5.5 and 8.5 h/day). For joint analyses, we truncated LTPA into three groups and sitting time into two groups yielding a six-category variable. Emotional wellbeing and physical functioning were measured using the RAND-36 questionnaire and work ability with a scale ranging from 0 to 100. Linear regression analysis was used to estimate adjusted means and their 95% confidence intervals (CIs). The analytical sample included 4544 participants (80% females).

resultsAdjusting for age and sex, high sitting time (> 8.5 h/day) was associated only with poorer emotional wellbeing. LTPA, especially vigorous activity, showed clear positive associations with emotional wellbeing, physical functioning and work ability. For emotional wellbeing, the low activity groups with low (70.51, 95% CI 69.1-71.9) and high (67.5, 65.5-69.5) sitting time and the moderate activity groups with low (72.5, 71.3-73.7) and high (70.4, 68.6-72.1) sitting time had statistically significantly lower mean scores than the corresponding vigorous activity groups with low (74.9, 74.2-75.7) and high (72.7, 71.6-73.9) sitting time. For physical functioning, the vigorous activity groups with low (96.3, 95.8-96.7) and high (96.2, 95.5-96.9) sitting time had significantly higher scores than the other groups. For work ability, the vigorous activity groups with low (82.0, 81.3-82.6) and high (80.8, 79.8-81.8) sitting time had significantly higher scores than the other groups. Adjusting for covariates only slightly attenuated these associations.

conclusionsPromoting PA among employees can contribute to better physical and mental health as well as better work ability.

Indexed as

Emotional wellbeingEmployeesExerciseFunctioningLeisure-time physical activitySedentary behaviourSitting timeWorkWork ability

Identifiers

PMID40217419
PMCPMC11960224

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.