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Am J Health Promot. 2019 Nov 14:890117119885518. doi: 10.1177/0890117119885518. [Epub ahead of print]

Sedentary Time and Physical Activity Across Occupational Classifications.

Author information

1
Department of Health and Physical Activity, University of Pittsburgh, PA, USA.
2
UTHealth School of Public Health in Austin, Austin, TX, USA.
3
Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
4
Department of Health and Human Physiology, University of Iowa, IA, USA.
5
Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
6
Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.

Abstract

PURPOSE:

To examine differences in activity patterns across employment and occupational classifications.

DESIGN:

Cross-sectional.

SETTING:

A 2005-2006 Coronary Artery Risk Development in Young Adults (CARDIA) study.

SAMPLE:

Participants with valid accelerometry data (n = 2068).

MEASURES:

Uniaxial accelerometry data (ActiGraph 7164), accumulated during waking hours, were summarized as mean activity counts (counts/min) and time spent (min/d) in long-bout sedentary (≥30 minutes, SED≥30), short-bout sedentary (<30 minutes, SED<30), light physical activity (LPA), short-bout moderate-to-vigorous physical activity (<10 minutes, MVPA<10), and long-bout MVPA (≥10 minutes, MVPA≥10) using Freedson cut-points. Employment status was self-reported as full time, part time, unemployed, keeping house, or raising children. Self-reported job duties were categorized into 23 major groups using the 2010 Standard Occupational Classification.

ANALYSIS:

Omnibus differences were analyzed using adjusted analysis of covariance and repeated after stratification by race (black/white) and sex (female/male).

RESULTS:

SED≥30, SED<30, LPA, and MVPA<10 differed significantly by employment and occupational categories (P ≤ .05), while MVPA≥10 did not (P ≥ .50). SED≥30, SED<30, and LPA differed by occupational classification in men, women, blacks, and whites (P < .05). Mean activity counts, MVPA<10, and MVPA≥10 were significantly different across occupational classifications in whites (P ≤ .05), but not in blacks (P > .05). Significant differences in mean activity counts and MVPA<10 across occupational classifications were found in males (P ≤ .001), but not in females (P > .05).

CONCLUSION:

Time within activity intensity categories differs across employment and occupational classifications and by race and sex.

KEYWORDS:

activity pattern; employment; occupation; occupational activity; sedentary behavior; workplace health

PMID:
31726849
DOI:
10.1177/0890117119885518

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