TY - JOUR
T1 - Sedentary Time and Physical Activity Across Occupational Classifications
AU - Quinn, Tyler D.
AU - Pettee Gabriel, Kelley
AU - Siddique, Juned
AU - Aaby, David
AU - Whitaker, Kara M.
AU - Lane-Cordova, Abbi
AU - Sidney, Stephen
AU - Sternfield, Barbara
AU - Barone Gibbs, Bethany
N1 - Funding Information:
The authors received no financial support for the research, authorship, and/or publication of this article: The Coronary Artery Risk Development in Young Adults Study (CARDIA) is conducted and supported by the National Heart, Lung, and Blood Institute (NHLBI) in collaboration with the University of Alabama at Birmingham (HHSN268201800005I and HHSN268201800007I), Northwestern University (HHSN268201800003I), University of Minnesota (HHSN268201800006I), and Kaiser Foundation Research Institute (HHSN268201800004I). This manuscript has been reviewed by CARDIA for scientific content. Dr Barone Gibbs discloses grant funding from the Agency for Healthcare Quality Research, the American Heart Association, the National Institutes of Health, and the Tomayko Fund.
Publisher Copyright:
© The Author(s) 2019.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - 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.
AB - 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.
KW - activity pattern
KW - employment
KW - occupation
KW - occupational activity
KW - sedentary behavior
KW - workplace health
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U2 - 10.1177/0890117119885518
DO - 10.1177/0890117119885518
M3 - Article
C2 - 31726849
AN - SCOPUS:85075163214
VL - 34
SP - 247
EP - 256
JO - American Journal of Health Promotion
JF - American Journal of Health Promotion
SN - 0890-1171
IS - 3
ER -