{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T06:47:16Z","timestamp":1788504436691,"version":"build-2803163510"},"reference-count":27,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T00:00:00Z","timestamp":1573689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"crossref","award":["HHSN268201800003I"],"award-info":[{"award-number":["HHSN268201800003I"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Am J Health Promot"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose:<\/jats:title>\n                    <jats:p>To examine differences in activity patterns across employment and occupational classifications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design:<\/jats:title>\n                    <jats:p>Cross-sectional.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting:<\/jats:title>\n                    <jats:p>A 2005-2006 Coronary Artery Risk Development in Young Adults (CARDIA) study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Sample:<\/jats:title>\n                    <jats:p>Participants with valid accelerometry data (n = 2068).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measures:<\/jats:title>\n                    <jats:p>\n                      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 (\u226530 minutes, SED\n                      <jats:sub>\u226530<\/jats:sub>\n                      ), short-bout sedentary (&lt;30 minutes, SED\n                      <jats:sub>&lt;30<\/jats:sub>\n                      ), light physical activity (LPA), short-bout moderate-to-vigorous physical activity (&lt;10 minutes, MVPA\n                      <jats:sub>&lt;10<\/jats:sub>\n                      ), and long-bout MVPA (\u226510 minutes, MVPA\n                      <jats:sub>\u226510<\/jats:sub>\n                      ) 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.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Analysis:<\/jats:title>\n                    <jats:p>Omnibus differences were analyzed using adjusted analysis of covariance and repeated after stratification by race (black\/white) and sex (female\/male).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      SED\n                      <jats:sub>\u226530<\/jats:sub>\n                      , SED\n                      <jats:sub>&lt;30<\/jats:sub>\n                      , LPA, and MVPA\n                      <jats:sub>&lt;10<\/jats:sub>\n                      differed significantly by employment and occupational categories ( P \u2264 .05), while MVPA\n                      <jats:sub>\u226510<\/jats:sub>\n                      did not ( P \u2265 .50). SED\n                      <jats:sub>\u226530<\/jats:sub>\n                      , SED\n                      <jats:sub>&lt;30<\/jats:sub>\n                      , and LPA differed by occupational classification in men, women, blacks, and whites ( P &lt; .05). Mean activity counts, MVPA\n                      <jats:sub>&lt;10<\/jats:sub>\n                      , and MVPA\n                      <jats:sub>\u226510<\/jats:sub>\n                      were significantly different across occupational classifications in whites ( P \u2264 .05), but not in blacks ( P &gt; .05). Significant differences in mean activity counts and MVPA\n                      <jats:sub>&lt;10<\/jats:sub>\n                      across occupational classifications were found in males ( P \u2264 .001), but not in females ( P &gt; .05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Time within activity intensity categories differs across employment and occupational classifications and by race and sex.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0890117119885518","type":"journal-article","created":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T00:06:32Z","timestamp":1573776392000},"page":"247-256","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":21,"title":["Sedentary Time and Physical Activity Across Occupational Classifications"],"prefix":"10.1177","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0172-062X","authenticated-orcid":false,"given":"Tyler D.","family":"Quinn","sequence":"first","affiliation":[{"name":"Department of Health and Physical Activity, University of Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelley","family":"Pettee Gabriel","sequence":"additional","affiliation":[{"name":"UTHealth School of Public Health in Austin, Austin, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juned","family":"Siddique","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Aaby","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kara M.","family":"Whitaker","sequence":"additional","affiliation":[{"name":"Department of Health and Human Physiology, University of Iowa, IA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abbi","family":"Lane-Cordova","sequence":"additional","affiliation":[{"name":"Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen","family":"Sidney","sequence":"additional","affiliation":[{"name":"Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barbara","family":"Sternfield","sequence":"additional","affiliation":[{"name":"Division of Research, Kaiser Permanente Northern California, Oakland, CA, 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