{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T20:36:09Z","timestamp":1781642169108,"version":"3.54.5"},"reference-count":44,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T00:00:00Z","timestamp":1576800000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"National Institute of Health","award":["3R25CA057711"],"award-info":[{"award-number":["3R25CA057711"]}]},{"name":"Clinical & Translational Science Institute Mentored Career Development Award","award":["KL2 TR002545"],"award-info":[{"award-number":["KL2 TR002545"]}]},{"name":"Cancer Disparities Research Network\/Geographic Management Program (GMaP) Region 4","award":["3 P30 CA006927-52S2"],"award-info":[{"award-number":["3 P30 CA006927-52S2"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>This study aimed to examine the explanatory role of health behaviors, socioeconomic position (SEP), and psychosocial stressors on racial\/ethnic obesity disparities in a multiethnic and multiracial sample of adults.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Using data from the Chicago Community Adult Health Study (2001\u20102003), Oaxaca\u2010Blinder decomposition analysis was conducted to quantify the extent to which health behaviors (fruit and vegetable consumption and physical activity), SEP, and cumulative stressors (e.g., perceived discrimination, financial strain) each explained differences in obesity prevalence in Black, US\u2010born Hispanic, and non\u2010US\u2010born Hispanic compared with non\u2010Hispanic White participants.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>SEP and health behaviors did not explain obesity differences between racial\/ethnic minorities and White individuals. Having high levels of stress in four or more domains explained 4.46% of the differences between Black and White individuals, whereas having high levels of stress in three domains significantly explained 14.13% of differences between US\u2010born Hispanic and White. Together, the predictors explained less than 20% of differences between any racial\/ethnic minority group and White individuals.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Exposure to stressors may play a role in obesity disparities, particularly among Black and US\u2010born Hispanic individuals. Other obesity\u2010related risk factors need to be examined to understand the underlying mechanisms explaining obesity disparities.<\/jats:p><\/jats:sec>","DOI":"10.1002\/oby.22648","type":"journal-article","created":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T08:12:56Z","timestamp":1576829576000},"page":"161-170","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["Assessing the Role of Health Behaviors, Socioeconomic Status, and Cumulative Stress for Racial\/Ethnic Disparities in Obesity"],"prefix":"10.1002","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9875-3825","authenticated-orcid":false,"given":"Adolfo G.","family":"Cuevas","sequence":"first","affiliation":[{"name":"Department of Community Health Tufts University Medford Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruijia","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Social and Behavioral Sciences Harvard T.H. Chan School of Public Health Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natalie","family":"Slopen","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics University of Maryland College Park Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5626-1133","authenticated-orcid":false,"given":"Katherine A.","family":"Thurber","sequence":"additional","affiliation":[{"name":"National Centre for Epidemiology and Population Health Research School of Population Health, Australian National University Canberra Australian Capital Territory Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Norbert","family":"Wilson","sequence":"additional","affiliation":[{"name":"Friedman School of Nutrition Science and Policy Tufts University Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christina","family":"Economos","sequence":"additional","affiliation":[{"name":"Friedman School of Nutrition Science and Policy Tufts University Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David R.","family":"Williams","sequence":"additional","affiliation":[{"name":"Department of Social and Behavioral Sciences Harvard T.H. 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