Relationship Between Employment Characteristics and Obesity Among Employed U.S. Adults
Supporting Files
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2014 Jul-Aug
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Available in CDC Stacks on 2015-07-07T00:00:00Z
File Language:
English
Details
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Alternative Title:Am J Health Promot
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Personal Author:
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Description:Purpose ; This study examined associations between employment characteristics and obesity among a sample representing civilian noninstitutionalized U.S. adults. ; Design ; Quantitative, cross-sectional study. ; Setting ; Workplace. ; Subjects ; The 2010 National Health Interview Survey data for 15,121 employed adults (≥18 years). ; Measures ; The outcome variable was weight status, and exposure variables were employment characteristics (number of employees, work hours, paid by the hour, paid sick leave, and health insurance offered). ; Analysis ; Multivariate logistic regression was used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for employment characteristics associated with obesity (body mass index BMI ≥ 30 kg/m2) after controlling for age, sex, race/ethnicity, education, family income, fruit/vegetable intake, physical activity, smoking, and occupations. ; Results ; Nationwide, 28% of employed adults were obese. From multivariate logistic regression, the odds of being obese was significantly greater among adults who worked at a company with 100 to 499 employees (OR = 1.19, 95% CI = 1.02–1.39) vs. 1 to 24 employees and those who worked >50 hours/week (OR = 1.32, 95% CI = 1.05–1.65) vs. <30 hours/week. ; Conclusion ; Approximately 3 out of 10 employees were obese and 6 out of 10 were overweight or obese. A better understanding of why these employment characteristics are associated with obesity could help employers better develop and target interventions for obesity prevention and treatment in the worksites.
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Subjects:
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Source:Am J Health Promot. 2014; 28(6):389-396.
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Pubmed ID:24200331
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Pubmed Central ID:PMC4494781
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Document Type:
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Funding:
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Place as Subject:
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Volume:28
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Issue:6
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Main Document Checksum:urn:sha256:b5e4ec77926a25e01374969ccc798447197cd08b2dd29fcaaccf1e0edbd8ab95
Supporting Files
File Language:
English
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