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Relationship Between Employment Characteristics and Obesity Among Employed U.S. Adults

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Am J Health Promot
  • Personal Author:
  • 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.

  • Subjects:
  • Source:
    Am J Health Promot. 2014; 28(6):389-396.
  • Pubmed ID:
    24200331
  • Pubmed Central ID:
    PMC4494781
  • Document Type:
  • Funding:
  • Place as Subject:
  • Volume:
    28
  • Issue:
    6
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:b5e4ec77926a25e01374969ccc798447197cd08b2dd29fcaaccf1e0edbd8ab95
  • Download URL:
  • File Type:
    Filetype[PDF - 281.89 KB ]
File Language:
English
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