ArticlePublic health reports (Washington, D.C. : 1974)
Adding industry and occupation questions to the behavioral risk factor surveillance system: new opportunities in public health surveillance.
Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Prevalence of Cannabis Use Among US Workers in 15 States, 2016-2020.American journal of public health · 2024Article
- Characterizing employment of colorectal cancer survivors using electronic health records.JAMIA open · 2021Article
- Relationship of Cisplatin-Related Adverse Health Outcomes With Disability and Unemployment Among Testicular Cancer Survivors.JNCI cancer spectrum · 2020Article
- Adverse Health Outcomes Among Industrial and Occupational Sectors in Michigan.Preventing chronic disease · 2018Article
- Health Insurance Coverage by Occupation Among Adults Aged 18-64 Years - 17 States, 2013-2014.MMWR. Morbidity and mortality weekly report · 2018Article
- Current Marijuana Use by Industry and Occupation - Colorado, 2014-2015.MMWR. Morbidity and mortality weekly report · 2018Article
- Industry and Occupation in the Electronic Health Record: An Investigation of the National Institute for Occupational Safety and Health Industry and Occupation Computerized Coding System.JMIR medical informatics · 2016Article
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Authors and funding
5 authors.
Funding
Abstract
objectivesIndustry and occupation variables are overlooked in many public health surveillance efforts, yet they are useful for describing the burden and distribution of various public health diseases, behaviors, and conditions. This study is the first ever analysis of the Colorado Behavioral Risk Factor Surveillance System (BRFSS) to describe chronic conditions and risk behaviors by occupation. It is intended to provide a new perspective on this existing data source and demonstrate the value of occupation as a core demographic variable for public health research, policy, and practice.
methodsTwo standardized employment questions were included in the 2012 Colorado BRFSS survey and administered to eligible survey respondents who were employed, self-employed, or out of work for less than one year. Occupation data were coded using the National Institute for Occupational Safety and Health (NIOSH) Industry and Occupation Computerized Coding System. We analyzed health behaviors and conditions by major occupation groups. We calculated prevalence estimates and 95% confidence intervals (CIs).
resultsThe prevalence of chronic conditions, health statuses, and risk behaviors (e.g., smoking and seatbelt use) varied significantly by occupation. For example, compared with all workers (93.6%, 95% CI 92.7, 94.5), significantly fewer workers in farming, forestry, fishing and construction, extraction jobs (87.0%, 95% CI 82.0, 92.0) reported always or nearly always wearing a seatbelt while driving. Additionally, significantly more office and administrative support workers (27.5%, 95% CI 22.5, 32.4) compared with all workers (20.6%, 95% CI 19.3, 22.0) were obese. Further observation and research is needed to understand the effects of occupation on health outcomes and behaviors.
conclusionThere are no other Colorado state-level datasets that link health behaviors and chronic conditions with occupation. This study shows that the prevalence of chronic conditions and risk behaviors varies substantially by occupation. Other states conducting the BRFSS may choose to adopt the NIOSH industry and occupation module and add other questions to further investigate health issues by occupation.
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