Integrated approach to health screening of former department of energy workers detects both occupational and non‐occupational illness

Stange, Bill; McInerney, John; Golden, Ashley P.; Benade, Wendy; Neill, Barbara; Mayer, Annyce S.; Witter, Roxana Z.; Tenney, Liliana; Stinson, Kaylan E.; Cragle, Donna L.; Newman, Lee S.

doi:10.1002/ajim.22554

Cited by 7 publications

(21 citation statements)

References 34 publications

(31 reference statements)

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“…The results of the present study in a prospective setting in various industries were well in line with the earlier findings in the construction industry 6 32–34. Earlier studies have provided evidence for the effectiveness of targeted health surveillance measures carried out based on HRA results 4 33 34. The HRA used in the present study was able to identify a subgroup with WD risk in an earlier study 6.…”

Section: Discussionsupporting

confidence: 90%

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Self-reported health problems and obesity predict sickness absence during a 12-month follow-up: a prospective cohort study in 21 608 employees from different industries

et al. 2019

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ObjectivesTo study whether self-reported health problems predict sickness absence (SA) from work in employees from different industries.MethodsThe results of a health risk appraisal (HRA) were combined with archival data of SA of 21 608 employees (59% female, 56% clerical). Exposure variables were self-reported health problems, labelled as ‘work disability (WD) risk factors’ in the HRA, presence of problems with occupational well-being and obesity. Age, socioeconomic grading and the number of SA days 12 months before the survey were treated as confounders. The outcome measure was accumulated SA days during 12-month follow-up. Data were analysed separately for males and females. A Hurdle model with negative binomial response was used to analyse zero-inflated count data of SA.ResultsThe HRA results predicted the number of accumulated SA days during the 12-month follow-up, regardless of occupational group and gender. The ratio of means of SA days varied between 2.7 and 4.0 among those with ‘WD risk factors’ and the reference category with no findings, depending on gender and occupational group. The lower limit of the 95% CI was at the lowest 2.0. In the Hurdle model, ‘WD risk factors’, SA days prior to the HRA and obesity were additive predictors for SA and/or the accumulated SA days in all occupational groups.ConclusionSelf-reported health problems and obesity predict a higher total count of SA days in an additive fashion. These findings have implications for both management and the healthcare system in the prevention of WD.

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Section: Discussionsupporting

confidence: 90%

“…Screening questionnaires are used as a part of targeted health surveillance to identify workers at risk. Some screening questionnaires have shown predictive value for identifying individuals with an increased risk of sickness absence (SA) or work disability (WD) due to health issues 2–5…”

Section: Introductionmentioning

confidence: 99%

Self-reported health problems and obesity predict sickness absence during a 12-month follow-up: a prospective cohort study in 21 608 employees from different industries

et al. 2019

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“…The NSSP is a nationwide occupational medical screening program that is part of the larger U.S. Department of Energy's (DOE) Former Worker Medical Screening Program (FWP). The FWP, a DOE‐funded program initiated in 1996, was designed to identify adverse health outcomes related to hazardous occupational exposures for former DOE site workers …”

Section: Methodsmentioning

confidence: 99%

Clinical and laboratory factors contributing to uninterpretable beryllium lymphocyte proliferation tests (BeLPT)

Smith

Golden

Stange

et al. 2018

American J Industrial Med

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“…The NSSP is part of the Department of Energy (DOE) Former Worker Program, established by the National Defense Authorization Act to assist workers in determining whether they have health issues related to their past work with at DOE facilities. The NSSP takes a Total Worker Health 1 (TWH) approach to former DOE worker health, both screening for potential workrelated medical conditions related to past DOE site employment and providing screening for non-occupational health conditions [12]. From October 2005 to December 2015, the NSSP has provided initial medical examinations to more than 15,000 former DOE workers living in 47 US states.…”

Section: Study Populationmentioning

confidence: 99%

Development and validation of a diabetes risk score among two populations

et al. 2021

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The purpose of this study was to assess the validity of a practical diabetes risk score amongst two heterogenous populations, a working population and a non-working population. Study population 1 (n = 2,089) participated in a large-scale screening program offered to retired workers to discover previously undetected/incipient chronic illness. Study population 2 (n = 3,293) was part of a Colorado worksite wellness program health risk assessment. We assessed the relationship between a continuous diabetes risk score at baseline and development of diabetes in the future using logistic regression. Receiver operating curves and sensitivity/specificity of the models were calculated. Across both study populations, we observed that participants with diabetes at follow-up had higher diabetes risk scores at baseline than participants who did not have diabetes at follow-up. On average, the odds ratio of developing diabetes in the future was 1.38 (95% CI: 1.26–1.50, p < 0.0001) for study population 1 and 1.68 (95% CI: 1.45–1.95, p-value < 0.0001) for study population 2. These findings indicate that the diabetes risk score may be generalizable to diverse individuals, and thus potentially a population level diabetes screening tool. Minimally-invasive diabetes risk scores can aid in the identification of sub-populations of individuals at risk for diabetes.

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Integrated approach to health screening of former department of energy workers detects both occupational and non‐occupational illness

Abstract: The NSSP demonstrates that the identification of potential occupational health issues in conjunction with addressable non-occupational health conditions provides former workers with information to more effectively manage health.

Cited by 7 publications

References 34 publications

Self-reported health problems and obesity predict sickness absence during a 12-month follow-up: a prospective cohort study in 21 608 employees from different industries

Self-reported health problems and obesity predict sickness absence during a 12-month follow-up: a prospective cohort study in 21 608 employees from different industries

Clinical and laboratory factors contributing to uninterpretable beryllium lymphocyte proliferation tests (BeLPT)

Development and validation of a diabetes risk score among two populations

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