Effort-reward imbalance at work assessed at midlife and prediabetes prevalence assessed 18 years later in a prospective cohort of white-collar workers.

IF 1.8 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Camille Riopel, Xavier Trudel, Alain Milot, Danielle Laurin, Mahée Gilbert-Ouimet, Chantal Brisson
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Abstract

Objectives: Evidence suggests that workers exposed to psychosocial stressors at work from the effort-reward imbalance (ERI) model are at increased risk for type 2 diabetes mellitus (T2DM). However, evidence about the effect of ERI on prediabetes is scarce. This study aimed to examine the association between effort-reward imbalance at work, glycated hemoglobin level and the prevalence of prediabetes in women and men from a prospective cohort study.

Methods: This study was conducted among 1354 white-collar workers followed for an average of 18 years. Effort-reward imbalance at work was measured in 1999 to 2001 using a validated instrument. Glycated hemoglobin was assessed at follow-up (2015 to 2018). Differences in mean glycated hemoglobin levels were estimated with linear models. Prediabetes prevalence ratios (PRs) were computed using robust Poisson regression models.

Results: In women, those exposed to effort-reward imbalance at work at baseline had a higher prevalence of prediabetes (PR = 1.60, 95% confidence interval: 1.02-2.49) at follow-up following adjustment for sociodemographic, lifestyle-related, clinical, and other occupational risk factors. There was no difference in mean glycated hemoglobin levels.

Conclusion: Among women, effort-reward imbalance at work at midlife was associated with the prevalence of prediabetes, at older age. Preventive workplace interventions aiming to reduce the prevalence of effort-reward imbalance at work may be effective to reduce the prevalence of prediabetes among women.

在一个白领前瞻性队列中,评估中年时的工作努力回报失衡与 18 年后的糖尿病患病率。
目的:有证据表明,在工作中受到努力-回报不平衡(ERI)模式的社会心理压力的工人患 2 型糖尿病(T2DM)的风险会增加。然而,有关 ERI 对糖尿病前期影响的证据却很少。本研究旨在通过一项前瞻性队列研究,探讨工作中努力-回报失衡、糖化血红蛋白水平与女性和男性糖尿病前期患病率之间的关联:这项研究对 1354 名白领进行了平均 18 年的跟踪调查。在 1999 年至 2001 年期间,使用一种经过验证的工具测量了工作中的付出与回报不平衡。在随访(2015 年至 2018 年)时对糖化血红蛋白进行了评估。平均糖化血红蛋白水平的差异通过线性模型进行估算。使用稳健的泊松回归模型计算糖尿病前期患病率(PR):结果:在对社会人口学、生活方式相关、临床和其他职业风险因素进行调整后,基线工作时暴露于努力-回报不平衡的女性在随访时的糖尿病前期患病率更高(PR = 1.60,95% 置信区间:1.02-2.49)。平均糖化血红蛋白水平没有差异:结论:在中年女性中,工作中的付出与回报不平衡与老年糖尿病前期的发病率有关。旨在减少工作中付出与回报失衡的预防性工作场所干预措施可能会有效降低女性糖尿病前期的发病率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals Of Work Exposures and Health
Annals Of Work Exposures and Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.60
自引率
19.20%
发文量
79
期刊介绍: About the Journal Annals of Work Exposures and Health is dedicated to presenting advances in exposure science supporting the recognition, quantification, and control of exposures at work, and epidemiological studies on their effects on human health and well-being. A key question we apply to submission is, "Is this paper going to help readers better understand, quantify, and control conditions at work that adversely or positively affect health and well-being?" We are interested in high quality scientific research addressing: the quantification of work exposures, including chemical, biological, physical, biomechanical, and psychosocial, and the elements of work organization giving rise to such exposures; the relationship between these exposures and the acute and chronic health consequences for those exposed and their families and communities; populations at special risk of work-related exposures including women, under-represented minorities, immigrants, and other vulnerable groups such as temporary, contingent and informal sector workers; the effectiveness of interventions addressing exposure and risk including production technologies, work process engineering, and personal protective systems; policies and management approaches to reduce risk and improve health and well-being among workers, their families or communities; methodologies and mechanisms that underlie the quantification and/or control of exposure and risk. There is heavy pressure on space in the journal, and the above interests mean that we do not usually publish papers that simply report local conditions without generalizable results. We are also unlikely to publish reports on human health and well-being without information on the work exposure characteristics giving rise to the effects. We particularly welcome contributions from scientists based in, or addressing conditions in, developing economies that fall within the above scope.
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