适应负荷与努力-回报不平衡:工作-职业的关联

JI Cuitun Coronado, T. Chandola, A. Steptoe
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引用次数: 0

摘要

虽然工作压力源和压力相关生物标志物之间的关联已经在横断面研究中得到了报道,但使用单一时间测量工作压力源可能是先前报道不一致的关联的原因之一。本研究考察了工作生涯末期工作压力的重复报告是否能预测适应负荷,这是一种测量慢性压力相关生理过程的方法。方法对英国老龄化纵向研究(ELSA)第2 - 6波的数据进行分析,主要分析样本为2663名老年人(50岁以上),这些老年人在第2 - 6波之间至少有一次努力-奖励不平衡测量和第6波的适应负荷测量。从这个主要的分析样本中,1020个应答者的子样本在波2测量了他们的适应负荷。通过努力-奖励不平衡模型测量第2-6波的累积工作压力。在控制了相关变量(分类年龄、性别、种族、吸烟状况、一般健康状况、使用的药物数量、使用流行病学研究中心抑郁量表的抑郁症状、身体活动和过去12个月的饮酒情况)后,使用负二项回归模型来估计努力-奖励不平衡与适应负荷之间的关联。结果在最近的第5波(0.09,-0.002-0.17)和第6波(0.13,0.03-0.22)中存在努力-奖励不平衡的员工,其第6波的适应负荷水平高于那些在这些波中没有任何不平衡的员工。从控制第二波负荷的模型中,通过努力-奖励不平衡的累积报告预测的适应负荷水平表明,与从未报告过努力-奖励不平衡的工人相比,报告两次或两次以上努力-奖励不平衡的工人对适应负荷指数的估计更高(0.11,95% CI 0.01至0.22)。研究发现,一些证据表明,生活在英国的50岁以上的老年人反复报告与工作相关的压力源,其适应负荷指数水平高于那些没有报告任何努力-回报不平衡的人。这种关联对于控制一系列潜在的健康和社会人口混杂因素以及适应负荷的基线水平是强有力的。努力-奖励不平衡与适应负荷之间的剂量-反应关联,以及压力源和压力反应的时间,表明暴露于与工作相关的压力源可能通过增加与压力相关的不利生物标志物水平对生理健康产生不利影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OP45 Allostatic load and effort-reward imbalance: associations over the working-career
Background Although associations between work stressors and stress-related biomarkers have been reported in cross-sectional studies, the use of single time measurements of work stressors could be one of the reasons for previously inconsistently reported associations. This study examines whether repeated reports of work stress towards the end of the working career predicts allostatic load, a measure of chronic stress related physiological processes. Methods Data from waves 2 to 6 of the English Longitudinal Study of Ageing (ELSA) were analysed, with a main analytical sample of 2663 older adults (aged 50+) who had at least one measurement of effort-reward imbalance between waves 2–6 and a measurement of allostatic load at wave 6. From this main analytical sample, a subsample of 1020 respondents had their allostatic load measured at wave 2. Cumulative work stress over waves 2–6 were measured by the effort-reward imbalance model. Negative binomial regression models were used to estimate the association between effort-reward imbalance and allostatic load after controlling for covariates (categorized age, gender, ethnicity, smoking status, general health, number of medications used, depressive symptoms using the Centre for Epidemiologic Studies Depression Scale, physical activity, and alcohol use in the last 12 months). Results Employees with effort-reward imbalance at the more recent waves 5 (0.09, –0.002–0.17) and 6 (0.13, 0.03–0.22) had higher levels of wave 6 allostatic load compared to those who did not report any imbalance at those waves. The predicted levels of allostatic load by cumulative reports of effort-reward imbalance from the model controlling for wave 2 allostatic load showed that workers who reported two or more occasions of effort-reward imbalance had a higher estimate of the allostatic load index (0.11, 95% CI 0.01 to 0.22) compared to workers who never reported effort-reward imbalance. Conclusion The study finds some evidence that older adults aged 50+ living in England who repeatedly reported work related stressors had higher levels of the allostatic load index than those who did not report any effort-reward imbalance. This association was robust to controlling for a range of potential health and socio-demographic confounders, as well as baseline levels of allostatic load. The findings of a dose-response association between effort-reward imbalance and allostatic load, as well as the timing of the stressor and stress response, suggest that exposure to work-related stressors may have adverse consequences for physiological health through increasing adverse levels of stress related biomarkers.
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