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Influence of physical and psychosocial work environment throughout life and physical and cognitive capacity in midlife on labor market attachment among older workers: study protocol for a prospective cohort study

机译:终生的身体和心理社会工作环境以及中年人的身体和认知能力对老年工人劳动力市场依恋的影响:前瞻性队列研究的研究方案

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Background As average life span increases, elderly will account for an increasing proportion of the total population in most parts of the world. Thus, initiatives to retain older workers at the labor market are becoming increasingly important. This study will investigate the influence of physical and psychosocial work environment throughout working life and physical and cognitive capacity in midlife on labor market attachment among older workers. Methods/Design Approximately 5000 participants (aged 50–60 years) from the Copenhagen Aging and Midlife Biobank (CAMB) will be followed prospectively in a national register (DREAM), containing information on a week-to-week basis about social transfer payments for about 5 million Danish residents. Using Cox regression, we will model the risk of long-term sickness absence, disability pension, early retirement and unemployment within a 4 to 6?year period from the baseline measurement as a function of the following predictors: 1) physical work demands throughout working life, 2) psychosocial working conditions throughout working life, 3) physical capacity in midlife, 4) cognitive capacity in midlife. Estimates will be adjusted for age, sex, lifestyle, socioeconomic position, chronic disease and long-term sickness absence prior to baseline. Discussion The project will generate new knowledge on risk factors for loss of labor market attachment. The results will potentially contribute in identifying factors that could be targeted in future interventions for maintaining a longer and healthier working life among older workers.
机译:背景技术随着平均寿命的增长,老年人将在世界大部分地区占总人口的比例越来越大。因此,将老年工人留在劳动力市场的举措变得越来越重要。这项研究将调查在整个工作过程中身体和心理工作环境以及中年人的身体和认知能力对老年工人劳动力市场依恋的影响。方法/设计未来将在哥本哈根国家老龄化和中年生物库(CAMB)中跟踪大约5000名参与者(年龄50-60岁),并在国家登记册(DREAM)中进行追踪,其中包含每周和每周有关社会转移支付的信息。约500万丹麦居民。使用Cox回归,我们将根据以下预测因素对基线测量后4至6年内长期病假,残障养老金,提前退休和失业的风险进行建模:1)整个工作期间的体力劳动需求生活,2)整个工作生活中的社会心理工作条件,3)中年的身体能力,4)中年的认知能力。在基线之前,将针对年龄,性别,生活方式,社会经济地位,慢性病和长期疾病缺席情况对估计值进行调整。讨论该项目将产生有关失去劳动力市场依恋的风险因素的新知识。该结果可能有助于确定将来干预措施中可能针对的因素,以便在老年工人中维持更长和更健康的工作寿命。

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