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首页> 外文期刊>The Lancet Public Health >Lifestyle factors and risk of sickness absence from work: a multicohort study
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Lifestyle factors and risk of sickness absence from work: a multicohort study

机译:生活方式因素和因病缺勤的风险:一项多队列研究

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BackgroundLifestyle factors influence the risk of morbidity and mortality, but the extent to which they are associated with employees' absence from work due to illness is unclear. We examined the relative contributions of smoking, alcohol consumption, high body-mass index, and low physical activity to diagnosis-specific sickness absence.MethodsWe did a multicohort study with individual-level data of participants of four cohorts from the UK, France, and Finland. Participants' responses to a lifestyle survey were linked to records of sickness absence episodes, typically lasting longer than 9 days; for each diagnostic category, the outcome was the total number of sickness absence days per year. We estimated the associations between lifestyle factors and sickness absence by calculating rate ratios for the number of sickness absence days per year and combining cohort-specific estimates with meta-analysis. The criteria for assessing the evidence included the strength of association, consistency across cohorts, robustness to adjustments and multiple testing, and impact assessment by use of population attributable fractions (PAF), with both internal lifestyle factor prevalence estimates and those obtained from European populations (PAFexternal).FindingsFor 74?296 participants, during 446?478 person-years at risk, the most common diagnoses for sickness absence were musculoskeletal diseases (70·9 days per 10 person-years), depressive disorders (26·5 days per 10 person-years), and external causes (such as injuries and poisonings; 12·8 days per 10 person-years). Being overweight (rate ratio [adjusted for age, sex, socioeconomic status, and chronic disease at baseline] 1·30, 95% CI 1·21–1·40; PAFexternal8·9%) and low physical activity (1·23, 1·14–1·34; 7·8%) were associated with absences due to musculoskeletal diseases; heavy episodic drinking (1·90, 1·41–2·56; 15·2%), smoking (1·70, 1·42–2·03; 11·8%), low physical activity (1·67, 1·42–1·96; 19·8%), and obesity (1·38, 1·11–1·71; 5·6%) were associated with absences due to depressive disorders; heavy episodic drinking (1·64, 1·33–2·03; 11·3%), obesity (1·48, 1·27–1·72; 6·6%), smoking (1·35, 1·20–1·53; 6·3%), and being overweight (1·20, 1·08–1·33; 6·2%) were associated with absences due to external causes; obesity (1·82, 1·40–2·36; 11·0%) and smoking (1·60, 1·30–1·98; 10·3%) were associated with absences due to circulatory diseases; low physical activity (1·37, 1·25–1·49; 12·0%) and smoking (1·27, 1·16–1·40; 4·9%) were associated with absences due to respiratory diseases; and obesity (1·67, 1·34–2·07; 9·7%) was associated with absences due to digestive diseases.InterpretationLifestyle factors are associated with sickness absence due to several diseases, but observational data cannot determine the nature of these associations. Future studies should investigate the cost-effectiveness of lifestyle interventions aimed at reducing sickness absence and the use of information on lifestyle for identifying groups at risk.FundingNordForsk, British Medical Research Council, Academy of Finland, Helsinki Institute of Life Sciences, and Economic and Social Research Council.
机译:背景生活方式的因素会影响发病和死亡的风险,但尚不清楚这些因素与员工因病缺勤相关的程度。我们研究了吸烟,饮酒,身体质量指数高和体育锻炼量少对特定诊断性疾病缺乏的相对影响。方法我们对来自英国,法国和法国的四个队列参与者的个人数据进行了多队列研究。芬兰。参与者对生活方式调查的回答与疾病缺席发作的记录相关,通常持续时间超过9天。对于每个诊断类别,结果是每年疾病缺勤天数的总数。我们通过计算每年因病缺勤天数的比率,并将针对特定人群的估计数与荟萃分析相结合,来估计生活方式因素与疾病缺席之间的关联。评估证据的标准包括关联的强度,各组之间的一致性,对调整和多重测试的鲁棒性以及使用人群归因分数(PAF)进行的影响评估,包括内部生活方式因素患病率估算值和从欧洲人群获得的估算值(研究结果对于74?296名参与者,在446?478人年的危险期间,最常见的疾病缺乏诊断为肌肉骨骼疾病(每10人年70·9天),抑郁症(每10人26·5天)人年)和外部原因(例如伤害和中毒;每10人年12·8天)。超重(比率[根据基线时的年龄,性别,社会经济状况和慢性病进行调整的比率)1·30,95%CI 1·21-1·40; PAFexternal8·9%),体力活动低(1·23, 1·14-1·34; 7·8%)与肌肉骨骼疾病引起的缺勤有关;大量饮酒(1·90,1·41–2·56; 15·2%),吸烟(1·70,1·42–2·03; 11·8%),体力活动低(1·67, 1·42-1·96; 19·8%)和肥胖(1·38、1·11-1·71; 5·6%)与因抑郁症而缺席有关;大量饮酒(1·64,1·33-2·03; 11·3%),肥胖(1·48,1·27-1·72; 6·6%),吸烟(1·35,1· 20–1·53; 6·3%)和超重(1·20,1·08-1·33; 6·2%)与由于外在原因导致的缺勤有关。肥胖(1·82、1·40-2·36; 11·0%)和吸烟(1·60、1·30-1·98; 10·3%)与循环系统疾病相关。与呼吸系统疾病相关的运动缺乏与低体力活动(1·37,1·25-1·49; 12·0%)和吸烟(1·27,1·16-1·40; 4·9%)有关。肥胖(1·67、1·34–2·07; 9·7%)与消化系统疾病引起的失踪有关。生活方式因素与多种疾病导致的疾病缺乏有关,但观察数据无法确定这些因素的性质协会。未来的研究应调查旨在减少疾病缺席的生活方式干预措施的成本效益,并使用生活方式信息来识别有风险的人群。FundingNordForsk,英国医学研究理事会,芬兰科学院,赫尔辛基生命科学研究所以及经济与社会研究委员会。

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