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Unemployment and disability pension-an 18-year follow-up study of a 40-year-old population in a Norwegian county

机译:失业和残疾养恤金-挪威县40岁人口的18年随访研究

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Background This study explored the association of unemployment and an increased risk of receiving disability pension, and the possibility that this risk is attributed to municipality-specific characteristics. Methods A cohort of 7,985 40-42 year olds was followed for 18 years in national registers, identifying new episodes of unemployment and cases of disability pension. The association between an unemployment period and disability pension in the subsequent year was estimated using discrete time multilevel logistic regressions and clustering individuals by municipality. The association between unemployment and disability pension was adjusted for age in the follow up-period, sex, baseline health status, health behaviour and education level. A conditional intra-class correlation coefficient (ICC) was estimated as a measure of inter-municipality variance. Results In the follow-up period, 2784 (35%) of the participants were granted disability pension. The crude odds ratio for receiving disability pension after unemployment (adjusted for age in follow-up period and sex only) was 1.42 (95% CI 1.1-1.8). Adjusting for baseline health indicators reduced the odds ratio of unemployment to 1.33 (CI 1.1-1.7). A fully adjusted model, including education level, further reduced the odds ratio of unemployment to 1.25 (CI 1.00-1.6). The ICC of the municipality level was approximately 2%. Conclusions Becoming unemployed increased the risk of receiving subsequent disability pension. However, adjusting for baseline health status, health behaviour and education attenuated this impact considerably. The multilevel analysis indicated that a minor, yet statistically significant, proportion of the risk of disability pension can be attributed to the municipality of residence.
机译:背景资料这项研究探讨了失业与领取残疾抚恤金的风险增加之间的关系,以及这种风险归因于市政当局特定特征的可能性。方法对7985名40-42岁的人群进行18年的国家登记,以发现新的失业情况和残疾养老金案例。使用离散时间多级Logistic回归并按市政当局对个人进行聚类,估算了下一年的失业期与残障养老金之间的关联。根据随访期间的年龄,性别,基线健康状况,健康行为和教育水平,调整了失业与残疾养恤金之间的关联。估计条件类内相关系数(ICC)作为市际间差异的度量。结果在随访期内,有2784(35%)名参与者获得了残疾抚恤金。失业后领取残疾抚恤金的粗略几率(根据随访期间的年龄和性别调整)为1.42(95%CI 1.1-1.8)。调整基线健康指标后,失业几率降至1.33(CI 1.1-1.7)。经过全面调整的模型(包括教育水平)将失业几率降至1.25(CI 1.00-1.6)。市政级别的ICC约为2%。结论失业将增加获得随后的残障养老金的风险。但是,调整基线健康状况,健康行为和教育程度可以大大减轻这种影响。多层次分析表明,残疾抚恤金风险中较小但具有统计意义的比例可归因于居住城市。

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