Gjesdal Sturla, Ringdal Peder R, Haug Kjell, Maeland John Gunnar
Section for Social Medicine, Department of Public Health and Primary Health Care, University of Bergen, Norway.
Eur J Public Health. 2004 Dec;14(4):398-405. doi: 10.1093/eurpub/14.4.398.
While several socio-demographic predictors of disability pension (DP) have been identified, less is known about the importance of the medical aspects.
A representative sample of Norwegian long-term sickness absentees, 2043 women and 1585 men, with detailed diagnostic information based on the International Classification of Primary Care (ICPC) was followed up for 5 years. The date of granting DP was obtained from the Norwegian DP-register and used as the dependent variable in Cox multivariate regression analysis. Medical and socio-demographic factors were entered as explanatory variables.
Kaplan-Meier estimates of the 5 year risk of DP were 22.9% for the full sample, 22.5% for men and 23.3% for the women. Men on sick leave for mental health disorders had an increased disability risk. Except for pregnancy-related cases, which carried a very low risk for future DP, there was no significant difference between the main diagnostic groups among women. Previous sickness absence increased the disability risk but was significant only for total absence above 20 weeks in the 4 years preceding inclusion. Age was the strongest predictor of future DP. Increasing income decreased the risk, bur not linearly. Unemployment status in the year preceding inclusion increased disability risk for women, but not for men. Among cases with musculoskeletal disorders (54.5% of the sample), subgroups with different disability risks were identified in Cox' regression analysis, with a gender-specific pattern.
In addition to previously known socio-demographic predictors, medical variables were important in identifying sickness absentees with an increased risk of DP.
虽然已确定了残疾抚恤金(DP)的若干社会人口统计学预测因素,但对于医学方面的重要性了解较少。
对挪威长期病假人员的代表性样本进行了为期5年的随访,其中包括2043名女性和1585名男性,这些人员具有基于国际初级保健分类(ICPC)的详细诊断信息。从挪威残疾抚恤金登记处获取授予DP的日期,并将其用作Cox多变量回归分析中的因变量。将医学和社会人口统计学因素作为解释变量纳入分析。
整个样本5年DP风险的Kaplan-Meier估计值为22.9%,男性为22.5%,女性为23.3%。因精神健康障碍休病假的男性残疾风险增加。除了与妊娠相关的病例(未来DP风险极低)外,女性主要诊断组之间没有显著差异。既往病假增加了残疾风险,但仅在纳入前4年中累计缺勤超过20周时才具有统计学意义。年龄是未来DP最强的预测因素。收入增加会降低风险,但不是呈线性关系。纳入前一年的失业状态增加了女性的残疾风险,但对男性没有影响。在肌肉骨骼疾病患者(占样本的54.5%)中,Cox回归分析确定了具有不同残疾风险的亚组,呈现出性别特异性模式。
除了先前已知的社会人口统计学预测因素外,医学变量在识别DP风险增加的病假人员方面也很重要。