Koski Tomi P K, Nerg Iiro, Hintsanen Mirka, Korhonen Marko, Miettunen Jouko, Ala-Mursula Leena
Research Unit of Population Health, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland.
Research Unit of Population Health, University of Oulu, Oulu, Finland; Department of Economics, Accounting and Finance, University of Oulu, Oulu, Finland.
J Psychosom Res. 2025 Aug;195:112172. doi: 10.1016/j.jpsychores.2025.112172. Epub 2025 May 29.
We examined whether temperament traits, individual biological tendencies to react to stimuli, predict disability pensions.
We surveyed the temperament traits (novelty seeking, harm avoidance, reward dependence and persistence) of the Northern Finland Birth Cohort 1966 Study participants (n = 4713) when they were 31 years of age. We used Cox regression to calculate the hazard ratios and their 95 % confidence intervals for incident disability pensions until the age of 52, which we obtained from national registers. Potential covariates included marital status, education, work type, average wage, perceived health, and mental disorder and musculoskeletal diagnoses at the age of 31.
We recorded 412 disability pensions (163 for men and 249 for women) during the 22-year follow-up. Higher harm avoidance increased the risk of disability pension with a hazard ratio (95 % confidence interval) of 1.05 (1.02-1.07) and 1.05 (1.03-1.08) for men and women, respectively. Some subscales of harm avoidance, reward dependence and novelty seeking also predicted disability pension.
Higher harm avoidance and its subscales in particular predicted disability pensions in a 22-year follow-up period up to mid-adulthood, although the impact was relatively modest.
我们研究了气质特征(即个体对刺激做出反应的生物学倾向)是否能预测残疾抚恤金。
我们对1966年芬兰北部出生队列研究的参与者(n = 4713)在31岁时的气质特征(寻求新奇、避免伤害、奖励依赖和坚持性)进行了调查。我们使用Cox回归计算了直至52岁时新发残疾抚恤金的风险比及其95%置信区间,这些数据来自国家登记处。潜在的协变量包括婚姻状况、教育程度、工作类型、平均工资、自我感知健康状况以及31岁时的精神障碍和肌肉骨骼疾病诊断。
在22年的随访期间,我们记录了412例残疾抚恤金(男性163例,女性249例)。更高的避免伤害特质增加了获得残疾抚恤金的风险,男性和女性的风险比(95%置信区间)分别为1.05(1.02 - 1.07)和1.05(范围1.03 - 1.08)。避免伤害、奖励依赖和寻求新奇的一些子量表也能预测残疾抚恤金。
在长达22年直至成年中期的随访期内,更高的避免伤害特质尤其是其子量表能够预测残疾抚恤金,尽管影响相对较小。