Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Population Health Unit, Finnish Institute of Health and Welfare, Helsinki, Finland.
PLoS One. 2023 Feb 15;18(2):e0281056. doi: 10.1371/journal.pone.0281056. eCollection 2023.
To investigate working life courses in women and men and possible associations with socioeconomic, health-, and work-related factors.
A 15-year prospective cohort study of individuals aged 18-50 in paid work at baseline and answering the Swedish Living Conditions Surveys (2000-2003, N = 9269) and their annual economic activity, using nationwide registers. We used sequence and cluster analyses to identify and group similar working life sequences. Multinomial logistic regression was used to examine associations of sex, socioeconomic, health-, and work-related factors with sequence cluster memberships.
We identified 1284 working life sequences, of which 65% represented continuous active (in paid work/studying) states. We then identified five sequence clusters, the largest one with individuals who were continuously active (n = 6034, 65% of the participants; 54% of women and 76% of men) and smaller ones with interruptions of the active state by long-term parental-leave, unemployment, and/or sickness absence/disability pension (SA/DP), or retirement. Women were more likely than men to belong to the "Parental-leave periods" (odds ratio [OR]: 33.2; 95% confidence intervals [CI]: 25.6, 43.1) and the "SA/DP periods" sequence clusters (OR: 1.8; 95% CI: 1.4, 2.1), also after adjustment for covariates. In both sexes, low education and poor health were the strongest predictors of belonging to the sequence cluster "Unemployment & SA/DP periods". Predictors of the "Parental-leave periods" sequence cluster differed between women and men.
In a cohort of individuals in paid work at baseline, the majority of women and men worked most of each year although women were more likely to have some interruptions characterized by long-term parental-leave or SA/DP periods than men, independently of socioeconomic, health-, and work-related factors.
调查女性和男性的工作生活轨迹,以及这些轨迹与社会经济、健康和工作相关因素的可能关联。
这是一项对 18-50 岁处于受雇工作状态的个体进行的 15 年前瞻性队列研究,在基线时他们参与了瑞典生活条件调查(2000-2003 年,N=9269),并使用全国性登记处报告其每年的经济活动情况。我们使用序列和聚类分析来识别和分组相似的工作生活轨迹。多变量逻辑回归用于检验性别、社会经济、健康和工作相关因素与序列聚类成员的关联。
我们确定了 1284 种工作生活轨迹,其中 65%代表持续活跃(有薪工作/学习)状态。然后,我们确定了五个序列聚类,最大的一个是由持续活跃的个体组成(n=6034,占参与者的 65%;女性占 54%,男性占 76%),较小的聚类是由长期育儿假、失业和/或病假/残疾抚恤金(SA/DP)或退休导致的活跃状态中断。与男性相比,女性更有可能属于“育儿假期间”(优势比[OR]:33.2;95%置信区间[CI]:25.6,43.1)和“SA/DP 期间”序列聚类(OR:1.8;95%CI:1.4,2.1),即使在调整了协变量后也是如此。在两性中,低教育程度和健康状况较差是属于“失业和 SA/DP 期间”序列聚类的最强预测因素。属于“育儿假期间”序列聚类的预测因素在女性和男性之间有所不同。
在基线时有薪工作的个体队列中,大多数女性和男性每年大部分时间都在工作,尽管与男性相比,女性更有可能因长期育儿假或 SA/DP 而中断工作,而与社会经济、健康和工作相关因素无关。