A landmark cross-national investigation utilizing harmonized longitudinal records from older European populations has established that the employment and family trajectories individuals experience during their core working years significantly influence whether and where they provide informal care in later life. Published in the European Journal of Ageing, the research demonstrates that adult histories spanning ages twenty-five to fifty exert persistent, gender-differentiated impacts on caregiving activities among community-dwelling adults aged fifty and older. The authors revealed that women with career histories characterized by homemaking or self-employment are substantially more likely to deliver intensive informal care inside their households during later life, whereas midlife partnership disruptions rather than labor market attachments dictate informal caregiving patterns among men. Drawing upon empirical observations across fifteen European countries, the extensive investigation underscores how the long-term division of domestic labor and institutional welfare policies collectively structure informal eldercare commitments, establishing that path dependencies established during early adulthood fundamentally shape the distribution of unpaid care in aging societies.
Informal caregiving constitutes unpaid help and personal assistance provided to family members, friends, or neighbors who cope with mental or physical health conditions, functional disabilities, or chronic illnesses. Within social epidemiology and life course sociology, caregiving decisions have traditionally been viewed through the lens of contemporaneous time competition, where current labor market commitments, domestic tasks, and childrearing responsibilities directly restrict the availability of discretionary hours. However, prior investigations rarely examined how cumulative biographical pathways influence subsequent care uptake, potentially introducing omitted-variable bias into estimates of later-life care provision. The researchers formulated four foundational hypotheses to test these life course dynamics, predicting that work-oriented trajectories diminish later-life care engagement while family-oriented trajectories elevate care obligations due to greater exposure to potential care recipients and accumulated caregiving familiarity. Furthermore, the team anticipated pronounced gender differences in care pathways, divergent mechanisms governing care provided inside versus outside the household, and observable institutional variations across distinct national welfare state frameworks.
To rigorously test these propositions, the researchers assembled and harmonized multi-country survey data by linking the Survey of Health, Ageing and Retirement in Europe across waves one and two with the English Longitudinal Study of Ageing across waves two and three. These population-based longitudinal surveys interview representative samples of community-dwelling individuals aged fifty and older, alongside their co-residing partners regardless of age, conducting biennial follow-up interviews. Retrospective life histories were obtained from specialized third-wave biographical modules, specifically SHARELIFE conducted in 2008 and 2009 and the third wave of ELSA conducted in 2007, both processed through the Gateway to Global Aging Data platform. From an initial pooled cohort of 33,673 participants across fifteen European nations—Austria, Germany, Switzerland, France, Belgium, Sweden, Denmark, the Netherlands, Spain, Italy, Greece, the Czech Republic, Poland, Ireland, and England—the team removed cases with incomplete life histories, missing outcome data, or incomplete sociodemographic covariates, yielding analytical cohorts of 23,619 individuals for outside-household care and 20,158 individuals for in-household care.
The investigation established precise operational criteria to distinguish between informal personal care provided inside the respondent’s household and assistance delivered to recipients living elsewhere. In the SHARE interview protocol, in-household caregiving was captured by assessing whether respondents had regularly provided personal care assistance—such as bathing, dressing, washing, or transferring in and out of bed—to a co-resident over the previous twelve months, while out-of-household care was isolated to personal physical care rather than general household chores or paperwork. In ELSA, respondents reported whether they had cared for anyone within the prior month, accompanied by follow-up questions specifying the residential status of the care recipient. Baseline descriptive statistics revealed consistent gender disparities in care involvement across all examined nations: approximately five percent of older men provided care inside the household compared to seven percent of women, while out-of-household personal care was delivered by four percent of men compared to over nine percent of women, reflecting widespread disparities in care responsibilities.
To systematically reconstruct and categorize continuous life histories spanning the twenty-five years between ages twenty-five and fifty, the researchers deployed sequence analysis combined with optimal matching algorithms. Originally derived from molecular biology for comparing macromolecular DNA sequences, optimal matching calculates dissimilarity distances between individual life course trajectories by determining the minimal operational cost required to transform one sequence into another through state insertions, deletions, and substitutions. In alignment with established methodological standards, substitution costs were parameterized at 1.0 and indel costs were established at 0.5 across eight potential annual employment states, including full-time employment, part-time work, self-employment, unemployment, and homemaking. The resulting dissimilarity matrix was grouped using Ward’s hierarchical agglomerative clustering method to minimize within-cluster variance, executed via the TraMineR, WeightedCluster, and Cluster software packages within the R computing environment. The analytical team rigorously evaluated candidate two-to-five cluster partitions against established statistical fit indices, relative cluster size thresholds, and theoretical content validity to select the optimal sociological typologies.
The empirical clustering procedures revealed striking structural distinctions between male and female adult trajectories across the fifteen European nations. For male employment histories, model fit indices supported a two-cluster configuration: a dominant, highly stable full-time employment trajectory comprising 8,744 individuals and a self-employed trajectory comprising 1,866 individuals, with only minor transient episodes of unemployment or part-time work. Conversely, female employment pathways resolved into four distinct clusters demonstrating substantial heterogeneity: continuous full-time employment encompassing 5,160 women, dedicated homemaking comprising 4,926 women, part-time employment containing 1,972 women, and self-employment representing 1,052 women. Partnership histories exhibited greater long-term stability across both genders, with 86 percent of women and 83 percent of men remaining partnered throughout adulthood, while separated clusters encompassed 460 men and 744 women, and single clusters contained 1,308 men and 1,033 women.
Multivariable stepwise logistic regression models revealed that earlier employment pathways did not demonstrate any statistically significant association with later-life informal care provision among older men. Instead, male caregiving patterns were overwhelmingly governed by partnership dissolution and family structure. Compared to men who maintained continuous partnerships, men grouped within the separated cluster exhibited substantially lower probabilities of delivering in-household care, reflected in a negative regression coefficient of negative 0.71 with a standard error of 0.36, while displaying a significantly higher likelihood of providing care outside the household, indicated by a positive coefficient of 0.48 and a standard error of 0.19. Furthermore, reproductive history exerted a significant influence on male care commitments: childless men exhibited elevated likelihoods of providing in-household care relative to fathers of two or more children, yielding a coefficient of 0.36 with a standard error of 0.16, whereas men with an only child demonstrated significantly elevated care provision outside the residential household.
For older women, multivariable regression models documented a fundamentally divergent set of determinants, showing that midlife employment trajectories significantly influenced subsequent caregiving patterns. Compared to women who maintained continuous full-time careers, women who spent their midlife as homemakers demonstrated a statistically significant increase in the odds of providing in-household care, indicated by a coefficient of 0.21 with a standard error of 0.09, but experienced a significant reduction in care provided outside the household, with a coefficient of negative 0.20 and a standard error of 0.07. Self-employed women were likewise significantly more prone to undertake in-household caregiving duties, displaying a robust positive coefficient of 0.49 and a standard error of 0.13. Midlife part-time employment exhibited a suggestive negative association with in-household care, yielding a coefficient of negative 0.22 with a standard error of 0.13. Partnership trajectories showed no statistically significant influence on women’s caregiving, whereas childlessness significantly increased care provision both inside and outside the domestic residence.
The investigation incorporated macro-level institutional indicators by classifying national eldercare infrastructures into three distinct welfare regimes based on long-term care policy frameworks. Strong defamilialism and supported familialism regimes, encompassing the Netherlands, Denmark, and Sweden, provide extensive public services and financial support, whereas moderate defamilialism systems, encompassing Austria, Germany, Spain, Ireland, England, France, Switzerland, and Belgium, supply intermediate levels of formal support. Conversely, familialism-by-default regimes, represented by Poland, Greece, Italy, and the Czech Republic, offer minimal public support, placing care burdens directly onto informal family networks. Fully adjusted regression models supported institutional crowding-out dynamics: men residing in familialism-by-default nations exhibited higher likelihoods of providing in-household care, whereas women in strong defamilialist countries demonstrated significantly lower propensities for in-household caregiving compared to moderate regimes. Tests evaluating statistical interaction terms between national care policy regimes and individual life course sequences yielded no statistically significant interactions, demonstrating that the structural effects of biographical trajectories operated consistently across divergent welfare models.
While providing unique longitudinal insights, the authors noted several methodological considerations and boundaries inherent to the study design. Retrospective biographical surveys remain subject to potential recall inaccuracies, although prior validation studies using administrative data linkage confirmed high empirical reliability across SHARELIFE and ELSA life course modules. Additionally, sequence analysis combined with hierarchical clustering inevitably compresses temporal nuances; for instance, the single partnership cluster aggregated lifelong single individuals with respondents who married later in adulthood. The quantitative models also lacked direct identification of specific care recipients, categorizing care solely by residential boundaries rather than distinguishing between biological parents, parents-in-law, or spouses. Finally, because the foundational survey waves were collected during the early 2000s, subsequent sociological developments—including rising female labor market participation, elevated late-life divorce rates, and expanded male parental leave uptake—suggest that the interplay between early-life career histories, partnership instability, and subsequent informal care commitments will become increasingly pronounced for future generations of aging European citizens.
Subject of Research: Association between adult life histories and later-life informal caregiving across Europe
Article Title: The association between employment and family histories and caregiving in later life. European findings based on SHARE and ELSA
Article References: Deindl, C., Di Gessa, G., Wahrendorf, M., van Damme, M., Spijker, J., Lacey, R., Xue, B., King, M., & McMunn, A. (2026). The association between employment and family histories and caregiving in later life. European findings based on SHARE and ELSA. European Journal of Ageing, 23(1), Article 23. https://doi.org/10.1007/s10433-026-00919-8
Image Credits: AI Generated
DOI: 10.1007/s10433-026-00919-8
Keywords: informal caregiving, life course epidemiology, sequence analysis, European aging, SHARE, ELSA, welfare regimes, gender differences, association, between, employment, family
Source: bioengineer.org
