Social and economic conditions in childhood and the progression of functional health problems from midlife into old age

Early Life Disadvantage and the Risk of Depressive Symptoms among Young Black Women

OVERVIEW

We examined the association between early-life socioeconomic disadvantage and depressive symptoms in adulthood and assessed whether social factors in adulthood modify the association.

METHODS

The 11-item Center for Epidemiologic Studies-Depression Scale (CES-D) assessed adult depressive symptoms among 1612 Black women and other participants with a uterus (hereafter participants) in the Study of Environment, Lifestyle and Fibroids. Baseline self-reported childhood factors (i.e., parents in the household, mother's educational attainment, food insecurity, neighborhood safety, childhood income, and quiet bedroom for sleep) were included in a latent class analysis to derive an early life disadvantage construct. Multivariable log-binomial models estimated the association between early life disadvantage and adult depressive symptoms. Potential effect modifiers included adult educational attainment, social support, and financial difficulty.

RESULTS

Participants classified as having high early life disadvantage had 1.34 times (95% CI: 1.20, 1.49) the risk of high depressive symptoms than those in the low early life disadvantage class after adjusting for age, first born status, and childhood health. Adult educational attainment and social support modified the association.

CONCLUSION

Early life disadvantage increased the risk of depressive symptoms in adulthood. Participants with at least some college education and with high social support had greater risk than those with less than college education and low social support, respectively. Thus, the mental health of Black women and other participants with a uterus exposed to early life disadvantage do not necessarily benefit from higher education or from social support.

Perinatal and neonatal factors and mental disorders in children and adolescents: looking for the contributions of the early environment to common and dissociable aspects of psychopathology

High rates of co-occurrence of mental disorders have been hypothesized to represent a result of common susceptibility to overall psychopathology. The purpose of this study is to test the hypothesis that commonalities among psychiatric disorders might be partially driven by sharable perinatal and neonatal environmental factors for mental disorders. Participants were 6-14 years of age children and their parents. Primary caregivers provided data on perinatal and neonatal information assessed retrospectively (n = 2231). Psychiatric disorders diagnoses were assessed using the Development and Well Being Behavior Assessment (DAWBA). We used bifactor models to disentangle common from dissociable aspects of psychopathology. These models allow modeling psychiatric disorders as the result of a common domain of psychopathology (p-factor) and three dissociable domains (fear, distress, and externalizing symptoms). Associations were tested using linear and tobit regression models. The p-factor was associated with male sex, low socioeconomic status, gestational smoking, gestational drinking, low levels of maternal education and presence of mental disorder in the mother. Associations with specific factors also emerged suggesting some risk factors might also have some role for fear, distress and externalizing factors. Our study supports the hypothesis that overall susceptibility to psychopathology might be partially driven by sharable perinatal and neonatal factors.

Life-course socioeconomic conditions, multimorbidity and polypharmacy in older adults: A retrospective cohort study

Socioeconomic conditions across the life course may contribute to differences in multimorbidity and polypharmacy in old age. However, whether the risk of multimorbidity changes during ageing and whether life-course socioeconomic conditions are associated with polypharmacy remain unclear. We investigated whether disadvantaged childhood socioeconomic conditions (CSCs) predict increased odds of multimorbidity and polypharmacy in older adults, whether CSCs remain associated when adjusting for adulthood socioeconomic conditions (ACSs), and whether CSCs and ACSs are associated cumulatively over the life course. We used data for 31,432 participants (multimorbidity cohort, mean [SD] age 66·2[9] years), and 21,794 participants (polypharmacy cohort, mean age 69·0[8.9] years) from the Survey of Health, Ageing, and Retirement in Europe (age range 50-96 years). We used mixed-effects logistic regression to assess the associations of CSCs, ASCs, and a life-course socioeconomic conditions score (0-8; 8, most advantaged) with multimorbidity (≥2 chronic conditions) and polypharmacy (≥5 drugs taken daily). We found an association between CSCs and multimorbidity (reference: most disadvantaged; disadvantaged: odds ratio (OR) = 0·79, 95% confidence interval (CI) 0·70-0·90; middle: OR = 0·60; 95%CI 0·53-0·68; advantaged: OR = 0·52, 95%CI 0·45-0·60, most advantaged: OR = 0·40, 95%CI 0·34-0·48) but not polypharmacy. This multimorbidity association was attenuated but remained significant after adjusting for ASCs. The life-course socioeconomic conditions score was associated with multimorbidity and polypharmacy. We did not find an association between CSCs, life-course socioeconomic conditions, and change in odds of multimorbidity and polypharmacy with ageing. Exposure to disadvantaged socioeconomic conditions in childhood or over the entire life-course could predict multimorbidity in older age.

Childhood deprivations predict late-life cognitive impairment among older adults in India

Large population-based studies on the associations of childhood factors with late-life cognition are lacking in many low and middle income countries including India. In this study, we assessed the prevalence of late-life cognitive impairment and examined the associations of childhood socioeconomic status (SES) and health conditions with cognitive impairment among older adults in India. Data for this study were derived from the Longitudinal Ageing Study in India conducted in 2017–18. The effective sample size was 31,464 older adults aged 60 years and above. Cognitive functioning was measured through five global domains (memory, orientation, arithmetic function, executive function, and object naming). The overall score ranged between 0 and 43, and the score was reversed indicating cognitive impairment. Descriptive statistics along with mean scores of cognitive impairment were presented. Additionally, moderated multivariable linear regression models were employed to examine the association between explanatory variables, including childhood SES and health conditions and late-life cognitive impairment. The mean score of cognitive functioning among the study participants was 21.72 (CI 2.64–21.80). About 15% of older adults had poor health conditions, and 44% had lower financial status during their childhood. Older adults who had a fair health during their childhood were more likely to suffer from cognitive impairment in comparison to older adults who had good health during their childhood (Coef: 0.60; CI 0.39, 0.81). In comparison to older adults who had good childhood financial status, those who had poor childhood financial status were more likely to suffer from cognitive impairment (Coef: 0.81; CI 0.56, 1.07). Older adults who had fair childhood health status and poor childhood financial status were more likely to suffer from cognitive impairment in comparison to older adults who had good childhood health and good financial status (Coef: 1.26; CI 0.86, 1.66). Social policies such as improving educational and financial resources in disadvantaged communities and socioeconomically poor children and their families, would help to enhance a better cognitive ageing and a healthy and dignified life in old age.

Adverse childhood experiences and handgrip strength among middle-aged and older adults: a cross-sectional study in China

BACKGROUND

Evidence on the association between adverse childhood experiences (ACEs) and handgrip strength (HGS) in later life was limited and inconclusive. We aimed to explore the impact of ACEs on HGS among middle-aged and older Chinese adults.

METHODS

We conducted a cross-sectional study with data extracted from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey with respondents recruited from 450 villages/urban communities of 28 provinces. Participants aged 45 years or older were drawn from the CHARLS 2014 life history survey and the 2015 health survey. Twelve ACE indicators before the age of 17 years were collected. HGS was measured with a dynamometer and the maximum value of HGS obtained from both hands was used in the analyses. Low muscle strength (LMS) was defined according to the recommendation of European Working Group on Sarcopenia in Older People (EWGSOP). Multivariate linear and logistic regression models were constructed to evaluate the association of ACEs with continuous HGS and LMS, with adjustment for age, sex, marital status, ethnicity, area of residence, smoking and drinking status, body mass index, hypertension, dyslipidaemia, diabetes mellitus, cardiovascular disease, arthritis, hip fracture, and memory-related disease.

RESULTS

Of the 7209 eligible participants, 2258 (31.3%) had experienced three or more ACEs. Compared to individuals without ACEs, exposure to ≥ 3 ACEs was negatively associated with continuous HGS in kilogram (β = -0.93, 95% CI: -1.37, -0.49) and positively associated with the risk of LMS (OR = 1.34, 95% CI: 1.12, 1.61). Such associations were consistently found both in men and women who had experienced three or more ACEs. Significant dose-response relationship between the number of ACEs and outcomes was also observed in the overall population and different sex groups.

CONCLUSION

Exposure to ACEs was associated with lower HGS and increased risk of LMS among middle-aged and older Chinese adults, indicating the importance of intervention in individuals with experience of ACEs in order to mitigate its detrimental impact on HGS and promote healthy ageing.

Inequality of opportunities in health and death: an investigation from birth to middle age in Great Britain

Objective

We assess the existence of unfair inequalities in health and death using the normative framework of inequality of opportunities, from birth to middle age in Great Britain.

Methods

We use data from the 1958 National Child Development Study, which provides a unique opportunity to observe individual health from birth to the age of 54, including the occurrence of mortality. We measure health status combining self-assessed health and mortality. We compare and statistically test the differences between the cumulative distribution functions of health status at each age according to one childhood circumstance beyond people’s control: the father’s occupation.

Results

At all ages, individuals born to a ‘professional’, ‘senior manager or technician’ father report a better health status and have a lower mortality rate than individuals born to ‘skilled’, ‘partly skilled’ or ‘unskilled’ manual workers and individuals without a father at birth. The gap in the probability to report good health between individuals born into high social backgrounds compared with low, increases from 12 percentage points at age 23 to 26 at age 54. Health gaps are even more marked in health states at the bottom of the health distribution when mortality is combined with self-assessed health.

Conclusions

There is increasing inequality of opportunities in health over the lifespan in Great Britain. The tag of social background intensifies as individuals get older. Finally, there is added analytical value to combining mortality with self-assessed health when measuring health inequalities.

The Relationship Between Childhood Circumstances and Late Life Physical and Mental Health: The Role of Adult Socioeconomic Status

OBJECTIVES

Socioeconomic status and health in childhood are linked to health outcomes in later life. Health outcomes may also be shaped by socioeconomic circumstances in adulthood and later life. This paper examined the relationship between childhood conditions and later life health and tested whether this relationship was mediated by later life economic living standards.

METHODS

Data from a longitudinal study of aging was combined with retrospective life history data from 787 participants from the New Zealand Health, Work and Retirement Study.

RESULTS

Significant relationships were found between childhood conditions and later life health. These relationships were mediated by economic living standards in older age, but the partial direct effect of childhood conditions on health found in early older age became fully meditated 10 years later.

CONCLUSION

While childhood circumstances are part of this complex relationship, socioeconomic conditions in later life are vital to ensuring ongoing health into older age.

Social inequalities over the lifecourse and healthy ageing in Aotearoa/New Zealand: differences by Māori ethnicity and gender

Lifecourse approaches to healthy ageing recognise that health in older age is affected by long-term cumulative inequalities between socio-economic status (SES), gender and ethnicity groups, which begin in childhood. Combining longitudinal survey data with lifecourse history interviews from 729 older New Zealanders aged 61–81 (mean = 72, standard deviation = 4.5), we tested a lifecourse model of predictors of physical, mental and social health in older age. Latent growth curve and mediation analysis showed that the link between childhood SES and late-life health (over 10 years) was mediated by education, occupation and adult wealth. To account for the moderating effects of gender and ethnicity, we modelled the effects for sub-groups separately (225 non-Māori women, 158 Māori women, 219 non-Māori men and 127 Māori men). Childhood SES was an important predictor of later-life health, mediated by education and adult SES for all participants and for non-Māori men. However, there were significantly different pathways for Māori men and for women. Māori men and women and non-Māori women did not attain the same health benefits from higher childhood SES and education as non-Māori men. Findings point to the importance of considering the mediators of lifelong impacts on health in older age, and recognition of how membership of different socially structured groups produces different pathways to late-life health.

Intergenerational educational mobility and health satisfaction across the life course: Does the long arm of childhood conditions only become visible later in life?

The contemporaneous association of socioeconomic status (SES) with health is well-established, whereas much less is known about the health-related effects of social mobility (i.e., movements across different SES). This study investigates the impact of SES in childhood and adulthood on health satisfaction across the life course. Using data from the German Socio-Economic Panel (SOEP) and education as a central marker of SES, we test whether parental education (i.e., childhood SES) affects adult health satisfaction, directly and/or indirectly through own educational attainment (i.e., adult SES) as a mediating variable. Moreover, we apply diagonal reference models to disentangle the independent effect of intergenerational educational mobility. Our findings show that parental education has both direct and indirect effects. Yet, the relative weight of parents' education as a predictor of health satisfaction is found to depend on when in the life course health satisfaction is measured: parental education shows an increasing relevance as a predictor of health satisfaction at higher ages. On top of (additive) effects of parental and own education, we find significant mobility effects in earlier adulthood: upward educational mobility is conducive to health satisfaction and the reverse for downward educational mobility.

Is it possible to overcome the 'long arm' of childhood socioeconomic disadvantage through upward socioeconomic mobility?

OBJECTIVES

Socioeconomically disadvantaged children have worse adult health; we test if this 'long arm' of childhood disadvantage can be overcome through upward socioeconomic mobility in adulthood.

METHODS

Four SES trajectories (stable low, upwardly mobile, downwardly mobile and stable high) were created from median dichotomized childhood socioeconomic status (SES; childhood human and financial capital) and adult SES (wealth at age 67) from Health and Retirement Study respondents (N = 6669). Healthy ageing markers, in tertiles, were walking speed, peak expiratory flow (PEF), and grip strength measured in 2008 and 2010. Multinomial logistic regression models, weighted to be nationally representative, controlled for age, gender, race, birthplace, outcome year and childhood health and social capital.

RESULTS

Upwardly mobile individuals were as likely as the stable high SES group to be in the best health tertile for walking speed (OR = 0.81; 95% CI: 0.63, 1.05; P = 0.114), PEF (OR = 0.97; 95% CI: 0.78, 1.21; P = 0.810) and grip strength (OR = 0.97; 95%CI: 0.74, 1.27; P = 0.980).

DISCUSSION

Findings suggest the 'long arm' of childhood socioeconomic disadvantage can be overcome for these markers of healthy ageing through upward socioeconomic mobility.

Smoking and Physical Inactivity as Predictors of Mobility Impairment During Late Life: Exploring Differential Vulnerability Across Education Level in Sweden

Objectives

To test whether older adults from high and low educational groups are differentially vulnerable to the impact of smoking and physical inactivity on the progression of mobility impairment during old age.

Methods

A nationally representative sample of older Swedish adults (n = 1,311), aged 57-76 years at baseline (1991), were followed for up to 23 years (2014). Multilevel regression was used to estimate individual trajectories of mobility impairment over the study period and to test for differences in the progression of mobility impairment on the basis of smoking status, physical activity status, and level of education.

Results

Compared to nonsmokers, heavy smokers had higher levels and steeper increases in mobility impairment with advancing age. However, there were only small and statistically nonsignificant differences in the impact of heavy smoking on mobility impairment in high versus low education groups. A similar pattern of results was found for physical inactivity.

Discussion

Differential vulnerability to unhealthy behaviors may vary across populations, age, time-periods, and health outcomes. In this study of older adults in Sweden, low and high education groups did not differ significantly in their associations between heavy smoking or physical inactivity, and the progression of mobility impairment.

Comparing Observed and Unobserved Components of Childhood: Evidence From Finnish Register Data on Midlife Mortality From Siblings and Their Parents

In this study, we argue that the long arm of childhood that determines adult mortality should be thought of as comprising an observed part and its unobserved counterpart, reflecting the observed socioeconomic position of individuals and their parents and unobserved factors shared within a family. Our estimates of the observed and unobserved parts of the long arm of childhood are based on family-level variance in a survival analytic regression model, using siblings nested within families as the units of analysis. The study uses a sample of Finnish siblings born between 1936 and 1950 obtained from Finnish census data. Individuals are followed from ages 35 to 72. To explain familial influence on mortality, we use demographic background factors, the socioeconomic position of the parents, and the individuals' own socioeconomic position at age 35 as predictors of all-cause and cause-specific mortality. The observed part-demographic and socioeconomic factors, including region; number of siblings; native language; parents' education and occupation; and individuals' income, occupation, tenancy status, and education-accounts for between 10 % and 25 % of the total familial influence on mortality. The larger part of the influence of the family on mortality is not explained by observed individual and parental socioeconomic position or demographic background and thus remains an unobserved component of the arm of childhood. This component highlights the need to investigate the influence of childhood circumstances on adult mortality in a comprehensive framework, including demographic, social, behavioral, and genetic information from the family of origin.

Childhood socioeconomic position and physical capability in late-middle age in two birth cohorts from the Copenhagen aging and midlife biobank

This study examines the association between childhood socioeconomic position and objective physical capability including new functional measures of potential relevance to a population in late-middle age. The study population covers two Danish birth cohorts followed-up in the Copenhagen Aging and Midlife Biobank (age 48–58 years, 2009–2011, N = 4,204). Results from linear regression models revealed that being born in higher socioeconomic position was associated with higher jump height: Paternal occupational class four = 0.19 cm (95% confidence interval (CI): -0.44, 0.82), three = 0.59 cm (95% CI: -0.02, 1.19), two = 1.29 cm (95% CI: 0.64, 1.94), and one = 1.29 cm (95% CI: 0.45, 2.13) (reference = five); medium parental social class = 0.88 cm (95% CI: 0.03, 1.72) and high = 1.79 cm (95% CI: 0.94, 2.63) (reference = low). Higher childhood socioeconomic position was also associated with better chair rise performance and hand grip strength, while among women it was related to reduced flexibility: Medium parental social class = -1.31 cm (95% CI: -3.05, 0.42) and high = -2.20 cm (95% CI: -3.94, -0.47) (reference = low); unwed mother = 1.75 cm (95% CI: 0.36, 3.14) (reference = married). Overall, the findings suggest that higher childhood socioeconomic position is primarily related to moderately better scores in the most strenuous physical capability measures and hand grip strength among healthy adults in late-middle age.

Are neighbourhood inequalities in adult health explained by socio-economic and psychosocial determinants in adolescence and the subsequent life course in northern Sweden? A decomposition analysis

This study explains neighbourhood deprivation inequalities in adult health for a northern Swedish cohort by examining the contribution of socio-economic and psychosocial determinants from adolescence (age 16), young adulthood (age 21) and midlife (age 42) to the disparity. Self-reported information from 873 participants was drawn from questionnaires, with complementary neighbourhood register data. The concentration index was used to estimate the inequality while decomposition analyses were run to attribute the disparity to its underlying determinants. The results suggest that socio-economic and psychosocial factors in midlife explain a substantial part, but also that the inequality can originate from conditions in adolescence and young adulthood.

A cohort study of the effects of older adult care dependence upon household economic functioning, in Peru, Mexico and China

Background

While links between disability and poverty are well established, there have been few longitudinal studies to clarify direction of causality, particularly among older adults in low and middle income countries. We aimed to study the effect of care dependence among older adult residents on the economic functioning of their households, in catchment area survey sites in Peru, Mexico and China.

Methods

Households were classified from the evolution of the needs for care of older residents, over two previous community surveys, as ‘incident care’, ‘chronic care’ or ‘no care’, and followed up three years later to ascertain economic outcomes (household income, consumption, economic strain, satisfaction with economic circumstances, healthcare expenditure and residents giving up work or education to care).

Results

Household income did not differ between household groups. However, income from paid work (Pooled Count Ratio pCR 0.88, 95% CI 0.78–1.00) and government transfers (pCR 0.80, 95% CI 0.69–0.93) were lower in care households. Consumption was 12% lower in chronic care households (pCR 0.88, 95% CI 0.77–0.99). Household healthcare expenditure was higher (pCR 1.55, 95% CI 1.26–1.90), and catastrophic healthcare spending more common (pRR 1.64, 95% CI 1.64–2.22) in care households.

Conclusions

While endogeneity cannot be confidently excluded as an explanation for the findings, this study indicates that older people’s needs for care have a discernable impact on household economics, controlling for baseline indicators of long-term economic status. Although living, typically, in multigenerational family units, older people have not featured prominently in global health and development agendas. Population ageing will rapidly increase the number of households where older people live, and their societal significance. Building sustainable long-term care systems for the future will require some combination of improved income security in old age; incentivisation of informal care through compensation for direct and opportunity costs; and development of community care services to support, and, where necessary, supplement or substitute the central role of informal caregivers.

Children in nonparental care: health and social risks

Approximately 2.3 million children in the United States live separately from both parents; 70-90% of those children live with a relative. Compared with children living with one or both parents, children in nonparental care are in poorer health, are at heightened risk for experiencing disruptions and instability in caregiving, and are vulnerable to other social antecedents of child health (e.g., neglect, poverty, maltreatment). Given the significant impact of adversity in childhood on health across the lifespan, which is increased among children in nonparental care, it is informative to consider the health risks of children living in nonparental care specifically. Research examining the contributions of poverty, instability, child maltreatment, and living in nonparental care, including meta-analyses of existing studies, are warranted. Longitudinal studies describing pathways into and out of nonparental care and the course of health throughout those experiences are also needed. Despite these identified gaps, there is sufficient evidence to indicate that attention to household structure is not only relevant but also essential for the clinical care of children and may aid in identifying youth at risk for developing poor health across the lifespan.

Childhood living conditions, education and health among the oldest old in Sweden

The objectives were to investigate the associations between social and financial living conditions in childhood, education and morbidity in old age. The study population (N = 591; 76+ years old) was assembled from two nationally representative Swedish surveys, in 1968 and 2011, that together made longitudinal analysis possible. Morbidity in old age comprised self-reported measures of musculoskeletal disorders, cardiovascular disease, self-rated health and impaired mobility. There were no independent associations between adverse childhood living conditions and morbidity. However, adverse childhood living conditions were associated with an increased likelihood of low education. Moreover, low education was associated with a higher probability of health problems in old age. The results did not show any associations between adverse childhood conditions and late-life morbidity. However, adverse childhood conditions were associated with lower levels of education which, in turn, was associated with health problems and attrition from the study. These results suggest that adverse childhood conditions may indeed be associated with health and survival in old age, but mainly through mechanisms acting earlier in the lifecourse.