Genetic propensity to depression and the role of partnership status.

Social relationships and genetic propensity are known to affect depression risk, but their joint effects are poorly understood. This study examined the association of a polygenic index for depression with time to antidepressant (AD) purchasing and the moderating role of partnership status. We analysed data from 30,192 Finnish individuals who participated in the FINRISK and Health 2000 and 2011 surveys and had register and medication data available. We measured genetic risk with a polygenic index (PGI) for depression. Depression was assessed through antidepressant purchases. We estimated an accelerated failure time model with partnership status as time-varying and different sets of confounder adjustments. The predicted cumulative hazard of antidepressant purchasing varied across PGI and partnership status. At follow-up year 10, being widowed was associated with the largest cumulative hazard of 0.34 (95%CI: 0.28-0.39) in the 80th and 0.20 (95%CI: 0.17-0.23) in the 20th PGI percentile, followed by divorced, single, married and cohabiting. Cohabiting was associated with a cumulative hazard of 0.19 (95%CI: 0.16-0.23) in the 80th and 0.11 (95%CI: 0.1-0.13) in the 20th PGI percentile. We found no evidence for an interaction between the PGI and partnership status. Results were robust to different model specifications, gender stratification, and the choice of PGI. Although antidepressant purchasing correlated with both PGI and partnership status, we found no evidence that partnership status could partially offset or amplify the association between the PGI for depression and antidepressant purchasing incidence.

Fatherhood timing and men's midlife earnings: A within-family study of Finnish cohorts born in 1938-50.

Fathers tend to achieve higher earnings than childless men, but there is limited evidence on the associations between fatherhood timing and men's later earnings. Using a longitudinal census-based sample of Finnish men, including a subsample of brothers, we investigated fatherhood timing and men's midlife earnings using both between- and within-family models. Earnings around age 50 were lower among adolescent and young fathers than for men who became fathers at ages 25-29 or later, but these associations became negligible after accounting for measured confounders and unobserved familial confounding. Overall, our findings highlight the important roles of selection into early childbearing and into childlessness. At the population level, early fatherhood was associated with clear negative distributional shifts in fathers' midlife earnings. However, among all men, any influence of fatherhood timing on men's midlife earnings distribution paled in comparison with that of childlessness.

Changes in Chlamydia trachomatis risk before and after union formation and separation among women of reproductive age.

BACKGROUND: Not having an established relationship is associated with an elevated risk of Chlamydia trachomatis (CT) infection, but this might reflect selection into and out of unions. Although union formation and union separation are common events in reproductive age, little is known about changes in CT risk before and after these transitions. METHODS: We linked Finnish Population Register data to the National Register of Infectious Diseases and used fixed-effects linear probability models that account for all time-invariant confounders to examine changes in women's 6-month CT risk 3 years before and 3 years after entry into first cohabitation (n = 293 554), non-marital separation (n = 201 647) or marital separation (n = 92 232) during 2005-14. RESULTS: From 3 years to 1 year before first union formation, the 6-month risk of CT increased slightly, peaking at 1.27% immediately prior to union formation (95% confidence interval 1.22-1.31). It declined sharply following union formation, being only 0.40% (0.34-0.46) 6-12 months after union formation with little changes thereafter. Among women separating from non-marital unions, the risk increased from 0.50% (0.42-0.57) to 1.45% (1.40-1.49) around the time of separation and decreased following separation. The pattern of findings was relatively similar for marital separation, although the observed risks and changes were smaller in magnitude. CONCLUSIONS: Our results based on longitudinal data and individual fixed-effects models indicate that the period immediately after separation may be causally associated with an elevated risk of CT. This suggests that recently separated women should be identified as a high-risk group for CT.

One generation apart: Individual income and life expectancy in two Swedish cohorts born before and after the expansion of the welfare state.

AIMS: Social inequalities in mortality persist or even increase in high-income countries. Most evidence is based on a period approach to measuring mortality - that is, data from individuals born decades apart. A cohort approach, however, provides complementary insights using data from individuals who grow up and age under similar social and institutional arrangements. This study compares income inequalities in cohort life expectancy in two Swedish cohorts, one born before and one born after the expansion of the welfare state. METHODS: Data on individuals born in Sweden in 1922-1926 and 1951-1955 were obtained from total population registries. These data were linked to individual disposable income from 1970 and 1999 and mortality between 50 and 61 years of age in 1972-1987 and 2001-2016, respectively. We calculated cohort temporary life expectancies in the two cohorts by income and gender. RESULTS: Life expectancy, income, and income inequalities in life expectancy increased between the two cohorts, for both men and women. Women born in 1922-1926 had modest income differences in life expectancy, but pronounced differences emerged in the cohort born in 1951-1955. Men with low incomes born in 1951-1955 had roughly similar life expectancy as those with low incomes born in 1922-1926. CONCLUSIONS: Compared with a period approach to life expectancy trends, the cohort approach highlights the stagnation of mortality at the lowest income groups for men and the rapid emergence of a mortality gradient for women. Future research on health inequalities in welfare states should consider underlying factors both from a cohort and period perspective.

Trends in Life Expectancy in Residential Long-Term Care by Sociodemographic Position in 1999-2018: A Multistate Life Table Study of Finnish Older Adults.

OBJECTIVES: Residential long-term care (LTC) use has declined in many countries over the past years. This study quantifies how changing rates of entry, exit, and mortality have contributed to trends in life expectancy in LTC (i.e., average time spent in LTC after age 65) across sociodemographic groups. METHODS: We analyzed population-register data of all Finns aged ≥65 during 1999-2018 (n=2,016,987) with dates of LTC and death, and sociodemographic characteristics. We estimated transition rates between home, LTC and death using Poisson generalized additive models, and calculated multistate life tables across 1999-2003, 2004-2008, 2009-2013 and 2014-2018. RESULTS: Between 1999-2003 and 2004-2008, life expectancy in LTC increased from 0.75 (95% CI 0.74-0.76) to 0.89 (0.88-0.90) years among men and from 1.61 (1.59-1.62) to 1.83 (1.81-1.85) years among women, mainly due to declining exit rates from LTC. Thereafter, life expectancy in LTC decreased, reaching 0.80 (0.79-0.81) and 1.51 (1.50-1.53) years among men and women, respectively, in 2014-2018. Especially among women and non-married men, the decline was largely due to increasing death rates in LTC. Admission rates declined throughout the study period, which offset the increase in life expectancy in LTC attributable to declining mortality in the community. Marital status differences in life expectancy in LTC narrowed over time. DISCUSSION: Recent declines in LTC use were driven by postponed LTC admission closer to death. The results suggest that across sociodemographic strata older adults enter LTC in ever worse health and spent a shorter time in care than before.

Adolescent Psychiatric Inpatient Episodes and Subsequent Labor Market Trajectories.

PURPOSE: Adolescents with psychiatric disorders are known to be more often not in education, employment, or training (NEET) in young adulthood than their peers. However, since most of the available evidence is based on cross-sectional measurement of NEET, there is less evidence on the processes underlying these differences in labor market disadvantage. We assessed these processes by examining transitions between NEET and non-NEET states across young adulthood and the differences in these transitions by adolescent psychiatric inpatient treatment. METHODS: We used longitudinal register data on all individuals born in Finland in 1980-1984 (N = 315,508) to identify psychiatric inpatient episodes between ages 10 and 19 and NEET between ages 20 and 34. We modeled the transitions between NEET and non-NEET states and the impact of psychiatric disorders on these transitions with multistate models. RESULTS: Individuals who had psychiatric inpatient episodes in adolescence started their labor market careers as NEET twice as often as their peers. They were also more likely to transition into NEET states and less likely to transition out of NEET. In total, individuals with a history of psychiatric episodes spent from 1.8 to 6.9 more years as NEET between the ages 20 and 34 than their peers, depending on sex, baseline NEET, and diagnostic group. DISCUSSION: Adolescents with severe psychiatric disorders are highly vulnerable in terms of labor market outcomes throughout their early adulthood. Supportive measures are required both at the start of employment trajectories and during later career stages.

Excess winter mortality in Finland, 1971-2019: a register-based study on long-term trends and effect modification by sociodemographic characteristics and pre-existing health conditions.

OBJECTIVES: Excess winter mortality is a well-established phenomenon across the developed world. However, whether individual-level factors increase vulnerability to the effects of winter remains inadequately examined. Our aim was to assess long-term trends in excess winter mortality in Finland and estimate the modifying effect of sociodemographic and health characteristics on the risk of winter death. DESIGN: Nationwide register study. SETTING: Finland. PARTICIPANTS: Population aged 60 years and over, resident in Finland, 1971-2019. OUTCOME MEASURES: Age-adjusted winter and non-winter death rates, and winter-to-non-winter rate ratios and relative risks (multiplicative interaction effects between winter and modifying characteristics). RESULTS: We found a decreasing trend in the relative winter excess mortality over five decades and a drop in the series around 2000. During 2000-2019, winter mortality rates for men and women were 11% and 14% higher than expected based on non-winter rates. The relative risk of winter death increased with age but did not vary by income. Compared with those living with at least one other person, individuals in institutions had a higher relative risk (1.07, 95% CI 1.05 to 1.08). Most pre-existing health conditions did not predict winter death, but persons with dementia emerged at greater relative risk (1.06, 95% CI 1.04 to 1.07). CONCLUSIONS: Although winter mortality seems to affect frail people more strongly-those of advanced age, living in institutions and with dementia-there is an increased risk even beyond the more vulnerable groups. Protection of high-risk groups should be complemented with population-level preventive measures.

Neurological conditions and subsequent divorce risk in the Nordic countries: the importance of gender and both spouses' education.

BACKGROUND: Prior studies suggest that poor physical health, accompanied by functional disability, is associated with increased divorce risk. However, this association may depend on gender, the socioeconomic resources of the couple, as well as the social policy and social (in)equality context in which the illness is experienced. This study focuses on neurological conditions, which often have substantial functional consequences. METHODS: We used longitudinal population-wide register data from the years 2007-2016 (Denmark, Sweden) or 2008-2017 (Finland, Norway) to follow 2 809 209 married couples aged 30-64 for neurological conditions, identified using information on specialised healthcare for diseases of the nervous system and subsequent divorce. Cox regression models were estimated in each country, and meta-analysis used to calculate across-country estimates. RESULTS: During the 10-year follow-up period, 22.2% of couples experienced neurological conditions and 12.0% of marriages ended in divorce. In all countries, divorce risk was elevated among couples where at least one spouse had a neurological condition, and especially so if both spouses were ill. The divorce risk was either larger or similar for husband's illness, compared with wife's illness, in all educational categories. For the countries pooled, the weighted average HR was 1.21 (95% CI 1.20 to 1.23) for wives' illness, 1.27 (95% CI 1.25 to 1.29) for husbands' illness and 1.38 (95% CI 1.34 to 1.42) for couples where both spouses were ill. CONCLUSIONS: Despite some variation by educational resources and country context, the results suggest that the social consequences of illness are noticeable even in Nordic welfare states, with the husband's illness being at least as important as the wife's.

Grandparental support and maternal depression: Do grandparents' characteristics matter more for separating mothers?

Grandparental support may protect mothers from depression, particularly mothers who separate and enter single parenthood. Using longitudinal Finnish register data on 116,917 separating and 371,703 non-separating mothers with young children, we examined differences in mothers' antidepressant purchases by grandparental characteristics related to provision of support. Grandparents' younger age (<70 years), employment, and lack of severe health problems predicted a lower probability of maternal depression. Depression was also less common if grandparents lived close to the mother and if the maternal grandparents' union was intact. Differences in maternal depression by grandparental characteristics were larger among separating than among non-separating mothers, particularly during the years before separation. Overall, maternal grandmothers' characteristics appeared to matter most, while the role of paternal grandparents was smaller. The findings suggest that grandparental characteristics associated with increased potential for providing support and decreased need of receiving support predict a lower likelihood of maternal depression, particularly among separating mothers.

Does having siblings really protect against childhood atopic diseases? A total population and within-family analysis.

The association between having older siblings and decreased risk for atopic symptoms is well-established. This has been interpreted as evidence for the microbiota hypothesis, i.e. that increased early-childhood microbial exposure caused by siblings protects from immune hypersensitivities. However, possible confounders of the association have received little attention. We used register data on Finnish cohorts born in 1995-2004 (N = 559,077) to assess medication purchases for atopic diseases: antihistamines, eczema medication, asthma medication and Epinephrine. We modelled the probability of atopic medication purchases at ages 0-15 by birth order controlling for important observed confounders and all unobserved genetic and environmental characteristics shared by siblings in a within-family fixed effects model. We further studied medication purchases among first-borns according to the age difference with younger siblings to assess whether having younger siblings in early childhood is beneficial. Having older siblings was associated with a lower probability of atopic medication purchases. Compared to first-borns, the probability was 10-20% lower among second-borns, 20-40% lower among third-borns, and 30-70% lower among subsequent children, depending on medication type. Confounding accounted for up to 75% of these differences, particularly for asthma and eczema medication, but significant differences by birth order remained across all medication types. Among first-borns, a smaller age difference with younger siblings was related to a lower likelihood of atopic medication use. Our results, based on designs that account for unobserved confounding, show that exposure to siblings in early childhood, protects from atopic diseases, and thus strongly support the microbiota hypothesis.

Trajectories of antidepressant use before and after union dissolution and re-partnering in later life: a prospective total population register-based cohort study.

BACKGROUND: Grey divorce and later remarriage have become increasingly common in high-income countries, but previous evidence on their impacts on mental health is scarce. Even less is known about the effects of non-marital separation and re-partnering in later life. METHODS: Using Finnish registry data from 1996 to 2018 on 228 644 individuals aged 50-70 in 2000-2014, trajectories of antidepressant (AD) use 4 years before and 4 years after divorce, non-marital separation, bereavement and subsequent re-partnering were examined using individual fixed-effects (FE) linear probability models. RESULTS: In adjusted FE models, for both genders AD use increased during the 4 years before divorce (men: 5.00 percentage points (95% CI 4.50 to 5.50); women: 6.96 (95% CI 6.34 to 7.59)), non-marital separation (men: 3.20 (95% CI 2.72 to 3.69); women: 5.98 (95% CI 5.30 to 6.66)) and bereavement (men: 4.53 (95% CI 3.97 to 5.09); women: 5.64 (95% CI 5.25 to 6.04)), with the increase accelerating immediately before the event. AD use gradually declined after union dissolution, after which it stabilised on a persistently higher level compared with pre-dissolution. Re-partnering was only associated with a small and transitory reduction in AD use (0.1-1.5 percentage points). The increases in AD use associated with union dissolution were larger in women than in men, whereas the small reductions in AD use associated with re-partnering were particularly short-lived among women. CONCLUSIONS: Our results suggest that union dissolution in later life is associated with large and persistent increases in AD use, whereas the reductions associated with re-partnering are limited both in magnitude and duration.

Contribution of causes of death to changing inequalities in life expectancy by income in Finland, 1997-2020.

BACKGROUND: Socioeconomic inequalities in mortality originate from different causes of death. Alcohol-related and smoking-related deaths are major drivers of mortality inequalities across Europe. In Finland, the turn from widening to narrowing mortality disparities by income in the early 2010s was largely attributable to these causes of death. However, little is known about recent inequalities in life expectancy (LE) and lifespan variation. METHODS: We used individual-level total population register-based data with annual information on disposable household income and cause-specific mortality for ages 30-95+, and assessed the contribution of smoking on mortality using the Preston-Glei-Wilmoth method. We calculated trends in LE at age 30 and SD in lifespan by income quintile in 1997-2020 and conducted age and cause-of-death decompositions of changes in LE. RESULTS: Disparity in LE and lifespan variation by income increased in 2015-2020, largely attributable to the stagnation of both measures in the lowest income quintile. The LE gap between the extreme quintiles in 2018-2020 was 11.2 (men) and 5.9 (women) years, of which roughly 40% was attributable to alcohol and smoking. However, the recent widening of the gap and the stagnation in LE in the lowest quintile over time were not driven by any specific cause-of-death group. CONCLUSIONS: After a decade of narrowing inequalities in LE and lifespan variation in Finland, the gaps between income groups are growing again. Increasing LE disparity and stagnating mortality on the lowest income levels are no longer attributable to smoking and alcohol-related deaths but are more comprehensive, originating from most cause-of-death groups.

Socio-economic differences in body mass index: the contribution of genetic factors.

BACKGROUND: Higher mean body mass index (BMI) among lower socioeconomic position (SEP) groups is well established in Western societies, but the influence of genetic factors on these differences is not well characterized. METHODS: We analyzed these associations using Finnish health surveys conducted between 1992 and 2017 (N = 33 523; 53% women) with information on measured weight and height, polygenic risk scores of BMI (PGS-BMI) and linked data from administrative registers to measure educational attainment, occupation-based social class and personal income. RESULTS: In linear regressions, largest adjusted BMI differences were found between basic and tertiary educated men (1.4 kg/m2, 95% confidence interval [CI] 1.2; 1.6) and women (2.5 kg/m2, 95% CI 2.3; 2.8), and inverse BMI gradients were also found for social class and income. These SEP differences arose partly because mean PGS-BMI was higher and partly because PGS-BMI predicted BMI more strongly in lower SEP groups. The inverse SEP gradients of BMI were steeper in women than in men, but sex differences were not found in the genetic contributions to these differences. CONCLUSIONS: Better understanding of the interplay between genes and environment provides insight into the mechanisms explaining SEP differences in BMI.

The impact of estimation methods for alcohol-attributable mortality on long-term trends for the general population and by educational level in Finland and Italy (Turin).

BACKGROUND AND AIMS: This paper assesses the impact of estimation methods for general and education-specific trends in alcohol-attributable mortality (AAM), and develops an alternative method that can be used when the data available for study is limited. METHODS: We calculated yearly adult (30+) age-standardised and age-specific AAM rates by sex for the general population and by educational level (low, middle, high) in Finland and Turin (Italy) from 1972 to 2017. Furthermore the slope index of inequality and relative inequality index were computed by country and sex. We compared trends, levels, age distributions, and educational inequalities in AAM according to three existing estimation methods: (1) Underlying COD (UCOD), (2) Multiple COD (MCOD) method, and (3) the population attributable fractions (PAF)-method. An alternative method is developed based on the pros and cons of these methods and the outcomes of the comparison. RESULTS: The UCOD and MCOD approaches revealed mainly increasing trends in AAM compared to the declining trends according to the PAF approach. These differences are more pronounced when examining AAM trends by educational groups, particularly for Finnish men. Until age 65, age patterns are similar for all methods, and levels nearly identical for MCOD and PAF in Finland. Our novel method assumes a similar trend and age pattern as observed in UCOD, but adjusts its level upwards so that it matches the level of the PAF approach for ages 30-64. Our new method yields levels in-between UCOD and PAF for Turin (Italy), and resembles the MCOD rates in Finland for females. Relative inequalities deviate for the PAF-method (lower levels) compared to other methods, whereas absolute inequalities are generally lower for UCOD than all three methods that combine wholly and partly AAM. CONCLUSIONS: The choice of method to estimate AAM affects not only levels, but also general and education-specific trends and inequalities. Our newly developed method constitutes a better alternative for multiple-country studies by educational level than the currently used UCOD-method when the data available for study is limited to underlying causes of death.

Offspring hospitalization for substance use and changes in parental mental health: A Finnish register-based study.

Prior research indicates that parental psychiatric disorders increase their offspring's risk of substance use problems. Though the association is likely bidirectional, the effects of an adult child's substance use on parental mental health remain understudied. We examined parents' psychotropic medication use trajectories by parental sex and educational attainment before and after a child's alcohol- or narcotics-attributable hospitalization. We identified Finnish residents, born 1979-1988, with a first hospitalization for substance use during emerging adulthood (ages 18-29, n = 12,851). Their biological mothers (n = 12,283) and/or fathers (n = 10,765) were followed for the two years before and after the hospitalization. Psychotropic medication use was measured in three-month periods centered around the time of child's hospitalization, and the probability of psychotropic medication use at each time point was assessed using generalized estimating equations logit models. Among mothers, the prevalence of psychotropic medication use increased during the year before, peaked during the 0-3 months after hospitalization, and remained at a similarly elevated level until the end of follow-up. The prevalence among fathers increased gradually and linearly across follow-up, with minimal changes evident either directly before or after the hospitalization. Parents' educational attainment did not modify these trajectories. Our results highlight the importance of considering linked lives when quantifying substance use-attributable harms and underscore the need for future research examining the intergenerational spillover effects of substance use in both directions, particularly in mother-child dyads.

Maternal psychiatric and somatic illness, and the risk of unintentional injuries in children: variation by type of maternal illness, type of injury and child age.

BACKGROUND: Maternal mental illness appears to increase the risk of unintentional childhood injuries, which are a common cause of morbidity and mortality in early childhood. However, little is known about the variations in this association by type of injury and child's age, and studies on the effects of maternal somatic illness on children's injury risk are scarce. METHODS: We used Finnish total population register data from 2000 to 2017 to link 1 369 325 children to their biological mothers and followed them for maternal illness and childhood injuries until the children's sixth birthday. Cox regression models were used to examine the associations between maternal illness and children's injuries by type of illness (neurological, psychiatric and cancer), type of injury (transport injuries, falls, burns, drowning or suffocations, poisonings, exposure to inanimate and animate mechanical forces) and child's age (<1 year-olds, 1-2 year-olds, 3-5 year-olds). RESULTS: After adjustment for family structure, maternal age at birth, maternal education, income, child's gender, native language and region of residence, children of unwell mothers showed a higher risk of injuries (HR: 1.21, 95% CI: 1.19 to 1.23). This association was clear for maternal neurological (HR: 1.31, 95% CI: 1.26 to 1.36) and psychiatric illnesses (HR: 1.20, 95% CI: 1.18 to 1.23) but inconsistent for cancer. Maternal illness predicted an increased risk of injury across all age groups. CONCLUSIONS: Maternal mental and somatic illness may both increase children's injury risk. Adequate social and parenting support for families with maternal illness may reduce childhood injury.

Association between perinatal mortality and morbidity and customised and non-customised birthweight centiles in Denmark, Finland, Norway, Wales, and England: comparative, population based, record linkage study.

Objectives: To compare the risk of adverse perinatal outcomes according to infants who are born small for gestational age (SGA; <10th centile) or large for gestational age (LGA; >90th centile), as defined by birthweight centiles that are non-customised (ie, standardised by sex and gestational age only) and customised (by sex, gestational age, maternal weight, height, parity, and ethnic group). Design: Comparative, population based, record linkage study with meta-analysis of results. Setting: Denmark, Finland, Norway, Wales, and England (city of Bradford), 1986-2019. Participants: 2 129 782 infants born at term in birth registries. Main outcome measures: Stillbirth, neonatal death, infant death, admission to neonatal intensive care unit, and low Apgar score (<7) at 5 minutes. Results: Relative to those infants born average for gestational age (AGA), both SGA and LGA births were at increased risk of all five outcomes, but observed relative risks were similar irrespective of whether non-customised or customised charts were used. For example, for SGA versus AGA births, when non-customised and customised charts were used, relative risks pooled over countries were 3.60 (95% confidence interval 3.29 to 3.93) versus 3.58 (3.02 to 4.24) for stillbirth, 2.83 (2.18 to 3.67) versus 3.32 (2.05 to 5.36) for neonatal death, 2.82 (2.07 to 3.83) versus 3.17 (2.20 to 4.56) for infant death, 1.66 (1.49 to 1.86) versus 1.54 (1.30 to 1.81) for low Apgar score at 5 minutes, and (based on Bradford data only) 1.97 (1.74 to 2.22) versus 1.94 (1.70 to 2.21) for admission to the neonatal intensive care unit. The estimated sensitivity of combined SGA or LGA births to identify the three mortality outcomes ranged from 31% to 34% for non-customised charts and from 34% to 38% for customised charts, with a specificity of 82% and 80% with non-customised and customised charts, respectively. Conclusions: These results suggest an increased risk of adverse perinatal outcomes of a similar magnitude among SGA or LGA term infants when customised and non-customised centiles are used. Use of customised charts for SGA/LGA births-over and above use of non-customised charts for SGA/LGA births-is unlikely to provide benefits in terms of identifying term births at risk of these outcomes.

Life Course Socioeconomic Position and Cognitive Aging Trajectories: A Cross-National Cohort Study in China and England.

Background and Objectives: Cross-national research on cognitive aging inequality has largely concentrated on Western countries. It is unclear whether socioeconomic position (SEP) has similar effects on cognitive decline in emerging economies. We compared the association between life course SEP and cognitive function trajectories between China and England, the largest nation under state socialism and one of the oldest capitalist countries. Research Design and Methods: This cross-cohort study examined participants aged 50 years and older from the China Health and Retirement Longitudinal Study (n = 12,832) and the English Longitudinal Study of aging (n = 8,875). Cognition z-scores were derived using comparable measures of memory and time orientation on 4 occasions. Life course SEP was self-reported by participants at baseline. Seven- to 8-year trajectories of cognition z-scores were estimated using latent growth curve modeling. Country- and gender-specific associations between childhood/adolescent deprivation, education, material wealth, and home ownership were evaluated in relation to model intercept (baseline level) and linear slope (annual rate of change) of cognition. Results: After multivariable adjustment, education was positively associated with the greatest differences in baseline cognition across country and gender. Education was further linked to a slower rate of cognitive decline (z-score units per year); but compared with those with low education, Chinese men (b = 0.032) and women (b = 0.065) with high education had significantly slower declines than English men (b = -0.004) and women (b = 0.010) with high education. Discussion and Implications: Despite substantial between-cohort differences in downstream and upstream determinants of dementia, education provided the greatest benefits to cognitive aging in England but particularly in China.

Polygenic Prediction of Education and Its Role in the Intergenerational Transmission of Education: Cohort Changes Among Finnish Men and Women Born in 1925-1989.

Major changes in the educational distribution of the population and in institutions over the past century have affected the societal barriers to educational attainment. These changes can possibly result in stronger genetic associations. Using genetically informed, population-representative Finnish surveys linked to administrative registers, we investigated the polygenic associations and intergenerational transmission of education for those born between 1925 and 1989. First, we found that a polygenic index (PGI) designed to capture genetic predisposition to education strongly increased the predictiveness of educational attainment in pre-1950s cohorts, particularly among women. When decomposing the total contribution of PGI across different educational transitions, the transition between the basic and academic secondary tracks was the most important. This transition accounted for 60-80% of the total PGI-education association among most cohorts. The transition between academic secondary and higher tertiary levels increased its contribution across cohorts. Second, for cohorts born between 1955 and 1984, we observed that one eighth of the association between parental and one's own education is explained by the PGI. There was also an increase in the intergenerational correlation of education among these cohorts, which was partly explained by an increasing association between family education of origin and the PGI.