Own depression, partner's depression, and childlessness: A nationwide register-based study.

Depression and other mental health disorders are increasing while childlessness is increasing. However, this relationship has rarely been studied. We examine how depression, as measured by antidepressant use, is related to childlessness. We add to the previous research by examining both the role of current partnership status and having a partner with depression as a mechanism. We use Finnish total population register data for cohorts born in 1977-1980. We estimate discrete time event history models for the likelihood of having a child with average marginal effects separately for men and women. Depression was measured annually with a time-varying indicator of having at least one purchase of antidepressants in the preceding year. We find a positive association between depression and childlessness; the annual probability of having a child was 2.7 percentage points lower for women with depression and 1.6 percentage points for men with depression in age-controlled models. When controlling for all background variables such as education, the likelihood of having a child was 1.9 percentage points lower for women with depression and 0.3 percentage points lower for men with depression. In total, 41% of men and 26% of women who had used antidepressant medication between ages 18-38 remained childless at age 39, compared to 30% of men and 22% of women who had not used antidepressant medication. We also find that a partner's depression increases the probability of being childless, and the likelihood of being childless is even higher if both an individual and their partner had depression.

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 (95% CI: 0.88-0.90) years among men and from 1.61 (95% CI: 1.59-1.62) to 1.83 (95% CI: 1.81-1.85) years among women, mainly due to declining exit rates from LTC. Thereafter, life expectancy in LTC decreased, reaching 0.80 (95% CI: 0.79-0.81) and 1.51 (95% CI: 1.50-1.53) years among men and women, respectively, in 2014-2018. Especially among women and nonmarried 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 even worse health and spend a shorter time in care than before.

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.

Association between genetic risk of alcohol consumption and alcohol-related morbidity and mortality under different alcohol policy conditions: Evidence from the Finnish alcohol price reduction of 2004.

AIMS: Harmful alcohol consumption is influenced by both genetic susceptibility and the price of alcohol. Many previous studies have observed that genetic susceptibility to consumption of alcohol is more predictive in less restrictive drinking conditions. We assess whether such a pattern applies when the prices of alcoholic beverages are decreased. DESIGN: Data consist of genetically informed population-representative surveys (FINRISK 1992, 1997, 2002 and Health 2000) linked to administrative registers. We analysed the interaction between a polygenic score (PGS) for alcoholic drinks per week consumed and price reduction in predicting the incidence of alcohol-related hospitalizations and deaths in difference-in-difference and interrupted time-series frameworks. SETTING: Individuals in Finland were followed quarter-yearly from 1 March 2000 to 31 May 2008. PARTICIPANTS: A total of 22 152 individuals (607 132-person quarter-years, 1399 outcome events) aged 30-79 years. INTERVENTION: A natural experiment stemming from the alcohol tax reduction in March 2004 and import deregulation in May 2004. MEASUREMENTS: Outcome was quarter-yearly-measured alcohol-related death or hospitalization. The independent variables of main interest were PGS and a price reform indicator. We adjusted for gender, age, age squared, season, 10 first principal components of the genome, data collection round and genotyping batch. FINDINGS: Both alcohol price reduction and one standard deviation change in PGS were associated with alcohol-related health outcomes; odds ratios (ORs) were 1.32, 95% confidence interval (CI) = 1.13, 1.53 and 1.26, 95% CI = 1.12, 1.42 in the 8-year follow-up, respectively. The association between PGS and alcohol-related morbidity was similar before and after the alcohol price reform (PGS × price reform interaction OR = 0.96, 95% CI = 0.81, 1.14). These results were robust across different follow-up periods and measurement and analysis strategies. CONCLUSIONS: Although the decrease of alcohol price in Finland in 2004 substantially increased overall alcohol-related morbidity and mortality, the genetic susceptibility to alcohol consumption did not become more manifest in predicting them.

Income differences in COVID-19 incidence and severity in Finland among people with foreign and native background: A population-based cohort study of individuals nested within households.

BACKGROUND: Although intrahousehold transmission is a key source of Coronavirus Disease 2019 (COVID-19) infections, studies to date have not analysed socioeconomic risk factors on the household level or household clustering of severe COVID-19. We quantify household income differences and household clustering of COVID-19 incidence and severity. METHODS AND FINDINGS: We used register-based cohort data with individual-level linkage across various administrative registers for the total Finnish population living in working-age private households (N = 4,315,342). Incident COVID-19 cases (N = 38,467) were identified from the National Infectious Diseases Register from 1 July 2020 to 22 February 2021. Severe cases (N = 625) were defined as having at least 3 consecutive days of inpatient care with a COVID-19 diagnosis and identified from the Care Register for Health Care between 1 July 2020 and 31 December 2020. We used 2-level logistic regression with individuals nested within households to estimate COVID-19 incidence and case severity among those infected. Adjusted for age, sex, and regional characteristics, the incidence of COVID-19 was higher (odds ratio [OR] 1.67, 95% CI 1.58 to 1.77, p < 0.001, 28.4% of infections) among individuals in the lowest household income quintile than among those in the highest quintile (18.9%). The difference attenuated (OR 1.23, 1.16 to 1.30, p < 0.001) when controlling for foreign background but not when controlling for other household-level risk factors. In fact, we found a clear income gradient in incidence only among people with foreign background but none among those with native background. The odds of severe illness among those infected were also higher in the lowest income quintile (OR 1.97, 1.52 to 2.56, p < 0.001, 28.0% versus 21.6% in the highest quintile), but this difference was fully attenuated (OR 1.08, 0.77 to 1.52, p = 0.64) when controlling for other individual-level risk factors-comorbidities, occupational status, and foreign background. Both incidence and severity were strongly clustered within households: Around 77% of the variation in incidence and 20% in severity were attributable to differences between households. The main limitation of our study was that the test uptake for COVID-19 may have differed between population subgroups. CONCLUSIONS: Low household income appears to be a strong risk factor for both COVID-19 incidence and case severity, but the income differences are largely driven by having foreign background. The strong household clustering of incidence and severity highlights the importance of household context in the prevention and mitigation of COVID-19 outcomes.

The contribution of alcohol-related deaths to the life-expectancy gap between people with and without depression - a cross-country comparison.

BACKGROUND: Alcohol-related deaths may be among the most important reasons for the shorter life expectancy of people with depression, yet no study has quantified their contribution. We quantify the contribution of alcohol-related deaths to the life-expectancy gap in depression in four European countries with differing levels of alcohol-related mortality. METHODS: We used cohort data linking population registers with health-care and death records from Denmark, Finland, Sweden and Turin, Italy, in 1993-2007 (210,412,097 person years, 3046,754 deaths). We identified psychiatric inpatients with depression from hospital discharge registers in Denmark, Finland, and Sweden and outpatients with antidepressant prescriptions from prescription registers in Finland and Turin. We assessed alcohol-related and non-alcohol-related deaths using both underlying and contributory causes of death, stratified by sex, age and depression status. We quantified the contribution of alcohol-related deaths by cause-of-death decomposition of the life-expectancy gap at age 25 between people with and without depression. RESULTS: The gap in life expectancy was 13.1-18.6 years between people with and without inpatient treatment for depression and 6.7-9.1 years between those with and without antidepressant treatment. The contribution of alcohol-related deaths to the life-expectancy gap was larger in Denmark (33.6%) and Finland (18.1-30.5%) - i.e., countries with high overall alcohol-related mortality - than in Sweden (11.9%) and Turin (3.2%), and larger among men in all countries. The life-expectancy gap due to other than alcohol-related deaths varied little across countries. CONCLUSIONS: Alcohol contributes heavily to the lower life expectancy in depression particularly among men and in countries with high overall alcohol-related mortality.

Current Unemployment, Unemployment History, and Mental Health: A Fixed-Effects Model Approach.

Poor mental health among the unemployed-the long-term unemployed in particular-is established, but these associations may be driven by confounding from unobserved, time-invariant characteristics such as past experiences and personality. Using longitudinal register data on 2,720,431 residents aged 30-60 years, we assessed how current unemployment and unemployment history predict visits to specialized care due to psychiatric conditions and self-harm in Finland in 2008-2018. We used linear ordinary-least-squares and fixed-effects models. Prior to adjusting for time-invariant characteristics, current unemployment was associated with poor mental health, and the risk increased with longer unemployment histories. Accounting for all time-invariant characteristics with the fixed-effects models, these associations attenuated by approximately 70%, yet current unemployment was still associated with a 0.51 (95% confidence interval: 0.48, 0.53) percentage-point increase in the probability of poor mental health among men and women. Longer unemployment histories increased the probability among men in their 30s but not among older men or among women. The results indicate that selection by stable characteristics may explain a major part of the worse mental health among the unemployed and especially the long-term unemployed. However, even when controlling for this selection, current unemployment remains associated with mental health.

Health-related selection into employment among the unemployed.

BACKGROUND: Successful transitions from unemployment to employment are an important concern, yet little is known about health-related selection into employment. We assessed the association of various physical and psychiatric conditions with finding employment, and employment stability. METHODS: Using total population register data, we followed Finnish residents aged 30-60 with an unemployment spell during 2009-2018 (n = 814,085) for two years from the onset of unemployment. We predicted any, stable, and unstable employment by health status using Cox proportional hazards models. The data on specialized health care and prescription reimbursement were used to identify any alcohol-related conditions and poisonings, psychiatric conditions and self-harm, injuries, and physical conditions. We further separated physical conditions into cancer, diabetes, heart disease, and neurological conditions, and psychiatric conditions into depression, anxiety disorders and substance use disorders. RESULTS: The likelihood of any employment was lower among those who had any of the assessed health conditions. It was lowest among those with alcohol-related or psychiatric conditions with an age-adjusted hazard ratio of 0.45 (95% confidence interval 0.44, 0.46) among men and 0.39 (0.38, 0.41) among women for alcohol-related and 0.64 (0.63, 0.65) and 0.66 (0.65, 0.67) for psychiatric conditions, respectively. These results were not driven by differences in socioeconomic characteristics or comorbidities. All the included conditions were detrimental to both stable and unstable employment, however alcohol-related and psychiatric conditions were more harmful for stable than for unstable employment. CONCLUSIONS: The prospects of the unemployed finding employment are reduced by poor health, particularly alcohol-related and psychiatric conditions. These two conditions may also lead to unstable career trajectories. The selection process contributes to the health differentials between employed and unemployed people. Unemployed people with health problems may therefore need additional support to improve their chances of employment.

Contributions of specific causes of death by age to the shorter life expectancy in depression: a register-based observational study from Denmark, Finland, Sweden and Italy.

BACKGROUND: The reasons for the shorter life expectancy of people with depression may vary by age. We quantified the contributions of specific causes of death by age to the life-expectancy gap in four European countries. METHODS: Using register-based cohort data, we calculated annual mortality rates in between 1993 and 2007 for psychiatric inpatients with depression identified from hospital-care registers in Denmark, Finland and Sweden, and between 2000 and 2007 for antidepressant-treated outpatients identified from medication registers in Finland and Turin, Italy. We decomposed the life-expectancy gap at age 15 years by age and cause of death. RESULTS: The life-expectancy gap was especially large for psychiatric inpatients (12.1 to 21.0 years) but substantial also for antidepressant-treated outpatients (6.3 to 14.2 years). Among psychiatric inpatients, the gap was largely attributable to unnatural deaths below age 55 years. The overall contribution was largest for suicide in Sweden (43 to 45%) and Finland (37 to 40%). In Denmark, 'other diseases' (25 to 34%) and alcohol-attributable causes (10 to 18%) had especially large contributions. Among antidepressant-treated outpatients, largest contributions were observed for suicide (18% for men) and circulatory deaths (23% for women) in Finland, and cancer deaths in Turin (29 to 36%). Natural deaths were concentrated at ages above 65 years. LIMITATIONS: The indication of antidepressant prescription could not be ascertained from the medication registers. CONCLUSIONS: Interventions should be directed to self-harm and substance use problems among younger psychiatric inpatients and antidepressant-treated young men. Rigorous monitoring and treatment of comorbid somatic conditions and disease risk factors may increase life expectancy for antidepressant-treated outpatients, especially women.

Health of Immigrant Children: The Role of Immigrant Generation, Exogamous Family Setting, and Family Material and Social Resources.

Although the children of first-generation immigrants tend to have better health than the native population, the health advantage of the children of immigrant families deteriorates over generations. It is, however, poorly understood where on the generational health assimilation spectrum children with one immigrant and one native parent (i.e., exogamous families) lie, to what extent family resources explain health assimilation, and whether the process of assimilation varies across health conditions. We seek to extend our understanding of the process of health assimilation by analyzing the physical and mental health of immigrant generations, assessing the role of exogamous family arrangements, and testing the contributions of family material and social resources to children's outcomes. We use register-based longitudinal data on all children residing in Finland, born in 1986-2000, and alive in 2000; these data are free of reporting bias and loss to follow-up. We estimate the risk of receiving inpatient and outpatient care for somatic conditions, psychopathological disorders, and injuries by immigrant generation status. Our results show evidence of a negative health assimilation process, with both first- and second-generation immigrant children having a higher prevalence of physical problems and particularly mental health problems than native children that is only partially explained by family resources. We find that the children of exogamous families are at especially high risk of developing psychopathological disorders. These results provide strong support for the hypothesis that children of exogamous families constitute a specific health risk group and that the impact on children's health of family social and material resources seems to be secondary to other unobserved factors.