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.
View Article and Find Full Text PDFJ Interpers Violence
June 2024
This article addresses the differences between girls and boys in the disclosure of sexual violence. The dataset combines data from the Finnish Child Victim Survey (FCVS) of 2008 ( = 13,459) and 2013 ( = 11,364), focusing on victims of sexual violence, ages 11 to 17 years, from the perspectives of disclosure and gender. Frequency and percentage analysis, cross tabulation, and a Chi-square test were used in the analysis.
View Article and Find Full Text PDFBackground: 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.
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.
View Article and Find Full Text PDFBackground: Previous Mendelian randomization (MR) studies using population samples (population MR) have provided evidence for beneficial effects of educational attainment on health outcomes in adulthood. However, estimates from these studies may have been susceptible to bias from population stratification, assortative mating and indirect genetic effects due to unadjusted parental genotypes. MR using genetic association estimates derived from within-sibship models (within-sibship MR) can avoid these potential biases because genetic differences between siblings are due to random segregation at meiosis.
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