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.

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.

How voter turnout varies between different chronic conditions? A population-based register study.

BACKGROUND: While poor self-rated health is known to decrease an individual's propensity to vote, disaggregation of the components of health on turnout has thus far received only little attention. This study deepens on the understanding of such relationships by examining the association between chronic diseases and voting. METHODS: The study uses an individual-level register-based data set that contains an 11% random sample of the entire electorate in the 1999 Finnish parliamentary elections. With information on hospital discharge diagnoses and reimbursements for drugs prescribed, we identify persons with chronic hospital-treated diseases (coronary heart disease, chronic obstructive pulmonary disease (COPD) and asthma, depression, cancer, psychotic mental disease, diabetes, cerebrovascular disease, rheumatic disease, epilepsy, arthrosis, alcoholism, dementia, atherosclerosis, Parkinson's disease, other degenerative brain diseases, multiple sclerosis and kidney disease). RESULTS: After adjusting for gender, age, education, occupational class, income, partnership status, cohabitation with underaged children and hospitalisation during Election Day, neurodegenerative brain diseases had the strongest negative relationship with voting (dementia OR=0.20, 95% CI 0.18 to 0.22; others up to OR=0.70). Alcoholism (OR=0.66) and mental disorders also had a negative association (depression OR=0.91; psychotic mental disease OR=0.79), whereas cancer and COPD/asthma had a positive association (both OR=1.05). Having more than one condition at a time further decreased voting probability. CONCLUSIONS: By showing how different health conditions are related to voter turnout, this study provides essential information for identifying gaps in the potential for political participation and for further inquiries aiming to develop models that explain the link between health and voting probability.