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Background: The aim of this study was to assess the patterns of socio-economic inequalities in leisure-time physical activity (LTPA) in the different member states of the European Union. Methods: Comparable data on subjects aged 16–64 years derived from national health interview surveys from 15 European countries were used for the analysis. We used log-binominal regression to assess prevalence rate ratios (PRRs). The PRR measured the risk of showing a low level of LTPA for a given educational level, relative to the highest educational group. Results: Within Europe, large cross-national differences in the overall prevalence of a low level of LTPA were observed. However, a low level of LTPA was always more common among those of lower educational attainment. The educational inequalities in a low level of LTPA were more pronounced in men. For the lowest compared with the highest educational level, the PRR was 1.53 (95% CI: 1.49–1.57) in males and 1.36 (95% CI: 1.33–1.39) in females. There was no consistent relationship between the absolute level of prevalence rate, as measured by the rate for the highly educated, and the magnitude of these inequalities. Conclusions: Throughout Europe, physical activity during leisure time is less common among the lower educational groups compared with the higher educational groups. Programs to promote LTPA should consider strategies that target people of lower educational attainment. [ABSTRACT FROM AUTHOR]

Women generally live longer than men, but women's longer lives are not necessarily healthy lives. The aim of this article is to describe the pattern of gender differences in expected years with and without activity limitations across 25 EU countries and to explore the association between gender differences and macro-level factors. We applied to the Eurostat life table's data from the Statistics of Income and Living Conditions Survey to estimate gender differences in life expectancy with and without activity limitations at age 50 for 2005. We studied the relationship between the gender differences and structural indicators using meta-regression techniques. Differences in years with activity limitations between genders were associated with the life expectancy (LE) and the size of the gender difference in LE. Gender difference in years with activity limitations were larger as the gross domestic product, the expenditure on elderly care and the indicator of life-long learning decreased, and as the inequality in income distribution increased. There was evidence of disparity in the associations between the more established EU countries (EU15) and the newer EU10 countries. Among the EU15, gender differences were positively associated with income inequality, the proportion of the population with a low education and the men's mean exit age from labour force. Among the EU10, inequalities were smaller with increasing expenditure in elderly care, with decreasing poverty risk and with decreasing employment rate of older people. The association between structural indicators and the gender gap in years with activity limitations suggests that gender differences can be reduced. [ABSTRACT FROM AUTHOR]

Background: Phthalates are ubiquitous in the environment. Despite short half-lives, chronic exposure can lead to endocrine disruption. The safety of phthalate substitute DINCH is unclear., Objective: To evaluate associations between urinary concentrations of phthalate/DINCH metabolites and body mass index (BMI) z-score among children and adolescents., Method: We used Human Biomonitoring for Europe Aligned Studies data from 2876 children (12 studies, 6-12 years, 2014-2021) and 2499 adolescents (10 studies, 12-18 years, 2014-2021) with up to 14 phthalate/DINCH urinary metabolites. We used multilevel linear regression to assess associations between phthalate/DINCH concentrations and BMI z-scores, testing effect modification by sex. In a subset, Bayesian kernel machine regression (BKMR) and quantile-based g-computation assessed important predictors and mixture effects., Results: In children, we found few associations in single pollutant models and no interactions by sex (p-interaction > 0.1). BKMR detected no relevant exposures (posterior inclusion probabilities, PIPs < 0.25), nor joint mixture effect. In adolescent single pollutant analysis, mono-ethyl phthalate (MEP) concentrations were associated with higher BMI z-score in males (β = 0.08, 95 % CI: 0.001,0.15, per interquartile range increase in ln-transformed concentrations, p-interaction = 0.06). Conversely, mono-isobutyl phthalate (MiBP) was associated with a lower BMI z-score in both sexes (β = -0.13, 95 % CI: -0.19, -0.07, p-interaction = 0.74), as was sum of di(2-ethylhexyl) phthalate (∑DEHP) metabolites in females only (β = -0.08, 95 % CI: -0.14, -0.02, p-interaction = 0.01). In BKMR, higher BMI z-scores were predicted by MEP (PIP=0.90) and MBzP (PIP=0.84) in males. Lower BMI z-scores were predicted by MiBP (PIP=0.999), OH-MIDP (PIP=0.88) and OH-MINCH (PIP=0.72) in both sexes, less robustly by DEHP (PIP=0.61) in females. In quantile g-computation, the overall mixture effect was null for males, and trended negative for females (β = -0.11, 95 % CI: -0.25, 0.03, per joint exposure quantile)., Conclusion: In this large Europe-wide study, we found age/sex-specific differences between phthalate metabolites and BMI z-score, stronger in adolescents. Longitudinal studies with repeated phthalate measurements are needed., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: The Minimum European Health Module (MEHM) consists of 3 global questions concerning 3 health domains: self-perceived health, chronic conditions and long-term activity limitation. The objective of this paper is to evaluate the reliability of the MEHM., Methods: Participants of the Belgian Food Consumption Survey were interviewed twice: 170 individuals were selected for the MEHM reliability evaluation. For each of the 3 questions Pearson and Kappa coefficients were estimated. Analyses were stratified by gender, age, education, language and time between the interviews., Results: The Pearson correlations are between 0.73 and 0.81. The Kappa estimates are good or excellent: 0.74 (self-perceived health), 0.77 (chronic conditions) and 0.68 (activity limitation). Also stratified analyses indicated in general an acceptable reliability., Conclusion: The MEHM has an acceptable reliability.