Background: Previous studies have shown persistent or increasing socioeconomic inequalities in obesity in many European countries. The aim of this study was to project trends in social inequalities in obesity to 2035 in male and female adults (aged 16+) in the UK to ascertain if the gap is widening or narrowing.
Methodology: BMI data for the UK were extracted from the Health Survey for England (2004-14), Scottish Health Survey (2008-14) and the Welsh Health Survey (2004-14), respectively. A non-linear multivariate regression model was fitted to cross-sectional risk factor data to create longitudinal projections to 2035 stratified by sex, and occupational status or education level.
Results: Individuals in routine and manual jobs are projected to have the highest prevalence of obesity by 2035 and to experience the highest increases in obesity prevalence to 2035. Social inequalities based on occupation are projected to widen (except in English females). Social inequalities based on education are projected to decrease (except in Welsh females).
Discussion: A population strategy of prevention focused on the structural determinants of obesity is needed to change the trajectory of obesity prevalence trends and to tackle health inequalities.
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http://dx.doi.org/10.1093/pubmed/fdz022 | DOI Listing |
Clin Transl Allergy
January 2025
University of Health Sciences, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Department of Chest Diseases, Istanbul, Turkey.
Background: Asthma is one of the most common causes of chronic respiratory disease, and countries with low socioeconomic status have both a high prevalence of asthma and asthma-related death.
Objective: In this study, we aimed to determine socioeconomic levels of asthmatic patients according to a national database and investigate the effects of social markers on disease control in our region.
Methods: This is an analysis of data from 2053 adult asthma patients from a multicentre chart study in Turkey.
Arch Public Health
January 2025
Department of Biostatistics & Epidemiology, School of Public Health, Infectious Ophthalmologic Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Background: Cigarette smoking remains a significant public health concern, with detrimental effects on both smokers and those exposed to secondhand smoke. This study investigates the factors influencing smoking behaviors in Iranian households, focusing on households with children under five years old.
Methods: We conducted a cross-sectional analysis of 8751 Iranian households using data from the Iranian Household Income and Expenditure Survey (HIES) collected by the Statistical Center of Iran (SCI) in 2021.
Sci Data
January 2025
Oxford Poverty and Human Development Initiative (OPHI), Oxford Department of International Development, Oxford University, Oxford, OX1 3TB, United Kingdom.
This paper describes the database The global Multidimensional Poverty Index (MPI): Harmonised level estimates and their changes over time. The global MPI is an international poverty measure based on ten deprivation indicators in three dimensions: health, education, and living standards. The database contains estimates for the MPI itself (the adjusted headcount ratio); related partial indices such as headcount ratio, intensity, indicator-specific indices, and several auxiliary statistics; and changes over time for most quantities.
View Article and Find Full Text PDFMidwifery
January 2025
University of Cincinnati, College of Nursing, Cincinnati, OH, USA. Electronic address: https://twitter.com/hkmuniversity.
Background: Paternal postnatal depression (PPND) is an under-recognized condition that affects new fathers' psychological and emotional well-being, which may impact family dynamics, work performance, and childcare. Despite its significance, there is limited awareness and understanding of its management and implications among midwives, especially in Africa.
Aims: To explore midwives' experiences of managing PPND in Tanzania.
Community Health Equity Res Policy
January 2025
School of Health Policy and Management, York University, Toronto, ON, Canada.
While consensus exists that the sources of health inequalities are social inequalities brought on by the experience of qualitatively different living and working conditions, means of addressing these conditions continue to be the subject of dispute. Whether to emphasis education or income as asocial determinant of health is one such example of differing views on the sources of these inequalities and the means of addressing them. These different emphases are often justified through the narrow examination of the magnitude of statistical relationships between educational attainment and income with health outcomes.
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