Abstract

Abstract Background This study aimed to explore socioeconomic factors associated with obesity in the Republic of Cyprus. Methods We interviewed 3021 Greek-Cypriots aged 25-64 years through a multistage survey. We collected self-reported information on demographics, health behaviours (physical activity, smoking, alcohol consumption and dietary intake), socio-economic characteristics (educational attainment, household income and occupational social class) and anthropometric measurements. Obesity was defined as body mass index ≥30 kg/m2. For the association between obesity and each socio-economic indicator, we conducted sex-specific Poisson's regression with robust variance, adjusting for all demographics and health-related behaviours, reporting adjusted prevalence ratios (aPR) and 95% confidence intervals (CI). Results The prevalence of obesity was 22% and 17% among men and women, respectively. There was a significant trend of higher obesity prevalence with increasing age as well as with being widowed in both genders and being a refugee in men. Obesity prevalence decreased with increasing educational attainment (postgraduate vs. none/gymnasium: a PRmen=0.45; 95%CI=0.25-0.82; a PRwomen=0.41; 95%CI=0.18-0.95; p-trends<0.005), and household income (>€4000/month vs. ≤€1000/month: a PRmen=0.45; 95%CI=0.26-0.81; a PRwomen=0.45; 95%CI=0.22-0.92; p-trends<0.005). Occupational social class did not show any clear association with obesity. After adjustment for health-behaviours as mediators the association between income and obesity in women was attenuated. Conclusions The current study highlights striking social inequalities in obesity among Cypriot men and women, characterised by a linear decrease in obesity prevalence each step up the socioeconomic hierarchy. We recommend that comprehensive and multifaceted public health interventions are considered to address income and education-related barriers resulting in higher obesity rates among specific population sub-groups. Key messages Among Greek Cypriot adults, obesity affects almost one in five whilst obesity prevalence shows gender-specific social inequalities. When investigating social inequalities in health, the choice of socioeconomic indicators should reflect the context of the population and gender-specific differences.

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