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Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms.


ABSTRACT: BACKGROUND:To throw light on the under-researched association between socioeconomic position (SEP) and health in Cuba, this study examined SEP gradients in health and their underlying mechanisms among urban Cuban adults aged 18-65. METHODS:By applying linear regressions to data from the 2010 National Survey on Risk Factors and Chronic Diseases, the analysis explored the SEP-health gradient along three SEP dimensions - education, occupation, and skin colour - using ten health measures: self-reported health (SRH), general and abdominal obesity, hypertension, high glucose, high cholesterol, high triglycerides, low high-density lipoprotein cholesterol, metabolic syndrome, and cumulative risk factors. Regressions also included behaviours and health-related risk perceptions (tobacco and alcohol consumption, diet, physical activity, and risk-related behaviours). It thus investigated the SEP-health gradient and its underlying mechanisms via both behaviours and health-related risk perceptions. RESULTS:Once controlling for gender, age, marital status, region and provincial dummies, the analysis detected educational gradients in SRH (estimated coefficient [95% CI]: middle-level education?=?3.535 [1.329, 5.741], p?

SUBMITTER: Nie P 

PROVIDER: S-EPMC7275493 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms.

Nie Peng P   Ding Lanlin L   Sousa-Poza Alfonso A   Alfonso Leon Alina A   Xue Hong H   Jia Peng P   Wang Liang L   Díaz Sánchez Maria Elena ME   Wang Youfa Y  

BMC public health 20200605 1


<h4>Background</h4>To throw light on the under-researched association between socioeconomic position (SEP) and health in Cuba, this study examined SEP gradients in health and their underlying mechanisms among urban Cuban adults aged 18-65.<h4>Methods</h4>By applying linear regressions to data from the 2010 National Survey on Risk Factors and Chronic Diseases, the analysis explored the SEP-health gradient along three SEP dimensions - education, occupation, and skin colour - using ten health measu  ...[more]

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