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

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 Natio...

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Autores principales: Nie, Peng, Ding, Lanlin, Sousa-Poza, Alfonso, Alfonso Leon, Alina, Xue, Hong, Jia, Peng, Wang, Liang, Díaz Sánchez, Maria Elena, Wang, Youfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275493/
https://www.ncbi.nlm.nih.gov/pubmed/32503489
http://dx.doi.org/10.1186/s12889-020-08980-3
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author Nie, Peng
Ding, Lanlin
Sousa-Poza, Alfonso
Alfonso Leon, Alina
Xue, Hong
Jia, Peng
Wang, Liang
Díaz Sánchez, Maria Elena
Wang, Youfa
author_facet Nie, Peng
Ding, Lanlin
Sousa-Poza, Alfonso
Alfonso Leon, Alina
Xue, Hong
Jia, Peng
Wang, Liang
Díaz Sánchez, Maria Elena
Wang, Youfa
author_sort Nie, Peng
collection PubMed
description 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 < 0.01; high-level education = 5.249 [3.050, 7.448], p < 0.01) that are partially explainable by both health-affecting behaviours (tobacco and alcohol consumption, diet, physical and sedentary activity) and risk perceptions. Using objective measures of health, however, it found no SEP-health gradients other than hypertension among people identified as having Black skin color (adjusted for demographic variables, 0.060 [0.018, 0.101], p < 0.01) and high cholesterol among those identified as having Mulatto or Mestizo skin color (adjusted for demographic variables, − 0.066 [− 0.098, − 0.033], p < 0.01). CONCLUSIONS: In terms of objective health measures, the study provides minimal evidence for an SEP-health gradient in Cuba, results primarily attributable to the country’s universal healthcare system − which offers full coverage and access and affordable medications − and its highly developed education system.
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spelling pubmed-72754932020-06-08 Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms Nie, Peng Ding, Lanlin Sousa-Poza, Alfonso Alfonso Leon, Alina Xue, Hong Jia, Peng Wang, Liang Díaz Sánchez, Maria Elena Wang, Youfa BMC Public Health Research Article 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 < 0.01; high-level education = 5.249 [3.050, 7.448], p < 0.01) that are partially explainable by both health-affecting behaviours (tobacco and alcohol consumption, diet, physical and sedentary activity) and risk perceptions. Using objective measures of health, however, it found no SEP-health gradients other than hypertension among people identified as having Black skin color (adjusted for demographic variables, 0.060 [0.018, 0.101], p < 0.01) and high cholesterol among those identified as having Mulatto or Mestizo skin color (adjusted for demographic variables, − 0.066 [− 0.098, − 0.033], p < 0.01). CONCLUSIONS: In terms of objective health measures, the study provides minimal evidence for an SEP-health gradient in Cuba, results primarily attributable to the country’s universal healthcare system − which offers full coverage and access and affordable medications − and its highly developed education system. BioMed Central 2020-06-05 /pmc/articles/PMC7275493/ /pubmed/32503489 http://dx.doi.org/10.1186/s12889-020-08980-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Nie, Peng
Ding, Lanlin
Sousa-Poza, Alfonso
Alfonso Leon, Alina
Xue, Hong
Jia, Peng
Wang, Liang
Díaz Sánchez, Maria Elena
Wang, Youfa
Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms
title Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms
title_full Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms
title_fullStr Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms
title_full_unstemmed Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms
title_short Socioeconomic position and the health gradient in Cuba: dimensions and mechanisms
title_sort socioeconomic position and the health gradient in cuba: dimensions and mechanisms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275493/
https://www.ncbi.nlm.nih.gov/pubmed/32503489
http://dx.doi.org/10.1186/s12889-020-08980-3
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