Evidence map›Paper›PMID 32503489›Full record

ArticleBMC public health2020

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

Peng Nie, Lanlin Ding, Alfonso Sousa-Poza, Alina Alfonso Leon, Hong Xue, Peng Jia, Liang Wang, Maria Elena Díaz Sánchez, Youfa Wang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 5 countries.

Peng NieSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an, 710061, China. niepeng2017@mail.xjtu.edu.cn.ORCID http://orcid.org/0000-0002-5322-6324
Lanlin DingSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an, 710061, China.
Alfonso Sousa-PozaSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an, 710061, China.
Alina Alfonso LeonCentre for Demographic Studies (CEDEM), University of Havana, Havana, Cuba.
Hong XueDepartment of Health Administration and Policy, College of Health and Human Services, George Mason University, Fairfax, VA, 22030, USA.
Peng JiaDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Liang WangDepartment of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, USA.
Maria Elena Díaz SánchezInstituto Nacional de Higiene de los Alimentos, Havana, Cuba.
Youfa WangGlobal Health Institute, Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
University of Hohenheim · DEXi'an Jiaotong University · CNEast Tennessee State University · USGeorge Mason University · USHong Kong Polytechnic University · HKInstituto de Nutricion e Higiene de los Alimentos · CUUniversity of Havana · CU

Funding

National Natural Science Foundation of China 71804142Start-Up Fund for Young Talent Support Plan 7121182501US-based China Medical Board 16-262
6 · The paper itself

Abstract

backgroundTo 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.

methodsBy 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.

resultsOnce 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).

conclusionsIn 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.

Indexed as

Diagnostic Self EvaluationHealth Status DisparitiesSocial ClassAdolescentAdultAgedChronic DiseaseCubaFemaleHealth SurveysHumansLinear ModelsMaleMiddle AgedRisk FactorsUrban PopulationBiomarkersCubaSelf-reported healthSocioeconomic position

Identifiers

PMID32503489
PMCPMC7275493
OpenAlexW3033988568

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.