Evidence map›Paper›PMID 32103379›Full record

ArticleJournal of community health2020

Socioeconomic Inequalities in Health Through Lifestyles: Analysing Gender and Age Differences in Andalusia, Spain.

Diego Gomez-Baya, Jose A Salinas-Perez, Maria Luisa Rodero-Cosano, Javier Alvarez-Galvez

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Article in Journal of community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Diego Gomez-BayaDepartment of Social, Developmental and Educational Psychology, Universidad de Huelva, Avda. Fuerzas Armadas s/n., 21007, Huelva, Spain. diego.gomez@dpee.uhu.es.ORCID 0000-0003-4651-0439
Jose A Salinas-PerezDepartment of Quantitative Methods, Universidad Loyola Andalucía, Seville, Spain.
Maria Luisa Rodero-CosanoDepartment of Quantitative Methods, Universidad Loyola Andalucía, Córdoba, Spain.
Javier Alvarez-GalvezDepartment of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to analyse the association between socioeconomic status (SES) and self-rated health (SRH) through its relationship with lifestyle factors, as well as examining these effects stratified by gender and age groups. A cross-sectional study was performed with a representative sample from Andalusia (Southern Spain) composed of 1200 adults. The study analysed several variables related to lifestyle (healthy diet, physical activity and tobacco and alcohol consumption) and SES (education and income), along with SRH. The joint effects of SRH and the set of variables were studied by using a hierarchical linear regression analysis. Later a path analysis was carried out to test the impact of gender and age group on these associations. The results show that a better SRH was reported by men with lower age, higher SES, more frequent physical activity, healthy diet, and lower alcohol use compared with their counterparts. Income was directly related to better SRH through more physical activity, a healthier diet and less alcohol consumption. SES had a greater positive relationship with women's health than with men's health. In addition, a greater explained variance in SRH was observed in older women based on SES and lifestyle factors. Our findings provide some cross-sectional evidence of the social inequalities in health mediated through lifestyle factors, with gender and age differences. Therefore, socioeconomic inequalities should be addressed by public and social policies considering the gender and age gaps.

Indexed as

Healthcare DisparitiesSocioeconomic FactorsAdultAgedCross-Sectional StudiesEducational StatusExerciseFemaleHealth StatusHumansIncomeLife StyleMaleMiddle AgedSocial ClassSpainAgeGenderLifestylesPath analysisSelf-rated healthSocioeconomic status

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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.