Evidence map›Paper›PMID 33979362›Full record

ArticlePloS one2021

Social mobility and healthy behaviours from a gender perspective in the Spanish multicase-control study (MCC-Spain).

M Pinto-Carbó, R Peiró-Pérez, A Molina-Barceló, M Vanaclocha-Espi, J Alguacil, G Castaño-Vinyals, C O'Callaghan-Gordo, E Gràcia-Lavedan, B Pérez-Gómez, V Lope and 18 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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

3 citing papers in PubMed.

  1. Article
  2. Trajectories of social class and adult self-perceived oral health.Community dentistry and oral epidemiology · 2025
    Article
  3. 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

28 authors.

M Pinto-CarbóCancer and Public Health Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain.
R Peiró-PérezInequalities Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain.
A Molina-BarcelóCancer and Public Health Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain.ORCID 0000-0001-5113-6475
M Vanaclocha-EspiCancer and Public Health Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain.
J AlguacilConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
G Castaño-VinyalsConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
C O'Callaghan-GordoConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
E Gràcia-LavedanConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
B Pérez-GómezConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
V LopeConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.ORCID 0000-0002-6986-4021
N AragonésConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
A J MolinaThe Research Group in Gene-Environment and Health Interactions, Institute of Biomedicine (IBIOMED), University of León, León, Castilla y León, Spain.ORCID 0000-0002-5948-6397
T Fernández-VillaThe Research Group in Gene-Environment and Health Interactions, Institute of Biomedicine (IBIOMED), University of León, León, Castilla y León, Spain.
L Gil-MajueloMinistry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Gipuzkoa, Spain.
P AmianoConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
T Dierssen-SotosConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
I Gómez-AceboConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.ORCID 0000-0001-8793-8314
M GuevaraConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
C Moreno-IribasNavarra Public Health Institute, Pamplona, Navarra, Spain.
M Obón-SantacanaConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
M M Rodríguez-SuárezPreventive Medicine and Public Health Area, Oviedo University, Oviedo, Asturias, Spain.
I Salcedo-BellidoConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.ORCID 0000-0003-4601-198X
A Delgado-ParrillaCentre for Health and Environmental Research, Huelva University, Huelva, Andalucia, Spain.
R Marcos-GrageraConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.ORCID 0000-0001-9824-3657
M D ChirlaqueConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
M KogevinasConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
M PollánConsortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
D SalasCancer and Public Health Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is evidence for the influence of socioeconomic status (SES) on healthy behaviours but the effect of social mobility (SM) is not yet well known. This study aims to analyse the influence of origin and destination SES (O-SES and D-SES) and SM on healthy behaviours and co-occurrence, from an integrated gender and age perspective. Data were obtained from the controls of MCC-Spain between 2008-2013 (3,606 participants). Healthy behaviours considered: healthy diet, moderate alcohol consumption, non-smoking and physical activity. SM was categorized as stable high, upward, stable medium, downward or stable low. Binary and multinomial logistic regression models were adjusted. Those aged <65, with a low O-SES, D-SES and stable low SM are less likely to have healthy behaviours in the case of both women (physically active: OR = 0.65 CI = 0.45-0.94, OR = 0.71 CI = 0.52-0.98, OR = 0.61 CI = 0.41-0.91) and men (non-smokers: OR = 0.44 CI = 0.26-0.76, OR = 0.54 CI = 0.35-0.83, OR = 0.41 CI 0.24-0.72; physically active: OR = 0.57 CI = 0.35-0.92, OR = 0.64 CI = 0.44-0.95, OR = 0.53 CI = 0.23-0.87). However, for those aged ≥65, this probability is higher in women with a low O-SES and D-SES (non-smoker: OR = 8.09 CI = 4.18-15.67, OR = 4.14 CI = 2.28-7.52; moderate alcohol consumption: OR = 3.00 CI = 1.45-6.24, OR = 2.83 CI = 1.49-5.37) and in men with a stable low SM (physically active: OR = 1.52 CI = 1.02-1.26). In the case of men, the same behaviour pattern is observed in those with a low O-SES as those with upward mobility, with a higher probability of co-occurring behaviours (three-to-four behaviours: OR = 2.00 CI = 1.22-3.29; OR = 3.13 CI = 1.31-7.48). The relationship of O-SES, D-SES and SM with healthy behaviours is complex and differs according to age and gender.

Indexed as

Health BehaviorSocial ClassSocial MobilityAdultAgedAged, 80 and overCase-Control StudiesExerciseFemaleHealth SurveysHumansMaleMiddle AgedSex FactorsSocioeconomic FactorsSpain

Identifiers

PMID33979362
PMCPMC8115806

What OpenQuestion holds

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Registered trials

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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.