Evidence map›Paper›PMID 28535751›Full record

ArticleBMC public health2017

Socioeconomic inequality in clusters of health-related behaviours in Europe: latent class analysis of a cross-sectional European survey.

Shiho Kino, Eduardo Bernabé, Wael Sabbah

Abstract readMulticenter Study
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  9. Sex and income inequalities in preventive services in diabetes.The European journal of general practice · 2023
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  20. Racial/Ethnic Variations in Clustered Risk Behaviors in the U.S.American journal of preventive medicine · 2020
    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

3 authors.

Shiho KinoDivision of Population and Patient Health, King's College London Dental Institute at Guy's, King's College and St Thomas' Hospitals, Bessemer Road, Denmark Hill, London, SE5 9RS, UK. shiho.kino@kcl.ac.uk.
Eduardo BernabéDivision of Population and Patient Health, King's College London Dental Institute at Guy's, King's College and St Thomas' Hospitals, Bessemer Road, Denmark Hill, London, SE5 9RS, UK.
Wael SabbahDivision of Population and Patient Health, King's College London Dental Institute at Guy's, King's College and St Thomas' Hospitals, Bessemer Road, Denmark Hill, London, SE5 9RS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModifiable health-related behaviours tend to cluster among most vulnerable sectors of the population, particularly those at the bottom of the social hierarchy. This study aimed to identify the clusters of health-related behaviours in 27 European countries and to examine the socioeconomic inequalities in these clusters.

methodsData were from Eurobarometer 72.3-2009, a cross-sectional survey of 27 European countries. The analyses were conducted in 2016. The main sections of the survey included questions pertaining to sociodemographic factors, health-related behaviours, and use of services. In this study, those aged 18 years and older were included. We selected five health-related behaviours, namely smoking, excessive alcohol consumption, frequent fresh fruit consumption, physical activity and dental check-ups. Socioeconomic position was indicated by education, subjective social status and difficulty in paying bills. Latent class analysis was conducted to explore the clusters of these five behaviours. Multinomial logistic regression model was used to examine the relationships between the clusters and socioeconomic positions adjusting for age, gender, marital status and urbanisation.

resultsThe eligible total population was 23,842. Latent class analysis identified three clusters; healthy, moderate and risky clusters in this European population. Individuals with the lowest socioeconomic position were more likely to have risky and moderate clusters than healthy cluster compared to those with the highest socioeconomic position.

conclusionsThere were clear socioeconomic gradients in clusters of health-related behaviours. The findings highlight the importance of adopting interventions that address multiple health risk behaviours and policies that tackle the social determinants of health-related behaviours.

Indexed as

Health BehaviorHealth SurveysAdultCluster AnalysisCross-Sectional StudiesEthnicityEuropeExerciseFemaleHumansLogistic ModelsMaleMiddle AgedCluster analysisEuropeHealth behaviorSocioeconomic factors

Identifiers

PMID28535751
PMCPMC5442654

What OpenQuestion holds

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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.