Evidence map›Paper›PMID 36517802›Full record

ArticleBMC public health2022

Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal.

Rosália Páscoa, Andreia Teixeira, Hugo Monteiro, Filipe Prazeres, Carlos Martins

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Rosália PáscoaMedicine Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Al. Prof. Hernâni Monteiro, 4200 - 319, Porto, Portugal. rosaliapascoa@hotmail.com.
Andreia TeixeiraMedicine Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Al. Prof. Hernâni Monteiro, 4200 - 319, Porto, Portugal.
Hugo MonteiroDepartment of Studies and Planning of the Northern Regional Health Administration, Porto, Portugal.
Filipe PrazeresCentre for Health Technology and Services Research (CINTESIS), University of Porto, Al. Prof. Hernâni Monteiro, 4200 - 319, Porto, Portugal.
Carlos MartinsCentre for Health Technology and Services Research (CINTESIS), University of Porto, Al. Prof. Hernâni Monteiro, 4200 - 319, Porto, Portugal.
Universidade do Porto · PTAdministração Regional de Saúde de Lisboa e Vale do Tejo · PTCentre for Health Technology and Services Research · PTUniversity of Beira Interior · PT

Funding

Fundação para a Ciência e a Tecnologia UIDB/4255/2020
6 · The paper itself

Abstract

backgroundLifestyle factors are widely recognized as modifiers and major risk factors for non-communicable diseases. Previous studies on the prevalence of multimorbidity in Portugal predict an unfavourable reality. The aim of the present study was to analyse 1) the prevalence of multimorbidity in Portugal and 2) the association of individuals' lifestyles and sociodemographic factors with multimorbidity.

methodsA cross-sectional, population-wide study was conducted on a representative sample of the general population of Portuguese adults aged ≥ 20 years. Categorical variables were described by their respective absolute and relative frequencies (n (%)). All variables with a p-value < 20% were included in the multiple logistic regression model. The variables were removed one by one in descending order of p-value (p) until the model contained only significant variables. The results are presented using the odds ratio and 95% confidence intervals. P-values ​​ < 5% were considered significant.

resultsThe prevalence of multimorbidity was 48.9% (n = 436), and the odds of multimorbidity increased 4% (p < 0.001) for each year of increase in age. Participants with reasonable general health status had higher odds of multimorbidity (Odds ratio (OR) = 3.04; p < 0.001), and those with poor or very poor general health status had even higher odds (OR = 9.14; p < 0.001). Compared to those who never smoked, participants who quit smoking ≥ 1 year presented an increase of 91% (p = 0.005) in the odds of multimorbidity. Individuals with no good-quality sleep, non-moderate screen time, or non-moderate stress level had higher odds of multimorbidity (OR = 1.98; OR = 1.88; OR = 2.22, respectively. p < 0.001).

conclusionsThis study presented a new approach to multimorbidity in Portugal. Population-based, multidimensional lifestyle interventions are needed. It seems necessary to optimize and adjust measures to prevent non-communicable diseases to improve health in Portugal. In the future, longitudinal studies will be an asset to reinforce and clarify these conclusions.

Indexed as

MultimorbidityNoncommunicable DiseasesAdultCross-Sectional StudiesHumansLife StylePortugalPrevalenceSociodemographic FactorsLifestyleMultimorbiditySociodemographic

Identifiers

PMID36517802
PMCPMC9749348
OpenAlexW4311357466

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.