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

BACKGROUND: Lifestyle 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...

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Autores principales: Páscoa, Rosália, Teixeira, Andreia, Monteiro, Hugo, Prazeres, Filipe, Martins, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749348/
https://www.ncbi.nlm.nih.gov/pubmed/36517802
http://dx.doi.org/10.1186/s12889-022-14640-5
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author Páscoa, Rosália
Teixeira, Andreia
Monteiro, Hugo
Prazeres, Filipe
Martins, Carlos
author_facet Páscoa, Rosália
Teixeira, Andreia
Monteiro, Hugo
Prazeres, Filipe
Martins, Carlos
author_sort Páscoa, Rosália
collection PubMed
description BACKGROUND: Lifestyle 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. METHODS: A 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. RESULTS: The 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). CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14640-5.
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spelling pubmed-97493482022-12-15 Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal Páscoa, Rosália Teixeira, Andreia Monteiro, Hugo Prazeres, Filipe Martins, Carlos BMC Public Health Research BACKGROUND: Lifestyle 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. METHODS: A 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. RESULTS: The 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). CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14640-5. BioMed Central 2022-12-14 /pmc/articles/PMC9749348/ /pubmed/36517802 http://dx.doi.org/10.1186/s12889-022-14640-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Páscoa, Rosália
Teixeira, Andreia
Monteiro, Hugo
Prazeres, Filipe
Martins, Carlos
Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal
title Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal
title_full Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal
title_fullStr Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal
title_full_unstemmed Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal
title_short Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal
title_sort association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in portugal
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749348/
https://www.ncbi.nlm.nih.gov/pubmed/36517802
http://dx.doi.org/10.1186/s12889-022-14640-5
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