Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016.
Social differences in body mass index and health behaviors are a major public health challenge. The uneven distribution of unhealthy body mass index and of unhealthy behaviors such as smoking, physical inactivity, and harmful alcohol consumption has been shown to mediate social inequalities in chron...
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ftdoajarticles:oai:doaj.org/article:d19e1822d03b4554aa3492cb20ec4668 2024-01-14T10:09:24+01:00 Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016. Ana Silvia Ibarra-Sanchez Birgit Abelsen Gang Chen Torbjørn Wisløff 2023-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0295302 https://doaj.org/article/d19e1822d03b4554aa3492cb20ec4668 EN eng Public Library of Science (PLoS) https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0295302&type=printable https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0295302 https://doaj.org/article/d19e1822d03b4554aa3492cb20ec4668 PLoS ONE, Vol 18, Iss 12, p e0295302 (2023) Medicine R Science Q article 2023 ftdoajarticles https://doi.org/10.1371/journal.pone.0295302 2023-12-17T01:40:57Z Social differences in body mass index and health behaviors are a major public health challenge. The uneven distribution of unhealthy body mass index and of unhealthy behaviors such as smoking, physical inactivity, and harmful alcohol consumption has been shown to mediate social inequalities in chronic diseases. While differential exposures to these health variables have been investigated, the extent to which they vary over the lifetime in the same population and their relationship with level of education is not well understood. This study examines patterns of body mass index and multiple health behaviors (smoking, physical activity and alcohol consumption), and investigates their association with education level among adults living in Northern Norway. It presents findings from a longitudinal multiple correspondence analysis of the Tromsø Study. Longitudinal data from 8,906 adults aged 32-87 in 2007-2008, with repeated measurements in 2015-2016 were retrieved from the survey's sixth and seventh waves. The findings suggest that most in the study population remained in the same categories of body mass index and the three health behaviors at the follow-up, with a clear educational gradient in healthy patterns. That is, both healthy changes and maintained healthy categories were associated with the highest education levels. Estimating differential exposures to mediators of health inequalities could benefit policy priority setting for tackling inequalities in health. Article in Journal/Newspaper Northern Norway Tromsø Directory of Open Access Journals: DOAJ Articles Norway Tromsø PLOS ONE 18 12 e0295302 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Ana Silvia Ibarra-Sanchez Birgit Abelsen Gang Chen Torbjørn Wisløff Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016. |
topic_facet |
Medicine R Science Q |
description |
Social differences in body mass index and health behaviors are a major public health challenge. The uneven distribution of unhealthy body mass index and of unhealthy behaviors such as smoking, physical inactivity, and harmful alcohol consumption has been shown to mediate social inequalities in chronic diseases. While differential exposures to these health variables have been investigated, the extent to which they vary over the lifetime in the same population and their relationship with level of education is not well understood. This study examines patterns of body mass index and multiple health behaviors (smoking, physical activity and alcohol consumption), and investigates their association with education level among adults living in Northern Norway. It presents findings from a longitudinal multiple correspondence analysis of the Tromsø Study. Longitudinal data from 8,906 adults aged 32-87 in 2007-2008, with repeated measurements in 2015-2016 were retrieved from the survey's sixth and seventh waves. The findings suggest that most in the study population remained in the same categories of body mass index and the three health behaviors at the follow-up, with a clear educational gradient in healthy patterns. That is, both healthy changes and maintained healthy categories were associated with the highest education levels. Estimating differential exposures to mediators of health inequalities could benefit policy priority setting for tackling inequalities in health. |
format |
Article in Journal/Newspaper |
author |
Ana Silvia Ibarra-Sanchez Birgit Abelsen Gang Chen Torbjørn Wisløff |
author_facet |
Ana Silvia Ibarra-Sanchez Birgit Abelsen Gang Chen Torbjørn Wisløff |
author_sort |
Ana Silvia Ibarra-Sanchez |
title |
Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016. |
title_short |
Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016. |
title_full |
Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016. |
title_fullStr |
Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016. |
title_full_unstemmed |
Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016. |
title_sort |
educational patterns of health behaviors and body mass index: a longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2023 |
url |
https://doi.org/10.1371/journal.pone.0295302 https://doaj.org/article/d19e1822d03b4554aa3492cb20ec4668 |
geographic |
Norway Tromsø |
geographic_facet |
Norway Tromsø |
genre |
Northern Norway Tromsø |
genre_facet |
Northern Norway Tromsø |
op_source |
PLoS ONE, Vol 18, Iss 12, p e0295302 (2023) |
op_relation |
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0295302&type=printable https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0295302 https://doaj.org/article/d19e1822d03b4554aa3492cb20ec4668 |
op_doi |
https://doi.org/10.1371/journal.pone.0295302 |
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PLOS ONE |
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18 |
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12 |
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e0295302 |
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