Stability of clustering of lifestyle risk factors in the Dutch adult population and the association with mental health.


Journal

European journal of public health
ISSN: 1464-360X
Titre abrégé: Eur J Public Health
Pays: England
ID NLM: 9204966

Informations de publication

Date de publication:
09 Dec 2023
Historique:
pubmed: 9 8 2023
medline: 9 8 2023
entrez: 9 8 2023
Statut: ppublish

Résumé

Lifestyle factors often co-occur in clusters. This study examines whether clusters of lifestyle risk factors, such as smoking, alcohol use, physical inactivity, poor diet, sexual risk behaviour, cannabis and other drug use, change over time in a representative sample of Dutch adults. Additionally, the association between mental health and self-reported depression of lifestyle clusters was examined. Each year cross-sectional data of approximately 7500 individuals of 18 years and older from the annual Dutch Health Survey of 2014-2019 were used. Clusters were determined by a two-step cluster analysis. Furthermore, regression analyses determined the association between clusters of lifestyle risk factors and mental health. Results show six clusters composed of one, multiple or no lifestyle risk factors. The clusters remained relatively stable over time: in some clusters, the number of people slightly changed between 2014 and 2019. More specifically, clusters that increased in size were the cluster with no lifestyle risk factors and the cluster with multiple lifestyle risk factors. Furthermore, results show that clusters with none to a few lifestyle risk factors were associated with better mental health and a lower prevalence of self-reported depression compared with clusters with multiple lifestyle risk factors. The clustering of lifestyle risk factors remained stable over time. People with multiple lifestyle risk factors had poorer mental health than those without risk factors. These findings may emphasize the need for intervention strategies targeting this subgroup with multiple lifestyle risk factors.

Sections du résumé

BACKGROUND BACKGROUND
Lifestyle factors often co-occur in clusters. This study examines whether clusters of lifestyle risk factors, such as smoking, alcohol use, physical inactivity, poor diet, sexual risk behaviour, cannabis and other drug use, change over time in a representative sample of Dutch adults. Additionally, the association between mental health and self-reported depression of lifestyle clusters was examined.
METHODS METHODS
Each year cross-sectional data of approximately 7500 individuals of 18 years and older from the annual Dutch Health Survey of 2014-2019 were used. Clusters were determined by a two-step cluster analysis. Furthermore, regression analyses determined the association between clusters of lifestyle risk factors and mental health.
RESULTS RESULTS
Results show six clusters composed of one, multiple or no lifestyle risk factors. The clusters remained relatively stable over time: in some clusters, the number of people slightly changed between 2014 and 2019. More specifically, clusters that increased in size were the cluster with no lifestyle risk factors and the cluster with multiple lifestyle risk factors. Furthermore, results show that clusters with none to a few lifestyle risk factors were associated with better mental health and a lower prevalence of self-reported depression compared with clusters with multiple lifestyle risk factors.
CONCLUSIONS CONCLUSIONS
The clustering of lifestyle risk factors remained stable over time. People with multiple lifestyle risk factors had poorer mental health than those without risk factors. These findings may emphasize the need for intervention strategies targeting this subgroup with multiple lifestyle risk factors.

Identifiants

pubmed: 37555829
pii: 7239914
doi: 10.1093/eurpub/ckad116
pmc: PMC10710343
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1001-1007

Subventions

Organisme : Dutch Ministry of Health, Welfare and Sport

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association.

Références

J Affect Disord. 2018 Oct 1;238:554-562
pubmed: 29940519
Psychiatry Res. 2001 Dec 31;105(3):243-53
pubmed: 11814543
Ann Intern Med. 1990 Dec 1;113(11):821-7
pubmed: 2240897
Int J Behav Nutr Phys Act. 2014 Jan 22;11:4
pubmed: 24450617
Int J Obes (Lond). 2020 Oct;44(10):2080-2091
pubmed: 32796919
Prev Med. 2019 Jan;118:295-303
pubmed: 30476503
Pediatr Res. 2013 Feb;73(2):245-9
pubmed: 23165452
Alcohol Res. 2020 Oct 29;40(2):01
pubmed: 33133878
Prev Med. 2019 Apr;121:141-148
pubmed: 30790608
Addiction. 2020 Jul;115(7):1224-1243
pubmed: 31837230
J Clin Epidemiol. 2003 Dec;56(12):1163-9
pubmed: 14680666
Health Psychol. 2021 Apr;40(4):252-262
pubmed: 33856832
JAMA Intern Med. 2020 May 1;180(5):760-768
pubmed: 32250383
Int J Environ Res Public Health. 2021 Feb 03;18(4):
pubmed: 33546344
BMC Public Health. 2011 Sep 06;11:692
pubmed: 21896196
Am J Kidney Dis. 2001 Jul;38(1):49-56
pubmed: 11431181
Public Health Nutr. 2019 Sep;22(13):2419-2435
pubmed: 31262374
Lancet Psychiatry. 2018 Jul;5(7):591-604
pubmed: 29773478
Front Public Health. 2022 Sep 09;10:966155
pubmed: 36159268
Am J Prev Med. 2017 Jul;53(1):e19-e30
pubmed: 28258777
J Prev Med Hyg. 2018 Sep 28;59(3):E236-E240
pubmed: 30397681
Curr Pharm Des. 2014;20(25):4112-8
pubmed: 24001294
Child Adolesc Psychiatry Ment Health. 2022 Feb 28;16(1):16
pubmed: 35227300
BMC Public Health. 2016 Jul 29;16:657
pubmed: 27473458
Eur J Public Health. 2009 Dec;19(6):618-24
pubmed: 19403786
Mol Psychiatry. 2019 Jul;24(7):965-986
pubmed: 30254236
Prev Med. 2020 Feb;131:105955
pubmed: 31862205
J Public Health (Oxf). 2019 Sep 30;41(3):e226-e236
pubmed: 30192965
J Psychiatr Res. 2018 Aug;103:142-149
pubmed: 29852421
JAMA Intern Med. 2020 Apr 1;180(4):503-512
pubmed: 32011623
J Affect Disord. 2015 Jan 15;171:111-9
pubmed: 25303027
J Am Coll Cardiol. 2019 Nov 19;74(20):2529-2532
pubmed: 31727292

Auteurs

Hannah Dorsman (H)

National Institute for Public Health and the Environment (RIVM), Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands.

Ellen de Hollander (E)

National Institute for Public Health and the Environment (RIVM), Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands.

Wanda Wendel-Vos (W)

National Institute for Public Health and the Environment (RIVM), Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands.

Caroline van Rossum (C)

National Institute for Public Health and the Environment (RIVM), Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands.

Ellen Kemler (E)

Dutch Consumer Safety Institute, Amsterdam, The Netherlands.

Christianne Hupkens (C)

Statistics Netherlands, Heerlen, The Netherlands.

Karen Hosper (K)

Pharos, Utrecht, The Netherlands.

Derek de Beurs (D)

Trimbos Institute, Utrecht, The Netherlands.

Marieke Hiemstra (M)

National Institute for Public Health and the Environment (RIVM), Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands.

Classifications MeSH