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Sex-specific associations of different risk behaviors with socio-demographic, health status and lifestyle factors

Published online by Cambridge University Press:  19 July 2023

J. Kose*
Affiliation:
Equipe de Recherche en Epidémiologie Nutritionnelle-Université Sorbonne Paris Nord, Bobigny, France
P. Duquenne
Affiliation:
Equipe de Recherche en Epidémiologie Nutritionnelle-Université Sorbonne Paris Nord, Bobigny, France
S. Hercberg
Affiliation:
Equipe de Recherche en Epidémiologie Nutritionnelle-Université Sorbonne Paris Nord, Bobigny, France
P. Galan
Affiliation:
Equipe de Recherche en Epidémiologie Nutritionnelle-Université Sorbonne Paris Nord, Bobigny, France
M. Touvier
Affiliation:
Equipe de Recherche en Epidémiologie Nutritionnelle-Université Sorbonne Paris Nord, Bobigny, France
L. K. Fezeu
Affiliation:
Equipe de Recherche en Epidémiologie Nutritionnelle-Université Sorbonne Paris Nord, Bobigny, France
A. A. Valentina
Affiliation:
Equipe de Recherche en Epidémiologie Nutritionnelle-Université Sorbonne Paris Nord, Bobigny, France
*
*Corresponding author.

Abstract

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Introduction

Knowledge about concurrent substance use and other risk behaviors - as well as their determinants - in the general population is insufficient.

Objectives

To investigated socio-demographic, health status, and lifestyle determinants of habit-forming risk behaviors among French men and women.

Methods

We analyzed data collected in 2021–2022 from 32,622 participants (74.5% female; mean age=57.9±14.2 years) of the NutriNet-Santé web-cohort who had completed the Alcohol Use Disorders Identification Test, the 12-item Cigarette Dependence Scale, the modified Yale Food Addiction Scale 2.0, and the Internet Addiction Test. Using established cutoff values, participants were first split into 2 groups (Yes/No) for each risk behavior (alcohol use disorders, nicotine dependence, food addiction, and Internet addiction) and then placed into 3 groups (no risk behavior, 1 risk behavior (reference), and ≥2 risk behaviors) before fitting polytomous logistic regression models according to sex.

Results

Younger age (Odds Ratio: ORmale=2.07; ORfemale=2.04), self-perceived poor health (ORmale=2.06; ORfemale=1.61), having obesity (OR=1.56; ORfemale=1.30), lack of affection during childhood (ORmale=1.56; ORfemale=1.39), and a lifetime prevalence or medication use for a mental disorder (ORmale=1.73; ORfemale=1.38) were significantly associated with having ≥2 versus 1 habit-forming risk behavior in both sexes (all p<0.05). Results for experiencing current financial difficulties (ORfemale=1.34), self-perceived poor dietary quality (ORfemale=3.23), being underweight (ORfemale=1.58) and overweight (ORfemale=1.30) were significant only in females (all p<0.05). The same factors plus current e-cigarette use (ORmale=0.54; ORfemale=0.77) in both sexes, having a higher educational attainment (ORfemale=0.75), being physically active at work (ORfemale=0.78) in females were inversely associated with having none versus 1 risk behavior (all p<0.05).

Conclusions

To our knowledge, this is the first study to explore determinants of concurrent habit-forming risk behaviors among men and women in a large, population-based study. The findings could serve as impetus for future research in this domain and ultimately help guide addiction prevention efforts.

Disclosure of Interest

None Declared

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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