Co-occurrence of habit-forming risk behaviors and their socio-demographic, health status and lifestyle determinants: a population-based cross-sectional study

Abstract

Abstract Background Although habit-forming risk behaviors frequently co-occur, determinants of concurrent risk behaviors have rarely been investigated. The aim of the present study was to investigate socio-demographic, health status, and lifestyle determinants of single versus concurrent risk behaviors in general-population adults. Methods We analyzed data from 32,622 participants (74.5% female; mean age = 57.9 ± 14.2 years) of the NutriNet-Santé cohort who 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 in 2021–2022. Using established cutoffs, participants were first split into 2 groups (presence versus absence) for each risk variable (alcohol use disorders, nicotine dependence, food addiction, Internet addiction) and were then divided into 3 groups (no risk behavior, 1 risk behavior (reference), and ≥ 2 risk behaviors). The association between socio-demographic, health status, and lifestyle exposures and individual/concurrent risk behaviors were investigated with polytomous logistic regression. Results Younger age (Odds Ratio (OR) = 2.04; 95% Confidence Interval (CI: 1.62–2.56), current financial difficulties (OR = 1.29; CI: 1.08–1.54), self-perceived poor health (OR = 1.70; CI: 1.32–2.20), overall poor dietary quality (OR = 2.88; CI: 2.06–4.02), being underweight (OR = 1.46; CI: 1.05–2.04), having obesity (OR = 1.62; CI: 1.31–1.99), lack of affection during childhood (OR = 1.41; CI: 1.18–1.69), and a lifetime prevalence or medication use for a mental disorder (OR = 1.46; CI: 1.24–1.73) were positively associated with having ≥ 2 versus 1 risk behavior (all p < 0.05). The comparison of none versus 1 risk behavior revealed the same determinants in addition to having a higher education, being physically active at work, and being overweight. Conclusions We investigated determinants of concurrent habit-forming risk behaviors among adults 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.

Keywords

• Addictive behaviors
• Alcohol
• Food addiction
• Internet addiction
• Substance use disorders
• General population