Evidence map›Paper›PMID 38419088›Full record

ArticleArchives of public health = Archives belges de sante publique2024

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

Junko Kose, Pauline Duquenne, Serge Hercberg, Pilar Galan, Mathilde Touvier, Léopold K Fezeu, Valentina A Andreeva

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Junko KoseNutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France.
Pauline DuquenneNutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France.
Serge HercbergNutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France.
Pilar GalanNutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France.
Mathilde TouvierNutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France.
Léopold K FezeuNutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France.
Valentina A AndreevaNutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France. v.andreeva@eren.smbh.univ-paris13.fr.ORCID http://orcid.org/0000-0001-9480-5210

Funding

Agence Nationale de la Recherche ANR-21-CE36-0003
6 · The paper itself

Abstract

backgroundAlthough 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.

methodsWe 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.

resultsYounger 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.

conclusionsWe 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.

Indexed as

Addictive behaviorsAlcoholFood addictionGeneral populationInternet addictionSubstance use disorders

Identifiers

PMID38419088
PMCPMC10900606

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.