ArticlePreventive medicine2021
The cumulative effect of multiple dimensions of lifestyle on risky drinking during the Covid-19 pandemic.
Article in Preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Changes on risky drinking after the COVID-19 outbreak in Brazil: results from three consecutive web surveys.Trends in psychiatry and psychotherapy · 2025Article
- Article
- Lifestyle changes during the COVID-19 pandemic in Brazil: results from three consecutive cross-sectional web surveys.BMJ open · 2023Article
- Alcohol use disorder as a potential risk factor for COVID-19 severity: A narrative review.Alcoholism, clinical and experimental research · 2022Review
- [Drinking behavior at the beginning and during the SARS-CoV-2 pandemic: results of a literature review].Notfall & rettungsmedizin · 2022Review
- What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review.Frontiers in public health · 2021Article
- Lifestyle Behaviors, Depression, and Anxiety Among Individuals Living in Canada During the COVID-19 Pandemic.American journal of lifestyle medicineArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lifestyle impacts morbidity and mortality worldwide. Herein, we evaluated the association of a multidimensional lifestyle measure and its domains (diet/nutrition, substance use, physical activity, social, stress management, sleep, environmental exposure) with risky drinking. Also, we analyzed the cumulative effect of unhealthy domains in the likelihood of presenting risky drinking. To reach these objectives, data from a web survey conducted in Brazil and Spain was analyzed. The main outcome was risky drinking assessed by the AUDIT-C. Lifestyle was measured using the Short Multidimensional Inventory Lifestyle Evaluation (SMILE). Fixed logistic models were used to evaluate associations between lifestyle and risky drinking. Between April and May 2020, 22,785 individuals answered the survey. The prevalence of risky drinking was 45.6% in Brazil and 30.8% in Spain. The SMILE score was lower (unhealthier lifestyle) among at-risk drinkers. Worse scores on Diet, Substance use, Stress management and Environment were associated with an increased likelihood of risky drinking. The higher the number of unhealthy domains, the higher the likelihood of presenting risky drinking: adjusted odds ratio (aOR) for risky drinking was 1.15 (IC95% 0.98-1.35) and 23.42 (IC95% 3.08-178.02) for those presenting worse lifestyle in 1 and 5 domains, respectively. Finally, interactions suggest that improvement in lifestyle domains would have a larger effect in Spain than in Brazil. Our results suggest that future interventions aiming at reducing Risky drinking may benefit from strategies targeting multiple domains of lifestyle.
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