Evidence map›Paper›PMID 34242667›Full record

ArticlePreventive medicine2021

The cumulative effect of multiple dimensions of lifestyle on risky drinking during the Covid-19 pandemic.

Raquel B De Boni, Marcelo Ribeiro-Alves, Jurema C Mota, Mariana Gomes, Vicent Balanzá-Martínez, Flavio Kapczinski, Francisco I Bastos

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Raquel B De BoniInstitute of Scientific and Technological Communication and Information in Health (ICICT), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil. Electronic address: raquel.boni@icict.fiocruz.br.
Marcelo Ribeiro-AlvesInstituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Jurema C MotaInstitute of Scientific and Technological Communication and Information in Health (ICICT), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil.
Mariana GomesUniversidade Federal do Estado do Rio de Janeiro, Escola de Medicina e Cirurgia (EMC - Unirio), Rio de Janeiro, Brazil.
Vicent Balanzá-MartínezTeaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, CIBERSAM, Valencia, Spain.
Flavio KapczinskiDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, 100 West 5th Street, Hamilton, ON L8N 3K7, Canada; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre (HCPA), Brazil; Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Francisco I BastosInstitute of Scientific and Technological Communication and Information in Health (ICICT), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19PandemicsAlcohol DrinkingBrazilHumansLife StyleRisk-TakingSARS-CoV-2SpainAlcohol drinkingBrazilLifestyleSpainWebsurveys

Identifiers

PMID34242667
PMCPMC8662552

What OpenQuestion holds

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Registered trials

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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.