Dataset Information

Alcohol Consumption and Smoking During Covid-19 Pandemic: Association with Sociodemographic, Behavioral, and Mental Health Characteristics.

ABSTRACT: The Covid-19 pandemic is related to increased alcohol consumption and smoking. These behaviors may be related to several sociodemographic, behavioral and mental health factors. Thus, the aim of this study was to assess the association between alcohol consumption and cigarette smoking with sociodemographic, behavioral and mental health characteristics. This study used data from two population-based studies conducted in two cities from Southern Brazil amid the Covid-19 pandemic. Individuals aged 18 years or older were included and selected using a multistage sampling procedure. Alcohol consumption and smoking and changes in such consumption during the Covid-19 pandemic were evaluated. Sociodemographic, behavioral, pandemic-related, and mental health variables were also included. A hierarchical model was used to conduct the adjusted analyses, and Poisson regression with robust adjustment was used for variance. A total of 2170 individuals were studied. The prevalence of alcohol consumption and smoking were 9.3% and 14.2%, respectively. The rates of increase in alcohol consumption and smoking during the Covid-pandemic were about 20% and 30%, respectively. They were higher among those with depressive symptoms, feeling of sadness and self-reported stress. Those with poor diet quality had higher prevalence of alcohol consumption (PR: 1.82) and were 1.58 times more likely to smoke. The findings may help stakeholders in health and political systems to better understand the consequences of the Covid-19 pandemic and develop strategies to mitigate these consequences in Brazil and elsewhere.

SUBMITTER: Schafer AA

PROVIDER: S-EPMC8951656 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundTo assess the prevalence of ever-drinking and hazardous drinking among adults in Germany, and investigate the factors associated with level of alcohol consumption.MethodsCross-sectional population survey of a representative sample of 11,331 adults in Germany (2018 to 2019). The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) was used to define ever-drinking (AUDIT-C>=1), hazardous drinking (AUDIT-C>=5) and an overall AUDIT-C (alcohol consumption) score (from 0 to 12). Regression models were used to examine sociodemographic and health-related characteristics associated with AUDIT-C score.ResultsThe prevalence of ever-drinking and hazardous drinking was 84.7% (95% CI = 84.1-85.4) and 19.4% (95% CI = 18.6-20.1), respectively. The mean AUDIT-C score was 2.8 (SD = 2.16). AUDIT-C scores were independently positively associated with having medium (Badj = 0.12, 95% CI = 0.02-0.21) and high (Badj = 0.11, 95% CI = 0.01-0.21) educational qualifications (compared with low), monthly income (Badj = 0.31 per €1,000, 95% CI = 0.26-0.36), being a current smoker (Badj = 0.94, 95% CI = 0.86-1.02), anxiety (Badj = 0.26, 95% CI = 0.02-0.50), and living in North East (Badj = 0.43, 95% CI = 0.29-0.58), North West (Badj = 0.47, 95% CI = 0.39-0.55) and South East (Badj = 0.79, 95% CI = 0.64-0.93) Germany (compared with South West), and negatively associated with age (Badj = -0.17, 95% CI = -0.21- -0.13), being female (Badj = -1.21, 95% CI = -1.28- -1.14) and depression (Badj = -0.22, 95% CI = -0.43- -0.02).ConclusionIn a large, representative sample of adults in Germany, the majority were ever-drinkers and one fifth were hazardous drinkers. Higher alcohol consumption scores were associated with being younger, male, current smoker, of high socioeconomic position, anxiety, and not living in South West Germany, and lower scores were associated with depression. These groups may benefit from targeted alcohol reduction policies and support.

Project description:BackgroundScreening for mental health problems has been shown to be effective to detect depression and initiate treatment in primary care. Current guidelines recommend periodic screening for depression and anxiety. This study examines the association of patient sociodemographic factors and clinic characteristics on mental health screening in primary care.DesignIn this retrospective cohort study, electronic medical record (EMR) data from a 14-month period from 10/15/2021 to 12/14/2022 were analyzed. Data were retrieved from 18 primary care clinics from the Corewell Health healthcare system in West Michigan. The main outcome was documentation of any Patient Health Questionnaire (PHQ-4/PHQ-9/GAD-7) screening in the EMR within the 14-month period at patient level. General linear regression models with logit link function were used to assess adjusted odds ratio (aOR) of having a documented screening.ResultsIn total, 126,306 unique patients aged 16 years or older with a total of 291,789 encounters were included. The prevalence of 14-month screening was 79.8% (95% CI, 79.6-80.0). Regression analyses revealed higher screening odds for patients of smaller clinics (<5,000 patients, aOR 1.88; 95% CI 1.80-1.98 vs. clinics >10.000 patients), clinics in areas with mental health provider shortages (aOR 1.69; 95% CI 1.62-1.77), frequent visits (aOR 1.80; 95% CI, 1.78-1.83), and having an annual physical / well child visit encounter (aOR 1.52; 95% CI, 1.47-1.57). Smaller positive effect sizes were also found for male sex, Black or African American race, Asian race, Latinx ethnicity (ref. White/Caucasians), and having insurance through Medicaid (ref. other private insurance).DiscussionThe 14-month mental health screening rates have been shown to be significantly lower among patients with infrequent visits seeking care in larger clinics and available mental health resources in the community. Introducing and incentivizing mandatory mental health screening protocols in annual well visits, are viable options to increase screening rates.

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Alcohol Consumption and Smoking During Covid-19 Pandemic: Association with Sociodemographic, Behavioral, and Mental Health Characteristics.

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