Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study

Scoping review of assessment tools for, magnitudes of and factors associated with problem drinking in population-based studies

BACKGROUND

The term "problem drinking" includes a spectrum of alcohol problems ranging from excessive or heavy drinking to alcohol use disorder. Problem drinking is a leading risk factor for death and disability globally. It has been measured and conceptualised in different ways, which has made it difficult to identify common risk factors for problem alcohol use. This scoping review aims to synthesise what is known about the assessment of problem drinking, its magnitude and associated factors.

METHODS

Four databases (PubMed, Embase, PsycINFO, Global Index Medicus) and Google Scholar were searched from inception to 25 November 2023. Studies were eligible if they focused on people aged 15 and above, were population-based studies reporting problem alcohol use and published in the English language. This review was reported based on guidelines from the 'Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist'. Critical appraisal was done using the Newcastle-Ottawa Scale.

RESULTS

From the 14 296 records identified, 10 749 underwent title/abstract screening, of which 352 full-text articles were assessed, and 81 articles were included for data extraction. Included studies assessed alcohol use with self-report quantity/frequency questionnaires, criteria to determine risky single occasion drinking, validated screening tools, or structured clinical and diagnostic interviews. The most widely used screening tool was the Alcohol Use Disorder Identification Test. Studies defined problem drinking in various ways, including excessive/heavy drinking, binge drinking, alcohol use disorder, alcohol abuse and alcohol dependence. Across studies, the prevalence of heavy drinking ranged from <1.0% to 53.0%, binge drinking from 2.7% to 48.2%, alcohol abuse from 4.0% to 19.0%, alcohol dependence from 0.1% to 39.0% and alcohol use disorder from 2.0% to 66.6%. Factors associated with problem drinking varied across studies. These included sociodemographic and economic factors (age, sex, relationship status, education, employment, income level, religion, race, location and alcohol outlet density) and clinical factors (like medical problems, mental disorders, other substance use and quality of life).

CONCLUSIONS

Due to differences in measurement, study designs and assessed risk factors, the prevalence of and factors associated with problem drinking varied widely across studies and settings. The alcohol field would benefit from harmonised measurements of alcohol use and problem drinking as this would allow for comparisons to be made across countries and for meta-analyses to be conducted.

TRIAL REGISTRATION NUMBER

Open Science Framework ID: https://osf.io/2anj3.

Sociodemographic factors associated with daily tobacco smoking and binge drinking among Zambians: evidence from the 2017 STEPS survey

BACKGROUND

The burden of disease attributable to tobacco smoking and harmful alcohol consumption poses a major threat to sustainable development in most low- and middle-income countries. However, evidence on tobacco use and harmful alcohol consumption to inform context-specific interventions addressing these harmful social behaviours is limited in the African context. This study aimed to determine the sociodemographic factors associated with daily tobacco smoking and binge drinking in Zambia.

METHODS

The study stems from nationwide population-based representative survey data collected using the World Health Organization's STEPwise approach for non-communicable disease risk factor surveillance in 2017 among 18-69-year-old Zambians. The main outcomes were daily tobacco smoking and binge drinking, and the demographic and socioeconomic variables included sex, marital status, age, residence, level of education and occupation. Prevalence ratios (PR) were calculated using log-binomial regression analysis.

RESULTS

Overall, 4302 individuals (weighted percentage 49.0% men and 51.0% women) participated in the survey. The prevalence of daily tobacco smoking was 9.0%, and 11.6% of participants engaged in binge drinking, both of which were higher among men than women (17.1% vs. 1.3% and 18.6% vs. 5.3%, respectively). The adjusted prevalence of daily tobacco smoking was 14.3 (95% CI: 9.74-21.01) times higher in men than women, and 1.44 (95% CI 1.03-1.99) times higher in the > 45-year-old group compared to the 18-29-year-old group. Significant positive associations with daily tobacco smoking were found among those with no education 2.70 (95% CI 1.79- 4.07) or primary education 1.86 (95% CI 1.22-2.83) compared to those with senior secondary or tertiary education. The adjusted prevalence of daily tobacco smoking was 0.37 times lower (95% CI 0.16-0.86) among students and homemakers compared to employed participants. The adjusted prevalence of binge drinking was 3.67 times higher (95% CI 2.83-4.76) in men than in women. Significantly lower adjusted prevalences of binge drinking were found in rural residents 0.59 (95% CI: 0.46-0.77) compared to urban residents and in students/homemakers 0.58 (95% CI: 0.35-0.94) compared to employed participants.

CONCLUSION

This study shows huge differences between men and women regarding tobacco smoking and binge drinking in Zambia. A high occurrence of tobacco smoking was observed among men, older members of society and those with lower levels of education, while binge drinking was more common in men and in those living in urban areas. There is a need to reshape and refine preventive and control interventions for tobacco smoking and binge drinking to target the most at-risk groups in the country.

Tobacco use and associated factors among adults reside in Arba Minch health and demographic surveillance site, southern Ethiopia: a cross-sectional study

BACKGROUND

Tobacco use is one of the world-leading preventable killers. There was a varied prevalence of tobacco use and cigarette smoking across different areas. The aim of the study was to assess the prevalence and factors associated with current tobacco use among adults residing in Arba Minch health and demographic surveillance site (HDSS).

METHODS

A community-based cross-sectional study was conducted among adults residing in Arba Minch HDSS in 2017. The estimated sample size was 3368 individuals which were selected by simple random sampling techniques using Arba Minch HDSS dataset. Data collection tools were obtained from the WHO STEPwise. Current use of tobacco, which defined as the current use of smoked and/or smokeless tobacco, was considered as the dependent variable. A binary logistic regression model was used to identify candidate variables for the multivariable logistic regression model. An adjusted odds ratio (AOR) at a p-value of less than 0.05 was used to determine a statistically significant association between independent and dependent variables.

RESULT

The prevalence of tobacco use among adults was 20.2% (95% CI: 18.9-21.6%). The current use of smoked and smokeless tobacco were 17.1% (95%CI: 15.8-18.4%) and 9.7% (95%CI: 8.8-10.8%), respectively. The current use of tobacco was significantly associated with sex (female [AOR 0.54; 95%CI: 0.42-0.68] compared to men), age group (35-44 [AOR 1.57; 95%CI: 1.14-2.17], 45-54 [AOR 1.99; 95%CI: 1.45-2.74], and 55-64 [AOR 3.26; 95%CI: 2.37-4.48] years old compared to 25-35 years old), physical activity (moderate physical activity level [AOR 0.65; 95%CI: 0.44-0.96] compared with low) and residency (highland [AOR 4.39; 95% CI: 3.21-6.01] compared with at lowlander). Also, heavy alcohol consumption (AOR 3.97; 95% CI: 3.07-5.12), and Khat chewing (AOR 3.07(95%CI: 1.64-5.77) were also associated with the use of tobacco among the study participants.

CONCLUSION

Nearly one in five adults used tobacco currently in the study area, which is more than the national reports. Interventions for the reduction of tobacco use need to give due attention to men, older adults, uneducated, poor, and highlanders.