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

Frequency of cigarette smoking and its associated factors among men in East Africa: a pooled prevalence analysis of national survey using multinomial regression

BACKGROUND

Despite the harmful effects of smoking, there have been few studies to pinpoint the factors of this habit, and little is known about it in the East African region. For this reason, this study sought to determine the frequency and factors of cigarette smoking among men in the region.

METHODS

Data from recent demographic and health surveys carried out in ten East African countries between 2015 and 2022 were analyzed in this study. Data from 87,022 men was collected. The key factors affecting the smoking rates in the area were investigated using binary and multiple multinomial logistic regression. To ascertain if variables were statistically significant in the final model for binary regression and multiple regression, P values of ≤ 0.2 and < 0.05 were used respectively.

RESULTS

Overall, about 14.69% of people currently smoke cigarettes. Of this about 11.03 (95% CI = 10.82, 11.24) was for daily active tobacco use. As compared to < 26-year-old men, men with an age range of 26-35 years (RRR = 2.17, 95% CI: 2.01,2.34), 36-45 years (RRR = 2.82, 95% CI: 2.60, 3.07), and > 45 years old (RRR = 3.68, 95% CI: 3.38, 4.02), were using cigarettes daily rather than no-smoking cigarettes. Men who had begun their first sexual intercourse at the age of 7-19 years (RRR = 6.27,95% CI, 5.35,7.35), 20-25 years (RRR = 4.01, 95% CI, 3.40,4.72), and greater than 25 years old (RRR = 3.08, 95% CI, 2.55,3.71) have shown a higher relative risk ratio to smoke cigarette daily rather than using not smoke cigarette respectively, married (RRR = 0.86, 95% CI, 0.79,0.93), divorced or widowed (RRR = 2.51, 95% CI, 2.27,2.77), middle wealth index (RRR = 2.11, 95% CI 1.98,2.24), and rich (RRR = 1.44, 95% CI, 1.34,1.54), secondary/higher education (RRR = 0.72, 05% CI, 0.66,0.77), rural men (RRR = 0.69, 95% CI, 0.65,0.73), employed men (RRR = 1.26,95% CI, 1.17,1.36), mass media exposure (RRR = 0.76, 95% CI, 0.73,0.81), men who have one sex partner (RRR = 1.23,95% CI,1.13,1.35), and more than one sex partner (RRR = 1.63, 95% CI, 1.47,1.79) more times as compared to those participants who had no sex partner respectively.

CONCLUSIONS

Men in East African nations were substantially more likely to smoke cigarettes if they were older, had less education, had a higher wealth index, were divorced or widowed, had many sexual relationships, had early sexual activity, resided in an urban area, were employed, or had no media exposure. The identified factors should be considered by policymakers and public health professionals to lower smoking initiation and increase smoking cessation among men.

Relationships between physical activity and other health-related measures using state-based prevalence estimates

Background

Both physical activity and muscle-strengthening activity have known relationships with other health-related variables such as alcohol and tobacco use, diet, and health-related quality of life (HRQOL). The purpose of this study was to explore and quantify the associations between physical activity measures and health-related variables at the higher state level.

Methods

This cross-sectional study used data from the 2017 and 2019 Behavioral Risk Factor Surveillance System surveys. State-based prevalence (%) estimates were computed for meeting physical activity guidelines (PA), meeting muscle-strengthening activity guidelines (MS), both PA and MS (MB), drinking alcohol (D1), heavy alcohol drinking (HD), fruit consumption (F1), vegetable consumption (V1), good self-rated health (GH), overweight (OW), obesity (OB), current smoking (SN), and smokeless tobacco use (SL). Descriptive statistics, correlation coefficients, and data visualization methods were employed.

Results

Strongest associations were seen between PA and F1 (2017: r=0.717 & 2019: r=0.695), MS and OB (2017: r=-0.781 & 2019: r=-0.599), PA and GH (2017: r=0.631 & 2019: r=0.649), PA and OB (2017: r=-0.645 & 2019: r=-0.763), and MB and SN (2017: r=-0.713 & 2019: r=-0.645). V1 was associated only with PA (2017: r=0.335 & 2019: r=0.357) whereas OW was not associated only with PA. Canonical correlation analysis showed the physical activity variables were directly related (r c=0.884, P<0.001) to the health variables.

Conclusion

This study used high-level data to support the many known relationships between PA measures and health-related variables.

Prevalence of Smoking Various Tobacco Types in the Kazakhstani Adult Population in 2021: A Cross-Sectional Study

Tobacco use was the second-leading risk factor for death, accounting for 15.4% of total deaths in 2019. In 2019, 20.4% (2.7 million) of the adult population in Kazakhstan, 36.5% of men, and 6.0% of women smoked tobacco. A cross-sectional study of a random sample (n = 1201) was conducted between October and December 2021 in accordance with the STEPwise approach. The tobacco-use questions were focused on current and previous smoking status, initiation and duration of smoking, amount of tobacco use, exposure to secondhand smoke, and information related to quitting smoking. From 20.8% of smokers, 93.8% of men and 80.2% of women use tobacco products daily, χ2 = 10.983, p-score < 0.001. The earliest initiation of smoking was 6 years old. The prevalence of smoking tobacco products in Kazakhstan is 20.8%, which means that every fifth adult smokes. In addition, the proportion of smokers among men was 38.5%, and among women, it was 10.1%. A total of 93.8% of men and 80.2% of women smoked daily. The role of healthcare professionals in smoking prevention is very low, and only 16.9% of respondents have been advised to quit smoking in the last 12 months. New interventions for tobacco smoking prevention are urgently needed in Kazakhstan.

Current alcohol, tobacco, and khat use and associated factors among adults living in Harari regional state, eastern Ethiopia: A community-based cross-sectional study

Background

Psychoactive substance use becomes a major public health and socioeconomic problem worldwide. Despite its burden and consequences, there is no community-based study conducted on psychoactive substance use and associated factors in eastern Ethiopia. Therefore, this study aimed to assess the magnitude and determinants of current alcohol, tobacco, and khat among adults living in Harari regional state, eastern Ethiopia.

Methods

A community-based cross-sectional study was conducted on 955 adults living in Harari regional state. Participants were randomly recruited using a simple random sampling technique. Data were collected by interviewer-administered structured and semi-structured questionnaires. Data were entered into Epi Data version 3.1 and exported to Stata version 14.0 for analysis. Logistic regression analysis was performed to determine the association between the outcome and independent variables, and the statistical significance was declared at a p < 0.5.

Results

Of 955 eligible participants, 95.29% participated in the study. The overall prevalence of current alcohol use, tobacco use, and khat use in this study was 8.24, 14.5, and 63.30%, respectively. The availability of alcohol, being unemployed, and being a current khat user were significantly associated with current alcohol use. Being male, having a low level of education, having peer pressure, having a common mental disorder, being a current alcohol user, and being a khat user were identified as significant predictors for current tobacco use. The age between 31 and 40 years, being a Muslim religion follower, being a farmer, being a current tobacco user, and availability of khat were significantly associated with current khat use.

Conclusion and recommendations

The prevalence of psychoactive substance use in the study area was relatively high compared with that of previous studies. By considering these determinants, screening, early identification, and developing appropriate intervention strategies to prevent and tackle current alcohol, tobacco, and khat use in the community should be of great concern.