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Effect of community-led total sanitation on open defecation in Uganda: A propensity score-matched analysis

by John Bosco Asiimwe, Hellen Namawejje, Faith Rachel Mirembe, Annet Adong, Jolly Achola, Herbert Nabaasa, Jebena Mulusew, Jonathan Izudi, Damazo T. Kadengye

A substantial proportion (7%) of people in Uganda practice open defecation. A Community-Led Total Sanitation (CLTS) project was started in 2011 to reduce indiscriminate disposal of excreta but the effect has not been rigorously evaluated. We, therefore, evaluated the effect of CLTS on reducing open defecation in the program intervention districts in Uganda. We used the 2016 Uganda Demographic and Health Survey (UDHS) data to conduct a quasi-experimental study using a propensity score matching (PSM) approach. The intervention group consisted of districts that implemented the CLTS and the comparison group were districts that did not implement the CLTS. We matched the intervention and comparison groups on several covariates in a 1:1 ratio within a caliper of 20% of the standard deviation of the propensity score. We confirmed balance in covariates using standardized mean difference (SMD) being

Effect of alcohol consumption and tobacco smoking on psychological distress: a quasi-experimental study using the 2022 Kenya demographic health survey data

Por: Kamau · K. · Andeso · P. · Muga · W. · Karisa · A. · Musyoki · D. · Kuria · J. M. · Kadengye · D. T. · Izudi · J.
Objective

Alcohol consumption and tobacco smoking have the potential to increase psychological distress. We evaluated the effect of alcohol consumption and tobacco smoking on psychological distress among adults in Kenya using a quasi-experimental study.

Design

Quasi-experimental study.

Setting

Kenya.

Participants

Adults aged 15–54 years.

Methods

We analysed the 2022 Kenya Demographic Health Survey data. The primary exposure was alcohol consumption, and tobacco smoking was the secondary exposure. The outcome was psychological distress. We employed propensity score matching to achieve comparability on observed covariates between the exposed and unexposed groups. We then performed conditional logistic regression analysis, adjusting for matched pairs to establish a cause-effect relation between the exposures of interest and the outcome. We reported the OR and 95% CI. We conducted a sensitivity analysis using Mantel–Haenszel bounds to check for the robustness of the cause-effect findings to unmeasured confounders.

Results

Of the 46 609 participants included in the study, 6450 (13.8%) consumed alcohol, while 2353 (5.0%) smoked tobacco. Overall, 1091 (2.3%) participants reported psychological distress. Among alcohol consumers, 352 (32.3%) reported psychological distress, compared with 115 (10.5%) among tobacco smokers. In a 1:1 ratio, we matched 10 070 individuals based on alcohol consumption and 4270 based on tobacco smoking status. In propensity-score-matched analysis, alcohol consumption (OR 2.76, 95% CI 2.06 to 3.70) and tobacco smoking (OR 2.04, 95% CI 1.29 to 3.24) showed an effect on psychological distress.

Conclusion

This study found that alcohol consumption and tobacco smoking increase psychological distress among adults aged 15–54 years in Kenya. There is, therefore, a need to screen for psychological distress among people who drink alcohol or smoke tobacco to provide them with prompt mental health interventions.

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