Key result
Adults from non-poor households had significantly higher odds of hypertension than those from poor households (IPW AOR 1.76, 95% CI 1.21-2.57).
Why the study?
In Lesotho, a rising burden of hypertension has accompanied rapid urbanization and lifestyle transitions, yet the role of socioeconomic factors remains inadequately understood.
Does non-poor household wealth status increase the odds of hypertension in adults aged 18-49 in Lesotho?
Cross-Sectional (n=5,457)
Does non-poor household wealth status increase the odds of hypertension in adults aged 18-49 in Lesotho?
Odds Ratio: 1.76 (95% CI 1.21–2.57)
Absolute Event Rate: 24.99% vs 13.1%
p-value: p=<0.05
In Lesotho, household wealth is independently associated with higher odds of hypertension, suggesting that lifestyle transitions are concentrating cardiovascular risk among more affluent groups.
May warrant wealth-stratified hypertension screening in Lesotho; leaves open causality and need for longitudinal confirmation.
In Lesotho, rapid urbanization and lifestyle transitions have contributed to a rising burden of hypertension, yet the role of socioeconomic factors remains inadequately understood. This study examined the independent and joint associations of household wealth and educational attainment with hypertension among adults in Lesotho. We analyzed data from 5,457 adults aged 18–49 years from the 2023–2024 Lesotho Demographic and Health Survey. Hypertension was defined as systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg, self-reported prior diagnosis by a health professional, or current use of antihypertensive medication. The main exposures were household wealth status (poor vs non poor) and educational attainment (below secondary vs secondary or higher). Propensity scores were estimated using a super learner algorithm and applied through one-to-one nearest neighbor matching (PS matched) and inverse probability weighting (IPW) to adjust for covariates. Weighted logistic regression models generated adjusted odds ratios (AORs) and 95% confidence intervals (CIs). Overall, 21.2% (weighted) of participants were hypertensive. Adults from non poor households had significantly higher odds of hypertension than those from poor households (PS matched AOR 1.56, 95% CI 1.13–2.14; IPW AOR 1.76, 95% CI 1.21–2.57). Educational attainment alone was not significantly associated with hypertension. The wealth related gradient persisted across education strata, with the highest odds observed among non poor adults with secondary or higher education (AOR 2.06, 95% CI 1.34–3.16). Household wealth, but not education, was independently associated with hypertension among adults in Lesotho.
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Gupta et al. (2026) conducted a cross-sectional in Hypertension (n=5,457). Household wealth status (non-poor vs poor) vs. Poor household wealth status was evaluated on Hypertension status (systolic BP ≥140 mmHg, diastolic BP ≥90 mmHg, prior diagnosis, or current antihypertensive medication) (AOR 1.76, 95% CI 1.21-2.57, p=<0.05). Adults from non-poor households had significantly higher odds of hypertension than those from poor households (IPW AOR 1.76, 95% CI 1.21-2.57).
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