Prevalence and factors associated with hypertension among rural community dwellers in a local government area, South West Nigeria

Prevalence and associated factors of hypertension among type 2 diabetes mellitus patients in Lautech teaching hospital, Osogbo, Nigeria

Background

We assessed the prevalence and risk factors of hypertension among type-2 Diabetes Mellitus (DM) patients attending Ladoke Akintola University of Technology (LAUTECH) Teaching Hospital, Osogbo, Osun State Nigeria.

Methods and materials

A hospital-based retrospective study was conducted among 143 type-2 DM patients in LAUTECH Teaching Hospital. Hypertension was defined as systolic BP ≥140 and or diastolic BP ≥90. Data were analysed using descriptive statistics, chi-square, and binary logistic regression.

Results

The mean age of the respondents was 56.2 ±15.79 years. Hypertension was common (32.1%) among type-2 DM participants. Respondents aged 45-64 years (OR= 5.96, 95%CI= 1.60 - 19.12) had the likelihood of being hypertensive. Type-2 DM patients who were not in union (AOR=6.64, 95%CI=1.79 - 24.52) were more likely to be hypertensive. The likelihood of hypertension was lower (AOR= 0.28, 95%CI=0.11 - 0.66) among participants who engaged in moderate physical activity compared to those who engaged in low physical activity.

Conclusion

This study identified the age group 45-64 years, not being in a union and engagement in low physical activity as associated factors for hypertension among Diabetes Mellitus participants. Hypertension prevention/treatment should be considered in type-2 Diabetes Mellitus routine treatment.

Modelling of South African Hypertension: Comparative Analysis of the Classical and Bayesian Quantile Regression Approaches

Hypertension has become a major public health challenge and a crucial area of research due to its high prevalence across the world including the sub-Saharan Africa. No previous study in South Africa has investigated the impact of blood pressure risk factors on different specific conditional quantile functions of systolic and diastolic blood pressure using Bayesian quantile regression. Therefore, this study presents a comparative analysis of the classical and Bayesian inference techniques to quantile regression. Both classical and Bayesian inference techniques were demonstrated on a sample of secondary data obtained from South African National Income Dynamics Study (2017–2018). Age, BMI, gender male, cigarette consumption and exercises presented statistically significant associations with both SBP and DBP across all the upper quantiles (τ∈{0.75,0.95}). The white noise phenomenon was observed on the diagnostic tests of convergence used in the study. Results suggested that the Bayesian approach to quantile regression reveals more precise estimates than the frequentist approach due to narrower width of the 95% credible intervals than the width of the 95% confidence intervals. It is therefore suggested that Bayesian approach to quantile regression modelling to be used to estimate hypertension.

Non communicable diseases persist despite being overshadowed by Covid-19 globally

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