Predictors of Hypertension among Healthcare Practitioners in Sunyani Metropolis, Ghana

Abstract Introduction: Hypertension is increasingly common among medical practitioners in developing countries such as Ghana. However, data on factors influencing hypertension among healthcare practitioners is scarce. This study aimed to identify the predictive variables of hypertension among healthcare practitioners in Sunyani metropolis, Ghana. Method: 520 participants were selected for this cross-sectional study using simple random sampling. Participants’ data were collected in person using a structured questionnaire. Using Stata version 16, the data were analysed descriptively and inferentially at a confidence level of 95%, and a P -value <0.05. Results: The average age of participants was 26 years, and the prevalence of hypertension was 7%. Predictors of hypertension among nurses were practitioners with no alternative income ( P = 0.007), farming ( P =0.014), trade ( P =0.034), monthly income between 1,000 and 2,000 cedis ( P =0.040), 2,001 and 3,000 cedis ( P =0.046), family history of hypertension ( P =0.009), smoking ( P =0.020), and non-sharing of tasks ( P =0.012). Conclusion: Significant predictors of hypertension among healthcare practitioners have been documented. Medical practitioners need to be sensitised and trained through workshops, seminars, and in-service training to perform regular health check-ups and adopt positive practices that promote their health and well-being in the metropolis.

Authors

Institutions

Publication Details

Journal
Journal of Primary Care Specialties
Published
2025-09-01
DOI
https://doi.org/10.4103/jopcs.jopcs_12_25
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of Hypertension among Healthcare Practitioners in Sunyani Metropolis, Ghana

Maxwell Owusu Peprah, Mark Danquah, Eunice Fordjour, Isaac Awintuen Agorinya et al.
Journal of Primary Care Specialties
Blood Pressure and Hypertension Studies
article

Predictors of Hypertension among Healthcare Practitioners in Sunyani Metropolis, Ghana

Maxwell Owusu Peprah, Mark Danquah, Eunice Fordjour, Isaac Awintuen Agorinya, Fedilis Atibila, Elizabeth Essuah
article en

Abstract

Abstract Introduction: Hypertension is increasingly common among medical practitioners in developing countries such as Ghana. However, data on factors influencing hypertension among healthcare practitioners is scarce. This study aimed to identify the predictive variables of hypertension among healthcare practitioners in Sunyani metropolis, Ghana. Method: 520 participants were selected for this cross-sectional study using simple random sampling. Participants’ data were collected in person using a structured questionnaire. Using Stata version 16, the data were analysed descriptively and inferentially at a confidence level of 95%, and a P -value <0.05. Results: The average age of participants was 26 years, and the prevalence of hypertension was 7%. Predictors of hypertension among nurses were practitioners with no alternative income ( P = 0.007), farming ( P =0.014), trade ( P =0.034), monthly income between 1,000 and 2,000 cedis ( P =0.040), 2,001 and 3,000 cedis ( P =0.046), family history of hypertension ( P =0.009), smoking ( P =0.020), and non-sharing of tasks ( P =0.012). Conclusion: Significant predictors of hypertension among healthcare practitioners have been documented. Medical practitioners need to be sensitised and trained through workshops, seminars, and in-service training to perform regular health check-ups and adopt positive practices that promote their health and well-being in the metropolis.

Journal of Primary Care SpecialtiesVol. 6(3)
University of Hertfordshire (GB), Catholic University College of Ghana (GH), University of Health and Allied Sciences (GH), Presbyterian University, Ghana (GH), Sunyani Technical University (GH)
Openalex Percentile: Top 31%
Blood Pressure and Hypertension Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.