Background: Our study aims to estimate hypertension (HTN) prevalence and its predictors in rural and urban area.
Methods: We conducted a cross-sectional population-based study involving subjects aged 15 to 65 years. Collected data (sociodemographic, blood pressure, weight, height, and blood glucose) were analyzed using SPSS version 20. A logistic regression was conducted to look for factors associated with HTN.
Results: Mean was 47 years. High blood pressure (HBP) prevalence was 21.1 and 24.7%, respectively, in rural and urban setting. In rural area age group significantly predicted hypertension with age of 60 years having more-than-4-times risk of hypertension, whereas, in urban area age group, sex and body mass index were predictors with OR: HTN raising from 2.06 [1.24-3.43] for 30-44 years old to 7.25 [4.00-13.13] for 60 years and more using <30 years as reference. Female sex was protective with OR of 0.45 [0.29-0.71] and using normal weight as reference OR for overweight was 1.54 [1.04-2.27] and 2.67 [1.64-4.36] for obesity.
Conclusion: Hypertension prevalence is high and associated factors were age group in rural area and age group, female sex, and body mass index in urban area.
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http://dx.doi.org/10.1155/2018/6959165 | DOI Listing |
Epilepsia
January 2025
Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Objective: To assess whether social determinants of health (SDOHs) are associated with the first antiseizure medication (ASM) prescribed for newly diagnosed epilepsy.
Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were followed, and the protocol registered (CRD42023448998). Embase, Medline, and Web of Science were searched up to July 31, 2023.
BMC Med Educ
January 2025
School of Health Management, Southern Medical University, Guangzhou, 510515, China.
Background: Public health professionals (PHPs) have increasing information needs to inform evidence-based public health decisions and practice, which requires good information literacy. A comprehensive and reliable assessment tool is necessary to assess PHPs' literacy and guide future promotion programs. However, there is a lack of measurement tools specifically for the information literacy of PHPs.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Background: Healthcare resources have been concentrated in urban areas, leaving rural regions vulnerable to poorer health outcomes. The Problem Solving for Better Health (PSBH) program was implemented to enhance healthcare systems in resource-limited regions by training personnel to maximize existing resources in problem-solving. This study evaluated the implementation effectiveness of PSBH-Nursing (PSBHN), a nationally led initiative to train nurses in PSBH in Lesotho.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
University of California, San Francisco Institute for Health & Aging, #123K, 490 Illinois Street, San Francisco, CA, 94158, USA.
Background: Mobile Health Clinics (MHCs) are an alternate form of healthcare delivery that may ameliorate current rural-urban health disparities in chronic diseases and have downstream impacts on the health system by reducing costs. Evaluations of providers' time allocation on MHCs are scarce, hindering knowledge transfer related to MHC implementation strategies.
Methods: Retrospective economic cost was assessed using business ledgers and expert assessments in 2023 US Dollar (USD) from 2022 to 2023.
BMC Public Health
January 2025
Department of Health Sciences, Carleton University, 2305 Health Sciences Building, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada.
Background: The aim of this study is to explore young rural women's perceived barriers in accessing healthcare services with a focus on the interrelation between three marginalization criteria: age (youth), gender (female), and place of residence (rural areas) in Australia, Canada, and Sweden.
Methods: Using a qualitative interpretive approach, we conducted semi-structured in-depth interviews with 31 young women aged 18 to 24 in selected rural communities. Data collection took place from May 2019 to January 2021, and the qualitative data were analyzed using NVivo software.
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