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Objective: Diabetes prevalence is increasing rapidly in rural areas of low- and middle-income countries (LMICs), but there are limited data on the performance of health systems in delivering equitable and effective care to rural populations. We therefore assessed rural-urban differences in diabetes care and control in LMICs.
Research Design And Methods: We pooled individual-level data from nationally representative health surveys in 42 countries. We used Poisson regression models to estimate age-adjusted differences in the proportion of individuals with diabetes in rural versus urban areas achieving performance measures for the diagnosis, treatment, and control of diabetes and associated cardiovascular risk factors. We examined differences across the pooled sample, by sex, and by country.
Results: The pooled sample from 42 countries included 840,110 individuals (35,404 with diabetes). Compared with urban populations with diabetes, rural populations had ∼15-30% lower relative risk of achieving performance measures for diabetes diagnosis and treatment. Rural populations with diagnosed diabetes had a 14% (95% CI 5-22%) lower relative risk of glycemic control, 6% (95% CI -5 to 16%) lower relative risk of blood pressure control, and 23% (95% CI 2-39%) lower relative risk of cholesterol control. Rural women with diabetes had lower achievement of performance measures relating to control than urban women, whereas among men, differences were small.
Conclusions: Rural populations with diabetes experience substantial inequities in the achievement of diabetes performance measures in LMICs. Programs and policies aiming to strengthen global diabetes care must consider the unique challenges experienced by rural populations.
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http://dx.doi.org/10.2337/dc21-2342 | DOI Listing |
Sci Rep
September 2025
Grupo de investigación en Biología Matemática y Computacional (BIOMAC), Departamento de Ingeniería Biomédica, Universidad de los Andes, Bogotá, Colombia.
Snakebite envenoming is a neglected tropical disease that affects mainly rural populations, where antivenom is scarce. Understanding environmental drivers of snakebite incidence is critical for public health preparedness. This study employs causal inference to assess the impact of rainfall on snakebite surges in Colombia, with broader implications for tropical regions.
View Article and Find Full Text PDFJ Safety Res
September 2025
Unité Mixte de Recherche Epidémiologique et de Surveillance Transports, Travail, Environnement (UMRESTTE), Gustave Eiffel University, Claude Bernard Lyon 1 University, Bron, France.
Background: Traffic fatalities within Powered Two-Wheelers (PTW) users are mostly due to head and thoracic injuries. This study assesses airbag use prevalence among PTW users involved in Road Traffic Crashes (RTCs) in France and aims to estimate airbag effectiveness in protecting against fatality risk.
Methods: A cross-sectional study was conducted using French national police crash data from 1 January 2019 to 31 December 2022, including a total of 69,350 PTW users.
J Genet Genomics
September 2025
State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangd
The genetic basis of early-stage salt tolerance in alfalfa (Medicago sativa L.), a key factor limiting its productivity, remains poorly understand. To dissect this complex trait, we integrate genome-wide association study (GWAS) and transcriptomics (RNA-seq) from 176 accessions within a machine learning based genomic prediction framework.
View Article and Find Full Text PDFCancer Epidemiol
September 2025
Golestan Research Center of Gastroenterology and Hepatology, Jorjani Clinical Sciences Research Institute, Golestan University of Medical Sciences, Gorgan, Iran. Electronic address:
Introduction: Early-onset breast cancer (EOBC), diagnosed in women under 45 years, is a significant health issue worldwide. Understanding the epidemiology of EOBC is crucial for developing effective prevention and detection programs. We aimed to examine EOBC incidence and temporal trends in Golestan, North of Iran, from 2004 to 2019, across ethnic regions (Turkmens vs.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
eXiT Research Group, Universitat de Girona (UdG), EPS - Edifici P-IV, Carrer Universitat de Girona, 6, Girona, 17003, Catalunya, Spain.
Background And Objective: Hybrid forecasting methods aim to overcome the limitations of classical statistical approaches and deep learning models. While statistical methods provide interpretability, they often lack predictive power. Conversely, deep learning models achieve high accuracy but act as "black boxes.
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