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Prevalence of prediabetes and associated factors of prediabetic stages: a cross-sectional study among adults in Nepal
OBJECTIVES: To estimate the prevalence of prediabetes and to assess the association of prediabetic stages with sociodemographic, lifestyle and clinical factors DESIGN: Cross-sectional study at the screening and inclusion stage of a Diabetes Prevention Education Program (DiPEP) trial SETTING: The stu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806022/ https://www.ncbi.nlm.nih.gov/pubmed/36581426 http://dx.doi.org/10.1136/bmjopen-2022-064516 |
Sumario: | OBJECTIVES: To estimate the prevalence of prediabetes and to assess the association of prediabetic stages with sociodemographic, lifestyle and clinical factors DESIGN: Cross-sectional study at the screening and inclusion stage of a Diabetes Prevention Education Program (DiPEP) trial SETTING: The study was conducted in two urban communities in Nepal (October 2019–March 2020). PARTICIPANTS: A total of 6222 residents of two study sites, aged 18–64 years and without a history of diabetes, were eligible for prediabetes screening. Exclusion criteria were pregnancy, history of diabetes and critical illness. A total of 291 participants with prediabetes were included in this study. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence of prediabetes based on glycated haemoglobin (HbA1c) criteria (5.7%–6.4%) was the primary outcome of the study. Odds Ratio and 95% CI were estimated to assess the associations between the outcome prediabetic stages (5.7%–5.9% vs 6.0%–6.4%) and sociodemographic, lifestyle and clinical factors in both unadjusted and adjusted models. RESULTS: Out of 6222 screened participants, 308 (5%, 95% CI: 4.4% to 5.5%) individuals were detected with prediabetes based on HbA1c. The mean age of 291 responded participants was 50.3±7.6 years and 67% were females. Among them, 78% aged 45–64 years, 97% had central obesity, 90% had high waist–hip ratio, 63% were hypertensive and 66% had no family history of diabetes. Approximately, 54% and 46% of individuals with prediabetes had HbA1c of 5.7%–5.9% and 6.0%–6.4%, respectively. Female gender was associated with prediabetes with HbA1c 6.0%–6.4% (OR, 1.98, 95% CI: 1.07 to 3.67) in the adjusted model. CONCLUSION: The estimated prevalence of prediabetes was 5% among screened participants, and female gender was associated with the prediabetic stage. As a large proportion of the population with prediabetes were not aware of their status, this study demonstrates a need for regular community screening programmes to detect individuals with prediabetes and provide them a comprehensive lifestyle intervention for diabetes prevention. TRIAL REGISTRATION NUMBER: NCT04074148, 2019/783. |
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