Evidence map›Paper›PMID 39629393›Full record

ArticleJournal of family medicine and primary care2024

Rural health dynamics: Exploring the prevalence of prediabetes and prehypertension among the rural population of Puducherry district.

S Thamizhmaran, Madonna J Dsouza, Divyabharathy Ramadass, J Arun Daniel

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

S ThamizhmaranDepartment of Community Medicine, Mahatma Gandhi Medical College and Research Institute, SBVU, Puducherry, India.
Madonna J DsouzaDepartment of Community Medicine, Mahatma Gandhi Medical College and Research Institute, SBVU, Puducherry, India.
Divyabharathy RamadassDepartment of Community Medicine, Mahatma Gandhi Medical College and Research Institute, SBVU, Puducherry, India.
J Arun DanielDepartment of Community Medicine, Aarupadai Veedu Medical College and Research Institute, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Noncommunicable diseases are a leading cause of death worldwide, claiming 41 million lives annually. Notably, type 2 diabetes not only presents well-known complications but also increases the risk of cardiovascular disease silently. Furthermore, concerningly high rates of undiagnosed diabetes and hypertension emphasize the need for improved diagnostic capabilities and enhanced awareness. The growing prevalence of prediabetes, a precursor to diabetes, further underscores the urgency for proactive action. Therefore, addressing the silent killers through early detection and comprehensive management strategies is crucial to combat this global health crisis. Objective: The objective of the study was to assess the prevalence of prediabetes and prehypertension and the factors associated with them among the rural population of Puducherry district. Methodology: A community-based cross-sectional study was conducted among 203 adults more than 30 years of age residing in rural field practice areas of a private medical college in the Puducherry district over 8 months (January 2023 to August 2023). Multistage sampling was employed. After obtaining written informed consent, data collection included a pretested questionnaire, and anthropometric measurements (weight, height, waist circumference, hip circumference) and blood pressure measurements were recorded; on subsequent days, fasting capillary blood sugar levels were checked. The data were analyzed using SPSS v21. Results: On categorization based on the Indian Diabetes Risk Score, the results showed that 14.4% of participants were high-risk for diabetes, with 74% and 11.5% falling into medium- and low-risk categories, respectively. Also, the prevalence of hypertension was 31.3%, with an additional 13% prehypertensive and 55.8% normotensive. Notably, 64.6% of hypertensive individuals had Stage I and 35.4% had Stage II. Family history, self-reported diet, physical activity, and body mass index were significantly associated with prediabetes/diabetes ( Conclusion: Family history emerged as a significant risk factor for both diabetes and hypertension, highlighting the importance of genetic predisposition and the potential benefit of targeted family-based interventions. These findings raise concerns regarding the high prevalence of diabetes and hypertension risk factors within this population.

Indexed as

IDRSprediabetesprehypertensionPuducherryrural

Identifiers

PMID39629393
PMCPMC11610848

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.