ReviewCureus2025
Urban-Rural Health Transitions in India: A Comprehensive Review of Non-communicable Disease Trends and Risk Landscapes.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Urban Consumer Behaviors in Kochi, India: Food Choice Motivations, Food Label Literacy, and Nutrition Panel Use.International journal of food science · 2026Article
- Comprehensive assessment of health disparities in tribal and non-tribal population in India: a sex- and age-stratified cross-sectional study.Frontiers in public health · 2026Article
- Artificial Intelligence-Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study.Journal of medical Internet research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
India is experiencing a dual burden of non-communicable disease (NCD) risk factors, with distinct patterns emerging across rural and urban geographies. While behavioral risks such as tobacco and alcohol use remain entrenched in rural settings, urban populations are disproportionately affected by metabolic risks such as hypertension, diabetes, and obesity. This review aims to synthesize national data to understand the geographic divergence of NCD risk factors and their implications for public health policy. A comprehensive literature review was conducted using data from the National Family Health Surveys (NFHS-4 and NFHS-5), the National Noncommunicable Disease Monitoring Survey (NNMS), and the Indian Council of Medical Research - India Diabetes (ICMR-INDIAB) study. Risk factors were categorized into behavioral (e.g., tobacco use and alcohol consumption), metabolic (e.g., hypertension, overweight, and raised blood sugar), and biochemical (e.g., dyslipidemia) domains. Comparative analyses were performed across urban and rural populations to assess temporal trends and disparities. The review showed that rural populations demonstrated a higher prevalence of tobacco use (42.7% in rural men vs. 28.8% in urban men) and alcohol consumption, while urban populations had higher rates of physical inactivity, overweight, hypertension, and raised blood sugar. Obesity among rural women is also rising, indicating a shifting nutrition transition. Biochemical risk factors such as hypercholesterolemia were more prevalent in urban areas but remain underdiagnosed across both geographies. India's NCD burden is characterized by a clear urban-rural divide in risk factor prevalence, necessitating geographically differentiated policy responses. Public health strategies must integrate behavior change in rural areas and metabolic risk management in urban settings, while addressing gender and equity gaps. Strengthening primary healthcare and aligning intersectoral efforts are crucial to achieving long-term NCD control and health equity.
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Registered trials
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.