Key result
CBAC screening identifies ~65% of rural middle-aged adults as high risk for non-communicable diseases.
Why the study?
Non-communicable diseases account for a large share of mortality and disability in India, motivating an assessment of the association between non-communicable disease risk scores and socio-demographic variables among middle-aged rural adults.
Cross-Sectional (n=400)
No
Nearly two-thirds of middle-aged adults in rural Lucknow are at high risk for non-communicable diseases based on community screening, with risk significantly increasing with age, highlighting the need for targeted rural preventive initiatives.
Answers are grounded in this paper and cite their sources.
Supports age-stratified NCD screening in rural India; leaves open whether interventions improve outcomes.
Background: In India, non-communicable diseases accounted for about 65% of all deaths in 2019. Over the 26 years from 1990 to 2016, a clear shift occurred in the disease pattern, from communicable to noncommunicable conditions. During this time, the share of disability-adjusted life years (DALYs) due to NCDs increased significantly, rising from 30.5% in 1990 to 55.4% in 2016. Lifestyle-related risk factors have played a major role in this increase, with smoking contributing to 15.5% of cardiovascular disease cases and 39.8% of cancer cases, while overweight and obesity were responsible for approximately 72.8% of diabetes cases. 1 Aim: To find out the association between the risk score regarding non-communicable diseases and their selected socio-demographic variables. Methods: The study used a cross-sectional research design and a quantitative research methodology. Convenience sampling was used to identify 400 middle-aged persons between the ages of 45 and 59 for the study. A systematic sociodemographic questionnaire and the Community-Based Assessment Checklist (CBAC), created by the Indian government, were used to gather data. Result: According to the study's findings, 34.75% of respondents were at a low risk of non-communicable diseases, while 65.25% were at a high risk. According to the study's findings, 34.75% of respondents were at low risk of non-communicable diseases, whereas 65.25% were at high risk. With a standard deviation of 1.30, the average risk score was 5.04. Additionally, the study discovered that other sociodemographic factors like religion, occupation, education, family type, income, gender, and body mass index did not significantly correlate with the risk of non-communicable illnesses. Conclusion: According to the study's findings, a significant percentage of middle-aged persons living in rural areas are very susceptible to non-communicable diseases. To lessen the burden of NCDs, early screening, health education, lifestyle adjustment, and community-based preventative initiatives are crucial. The results of this study could aid policymakers and medical practitioners in creating efficient strategies for the prevention and management of non-communicable illnesses in rural communities
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Singh et al. (2026) conducted a cross-sectional in Risk for non-communicable diseases (n=400). Selected socio-demographic variables (including age, gender, religion, occupation, family type, education, monthly income, BMI, past medical and surgical history) was evaluated on Risk level for non-communicable diseases assessed via the Community-Based Assessment Checklist (CBAC) (p=0.00002). Community-Based Assessment Checklist screening identified 65.25% of rural middle-aged adults as high risk for non-communicable diseases, associated with age.
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