Evidence map›Paper›PMID 42781522›Full record

ArticleBMJ public health2026

Cardiovascular disease risk and its behavioural correlates among university students in Punjab, India: a cross-sectional analytical study.

Daljit Kaur, Ramya K Ravi, Shivani Sharma, Manju Varghese, Asad U Rehman, Priya Baby, Jaison Jacob, Lakshmi Ramamoorthy

Abstract read
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Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Daljit Kaur *Collge of Nursing, SPHE College of Nursing, Sarasawthi Group of Colleges, Mohali, Punjab, India.
Ramya K Ravi *College of Nursing, RAK Medical & Health Sciences University, Ras Al Khaimah, Ras Al Khaimah, UAE.
Shivani SharmaCollge of Nursing, SPHE College of Nursing, Sarasawthi Group of Colleges, Mohali, Punjab, India.
Manju VargheseCollege of Nursing, Fatima College of Nursing, Fatima College of Health Sciences, Al Dhafra, Abu Dhabi, UAE.
Asad U RehmanSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Priya BabyCollege of Nursing, National Institute of Mental Health and Neurosciences, Bengaluru, India.
Jaison JacobCollege of Nursing, All India Institute of Medical Sciences Bhubaneswar, Bhubaneswar, India.ORCID https://orcid.org/0000-0002-4783-5369
Lakshmi RamamoorthyCollege of Nursing, Jawaharlal Institute of Postgraduate Medical Education, Puducherry, India.ORCID https://orcid.org/0000-0003-4248-1407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cardiovascular diseases (CVDs) are increasingly affecting young adults globally, particularly in developing countries where lifestyle transitions during early adulthood contribute to the early accumulation of CVD risk factors. Identifying these risks at a younger age provides an opportunity to prevent irreversible disease. This study aimed to identify CVD risk and its associated factors among university students in Punjab, India, using a validated non-laboratory-based risk assessment tool. Materials and methods: A descriptive cross-sectional study was conducted in March 2025 among university students in Punjab, India, using purposive sampling. CVD risk was assessed using the non-laboratory-based Health Metrics Risk Score (HMRS) questionnaire. Descriptive and inferential statistics were used to analyse the data. Results: Among the 420 participants, 282 (67.1%; 95% CI 62.4% to 71.6%) were classified as having low CVD risk, while 138 (32.9%; 95% CI 28.4% to 37.6%) had moderate/high CVD risk. Common risk-related behaviours included physical inactivity (35.0%), frequent consumption of deep-fried/fast foods (46.4%), daily consumption of salty foods (30.5%), overweight/obesity (20.0%) and exposure to secondhand smoke (12.9%). In multivariable analysis, living with friends (adjusted OR (AOR)=3.12, 95% CI 1.28 to 7.57), smoking (AOR=9.86, 95% CI 1.13 to 86.14), secondhand smoke exposure (AOR=3.70, 95% CI 1.67 to 8.18), alcohol/hazardous alcohol use (AOR=2.84, 95% CI 1.14 to 7.04), frequent consumption of deep-fried/fast foods (AOR=2.05, 95% CI 1.20 to 3.49), daily fruit consumption (AOR=3.55, 95% CI 1.73 to 7.29), higher meat/poultry intake (AOR=6.93, 95% CI 3.85 to 12.49) and physical activity (AOR=5.64, 95% CI 2.92 to 10.86) were associated with increased odds of moderate/high CVD risk. Daily vegetable consumption was associated with reduced odds of moderate/high CVD risk (AOR=0.27, 95% CI 0.12 to 0.59).

Indexed as

Cardiovascular DiseasesCommunity HealthCross-Sectional StudiesEducation, NursingPublic Health

Identifiers

PMID42781522
PMCPMC13599937

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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.