Impact of alcohol on coronary heart disease in Indian men
Abstract
Background Moderate alcohol consumption is known to be protective against coronary heart disease (CHD). However, the INTERHEART study, a case-control study of acute myocardial infarction (MI) patients, revealed that alcohol consumption in South Asians was not protective against CHD. We therefore planned to study cardiovascular risk factor and CHD prevalence among male alcohol users as compared to age matched lifetime abstainers.Methods The subjects for this study were recruited from a cross-sectional survey carried out among employees and their family members aged 20-69 years in 10 medium-to-large industries from diverse sites in India, using a stratified random sampling technique. Information on education, behavioral, clinical and biochemical risk factors of CHD and alcohol use was obtained through standardized instruments. CHD diagnosis was based on Rose Questionnaire or a prior physician diagnosed CHD.Results A total of 4465 subjects were present or past alcohol users. The mean age of alcohol users and lifetime abstainers was 42.8+/-11.0 years and 42.8+/-11.1 years, respectively (p=0.90). Systolic blood pressure and diastolic blood pressure were significantly higher in alcohol users (128.7+/-17.6 mmHg/80.1+/-11.3 mmHg) as compared to lifetime abstainers (126.9+/-15.9 mmHg/79.5+/-10.3 mmHg, p<0.01). Fasting blood sugar in alcohol users (98.7+/-30.5 mg%) was also significantly higher than lifetime abstainers (96.6+/-26.0 mg%, p<0.01). Total cholesterol was lower in alcohol users (179.1+/-41.1 mg%) as compared to lifetime abstainers (182.7+/-38.2 mg%, p<0.01). HDL cholesterol was higher in alcohol users (42.9+/-10.8 mg%) as compared to lifetime abstainers (41.3+/-10.0 mg%, p<0.01). Body mass index (BMI) was lower in alcohol users as compared to lifetime abstainers (22.7+/-4.1 kg/m2 vs. 24.0+/-3.3 kg/m2, p<0.001). Tobacco use was significantly higher in alcohol users (63.1% vs. 20.7%). The odds ratio (OR) of having CHD after adjusting for tobacco use, BMI and education was 1.4 (95%CI 1.0-1.9) in alcohol users as compared to controls. The OR was 1.2 (95%CI 0.8-1.6) in occasional alcohol users, 1.6 (95%CI 1.0-2.2) in regular alcohol users and 2.1 (95% CI 1.1-3.0) in past alcohol users as compared to controls.Conclusion We did not observe an inverse (protective) association between alcohol intake and the prevalence of CHD. In contrast, our study indicated an association in the reverse direction, suggesting possible harm of alcohol for coronary risk in Indian men. This relationship needs to be further examined in large, prospective study.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
There are indications that the beneficial effect on ischaemic outcomes cannot be found in certain countries such as India.
“However, the situation may be more complex, as there are indications that the beneficial effect on ischaemic outcomes cannot be found in certain countries such as India 263, 264.”
From The relationship between different dimensions of alcohol use and the burden of disease—an update (2017) · cites this paper as [264]
The citation lists haven’t been fetched yet
References 24 · Cited by 43
- Authors
- Roy, A., Prabhakaran, D., Jeemon, P., Thankappan, K. R., Mohan, V., Ramakrishnan, L., Joshi, P., Ahmed, F., Mohan, B. V. M., Saran, R. K., Sinha, N., & Reddy, K. S.
- Affiliations
- All India Institute of Medical Sciences (IN)
- Centre for Chronic Disease Control (IN)
- Sree Chitra Thirunal Institute for Medical Sciences and Technology (IN)
- Madras Diabetes Research Foundation (IN)
- Government Medical College (IN)
- The Apollo University (IN)
- Narayana Health (IN)
- King George's Medical University (IN)
- Sanjay Gandhi Post Graduate Institute of Medical Sciences (IN)
- Corresponding author
- Reddy, K.S.
- ORCID
- Venue
- Atherosclerosis
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 210
- Issue
- 2
- Pages
- 531-535
- ISSN
- 0021-9150 (ISSN-L)
- OpenAlex
- W2015119836
- Cited by
- 43
- References
- 24
- Citations by year
- 2025: 4 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 2 · 2015: 5 · 2014: 5 · 2013: 6 · 2012: 3
- FWCI
- 2.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Atherosclerosis (publishedVersion)
- PubMed (publishedVersion)
- Funders
- World Health Organization
- Ministry of Health and Family Welfare
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- alcohol consumption, coronary artery disease, cardiovascular risk factors, hypertension, fasting blood glucose, total cholesterol, HDL cholesterol, body mass index, tobacco use, alcoholism, South Asian men, India, INTERHEART study, acute myocardial infarction, Rose questionnaire, coronary artery disease prevalence
- MeSH terms
- Adult, Age Factors, Aged, Alcohol Drinking, Alcoholism, Coronary Disease, Cross-Sectional Studies, Humans, India, Male, Middle Aged, Surveys and Questionnaires, Risk Factors, Health Behavior, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review