Population-Based Cross-Sectional Study to Assess Alcohol Drinking Pattern and Subjective Health
Authors/Creators
- 1. Associate Professor, Department of Orthopedics, GMC, Patiala
- 2. Assistant Professor, Department of Physiology GMC, Patiala
- 3. Assistant Professor, Department of Anatomy GMC, Patiala
- 4. Associate Professor, GGSMC, Faridkot, Punjab
Description
Introduction: The World Health Organization indicates that alcoholic beverages are consumed by about 2 billion people all over the world amongst whom 76.3 million are reported to be diagnosed with alcohol use disorders. Various patterns of alcohol consumption tend to act as risk factors, leading to biochemical and biological effects, thereby producing long-term consequences on human health as well as affecting the day to day life. Materials and Methods: A questionnaire-based study was conducted to assess the patterns of alcohol consumption in a group of medical fraternity belonging to various Medical Colleges of Punjab. The Google Form based on The Alcohol Use Disorders Identification Test Questionnaire was prepared and randomly circulated for period of 3months and all responses were collected. Results: Frequency of participation of junior resident was found to be the highestfollowed by 26 senior residents, faculty and interns and majority of respondents belonged to age range of 25 to 50 years with male predominance was seen. Male junior residents are most likely to develop alcohol use disorders as the frequency of drinking is found to be the highest. Conclusion: The current study has helped to assess the frequency of alcohol drinking in the medical faculty which were well verse with the alcohol use disorders. As such, this study provides grounds for further researches which can be conducted to identify and assess the type of diseases that occur in alcohol drinkers due to high frequency of drinking.
Abstract (English)
Introduction: The World Health Organization indicates that alcoholic beverages are consumed by about 2 billion people all over the world amongst whom 76.3 million are reported to be diagnosed with alcohol use disorders. Various patterns of alcohol consumption tend to act as risk factors, leading to biochemical and biological effects, thereby producing long-term consequences on human health as well as affecting the day to day life. Materials and Methods: A questionnaire-based study was conducted to assess the patterns of alcohol consumption in a group of medical fraternity belonging to various Medical Colleges of Punjab. The Google Form based on The Alcohol Use Disorders Identification Test Questionnaire was prepared and randomly circulated for period of 3months and all responses were collected. Results: Frequency of participation of junior resident was found to be the highestfollowed by 26 senior residents, faculty and interns and majority of respondents belonged to age range of 25 to 50 years with male predominance was seen. Male junior residents are most likely to develop alcohol use disorders as the frequency of drinking is found to be the highest. Conclusion: The current study has helped to assess the frequency of alcohol drinking in the medical faculty which were well verse with the alcohol use disorders. As such, this study provides grounds for further researches which can be conducted to identify and assess the type of diseases that occur in alcohol drinkers due to high frequency of drinking.
Files
IJPCR,Vol14,Issue9,Article127.pdf
Files
(357.4 kB)
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Additional details
Dates
- Accepted
-
2022-09-28
Software
- Repository URL
- https://impactfactor.org/PDF/IJPCR/14/IJPCR,Vol14,Issue9,Article127.pdf
- Development Status
- Active
References
- 1. World Health Organization. Substance Abuse Department, World Health Organization. Department of Mental Health, & Substance Abuse. Global status report on alcohol 2004. 2. Rehm J, Rehn N, Room R, Monteiro M, Gmel G, Jernigan D and Frick U. The global distribution of average volume of alcohol consumption and patterns of drinking. European addiction research; 2003;9(4): 147-156. 3. Rehm J, Room R, Graham K, Monteiro M, Gmel G and Sempos CT. The relationship of average volume of alcohol consumption and patterns of drinking to burden of disease: an overview. Addiction; 2003;98(9): 1209-12 28. 4. Rimm EB, Klatsky A, Grobbee D and Stampfer MJ. Review of moderate alcohol consumption and reduced risk of coronary heart disease: is the effect due to beer, wine, or spirits? Bmj; 1996;312(7033): 731-736.5. Research A, & Staff, C.R.E. Drinking patterns and their definitions. Alcohol research: current reviews; 2018;39(1): 17. 6. Wetterling T, Veltrup C, Driessen M and John U. (1999). Drinking pattern and alcohol-related medical disorders. Alcohol and alcoholism; 34(3): 330-3 36. 7. Addolorato G, Vassallo GA, Antonelli G, Antonelli M, Tarli C, Mirijello A, and Gasbarrini A. Binge drinking among adolescents is related to the development of alcohol use disorders: results from a cross-sectional study. Scientific reports; 2018;8(1): 1-9. 8. Diress G and Wondim G. Risky alcohol drinking pattern and its association with educational attainment and wealth index among adult men population in Ethiopia: further analysis of 2016 Ethiopian Demographic Health Survey. Journal of addiction; 2021;14: 6646 085. 9. World Health Organization. AUDIT: The alcohol use disorders identification test: Guidelines for use in primary health care (No. WHO/MSD/MSB/01.6 a). World Health Organization. 2011. 10. Allen JP, Litten RZ, Fertig JB and Babor T. A review of research on the Alcohol Use Disorders Identification Test (AUDIT). Alcoholism: clinical and experimental research; 1997;21(4): 613-619. 11. Adewuya AO. Validation of the alcohol use disorders identification test (audit) as a screening tool for alcohol-related problems among Nigerian university students. Alcohol and alcoholism; 2005;40(6): 575-577. 12. Stranges S, Notaro J, Freudenheim JL, Calogero RM, Muti P, Farinaro E, & Trevisan M. Alcohol drinking pattern and subjective health in a population‐ based study. Addiction; 2006; 101(9): 1265-1276. 13. Poikotainen K, Vartiainen E and Korhonen HJ. Alcohol intake and subjective health. American Journal of Epidemiology; 1996;144(4): 346-350. 14. Paljärvi T, Suominen S, Car J, Mäkelä P and Koskenvuo M. Subjective measures of binge drinking, suboptimal subjective health and alcohol-specific hospitalizations among working-aged adults: a prospective cohort study. Alcohol and alcoholism; 2011; 46(5): 607-613. 15. Reisdorfer E, Buchele F, Pires ROM and Boing AF. Prevalence and associated factors with alcohol use disorders among adults: a populationbased study in southern Brazil. Rev Bras Epidemiol.; 2012; 15(3): 582-94. 16. Grønbæk M, Mortensen EL, Mygind K, Andersen AT, Becker U, Gluud C and Sørensen TIA. Beer, wine, spirits and subjective health. J Epidemiol Community Health; 1999; 53:721 –724. 17. Saunders JB, Aasland OG, Babor TF, Fuente JR de la and Grantet M. Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption — II. Addiction; 1993;88: 791–803. 18. Diane S., Baldé A. K. ., Inapogui C. B., Kéita A., & Diawara M. Functional results of cataract surgery using the phacoemulsification technique & quot; The CADES/O experience. Journal of Medical Research and Health Sciences, 2022; 5(9): 2256–2263.