Prevalence and patterns of physical activity among medical students in Bangalore, India

Authors

  • Krishnakumar Padmapriya Department of Physiology, Kempegowda Institute Of Medical Sciences, Rajiv Gandhi University of HealthSciences, Bangalore, India

Keywords:

Physical activity; Young adults; IPAQ

Abstract

Background: Physical activity is one of the leading health indicators. The objective was to study the prevalence and patterns of physical activity among young adults.

Methods: 259 Medical students (Men: Women = 116:143) in the age group of 18-22 yrs were interviewed using the official English long version of the International Physical Activity Questionnaire (IPAQ).The total level of physical activity and activity in each of the 4 life domains – work, transport, domestic and gardening and leisure-time were estimated and was expressed as metabolic equivalent-hours per week (MET-hour/week).

Results: 41.3 % showed high levels of physical activity, 43.2% and 15.4 % of students showed moderate level and low level of physical activity respectively. 84.6 %( n=219) were engaged in work related activity and 80.7% (n= 209) showed transport related activity. Domestic and gardening physical activity represented 63.7 % (n=165) of individuals total activity and 67.2% of students showed leisure time activity. The average time spent in sitting was 7.06 hrs/day. The median of the total physical activity for the whole sample was 39.13 MET/hour/week and 18.10 for work, 4.40 for transportation, 2.60 for domestic and gardening and 4 for leisure-time activity. There was significant gender difference observed with women having low physical activity.

Conclusion: This study provides baseline information about the physical activity levels and patterns including sitting hours among Indian young adults using IPAQ that can used for comparison of data across different parts of world.

References

Waxman A. WHO’s global strategy on diet, physical activity and health: response to a worldwide epidemic of non-communicable diseases. Scandinavian Journal of Nutrition. 2004;48:58–60. [Google Scholar]

Singh AK, Maheshwari A, Sharma N, Anand K. Lifestyle associated risk factors in adolescents. Indian J Pediatr. 2006 Oct;73(10):901–6. [PubMed] [Google Scholar]

Gordon-Larsen Penny, McMurray Robert G, Barry M. Popkin, Determinants of Adolescent Physical Activity and Inactivity Patterns. Pediatrics. 2000;105(6):e83. [PubMed] [Google Scholar]

Bauman Adrian, Bull Fiona, Chey Tien, 1, Craig Cora L, Ainsworth Barbara E, The IPS Group et al. The International Prevalence Study on Physical Activity: results from 20 countries. International Journal of Behavioral Nutrition and Physical Activity. 2009;(6):21. [PMC free article] [PubMed] [Google Scholar]

Nawi Ng, Hakimi Mohammad, Van Minh Hoang, Juvekar Sanjay, Razzaque Abdur, Ashraf Ali, et al. Prevalence of physical inactivity in nine rural INDEPTH Health and Demographic Surveillance Systems in five Asian countries. Glob Health Action. 2009;2 doi: 10.3402/gha.v2i0.1985. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

Roy S, Dasgupta A. Physical activity pattern among the adolescents of a rural community in West Bengal. Indian J Community Med. 2009;34:366–7. [PMC free article] [PubMed] [Google Scholar]

Sinnapah S, Antoine-Jonville S, Hue O. Is the leisure-time physical activity of Asian Indian Guadeloupean adolescents different from that of their island counterparts? Ethn Health. 2009 Jun;14(3):303–14. [PubMed] [Google Scholar]

International Physical Activity Questionnaire (IPAQ) IPAQ Research Committee. 2005. Available from: http://www.ipaq.ki.se/scoring.pdf.

Frank E, Tong E, Lobelo F, Carrera J, Duperly J. Physical activity levels and counseling practices of U.S. medical students. Med Sci Sports Exerc. 2008 Mar;40(3):413–21. [PubMed] [Google Scholar]

Sjöström M, Oja P, Hagströmer M, Smith BJ, Bauman AE. Health-enhancing physical activity across European Union countries: the Eurobarometer study. J Public Health. 2006;14:291–300. [Google Scholar]

Bertrais S, Preziosi P, Mennen L, Galan P, Hercberg S, Oppert J. Socio-demographic and geographic correlates of meeting current recommendations for physical activity in middle-aged French adults: the supplementation en vitamines et minereaux antioxydants (SUVIMAX) study. American Journal of Public Health. 2004;94:1560–6. [PMC free article] [PubMed] [Google Scholar]

Parks SE, Housemann RA, Brownson RC. Different correlates of physical activity in urban and rural adults of various socioeconomic backgrounds in the United States. Journal of Epidemiology and Community Health. 2003;57:29–35. [PMC free article] [PubMed] [Google Scholar]

Haase A, Steptoe A, Sallis J, Wardle J. Leisure-time physical activity in university students from 23 countries: associations with health beliefs, risk awareness, and national economic development. Preventive Medicine. 2004;39:182–190. [PubMed] [Google Scholar]

Trinh Oanh TH, Nguyen Nguyen D, Dibley Michael J, Phongsavan Philayrath, Bauman Adrian E. The prevalence and correlates of physical inactivity among adults in Ho Chi Minh City. BMC Public Health. 2008;(8):204. [PMC free article] [PubMed] [Google Scholar]

Pitsavos C, Panagiotakos DB, Lentzas Y, Stefanadis C. Epidemiology of leisure-time physical activity in socio-demographic, lifestyle and psychological characteristics of men and women in Greece: the ATTICA Study. BMC Public Health. 2005;5:37. [PMC free article] [PubMed] [Google Scholar]

Dong L, Block G, Mandel S. Activities Contributing to Total Energy Expenditure in the United States: Results from the NHAPS Study. Int J Behav Nutr Phys Act. 2004;1:4. [PMC free article] [PubMed] [Google Scholar]

Dowda M, Ainsworth BE, Addy CL, Saunders R, Riner W. Correlates of physical activity among U.S. young adults, 18 to 30 years of age, from NHANES III. Ann Behav Med. 2003;26:15–23. [PubMed] [Google Scholar]

Guthold R, Ono T, Strong KL, Chatterji S, Morabia A. Worldwide variability in physical inactivity a 51-country survey. Am J Prev Med. 2008;34:486–94. [PubMed] [Google Scholar]

Droomers M, Schrijvers CT, Mackenbach JP. Educational level and decreases in leisure time physical activity: predictors from the longitudinal GLOBE study. J Epidemiol Community Health. 2001;55:562–8. [PMC free article] [PubMed] [Google Scholar]

Published

2021-12-16