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Leisure time physical activity and related factors among Tehranian adult population:

Leisure time physical activity and related factors among Tehranian adult population: Tehran Lipid and Glucose Study Momenan A.A, Delshad M, Ghanbarian A, Mirmiran P, Safarkhani M, Mehrabi Y, Azizi F Obesity Research Center, Research Institute for Endocrine Sciences

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Leisure time physical activity and related factors among Tehranian adult population:

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  1. Leisure time physical activity and related factors among Tehranian adult population: Tehran Lipid and Glucose Study Momenan A.A, Delshad M, Ghanbarian A, Mirmiran P, Safarkhani M, Mehrabi Y, Azizi F Obesity Research Center, Research Institute for Endocrine Sciences Tehran, I.R. Iran.

  2. ميزان فعاليت بدنی در اوقات فراغت و عوامل مرتبط با آن در جمعيت بزرگسال تهرانی : مطالعه قند و ليپيد تهران دکتر امير عباس مومنان، مريم دلشاد، دکتر آرش قنبريان، دکتر پروين ميرميران، مريم صفرخانی، دکتر يداله محرابی و دکتر فريدون عزيزی مرکز تحقيقات چاقی پژوهشکده غدد درون ريز و متابوليسمدانشگاه علوم پزشكي و خدمات بهداشتي درماني شهيد بهشتي

  3. Background • Physical inactivity represent an independent risk factor for a number of chronic diseases and obesity. • Six out of ten leading risk factors to all deaths in the world relate to diet and physical activity. • The World Health Organization (WHO) estimates that over 60% of adults are not active enough to benefit their health. • Results of the first survey of non communicable disease risk factor surveillance system of Iran in 2005 showed that 60.6% of males and 77% of females were inactive.

  4. Objective To assess leisure time physical activity and related factors

  5. Methods • Cross-sectional study (2stphase of TLGS*) • 7285Tehranian adults (3138 males and 4147 females) over the age of 20 years • Modifiable Activity Questionnaire (MAQ) • MAQ assesses past-year leisure activities • estimate the frequency and duration for each activity identified. *Trials 2009 Jan 25; 10:5.

  6. Computation of summary estimates of physical activity by using Modifiable Activity Questionnaire Kriska, A. M. and P. H. Bennett. An epidemiological perspective of the relationship between physical activity and NIDDM: from activity assessment to intervention. Diabetes Metab. Rev. 8:355-372, 1992. Kriska, A. M., W. C. Knowler, R. E. LaPorte, et al. Development of questionnaire to examine relationship of physical activity and diabetes in Pima Indians. Diabetes Care 13:401-411, 1990.

  7. CALCULATIONS • Leisure Activity Hours per week averaged over the past year • Occupational Activity • 1. Hours per week of moderate activity averaged over the past year • 2. Hours per week of hard activity averaged over the past year • 3. An estimate of the average hours per week above light activity during the past year: The summation of hours per week of moderate and hard activity • 4. Estimated metabolic cost (as MET-hours per week): the moderate and hard activity categories are multiplied by their estimated average group MET values of 4 and 7 METs, respectively, prior to summing.

  8. Methods Continued • Each activity was also weighted by its relative intensity, referred to as a Metabolic Equivalent (MET ) • MET- min/wk was calculated as MET value multiplied by the duration of activity in minutes multiplied by the frequency of activity per week. • Active category was based on MET- min/wk equaling or exceeding 600 so inactive category was based on MET- min/wkless than 600*. * http://www.cdc.gov/nccdphp/sgr/pdf/sgrfull.pdf

  9. Results • 30.2% (95% CI = 27.2- 33.1%) of the males and 30.3% (95% CI = 27.7- 32.8%) of the females were considered active .

  10. Total time of leisure physical activity :Tehran Lipid and Glucose Study * * *p-value < 0.05

  11. Leisure time physical activity by Occupational status: TLGS *P-value < 0.05 * * * * * * Women Men Physical activity (min/wk)

  12. Type of leisure time physical activity : Tehran Lipid and Glucose Study * * * * * * * *p-value < 0.05

  13. Association betweeneducational levels, smoking status, BMI, hours worked and insufficient physical activity for health: Males Forward Stepwise Logistic Regression 1 OR of insufficient physical activity for health compared with the reference group 2 Adjusted for age

  14. Conclusion • The findings of the present study showed that most of men and women did not reach the current physical activity recommendations (69.8%) that are necessary for promoting health and preventing diseases. • It seems that some related factors such as BMI, educational levels, smoking status and hours worked are related to low level of physical activity in Tehranian adults. • It is recommended that health policy should encourage the Tehranian adults to be more active.

  15. Acknowledgement • All participants in the study • TLGS unit personnel

  16. Thank you for your Attention

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