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

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.


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


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.


Objective

To assess

leisure time physical activity and related factors


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.


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.


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.


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


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 .


Total time of leisure physical activity :Tehran Lipid and Glucose Study

*

*

*p-value < 0.05


Leisure time physical activity by Occupational status: TLGS

*P-value < 0.05

*

*

*

*

*

*

Women

Men

Physical activity (min/wk)


Type of leisure time physical activity : Tehran Lipid and Glucose Study

*

*

*

*

*

*

*

*p-value < 0.05


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


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.


Acknowledgement

  • All participants in the study

  • TLGS unit personnel


Thank you

for your

Attention


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