Background: Obesity represents a clear and
present danger to the health of children and
adolescents. Its prevalence among American
youth has doubled in the past 3 decades, and
there are now more overweight and obese
adults in the United States than adults of
normal weight.
Objectives of the study:
1- Finding whether screen watching among
adolescents has an effect on increasing
prevalence overweight and obesity.
2- The effect of other variables like physical
activity, eating in front of screen, eating under
stress on obesity and overweight among the
subjects sample.
Patients &Methods: During 3 months period a
cross sectional survey was conducted on 4
high schools at Baghdad with total sample of
500 subjects using time table to assess screen
watching hours per week,
Results:Higher percentagesof overweight &
obesity were found among female adolescents
than males, significant associations was
obvious among total sample & male sample
betweenthe level of physical activity &
BMI,while there was no significant
association among female sample for the same
variables , There was obvious significant
association between BMI a time spending in
screen watching, eatingin front of screen, ,
eating under stressin the total & male samples.
Conclusion: Increased levels of physical
activity are associated with a lower BMI and
less time spent on screen watching .in addition
.stress-induced eating may be one factor
contributing to the development of obesity;
furthermore habits like eating in front of
screen could increase BMI of an adolescent.
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The Sebkha is considered the evaporative geomorphological features, where climate plays an active role. It forms part of the surface features in Mesopotamia plain of Iraqi, which is the most fertile lands, and because of complimentary natural and human factors turned most of the arable land to the territory of Sebkha lands. The use satellite image (Raw Data), Landsat 30M Mss for the year 1976 Landsat 7 ETM, and the Landsat 8 for year 2013 (LDCM) for the summer Landsat Data Continuity Mission and perform geometric correction, enhancements, and Subset image And a visual analysis Space visuals based on the analysis of spectral fingerprints earth's This study has shown that the best in the discrimination of Sebkha Remote sensing techniques a
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