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      Female University Students’ Physical Activity Levels and Associated Factors—A Cross-Sectional Study in Southwestern Saudi Arabia

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          Abstract

          Background: The high prevalence of physical inactivity in Saudi Arabia is a growing challenge to public health. This study aimed to examine the prevalence of physical activity (PA) and associated factors among female university students. Methods: This cross-sectional study involved 663 randomly selected female university students who completed the Arab Teens Life Style questionnaire. Data included measurements of anthropometric, socioeconomic and environmental factors, as well as self-reported PA. Ordinal regression was used to identify associated factors with low, moderate and high PA levels. Results: The mean age of participants was 20.4 years (SD 1.5). Mean BMI of the students in relation to PA were 23.0, 22.9, 22.1 for high, moderate and low levels of activity, respectively. The analysis revealed significantly higher PA levels among married students, those with high educated mothers, and those who lived far from parks, and lower activity levels among underweight students. Conclusions: This study raises four important determinants for female university students’ PA levels. These factors could be of great importance in the endeavor to prevent the health-threatening increase in physical inactivity patterns and thus non-communicable diseases and obesity where the focus should be on the specific situation and needs of women in Saudi Arabia.

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          Most cited references30

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          The world health report 2002 - reducing risks, promoting healthy life.

          J Guilbert (2003)
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            Comparison of overweight and obesity prevalence in school-aged youth from 34 countries and their relationships with physical activity and dietary patterns.

            The purposes of this systematic review were to present and compare recent estimates of the prevalence of overweight and obesity in school-aged youth from 34 countries and to examine associations between overweight and selected dietary and physical activity patterns. Data consisted of a cross-sectional survey of 137 593 youth (10-16 years) from the 34 (primarily European) participating countries of the 2001-2002 Health Behaviour in School-Aged Children Study. The prevalence of overweight and obesity was determined based on self-reported height and weight and the international child body mass index standards. Logistic regression was employed to examine associations between overweight status with selected dietary and physical activity patterns. The two countries with the highest prevalence of overweight (pre-obese + obese) and obese youth were Malta (25.4% and 7.9%) and the United States (25.1% and 6.8%) while the two countries with the lowest prevalence were Lithuania (5.1% and 0.4%) and Latvia (5.9% and 0.5%). Overweight and obesity prevalence was particularly high in countries located in North America, Great Britain, and south-western Europe. Within most countries physical activity levels were lower and television viewing times were higher in overweight compared to normal weight youth. In 91% of the countries examined, the frequency of sweets intake was lower in overweight than normal weight youth. Overweight status was not associated with the intake of fruits, vegetables, and soft drinks or time spent on the computer. In conclusion, the adolescent obesity epidemic is a global issue. Increasing physical activity participation and decreasing television viewing should be the focus of strategies aimed at preventing and treating overweight and obesity in youth.
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              Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia.

              Few studies have used the same references across countries to examine the trends of over- and underweight in older children and adolescents. Using international references, we examined the trends of overweight and underweight in young persons aged 6-18 y from 4 countries. Nationally representative data from Brazil (1975 and 1997), Russia (1992 and 1998), and the United States (1971-1974 and 1988-1994) and nationwide survey data from China (1991 and 1997) were used. To define overweight, we used the sex- and age-specific body mass index cutoffs recommended by the International Obesity Task Force. The sex- and age-specific body mass index fifth percentile from the first US National Health and Nutrition Examination Survey was used to define underweight. The prevalence of overweight increased during the study periods in Brazil (from 4.1 to 13.9), China (from 6.4 to 7.7), and the United States (from 15.4 to 25.6); underweight decreased in Brazil (from 14.8 to 8.6), China (from 14.5 to 13.1), and the United States (from 5.1 to 3.3). In Russia, overweight decreased (from 15.6 to 9.0) and underweight increased (from 6.9 to 8.1). The annual rates of increase in the prevalence of overweight were 0.5% (Brazil), 0.2% (China), -1.1% (Russia), and 0.6% (United States). The burden of nutritional problems is shifting from energy imbalance deficiency to excess among older children and adolescents in Brazil and China. The variations across countries may relate to changes and differences in key environmental factors.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                09 August 2013
                August 2013
                : 10
                : 8
                : 3502-3517
                Affiliations
                [1 ]The PRO-CARE Group, School of Health and Society, Kristianstad University, SE-291 88 Kristianstad, Sweden; E-Mail: albert.westergren@ 123456hkr.se
                [2 ]Department of Public Health Sciences, Karolinska Institute, SE-171 77 Stockholm, Sweden; E-Mail: vanja.berggren@ 123456ki.se
                [3 ]Åstrand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, SE-114 86 Stockholm, Sweden; E-Mail: orjan.ekblom@ 123456gih.se
                [4 ]National Childhood Obesity Center, Departments of Pediatrics and of Clinical Science, Intervention, and Technology, Karolinska University Hospital, Karolinska Institute, SE-141 86 Stockholm, Sweden; E-Mail: jk@ 123456kowan.com
                [5 ]Department of Health Sciences, Medical Faculty, Lund University, SE-221 00 Lund, Sweden
                [6 ]Pediatric Exercise Physiology Research Laboratory, College of Education and Obesity Research Chair, King Saud University, Riyadh 11451, Saudi Arabia; E-Mail: alhazzaa@ 123456ksu.edu.sa
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: atika.khalaf@ 123456hkr.se ; Tel.: +46-44-203-207; Fax: +46-44-129-651.
                Article
                ijerph-10-03502
                10.3390/ijerph10083502
                3774451
                23939387
                0e131746-3d37-44c4-baf1-b4d09f7c9985
                © 2013 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 25 April 2013
                : 01 August 2013
                : 01 August 2013
                Categories
                Article

                Public health
                epidemiologic methods,middle east,women’s health,saudi arabia,physical activity,female university students,cross-sectional studies,socioeconomic factors

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