2018
DOI: 10.1017/s1368980018000757
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Comparative evidence of the consumption from fast-food restaurants between normal-weight and obese Saudi schoolchildren

Abstract: Development of effective interventions to reduce fast-food consumption in Saudi Arabian schoolchildren requires greater research-based evidence of fast-food consumption habits and practices associated with increased childhood obesity.

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Cited by 16 publications
(11 citation statements)
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References 45 publications
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“…The AUC value is 0.87 and predictive accuracy is 93.84% as shown in Figure 8 and Table 5. Our predictive results are also indicating that it will increase in near future too, as the country is suffering from major factors such as a cultural shift towards developed-world, adapting junk diet items regularly, eating habits and lack of physical activity [56,61]. Reduction and control of BMI are significant in this obesity category because patients are more likely to birth other associated chronic diseases.…”
Section: Trends Obtained From Bmi ≥ 30-3999mentioning
confidence: 62%
See 1 more Smart Citation
“…The AUC value is 0.87 and predictive accuracy is 93.84% as shown in Figure 8 and Table 5. Our predictive results are also indicating that it will increase in near future too, as the country is suffering from major factors such as a cultural shift towards developed-world, adapting junk diet items regularly, eating habits and lack of physical activity [56,61]. Reduction and control of BMI are significant in this obesity category because patients are more likely to birth other associated chronic diseases.…”
Section: Trends Obtained From Bmi ≥ 30-3999mentioning
confidence: 62%
“…We have analyzed from our results and primary data set, prevalence of overweight is higher for age group of 55-64 i.e., 46.4 compare to other age groups. This is a crucial age because person is 60+ (old age) and needs to care for health seriously [56]. Otherwise, this inclination towards the increase in BMI could cause other relevant diseases too.…”
Section: Trends Obtained From Bmi 25-2999mentioning
confidence: 99%
“…Based on the full-text assessment, 10 reports were further excluded as they were either review articles (1 report), only related to metabolic markers of obesity (1 report), obesity was a cause rather than an outcome (3 reports), the study population was not in healthy subjects (3 reports) or were unobtainable (2 reports). The remaining 12 reports were included in the present study for qualitative and systematic analysis (Al-Muhaimeed et al, 2015;Alshammari et al, 2017;Al-Agha et al, 2020a, 2020bAlturki et al, 2018;Al-Hazzaa & Albawardi, 2019;Amine & Samy, 1996;Al Amiri et al, 2015;Al-Taiar et al, 2018;Al Yazeedi et al, 2020;Fernandez-Luque et al, 2017) and are described in further detail below. With a maximum quality score of 5 and given the quality-score assessment criteria, a good score (≥4 points) was achieved in 25% of the studies (3 studies, 2 from Saudi Arabia and 1 from Kuwait); 50% of the studies were scored as being of fair quality (3 points including 3 studies from Saudi Arabia and 1 study from each of UAE, Kuwait and Oman) and 25% of the studies were scored as low quality (<3 points including 1 study from ach of Saudi Arabia, UAE and Qatar) (Table 1).…”
Section: Search Resultsmentioning
confidence: 99%
“…Over the past several decades, dietary patterns have shifted from eating home-cooked meals to eating out more frequently [2,3]. Eating away from home is linked to an increased consumption of ultra-processed food and beverage products with excessive calories, fat, and added sugars and sodium [4][5][6][7]. Cafeterias, fast-food restaurant chains, independent take-out-restaurants, and food retailers contribute substantially to the daily energy intake [8,9].…”
Section: Introductionmentioning
confidence: 99%