Carbohydrate-containing food knowledge of GDM and non GDM women in Al-Ain District.

*<p>P<0.05 is considered significant.</p>**<p>Adjusted for educational level, nationality, age, parity, and number of visits to dietitian.</p>a<p>P values calculated by Student t-test.</p>b<p>P values calculated by chi-square test.</p

Demographic and lifestyle characteristics of pregnant women with and without GDM in Al-Ain District.

*<p>P<0.05 is considered significant.</p>**<p>SMBG: Self-monitoring blood glucose levels.</p>a<p>P values calculated by Student t-test.</p>b<p>P values calculated by chi-square test.</p

Diet-related characteristics of pregnant women with and without GDM in Al Ain District.

*<p>P<0.05 is considered significant.</p>a<p>P values calculated by chi-square test.</p

Dietary patterns of pregnant women with and without GDM in Al-Ain District.

*<p>P<0.05 is considered significant.</p>a<p>P values calculated by chi-square test.</p>b<p>P values calculated by Student t-test.</p>**<p>P value changed to 0.043 after adjusting for age, educational level, and parity.</p>***<p>P value changed to 0.003 after adjusting for age, educational level, and parity.</p

Mean energy and nutrient intakes of pregnant women with and without GDM in Al-Ain District as assessed by a single 24 hour diet recall^a.

*<p>P<0.05 is considered significant.</p>a<p>P values calculated by Student t-test.</p>**<p>P value changed to 0.019 after adjusting for age, educational level, and parity.</p

Regression estimates and predictors of carbohydrate-food knowledge of pregnant women without GDM (n = 89)^a.

<p>Dependent Variable: Knowledge Score (14).</p>*<p>P<0.05 is considered significant.</p>a<p>Potential predictors included in the model were: Age, educational level, parity, and nationality.</p

Risk factors for MetS among young female adults aged 17–25 years (n = 555), Al Ain, UAE.

<p>Risk factors for MetS among young female adults aged 17–25 years (n = 555), Al Ain, UAE.</p

Study participants enrolment process

<p>Study participants enrolment process</p

Demographic and clinical characteristics by metabolic syndrome status.

<p>Demographic and clinical characteristics by metabolic syndrome status.</p

Prevalence of metabolic syndrome components among UAEU young female adults 17–25 years (N = 555), Al Ain, UAE.

<p>Prevalence of metabolic syndrome components among UAEU young female adults 17–25 years (N = 555), Al Ain, UAE.</p