Is the association of continuous metabolic syndrome risk score with body mass index independent of physical activity? The CASPIAN-III study.
- Author:
Ramin HESHMAT
1
;
Gita SHAFIEE
;
Roya KELISHADI
;
Amir Eslami Shahr BABAKI
;
Mohammad Esmaeil MOTLAGH
;
Tahereh AREFIRAD
;
Gelayol ARDALAN
;
Asal ATAIE-JAFARI
;
Hamid ASAYESH
;
Rasool MOHAMMADI
;
Mostafa QORBANI
Author Information
- Publication Type:Original Article
- Keywords: BMI; metabolic syndrome; physical activity
- MeSH: Adolescent; Blood Glucose; Blood Pressure; Body Mass Index*; Body Weight; Child; Fasting; Humans; Joints; Leisure Activities; Linear Models; Lipoproteins; Motor Activity*; Overweight; Thinness; Waist Circumference
- From:Nutrition Research and Practice 2015;9(4):404-410
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND/OBJECTIVES: Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents. SUBJECTS/METHODS: Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles. RESULTS: Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01). CONCLUSIONS: Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels.
