Prevalence of Overweight and Obesity in Urban Elementary School Children in Northeastern Romania: Its Relationship with Socioeconomic Status and Associated Dietary and Lifestyle Factors
Table 3
Associations between overweight and socioeconomic status, dietary behaviors, physical activity, and sedentary lifestyle ()a.
Prevalence of overweight (obesity included)b,
OR (95%)
%
valueb
Crude
Adjustedc
Socioeconomic status (SES)
Low SES
20.1
0.000
1
1
Medium SES
21.8
1.10 (0.83–1.46)
1.10 (0.83–1.47)
High SES
26.8
1.46 (1.10–1.93)**
1.46 (1.11–1.93)**
French fries and chips intake
<2 times/day
22.1
0.000
1
1
≥2 times/day
34.0
1.81 (1.24–2.67)**
1.80 (1.22–2.65)**
Vegetable intake
≥2 times/day
23.6
0.826
1
1
<2 times/day
24.1
1.035 (0.76–1.40)
1.035 (0.76–1.40)
Fruit intake
≥2 times/day
23.6
0.259
1
1
<2 times/day
21.6
0.84 (0.61–1.14)
0.83 (0.60–1.14)
Fruit juice
≥2 times/day
26.8
0.590
1
1
<2 times/day
24.7
0.86 (0.58–1.28)
0.86 (0.57–1.28)
Confectionery intake
<2 times/day
23.6
0.841
1
1
≥2 times/day
23.4
0.98 (0.71–1.37)
0.99 (0.72–1.39)
Exercise (20 min/day)
0.898
≥1 time/day
23.9
1
1
<1 time/day
23.5
0.97 (0.71–1.34)
0.99 (0.72–1.37)
Watching TV and playing PC
<2 hours/day
23.4
0.960
1
1
≥2 hours/day
23.5
0.99 (0.72–1.36)
1.01 (0.73–1.38)
Binary logistic regression with overweight/obesity versus normal weight as dependent variable and lifestyle factors as independent variables. The models are controlled for age of the child. According to the age and specific cut-off points for BMI as published by the IOTF [11]. Adjusted: the model is adjusted for sex and age of the child. Significantly different from reference group ().
