Table 1. Adjusted odds ratios (OR) for living in an urban environment and obesity using stratification by country/countries, per capita GNI, year of fieldwork, sex, age of study population and criteria for obesity.
Stratification | Number of observations | OR for living in an urban environment (95% CI) | P-value | I2 | p-values* | F-ratio (p-value)** |
None | 37 | 1.99 (1.64 to 2.41) | <0.001 | 92.1% | <0.001 | – |
Country/countries | 12.16 (<0.001) | |||||
Philippines and Malaysia | 10 | 1.29 (1.14 to 1.45) | 0.001 | 62.8% | <0.001 | |
Thailand | 11 | 1.66 (1.30 to 2.11) | 0.001 | 93.2% | <0.001 | |
Vietnam and Laos | 11 | 3.36 (2.14 to 5.27) | <0.001 | 90.6% | <0.001 | |
Indonesia and Timor-Leste | 5 | 3.14 (2.22 to 4.46) | 0.001 | 40.4% | <0.001 | |
Per capita GNI (US dollars) | 12.00 (<0.001) | |||||
<1,500 | 14 | 3.42 (2.42 to 4.84) | <0.001 | 89.4% | <0.001 | |
1,500–2,500 | 10 | 1.62 (1.20 to 2.18) | <0.001 | 86.7% | <0.001 | |
>2,500 | 13 | 1.50 (1.23 to 1.82) | 0.01 | 91.9% | <0.001 | |
Year of field work | 0.78 (0.383) | |||||
2004 to 2013 | 20 | 1.85 (1.45 to 2.37) | <0.001 | 92.4% | <0.001 | |
Up to 2003 | 17 | 2.22 (1.60 to 3.09) | <0.001 | 91.9% | <0.001 | |
Sex of study population | 0.94 (0.407) | |||||
Men only | 7 | 1.76 (1.14 to 2.73) | 0.020 | 90.8% | <0.001 | |
Women only | 6 | 1.47 (0.89 to 2.43) | 0.106 | 82.8% | <0.001 | |
Both | 24 | 2.19 (1.70 to 2.81) | <0.001 | 92.2% | <0.001 | |
Age of population | 3.57 (0.067) | |||||
Children | 17 | 2.43 (1.72 to 3.43) | <0.001 | 92.9% | <0.001 | |
Adults | 20 | 1.65 (1.36 to 1.99) | <0.001 | 90.9% | <0.001 | |
Obesity classifcation | 1.18 (0.318) | |||||
Non BMI classifciation (using WC) | 3 | 2.10 (0.53 to 8.28) | 0.145 | 98.0% | <0.001 | |
Obesity defined BMI≥23 or 25 | 29 | 2.13 (1.69 to 2.67) | <0.001 | 91.1% | <0.001 | |
Obesity defined as BMI≥30 | 5 | 1.39 (0.90 to 2.16) | 0.104 | 80.9% | <.0.001 |
Twenty eight studies contributed to 37 independent age and sex adjusted estimates (Figure 1); Reference group is living in a rural environment; GNI gross national income; WC waist circumference;
* p-value for heterogeneity chi-square;
** Likelihood ratio test for heterogeneity between subgroup by meta-regression, providing F-ratio and p-values.