Table 2.
Predictors | Beta | Standard Error | p value |
---|---|---|---|
Sex | |||
Male (ref, ND = 11) | |||
Female (ND = 31) | −1.77 | 1.96 | 0.37 |
Male and Female (ND = 29) | 1.24 | 2.15 | 0.56 |
Age group | |||
≤ 8 years old (ref, ND = 27) | |||
9–29 years old (ND = 18) | 1.97 | 1.89 | 0.30 |
≥ 30 years old (ND = 26) | 7.09 | 2.15 | 0.002 |
Country income level | |||
High (ref, ND = 13) | |||
Upper-middle (ND = 36) | −7.67 | 2.18 | < 0.001 |
Lower-middle and low (ND = 22) | −10.78 | 2.59 | < 0.001 |
Time trend | |||
Data collection before 2000 (ref, ND = 18) | |||
Data collection since 2000 (ND = 53) | 5.24 | 1.53 | < 0.001 |
ND: number of data points.
71 data points from 29 studies were analyzed using a Stata “Metareg” command with dummy variables of age group, sex, country income level, and secular trend.
Age, country income, and secular trend were categorized at the points of slope change into two/three groups. These categories were subsequently used in regression models given their non-linear relationship of age with the obesity-undernutrition ratio.