Table 4 - uploaded by Bénédicte Apouey
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Context 1
... thus estimate a fully interacted model (that relies on weaker assumptions), in which all the control variables are interacted with age and age square. The results are shown in Table 4. ...
Context 2
... Table 4, panel C, family SES is measured using both education and income. In columns (1) and (3), the interaction terms for income are no longer significant. ...
Context 3
... surprising result is due to multicollinearity (i.e. the high level of correlation between income and education in this specific model, in other words we "overcontrol" for family SES here), and does not mean that inequalities in income and overweight (IOTF) decrease and then increase in childhood. Table 4 thus provides some evidence that the gradient in income has the same shape as the gradient in education. However, the results on the education gradient are clearer and more robust, maybe because there is less measurement error in education than in income. ...
Context 4
... Table 4 here] 21 We find that the difference in our results (between the model in which the controls are not interacted and the fully interacted model) is mainly due to the inclusion of the interaction terms between survey year dummies and age and age square. Indeed, there is a correlation between year dummies and income on the one hand, and year dummies and body weight on the other hand. ...
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Citations
... Birth weight has no impact on the current nutritional status. In contrast to the literature, parental education and household wealth do not have a significant impact on child nutritional status (Apouey & Geoffard, 2016). Compared to other regions, children living in Upper Egypt are worse off. ...
... Future studies with qualitative data on parents' reasoning for believing that their children should remain underweight or overweight would be informative. Finally, research in industrialized countries has typically shown that the risk for early childhood obesity tends to be higher among children who are from families of lower income and lower parental education (Apouey & Geoffard, 2016). In our study, we found partial support for this pattern. ...
Purpose:
We aimed to compare preschool-age Chinese children's weight status based on the WHO guidelines with parental ratings on their children's body type, and child/family demographic characteristics.
Method:
The sample included 171 preschool-age children (M=60.5months, SD=6.7; boys: 46.8%) randomly selected from 23 classrooms. Based on BMIs from their height and weight from physical examinations, the children were divided into three groups using the 2006 WHO guidelines: underweight (n=46), normal weight (n=65), and overweight (n=60). Data on the parental ratings of children's current body type, ideal body type and child/family demographic characteristics were collected with surveys.
Results:
Parents' accurately classified 91.1% of the underweight children, 52.3% of the normal weight children, and 61.7% of the overweight children. In terms of ideal body shape for their children, parents typically wanted their children to have normal weight or to remain underweight. Most of the child and family demographic characteristics were not different across children who were underweight, had normal weight, and were overweight.
Conclusion:
Because parents tended to underestimate their children's weight status, it is important to increase Chinese parents' knowledge on what constitutes healthy weight, as well as the potential harm of overweight status for children's development. Training healthcare providers in kindergartens and pediatric clinics to work with parents to recognize unhealthy weight status in children is valuable.
