Figure 5 - uploaded by Bénédicte Apouey
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The shape of the gradient with and without cohort-fixed effects (ESPS data) 

The shape of the gradient with and without cohort-fixed effects (ESPS data) 

Contexts in source publication

Context 1
... Figure 5 here] 22 To get the curve for the model "not accounting for cohort fixed effects," we proceed as follows: we estimate equation (2) not including cohort fixed effects; using the estimated coefficientsˆβcoefficientsˆ coefficientsˆβ, ˆ φ1, andˆφ2andˆ andˆφ2, we compute the effect EF of the mother's education, which is the difference in body weight between children whose mother has a high level of education (SESP = 1) and children whose mother has a low level of education (SESP = 0), which writes EF = ˆ B SES P ...
Context 2
... explore more in depth the role of cohorts' characteristics, we compare the effect of parental education on child body weight when we control for cohort fixed effects and when we do not. We focus on the impact of the mother's high education and child BMI- for-age, for space reasons. We represent the effect as a function of age in Figure 5. 22 The figure underlines that accounting for cohort fixed effects only has a small influence on the ...
Context 3
... we graph the curve representing the effect EF as a function of age. To get the curve for the model "accounting for cohort fixed effects," we follow the same steps but include the cohort fixed effects when we estimate equation (2). The curves in Figure 5 are below zero because of the negative correlation between parents' education and child ...

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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. ...
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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.