Geography and culture matter for malnutrition in Bolivia

Morales, Rolando; Aguilar, Ana María; Calzadilla, Alvaro

doi:10.1016/j.ehb.2004.10.007

Cited by 29 publications

(41 citation statements)

References 24 publications

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“…2 These results were, for example, found in Morocco for children under five years of age (Glewwe 1999) as well as in Bolivia for children under three years of age (Morales, Aguilar, and Calzadilla 2004).…”

Section: Literature Reviewmentioning

confidence: 59%

“…For this reason, we adopted the approach followed by Morales, Aguilar, and Calzadilla (2004) which consists of estimating the equations for child HAZ and WAZ simultaneously through a seemingly unrelated regression model and then running a Wald test of equality of coefficients in the models. This implies relaxing the (implicit) assumption previously made that the disturbance errors of the models (b) of Table 2 and 3 are uncorrelated. 12 The results (Table 4) highlight that the effect of household wealth and parents' education is not statistically different in the two equations.…”

Section: Comparing Resultsmentioning

confidence: 99%

“…The evidence is much weaker when we compare the effects of mother's education on child height and weight. Some studies, in fact, show a positive and significant effect of this explanatory variable on both the outcomes (Morales, Aguilar, and Calzadilla 2004;Moestue and Huttly 2008). In particular, the work of Moestue and Huttly (2008: 156) suggests that the overall household education effects were similar for HAZ and WAZ, meaning that education operates "over the medium to longer term".…”

Section: Literature Reviewmentioning

confidence: 99%

“…Only Morales, Aguilar, and Calzadilla (2004) have formally tested whether these factors provide a statistically significant contribution to these two outcome variables. We follow the same methodology -the seemingly unrelated regression -to verify this assumption in the case of Mozambique.…”

Section: Methodsologymentioning

confidence: 99%

“…Though child HAZ and WAZ incorporate age and sex differentials, these variables can reflect gender-related and age-related influence of non-observed covariates on nutrition (Morales, Aguilar, and Calzadilla 2004). Many studies noticed that the anthropometry of younger children can be different from that of older children (Sahn and Alderman 1997).…”

Section: Explanatory Variablesmentioning

confidence: 99%

See 4 more Smart Citations

Whose education affects a child’s nutritional status? From parents' to household's education

Burchi¹

2012

DemRes

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BACKGROUNDThe paper engages in the ongoing debate regarding the determinants of child nutrition in developing countries and stresses the potential contribution of the education of household members other than the child's parents. OBJECTIVEThe aim of the paper is threefold: (1) to verify whether there is evidence of the key role of parents' education for children's nutrition; (2) to explore the possible presence of the externalities generated by the literacy of household members different from the child's parents; (3) to test whether there is difference in the influence of these variables on the two indicators of child nutrition, child height-for-age and weight-for-age. METHODSThe determinants of child nutrition were analyzed by estimating a series of econometric models through OLS regressions applied on data from the 2003 DHS survey in Mozambique. By means of seemingly unrelated regression together with formal testing we compared the impact of the covariates on the two outcomes. RESULTSIn line with previous studies, we find that one year of mother's education increases their children's height-for-age and weight-for-age z-scores by nearly 0.025 and 0.015. The presence of another literate household member has a significant, though limited, effect on child height while it has no influence on child weight. Lastly, there is no statistically significant difference in the effect of parents' education on the two indicators while our measure of proximate literacy has a significantly larger impact on child height. CONCLUSIONSThese findings should orient policy-makers toward income-augmenting and educationenhancing policies: the importance of non-parents' literacy opens a further space for investment in education.

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Section: Literature Reviewmentioning

confidence: 59%

Section: Comparing Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Methodsologymentioning

confidence: 99%

Section: Explanatory Variablesmentioning

confidence: 99%

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Whose education affects a child’s nutritional status? From parents' to household's education

Burchi¹

2012

DemRes

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Child patterns of growth delay and cognitive development in a bolivian mining city

Ruiz-Castell¹,

Carsin²,

Barbieri³

et al. 2012

American J Hum Biol

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Population‐based study of renal cell carcinoma in children in Germany, 1980–2005

Selle

Furtwängler

Graf

et al. 2006

Cancer

114

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Objectives: This study aims to (1) follow up and characterize infant growth patterns during the first year of life in Bolivia, and (2) determine whether there exists an association between weight gain and cognitive development in children living near contaminated mining industries. Methods: Data on 175 children participating to the ToxBol (Toxicity in Bolivia) birth cohort were analyzed. Rapid‐growth during the first 6 months was defined as a change in weight z‐score > 0.67 while slow‐growth was defined as a weight z‐score change of < −0.67. Neurodevelopment was evaluated using the Bayley Scales of Infant Development at 10.5–12.5 months of age. Mixed models were used to examine the association between cognitive development and weight gain. Results: Rapid growers weighed less at birth (P < 0.01). However, they revealed a higher body mass index at 12 months of age (0.70 ± 0.73, P < 0.01). After adjustment for confounding, rapid growth was not associated with cognitive development (coef = 0.49, 95% confidence interval = −4.10, 5.08). Conclusions: In this Bolivian cohort, children born smaller were more likely to grow/develop faster and attain greater weight and length. Their cognitive development was not affected by their growth patterns. Am. J. Hum. Biol., 2013. © 2012 Wiley Periodicals, Inc.

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Geography and culture matter for malnutrition in Bolivia

Cited by 29 publications

References 24 publications

Whose education affects a child’s nutritional status? From parents' to household's education

Whose education affects a child’s nutritional status? From parents' to household's education

Child patterns of growth delay and cognitive development in a bolivian mining city

Population‐based study of renal cell carcinoma in children in Germany, 1980–2005

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