Child nutrition in Mozambique in 2003: The role of mother's schooling and nutrition knowledge

Burchi, Francesco

doi:10.1016/j.ehb.2010.05.010

Cited by 85 publications

(101 citation statements)

References 45 publications

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“…This rural-urban difference of maternal education related to SES has also been addressed in some Andean countries (11,43) . The strong association between low household economic status and child malnutrition has been reported for several Latin American countries (2,6,30,33,(40)(41)(42)44) . Although we observed a significant positive crude association between UBN and SES index, and the mean LAZ respectively (results not shown), this relationship disappeared when the model was adjusted for urban/rural location in the pooled data set.…”

Section: Discussionmentioning

confidence: 91%

Determinants of child malnutrition in rural and urban Ecuadorian highlands

Ortiz

Camp

Wijaya

et al. 2013

Public Health Nutr.

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Objective: To identify and compare the sociodemographic determinants of stunting, wasting and overweight among infants of urban and rural areas in the Ecuadorian highlands. Design: Cross-sectional study. Setting: Nabon (rural) and Cuenca (urban) cantons, Azuay Province, Ecuador. Subjects: A total of 703 children aged 0-24 months and their caregivers (227 rural and 476 urban) recruited during the period from June to September 2008. Results: Stunting prevalence was significantly higher in the rural area (37?4 % v. 17?7 %; P , 0?001) while wasting (7?1 %) and overweight (17?1 %) prevalence were more similar between areas. Determinants of stunting for the pooled sample were male gender (OR Conclusions: Infant malnutrition was associated with different sociodemographic determinants between urban and rural areas in the Ecuadorian highlands, a finding which contributes to prioritize the determinants to be assessed in nutritional interventions.

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Section: Discussionmentioning

confidence: 91%

Determinants of child malnutrition in rural and urban Ecuadorian highlands

Ortiz

Camp

Wijaya

et al. 2013

Public Health Nutr.

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“…Food insecurity access was measured using items from the HFIAS [23,[29][30][31]. The HFIAS consists of 9 items specific to an experience of food insecurity occurring within the previous 4 weeks.…”

Section: Food Securitymentioning

confidence: 99%

Dietary diversity and related factors among lactating women visiting public health facilities in Aksum town, Tigray, Northern Ethiopia

et al. 2016

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Background: Dietary diversity is a proxy indicator of maternal nutrient adequacy. However, little is documented on dietary diversity among lactating mothers. Therefore, this study assessed diet diversity and associated factors among lactating mothers visiting public health facilities in Aksum town, Tigray, Northern Ethiopia. Methods: An institution based cross-sectional study was conducted on 346 randomly selected lactating women visiting public health facilities of Aksum town in June 2015. Dietary diversity was assessed using 24 h dietary recall method. A mean dietary diversity score (DDS) was computed of nine food groups. Food insecurity access was measured using 9 items Household Food Insecurity Access Scale (HFIAS). Data were entered and analyzed using SPSS version 20. Results: More than a quarter (27.2 %) of the lactating mothers was from food insecure households. The mean DDS was 3.4 and a total of 56.4 % lactating mothers had low dietary diversity (less than mean DDS). Average monthly income, home gardening and source of drinking water were associated with low dietary diversity. Lactating mothers who had monthly income of less than 501 ETB [AOR = 2.3, 95 % CI (1.2, 4.6)] and 501 to 1500 ETB [AOR = 3.0, 95 % CI (1.4, 6.3)] were more likely to have low dietary diversity than those who had monthly income above 1500 ETB. And those who did not practice home gardening were more likely to have low dietary diversity than their counterparts [AOR = 2.1, 95 % CI (1.01, 4.2)]. Regarding source of drinking water, mothers who reported protected well as a main source were more likely to have low dietary diversity compared to those who reported tap water as main source [AOR = 4.5, 95 % CI (1.1,18.2)]. Conclusions: Dietary diversity among lactating mothers was low. Factors like monthly income less than 501 ETB and 501 to 1500 ETB, not having home gardening, and source of drinking water from protected well were significantly associated with low dietary diversity. Attention should be paid to dietary diversity of lactating mothers to improve their nutritional status, and that of their children and their family.

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“…The result, in many cases, is that the positive effect of mother's education still remains significantly different from zero (Strauss and Thomas 1995). There is also some empirical evidence of this relationship in Mozambique (Sahn and Alderman 1997;Garrett and Ruel 1999;Burchi 2010). In the studies conducted with 1996-1997 data, Sahn and Alderman (1997) and Garrett and Ruel (1999) concluded that the effect of mother's education is significant and independent from that of household income/wealth in the case of 0-2 year old children while non-significant for 2-5 year old children.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the first study the result is also robust to the inclusion of mother's nutrition, while such a variable was not available in the second study. The work of Burchi (2010), carried out on the basis of more recent data, has highlighted that the influence of mother's education is important for the nutritional status of preschool children, even after controlling for a large set of confounders including the mother's anthropometric status.…”

Section: Literature Reviewmentioning

confidence: 99%

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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Child nutrition in Mozambique in 2003: The role of mother's schooling and nutrition knowledge

Cited by 85 publications

References 45 publications

Determinants of child malnutrition in rural and urban Ecuadorian highlands

Determinants of child malnutrition in rural and urban Ecuadorian highlands

Dietary diversity and related factors among lactating women visiting public health facilities in Aksum town, Tigray, Northern Ethiopia

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

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