Gender biases in sub‐Saharan Africa: Reply and further evidence

Svedberg, Peter

doi:10.1080/00220389608422447

Cited by 25 publications

(15 citation statements)

References 9 publications

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“…Gender differences in childhood nutrition have been confirmed by other authors. 2,7,18 It is found that female are better nourished than male children and the effect of gender is similar in this study. In addition, the mother's current employment status, where the mother lives (rural/urban), availability of electricity, access to controlled water, education level of mothers, availability of flush toilet at household have either slight or statistically insignificant effects on a child's weight-for-height .…”

Section: 12supporting

confidence: 62%

“…The likelihood of being stunted and underweight was lower for girls than for boys; a finding consistent with others; on the other hand, Gibson 21 did not find any significant gender difference between the height-for-age and the weight-for-age in Papua, New Guinea. 2,7,8,18,19 Stunting, underweight, and wasting among children by residence. Urban children are less likely than their rural counterparts to be stunted, as shown in the separate analysis, where the quality of health environments and sanitation are found in urban areas and these results are reasonable.…”

Section: Discussionmentioning

confidence: 99%

“…It is an intrinsic indicator of well-being, but it is also associated with morbidity, mortality, impaired childhood development, and reduced labor productivity. 1,2,3 To assess nutritional status, the 2003 Demographic and Health survey (DHS) 4 obtained measurements of height and weight for all children below 5 years of age. Researchers distinguish between 3 types of malnutrition: wasting or insufficient weight for height indicating acute malnutrition; stunting or insufficient height for age indicating chronic malnutrition; and underweight or insufficient weight for age which could be a result of both stunting and wasting.…”

Section: Introductionmentioning

confidence: 99%

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Childhood Malnutrition in Egypt using Geoadditive Gaussian and Latent Variable Models

Khatab¹

2010

The American Journal of Tropical Medicine and Hygiene

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Section: 12supporting

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Childhood Malnutrition in Egypt using Geoadditive Gaussian and Latent Variable Models

Khatab¹

2010

The American Journal of Tropical Medicine and Hygiene

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“…(Klasen 1996;Lavy, Strauss et al 1996;Svedberg 1996;Gibson 2001;Kandala 2001;Borooah 2002;S.B 2003); on the other hand, Gibson (2001) did not find any significant gender difference between the height-for-age and the weight-for-age in Papua, New Guinea.…”

Section: Child's Sexmentioning

confidence: 99%

“…It is an intrinsic indicator of well-being, but it is also associated with morbidity, mortality, impaired childhood development, and reduced labor productivity (Svedberg 1996;UNICEF 1998;Sen 1999) To assess nutritional status, the 2003 DHS obtained measurements of height and weight for all children below five years of age. (Survey 2003) Researchers distinguish between three types of malnutrition: wasting or insufficient weight for height indicating acute malnutrition; stunting or insufficient height for age indicating chronic malnutrition; and underweight or insufficient weight for age which could be a result of both stunting and wasting.…”

Section: Introductionmentioning

confidence: 99%

Associations Between Nutritional Indicators Using Geoadditive Latent Variable Models with Application to Child Malnutrition in Nigeria

Khatab¹

2012

Current Topics in Tropical Medicine

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Advanced Techniques for Modelling Maternal and Child Health in Africa

Kandala

Ghilagaber

2014

The Springer Series on Demographic Methods and Population Analysis

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In recent decades, there has been a rapid development of demographic models and methods and an explosive growth in the range of applications of population analysis. This series seeks to provide a publication outlet both for high-quality textual and expository books on modern techniques of demographic analysis and for works that present exemplary applications of such techniques to various aspects of population analysis.Topics appropriate for the series include:• General demographic methods This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.Printed on acid-free paper SummaryThe estimation of levels, trends, and differentials in demographic and health outcomes in developing countries has, over the years, relied heavily on indirect methods that were devised to suit limited or deficient data. In recent decades, some worldwide surveys like the World Fertility Survey and its successor, the Demographic and Health Survey (DHS), have played an important role in filling the gap in the availability of survey data in developing countries. These surveys, conducted at enormous costs, are aimed at enabling investigators to make in-depth analyses that could guide policy intervention strategies. However, their utilization remains suboptimal, because optimal analyses of such data demand advanced statistical techniques.Since the use of DHS data in developing countries, many develop...

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Gender biases in sub‐Saharan Africa: Reply and further evidence

Cited by 25 publications

References 9 publications

Childhood Malnutrition in Egypt using Geoadditive Gaussian and Latent Variable Models

Childhood Malnutrition in Egypt using Geoadditive Gaussian and Latent Variable Models

Associations Between Nutritional Indicators Using Geoadditive Latent Variable Models with Application to Child Malnutrition in Nigeria

Advanced Techniques for Modelling Maternal and Child Health in Africa

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