Malnutrition: Prevalence, Risk Factors and Outcomes


Series: Nutrition and Diet Research Progress
BISAC: MED060000

This book brings together a range of contemporary research contributions of the malnutrition field. Written by leading international experts in the field of socioeconomic, demographic, clinical, and environmental and policy related malnutrition. This book explores the theme of the prevalence, risk factors and outcomes of malnutrition lifecycle and burden of the 21st century’s world.
(Imprint: Nova Medicine and Health)

Table of Contents

Table of Contents


Chapter 1. Malnutrition: Review of Prevalence, Risk Factors and Outcomes in Geriatric Population
(Manjula Suri, PhD, and Suneel Kumar, PhD, Department of Physiology and Promotive Health, Institute of Home Economics, University of Delhi, New Delhi, India, and others)

Chapter 2. Prevalence of Malnutrition among Rural Bengalee Children of Hooghly District, West Bengal, India
(Soma Pal and Kaushik Bose, PhD, Department of Anthropology, Vidyasagar University, Midnapore, West Bengal, India)

Chapter 3. Associated Risk Factors for Acute Malnutrition among Rural Bangladeshi Children: A Cross-Sectional Analysis
(Md. Ashfikur Rahman, Md. Sazedur Rahman and Azizur Rahman, Development Studies Discipline, Khulna University, Khulna, Bangladesh, and others)

Chapter 4. An ELL Type Small Area Estimation Approach for Binary Response Variable with Application to Bangladesh Child Malnutrition Study
(Sumonkanti Das, Abdullah Al Islam, Bappi Kumar, Luthful Alahi Kawsar and Md. Zakir Hossain, Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh)

Chapter 5. Malnutrition and Age-Specific Child Mortality Burden in India
(G. Naline, Madras School of Economics, Chennai, Tamil Nadu, India)

Chapter 6. Childhood Underweight in Rural Bangladesh
(Md. Ashfikur Rahman and Md. Sazedur Rahman, Development Studies Discipline, Khulna University, Khulna, Bangladesh, and others)

Chapter 7. Mitigate Child Malnutrition in Developing Countries via Knowledge Extraction Techniques
(Fernando Mgnas, Fernando K. Dinuni, S. N. Ariyadasa, L. K. Munasinghe and S. H. D. Senanayake, University of Colombo School of Computing, Colombo, Sri Lanka)


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