Cargando…

Feeding Patterns and Predictors of Malnutrition in Infants from Poor Socioeconomic Areas in Pakistan: A Cross-sectional Survey

Introduction: Malnutrition, a state of under or over nutrition caused by improper food intake, causes significant morbidity and mortality in developing countries. It leads to a number of diseases which can be further divided into those caused by protein-caloric malnutrition and those caused by vitam...

Descripción completa

Detalles Bibliográficos
Autores principales: Nisar, Muhammad Umer, Anwar ul Haq, Malik Muhammad, Tariq, Saad, Anwar, Madiha, Khawar, Anam, Waqas, Ahmed, Nisar, Anam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744076/
https://www.ncbi.nlm.nih.gov/pubmed/26918220
http://dx.doi.org/10.7759/cureus.452
Descripción
Sumario:Introduction: Malnutrition, a state of under or over nutrition caused by improper food intake, causes significant morbidity and mortality in developing countries. It leads to a number of diseases which can be further divided into those caused by protein-caloric malnutrition and those caused by vitamin deficiencies, micronutrient, and mineral deficiencies. The purpose of this study was to identify the factors which contribute to malnutrition and to assess the dietary pattern in the pediatric population from birth up to five months belonging to poor socioeconomic areas. The children in this sample presented to a tertiary care hospital in the district of Sargodha, Pakistan. The findings in this cohort will support the development of an effective plan to tackle these issues. Methods: This cross-sectional study was undertaken between June 2014 and December 2014 at the inpatient pediatric department of District Headquarter Hospital Sargodha. Data were collected and recorded on a predesigned form which consisted of four sections to record 1) demographics: parents' level of education, monthly income, number of dependent household members, and birth interval; 2) anthropometric and personal history, birth history, and degree of malnutrition; 3) any secondary causes of malnutrition; and 4) feeding history. The data were analyzed in SPSS v. 20. Chi-squared, phi statistics, and logistic regression analysis were run to analyze the data. Results: A total of 294 participants were included in the study. Logistic regression analysis showed that the degree of malnutrition was associated negatively with increasing age and positively with family size. A majority of children (144, 49%) were being breastfed for less than 5 minutes followed by 38 (13%) > 5 minutes to 15 minutes, and 2 (0.7%) > 15 minutes while 110 (37 %) infants were not breastfed. Children who were breastfed were less likely to have severe malnutrition than those who were given formula, fresh cow's or goat's milk, or more than one type of food. Conclusion: Children who were breastfed were less likely to have severe malnutrition. The degree of malnutrition was negatively associated with age and positively associated with family size.