Vol 5, No 2 (2019)





DOI: http://dx.doi.org/10.18063/ijps.v5i2

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Table of Contents

Research Articles

by Rongjun Sun, Haitao Wang
174 Views, 101 PDF Downloads

Using the survey on aged population in urban/rural China from 2000 and 2010, we aim to achieve the following three objectives: First, to document the general trend in older adults’ worry about eldercare, their family relations, socio-economic resources, and the availability of community services; second, to assess if improving socio-economic resources and availability of community services reduce older adults’ worry about eldercare; and third, to examine if family relations are still important during such social changes. Results show that older adults’ improving socioeconomic conditions and expanding community services are associated with less worry about eldercare. Meanwhile, family relations, measured by the number of children, living arrangements, and children’s filial piety, remain important. Our findings demonstrate that while building social welfare programs, including providing community services, certainly alleviates older adults’ worry about eldercare; they are no substitute for family ties, which should be facilitated rather than overlooked by public policies.


Research Articles

by Thirupathi Reddy Mokalla, Vishnu Vardhana Rao Mendu
156 Views, 71 PDF Downloads

In the majority of low- and middle-income counties, child health-care dissimilarities are further aggravated by nutritional status (i.e., stunting, underweight, and wasting). In India, child malnutrition is the most important contributor to disease burden. The present study uses data from the 4th round of the National Family Health Survey (NFHS-4), conducted in 2015-2016. We considered anthropometric indicators of unit-level data of 2, 48, and 174 children aged 0-59 months. This study examines the socio-economic inequality in nutritional status and their determinants among under-5 year children. The factors considered in the analysis were categorized as child age in months, mother’s educational status, mother’s nutritional-status, type of caste, wealth index, birth order, and size of a child at birth. In this study, multivariate logistic regression and concentration index (CI) have been employed to explore the effect of various factors on the child’s nutritional status. The binary logistic analysis has demonstrated a significant association between child nutritional status and mother’s education, mother’s nutritional status, type of caste, wealth index, birth order, and size of a child at birth. The results show that the CI for stunting, underweight, and wasting were −0.14, −0.16, and −0.08. Therefore, these factors were significantly high in poorer households. Our study suggests that the nutrition-specific programs to encourage nutritional adequacy, diversity, reduces the nutritional burden, and growth of child’s in India.

 


Research Articles

by Pedro Henrique Costa, Luciana Correia Alves, Carlos Eduardo Beluzo, Natalia Martins Arruda, Rodrigo Campos Bresan, Tiago Carvalho
384 Views, 59 PDF Downloads

Neonatal deaths account for more than 60% of infant deaths and are a major concern in Brazil. The reduction of the occurrence of these events appears to be more challenging than post-neonatal deaths, as such a reduction depends more on factors related to the pregnancy and childbirth than sanitary and health conditions. The aim of the present study was to evaluate the influence of maternal factors (schooling, marital status, and age) on the risk of neonatal mortality in Brazil between 2006 and 2016. Data were collected from the Brazilian Institute of Geography and Statistics as well as two information systems of the public health-care system: Mortality Information System and Live Birth Information System. The total valid sample size was 28,362,359 children. Visualization and classification methods were performed. The results revealed a considerably higher risk of neonatal deaths when the mothers were unmarried, had a low level of schooling, and were outside the 20-34-year-old age group. Different demographic profiles in Brazil exert an influence on neonatal health. The identification of the risk factors of neonatal mortality can assist in ensuring pregnancy, delivery, and a neonatal period of greater quality.