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      Inequalities in early childhood mortality in Myanmar - Association between parents’ socioeconomic status and early childhood mortality

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          ABSTRACT

          Background: Despite global achievements in reducing early childhood mortality, disparities remain. There have been empirical studies of inequalities conducted in low- and middle-income countries. However, there have been no epidemiological studies on socioeconomic inequalities and early childhood survival in Myanmar.

          Objective: To estimate associations between two measures of parental socioeconomic status – household wealth and education – and age-specific early childhood mortality in Myanmar.

          Methods: Using cross-sectional data obtained from the Myanmar Demographic Health Survey (2015–2016), univariate and multiple logistic regressions were performed to investigate associations between household wealth and highest attained parental education, and under-5, neonatal, post-neonatal and child mortality. Data for 10,081 children born to 5,932 married women (aged 15–49 years) 10 years prior to the survey, were analysed.

          Results: Mortality during the first five years was associated with household wealth. In multiple logistic models, wealth was protective for post-neonatal mortality. After adjusting for individual proximate determinants, the odds of post-neonatal mortality in the richest households were 85% lower (95% CI: 50–96%) than in the poorest households. However, significant association was not found between wealth and neonatal mortality. Parental education was important for early childhood mortality; the highest benefit from parental education was for child mortality in the one- to five-year age bracket. After adjusting for proximate determinants, children with a higher educated parent had 95% (95% CI 77–99%) lower odds of death in this age group compared with children whose parents’ highest educational attainment was at primary level. The association between parental education and neonatal mortality was not significant.

          Conclusions: In Myanmar, household wealth and parental education are important for childhood survival before five years of age. This study identified nuanced age-related differences in associations. Health policy must take socioeconomic determinants into account in order to address unfair inequalities in early childhood mortality.

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          Most cited references22

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          Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation.

          In 2000, world leaders agreed on the Millennium Development Goals (MDGs). MDG 4 called for a two-thirds reduction in the under-5 mortality rate between 1990 and 2015. We aimed to estimate levels and trends in under-5 mortality for 195 countries from 1990 to 2015 to assess MDG 4 achievement and then intended to project how various post-2015 targets and observed rates of change will affect the burden of under-5 deaths from 2016 to 2030.
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            Maternal education and child health: is there a strong causal relationship?

            Using data from the first round of Demographic and Health Surveys for 22 developing countries, we examine the effect of maternal education on three markers of child health: infant mortality, children's height-for-age, and immunization status. In contrast to other studies, we argue that although there is a strong correlation between maternal education and markers of child health, a causal relationship is far from established. Education acts as a proxy for the socioeconomic status of the family and geographic area of residence. Introducing controls for husband's education and access to piped water and toilet attenuate the impact of maternal education on infant mortality and children's height-for-age. This effect is further reduced by controlling for area of residence through the use of fixed-effects models. In the final model, maternal education has a statistically significant impact on infant mortality and height-for-age in only a handful of countries. In contrast, maternal education remains statistically significant for children's immunization status in about one-half of the countries even after individual-level and community-level controls are introduced.
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              Decomposing socioeconomic inequality in infant mortality in Iran.

              Although measuring socioeconomic inequality in population health indicators like infant mortality is important, more interesting for policy purposes is to try to explain infant mortality inequality. The objective of this paper is to quantify for the first time the determinants' contributions of socioeconomic inequality in infant mortality in Iran. A nationally representative sample of 108 875 live births from October 1990 to September 1999 was selected. The data were taken from the Iranian Demographic and Health Survey (DHS) conducted in 2000. Households' socioeconomic status was measured using principal component analysis. The concentration index of infant mortality was used as our measure of socioeconomic inequality and decomposed into its determining factors. The largest contributions to inequality in infant mortality were owing to household economic status (36.2%) and mother's education (20.9%). Residency in rural/urban areas (13.9%), birth interval (13.0%), and hygienic status of toilet (11.9%) also proved important contributors to the measured inequality. The findings indicate that socioeconomic inequality in infant mortality in Iran is determined not only by health system functions but also by factors beyond the scope of health authorities and care delivery system. This implies that in addition to reducing inequalities in wealth and education, investments in water and sanitation infrastructure and programmes (especially in rural areas) are necessary to realize improvements of inequality in infant mortality across society. These findings can be instrumental for the recent 5 year Economic, Social and Cultural Development Plan of Iran, which identified the reduction of inequalities in social determinants of health.
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                Author and article information

                Journal
                Glob Health Action
                Glob Health Action
                ZGHA
                zgha20
                Global Health Action
                Taylor & Francis
                1654-9716
                1654-9880
                2019
                08 May 2019
                : 12
                : 1
                : 1603516
                Affiliations
                [a ]Department of Preventive and Social Medicine, University of Medicine Mandalay , Mandalay, Myanmar
                [b ]Department of Epidemiology and Global Health, Umeå University , Umeå, Sweden
                [c ]Research Centre for Generational Health and Ageing, Faculty of Health, University of Newcastle , New Lambton Heights, NSW, Australia
                [d ]Division of Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University , Umeå, Sweden
                Author notes
                CONTACT Sai San Moon Lu moonlu04@ 123456gmail.com University of Medicine Mandalay , 30th Street, Between 73rd and 74th street, Chanayetharzan Township, Mandalay, Myanmar
                Author information
                http://orcid.org/0000-0001-6533-0762
                http://orcid.org/0000-0002-8854-498X
                Article
                1603516
                10.1080/16549716.2019.1603516
                6507915
                31066344
                597405fe-58fc-487e-b2b0-3130e0ac2bff
                © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 November 2018
                : 02 April 2019
                Page count
                Figures: 5, Tables: 3, References: 53, Pages: 13
                Funding
                Funded by: Swedish Institute Study Scholarship
                The first author was supported by a Swedish Institute Study Scholarship.
                Categories
                Original Article

                Health & Social care
                household wealth,parental education,neonatal mortality,post-neonatal mortality,under-5 mortality

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