Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis

• Published in: BMC public health Vol. 22; no. 1; p. 334
• Main Authors: Fagbamigbe, Adeniyi Francis, Morakinyo, Oyewale Mayowa, Balogun, Folusho Mubowale
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 16.02.2022; BioMed Central; BMC
• Subjects: Birth weight; Births; Cement; Child; Child, Preschool; Children; Children & youth; Death; Decomposition; Developing Countries; Drinking water; Fairlie decomposition; Fatalities; Female; Females; Gender differences; Gender equality; Health aspects; Households; Humans; Income; Inequalities; Inequality; Infant, Newborn; LDCs; Low- and middle-income countries; Male; Males; Pediatric research; Poverty; Premature birth; Prevalence; Sex; Sex inequality; Socioeconomic Factors; Statistical analysis; Under-five death; Variables; Nigeria; Under-five death; Fairlie decomposition; Low- and middle-income countries; Sex inequality
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-022-12679-y

There exist sex disparities in the burden of Under-five deaths (U5D) with a higher prevalence among male children. Factors explaining this inequality remain unexplored in Low-and Medium-Income Countries (LMIC). This study quantified the contributions of the individual- and neighborhood-level factors to sex inequalities in U5D in LMIC. Demographic and Health Survey datasets (2010-2018) of 856,987 under-five children nested in 66,495 neighborhoods across 59 LMIC were analyzed. The outcome variable was U5D. The main group variable was the sex of the child while individual-level and neighborhood-level factors were the explanatory variables. Fairlie decomposition analysis was used to quantify the contributions of explanatory factors to the male-female inequalities in U5D at p<0.05. Overall weighted prevalence of U5D was 51/1000 children, 55 among males and 48 among females (p<0.001). Higher prevalence of U5D was recorded among male children in all countries except Liberia, Kyrgyz Republic, Bangladesh, Nepal, Armenia, Turkey and Papua New Guinea. Pro-female inequality was however not significant in any country. Of the 59 countries, 25 had statistically significant pro-male inequality. Different factors contributed to the sex inequality in U5D in different countries including birth order, birth weight, birth interval and multiple births. There were sex inequalities in the U5D in LMIC with prominent pro-male-inequality in many countries. Interventions targeted towards the improvement of the health system that will, in turn, prevent preterm delivery and improve management of prematurity and early childhood infection (which are selective threats to the male child survival) are urgently required to address this inequality.