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Factors that influence children s dietary diversity
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Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression
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5,6 It leads to premature births, low birth weight, fetal cognitive impairment and death.
7–9 Similarly, maternal anemia increases the risk of preterm delivery and low birth weight, and iron-deficiency anemia underlies 115,000 maternal deaths and 591,000 perinatal deaths each year.
3 Although anemia is a common problem of pregnant women in developing countries, pregnancy outcomes vary depending on the level of maternal hemoglobin.
The Ethiopian Demographic and Health Survey (EDHS) showed that prevalence of anemia among women aged 15–49 years declined from 27% in 2005 to 17% in 2011, but increased to 24% in 2016 of which pregnant women account for 29%. But, due to different socio-economic status, behavioral, geographical and methodological differences, the national figures from the EDHS could not represent the prevalence of anemia among pregnant women in different parts of Ethiopia.
9 excluding nations like Rwanda and Ghana.
10,11 Researchers investigated and identified barriers that diminished enrolment. Unaffordability of payment, poor and limited referral services and weak management which resulted in lack of client trust have been the major identified constraints to enrolment.
A scientific investigation in Burkina Faso pointed out that the cost of premium, inaccessibility of health facilities, poor quality services, absence of health seeking behavior and local notions were the major constraints that held down enrolment initiatives.
14 A research in Tanzania also reported family size, economic status, family members’ health condition and awareness of CBHI were the major factors connected with membership.
Background
Adolescence is a particularly vulnerable stages of life in which malnutrition inhibits academic performance through poor growth and development, mental retardation, poor overall cognitive function and poor health status. However, there is a dearth of evidence regarding the association between nutritional status and academic performance among adolescent students. Therefore, this study aimed to determine the association of nutritional status and academic performance among adolescent secondary school students in Wolaita Sodo town, Southern Ethiopia.
Methods
A facility-based cross-sectional study was conducted among 670 systematically selected adolescents in secondary schools of Wolaita Sodo town from April to June 2019. The academic performance of the adolescents was measured using the mean mark score of two consecutive semesters’ results of all subjects. Data were analyzed using Stata software Version 15. Descriptive statistics, binary and multiple linear regression ana
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