Value ≤ 0.05 was considered to declare statistically significant variables. Adjusted Odds Ratio (AOR) with its 95% confidence interval (CI) was calculated, and a The bivariable and multivariable logistic regression model was fitted to identify factors associated with stunting.
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Stata Version 14 and WHO Anthro-plus software were used to analyze the data. A pretested, structured, and interviewer-administered questionnaire was used to collect the required data. A multistage sampling method was used to sample 662 adolescent girls in selected primary schools. We conducted a school-based cross-sectional study. Therefore, this study is aimed at determining the prevalence of stunting and its associated factors among early adolescent school girls age 10 to 14 in Gondar town. In Ethiopia, stunting has mostly been examined in early childhood, with limited information at the early adolescent age. Adolescent girls are potentially at a higher risk of stunting as they are traditionally married at an early age in low-income countries.
Stunting is a crucial indicator of long-term chronic undernutrition that reflects a failure to reach a linear growth. On the other side, adolescent girls whose their mothers’ were government employees and merchants were less stunted as compared to adolescent girls who had a mother who were housewife’s.Ĭonclusion: we found that stunting in early adolescent school girls become a significant public health problem and much needs to be done to improve nutritional status of girls in the first 1000 days of perinatal period to reduce a burden of stunting during adolescent period. The odds of stunting in adolescent girls was found to be higher among those in grade 5, had a meal frequency of less than or equal to three times per day, and those who are from food insecure families. Results: We estimated a prevalence of stunting to be 27.5%.
Adjusted odds ratio with its 95% confidence interval and a P- value ≤ 0.05 was used to declare a statistical significant. Bi-variable and multivariable logistic regression analyses were run to identify factors associated with adolescent stunting. We used SPSS Version 20.0 and WHO Anthro-plus software to analyze the data. Pre-tested structured interviewer administered questionnaire was used to collect the required data. A multi stage sampling method was used to select a sample of 662 adolescent girls in selected primary schools in Gondar Town.
Methods: we conducted a school based cross-sectional study to assess the prevalence and determinant factors of stunting among early adolescent school girls (age 10-14 years) of Gondar town. Stunting has been considered as a problem of children’s at early age and adolescent girls of tomorrow mothers have been neglected and studies conducted on this area are very scarce. Introduction: Stunting in adolescent have an effect on physical growth, intellectual capacity, educational achievement, work capacity and more importantly it maintains an intergenerational malnutrition burden.
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