ArticleMaternal & child nutrition2025
Hemoglobin level and common mental disorder among school adolescent girls in Central Ethiopia: Structural Equation Model.
Article in Maternal & child nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- School-Based Weekly Iron-Folic Acid Supplementation and Its Effect on Mental Health Outcomes Among Adolescent Girls in Central Ethiopia: A Cluster-Randomized Controlled Trial.Journal of nutrition and metabolism · 2026Article
- Prevalence and clinical correlates of aggressive behavior in male inpatients with alcohol dependence during hospitalization.Frontiers in psychiatry · 2026Article
- Interrelated adolescent-level food insecurity and common mental health disorders in Harari Region, Ethiopia: A cross-sectional study.PloS one · 2026Article
- Hemoglobin level and common mental disorder among school adolescent girls in Central Ethiopia: Structural Equation Model.Maternal & child nutrition · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
The prevalence of common mental disorder (CMD) and anemia is observed to be on the rise over time, adversely affecting the health and overall quality of life among adolescents. Extensive literature corroborates the significant impact of anemia on cognitive development, intelligence and developmental milestones. Nevertheless, the linkage between hemoglobin level and CMD emerging during adolescence remains relatively unexplored. Thus, the objective of this study was to investigate the association between hemoglobin level and CMD as well as the mediating factor among school adolescent girls residing in Central Ethiopia. A cross-sectional study design was conducted among adolescent girls attending schools in Silti Woreda, Central Ethiopia, comprising a total sample size of 516 individuals during the period from October 2-20, 2023. Hemoglobin level was adjusted for altitude, while CMD was evaluated utilising the summation score of a 20-item Self-Reporting Questionnaire. Data were analysed through fitting Structural Equation Model and the maximum likelihood estimation method. Goodness of fit was assessed using the χ2The -test statistic, Comparative Fit Index, Root Mean Square Error of Approximation, Standardised Root Mean Square Residual, Non-Normed Fit Index, Pclose and coefficient of determination (R
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