ArticleTheScientificWorldJournal2020
Prevalence and Associated Factors of Thinness among Adolescent Students in Finote Selam Town, Northwest Ethiopia.
Article in TheScientificWorldJournal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Trends and Associated Factors of Malnutrition Among Adolescents With Diarrhoea in Bangladesh: A Retrospective Cross-Sectional Surveillance Study Using Adaptive LASSO.Health science reports · 2026Article
- Article
- Stunting and Underweight among Adolescent Girls of Indigenous Communities in Telangana, India: A Cross-Sectional Study.Nutrients · 2024Article
- Undernutrition and its associated factors among school adolescent girls in Abuna Gindeberet district, Central Ethiopia: a cross-sectional study.BMC nutrition · 2022Article
- Prevalence and associated factors of stunting and thinness among adolescent students in Finote Selam Town, Northwest Ethiopia.Journal of health, population, and nutrition · 2021Article
- Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Even if adolescence is a window of opportunity to break the intergenerational cycle of malnutrition, adolescents are the neglected age groups. Hence, information regarding the nutritional status of adolescents is lacking, making creating and implementing intervention programs difficult. This study aimed to assess the prevalence and determinants of thinness among school adolescents in Finote Selam Town, Northwest Ethiopia. A school-based cross-sectional study among adolescent students aged 10-19 in public primary and secondary schools was carried out in Finote Selam Town from February 05 to March 27, 2018. Stratified and simple random sampling techniques were employed to select study subjects. A total of 397 adolescent students were included in the study. Pretested structured questionnaires were used to collect the data. Data were entered using Epi Info version 7 and analyzed using SPSS version 20 and WHO AnthroPlus software. A multivariable binary logistic regression analysis was employed to identify factors associated with thinness. Crude and adjusted odds ratios with 95% level significance were used to measure the strength of association, and statistical significance was declared at
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