{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T16:09:32Z","timestamp":1785427772560,"version":"3.56.0"},"reference-count":46,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T00:00:00Z","timestamp":1759968000000},"content-version":"unspecified","delay-in-days":281,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Nutr Sci"],"published-print":{"date-parts":[[2025]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Adolescents from low-income households are at increased risk of growth failures due to inadequate food intake. This cross-sectional study assessed dietary practices and nutritional status according to FANTA measurement standards. Among 610 randomly selected adolescents attending public primary schools in rural and semi-urban Kuyu district. Dietary diversity and anthropometric measurements (height, weight, and Body Mass Index) were collected and analysed using SPSS version 26 and WHO Anthro Plus software. The study population included 36% females and 69% semi-urban residents. Dietary analysis revealed that most adolescents consumed two or fewer daily meals, primarily cereals and legumes. Over 90% of the households consumed less than four food groups during the 7-day recall period. The anthropometric assessment showed significant undernutrition: 19% of early adolescent girls and 34% of late adolescent boys were underweight; 27.5% were stunted; 8% and 5.9% had moderate and severe undernutrition, respectively; and 13.8% exhibited thinness, with boys more affected (35%) than girls (10%). Additionally, 7% were overweight, and 64% presented single, double, or triple growth failures. Regression analysis showed that Children in female-headed households had 1.7 times higher odds of stunting, adolescent girls had 1.8 times higher odds of thinness, late adolescents had 70% lower odds of being overweight, and adolescents from households with off-farm activities had 4.5 times higher odds of being overweight. Inadequate meal frequency and limited dietary diversity contribute to the high prevalence of undernutrition among Kuyu district adolescents. A school feeding programme is strongly recommended.<\/jats:p>","DOI":"10.1017\/jns.2025.10019","type":"journal-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T01:55:09Z","timestamp":1759974909000},"source":"Crossref","is-referenced-by-count":0,"title":["Household livelihood, diet, and nutritional status of adolescent schoolchildren in Kuyu District, North Shewa, Oromia, Ethiopia"],"prefix":"10.1017","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5453-7482","authenticated-orcid":false,"given":"Kassahun","family":"Ketema","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/038b8e254","id-type":"ROR","asserted-by":"publisher"}],"name":"Addis Ababa University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aregash","family":"Samuel","sequence":"additional","affiliation":[{"name":"Environmental Health and Non-communicable Disease Research Directorate"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mogessie","family":"Ashenafi","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/038b8e254","id-type":"ROR","asserted-by":"publisher"}],"name":"Addis Ababa University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2025,10,9]]},"reference":[{"key":"S2048679025100190_ref15","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780195171693.001.0001"},{"key":"S2048679025100190_ref3","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCRESAHA.123.322065"},{"key":"S2048679025100190_ref31","doi-asserted-by":"publisher","DOI":"10.1177\/0379572120968978"},{"key":"S2048679025100190_ref32","doi-asserted-by":"publisher","DOI":"10.1186\/s40795-019-0309-4"},{"key":"S2048679025100190_ref38","doi-asserted-by":"publisher","DOI":"10.47509\/MES.2022.v03i01.10"},{"key":"S2048679025100190_ref28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0293316"},{"key":"S2048679025100190_ref44","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/8846723"},{"key":"S2048679025100190_ref20","doi-asserted-by":"publisher","DOI":"10.1080\/23311932.2023.2276565"},{"key":"S2048679025100190_ref2","doi-asserted-by":"publisher","DOI":"10.3177\/jnsv.65.S4"},{"key":"S2048679025100190_ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s40795-021-00471-x"},{"key":"S2048679025100190_ref37","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-021-11392-6"},{"key":"S2048679025100190_ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s40795-023-00739-4"},{"key":"S2048679025100190_ref18","unstructured":"18. WHO. AnthroPlus for Personal Computers Manual: Software for assessing growth of the world\u2019s children and adolescents. WHO, Geneva; Published 2009. Accessed November 11, 2022. https:\/\/www.who.int\/tools\/growth-reference-datafor-5to19-years."},{"key":"S2048679025100190_ref34","doi-asserted-by":"publisher","DOI":"10.1080\/03670244.2019.1636793"},{"key":"S2048679025100190_ref27","doi-asserted-by":"publisher","DOI":"10.1186\/s40795-021-00430-6"},{"key":"S2048679025100190_ref33","first-page":"1","article-title":"Assessment of adolescents\u2019 under nutrition level among school students in Eastern Tigray, Ethiopia: a cross-sectional study","volume":"5","author":"Weres","year":"2015","journal-title":"J Nutr Food Sci."},{"key":"S2048679025100190_ref4","doi-asserted-by":"publisher","DOI":"10.29219\/fnr.v65.7686"},{"key":"S2048679025100190_ref39","doi-asserted-by":"publisher","DOI":"10.5334\/aogh.4550"},{"key":"S2048679025100190_ref43","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6249524"},{"key":"S2048679025100190_ref45","first-page":"e104521","article-title":"Does participation in non-farm activities provide food security? Evidence from rural Ethiopia","volume":"8","author":"Esfaye","year":"2022","journal-title":"Cogent Soc Sci."},{"key":"S2048679025100190_ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.cdnut.2024.104521"},{"key":"S2048679025100190_ref35","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000038271"},{"key":"S2048679025100190_ref23","first-page":"476","article-title":"Risk factors of malnutrition among in-school children and adolescents in developing countries: a scoping review","volume":"11","author":"Amoadu","year":"2024","journal-title":"Children (Basel)."},{"key":"S2048679025100190_ref8","unstructured":"8. ESS. Population Size by Sex, Region, Zone, and Wereda (Total). Ethiopian Statistical Service. 2024. Accessed June 6, 2025. https:\/\/www.statsethiopia.gov.et."},{"key":"S2048679025100190_ref16","unstructured":"16. Cashin, K , Oot, L. Guide to Anthropometry: A Practical Tool for Program Planners, Managers, and Implementers. Washington, DC: Food and Nutrition Technical Assistance III Project (FANTA); 2018."},{"key":"S2048679025100190_ref30","doi-asserted-by":"publisher","DOI":"10.3389\/fnut.2024.00000"},{"key":"S2048679025100190_ref6","doi-asserted-by":"publisher","DOI":"10.1017\/S0029665123002689"},{"key":"S2048679025100190_ref7","first-page":"46","article-title":"Determinants of rural multi-dimensional poverty: the case from Kuyu District, Central Ethiopia","volume":"25","author":"Yehuwalashet","year":"2020","journal-title":"IOSR J Humanit Soc Sci."},{"key":"S2048679025100190_ref29","first-page":"1261","article-title":"Assessment of diet quality in children and adolescents with overweight or obesity in Greece","volume":"10","author":"Androutsos","year":"2023","journal-title":"Children (Basel)."},{"key":"S2048679025100190_ref25","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/3592813"},{"key":"S2048679025100190_ref42","doi-asserted-by":"publisher","DOI":"10.3389\/fnut.2022.933895"},{"key":"S2048679025100190_ref13","unstructured":"13. Kennedy, G , Ballard, T , Dop, M. Guidelines for Measuring Household and Individual Dietary Diversity. Nutrition and Consumer Protection Division. Rome: FAO; 2013."},{"key":"S2048679025100190_ref9","volume-title":"Annual Report 2021"},{"key":"S2048679025100190_ref10","unstructured":"10. Daniel, W , Cross, C. Biostatistics: A Foundation for Analysis in the Health Sciences. 11th Australia & New Zealand ed. 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Swindale, A , Bilinsky, P. Household Dietary Diversity Score (HDDS) for Measurement of Household Food Access: Indicator Guide. Washington, DC: FANTA; 2006."},{"key":"S2048679025100190_ref1","doi-asserted-by":"publisher","DOI":"10.1093\/cdn\/nzab087"},{"key":"S2048679025100190_ref26","doi-asserted-by":"publisher","DOI":"10.2147\/JMDH.S327456"},{"key":"S2048679025100190_ref41","first-page":"e01159","article-title":"Gender and occupation of household head as major determinants of malnutrition among children in Nigeria","volume":"16","author":"Ashagidigbi","year":"2022","journal-title":"Sci Afr."},{"key":"S2048679025100190_ref19","first-page":"48","article-title":"Determinants of crop production failure in Kuyu Woreda, North Shoa, Oromia Regional State, Ethiopia","volume":"72","author":"Yehuwalashet","year":"2018","journal-title":"Food Sci Qual Manag."}],"container-title":["Journal of Nutritional Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S2048679025100190","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T01:55:16Z","timestamp":1759974916000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S2048679025100190\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":46,"alternative-id":["S2048679025100190"],"URL":"https:\/\/doi.org\/10.1017\/jns.2025.10019","relation":{},"ISSN":["2048-6790"],"issn-type":[{"value":"2048-6790","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"article-number":"e68"}}