{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T17:31:19Z","timestamp":1769103079117,"version":"3.49.0"},"reference-count":83,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:00:00Z","timestamp":1704844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science, Grant-in-Aid for Early Career Scientists (KAKENHI)","doi-asserted-by":"publisher","award":["22K17827"],"award-info":[{"award-number":["22K17827"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>Malnutrition is a common condition in geriatric rehabilitation settings; however, the accuracy and predictive validity of the measures to identify malnutrition have not been established. The current scoping review followed the Joanna Briggs Institute\u2019s evidence synthesis manual and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews checklist. Literature published through September 2023 was searched using MEDLINE and CINAHL. The inclusion criteria selected studies reporting malnutrition measures, which include static body weight and weight loss. Identified tools were classified as nutritional screening tools, nutritional assessment tools, or diagnostic criteria. The domains of each tool\/criterion and their accuracy and predictive validity were extracted. Fifty-six articles fulfilled the inclusion criteria, and six nutritional screening tools, three nutritional assessment tools, and three diagnostic criteria for malnutrition were identified. These measures consisted of various phenotypes, e.g., weight loss, causes such as inflammation\/disease, and risk factors of malnutrition, e.g., functional impairment. The predictive validity of nutritional screening tools (n = 6) and malnutrition diagnostic criteria (n = 5) were inconsistently reported, whereas those for nutritional assessment tools were scarce (n = 1). These findings highlight the need to distinguish the functional impairment of nutritional origin from that of non-nutritional origin in nutritional assessment procedures, and the need to study the accuracy and the predictive validity of these measures in geriatric rehabilitation patients.<\/jats:p>","DOI":"10.3390\/nu16020223","type":"journal-article","created":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T07:50:48Z","timestamp":1704873048000},"page":"223","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Measures for Identifying Malnutrition in Geriatric Rehabilitation: A Scoping Review"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6726-8605","authenticated-orcid":false,"given":"Shinta","family":"Nishioka","sequence":"first","affiliation":[{"name":"Department of Clinical Nutrition and Food Service, Nagasaki Rehabilitation Hospital, 4-11, Gin-yamachi, Nagasaki 850-0854, Japan"},{"name":"Department of Clinical Nutrition and Food Management, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3261-8721","authenticated-orcid":false,"given":"Yoji","family":"Kokura","sequence":"additional","affiliation":[{"name":"Department of Nutrition Management, Keiju Hatogaoka Integrated Facility for Medical and Long-Term Care, 15-39-8, Mugigaura, Anamizu, Hosu-gun 927-0023, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3274-3952","authenticated-orcid":false,"given":"Ryo","family":"Momosaki","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu 514-8507, Mie, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4690-4243","authenticated-orcid":false,"given":"Yutaka","family":"Taketani","sequence":"additional","affiliation":[{"name":"Department of Clinical Nutrition and Food Management, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.clnu.2018.08.002","article-title":"GLIM criteria for the diagnosis of malnutrition\u2014A consensus report from the global clinical nutrition community","volume":"38","author":"Cederholm","year":"2019","journal-title":"Clin. 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