| Title |
Screening for malnutrition in community dwelling older Japanese: Preliminary development and evaluation of the Japanese Nutritional Risk Screening Tool (NRST)
|
|---|---|
| Published in |
The journal of nutrition, health & aging, February 2016
|
| DOI | 10.1007/s12603-015-0555-3 |
| Pubmed ID | |
| Authors |
N.C. Htun, Kazuko Ishikawa-Takata, A. Kuroda, T. Tanaka, T. Kikutani, S.P. Obuchi, H. Hirano, K. Iijima |
| Abstract |
Early and effective screening for age-related malnutrition is an essential part of providing optimal nutritional care to older populations. This study was performed to evaluate the adaptation of the original SCREEN II questionnaire (Seniors in the Community: Risk Evaluation for Eating and Nutrition, version II) for use in Japan by examining its measurement properties and ability to predict nutritional risk and sarcopenia in community-dwelling older Japanese people. The ultimate objective of this preliminary validation study is to develop a license granted full Japanese version of the SCREEN II. The measurement properties and predictive validity of the NRST were examined in this cross-sectional study of 1921 community-dwelling older Japanese people. Assessments included medical history, and anthropometric and serum albumin measurements. Questions on dietary habits that corresponded to the original SCREEN II were applied to Nutritional Risk Screening Tool (NRST) scoring system. Nutritional risk was assessed by the Geriatric Nutrition Risk Index (GNRI) and the short form of the Mini-Nutritional Assessment (MNA-SF). Sarcopenia was diagnosed according to the criteria of the European Working Group on Sarcopenia in Older People. The nutritional risk prevalences determined by the GNRI and MNA-SF were 5.6% and 34.7%, respectively. The prevalence of sarcopenia was 13.3%. Mean NRST scores were significantly lower in the nutritionally at-risk than in the well-nourished groups. Concurrent validity analysis showed significant correlations between NRST scores and both nutritional risk parameters (GNRI or MNA-SF) and sarcopenia. The areas under the receiver operating characteristic curves (AUC) of NRST for the prediction of nutritional risk were 0.635 and 0.584 as assessed by GNRI and MNA-SF, respectively. AUCs for the prediction of sarcopenia were 0.602 (NRST), 0.655 (age-integrated NRST), and 0.676 (age and BMI-integrated NRST). These results indicate that the NRST is a promising screening tool for the prediction of malnutrition and sarcopenia in community-dwelling older Japanese people. Further development of a full Japanese version of the SCREEN II is indicated. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 17% |
| Student > Bachelor | 11 | 15% |
| Researcher | 8 | 11% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Doctoral Student | 6 | 8% |
| Other | 12 | 16% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 21% |
| Nursing and Health Professions | 11 | 15% |
| Social Sciences | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 7% |
| Neuroscience | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2015.
All research outputs
#16,835,337
of 25,728,855 outputs
Outputs from The journal of nutrition, health & aging
#1,514
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Outputs of similar age
#234,906
of 408,437 outputs
Outputs of similar age from The journal of nutrition, health & aging
#19
of 31 outputs
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