Johanna de Almeida Mello , Emilie Schoebrechts , Patricia Ann Ivonne Vandenbulcke , Anja Declercq , Jan De Lepeleire , Christophe Matthys , Dominique Declerck , Joke Duyck
{"title":"洞察养老院居民营养不良的相关风险因素:纵向研究。","authors":"Johanna de Almeida Mello , Emilie Schoebrechts , Patricia Ann Ivonne Vandenbulcke , Anja Declercq , Jan De Lepeleire , Christophe Matthys , Dominique Declerck , Joke Duyck","doi":"10.1016/j.clnu.2024.09.024","DOIUrl":null,"url":null,"abstract":"<div><h3>Background & aims</h3><div>Malnutrition often remains undetected in older persons, leading to increased health problems and comorbidity, prolonged hospital stays and readmissions. In 2020, data from the interRAI Home Care (interRAI HC) instrument was used to determine malnutrition status according to some of the criteria of the Global Leadership Initiative on Malnutrition (GLIM). The interRAI HC instrument showed to be effective as a screening tool for the risk of malnutrition. The goal of the present study is to use the interRAI Long Term Care Facilities (interRAI LTCF) instrument for nursing home residents to identify factors related to older people's health that are significantly associated with the development of malnutrition.</div></div><div><h3>Methods</h3><div>This study analyzes data collected in the period 2019–2023 from nursing home residents, 65 or older, with a follow-up period of 1 year. After applying the GLIM criteria to the available interRAI LTCF data, a cross-sectional sample a longitudinal sample were analyzed by means of bivariate analysis. Factors included in the bivariate analysis were based in previous studies and expert opinion. Unadjusted and adjusted regression models were built to explore associations between several potential risk factors and nutritional status.</div></div><div><h3>Results</h3><div>The sample consisted of 5598 older people with a mean age of 83.98 ± 7.30 years old and 71.2 % being female. Most people needed extensive assistance with activities of daily living (70.9%) and had at least a mild cognitive impairment (63.9%). According to the GLIM definition using the interRAI items, 8.43% of the residents were malnourished and 4.67% of the residents became malnourished over the period of 1 year. The final adjusted logistic regression yielded significant odds ratios for seven determinants: age (O.R. 1.03; C.I.: 1.01; 1.04), depressive symptoms (O.R.: 1.32; 1.01; 1.73), assistance needed for walking (O.R. 1.49; C.I.: 1.13; 1.95), wandering behavior (O.R. 1.16; C.I.: 1.01; 1.33), falls (O.R. 1.17; C.I.: 1.02; 1.35), visual impairment (O.R. 1.22; C.I.: 1.05; 1.42) and diabetes (protective factor - O.R.: 0.67; C.I.: 0.46; 0.98).</div></div><div><h3>Conclusions</h3><div>The study showed the main risk factor for malnourishment in nursing home residents, such as age, depressions, assistance for walking, wandering and visual impairment. These significant factors can be used to identify people at risk of malnourishment. Periodically screening residents with the interRAI LTCF can help identify malnourished residents or residents at risk of malnourishment.</div></div>","PeriodicalId":10517,"journal":{"name":"Clinical nutrition","volume":"43 11","pages":"Pages 166-173"},"PeriodicalIF":6.6000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insights into the associated risk factors of malnutrition among nursing home residents: A longitudinal study\",\"authors\":\"Johanna de Almeida Mello , Emilie Schoebrechts , Patricia Ann Ivonne Vandenbulcke , Anja Declercq , Jan De Lepeleire , Christophe Matthys , Dominique Declerck , Joke Duyck\",\"doi\":\"10.1016/j.clnu.2024.09.024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background & aims</h3><div>Malnutrition often remains undetected in older persons, leading to increased health problems and comorbidity, prolonged hospital stays and readmissions. In 2020, data from the interRAI Home Care (interRAI HC) instrument was used to determine malnutrition status according to some of the criteria of the Global Leadership Initiative on Malnutrition (GLIM). The interRAI HC instrument showed to be effective as a screening tool for the risk of malnutrition. The goal of the present study is to use the interRAI Long Term Care Facilities (interRAI LTCF) instrument for nursing home residents to identify factors related to older people's health that are significantly associated with the development of malnutrition.</div></div><div><h3>Methods</h3><div>This study analyzes data collected in the period 2019–2023 from nursing home residents, 65 or older, with a follow-up period of 1 year. After applying the GLIM criteria to the available interRAI LTCF data, a cross-sectional sample a longitudinal sample were analyzed by means of bivariate analysis. Factors included in the bivariate analysis were based in previous studies and expert opinion. Unadjusted and adjusted regression models were built to explore associations between several potential risk factors and nutritional status.</div></div><div><h3>Results</h3><div>The sample consisted of 5598 older people with a mean age of 83.98 ± 7.30 years old and 71.2 % being female. Most people needed extensive assistance with activities of daily living (70.9%) and had at least a mild cognitive impairment (63.9%). According to the GLIM definition using the interRAI items, 8.43% of the residents were malnourished and 4.67% of the residents became malnourished over the period of 1 year. The final adjusted logistic regression yielded significant odds ratios for seven determinants: age (O.R. 1.03; C.I.: 1.01; 1.04), depressive symptoms (O.R.: 1.32; 1.01; 1.73), assistance needed for walking (O.R. 1.49; C.I.: 1.13; 1.95), wandering behavior (O.R. 1.16; C.I.: 1.01; 1.33), falls (O.R. 1.17; C.I.: 1.02; 1.35), visual impairment (O.R. 1.22; C.I.: 1.05; 1.42) and diabetes (protective factor - O.R.: 0.67; C.I.: 0.46; 0.98).</div></div><div><h3>Conclusions</h3><div>The study showed the main risk factor for malnourishment in nursing home residents, such as age, depressions, assistance for walking, wandering and visual impairment. These significant factors can be used to identify people at risk of malnourishment. Periodically screening residents with the interRAI LTCF can help identify malnourished residents or residents at risk of malnourishment.</div></div>\",\"PeriodicalId\":10517,\"journal\":{\"name\":\"Clinical nutrition\",\"volume\":\"43 11\",\"pages\":\"Pages 166-173\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical nutrition\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0261561424003315\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical nutrition","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0261561424003315","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Insights into the associated risk factors of malnutrition among nursing home residents: A longitudinal study
Background & aims
Malnutrition often remains undetected in older persons, leading to increased health problems and comorbidity, prolonged hospital stays and readmissions. In 2020, data from the interRAI Home Care (interRAI HC) instrument was used to determine malnutrition status according to some of the criteria of the Global Leadership Initiative on Malnutrition (GLIM). The interRAI HC instrument showed to be effective as a screening tool for the risk of malnutrition. The goal of the present study is to use the interRAI Long Term Care Facilities (interRAI LTCF) instrument for nursing home residents to identify factors related to older people's health that are significantly associated with the development of malnutrition.
Methods
This study analyzes data collected in the period 2019–2023 from nursing home residents, 65 or older, with a follow-up period of 1 year. After applying the GLIM criteria to the available interRAI LTCF data, a cross-sectional sample a longitudinal sample were analyzed by means of bivariate analysis. Factors included in the bivariate analysis were based in previous studies and expert opinion. Unadjusted and adjusted regression models were built to explore associations between several potential risk factors and nutritional status.
Results
The sample consisted of 5598 older people with a mean age of 83.98 ± 7.30 years old and 71.2 % being female. Most people needed extensive assistance with activities of daily living (70.9%) and had at least a mild cognitive impairment (63.9%). According to the GLIM definition using the interRAI items, 8.43% of the residents were malnourished and 4.67% of the residents became malnourished over the period of 1 year. The final adjusted logistic regression yielded significant odds ratios for seven determinants: age (O.R. 1.03; C.I.: 1.01; 1.04), depressive symptoms (O.R.: 1.32; 1.01; 1.73), assistance needed for walking (O.R. 1.49; C.I.: 1.13; 1.95), wandering behavior (O.R. 1.16; C.I.: 1.01; 1.33), falls (O.R. 1.17; C.I.: 1.02; 1.35), visual impairment (O.R. 1.22; C.I.: 1.05; 1.42) and diabetes (protective factor - O.R.: 0.67; C.I.: 0.46; 0.98).
Conclusions
The study showed the main risk factor for malnourishment in nursing home residents, such as age, depressions, assistance for walking, wandering and visual impairment. These significant factors can be used to identify people at risk of malnourishment. Periodically screening residents with the interRAI LTCF can help identify malnourished residents or residents at risk of malnourishment.
期刊介绍:
Clinical Nutrition, the official journal of ESPEN, The European Society for Clinical Nutrition and Metabolism, is an international journal providing essential scientific information on nutritional and metabolic care and the relationship between nutrition and disease both in the setting of basic science and clinical practice. Published bi-monthly, each issue combines original articles and reviews providing an invaluable reference for any specialist concerned with these fields.