Beata Jankowska-Polańska Ph.D. , Anna Tomasiewicz M.D. , Jacek Polański M.D., Ph.D. , Wojciech Tański M.D., Ph.D.
{"title":"波兰社区病人虚弱、营养不良和慢性病之间的关系","authors":"Beata Jankowska-Polańska Ph.D. , Anna Tomasiewicz M.D. , Jacek Polański M.D., Ph.D. , Wojciech Tański M.D., Ph.D.","doi":"10.1016/j.nut.2025.112850","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Frailty and malnutrition significantly impact the well-being and quality of life of the aging population. Understanding how frailty, nutritional condition, and chronic diseases correlate with each other is fundamental for designing individualized prevention and intervention methods.</div></div><div><h3>Objectives</h3><div>To analyze the relationships between frailty, nutritional status, and associated sociodemographic and clinical factors in older individuals participating in the “Golden Years in Health” program.</div></div><div><h3>Methods</h3><div>This cross-sectional study involved 727 community-dwelling adults aged 65–100 years from Wrocław, Poland. Validated tools were used to assess nutritional status (Mini Nutritional Assessment, MNA) and frailty (Tilburg Frailty Indicator, TFI). Logistic regression and correlation analyses were employed to explore associations between variables. Receiver Operating Characteristic (ROC) curve analysis was conducted to identify key predictors of malnutrition.</div></div><div><h3>Results</h3><div>Malnutrition or risk of malnutrition was most prevalent among participants with severe frailty (p < 0.001). Logistic regression identified low BMI (≤23.9 kg/m²; OR = 2.96, 95% CI: 1.89–4.63), polypharmacy (≥3 medications daily; OR = 2.40, 95% CI: 1.59–3.62), and frailty (TFI ≥7; OR = 3.77, 95% CI: 2.45–5.80) as significant predictors of malnutrition risk. ROC analysis indicated that the TFI score had the highest predictive accuracy for malnutrition (AUC = 0.71, 95% CI: 0.66–0.75).</div></div><div><h3>Conclusions</h3><div>Frailty, low BMI, and polypharmacy are strongly associated with malnutrition in older adults. These findings underscore the need for integrated screening and targeted interventions to mitigate nutritional risk and improve outcomes in aging populations.</div></div>","PeriodicalId":19482,"journal":{"name":"Nutrition","volume":"139 ","pages":"Article 112850"},"PeriodicalIF":3.2000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between frailty, malnutrition, and chronic diseases in community-based patients in Poland\",\"authors\":\"Beata Jankowska-Polańska Ph.D. , Anna Tomasiewicz M.D. , Jacek Polański M.D., Ph.D. , Wojciech Tański M.D., Ph.D.\",\"doi\":\"10.1016/j.nut.2025.112850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Frailty and malnutrition significantly impact the well-being and quality of life of the aging population. Understanding how frailty, nutritional condition, and chronic diseases correlate with each other is fundamental for designing individualized prevention and intervention methods.</div></div><div><h3>Objectives</h3><div>To analyze the relationships between frailty, nutritional status, and associated sociodemographic and clinical factors in older individuals participating in the “Golden Years in Health” program.</div></div><div><h3>Methods</h3><div>This cross-sectional study involved 727 community-dwelling adults aged 65–100 years from Wrocław, Poland. Validated tools were used to assess nutritional status (Mini Nutritional Assessment, MNA) and frailty (Tilburg Frailty Indicator, TFI). Logistic regression and correlation analyses were employed to explore associations between variables. Receiver Operating Characteristic (ROC) curve analysis was conducted to identify key predictors of malnutrition.</div></div><div><h3>Results</h3><div>Malnutrition or risk of malnutrition was most prevalent among participants with severe frailty (p < 0.001). Logistic regression identified low BMI (≤23.9 kg/m²; OR = 2.96, 95% CI: 1.89–4.63), polypharmacy (≥3 medications daily; OR = 2.40, 95% CI: 1.59–3.62), and frailty (TFI ≥7; OR = 3.77, 95% CI: 2.45–5.80) as significant predictors of malnutrition risk. ROC analysis indicated that the TFI score had the highest predictive accuracy for malnutrition (AUC = 0.71, 95% CI: 0.66–0.75).</div></div><div><h3>Conclusions</h3><div>Frailty, low BMI, and polypharmacy are strongly associated with malnutrition in older adults. These findings underscore the need for integrated screening and targeted interventions to mitigate nutritional risk and improve outcomes in aging populations.</div></div>\",\"PeriodicalId\":19482,\"journal\":{\"name\":\"Nutrition\",\"volume\":\"139 \",\"pages\":\"Article 112850\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0899900725001686\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0899900725001686","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Association between frailty, malnutrition, and chronic diseases in community-based patients in Poland
Background
Frailty and malnutrition significantly impact the well-being and quality of life of the aging population. Understanding how frailty, nutritional condition, and chronic diseases correlate with each other is fundamental for designing individualized prevention and intervention methods.
Objectives
To analyze the relationships between frailty, nutritional status, and associated sociodemographic and clinical factors in older individuals participating in the “Golden Years in Health” program.
Methods
This cross-sectional study involved 727 community-dwelling adults aged 65–100 years from Wrocław, Poland. Validated tools were used to assess nutritional status (Mini Nutritional Assessment, MNA) and frailty (Tilburg Frailty Indicator, TFI). Logistic regression and correlation analyses were employed to explore associations between variables. Receiver Operating Characteristic (ROC) curve analysis was conducted to identify key predictors of malnutrition.
Results
Malnutrition or risk of malnutrition was most prevalent among participants with severe frailty (p < 0.001). Logistic regression identified low BMI (≤23.9 kg/m²; OR = 2.96, 95% CI: 1.89–4.63), polypharmacy (≥3 medications daily; OR = 2.40, 95% CI: 1.59–3.62), and frailty (TFI ≥7; OR = 3.77, 95% CI: 2.45–5.80) as significant predictors of malnutrition risk. ROC analysis indicated that the TFI score had the highest predictive accuracy for malnutrition (AUC = 0.71, 95% CI: 0.66–0.75).
Conclusions
Frailty, low BMI, and polypharmacy are strongly associated with malnutrition in older adults. These findings underscore the need for integrated screening and targeted interventions to mitigate nutritional risk and improve outcomes in aging populations.
期刊介绍:
Nutrition has an open access mirror journal Nutrition: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
Founded by Michael M. Meguid in the early 1980''s, Nutrition presents advances in nutrition research and science, informs its readers on new and advancing technologies and data in clinical nutrition practice, encourages the application of outcomes research and meta-analyses to problems in patient-related nutrition; and seeks to help clarify and set the research, policy and practice agenda for nutrition science to enhance human well-being in the years ahead.