中文(繁體)
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Nutrients 2019-Oct

Severe Weight Loss and Its Association with Fatigue in Old Patients at Discharge from a Geriatric Hospital.

只有註冊用戶可以翻譯文章
登陸註冊
鏈接已保存到剪貼板
Kristina Franz
Lindsey Otten
Ursula Müller-Werdan
Wolfram Doehner
Kristina Norman

關鍵詞

抽象

Although malnutrition is frequent in the old, little is known about its association with fatigue. We evaluated the relation of self-reported severe weight loss with fatigue and the predictors for fatigue in old patients at hospital discharge. Severe weight loss was defined according to involuntary weight loss ≥5% in the last three months. We determined fatigue with the validated Brief Fatigue Inventory questionnaire. The regression analyses were adjusted for age, sex, number of comorbidities, medications/day, and BMI. Of 424 patients aged between 61 and 98 y, 34.1% had severe weight loss. Fatigue was higher in patients with severe weight loss (3.7 ± 2.3 vs. 3.2 ± 2.3 points, p = 0.021). In a multinomial regression model, weight loss was independently associated with higher risk for moderate fatigue (OR:1.172, CI:1.026-1.338, p = 0.019) and with increased risk for severe fatigue (OR:1.209, CI:1.047-1.395, p = 0.010) together with the number of medications/day (OR:1.220, CI:1.023-1.455, p = 0.027). In a binary regression model, severe weight loss predicted moderate-to-severe fatigue in the study population (OR:1.651, CI:1.052-2.590, p = 0.029). In summary, patients with self-reported severe weight loss at hospital discharge exhibited higher fatigue levels and severe weight loss was an independent predictor of moderate and severe fatigue, placing these patients at risk for impaired outcome in the post-hospital period.

加入我們的臉書專頁

科學支持的最完整的草藥數據庫

  • 支持55種語言
  • 科學支持的草藥療法
  • 通過圖像識別草藥
  • 交互式GPS地圖-在位置標記草藥(即將推出)
  • 閱讀與您的搜索相關的科學出版物
  • 通過藥效搜索藥草
  • 組織您的興趣並及時了解新聞研究,臨床試驗和專利

輸入症狀或疾病,並閱讀可能有用的草藥,輸入草藥並查看其所針對的疾病和症狀。
*所有信息均基於已發表的科學研究

Google Play badgeApp Store badge