Literature DB >> 28786068

Analysis on nutritional risk screening and influencing factors of hospitalized patients in central urban area.

Su-Yun Li1,2, Jiao-Hua Yu3, Zhao-Feng Diao1, Li Zeng2, Min-Jie Zeng4, Xiao-Fang Shen5, Lin Zhang2, Wen-Jia Shi2, Hui Ke2, Huan Wang2, Xian-Na Zhang2.   

Abstract

Rational nutritional support shall be based on nutritional screening and nutritional assessment. This study is aimed to explore nutritional risk screening and its influencing factors of hospitalized patients in central urban area. It is helpful for the early detection of problems in nutritional supports, nutrition management and the implementation of intervention measures, which will contribute a lot to improving the patient's poor clinical outcome. A total of three tertiary medical institutions were enrolled in this study. From October 2015 to June 2016, 1202 hospitalized patients aged ≥18 years were enrolled in Nutrition Risk Screening 2002 (NRS2002) for nutritional risk screening, including 8 cases who refused to participate, 5 cases of same-day surgery and 5 cases of coma. A single-factor chi-square test was performed on 312 patients with nutritional risk and 872 hospitalized patients without nutritional risk. Logistic regression analysis was performed with univariate analysis (P<0.05), to investigate the incidence of nutritional risk and influencing factors. The incidence of nutritional risk was 26.35% in the inpatients, 25.90% in male and 26.84% in female, respectively. The single-factor analysis showed that the age ≥60, sleeping disorder, fasting, intraoperative bleeding, the surgery in recent month, digestive diseases, metabolic diseases and endocrine system diseases had significant effects on nutritional risk (P<0.05). Having considered the above-mentioned factors as independent variables and nutritional risk (Y=1, N=0) as dependent variable, logistic regression analysis revealed that the age ≥60, fasting, sleeping disorders, the surgery in recent month and digestive diseases are hazardous factors for nutritional risk. Nutritional risk exists in hospitalized patients in central urban areas. Nutritional risk screening should be conducted for inpatients. Nutritional intervention programs should be formulated in consideration of those influencing factors, which enable to reduce the nutritional risk and to promote the rehabilitation of inpatients.

Entities:  

Keywords:  analysis of influencing factors; hospitalized patients; medical management; nutritional risk screening

Mesh:

Year:  2017        PMID: 28786068     DOI: 10.1007/s11596-017-1782-0

Source DB:  PubMed          Journal:  J Huazhong Univ Sci Technolog Med Sci        ISSN: 1672-0733


  16 in total

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Journal:  Clin Nutr       Date:  2003-04       Impact factor: 7.324

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Authors:  Janice Sorensen; Jens Kondrup; Jacek Prokopowicz; Marc Schiesser; Lukas Krähenbühl; Rémy Meier; Martin Liberda
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4.  Impact of nutritional support on clinical outcome in patients at nutritional risk: a multicenter, prospective cohort study in Baltimore and Beijing teaching hospitals.

Authors:  Bin Jie; Zhu-Ming Jiang; Marie T Nolan; David T Efron; Shai-Nan Zhu; Kang Yu; Jens Kondrup
Journal:  Nutrition       Date:  2009-12-05       Impact factor: 4.008

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Authors:  S T Burden; J Hill; J L Shaffer; C Todd
Journal:  J Hum Nutr Diet       Date:  2010-05-13       Impact factor: 3.089

7.  Evaluation methods on the nutritional status of stroke patients.

Authors:  J Wang; B Luo; Y Xie; H-Y Hu; L Feng; Z-N Li
Journal:  Eur Rev Med Pharmacol Sci       Date:  2014       Impact factor: 3.507

8.  Gender differences in factors associated with nutritional status of older medical patients.

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Journal:  J Am Coll Nutr       Date:  2006-04       Impact factor: 3.169

9.  Exogenous melatonin for sleep problems in individuals with intellectual disability: a meta-analysis.

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Journal:  Dev Med Child Neurol       Date:  2009-05       Impact factor: 5.449

10.  Effect of nutritional support on clinical outcome in patients at nutritional risk.

Authors:  Niels Johansen; Jens Kondrup; Lise Munk Plum; Line Bak; Pernille Nørregaard; Else Bunch; Hanne Baernthsen; Jens Rikardt Andersen; Irene Højlund Larsen; Anette Martinsen
Journal:  Clin Nutr       Date:  2004-08       Impact factor: 7.324

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1.  Glycemic index, glycemic load, and glycemic response to pomelo in patients with type 2 diabetes.

Authors:  Shi-Ying Shao; Wei-Jie Xu; Jing Tao; Jian-Hua Zhang; Xin-Rong Zhou; Gang Yuan; Yan Yang; Jing Zhang; Hong-Yan Zhang; Qiang Xu; Xiu-Xin Deng; Shu-Hong Hu; Mu-Xun Zhang; Zhe-Long Liu; Xue-Feng Yu
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2017-10-20
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