Prevalence and the factors associated with malnutrition risk in elderly Chinese inpatients

Abstract Background Malnutrition is an under recognized, but common issue in elderly patients. This study aimed to investigate the prevalence of poor nutritional status and identify comprehensive geriatric assessment‐based clinical factors associated with increased malnutrition risk to assessing malnutrition risk in hospitalized elderly patients in China. Methods A total of 365 elderly hospitalized patients (178 women, 76.37 ± 7.74 years) undertook a comprehensive geriatric assessment (CGA), and have their nutritional status assessed using the short‐form mini‐nutritional assessment. Results Among 365 patients, 32 (8.77%) were malnourished and 112 (30.68%) were at risk of malnutrition. A logistic regression analysis showed that age (odds ratio [OR], 1.59; 95% confidence interval [CI], 1.13‐2.23), alcohol consumption (OR, 2.04; 95% CI, 1.19‐3.48), presence or history of cancer or heart failure (OR, 3.48 and 2.86; 95% CI, 1.49‐8.13 and 1.12‐7.27), depression (OR, 2.86; 95% CI, 1.97‐4.17), body mass index (OR, 5.62; 95% CI, 3.62‐8.71), being dependent in activity of daily living (OR, 3.81; 95% CI, 2.61‐5.57), a lower score in instrumental activities of daily living (OR, 3.01; 95% CI, 2.09‐4.33), recent fall(s) (OR, 2.22; 95% CI, 1.37‐2.91), cognitive impairment (OR, 1.81; 95% CI, 1.30‐2.53), insomnia (OR, 1.49; 95% CI, 1.07‐2.06), hemoglobin and albumin level (OR, 1.72 and 2.86; 95% CI, 1.17‐2.50 and 1.53‐5.36) were independent correlates of malnutrition in older patients. Conclusion Our study demonstrated that age, alcohol consumption, chronic diseases (cancer and heart failure), depression, body mass index, function status, recent fall(s), cognitive impairment, insomnia, and low hemoglobin and albumin levels were independently associated with malnutrition in these patients. Comprehensive geriatric assessment can provide detailed information of older patients and can be a useful tool for assessing malnutrition risk‐associated factors.

Abstract licence: CC BY-NC

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