Abstract
Malnutrition and hypoalbuminemia are critical health challenges among hospitalized older adults, contributing to increased morbidity, prolonged hospital stays, and higher mortality risks. In this cross-sectional study, we aimed to determine the prevalence and factors associated with hypoalbuminemia and malnutrition risk in older inpatients at Military Hospital 354, Hanoi, Vietnam, from January–June 2025. A total of 264 patients aged 65 and older were recruited from geriatric, internal medicine, and rehabilitation wards. Hypoalbuminemia was defined as serum albumin levels <35 g/L, and malnutrition risk was assessed using the Mini Nutritional Assessment-Short Form (MNA-SF; score < 12). Data on demographic (age, sex, education, cohabitation) and clinical/biochemical factors (primary diagnosis, hemoglobin, lymphocyte, zinc, ferritin) were collected within 48 hours of admission. The prevalence of hypoalbuminemia was 33.0%, and 73.5% of patients were malnourished or at risk of malnutrition. Multivariable logistic regression identified older age (AOR 1.09, 95% CI 1.01–1.18) and male sex (AOR 2.17, 95% CI 1.14–4.17) as significant factors associated with malnutrition risk, while female sex was protective for both hypoalbuminemia (AOR 0.48, 95% CI 0.27–0.86) and malnutrition risk (AOR 0.46, 95% CI 0.24–0.88). Higher lymphocyte counts were associated with hypoalbuminemia (AOR 1.24, 95% CI 1.00–1.53). Spearman’s correlations revealed strong positive associations between zinc and ferritin (r = 0.74, p < 0.01) and negative correlations of age with zinc (r = −0.43) and ferritin (r = −0.33). These findings highlight the high burden of nutritional deficits in Vietnam’s older inpatients and underscore the need for routine MNA-SF and albumin screening to guide early interventions, particularly targeting micronutrient deficiencies in resource-constrained settings.
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Lan, T. T. P., Van Phu, P., Huong, L. T., Hung, L. X., & Dung, N. Q. (2025). Factors associated with hypoalbuminemia and malnutrition risk in older inpatients: A detailed analysis of demographic and clinical characteristics. AIMS Public Health, 12(4), 1115–1127. https://doi.org/10.3934/publichealth.2025056
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