Background & Aims: Malnutrition is a significant geriatric syndrome (GS) prevalent in older adults and seriously affects patient prognosis and quality of life. We assessed the impact of the multicomponent intervention of health education, dietary advice, and exercise with oral nutritional supplementation (ONS) on nutritional status, body composition, physical functions, and quality of life.
Methods: This multicenter randomized clinical trial (RCT) was performed from April 2021 to April 2022. The intervention lasted for 12 weeks, and 99 older adults with malnutrition or at risk of malnutrition were enrolled in six nursing homes. All participants were randomly assigned to the control (health education plus standard diet plus exercise) or research (health education plus standard diet plus exercise plus ONS) group. The research group consumed ONS (244 kcal, 9.8g protein, and 9.6g fat per time) twice a day between meals. The primary outcomes were changes in the nutritional status and body composition from baseline to 12 weeks. The secondary outcomes were changes in physical function, quality of life and nutritional associated other blood markers.
Results: For primary outcomes, after 12 weeks, body weight increased similarly in both treatment arms (time × treatment effect, P > 0.05). There were no between-group differences in body mass index (BMI) or mini nutritional assessment tool-short form (MNA-SF) scores (time × treatment effects, P > 0.05). The MNA-SF score from 11.0 (10.5, 12.0) to 13.0 (11.0, 13.0) in the research group and from 11.0 (10.0, 12.0) to 12.0 (11.0, 13.0) in the control group (both P < 0.05). There were no between-group differences in the skeletal muscle mass index (SMI), fat-free mass index (FFMI), appendicular skeletal muscle mass (ASMM), fat mass (FAT), or leg muscle mass (LMM) (time × treatment effects, P > 0.05). Both groups showed similar and highly significant increases in SMI, FFMI, and LMM after (P < 0.05). The research group showed an increase in fat-free mass (FFM) and ASMM and a decrease in the percent of body fat (PBF) and waist circumference (WC) (P < 0.05). For secondary outcomes, There were no between-group differences in grip strength, short physical performance battery (SPPB), 6-min walking distance (6MWD), activities of daily living (ADL), instrumental activities of daily living (IADL), frailty status (FRAIL), mini-mental state examination (MMSE), Tinetti, geriatric depression scale-15 (GDS-15), or 12-item short form survey (SF-12) (time × treatment effects, P > 0.05). Although there was no significant difference, the 6MWD changed differentially between the two treatment arms during the study period in favor of the research group. Although not significant, SF-12 scores improved after 12 weeks in both groups. No between-group differences were observed in prealbumin (PRE), c-reactive protein (CRP), vitamin D (VIT-D), insulin-like growth factor 1 (IGF-1), alanine transaminase (ALT), aspartate aminotransferase (AST), serum creatinine (Scr), interleukin-6 (IL-6), interleukin-10 (IL-10), tumor necrosis factor-α (TNF-α), insulin, and adiponectin levels (time × treatment effects, P > 0.05). Insulin and adiponectin levels were significantly higher in the control group (P < 0.05).
Conclusion: The twelve-week multicomponent intervention improved the nutritional status of older people in China at risk of malnutrition. ONS may enhance the effects of exercise on muscle mass. This clinical trial was registered (https://www.
Clinicaltrials: gov). The trial number is ChiCTR2000040343.
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http://dx.doi.org/10.1016/j.clnesp.2024.01.004 | DOI Listing |
J Diabetes
January 2025
Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing City, Jiangsu Province, China.
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Over the past decade, neuropathological diagnosis has undergone significant changes, integrating morphological features with molecular biomarkers. The molecular era has successfully refined neuropathological diagnostic accuracy; however, a substantial number of CNS tumor diagnoses remain challenging, particularly in children. DNA methylation classification has emerged as a powerful machine learning approach for clinical decision-making in CNS tumors.
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