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1.
Clin Nutr ESPEN ; 33: 294-300, 2019 10.
Article in English | MEDLINE | ID: mdl-31451271

ABSTRACT

BACKGROUND AND OBJECTIVES: Despite the proven benefits of oral nutrition supplements (ONS), its prescription in Thailand are far less than it should mainly due to limitation of reimbursement. Our aim was to compare hospital outcomes between hospitalized patients receiving only hospital food to those receiving hospital food with ONS. METHODS AND STUDY DESIGN: An annual cross-sectional survey, NutritionDay (nD), in Thailand was conducted in 2 hospitals from 2010 to 2015. The hospital outcomes were followed at day 30 after first evaluation. Logistic regression and Cox regression were performed to compare outcome between groups. RESULTS: 524 hospitalized patients, 472 with only hospital food and 52 with ONS, were included. Patients with ONS had longer hospital stay prior to recruitment, reported more physical dependencies, and ate less food. The ONS group was less likely to be discharged within 30 days as compared to hospital food group (unadjusted OR 0.28, 95% CI 0.16-0.52) but this effect was not significant after adjustment for length of stay before nD and PANDORA score (adjusted OR 0.62, 95% CI 0.3-1.34). Cox regression showed a trend to decreased rate of discharge within 30 days in the ONS group. CONCLUSIONS: This cross-sectional study showed a trend of worse outcomes associated with ONS prescription which might be related with higher mortality risk according to PANDORA score and longer previous hospital stay of the patients in the ONS group. Since the 2 studied groups were not comparable, further studies in this specific population should be performed.


Subject(s)
Dietary Supplements , Hospitals , Malnutrition/drug therapy , Administration, Oral , Adult , Aged , Cross-Sectional Studies , Drug Prescriptions , Female , Humans , Logistic Models , Male , Middle Aged , Patient Discharge , Surveys and Questionnaires , Thailand , Treatment Outcome
2.
Endocr Pract ; 23(8): 915-922, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28614006

ABSTRACT

OBJECTIVE: To determine whether fat free mass (FFM) is independently associated with the metabolically healthy obesity (MHO) phenotype, the metabolic syndrome (MS), and type 2 diabetes (T2D) in obese Asian adults. METHODS: Obese patients (body mass index [BMI] ≥25 kg/m2) seeking weight management at an academic medical center from 2007 to 2016 were included. FFM was measured by bioelectrical impedance. RESULTS: Of the 552 patients (67.0% female, median age 40.5 years, median BMI 38.3 kg/m2), MHO was present in 19%, MS in 55.4%, and T2D in 32.6%. In multivariate models, higher fat-free mass index (FFMI) was independently associated with the metabolically abnormal obesity (MAO) phenotype, (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.09-1.37), and increased risk of MS (OR 1.12, 95% CI 1.03-1.22) in women but not in men. Older age was independently associated with the MAO phenotype (OR 1.06, 95% CI 1.04-1.09 in women; OR 1.06, 95% CI 1.02-1.09 in men), MS (OR 1.05, 95% CI 1.03-1.06 in women; OR 1.05, 95% CI 1.02-1.07 in men), and T2D (OR 1.07, 95% CI 1.05-1.09 in women; OR 1.06, 95% CI 1.04-1.09 in men). Waist-hip ratio was independently associated with the MAO phenotype in men (OR 1.08, 95% CI 1.01-1.15), while waist circumference was associated with T2D in women (OR 1.03, 95% CI 1.01-1.05). CONCLUSION: Older age, central fat distribution, and-in contrast to previous findings-an increase in FFMI among women were independent predictors of adverse metabolic health in this cohort of middle-aged obese Asian adults. Further studies are required to elucidate underlying mechanisms and therapeutic implications of these findings. ABBREVIATIONS: BIA = bioelectrical impedance analysis BMI = body mass index CI = confidence interval DXA = dual-energy X-ray absorptiometry FFM = fat-free mass FFMI = fat-free mass index FM = fat mass HbA1c = glycated hemoglobin A1c MAO = metabolically abnormal obesity MHO = metabolically healthy obesity MS = metabolic syndrome OR = odds ratio T2D = type 2 diabetes WC = waist circumference WHR = waist-hip-ratio.


Subject(s)
Asian People , Body Composition , Diabetes Mellitus, Type 2/metabolism , Metabolic Syndrome/metabolism , Muscle, Skeletal , Obesity, Metabolically Benign/physiopathology , Obesity, Morbid/physiopathology , Absorptiometry, Photon , Adipose Tissue , Adult , Body Mass Index , Diabetes Mellitus, Type 2/epidemiology , Electric Impedance , Female , Glycated Hemoglobin/metabolism , Humans , Male , Metabolic Syndrome/epidemiology , Middle Aged , Multivariate Analysis , Obesity, Metabolically Benign/epidemiology , Obesity, Metabolically Benign/metabolism , Obesity, Morbid/epidemiology , Obesity, Morbid/metabolism , Odds Ratio , Risk Factors , Waist Circumference , Waist-Hip Ratio
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