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1.
Asian Pac J Cancer Prev ; 25(2): 555-562, 2024 Feb 01.
Artículo en Inglés | MEDLINE | ID: mdl-38415542

RESUMEN

BACKGROUND: Ovarian cancer patients often face poor nutritional status, with body composition (BC) serving as a significant prognostic indicator. Skeletal muscle mass (SMM) and fat-free mass (FFM) are crucial predictors of both survival and hospitalization duration. Increasing protein intake has been linked to improvements in SMM and FFM. OBJECTIVE: This study aimed to document the alterations in BC parameters among ovarian cancer patients undergoing chemotherapy and correlate these changes with their nutrient intake. METHODS: Twelve female patients with stage III ovarian cancer who received first-line chemotherapy were categorized based on their body mass indices (BMI). BC parameters were assessed using an 8-point bioelectrical impedance analysis with a frequency of 50 Hz-60 Hz and measurement impedance range of 10 Ω-1000 Ω. Nutrient intake (energy, protein, fat, and carbohydrate) was assessed before (T0), during the 3rd (T3), and 6th cycle of chemotherapy (T6) through 24-hour food recall. RESULTS: Significant increases in body weight (BW)were observed in the underweight group (from 40.9 to 46.8 kg, p=0.001), concomitant with enhancements in all BC parameters. While changes were noted in SMM, they were not statistically significant (p=0.105).Among the underweight group, a protein intake above 1.2 g/kg BW led to an uptrend trend in SMM. Conversely, FFM in overweight/obese patients decreased significantly (from 37.6 to 36.4 kg, p=0.005) due to a a reduction in body water. Throughout chemotherapy, fat mass (FM), visceral fat (VAT), and phase angle (PhA) increased in all patient groups, reflecting heightened fat and carbohydrate intake. CONCLUSION: Among stage III ovarian cancer patients, BC undergoes dynamic changes dynamically during the course of chemotherapy, with more pronounced enhancements observed in FFM among underweight patients. Notably, improvements in PhA, SMM or FFM were particularly evident among underweight patients with a protein intake above 1.2 g/kg BW.


Asunto(s)
Neoplasias Ováricas , Delgadez , Humanos , Femenino , Carcinoma Epitelial de Ovario/tratamiento farmacológico , Composición Corporal/fisiología , Índice de Masa Corporal , Neoplasias Ováricas/tratamiento farmacológico , Carbohidratos , Impedancia Eléctrica
2.
Medicine (Baltimore) ; 101(49): e32256, 2022 Dec 09.
Artículo en Inglés | MEDLINE | ID: mdl-36626522

RESUMEN

In developing nations such as Indonesia, obesity and central obesity have emerged as major public health issues. Many studies have revealed that morbidity and death from obesity-related diseases are already significant in some "Asian" communities at low body mass index (BMI) levels. A recent study showed that the obesity prevalence in Indonesia is underestimated when using the current BMI cutoff (obese ≥ 27.0). Indonesia faced an increase in obesity-related chronic diseases despite having a lower obesity prevalence than developed countries, which may be explained by the underestimation of obesity levels in Indonesia. This creates a huge global health problem, as well as an economic burden. Another recent study on the Indonesian population depicted the new proposed cutoff of waist circumference (WC), which is lower than the World Health Organization (WHO) standard for detecting the early detection of type 2 diabetes mellitus (T2DM), one of the comorbidities and a strong correlation with obesity. An analysis of 58 studies in 2021 that included Indonesian adult subjects revealed enormous differences and ambiguities in defining obesity cutoffs values among Indonesian researchers. Additionally, we advocate adding the Edmonton Obesity Staging System (EOSS) staging to the anthropometric classification for a better clinical evaluation of obesity. Considering the urgency of obesity determination in Indonesia for clinical application and study purposes, this review highlights the need to revise the optimal cutoff value for obesity to warrant early prevention and control of diabetes complications.


Asunto(s)
Diabetes Mellitus Tipo 2 , Adulto , Humanos , Indonesia/epidemiología , Diabetes Mellitus Tipo 2/epidemiología , Diabetes Mellitus Tipo 2/complicaciones , Obesidad/complicaciones , Índice de Masa Corporal , Obesidad Abdominal/epidemiología , Circunferencia de la Cintura , Factores de Riesgo
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