Impact of Underweight after Treatment on Prognosis of Advanced-Stage Ovarian Cancer by Se Ik Kim, Hee Seung Kim, Tae Hun Kim, Dong Hoon Suh, Kidong Kim, Jae Hong No, Hyun Hoon Chung, Yong Beom Kim, Yong Sang Song

“…A total of 360 patients with stage III-IV epithelial ovarian cancer were enrolled and divided into three groups by body mass indexes (BMIs): underweight (BMI < 18.5 kg/m2); normal weight to overweight (18.5 kg/m2 BMI < 27.5 kg/m2); obesity (BMI ≥ 27.5 kg/m2). …”
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Nationwide Outcomes of Heart Transplantation for Postpartum Cardiomyopathy by Ilias P. Doulamis, Aspasia Tzani, Ahmet Kilic, Toshiki Kuno, Alexandros Briasoulis

“…Results: A total of 677 patients were identified, with a mean age of 35 years. The mean body mass index (BMI) was 27.2 kg/m2; the most common comorbidity was type 2 diabetes (T2D) (n = 589; 87%). …”
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Impact of hospital formulary intervention on carbapenem use: a segmented time-series analysis of consumption and a propensity score-matched non-inferiority study of treatment effic... by Nakaba Okamura, Ayano Katagiri, Tomoya Komori, Kei Kawanabe, Hirofumi Koike, Yukiko Sahashi, Rie Kubota

“…To assess treatment efficacy, we used non-inferiority analysis with propensity score matching based on age, sex, body mass index, cancer status, and baseline blood test results. …”
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Operation time as a prognostic indicator on postoperative complications following percutaneous nephrolithotomy by Alireza Pakdel, Abdolreza Mohammadi, Amirreza Shamshirgaran, Ehsan Zemanati Yar, Leila Zareian Baghdadabad, Farshid Alaeddini, Roghayeh Koohi Ortakand, Leonardo Oliveira Reis, Seyed Reza Hosseini, Seyed Mohammad Kazem Aghamir

“…Multivariate analysis indicated that longer operation times and lower body mass index correlated with higher complication rates. …”
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Correlation between Obesity and Left Atrial Enlargement in Patients Using Cardiac Magnetic Resonance by Solos Jaturapisanukul, Yodying Kaolawanich, Methat Meechuen, Thananya Boonyasirinant

“…Clinical variables, including body mass index (BMI), were collected from the medical records. …”
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The Loge GDR Was Strongly Associated with NAFLD as a Predictor in Normoalbuminuric Patients with Type 2 Diabetes by Ji B, Gao G, Zhao H, Sheng J, Ma X, Shi S, Ban B

“…Biochemical and clinical data were collected, including parameters essential for calculating the loge GDR (triglycerides, urinary albumin-to-creatinine ratio, γ-glutamyl transferase and body mass index), as well as other relevant covariates required for adjustment. …”
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A longitudinal study of the association between the outcome of bariatric surgery and mental health indicators in Chinese patients: an examination of the interaction effect by Hung-Yen Lin, Te-Chang Changchien, Tsung-Jen Hsieh, Cheng-Sheng Chen, Yung-Chieh Yen

“…Following surgery, notable improvements were observed in physical condition and mental health. The average body mass index (BMI) decreased by 13.46 (SD 8.28), the CHQ scores decreased by 1.52 (SD 2.76), and the TDQ scores decreased by 5.08 (SD 8.58). …”
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Identifying high-risk population segments for underweight, overweight, and obesity among reproductive-age women in sub-Saharan Africa by Amare Abera Tareke, Amare Abera Tareke, Anissa Mohammed, Amare Muche, Yeshimebet Ali

“…Nutritional status was assessed using body mass index (BMI). We computed the pooled prevalence of different forms of malnutrition using the random effects inverse variance method. …”
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Prevalence, influencing factors, and prediction model construction of anemia in ankylosing spondylitis based on real-world data: An exploratory study. by Yifan Gong, Kun Yang, Zhaoyang Geng, Hongxiao Liu

“…Based on the results of multivariate stepwise logistic regression analysis, a predictive model for anemia in AS was established as Logit(P) = -5.02 + 2.041 × gender -1.11 × BMI(body mass index) category + 1.103 × ossification category + 0.942 × CRP category + 1.476 × ESR category. …”
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The relationships among food neophobia, mediterranean diet adherence, and eating disorder risk among university students: a cross-sectional study by Nilufer Ozkan, Fatma Hazan Gul

“…Results Most participants (67.7%) had a normal body mass index (BMI), 19.3% were classified as overweight, and 3.7% were classified as obese. …”
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High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study by Indah Budiastutik, Martha I. Kartasurya, Hertanto W. Subagio, Bagoes Widjanarko

“…A total of 506 adults underwent screening to obtain subjects with fasting blood glucose (FBS) of ≤124 mg/dL and aged >30 years. Blood pressure and body mass index (BMI) were measured. Interview using a structured questionnaire were performed to obtain data on predictor variables (age, sex, education, income, health insurance, tobacco use, history of hypertension, gout, high cholesterol level, frequency of exercise per week, and diabetic education). …”
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Safety and tolerability of intramuscular sotrovimab administered at different injection sites: results from the Phase 1 COSMIC study by Jennifer Moore, Alicia Aylott, Wen-Hung Chen, Jerzy Daniluk, Ian A. Hawes, Sergio Parra, Prosenjit Sarkar, Yasmin Sanchez-Pearson, Megan Turner, Amanda Peppercorn, Andrew Skingsley

“…Of 329 participants screened, 215 (65%) received sotrovimab (median age 39 [range 19–65] years; 57% female; mean body mass index 25.4 kg/m2). Overall, 46% (n = 99/215) of participants reported AEs; the most common was injection site pain (30%; n = 65/215). …”
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The effects of artificial sweeteners on body weight, body fat, and energy intake: A meta-analysis of meta-analyses by Fatemeh Hamedi-Kalajahi, Sanaz Asemani, Kousalya Prabahar, Neda Jourabchi-Ghadim, Alireza Ostadrahimi

“…Therefore, this umbrella meta-analyses was conducted to resolve these discrepancies and offer definitive evidence on the impact of ASs on body weight (BW), body mass index (BMI), and energy intake. Methods: PubMed, Scopus, EMBASE, and Web of Science were systematically searched from inception up to March 2023. …”
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Impact of obesity on iron metabolism and the effect of intravenous iron supplementation in obese patients with absolute iron deficiency by Laura Tarancon-Diez, Marianela Iriarte-Gahete, Pilar Sanchez-Mingo, Mª Ángeles Muñoz-Fernandez, Maria Luisa Navarro-Gomez, Yolanda M. Pacheco, Manuel Leal

“…Iron-related, hematological and inflammatory biomarkers along with erythropoietin (EPO) were studied based on body mass index (BMI) in a Spanish cohort of non-anemic participants (n = 721; 67% women; median age of 48 years [IQR: 39–57]) and in a subgroup of subjects (n = 110) with absolute ID (ferritin < 50 ng/mL) after completing an IV iron therapy. …”
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The association between body composition and overall survival in patients with advanced non-small cell lung cancer by Liang Fu, Haiming Ding, Liupei Mo, Xiaoyu Pan, Lijuan Feng, Shenglian Wen, Qiaoqing Lan, Liling Long

“…No association was found between body mass index (BMI) and chest muscle status indicators and overall survival (P > 0.05). …”
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Intra-Articular Application of Sluijter-Teixera Poisson Pulsed Radiofrequency in Symptomatic Patients with Knee Osteoarthritis: Focus upon Clinical Efficacy and Safety by D. Filippiadis, A. Tsochatzis, E. Petsatodis, S. Galanis, G. Velonakis, C. Giankoulof, A. Kelekis

“…Mean patient age was 71.59 ± 11.99 years, mean body mass index was 30.23 ± 4.69, and male/female ratio was 9/30. …”
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The Relationship between Perirenal Fat Thickness and Reduced Glomerular Filtration Rate in Patients with Type 2 Diabetes by Yuan Fang, Yuechao Xu, Yuxian Yang, Chang Liu, Dong Zhao, Jing Ke

“…The basic and clinical characteristics including sex, age, diabetes duration, body mass index (BMI), waist circumference (WC), visceral fat area (VFA), glycated hemoglobin (HbA1c), serum uric acid (UA), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), and high-density lipoprotein cholesterol (HDL-c) were collected. …”
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Assessment of anthropometric measurements and body composition of selected beginner South West Ethiopian soccer players by Esayas Haılu, Daniel Kıbret

“…The international Society for the Advancement of Kinanthropometry (ISAK) protocol was considered to measure the following anthropometric variables :weight measurements, n_/1; girths, n_/10; lengths, n_/6, skin folds, n_/2;(body fat% and lean mass)and body mass index n-1.The data was analyzed by SPSS version 19, moreover, the level of significance was set at (P lt;0.05). …”
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The Impact of Creatine Supplementation on Physical Performance, Cognitive Functions, and Safety – A Literature Review by Adam Sobiński, Matylda Czerwonka, Zuzanna Kościuszko, Katarzyna Kurza, Silvia Ciraolo, Julianna Podolec, Agnieszka Kulczycka-Rowicka, Katarzyna Lesiczka-Fedoryj, Joanna Wojda, Anna Walczak

“…Basic Results Creatine supplementation significantly improved lean body mass (mean difference = 1.32 kg; p < 0.000001) and muscle strength, with greater effects in men. …”
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Frequency of television viewing and association with overweight and obesity among women of the reproductive age group in Myanmar: results from a nationwide cross-sectional survey by Rajat Das Gupta, Ibrahim Hossain Sajal, Mehedi Hasan, Ipsita Sutradhar, Mohammad Rifat Haider, Malabika Sarker

“…Objectives This study aimed to discern the association between the frequency of television viewing and overweight and obesity among reproductive age women of Myanmar.Design This was a cross-sectional study.Setting This study used Myanmar Demographic and Health Survey (2015–2016) data.Participants Total of 12 021 women both aged 15–49 years and also not pregnant or did not deliver a child within the 2 months prior to the survey were included.Primary and secondary outcome measures The primary outcome was overweight (23.0 kg/m2 to &lt;27.5 kg/m2) and obesity (≥27.5 kg/m2), which was measured using the Asian body mass index cut-off. Ordered logistic regression analysis was conducted to find the association between the explanatory and outcome variables. …”
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