Beta-hydroxy-beta-methyl butyrate supplementation in critically ill patients: a systematic review and meta-analysis of randomized controlled trials by Yu Ren, Ya-Bei Gao, Da-Xing Yu, Hui-Bin Huang

“…In addition, HMB did not affect changes in body weight (P = 0.53), body mass index (P = 0.56), or quadriceps thickness (P = 0.74). …”
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The Effect of Diacerein on Type 2 Diabetic Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials with Trial Sequential Analysis by Shizhe Guo, Xianshan Guo, Hongya Zhang, Xuan’e Zhang, Zhen Li

“…Secondary outcomes were glycosylated hemoglobin A1c (HbA1c), body mass index (BMI), lipid profiles, hematological indexes including hematocrit and platelet count, and systematic inflammatory level expressed as a C-reactive protein (CRP) level. …”
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Prevalence of Prediabetes, Diabetes, and Its Associated Risk Factors among Males in Saudi Arabia: A Population-Based Survey by Khaled K. Aldossari, Abdulrahman Aldiab, Jamaan M. Al-Zahrani, Sameer H. Al-Ghamdi, Mohammed Abdelrazik, Mohammed Ali Batais, Sundas Javad, Shanila Nooruddin, Hira Abdul Razzak, Ashraf El-Metwally

“…The participants included 381 diabetic males with a median age of 45 years, average body mass index of 25 ± 40 kg/m2, whereas waist circumferences ranged from 66 to 180 cm in the male study population. …”
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Outcome of Liposuction for Limb Lymphedema in Men Compared with Women by Helen Mackie, Belinda M. Thompson, Robyn Ricketts, Kim Toyer, Asha Heydon-White, Louise A. Koelmeyer, Thomas C. Lam

“…Individuals were secondarily matched for age, body mass index, and lymphedema duration. The volume of fat aspirated was compared to preoperative Vol Diff to calculate a percentage (%) aspirate volume. …”
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Prevalence of childhood overweight and obesity in Malaysia: a systematic review and meta-analysis by Ker Yang Chua, Ker Yung Chua, Karuthan Chinna, Chooi Ling Lim, Maheeka Seneviwickrama

“…Future studies of the prevalence of childhood excess weight should follow a standardized reference for body mass index by age to ease interstudy comparisons.…”
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Performance of Noninvasive Indices for Discrimination of Metabolic Dysfunction-Associated Steatotic Liver Disease in Young Adults by Jaejun Lee, Chang In Han, Dong Yeup Lee, Pil Soo Sung, Si Hyun Bae, Hyun Yang

“…Regarding the predictive performance, the hepatic steatosis index (HSI), fatty liver index (FLI), Framingham steatosis index, Dallas steatosis index, Zhejiang University index, lipid accumulation product, visceral adiposity index, and triglyceride glucose-body mass index exhibited an area under the curve of 0.898, 0.907, 0.899, 0.893, 0.915, 0.869, 0.791, and 0.898, respectively. …”
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Development and validation of a prediction model for all-cause mortality in maintenance dialysis patients: a multicenter retrospective cohort study by Jingcan Wu, Xuehong Li, Hong Zhang, Lin Lin, Man Li, Gangyi Chen, Cheng Wang

“…The discrimination and accuracy of the prediction model were assessed using C-indexes and calibration curves, while the clinical value was assessed by decision curve analysis (DCA).Results The best predictors of 1-, 3-, and 5-year all-cause mortality contained nine independent factors, including age, body mass index (BMI), diabetes mellitus (DM), cardiovascular disease (CVD), cancer, urine volume, hemoglobin (HGB), albumin (ALB), and pleural effusion (PE). …”
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The ANGPTL8 rs2278426 (C/T) Polymorphism Is Associated with Prediabetes and Type 2 Diabetes in a Han Chinese Population in Hebei Province by Guangsen Hou, Yong Tang, Luping Ren, Yunpeng Guan, Xiaoyu Hou, Guangyao Song

“…The logistic regression technique was adjusted for age, sex, and body mass index. Results. The frequency of the TT (10.9%) genotype was significantly higher in pre-DM patients than in controls (odds ratio [OR] = 1.696, 95% confidence interval [CI] = 1.026–2.802, P=0.039). …”
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Effects of Cranberry Extract (Vaccinium macrocarpon) Supplementation on Lipid Peroxidation and Inflammation in Patients with Chronic Kidney Disease (Stages 3-4): A Randomized Contr... by Laís de Souza Gouveia Moreira, Karla Thaís Resende Teixeira, Ludmila F. M. F. Cardozo, Livia Alvarenga, Bruna Regis, Jessyca Sousa de Brito, Viviane de Oliveira Leal, Natalia Alvarenga Borges, Isabela de Souza da Costa Brum, José Carlos Carraro-Eduardo, Giovanna B. Borini, Andresa A. Berretta, Marcelo Ribeiro-Alves, Denise Mafra

“…Twenty-five patients completed the study: 12 in the cranberry group (56.7 ± 7.5 years and body mass index (BMI) of 29.6 ± 5.5 kg/m2) and 13 in the placebo group (58.8 ± 5.1 years and BMI 29.8 ± 5.4 kg/m2). …”
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Comparison of Endocrine Profile and In Vitro Fertilization Outcome in Patients with PCOS, Ovulatory PCO, or Normal Ovaries by Yi-Ping Zhong, Ying Ying, Hai-Tao Wu, Can-Quan Zhou, Yan-Wen Xu, Qiong Wang, Jie Li, Xiao-Ting Shen, Jin Li

“…The basic clinical features and in vitro fertilization and embryo transfer outcome in patients receiving IVF or intracytoplasmic sperm injection (ICSI) were retrospectively analyzed. Results. The body mass index, basal luteinizing hormone, and testosterone levels were significantly lower in patients with ovulatory PCO compared to those in patients with PCOS. …”
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Predictors of self-reported hypertension among women of reproductive age in North Dakota by Corey A. Day, Grace Njau, Matthew Schmidt, Agricola Odoi

“…Results The odds of hypertension were significantly higher among women of reproductive age who reported frequent mental distress (odds ratio [OR] = 2.0, 95% confidence interval [CI] = 1.3–3.3), resided in a primary care health professional shortage area (OR = 1.8, 95% CI = 1.2–2.6), were obese (OR = 2.6, 95% CI = 1.7–4.1) and were 35–44 years old (OR = 2.3, 95% CI = 1.6–3.4), relative to their counterparts who did not have frequent mental distress, did not reside in a health professional shortage area, had a normal body mass index, and were 18–34 years old, respectively. …”
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Exploring associations of financial well-being with health behaviours and physical and mental health: a cross-sectional study among US adults by Kai McKeever Bullard, Carla Mercado, Michele L F Bolduc, Desmond Banks, Courtni Andrews, Zoe R F Freggens, Rashid Njai

“…FWB associations with health service visits, biometric screenings, smoking status, body mass index and physical and mental conditions were tested using age-adjusted, sex-adjusted and health insurance coverage-adjusted linear regression analysis.Results In 2019, the mean FWB for US adults was 56.1 (range 14 (worse) to 95 (best)). …”
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Association of patellofemoral osteoarthritis on patient-reported outcomes after medial unicompartmental knee arthroplasty: a retrospective cohort study by Jonathan Winther Olsen, Christian Bredgaard Jensen, Kristine Ifigenia Bunyoz, Anders Flygenring Bagge, Kirill Gromov, Anders Troelsen

“…PROM changes were compared using linear regression models adjusted for sex, age, body mass index, and preoperative PROM score. Results: We found no significant differences in OKS, FJS, and APQ change when comparing group 3–4 with group 0 at any follow-up. …”
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Associations between Overall and Abdominal Obesity and Suicidal Ideation among US Adult Women by Guixiang Zhao, Chaoyang Li, Earl S. Ford, James Tsai, Satvinder S. Dhingra, Janet B. Croft, Lela R. McKnight-Eily, Lina S. Balluz

“…This study examined associations of obesity indicators including body mass index (BMI), waist circumference, and waist-height ratio with suicidal ideation among U.S. women. …”
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Normalized Isometric Shoulder Strength as a Predictor of Ball Velocity in Youth Baseball Players by Amanda J Arnold, Charles A Thigpen, Paul F Beattie, Stacy L Fritz, Michael J Kissenberth, John M Tokish, Ellen Shanley

“…Repeated measures ANOVA were conducted comparing changes in normalized strength using five separate anthropometric measures: weight, height, body mass index, ulnar length and % of non-dominant shoulder strength. …”
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The Upregulation of COX2 in Human Degenerated Nucleus Pulposus: The Association of Inflammation with Intervertebral Disc Degeneration by Chang Liu, Guoyan Liang, Zhantao Deng, Jing Tan, Qiujian Zheng, Feng-Juan Lyu

“…We recorded baseline information about age, gender, body mass index (BMI), diabetes history, smoking history, and magnetic resonance imaging (MRI). …”
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Health utility value of overactive bladder in Japanese older adults by Takashi Yoshioka, Kenji Omae, Satoshi Funada, Tetsuji Minami, Rei Goto

“…We selected eight covariates (age, sex, body mass index, education, income, smoking, alcohol use, and comorbidities) as potential confounders based on previous studies. …”
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Demographic Associations of Diabetes Status by Both Fasting Plasma Glucose Concentration and Glycated Hemoglobin in a Community Survey in Galle District, Sri Lanka by Keddagoda Gamage Piyumi Wasana, Anoja Priyadarshani Attanayake, Thilak Priyantha Weerarathna, Kamani Ayoma Perera Wijewardana Jayatilaka

“…Of the 147 study subjects, 38.1% were males, 61.9% were females, and 63.3% had a family history of diabetes among first-degree relatives (FDR). Mean age, body mass index (BMI), waist circumference (WC), FPG, and HbA1C of the participants were 48.4 ± 7.2 years, 25.1 ± 4.0 kg/m2, 88.8 ± 9.0 cm, 139.4 ± 30.1 mg/dL, and 6.4 ± 0.7%, respectively. …”
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Social media-based Health Education plus Exercise Program (SHEEP) to improve muscle function among young-old adults with possible sarcopenia in the community: A feasibility study p... by Ya Shi, Emma Stanmore, Lisa McGarrigle, Chris Todd

“…The secondary outcome is to compare standard measures for muscle function (e.g. handgrip strength, skeletal muscle mass, physical performance), body composition (e.g. body fat, body mass index, bone mineral), and other measures (e.g. perceived knowledge, personal motivation, behavioral skills). …”
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Higher Levels of Postoperative Mobility and Activity as Measured by the AM-PAC 6 Clicks Instrument Are Associated with Improved Outcomes after Lumbar Fusion by Parimal Rana, Jane C. Brennan, Andrea H. Johnson, Justin J. Turcotte, Chad M. Patton

“…Results: After controlling for age, body mass index, sex, race, number of levels, and preoperative PROMIS-PF, higher 6-Clicks mobility scores decreased the likelihood of 3+ day LOS (OR: 0.72; p=0.010), non-home discharge (OR: 0.68; p<0.001), and 30-day ED return (OR: 0.78; p=0.022) and increased the likelihood of PROMIS MCID achievement (OR: 1.28; p=0.004). …”
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