Investigation of parameters affecting throwing velocity and accuracy in handball by Neslihan Akçay, Kerem Can Yıldız, Sezer Tanrıöver, Mehmet Ali Kanı, Mustafa Şakir Akgül, Fatma Neşe Şahin

“…While a negative correlation was found between body weight (r=-0.61), body mass index (r=-0.66), body muscle mass (r=-0.5), body fat mass (r=-0.58), Body fat % (r=0.61), Dominant arm muscle (r=-0.52) parameters and throwing accuracy, a positive correlation was found between dominant hand grip (r=0.59) and dominant arm shoulder internal rotation strength (r=0.59), non-dominant arm shoulder internal rotation strength parameters and throwing velocity (p<0.05). …”
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Effectiveness of a Mixed Martial Arts-Based Training Program in Reducing Obesity and Improving Cardiovascular Health Among Women in Indonesia by Surya Adi Saputra, Septiani Dewi Hamni, Exie Shirley, Helen Knowles

“…Participants underwent comprehensive health screenings, and measurements of Body Mass Index (BMI) and blood pressure were taken before and after the intervention. …”
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Assessment of Nutritional Status, Digestion and Absorption, and Quality of Life in Patients with Locally Advanced Pancreatic Cancer by J. E. Witvliet-van Nierop, C. M. Lochtenberg-Potjes, N. J. Wierdsma, H. J. Scheffer, G. Kazemier, K. Ottens-Oussoren, M. R. Meijerink, M. A. E. de van der Schueren

“…Sixteen patients with LAPC were prospectively assessed for weight loss (WL), body mass index (BMI), fat-free mass index (FFMI), handgrip strength (HGS), dietary macronutrient intake, serum vitamin levels, resting and total energy expenditure (REE and TEE, indirect calorimetry), intestinal absorption capacity and fecal losses (bomb calorimetry), exocrine pancreatic function (fecal elastase-1 (FE1)), and gastrointestinal quality of life (GIQLI). …”
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Obesity phenotypes and dyslipidemia in adults from four African countries: An H3Africa AWI-Gen study. by Engelbert A Nonterah, Godfred Agongo, Nigel J Crowther, Shukri F Mohamed, Lisa K Micklesfield, Palwendé Romuald Boua, Alisha N Wade, Solomon S R Choma, Hermann Sorgho, Isaac Kissiangani, Gershim Asiki, Patrick Ansah, Abraham R Oduro, Shane A Norris, Stephen M Tollman, Frederick J Raal, Marianne Alberts, Michele Ramsay, as members of AWI-Gen and the H3Africa Consortium

“…Age-standardized prevalence and adjusted mean cholesterol, LDL-C, HDL-C, triglycerides and non-HDL-C were estimated using Poisson regression analyses and association of body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WTHR) with abnormal lipid fractions modeled using a random effects meta-analysis. …”
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Laparoscopic Banded One Anastomosis Gastric Bypass: A Single-Center Series by Michela Campanelli, Emanuela Bianciardi, Domenico Benavoli, Giulia Bagaglini, Giorgio Lisi, Paolo Gentileschi

“…Results. 54 Female and 32 male patients were included with a mean age of 43 years (25–64), preoperative body mass index of 42 kg/m2 (35–49), and preoperative weight of 114 kg (86–162). …”
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Global prevalence of obesity in the older adults: A meta-analysis by Ali Asghar Khaleghi, Nader Salari, Niloofar Darvishi, Shadi Bokaee, Samira Jafari, Mahvan Hemmati, Masoud Mohammadi

“…Methods: In this study, systematic review and meta-analysis of study data on the prevalence of obesity in the older adults in the world using keywords including: prevalence, outbreak, Body Mass Index, BMI, obesity, Elderly, aged, older adult, in Science Direct databases, Scopus, PubMed, Web of Science, Iran Doc, Mag Iran, SID and Google Scholar search engine were extracted without time limit until August 2020. …”
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Prevalence of metabolic syndrome with different serum vitamin D levels in middle-aged and older adults by Ya Zhao, Danting Su, Lichun Huang, Mengjie He, Dan Han, Dong Zhao, Yan Zou, Ronghua Zhang

“…After adjusting for age, sex, physical activity level, smoking status, education level, annual per capita household income, and body mass index residuals, the highest tertile (Q3) of vitamin D (odds ratio [OR], 0.779; 95% confidence interval [CI], 0.702–0.865) and vitamin D3 (OR, 0.787; 95% CI, 0.709–0.875) concentrations had a lower risk of MetS than the lowest tertile (Q1). …”
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Associations between White Blood Cell Count and the Development of Incidental Nonalcoholic Fatty Liver Disease by Goh Eun Chung, Jeong Yoon Yim, Donghee Kim, Min-Sun Kwak, Jong In Yang, Su Jin Chung, Sun Young Yang, Joo Sung Kim

“…The prevalence of NAFLD in 2010 increased steadily in conjunction with increasing WBC counts in 2005 after adjustment for body mass index (BMI) [odds ratio (OR) 2.44, 95% confidence interval (CI) = 1.49–4.00 for women and OR 2.42, 95% CI = 1.61–3.63 for men, lowest quartile versus highest quartile]. …”
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Impaired Growth during Childhood in Patients with Primary Ciliary Dyskinesia by Tamara Svobodová, Jana Djakow, Daniela Zemková, Adam Cipra, Petr Pohunek, Jan Lebl

“…We analyzed longitudinal data on body length/height and body mass index (BMI) for 29 children and young adults with PCD aging 1.5–24 years (median, 14.5) who had been diagnosed at the age of 0.5–17 years (median, 8). …”
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Diet quality, psychological factors and their associations with risk factors of cardiovascular disease: a cross-sectional pilot study by Anneli Peolsson, Sanna Nybacka, Mireille Ryden, Per Leanderson

“…Significant predictors of unfavourable Apo B/Apo A1 ratios included low socioeconomic status (SES), higher body mass index, larger waist circumference and smoking. …”
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Severity and Determinants of Anemia in TB/HIV Coinfected Adults at Mekelle, Ethiopia: Hospital Based Retrospective Study by Kebede Embaye Gezae, Kiflom Hagos, Assefa Ayalew Gebreslassie

“…Being female (AOR = 0.380; 95% CI: 0.226–0.640), body mass index (AOR = 0.913; 95% CI: 0.836–0.998) reduces the odds of developing anemia whereas baseline ambulatory functional status (AOR = 2.139; 95% CI: 1.189–3.846), bedridden functional status (AOR = 2.208; 95% CI: 1.002–4.863), HIV clinical stage III (AOR = 2.565; 95% CI: 1.030–6.384), and HIV clinical stage IV (AOR = 2.590; 95% CI: 1.006–6.669) increased the odds of developing anemia for TB/HIV coinfected adults. …”
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Association between obesity and thyroid nodules in children and adults living in iodine-sufficient areas: analysis of cross-sectional data from Tianjin, China by Yang Wang, Fang Li, Dandan Zhang, Wenfeng Li, Yani Duan, Yushan Cui

“…Objective The main purpose of this study was to analyse the association between obesity and thyroid nodules in children and adults living in iodine-sufficient areas in China.Design Analysis of data from two cross-sectional surveys.Setting and participants 921 children from 2016 to 2021 and 1505 adults from 2018 to 2021 living in iodine-sufficient areas from Tianjin, China were recruited.Outcome measures Anthropometric measures including height and weight were taken, and body mass index (BMI) and body surface area (BSA) were calculated. …”
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The relationship between anxiety and cardiometabolic risk factors in adolescents with obesity: propensity scores by Miguel Angel Villasis-Keever, Jessie Nallely Zurita-Cruz, Areli Zulema Pichardo-Estrada, Wendy Alejandra Mazón-Aguirre

“…Patients with anxiety were matched to patients without anxiety using propensity scores based on z-score body mass index (zBMI). Mann–Whitney U tests and χ2 tests were used.ResultsOf the 564 adolescents, 32.6% (n = 184) suffered from anxiety. …”
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META-ANALYSIS: SQUAMOUS CELL CARCINOMA CASES ARISING FROM MORBUS HANSEN IN DR. SITANALA CENTRAL HOSPITAL (2011-2021) by Francisca Victoria, Sweety Pribadi

“…Additionally, a significant number of patients had a normal body mass index (52%) within the range of 20-24.9. Anemia was the main comorbidity observed, affecting 46% of the patients. …”
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Mining hypertension predictors using decision tree: Baseline data of Kharameh cohort study by abbas Rezaianzadeh, Samane Nematolahi, maryam jalali, Shayan Rezaeianzadeh, Masoumeh Ghoddusi Johari, Seyed Vahid Hosseini

“…In the first model (model I), 15 variables including age, gender, body mass index, years of education, Occupation status, marital status, family history of hypertension, physical activity, total energy, number of meals, salt, oil type, drug use, alcohol use and smoke entered in to the model. in the second model (model II) 16 variables including age, gender, BMI and Blood factors as HCT, MCHC, PLT, FBS, BUN, CERAT, TG, CHOL, ALP, HDL, GGT, LDL and SG were considered. a receiver operating characteristic (ROC) curve was applied to assess the validation of the models. …”
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An Analysis of Age-Related Body Composition Changes and Metabolic Patterns in Korean Adults Using FDG-PET/CT Health Screening Data by Chang-Myung Oh, Ji-In Bang, Sang Yoon Lee, Jae Kyung Lee, Jee Won Chai, So Won Oh

“…Results In total, 278 patients were included in the analysis (male:female=140:138). Age and body mass index were positively correlated in female, but negatively correlated in male. …”
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Nutritional status, hemoglobin, and albumin levels in predicting platinum resistance in ovarian cancer at Dr. Saiful Anwar Hospital, Malang, Indonesia by Tatit Nurseta, Ayu Rizky Widowati

“…Nutritional status was assessed through body mass index (BMI), and both hemoglobin and albumin levels were measured pre- and post-chemotherapy to investigate potential differences between the groups. …”
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Comparison of clinician- and patient-reported outcome measures in 95 abdominoplasty cases using BODY-Q and MCCRO-Q by Samuel Thomas Kitching, Claudia Rocco, Rachel Harwood, Gary Ross

“…Clinicians reported worse outcomes in patients with body mass index >30 kg/m2 or patients who had >1000 g of excess fat tissue removed (p=0.005; p=0.017). …”
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Overweight, Obesity, and Neighborhood Characteristics among Postpartum Latinas by Colleen Keller, Michael Todd, Barbara Ainsworth, Kathryn Records, Sonia Vega-Lopez, Paska Permana, Dean Coonrod, Allison Nagle Williams

“…Results. The mean body mass index was 29.68 with 38.56% bioelectrical impedence analysis for body fat. …”
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Co-occurrence of behavioural risk factors for non-communicable diseases and mortality risk in Spain: a population-based cohort study by Iñaki Galán, Cristina Ortiz, Carmen Rodriguez-Blazquez, Teresa López-Cuadrado, Ana Ayuso-Álvarez

“…Risk factors included tobacco use, high-risk alcohol consumption, low adherence to the Mediterranean diet, leisure time sedentary lifestyle and body mass index outside the 18.5–24.9 kg/m2 range. Deaths from any cause (n=2784), from diseases of the circulatory system (n=678) and from tumours (n=869) were identified. …”
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