Bariatric surgery and LDL cholesterol (BASALTO) trial study protocol: randomised controlled study evaluating the effect of gastric bypass versus sleeve gastrectomy on high LDL chol... by David Benaiges, Albert Goday, Juana A Flores-Le Roux, Montserrat Fitó, Oscar Pozo, Jose Rodríguez-Morató, Carme Serra, Manuel Pera, Gemma Llauradó, Elisenda Climent, Olga Castañer, Jose M Ramon, Juan Pedro-Botet

“…Inclusion criteria will be patients between 18 and 60 years of age with body mass index ≥40 kg/m2 or ≥35 kg/m2 with significant obesity-related comorbidity and high LDL cholesterol levels. …”
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Faktor-faktor yang Memengaruhi Insiden Miopia Pada Siswa Sekolah Menengah Atas di Kota Padang by Martga Bella Rahimi, Yanwirasti , Kemala Sayuti

“…There are several factors suspected to be related to the incidence of myopia, such as gender, body mass index, close-range activities (with or without screen), distance activities (with or without screen), socioeconomic state, history of myopia in parents, and history of prematurity or low birth weight. …”
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بررسی و مقایسه‌ی بروز عارضه‌ی دهان و حلق در بیماران مبتلا به سرطان پستان تحت پرتودرمانی در دو تکنیک کانونشنال و هایپوفرکشن... by کورش صابر, سیمین همتی, محمد مهدی عزیزی بندرآبادی, سپیده ترابی, احمد شانئی

“…تحلیل داده‌ها حاکی از آن است که متغیرهای بالینی سن، شاخص توده‌ی بدن (Body mass index) BMI و دریافت همزمان شیمی‌درمانی نیز به طور معنی‌داری بر شدت عوارض دهان و حلق در هر دو گروه درمانی تأثیرگذار بوده‌اند (0/05 > P).نتیجه‌گیری: در این مطالعه‌ی بالینی از نظر بروز عارضه نشان داده شد که بیماران تحت پرتودرمانی با تکنیک هایپوفرکشن عارضه‌ی حلق و گلو کمتری نسبت به درمان با تکنیک کانونشنال برخوردارند.…”
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Walking for transport and all-cause mortality: a prospective cohort study of Australian community-dwelling older adults by Rory Wolfe, Neville Owen, Ben Beck, Yang Chen, David W Dunstan, Alice Owen, Robyn L Woods, Danijela Gasevic, Joanne Ryan, Shivangi Shah, Carlene Britt

“…Analyses were adjusted for age, sex, education, smoking, alcohol consumption, living status, rurality, household income, socioeconomic status, chronic conditions, body mass index and overall physical activity levels.Conclusions Engaging in any weekly transport-related walking helps older adults prolong survival. …”
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Concurrent Panniculectomy With Abdominal Wall Reconstruction: A Propensity-scored Matched Study of Quality Improvement Outcomes by Alexis M. Holland, MD, William R. Lorenz, MD, Matthew N. Marturano, MD, Rose K. Hollingsworth, BA, Gregory T. Scarola, MS, Brittany S. Mead, MD, B. Todd Heniford, MD, Vedra A. Augenstein, MD

“…A 1:1 propensity-scored matching was performed based on age, tobacco use, body mass index (BMI), American Society of Anesthesiologists (ASA) score, wound class, and defect size. …”
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Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid by Huibert Burger, Henk van der Worp, Marco H Blanker, Marjolein Y Berger, Anne Martina Maria Loohuis, Nienke Wessels, Janny Dekker, Alec GGA Malmberg

“…Of the 350 screened women, 262 were eligible and randomised to app-based treatment or care as usual; 195 (74%) attended follow-up.Predictors Literature review and expert opinion identified 13 candidate predictors, categorised into two groups: Prognostic factors (independent of treatment type), such as UI severity, postmenopausal state, vaginal births, general physical health status, pelvic floor muscle function and body mass index; and modifiers (dependent on treatment type), such as age, UI type and duration, impact on quality of life, previous physical therapy, recruitment method and educational level.Main outcome measure Primary outcome was symptom severity after a 4-month follow-up period, measured by the International Consultation on Incontinence Questionnaire the Urinary Incontinence Short Form. …”
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Prevalence and Predictors of Self-Reported Sexual Abuse in Severely Obese Patients in a Population-Based Bariatric Program by Danielle L. Gabert, Sumit R. Majumdar, Arya M. Sharma, Christian F. Rueda-Clausen, Scott W. Klarenbach, Daniel W. Birch, Shahzeer Karmali, Linda McCargar, Konrad Fassbender, Raj S. Padwal

“…The mean age was 43.7 y (SD 9.6), 441 (88.2%) were females, 458 (91.8%) were white, and the mean body mass index (BMI) was 47.9 kg/m2 (SD 8.1). The self-reported prevalence of past abuse was 21.8% (95% CI 18.4–25.4%). …”
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Association between daily sitting time and sarcopenia in the US population: a cross-sectional study by Alei Zhang, Yanlei Li, Jinlei Zhou, Yuan Zhang, Shanggao Xie, Haiyu Shao, Tingxiao Zhao, Tao Tang

“…Daily sitting time was assessed through questionnaires, while sarcopenia was measured using body mass index (BMI) adjusted appendicular skeletal muscle mass (ASM). …”
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Sustained Weight Loss with Vagal Nerve Blockade but Not with Sham: 18-Month Results of the ReCharge Trial by Scott A. Shikora, Bruce M. Wolfe, Caroline M. Apovian, Mehran Anvari, David B. Sarwer, Robert D. Gibbons, Sayeed Ikramuddin, Christopher J. Miller, Mark B. Knudson, Katherine S. Tweden, Michael G. Sarr, Charles J. Billington

“…The ReCharge trial is a double-blind, randomized controlled clinical trial of 239 participants with body mass index (BMI) of 40 to 45 kg/m or 35 to 40 kg/m with one or more obesity-related conditions. …”
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Association between cardiovascular health and osteoporotic fractures: a national population-based study by Jun Ou, Tingting Wang, Ridan Lei, Mengting Sun, Xiaorui Ruan, Jianhui Wei, Jiabi Qin

“…CVH was assessed using the LE8 score, which incorporates eight modifiable cardiovascular health metrics: diet, physical activity, tobacco use, sleep, body mass index (BMI), lipid levels, blood glucose, and blood pressure. …”
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Relationship between CCL25/CCR9 Levels in Follicular Fluid and High Ovarian Response in Patients with Polycystic Ovary Syndrome by Yongxin Hao, Qianqian Yin, Fangfang Hu, Xiaoyan Liu, Yaru Yang, Fang Sun, Xiaonan Yan

“…Results. The age and body mass index (BMI) variances across the two groups did not differ significantly. …”
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Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study by Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi

“…The predictive abilities of 58 candidates including fatty liver index (FLI), which is calculated by using body mass index, waist circumference and levels of γ-glutamyl transferase and triglycerides, were investigated by statistics analogous to the area under the curve (AUC) in receiver operating characteristic curve analyses using ML models including logistic regression, random forest, naïve Bayes, extreme gradient boosting and artificial neural network.Results During a 10-year period (mean period: 6.1 years), 2,132 subjects (19.1%) in the training group and 917 subjects (19.1%) in the test group had new onset of hypertension. …”
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Neutrophil-to-lymphocyte, platelet-to-lymphocyte ratios and systemic immune-inflammation index in patients with post-traumatic stress disorder by Gözde Yontar, Elif Aktan Mutlu

“…Patients who smoked more than fifteen cigarettes per day and had a body mass index > 30 were also excluded. SII is calculated as follows; SII = platelet count x neutrophil count / lymphocyte count. …”
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Insulin Sensitivity and Beta-Cell Function Are Associated with Arterial Stiffness in Individuals without Hypertension by Chuchen Meng, Min Sun, Zhixiao Wang, Qi Fu, Mengdie Cao, Zhenxin Zhu, Jia Mao, Yun Shi, Wei Tang, Xiaoping Huang, Yu Duan, Tao Yang

“…We recruited 3137 nondiabetic individuals whose age, body mass index (BMI), glucose levels, blood pressure (BP), lipids, hemoglobin A1C (HbA1c), baPWV, and insulin levels were measured. …”
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Effects of the MyBFF@school program on anthropometry and body composition among overweight and obese adolescent schoolchildren by Nur Zati Iwani Ahmad Kamil, Abdul Halim Mokhtar, Abqariyah Yahya, Fuziah Md. Zain, Rusidah Selamat, Zahari Ishak, Muhammad Yazid Jalaludin

“…The primary outcomes presented in this study were body mass index adjusted for age (BMI z-score), waist circumference (WC), percentage body fat (PBF) and skeletal muscle mass (SMM), measured at baseline, three and six months. …”
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Association between early dietary patterns and cardiometabolic health at age 8: a confirmatory analysis of the European Childhood Obesity Project by Mariona Gispert-Llauradó, Joaquin Escribano, Natalia Ferré, Veit Grote, Berthold Koletzko, Gina Ambrosini, Elvira Verduci, Dariusz Gruszfeld, Annick Xhonneux, Veronica Luque

“…A cross-sectional and prospective analysis was conducted to evaluate the associations between these DPs and cardiometabolic outcomes, including body mass index (BMI), blood pressure (BP), and biochemical markers. …”
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Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19 by Catharine I. Paules, Jacqueline A. Nordwall, Kathryn Shaw-Saliba, Judith A. Aberg, Edward M. Gardner, Anna L. Goodman, N. Kumarasamy, Shikha Vasudeva, David M. Vock, Crystal M. North, Jens Lundgren, Neil R. Aggarwal, for the STRIVE Network and TICO Trial Study Group

“…Persistent and new lymphopenia were associated with older age, male sex; prior immunosuppression, heart failure, aspirin use, and normal body mass index; biomarkers of organ damage (renal and lung), and ineffective immune response (elevated IL-6 and viral nucleocapsid antigen levels). …”
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Prevalence of piriformis syndrome and its associated risk factors among university students in Pakistan: a cross-sectional study by Hassan N Moafa, Nusrat Batool, Naila Azam, Azka Hafeez, Humaira Mehmood, Nimbal Imtiaz, Waqas A Shehzad, Asaad Saleem Malik, Ajiad Alhazmi, Manal Almalki, Almutasim B Moafa, Jobran M Moshi

“…Secondary outcome measures included the severity of PS.Results Of the total, 119 (62.6%) were female, 114 (60.0%) were between 22 and 25 years old, and 125 (65.8%) had standard body mass index. The prevalence of PS was (61.1%), whereas half suffered from severe PS, and the remaining half had mild and moderate PS. …”
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The value of bioimpedance analysis in the assessment of hydration and nutritional status in children on chronic peritoneal dialysis by Wei Yuan, Minghui Yu, Zhiqing Zhang, Qianfan Miao, Jiaojiao Liu, Hui Zhang, Qing Zhou, Jing Chen, Yihui Zhai, Xiaoyan Fang, Hong Xu, Qian Shen

“…Patients with LTI > 12% had significantly higher body mass index (BMI) and BMI z score (BMIz). Canonical correlation analysis indicated a linear relationship (ρ = 0.708) between BIA-BCM hydration and the clinical hydration indicator and a linear relationship (ρ = 0.995) between the BIA-BCM nutritional indicator and the clinical nutritional indicator. …”
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Association between gut microbiota and short-chain fatty acids in children with obesity by Shihan Li, Xinyu Ma, Hong Mei, Xuening Chang, Peiling He, Lingli Sun, Han Xiao, Shiqiong Wang, Ruizhen Li

“…This case–control study recruited children aged 7‒14 years and divided them into a normal group (NG) and an obese group (OG) based on their body mass index. Whole-genome shotgun metagenomic analysis was performed on fecal samples from the OG and NG groups to characterize the signatures and functional potential of the gut microbiota. …”
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