Monitoring for 5-aminosalicylate nephrotoxicity in adults with inflammatory bowel disease: prognostic model development and validation using data from the Clinical Practice Researc... by Abhishek Abhishek, Richard D Riley, Christian D Mallen, Guruprasad P Aithal, Georgina Nakafero, Matthew J Grainge, Maarten W Taal, Tim Card, Matthew D Stevenson

“…Nine predictors were included in the final model, including chronic kidney disease stage 3 and hazardous alcohol use as strong predictors. Age and Body Mass Index were weak predictors. The optimism-adjusted calibration slope, C and D statistics in the development and validation data were 0.90, 0.64 and 0.98, and 1.01, 0.66 and 0.94 respectively.Conclusion This prognostic model used information from routine clinical care and performed well in an independent validation cohort. …”
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Association of Visceral Adipose Tissue With Hypertension: Results From the NHANES 2011–2018 and Mendelian Randomization Analyses by Jia Liao, Miaohan Qiu, Jing Li, Yi Li, Yaling Han

“…Furthermore, VAT mass exhibited greater accuracy than body mass index (BMI) in predicting hypertension (areas under the curve [AUC]: 0.701 vs. 0.676, p for comparison < 0.001). …”
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Matching-Adjusted Indirect Comparison of the Efficacy at Week 32 of Tralokinumab and Dupilumab in the Treatment of Moderate-to-Severe Atopic Dermatitis by Tiago Torres, Anne Sohrt Petersen, Ulla Ivens, Albert Bosch Vilaro, John Stinson, José Manuel Carrascosa

“…IPD were selected by applying inclusion criteria from LIBERTY AD CHRONOS and weighting to match summary baseline characteristics—age, sex, race, body mass index, disease duration, Eczema Area and Severity Index (EASI), Investigator’s Global Assessment (IGA), Dermatology Life Quality Index (DLQI) and SCORing Atopic Dermatitis index—of patients treated with dupilumab. …”
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Mitotane-Induced Hyperlipidemia: A Retrospective Cohort Study by Hassan Shawa, Ferhat Deniz, Hadil Bazerbashi, Mike Hernandez, Rena Vassilopoulou-Sellin, Camilo Jimenez, Mouhammed Amir Habra

“…HDL-P positively correlated with mitotane concentration (r=0.52,P<0.001), while LDL-P levels and Tg-P did not. Gender, body mass index, cortisol overproduction, baseline levels of HDL-c, and triglyceride did not predict change in HDL-c. …”
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Risk factors and prevention strategy for patient dissatisfaction after transforaminal lumbar interbody fusion: a single-center retrospective study by Lixin Yang, Zhao Guo, Yuhao Qiao, Jichao Guo, Jiaqi Li, Wei Wang

“…Univariate analysis showed that body mass index (BMI), preoperative pain time, postoperative visual analog scale (VAS)-back, intraoperative bleeding volume, postoperative rehabilitation training, feel depression and symptom recurrence were related with patient's level of satisfaction 2 years after discectomy. …”
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Protective Role of Picralima nitida Seed Extract in High-Fat High-Fructose-Fed Rats by Opeyemi Christianah De Campos, Daniel Ikpomwosa Osaigbovo, Titilayo Ifeoluwa Bisi-Adeniyi, Franklyn Nonso Iheagwam, Solomon Oladapo Rotimi, Shalom Nwodo Chinedu

“…APN caused a significant decrease (P<0.05) in weight gained, body mass index, insulin resistance, plasma glucose, and insulin levels. …”
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Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals by Wenna Liu, Shutong Wang, Hanyang Gu, Rong Li

“…Variables assessed included age, sex, body mass index (BMI), fasting blood glucose, glycated hemoglobin (HbA1c), blood lipids, blood pressure, heart rate, and histories of smoking and alcohol consumption. …”
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Differences in clinical characteristics between coronavirus disease 2019 (COVID-19) and influenza: a systematic review and meta-analysis by Yingying Han, Jia Guo, Xingzhao Li, Zhuan Zhong

“…Compared to influenza, COVID-19 was more common among men (OR = 1.46, 95% CI: 1.23–1.74) and people with a higher body mass index (MD = 1.43, 95% CI: 1.09–1.77). The proportion of current smokers among COVID-19 patients was lower than that among influenza patients (OR = 0.25, 95% CI: 0.18–0.33). …”
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Association between Sensitivity to Thyroid Hormone Indices and Bone Mineral Density in US Males by Shuai Chen, Wucui Huang, Guowei Zhou, Xiaohe Sun, Jie Jin, Zhiwei Li

“…In the subgroup analyses stratified by body mass index (BMI), the significant negative correlation between TFQI and lumbar BMD remained in the male participants with BMI between 18.5 and 24.9 kg/m2. …”
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The Relationship Between Insufficient Sleep and Depressive Symptoms in Chinese Adolescents: A National Survey of Contributing Factors by Yan C, Zheng W, Du Y, Li Y, Wang M, Qu M

“…Among adolescents with insufficient sleep, additional risk factors included higher body mass index (BMI), older age, parental divorce, and living with a single parent (P < 0.05).Conclusion: Insufficient sleep is significantly associated with depressive symptoms in Chinese adolescents. …”
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Assessment of adverse pregnancy outcomes associated with Helicobacter pylori infection by Shao-Jing Wang, Chia-Jung Hsieh, Yun-Han Su, Li-Ling Lin, Wei-Chih Chen, Hsin-Hua Chen, Jenn-Jhy Tseng

“…A 1:1 propensity score matching (PSM) was performed with covariates including age, race, pre-pregnancy body mass index, history of diabetes, presence of gastroesophageal reflux disease nausea, and vomiting. …”
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A Cross-Sectional Trait Versus State Biomarker Analysis of Inflammatory Cytokines and miRNAs in Patients with Major Depressive Disorder by Christopher Rockson, Chandrashekaran Girish, Harivenkatesh Natarajan, Vikas Menon

“…Methods: Using a cross-sectional design, we recruited patients with MDD, their FDRs and age, gender, body mass index-matched UHCs. Serum levels of IL-6, IL-1β, TNF-α, hs-CRP, and IL-10 were evaluated using the Enzyme-Linked Immunosorbent Assay (ELISA) method. …”
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Youthful Choices: A Secondary Analysis of the NFHS-5 Data to Examine Tobacco Use in Indian Adolescent Girls and Young Women by Jobinse Jose, Aditi Chaudhary, Abhishek Ghosh, Sonu Goel

“…Independent variables include demographics, religion, caste, region, education, occupation, body mass index, wealth index, alcohol consumption, and media exposure. …”
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The Characteristics of Diverticular Disease in Caribbean Population: A Control Group Study by Moana Gelu-Simeon, Matthieu Schnee, Marie-Josée Lafrance, Pauline Plazy-Chabrand, Anne-Sophie Schneck, Georgette Saint-Georges, Marceline Alexis, Stéphanie Delumeau, Philippe Montigny, Roger Faroux, Jérome Dimet, Eric Saillard

“…AC and E had similar characteristics in terms of age, gender, previous history of LGIH, body mass index, dietary habits, and medications, but AC had significantly poorer hemodynamic parameters at admission and required more blood transfusions (66.7% vs. 42.5%; p=0.01) during hospitalization. …”
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Relationship between Body Roundness Index and Risk of Type 2 Diabetes in Japanese Men and Women: A Reanalysis of a Cohort Study by Wei Zhao, Jingjing Tong, Jinghua Li, Yongtong Cao

“…Receiver operating characteristic curves were used to evaluate and compare the predictive values of BRI, body mass index (BMI), and waist circumference (WC) for T2DM. …”
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Individual versus group exercise effect on youth physical activity levels: a randomised controlled trial by Rockli Kim, S V Subramanian, Dario Novak, Marko Čule, Jinseo Kim

“…Objectives To explore the effects of two different types of exercise (individual vs group) on physical activity (PA) among Croatian university students.Methods A total of 976 university students between the ages of 19 and 20 years (age 19.4±1.1 years, body mass index 21.9±2.9 kg/m2) were randomly assigned to either the control group (individual exercise) (n=504) or the intervention group, which received group exercise (n=472). …”
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Characteristics of cardiopulmonary exercise capacity in adults with different degrees of obesity by Shukun Deng, Shengrui Mei, Qunyan Zhou, Wenjun Zhi, Wenjun Wu, Junyan Cai, Peng Yuan

“…They were categorized into five groups based on their body mass index (BMI): the control group (18.5 ≤ BMI &lt; 24 kg/m2, n = 28), the overweight group (24.0 ≤ BMI &lt; 28 kg/m2, n = 48), the mild obesity group (28 ≤ BMI &lt; 35 kg/m2, n = 75), the moderate obesity group (35.0 ≤ BMI &lt; 40 kg/m2, n = 47), and the severe obesity group (BMI ≥ 40 kg/m2, n = 33). …”
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Robotic-assisted left thoracic small-incision minimally invasive coronary artery bypass grafting: a case series report by HE Peiling, SONG Yi, YUAN Ye

“…Results‍　‍There were 23 patients subjected， including 21 males and 2 females， with a mean age of 58.17±7.49 years， and a body mass index （BMI） of 23.99±3.25 kg/m2. All of them experienced angina pectoris， and 1 had a history of myocardial infarction， 1 had dilated cardiomyopathy， 2 patients had chronic obstructive pulmonary disease （COPD）， and 10 had a history of percutaneous coronary intervention （PCI）. …”
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Validation of a tele-robotic ultrasound system for abdomen and thyroid gland explorations: a comparison with standard ultrasound by Andreu Antolin, Nuria Roson, Marina Planes, Mar Castillo, Anna Alberti, Manuel Escobar

“…The mean age was 45.23 ± 18.90 years old, and the body mass index of the abdominal cohort was 22.97 ± 2.95 kg/m2. …”
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Relationship between multiple morbidities and performance on the Timed Up and Go test in elderly patients: a cross-sectional study by Arsalan Tariq, Sayed Alireza Mousavi Zadeh, Muhammad Ammar, Nafisehsadat Mousavizadeh, Arash Hajary, Somayeh Mohamadi

“…All analyses were performed using SPSS software.Results A total of 160 participants (mean age: 67.2±6.9 years and body mass index (BMI): 28.7±4.9 kg/m²) were included. …”
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