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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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 <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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Coffee, including caffeinated and decaffeinated coffee, and the risk of hepatocellular carcinoma: a systematic review and dose–response meta-analysis by Paul Roderick, Peter Clive Hayes, Julie Parkes, Ryan Buchanan, Oliver John Kennedy, Jonathan Andrew Fallowfield

“…There was evidence that the association was not significantly altered by stage of liver disease or the presence/absence of high alcohol consumption, high body mass index, type 2 diabetes mellitus, smoking, or hepatitis B and C viruses. …”
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High Body Roundness Index Is Associated With Unhealthy Sleep Patterns: Insights From NHANES (2007–2014) by Pingchuan Liu, Yuding Luo, Xing He, Jiali Zhang, Fanzhou Ren, Bingyang Zhang, Bo Zheng, Jian Wang

“…Receiver operating characteristic (ROC) analysis was used to compare the diagnostic performance of BRI and body mass index (BMI) in identifying unhealthy sleep patterns. …”
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The Role of Probiotics in Managing Glucose Homeostasis in Adults with Prediabetes: A Systematic Review and Meta-Analysis by Chao Sun, Qingyin Liu, Xiaona Ye, Ronghua Li, Miaomiao Meng, Xingjun Han

“…However, no significant difference was observed in fasting blood glucose, insulin, total cholesterol, triglycerides, low-density lipoprotein cholesterol, interleukin-6, tumor necrosis factor-α, and body mass index. Subgroup analyses showed that probiotics significantly reduced HbA1c in adults with prediabetes in Oceania, intervention duration of ≥3 months, and sample size <30. …”
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Diagnoses of postpartum urinary retention using next-generation non-piezo ultrasound technology: assessing the accuracy and benefits by Ruben Plöger, Charlotte Behning, Adeline Walter, Ulrich Gembruch, Brigitte Strizek, Florian Recker

“…Intraclass correlation coefficients, Bland-Altman plots, and Pearson correlation coefficients were used for analyzing the reliability and agreement between the measurements of these devices and were calculated for subgroups as body mass index, mode of delivery and timepoint of delivery. …”
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Obesity prevalence among healthcare professionals in England: a cross-sectional study using the Health Survey for England by Richard G Kyle, Jane Wills, Catherine Mahoney, Louise Hoyle, Muireann Kelly, Iain M Atherton

“…Objective To estimate obesity prevalence among healthcare professionals in England and compare prevalence with those working outside of the health services.Design Cross-sectional study based on data from 5 years (2008–2012) of the nationally representative Health Survey for England.Setting England.Participants 20 103 adults aged 17–65 years indicating they were economically active at the time of survey classified into four occupational groups: nurses (n=422), other healthcare professionals (n=412), unregistered care workers (n=736) and individuals employed in non-health-related occupations (n=18 533).Outcome measure Prevalence of obesity defined as body mass index ≥30.0 with 95% CIs and weighted to reflect the population.Results Obesity prevalence was high across all occupational groups including: among nurses (25.1%, 95% CI 20.9% to 29.4%); other healthcare professionals (14.4%, 95% CI 11.0% to 17.8%); non-health-related occupations (23.5%, 95% CI 22.9% to 24.1%); and unregistered care workers who had the highest prevalence of obesity (31.9%, 95% CI 28.4% to 35.3%). …”
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Modifiable Risk Factors for Stroke in Syria: A Nationwide Multi-centre Case-Control Study by Mhd Mustafa Albitar, Subhia Maya, Khaled Kalalib Al Ashabia, Ghassan Hamzeh, Ameer Kakaje

“…IS was significantly associated with multiple chronic conditions including atrial fibrillation AF [AOR 5.04 (2.64–9.62)], high body mass index (overweight [AOR 2.09 (1.28–3.40)], obesity [AOR 4.17 (2.32–7.50)]), hypercholesterolemia [AOR 2.10 (1.34–3.28], hypertension HTN [AOR 1.83 (1.23–2.73)], and diabetes mellitus DM [AOR 1.79 (1.18–2.71)]. …”
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A Novel Oxidative Stress Mediator in Acute Appendicitis: Thiol/Disulphide Homeostasis by Sefa Ozyazici, Faruk Karateke, Umit Turan, Adnan Kuvvetli, Huseyin Kilavuz, Burak Karakaya, Pınar Ozaltun, Murat Alısık, Ozcan Erel

“…In this study, seventy-one (43 male and 28 female) patients diagnosed with AA and 71 (30 male and 41 female) healthy volunteers were included. Age, gender, body mass index (BMI), haemoglobin (Hb), white blood cell (WBC), c-reactive protein (CRP), and thiol/disulphide homeostasis parameters (native thiol, total thiol, disulphide, disulphide/native thiol, native thiol/total thiol, and disulphide/total thiol ratios) were compared between the groups. …”
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Risk Factor Analysis in Vascular Access Complications for Hemodialysis Patients by Cristian Dan Roşu, Sorin Lucian Bolintineanu, Bogdan Florin Căpăstraru, Roxana Iacob, Emil Robert Stoicescu, Claudia Elena Petrea

“…Demographic data, comorbidities, and lifestyle factors, including age, gender, body mass index (BMI), smoking status, hypertension, diabetes, and cardiovascular disease (CVD), were recorded and analyzed. …”
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Impact of Different Metabolic Indicators on Ventricular Repolarization Indices in Obese Children: A Case Control Study by Asmaa A El Sehmawy, Rasha Abd El Samad Fawaz, Nadia Ahmed Agiba, Eman Aziz Elsherbiny, Nglaa Fathi Agaba, Doaa Sayed Mohammed, Haidy Mahmoud Nasr, Fatma Elzhraa AE Diab, Amal M Ahmed, Shorouk Issa Mahfouz, Heba T Okda, Doaa Sadek Ahmed

“…A significant positive correlation was detected between QTc and JTc dispersion and the following variables: waist circumference, body mass index (BMI), blood pressure, fasting insulin, HOMA-IR index, and LDL. …”
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Clinical characteristics of hospitalized male adolescents and young adults with avoidant/restrictive food intake disorder (ARFID) by Jason M. Nagata, Anita V. Chaphekar, Patrick Low, Ruben Vargas, Kyle T. Ganson, Anthony Nguyen, Sara M. Buckelew, Andrea K. Garber, Amanda E. Downey

“…Compared to all youth with AN, youth with ARFID had lower body mass index (BMI, 15.7 vs. 17.0 kg/m2, p = .001) and lower vitamin D (26.5 vs. 33.0 ng/mL, p = .003). …”
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Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study by Yanfei Chen, Bing Wang, Yankai Shi, Wenhao Qi, Shihua Cao, Bingsheng Wang, Ruihan Xie, Jiani Yao, Xiajing Lou, Chaoqun Dong, Xiaohong Zhu, Danni He

“…An oversampling method was applied to balance the data set.Interventions This study has no interventions.Participants The study included 2379 participants, of whom 507 were diagnosed with AD.Primary and secondary outcome measures Including accuracy, precision, recall, F1 score, etc.Results 11 variables were critical in the training phase, including educational level, depression, insomnia, age, Body Mass Index (BMI), medication count, gender, stenting, systolic blood pressure (sbp), neurosis and rapid eye movement. …”
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Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents by Carla Moreira, Rute Santos, Susana Vale, Paula C. Santos, Sandra Abreu, Ana I. Marques, Luísa Soares-Miranda, Jorge Mota

“…This study aimed to evaluate the screening performance of different measures of adiposity: body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) for high metabolic risk in a sample of adolescents. …”
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Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…Result After feature selection analysis and assessing multicollinearity, six factors (Mid-arm Circumference (MAC), Waist Circumference (WC), Body Roundness Index (BRI), Body Adiposity Index (BAI), Body Mass Index (BMI), age) were used in the final model. …”
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Evaluation of placental growth factor, Vitamin D, and systemic inflammatory index as predictive biomarkers for preeclampsia severity: a retrospective cohort study by Xiaoyan Han, Hua Yang

“…The regression models adjusted for potential confounders, including maternal age, body mass index (BMI), and parity. Results In the training cohort, significant differences were observed among control, mild, and severe preeclampsia groups, with severe cases showing elevated PIV (515.8 ± 126.7) and reduced levels of PlGF (12.5 ± 5.8 pg/mL) and Vitamin D (8.4 ± 1.9 ng/mL) compared to controls (P < 0.001). …”
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Association between neutrophil-to-high-density lipoprotein cholesterol ratio and non-alcoholic fatty liver disease or metabolic dysfunction-associated steatotic liver disease: evid... by Na Zhu, Yanyan Li, Yingying Lin, XinYu Cui, Xin Li, Xin Li

“…Additionally, we performed stratified analyses based on gender, age, body mass index, diabetes, hypertension, smoking status, and history of cardiovascular disease to evaluate the consistency of these associations across different subgroups.ResultsA total of 6,526 participants were included in the study. 2,839 (weighted 44.1%) participants were diagnosed with NAFLD and 2,813 (weighted 43.7%) participants were diagnosed with MASLD. …”
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Sodium-Glucose Cotransporter-2 (SGLT-2) Attenuates Serum Uric Acid (SUA) Level in Patients with Type 2 Diabetes by Mazhar Hussain, Asim Elahi, Abid Hussain, Javed Iqbal, Lubna Akhtar, Abdul Majid

“…The changes in SUA level were primary end points while changes in body weight and body mass index (BMI) from baseline to end point were secondary end points. …”
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Evidence for a Specific Diabetic Cardiomyopathy: An Observational Retrospective Echocardiographic Study in 656 Asymptomatic Type 2 Diabetic Patients by Isabelle Pham, Emmanuel Cosson, Minh Tuan Nguyen, Isabela Banu, Isabelle Genevois, Patricia Poignard, Paul Valensi

“…SMI was independently associated with hypokinesia (odds ratio 14.7 [2.7–81.7], p<0.01) and systolic dysfunction (OR 114.6 [1.7–7907], p<0.01), while HbA1c (OR 1.9 [1.1–3.2], p<0.05) and body mass index (OR 1.6 [1.1–2.4], p<0.05) were associated with systolic dysfunction. …”
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