Global, regional, and national burden of very early-onset colorectal cancer and its risk factors from 1990 to 2019: A systematic analysis for the global burden of disease study 201... by Zhen Junhai, Meng Yang, Tan Zongbiao, Yan Wenxuan, Li Tiange, Wu Yanrui, Liu Chuan, Dong Weiguo

“…Diet low in milk, diet low in calcium, alcohol use, and high body-mass index were the main contributors to deaths and DALYs. …”
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Serum Ferritin Levels in Pregnancy and Their Association with Gestational Diabetes Mellitus: A Prospective Longitudinal Study by Qin Z, Du Y, Wang Z, Qin X, Wu H, Yu X, Zhao C, Mo L, Huang B

“…The explanatory variables that contributed to increased glucose levels were SF, MDA, body mass index (BMI), maternal age, and family history of diabetes.Conclusion: SF is significantly associated with GDM and may be a potential biomarker for GDM in early pregnancy.Keywords: gestational diabetes mellitus, ferritin, oxidative stress, inflammation…”
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Prevalence of Hypertension and Its Associated Risk Factors among 34,111 HAART Naïve HIV-Infected Adults in Dar es Salaam, Tanzania by Marina Njelekela, Alfa Muhihi, Akum Aveika, Donna Spiegelman, Claudia Hawkins, Catharina Armstrong, Enju Liu, James Okuma, Guerino Chalamila, Sylvia Kaaya, Ferdinand Mugusi, Wafaie Fawzi

“…Overweight and obesity were defined as body mass index (BMI) between 25.0–29.9 kg/m2 and ≥30 kg/m2, respectively. …”
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Prevalence of Diabetes and Cardiovascular Comorbidity in the Canadian Community Health Survey 20022003 by Frank Mo, Lisa M. Pogany, Felix C.K. Li, Howard Morrison

“…It also estimated the strength of association between diabetes, heart disease, hypertension, and other factors such as age, gender, cigarette smoking, alcohol drinking, education status, body mass index (BMI), and other socioeconomic factors. …”
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Sleep-Aiding Effect of Casein-Derived Peptide TPTLN and Its Underlying Mechanism by DENG Shijie, LIU Ling, HUANG Ju, FENG Fengqin, ZHAO Minjie, DU Juan

“…Methods: Thirty mice were divided equally into three groups, an experimental, a positive control and a blank control group, which were gavaged with TPTLN at a dose of 5 mg/kg mb, intraperitoneally injected with diazepam at a dose of 1 mg/kg mb, and gavaged with sterilized water at a dose of 5 mg/kg mb, respectively. The body mass of all the mice was recorded every day. After 7 days of continuous administration, a sodium pentobarbital-induced sleep test was carried out to evaluate sleep quality. …”
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Circulating Levels of Betatrophin and Irisin Are Not Associated with Pancreatic β-Cell Function in Previously Diagnosed Type 2 Diabetes Mellitus Patients by Lingshu Wang, Jun Song, Chuan Wang, Peng Lin, Kai Liang, Yu Sun, Tianyi He, Wenjuan Li, Ruxing Zhao, Jun Qin, Yiran Lu, Jinbo Liu, Fuqiang Liu, Xinguo Hou, Li Chen

“…In total, 20 age-, sex-, and body mass index- (BMI-) matched normal glucose tolerance (NGT) subjects and 120 previously diagnosed T2DM patients were included in this study. …”
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Maximal strength, sprint and jump performance in elite kumite karatekas by Fahri Safa Cinarli, Onur Aydogdu, Yalcin Aydin, Gürkan Tokgöz, Abdulselam Kahraman, Ayşegül Beykumül, Caner Aygoren, Nurkan Yılmaz, Rodrigo Ramirez-Campillo

“…Additionally, BLC strength correlated with jump height (moderate, r = 0.550, p < 0.05), peak anaerobic power (moderate, r = 0.672, p < 0.01) and power to body mass ratio (moderate, r = 0.545, p < 0.05). BLC strength and sprint variables showed an r 2 = 0.52–0.86 (p < 0.01), while BLC strength and jump variables showed an r 2 = 0.29–0.45 (p < 0.05). …”
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Comparison of surgical wound infection and dehiscence following the use of two methods of nylon sutures and skin staples in staples in diabetic mellitus patients undergoing total k... by Haadiyeh Rahbari, Mohammadamin Ahmadi, Mina Amiri Doreh, Samira Mahmoudi, Parvin Ghaemmaghami, Armin Fereidouni

“…However, surgical wound dehiscence revealed a significant correlation with body mass index (BMI) (P-value = 0.044), Glycosylated hemoglobin (HbA1c) (P-Value = 0.001), and fasting blood glucose (FBS) (P-Value = 0.012) in diabetic mellitus patients. …”
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Dyslipidemia Impacts Cardiometabolic Health and CVD Risk in a Relatively Young Otherwise Healthy Population by Jillian M. Lang, Elena S. Shostak, William K. Quinn, Valerie D. Chervinskaya, Elisa Fioraso, Everett Smith, Christopher J. Kotarsky, Justin A. DeBlauw, Jennifer L. Lloyd, Stephen J. Ives

“…There were significant differences between groups for body weight and composition (total mass, muscle mass, visceral fat, bone mass, and body mass index, all, p < 0.027, Cohen's d > 0.605) with the dyslipidemia group being higher. …”
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Gut Microbiota, Microinflammation, Metabolic Profile, and Zonulin Concentration in Obese and Normal Weight Subjects by Agnieszka Żak-Gołąb, Piotr Kocełak, Małgorzata Aptekorz, Maria Zientara, Łukasz Juszczyk, Gayane Martirosian, Jerzy Chudek, Magdalena Olszanecka-Glinianowicz

“…Plasma zonulin level correlated positively with age (r=0.43, P<0.001), body mass (r=0.30, P<0.01), BMI (r=0.33, P<0.01), fat mass and fat percentage (r=0.31, P<0.01 and r=0.23, P<0.05, resp.). …”
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Association of triglyceride-glucose related indices with mortality among individuals with MASLD combined with prediabetes or diabetes by Yiheng Zhang, Juanli Wu, Tao Li, Yundong Qu, Yan Wang

“…TyG and its related parameters [TyG-waist circumference (TyG-WC), TyG-waist-to-height ratio (TyG-WHtR), TyG-weight-adjusted waist index (TyG-WWI), and TyG-body mass index (TyG-BMI), ] were calculated. To examine the association between TyG-related indices and mortality risk, Cox regression models were utilized. …”
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High-Fiber Extruded Purple Sweet Potato ( Ipomoea batatas ) and Kidney Bean ( Phaseolus vulgaris ) Extends the Feeling of Fullness by Eny Palupi, Naufal Muharam Nurdin, Ghina Mufida, Fadhilah Nur Valentine, Ricter Pangestika, Rimbawan Rimbawan, Ahmad Sulaeman, Dodik Briawan, Fitry Filianty

“…The satiety index determination involved 16 subjects with body mass index in optimal range, and data from the visual analogue scale (VAS) questionnaire were used at 0, 30, 60, 90, 120, 150, and 180 min after consumption of the test food. …”
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Impact of Obesity on Clinicopathologic Characteristics and Disease Prognosis in Pre- and Postmenopausal Breast Cancer Patients: A Retrospective Institutional Study by Nehad M. Ayoub, Rami J. Yaghan, Nour M. Abdo, Ismail I. Matalka, Laila M. Akhu-Zaheya, Alia H. Al-Mohtaseb

“…Analyses were conducted for associations between body mass index (BMI) and age at diagnosis, tumor clinicopathologic characteristics, and molecular subtypes. …”
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Global trends in the burden of ischemic heart disease based on the global burden of disease study 2021: the role of metabolic risk factors by Yifei Wang, Qing Li, Lei Bi, Bin Wang, Tingting Lv, Ping Zhang

“…Key metabolic risk factors evaluated included high systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDLc), fasting plasma glucose (FPG), and body mass index (BMI). Temporal trends were assessed using estimated annual percentage changes (EAPCs), with further analysis by age, sex and socio-demographic index (SDI). …”
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Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study by Tao Wang, Zhitong Zhou, Longbing Ren, Zhiping Shen, Jue Li, Lijuan Zhang

“…Nine variables (age, systolic blood pressure, body mass index, exercise, previous hypertension, triglycerides, fasting plasma glucose, glycated hemoglobin and serum creatinine) were included in the prediction model. …”
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Prevalence of Obesity and Its Association with Socioeconomic Factors in Elderly Iranians from Razavi-Khorasan Province by Mohsen Nematy, Ali Sakhdari, Parnian Ahmadi-Moghaddam, Maliheh Aliabadi, M. Kimiagar, A. A. Ilaty, M. Azimi-Nezhad, M. T. Shakeri, M. Ghayour-Mobarhan, A. Sahebkar, G. Ferns

“…Overweight and obesity were evaluated using body mass index (BMI) and subjects were categorized as thin (BMI <18.5 kg/m2), normal (18.5–24.9 kg/m2), overweight (25–29.9 kg/m2), and obese (?…”
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Early weight gain after stopping smoking: a predictor of overall large weight gain? A single-site retrospective cohort study by Alexandra Pankova, Eva Kralikova, Kamila Zvolska, Lenka Stepankova, Milan Blaha, Petra Ovesna, Paul Aveyard

“…A receiver operating curve analysis showed that patients gaining more than 0.98% of their baseline weight during first 3 months had a sensitivity of 66% and specificity of 44% for gaining 7% or more weight by 12 months. In addition, lower body mass index and an increase in appetite at 3 months after quitting were associated with greater weight gain, while using nicotine replacement therapy was associated with less weight gain at 1-year follow-up.Conclusions People who stop smoking and gain a larger amount of weight early after quitting are not more likely to gain excessively at 1 year.…”
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Efficacy of Curcumin on Treating Cancer Anorexia-Cachexia Syndrome in Locally or Advanced Head and Neck Cancer: A Double-Blind, Placebo-Controlled Randomised Phase IIa Trial (CurCh... by Tawasapon Thambamroong, Kasan Seetalarom, Siriwimon Saichaemchan, Yanisa Pumsutas, Naiyarat Prasongsook

“…The secondary endpoints were handgrip muscle strength, body mass index, absolute lymphocyte count, and safety and toxicity. …”
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PPAR-α Agonist Fenofibrate Decreased Serum Irisin Levels in Type 2 Diabetes Patients with Hypertriglyceridemia by Xiaomeng Feng, Xia Gao, Yumei Jia, Heng Zhang, Qingrong Pan, Zhi Yao, Ning Yang, Jia Liu, Yuan Xu, Guang Wang, Xinchun Yang

“…Serum irisin was significantly higher in group A compared with group B (45.15±10.48 versus 35.38±9.97 ng/ml, P<0.001) and correlated with body mass index (r=0.314, P=0.011), fasting blood glucose (r=0.399, P=0.001), total cholesterol (r=0.256, P=0.040), and high-density lipoprotein cholesterol (r=0.247, P=0.047). …”
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Pulmonary Densitovolumetry Using Computed Tomography in Patients with Nontuberculous Mycobacteria: Correlation with Pulmonary Function Tests by Patricia Gomes Cytrangulo De Marca, Telma Goldenberg, Fernanda Carvalho Queiroz Mello, Alysson Roncally Silva Carvalho, Alan Ranieri Medeiros Guimarães, Roberto Mogami, Agnaldo José Lopes

“…This is a cross-sectional study in which 31 patients with NTM-PD and 27 controls matched by sex, age, and body mass index underwent CT pulmonary densitovolumetry and pulmonary function tests including spirometry and body plethysmograph. …”
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