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  1. 1681

    Effects of Acute Long- versus Short-Interval High-Intensity Interval Training on Attention and Psychological States in a Sample of Male and Female Adolescents: A Pilot Study by Maamer Slimani, Mahdi Issaoui, Hela Znazen, Amri Hammami, Nicola Luigi Bragazzi

    Published 2023-08-01
    “…Fifteen secondary school students (nine males and six females: mean age = 16.2 ± 0.4 years, mean Body Mass Index = 21.2 ± 1.5 kg/m<sup>2</sup>, and maximum oxygen uptake = 42.2 ± 5.9 mL/kg/min) participated in the current study. …”
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  2. 1682

    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

    Published 2025-01-01
    “…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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  3. 1683

    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

    Published 2025-01-01
    “…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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  4. 1684

    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

    Published 2025-02-01
    “…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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  5. 1685

    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

    Published 2024-03-01
    “…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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  6. 1686

    Association between the triglyceride-glucose index and liver fibrosis in adults with metabolism-related fatty liver disease in the United States: a cross-sectional study of NHANES... by Yuou Ying, Yuan Ji, Ruyi Ju, Jinhan Chen, Mingxian Chen

    Published 2025-01-01
    “…Subgroup analyses stratified by sex, age, and body mass index (BMI) revealed differences after adjusting for confounders. …”
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  7. 1687

    HyProCure for Flatfoot Deformity: A Clinical Characteristics Analysis in China by Shaoling Fu, Chenglin Wu, Cheng Wang, Jiazheng Wang, Zhongmin Shi

    Published 2025-01-01
    “…General data was collected, including patient sex, age, side, body mass index (BMI), surgery date, HyproCure size, and surgical data, and trends were analyzed. …”
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  8. 1688

    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

    Published 2019-01-01
    “…Analyses were conducted for associations between body mass index (BMI) and age at diagnosis, tumor clinicopathologic characteristics, and molecular subtypes. …”
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  9. 1689

    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

    Published 2025-01-01
    “…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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  10. 1690

    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

    Published 2024-12-01
    “…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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  11. 1691

    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

    Published 2009-01-01
    “…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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  12. 1692

    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

    Published 2018-12-01
    “…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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  13. 1693
  14. 1694

    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

    Published 2015-01-01
    “…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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  15. 1695

    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

    Published 2019-01-01
    “…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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  16. 1696

    A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes by Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiangxu Hu, Aibiao Zou, Zhiguo Liu, Hualin Wang

    Published 2025-01-01
    “…The SHAP values for interpretation ranked the characteristic variables in descending order of importance: HbA1c, difference between fasting and 2 h-postprandial glucose levels, fasting blood glucose, high-density lipoprotein, age, and body mass index. The XGBoost prediction model demonstrated a training set accuracy of 0.819, specificity of 0.913, positive predictive value of 0.818, and negative predictive value of 0.820. …”
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  17. 1697
  18. 1698

    Changes in quality of life 5 years after sleeve gastrectomy: a prospective cohort study by Karl Ove Hufthammer, Tone Merete Norekvål, Grethe S Tell, Ronette L Kolotkin, Tone Nygaard Flølo, Anny Aasprang, Villy Våge, John Roger Andersen

    Published 2019-09-01
    “…The main exposure was weight loss after SG, assessed as per cent excess body mass index (kg/m2) loss (%EBMIL). The Obesity-Related Problem (OP) scale was used to measure obesity-specific health-related QOL (HRQOL). …”
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  19. 1699

    The effect of expiratory flow limitation on supine persistent hyperinflation in COPD: a prospective observational study by Meera Srinivasan, Hannah Pollard, David G. Chapman, Katrina Tonga, Kieran Patel, Kaj Blokland, David Touma, Cindy Thamrin, Troy Cross, Kim Prisk, Gregory G. King

    Published 2024-11-01
    “…In COPD, worse dynamic elastance (Xrs5 rs 0.499; p=0.001) and EFL (ΔXrs5 rs −0.413; p=0.007), along with increased age and lower body-mass-index were predictors of supine hyperinflation. …”
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  20. 1700

    Associations between neutrophil percentage to albumin ratio and rheumatoid arthritis versus osteoarthritis: a comprehensive analysis utilizing the NHANES database by Wenquan Ding, Rui La, Shenghao Wang, Zhiyuan He, Dinghua Jiang, Zhigang Zhang, Hao Ni, Wu Xu, Lixin Huang, Qian Wu, Qian Wu

    Published 2025-01-01
    “…This association was remarkably consistent across subgroups by age, sex, body mass index (BMI), alcohol consumption, hypertension, diabetes, and smoking status. …”
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