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  1. 1921

    Clinical efficacy of a virtual reality tool for the treatment of obesity: study protocol of a randomised controlled trial by Dimitra Anastasiadou, Jose Antonio Ramos-Quiroga, Mel Slater, Bernhard Spanlang, Desiderio Cano Porras, Marta Comas, Andreea Ciudin, Gemma Parramon Puig, Julia Vázquez-De Sebastián, Pilar Lusilla-Palacios

    Published 2022-06-01
    “…The objective of this study is to assess the clinical efficacy of a VR intervention that uses embodiment and body-swapping techniques and has been specifically developed to cover the needs of PLWO.Methods and analysis A randomised control trial will be carried out with an estimated sample of 96 participants with body mass index (BMI)>30. The whole duration of the trial will be 12 months. …”
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  2. 1922

    PPARα Gene Is Involved in Body Composition Variation in Response to an Aerobic Training Program in Overweight/Obese by Glêbia A. Cardoso, Mateus D. Ribeiro, Bruno R. V. Sousa, Yohanna de Oliveira, Klécia F. Sena, Joane R. E. Batista, Antônio E. M. Almeida, João M. Filho, Raquel S. B. Silva, Darlene C. Persuhn, Alexandre S. Silva

    Published 2021-01-01
    “…Fifty-eight previously inactive men and women, body mass index (BMI) 31.5±2.8 kg/m2, 46.5% (n=27) genotyped as CC genotype and 53.5% (n=31) as CA+AA, underwent a 12-week aerobic training (walking/running). …”
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  3. 1923

    Prevalence of diabetes-related sarcopenia and its defining components within primary care: A cross-sectional study by Rubén Silva-Tinoco, Lilia Castillo-Martínez, Berenice Cabrera-Victoria, Eileen Guzmán-Olvera, Christian Hinojosa-Segura, Alejandro Avalos-Bracho, Cira Santillán-Díaz

    Published 2025-04-01
    “…Univariate logistic regression analysis identified that age, educational level, diabetes duration, weight, body mass index, waist circumference, hip circumference, fat mass, use, and insulin dose were associated with altered MF assessment. …”
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  4. 1924

    Determining whether ethnic minorities with severe obesity face a disproportionate risk of serious disease and death from COVID-19: outcomes from a Southern California-based retrosp... by Qiaowu Li, Hemesh Mahesh Patel, Shefali Khandwala, Poonam Somani, Stephanie Tovar, Alejandra Montano

    Published 2022-06-01
    “…We aim to determine if ethnic minorities with severe obesity—defined as a body mass index (BMI) above 40 kg/m²—experience higher rates of hospitalisation, invasive ventilation and death.Design and setting Retrospective cohort study from 1 March 2020 to 28 February 2021 within an integrated healthcare organisation in Southern California.Participants We identified 373 831 patients by COVID-19 diagnosis code or positive laboratory test.Methods Multivariable Poisson regression with robust error variance estimated adjusted risks of hospitalisation, invasive ventilator use and death within 30 days. …”
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  5. 1925

    Preconception diet quality and modified natural cycle in vitro fertilisation outcomes by Janine P.M. Faessen, Irene Homminga, Marion E.C. Buso, Ruxandra A. Nagy, Jannie van Echten-Arends, Edith J.M. Feskens, Uwe J.F. Tietge, Annemieke Hoek, Elske M. Brouwer-Brolsma

    Published 2025-01-01
    “…Statistical analyses involved Cox proportional hazard regression analyses while adjusting for maternal covariates age, smoking, and Body Mass Index (BMI), and stratified for treatment, age, BMI, and energy intake. …”
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  6. 1926

    Long-Term Real-World Outcomes of Tenofovir Alafenamide in Chronic Hepatitis B: Detailed Analysis of Treatment-Naive and Experienced Patients by Yu-Xuan Song, Guang-Jun Song, Hui Ma, Bo Feng, Yan-Di Xie

    Published 2025-01-01
    “…A significant decrease in the HBsAg levels from the baseline was observed at 144 and 192 weeks in the treatment-naive patients (p=0.01). The baseline body mass index (BMI) <25 kg/m2 (p=0.02) and HBsAg <3.3 log10IU/mL (p=0.04) were identified as predictive factors for a decrease in HBsAg ≥0.5 log10IU/mL at 48 weeks. …”
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  7. 1927

    Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

    Published 2025-01-01
    “…Among these, age, plasma prothrombin time, gender, body mass index (BMI), and prothrombin time and international normalized ratio (PTINR) emerged as the top five features, with SHAP values of 0.1990, 0.0981, 0.0471, 0.0433, and 0.0422, respectively. …”
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  8. 1928

    High serum uric acid levels are associated with increased prevalence of gallstones in adult women: a cross-sectional study based on NHANES by Guozheng Lv, Guozheng Lv, Decai Wang, Decai Wang, Yu Huang, Ruizi Shi, Chuan Qin, Xi Chen, Xintao Zeng, Hua Luo, Pei Yang, Sirui Chen, Jianjun Wang, Jianjun Wang

    Published 2025-01-01
    “…Subgroup analyses were performed to investigate associations between SUA levels and age, ethnicity, body mass index, hypertension, and diabetes.ResultsA total of 600 participants self-reported a history of GS. …”
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  9. 1929

    Risk factors for the delayed discharge from anesthesia intensive care unit: a single-center retrospective study by Yue Qian, Jing Hao, Wei Zhu, Yan Yang, Zhuan-yun Zhang, Lu-yang Zhou, Xiao-ping Gu, Zheng-liang Ma, Yu-e Sun

    Published 2025-02-01
    “…Binary multivariate logistic regression analysis showed that younger than 18 years or older than 64 years, the American Society of Anesthesiologists physical status of class III-IV, body mass index of less than 18 kg/m2 or greater than 25 kg/m2, preoperative complications, emergency surgeries and intraoperative massive hemorrhage were risk factors for the delayed discharge from an AICU. …”
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  10. 1930

    Sucrose-Sweetened Drinks Reduce the Physical Performance and Increase the Cardiovascular Risk in Physically Active Males by Raianne dos Santos Baleeiro, Aparecida Patricia Guimarães, Perciliany Martins de Souza, Rafael da Silva Andrade, Karina Barbosa de Queiroz, Daniel Barbosa Coelho, Emerson Cruz de Oliveira, Lenice Kappes Becker

    Published 2021-01-01
    “…After eSSBd intake, there was an increase in weight (69.34 ± 13.71 vs. 70.62 ± 14.06), body mass index (24.49 ± 4.01 vs. 24.97 ± 4.13), waist circumference (75.33 ± 11.22 vs. 76.79 ± 11.51), VLDL (19.54 ± 9.50 vs. 25.52 ± 11.18), triglycerides (78.94 ± 23.79 vs. 114.77 ± 43.65), and peak systolic blood pressure (178.57 ± 26.56 vs. 200.71 ± 24.64). …”
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  11. 1931

    Association between Chronic Pain and Diabetes/Prediabetes: A Population-Based Cross-Sectional Survey in Saudi Arabia by Khaled K. Aldossari, Mamdouh M. Shubair, Jamaan Al-Zahrani, Abdulrahman A. Alduraywish, Khalid AlAhmary, Salwa Bahkali, Sara M. Aloudah, Sami Almustanyir, Laila Al-Rizqi, Sally A. El-Zahaby, Paivi Toivola, Ashraf El-Metwally

    Published 2020-01-01
    “…Anthropometric measurements were taken, including body weight, height, body mass index (BMI) and waist circumference. A blood sample was also drawn from each respondent for fasting blood sugar, HbA1c, and fasting lipid profile. …”
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  12. 1932

    Effect of older age and/or ACL injury on the dose–response relationship between ambulatory load magnitude and immediate load-induced change in serum cartilage oligomeric matrix pro... by Simon Herger, Corina Nüesch, Anna-Maria Liphardt, Christian Egloff, Annegret Mündermann

    Published 2025-12-01
    “…Also, ∆_sCOMP(tpost) was 19% lower in older than younger participants (p = 0.030) and increased with body mass index (p < 0.001), sCOMP(tpre) (p = 0.008), and with 120%BW (p < 0.001), independent of age, ACL injury, or sex. …”
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  13. 1933

    Prediction of major adverse cardiovascular events following ST-segment elevation myocardial infarction using cardiac obesity marker—epicardial adipose tissue mass index: a prospect... by Zeyan Liu, Jinbo Wang, Yanfang Yang, Jinglin Cheng, Min Yang, Ye Zhang

    Published 2025-02-01
    “…Subgroup analyses were conducted based on age, gender, body mass index (BMI), left ventricular ejection fraction (LVEF), and culprit artery.ResultsA total of 308 patients were included in the analysis, with 212 in the training set and 96 in the validation set. …”
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  14. 1934

    Effects of Semaglutide Treatment on Psoriatic Lesions in Obese Patients with Type 2 Diabetes Mellitus: An Open-Label, Randomized Clinical Trial by Jelena Petković-Dabić, Ivana Binić, Bojana Carić, Ljiljana Božić, Sanja Umičević-Šipka, Nataša Bednarčuk, Saša Dabić, Mirna Šitum, Snježana Popović-Pejičić, Miloš P. Stojiljković, Ranko Škrbić

    Published 2025-01-01
    “…A significant decrease in the body mass index (BMI) value in the semaglutide-treated group was also identified, as well as a significant decrease in the level of low-density cholesterol (LDL) (<i>p</i> < 0.05). …”
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  15. 1935

    Whole systems approaches to diet and healthy weight: A scoping review of reviews. by Gavin Breslin, Olujoke Fakoya, Wendy Wills, Nigel Lloyd, Charis Bontoft, Amander Wellings, Sian Harding, John Jackson, Katherine Barrett, Adam P Wagner, Lisa Miners, Honey-Anne Greco, Katherine E Brown

    Published 2024-01-01
    “…WSA implementations have reported some success in positively impacting health outcomes including reducing Body Mass Index, reducing sugary food intake, and increasing physical activity. …”
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  16. 1936

    Genetic Polymorphisms in RNF138, ABCA1 and ESRRG-GPATCH2 Genes and their Role in Insulin Resistance Risk among Normal BMI Individuals in Indian Population: A Case-control Study by Sabitha Thummala, Sarah Fathima, Nithya Kruthi, Junaid Ahmed Khan Ghori, Katherine Saikia, Vivek Belde, Balamurali Andiyakkal Rajendran, Rahul Ranganathan

    Published 2025-01-01
    “…Despite the growing prevalence, the genetic underpinnings of Insulin Resistance (IR) among Indians with a normal Body Mass Index (BMI) remains understudied. Aim: To fill the knowledge gap by investigating the association of specific gene variants (RNF138, ABCA1, and Oestrogen-Related Receptor γ (ESRRG)-GPATCH2) with IR risk in this demographic. …”
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  17. 1937

    A Study of the Relationship between the Polymorphism and Mutation of rs682429 and rs3781590 in the LRP5 Gene and Bone Metabolism in Postmenopausal Type 2 Diabetic Women in Xinjiang by Jun Li, SiYuan Li, HuiRong Zhao, JiaJia Li, Shuang Wang, YanQiu Shi

    Published 2020-01-01
    “…Results. (1) The rs682429 polymorphism of the LRP5 genotype distribution was statistically significant (P<0.05) in group B compared with group A. (2) The triglycerides (TG) of women with the CT/TT genotype (mutant type) were higher than those of women with the CC genotype (wild type) (2.37±1.30 vs. 1.52±0.83, P<0.05) at the rs3781590 site of the LRP5 gene in group D. (3) Multiple linear regression analysis showed that TG (β=0.034, P<0.05) and body mass index (BMI) (β=0.013, P<0.05) were the influencing factors of BMD (L1-4) in T2DM patients. …”
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  18. 1938

    Development of a nomogram for predicting pancreatic portal hypertension in patients with acute pancreatitis: a retrospective study by Yong Lv, Hui Luo, Yingjie Zhang, Xiangping Wang, Yanglin Pan, Yunling Li, Qiaoyu Su, Xianchen Zhan, Linhui Zhang, Xiaoyu Kang, Shuhui Liang, Gui Ren

    Published 2024-06-01
    “…Multivariate regression analysis showed that body mass index (BMI) (HR, 1.10; 95% CI 1.04 to 1.16; p=0.001), moderately severe grade (HR, 9.36; 95% CI 4.58 to 19.13; p&lt;0.001), severe grade (HR, 12.95; 95% CI 6.22 to 26.94; p&lt;0.001), diabetes (HR, 2.26; 95% CI 1.47 to 3.47; p&lt;0.001), acute fluid accumulation (HR, 2.13; 95% CI 1.31 to 3.47; p=0.002), and necrosis (HR, 3.64; 95% CI 2.30 to 5.78; p&lt;0.001) were independent risk factors for PPH. …”
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  19. 1939

    Associations of healthy lifestyle and family income to poverty ratio with all-cause mortality among people with prediabetes and diabetes: a prospective cohort study by Zhu Li, Lin Zhou, Yongshi Wu, Tao Ding, Yuxin Gan, Xiang Fan

    Published 2025-01-01
    “…The weighted healthy lifestyle score was constructed based on smoking, alcohol consumption, physical activity, diet (HEI-2015), and body mass index. Generalized linear regression models were used to analyze the association between healthy lifestyle, PIR, and all-cause mortality. …”
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  20. 1940

    Differential impact of TyG and TyG-BMI indices on short- and long-term mortality in critically ill ischemic stroke patients by Yufan Pu, Na Xing, Ying Wang, Huihuang Wang, Jiang Xu, Xuejing Li

    Published 2024-12-01
    “…Furthermore, the TyG-BMI index, which combines TyG with body mass index (BMI), may offer a more comprehensive measure by accounting for obesity-related metabolic burden. …”
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