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  1. 1461

    Unraveling the threads of depressive symptoms: Enhancing predictions of depression among university junior students by Said El-Ashker, Abdulmajeed Alharbi, Somaya Mahmoud, Feras Al-Awad, Ahlam Alghamdi, Nouf Alaqeel, Mohammed Al-Hariri

    Published 2025-01-01
    “…Furthermore, the results revealed that body mass index ( b  = 0.272, t(146) = 4.636, p  < .001), perceived stress ( b  = 0.182, t(146) = 2.910, p  < 0.01), and perceived burdens ( b  = 0.593, t(146) = 9.507, p  < .001) were significant predictors of depressive symptoms among Saudi university junior students. …”
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  2. 1462

    Threshold effects of sleep duration and cognitive function in older adults with BMI ≥ 25 kg/m2 by Kunyu Qiu, Kunyu Qiu, Yilei Liu, Chengwei Hu, Jie Gu, Yanyan Huang

    Published 2025-01-01
    “…The impact of sleep duration on cognitive performance in seniors with a body mass index (BMI) ≥ 25 kg/m2 is largely unknown. This makes it an intriguing subject to explore further.MethodsThis study used data from the National Health and Nutrition Examination Survey (NHANES) (2011–2014) with 2,243 participants. …”
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  3. 1463

    Correlation between weight-adjusted waist index and coronary heart disease: NHANES 1999–2020 by Yan Liu, Shougang Sun, Qi Zou, Ting Tao, Dian Li, Guodong Han, Zhiliang Wei

    Published 2025-01-01
    “…Additionally, RCS analysis indicated a linear relationship between WWI and CHD. and the ROC analysis results showed that the discriminatory power of WWI for CHD was superior to that of body mass index (BMI) and WC. Glycated hemoglobin (HbA1c) partially mediated the relationship between WWI and CHD. …”
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  4. 1464

    Linking Sleep to Hypertension: Greater Risk for Blacks by A. Pandey, N. Williams, M. Donat, M. Ceide, P. Brimah, G. Ogedegbe, S. I. McFarlane, G. Jean-Louis

    Published 2013-01-01
    “…Significant interactions of insufficient sleep with race/ethnicity were observed even after adjusting to effects of age, sex, income, education, body mass index, alcohol use, smoking, emotional distress, diabetes, coronary heart disease, and stroke. …”
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  5. 1465

    Anthropometric, aerobic and muscle power profile of young costa rican basketball players by Randall Gutiérrez-Vargas, José Alexis Ugalde-Ramírez, José Pino-Ortega, José Andrés Trejos-Montoya, Luis Blanco-Romero, Braulio Sánchez-Ureña, Juan Carlos Gutiérrez-Vargas, Daniel Rojas-Valverde

    Published 2022-07-01
    “…The following parameters were assessed: height, weight, body mass index, skeletal muscle mass and body fat percentage, countermovement test (CMJ) and Yo-Yo Intermittent Recovery Test Level I. …”
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  6. 1466

    Association between magnesium depletion score and prevalence of hyperuricemia in American adults: a study based on NHANES 2007-2018 by Yongchun Xiao, Yong Mou, Yong Mou, Ping Wu, Ke Wang, Tianjun Chen, Zhiwan Chen, Hongsheng Lin, Hua Yang, Zhisheng Ji

    Published 2025-02-01
    “…Subgroup analysis indicated a positive association between MDS and HUA, with significant interactions observed for sex and body mass index. Sensitivity and additional analyses reinforced the robustness of these findings.ConclusionAmong U.S. adults, higher MDS were significantly associated with an increased prevalence of HUA, suggesting that interventions targeting magnesium deficiency could be beneficial in reducing HUA prevalence within this population. …”
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  7. 1467

    Selected health characteristics are associated with urban Canadians’ acceptability of policies promoting healthier restaurant food environments by Jessica Lambert-De Francesch, Kadia Saint-Onge, Nazeem Muhajarine, Lise Gauvin

    Published 2025-01-01
    “…Participants: Urban Canadian adults responded to the survey (n 27 162). Results: Body mass index was not associated with acceptability after adjustments for other health and sociodemographic characteristics were made. …”
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  8. 1468

    Sofosbuvir Based Regimens in the Treatment of Chronic Hepatitis C with Compensated Liver Cirrhosis in Community Care Setting by Vijay Gayam, Amrendra Kumar Mandal, Mazin Khalid, Osama Mukhtar, Arshpal Gill, Pavani Garlapati, Mowyad Khalid, Mohammed Mansour

    Published 2018-01-01
    “…SVR 12 did not vary based on age, sex, body mass index, baseline HCV viral load, HCV/HIV coinfection, type of genotype, and prior treatment status. …”
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  9. 1469

    Association of the body roundness index with chronic diarrhea and chronic constipation: findings based on the National Health and Nutrition Examination Survey 2005–2010 data by Yinda Wang, Fei Chen, Binzhong Zhang, Zhengwei Song

    Published 2025-01-01
    “…Additionally, the research compared the efficacy of various physical measurements—including BRI, WC, BMI (body roundness index, waist circumference, and body mass index, respectively)—to determine their respective diagnostic power for chronic diarrhea and constipation through comparative analysis of receiver operating characteristic (ROC) curves. …”
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  10. 1470

    New Onset Diabetes Mellitus in Living Donor versus Deceased Donor Liver Transplant Recipients: Analysis of the UNOS/OPTN Database by Anitha D. Yadav, Yu-Hui Chang, Bashar A. Aqel, Thomas J. Byrne, Harini A. Chakkera, David D. Douglas, David C. Mulligan, Jorge Rakela, Hugo E. Vargas, Elizabeth J. Carey

    Published 2013-01-01
    “…Risk factors in DDLT recipients were recipient male gender, recipient age, body mass index, donor age, donor diabetes, HCV, and treated ACR. …”
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  11. 1471

    Epidemiology of clinically significant migraine in Israel: a retrospective database study by A. Shifrin, E. Domany, M. Tirosh, D. Davidovici, S. Vinker, I. Forschner, A. Israel

    Published 2025-02-01
    “…Compared to a matched control population, migraine patients showed a higher prevalence of low body mass index (BMI) and higher diastolic blood pressure (BP). …”
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  12. 1472

    Evaluation of nutritional, anthropometric, and psychological outcomes in different metabolic and bariatric surgery techniques: a follow up study by Elham Hojaji, Zahra Veysi, Shadi Naderyan Fe’li, Neda Shalbaf, Moslem Arian, Cain C. T. Clark, Ahmad Reza Dorosty Motlagh

    Published 2025-01-01
    “…All anthropometric indices including weight, Body Mass Index (BMI), protein content, fat mass, and fat mass percentage decreased after Roux-en-Y gastric bypass (RYGB), one-anastomosis gastric bypass (OAGB), and sleeve gastrectomy (SG) surgeries (P < 0.05). …”
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  13. 1473

    The Effect of Anterior Uterocervical Angle on Primary Dysmenorrhea and Disease Severity by Mefkure Eraslan Sahin, Erdem Sahin, Yusuf Madendag, Ilknur Col Madendag, Ahter Tanay Tayyar, Fatma Özdemir, Gokhan Acmaz, Iptisam Ipek Muderris

    Published 2018-01-01
    “…Those with primary dysmenorrhea had a significant family history of primary dysmenorrhea compared with controls (P<0.001). Age (P=0.668), body mass index (P=0.898), menarche age (P=0.915), and length of menstrual cycles (P=0.740) were similar in all groups. …”
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  14. 1474

    Effects of Smoking on Intima-Media Thickness of the Common Carotid Artery Using Ultrasonography by Asmaa Mustafa Alsiddig, Ibrahim Abdelrhim Ali

    Published 2024-01-01
    “…Conclusions There was a statistically insignificant difference between the case (smokers) and control (non-smokers) groups in terms of age, body mass index (BMI), resistance index (RI), and systolic–diastolic ratio (S/D). …”
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  15. 1475

    Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models by Lu Li, Huub Hoefsloot, Barbara M. Bakker, David Horner, Morten A. Rasmussen, Age K. Smilde, Evrim Acar

    Published 2024-12-01
    “…<b>Results</b>: Our experiments demonstrated that the joint analysis of simulated and real data had better performance in terms of pattern discovery, achieving higher correlations with a BMI (body mass index)-related phenotype compared to the analysis of only real data in males, while in females, the performance was comparable. …”
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  16. 1476

    Energy intake insufficiency due to underestimated energy requirement by common predictive formulas can be identified by urinary amino acid levels in advanced heart failure by Yoko Sakamoto, Tomohito Ohtani, Kei Nakamoto, Fusako Sera, Shungo Hikoso, Yasushi Sakata

    Published 2025-01-01
    “…We found a significant negative correlation between REEBW and body mass index (BMI), but no significant correlation between REEBW and HF-related parameters. …”
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  17. 1477

    Prevalence and predictive factors of testosterone-induced erythrocytosis: a retrospective single center study by Anina Neidhart, Viktor von Wyl, Viktor von Wyl, Benno Käslin, Christoph Henzen, Stefan Fischli

    Published 2025-01-01
    “…Logistic regression analysis indicated that body mass index (BMI) was significantly associated with the development of an HCT ≥0.5 (p=0.013) and HCT ≥0.46 (p=0.008). …”
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  18. 1478

    Correlation of diabetes and adverse outcomes in hospitalized COVID-19 patients admitted to a tertiary hospital in China during a small-scale COVID-19 outbreak by Yu Li, Guanni Li, Jiahong Li, Zirui Luo, Yaxuan Lin, Ning Lan, Xiaodan Zhang

    Published 2025-01-01
    “…Results The mortality rate of COVID-19 patients with diabetes was higher than the rate of non-diabetic COVID-19 patients, both at discharge, and at 6 months after discharge. Body mass index (BMI), C-reactive protein (CRP), pH, D-dimer, blood osmotic pressure, serum creatinine, white blood cell count, creatine kinase and hospitalization expenses were significantly different between diabetic group and non-diabetic group (p < 0.05). …”
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  19. 1479

    Pre-gestational diabetes in a young woman with a pathogenic INSR missense mutation, p.(Met1180Lys) by Emma L Prehn, Mairéad Crowley, David Fennell, Brendan T Kinsley, Kevin Colclough, Maria M Byrne

    Published 2025-02-01
    “…At 18 months post-partum, her body mass index was 26.3 kg/m2, with no evidence of acanthosis nigricans or features of lipodystrophy. …”
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  20. 1480

    Obesity Phenotypes, Lifestyle Medicine, and Population Health: Precision Needed Everywhere! by Jean-Pierre Després, Dominic J. Chartrand, Adrien Murphy-Després, Isabelle Lemieux, Natalie Alméras

    Published 2025-01-01
    “…The heterogeneity of obesity phenotypes represents a clinical challenge to the evaluation of cardiometabolic risk associated with a given body mass index (BMI). Simple tools can be used to better appreciate its heterogeneity. …”
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