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  1. 1461

    Association between serum uric acid levels and left ventricular hypertrophy based on electrocardiographic findings: a sex-specific analysis across cardiometabolic diseases by Anwar Ahmed Salim, Shin Kawasoe, Takuro Kubozono, Satoko Ojima, Satoshi Yamaguchi, Koji Higuchi, Yoshiyuki Ikeda, Hironori Miyahara, Koichi Tokushige, Mitsuru Ohishi

    Published 2025-01-01
    “…Sex-specific associations between UA and LVH were adjusted for age, body mass index, systolic blood pressure, serum triglyceride, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, fasting plasma glucose, estimated glomerular filtration rate, and lifestyle factors. …”
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  2. 1462
  3. 1463

    Prognostic role of con-/discordant coronary flow reserve and microvascular resistance in coronary microvascular disease: a systematic review and network meta-analysis by Ibtihal Al Amri, Federico Oliveri, Jin Al-Gully, Jessica Parisa Forouzanfar, Jose Manuel Montero-Cabezas, Johan Wouter Jukema, Melina Cynthia den Haan, Brian Oscar Bingen

    Published 2025-01-01
    “…In group D, associated with high body mass index, MACE and mortality rates did not differ significantly from group A (OR: 1.19; 95% CI 0.67 to 2.11 and OR: 0.55; 95% CI 0.16 to 1.90, respectively).Conclusions Abnormal CFR and MR are associated with a high risk of MACE and death. …”
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  4. 1464

    Efficacy of Adjunctive Antiseptic Lavage Solution in Managing Acute Hip/Knee Prosthetic Joint Infection: A Comparative Study in a Tertiary Revision Center by Jonathan Quinn, FRACS, Bernard H. van Duren, DPhil, FRCS, Reshid Berber, PhD, FRCS, Mark Higgins, FRCS, Hosam E. Matar, FRCS, Andrew R. Manktelow, FRCS, Benjamin V. Bloch, FRCS

    Published 2025-02-01
    “…DAIR failed in 50% of diabetic patients compared to 20% of nondiabetic patients (P = .015). Age, body mass index, and organism identification did not influence outcome. …”
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  5. 1465

    Functional Status of Pancreatic α and β Cells in Type 2 Diabetes Mellitus Patients with Different Plasma Triglyceride Levels: A Retrospective Analysis by Hang Guo, Chunlei Ma, Xiaoming Wu, Congqing Pan

    Published 2021-01-01
    “…Glucagon was negatively correlated with ΔI30/ΔG30, high-density lipoprotein (HDL), HOMA-β, body mass index (BMI), ISI, and AUCI (P<0.05) and positively correlated with fasting blood glucose (FPG), AUCG, HOMA-IR, HbA1c, duration, TG, low-density lipoprotein (LDL), and total cholesterol (TC) (P<0.05). …”
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  6. 1466

    Effects of Exercise Domain and Intensity on Sleep in Women and Men with Overweight and Obesity by Jonas Salling Quist, Mads Rosenkilde, Anne Sofie Gram, Martin Bæk Blond, Daniel Holm-Petersen, Mads Fiil Hjorth, Bente Stallknecht, Anders Sjödin

    Published 2019-01-01
    “…We examined effects of active commuting and leisure-time exercise on sleep in individuals with overweight or obesity. 130 physically inactive adults (20–45 years) with overweight or class 1 obesity (body mass index: 25–35 kg/m2) were randomized to 6 months of habitual lifestyle (CON, n = 18), active commuting by bike (BIKE, n = 35), or leisure-time exercise of moderate intensity (MOD, 50% VO2peak-reserve, n = 39) or vigorous intensity (VIG, 70% VO2peak-reserve, n = 38), 5 days/week. …”
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  7. 1467

    Assessment of Plasma Sodium to Potassium Ratio, Renal Function, Markers of Oxidative Stress, Inflammation, and Endothelial Dysfunction in Nigerian Hypertensive Patients by Oloruntoba A. Ekun, Folasade Daniel, Philip Adebola, Adeola Ajibare, Oyeronke O. Ekun, Oluwafunso O Omogoroye, Oluwafemi S. Ilori, Bankole J. Oluwasayo, Mary F. Oshundun, Sade R. Oyegbami

    Published 2020-01-01
    “…The mean systolic blood pressure, mean diastolic blood pressure, mean arterial blood pressure, and body mass index (BMI) were significantly elevated among the hypertensive group when compared with control (p<0.001). …”
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  8. 1468

    Prevalence and associated factors of metabolic syndrome among people living with HIV in a medical center of Northern Taiwan by Chien-An Tu, Chien-Feng Kuo, Chun-Ming Lee, Chang-Pan Liu, Hsiang-Kuang Tseng, Tseng-Yu Huang, Chih-Chen Lin, Hsun Chang, Winter Yu-Ning Lee, Fang-Ju Sun, Zu-Yi Sun, Pei-Ching Lian, Ming-Wei Cheng, Alice Ying-Jung Wu

    Published 2025-02-01
    “…A modified National Cholesterol Education Program ATP III definition of metabolic syndrome was used to define metabolic syndrome and body mass index was used as surrogate for waist circumference. 809 PLWH participated in the study, in which 81.3% of patients were on integrase inhibitor-based HAART regimen. …”
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  9. 1469

    Children’s Eating Behavior Questionnaire Correlated with Body Compositions of Thai Children and Adolescents with Obesity: A Pilot Study by Ekkarit Panichsillaphakit, Yuda Chongpison, Puthita Saengpanit, Tanisa Kwanbunbumpen, Jaraspong Uaariyapanichkul, Sirinuch Chomtho, Chitsanu Pancharoen, Chonnikant Visuthranukul

    Published 2021-01-01
    “…Eating behaviors were assessed by the Children’s Eating Behavior Questionnaire (CEBQ), which is a parent or self-reported research instrument conducted by face-to-face interviews. Body mass index (BMI), BMI-for-age Z-score, waist and hip circumferences, and body compositions were assessed. …”
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  10. 1470

    Development of a core outcome set for school-based intervention studies on preventing childhood overweight and obesity: study protocol by Mai Chinapaw, Teatske M Altenburg, Tessa J Roseboom, Jo Salmon, Deirdre Harrington, Lotte W de Vries, Iris Grooten, Janneke Van 't Hooft, Arend van Deutekom

    Published 2022-07-01
    “…Next, an expert panel will identify all unique outcomes (eg, body composition) from the results of the scoping review and focus groups, ruling out how outcomes were defined and measured (eg, body mass index, body fat). In the next phase, a group of international stakeholders will participate in a Delphi study in which they will rate all unique outcomes on a 9-point Likert scale over three rounds to reach consensus on a COS. …”
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  11. 1471

    Prevalence, Awareness, and Treatment of Hypertension in Patients with Type 1 Diabetes: A Nationwide Multicenter Study in Brazil by Marilia B. Gomes, Lucianne Righeti Monteiro Tannus, Alessandra Saldanha de Mattos Matheus, Roberta Arnoldi Cobas, Catia C. Sousa Palma, Aline Tiemi Kano Silva, Carlos Antonio Negrato, Sergio Atala Dib, Melanie Rodacki, João Soares Felício, Luis Henrique Canani

    Published 2013-01-01
    “…Hypertensive patients were older, exhibited longer duration of diabetes, and had higher body mass index (BMI), total cholesterol, triglycerides, and LDL-C values (P<0.001, for all comparisons), but only 370 (53.7%) received treatment. …”
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  12. 1472

    Prevalence of anaemia and its associated factors among HIV-infected adults at the time of ART initiation at Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia: a r... by Agazhe Aemro, Belayneh Shetie Workneh, Enyew Getaneh Mekonen, Mulugeta Wassie, Basazinew Chekol

    Published 2022-06-01
    “…After multivariate analysis, an increased risk of anaemia was seen among males (adjusted OR (AOR)=2.45; 95% CI: 1.51 to 3.98); those not attending formal education (AOR=2.38; 95% CI: 1.12 to 5.05); those who had baseline CD4+ T cell count ≤200 cells/mm3 (AOR=4.67; 95% CI: 2.78 to 7.85); had body mass index (BMI) &lt;18.5 kg/m2 (AOR=2.43; 95% CI: 1.42 to 4.16) and had ambulatory/bedridden baseline functional status (AOR=2.69; 95% CI: 1.41 to 5.12).Conclusion The current study showed that a significant proportion of HIV-infected adults developed anaemia at the time of ART initiation. …”
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  13. 1473

    The influencing factors of the erythropoietin resistance index and its association with all-cause mortality in maintenance hemodialysis patients by Xinju Zhao, Liangying Gan, Fan Fan Hou, Xinling Liang, Xiaonong Chen, Yuqing Chen, Zhaohui Ni, Li Zuo

    Published 2024-12-01
    “…Multivariate logistic regression showed that dialysis vintage (OR 0.957, 95% CI: 0.929–0.986), white blood cells (OR 0.900, 95% CI: 0.844–0.960), high flux dialyzer use (OR 0.866, 95% CI: 0.755–0.993), body mass index (OR 0.860, 95% CI: 0.828–0.892), males (OR 0.708, 95% CI: 0.625–0.801), and albumin (OR 0.512, 95% CI: 0.389–0.673) had a negative association with high ERI baseline (all p < 0.05). …”
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  14. 1474

    Polygenic prediction of human longevity on the supposition of pervasive pleiotropy by M. Reza Jabalameli, Jhih-Rong Lin, Quanwei Zhang, Zhen Wang, Joydeep Mitra, Nha Nguyen, Tina Gao, Mark Khusidman, Sanish Sathyan, Gil Atzmon, Sofiya Milman, Jan Vijg, Nir Barzilai, Zhengdong D. Zhang

    Published 2024-08-01
    “…We tracked allele frequency changes as a function of viability across different age bins and prioritized 34 variants with an immediate implication on lipid metabolism, body mass index (BMI), and cognitive performance, among other traits, revealed by PheWAS analysis in the UK Biobank. …”
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  15. 1475

    Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach by Dongmei Pei, Chengpu Zhang, Yu Quan, Qiyong Guo

    Published 2019-01-01
    “…Nine variables, including age, gender, body mass index (BMI), hypertension, history of cardiovascular disease or stroke, family history of diabetes, physical activity, work-related stress, and salty food preference, were considered. …”
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  16. 1476

    Serum N-Glycan Profiling Predicts Prognosis in Patients Undergoing Hemodialysis by Shingo Hatakeyama, Maho Amano, Yuki Tobisawa, Tohru Yoneyama, Megumi Tsushima, Kazuko Hirose, Takahiro Yoneyama, Yasuhiro Hashimoto, Takuya Koie, Hisao Saitoh, Kanemitsu Yamaya, Tomihisa Funyu, Shin-Ichiro Nishimura, Chikara Ohyama

    Published 2013-01-01
    “…Cox regression multivariate analysis showed cardiovascular events, body mass index, maximum intima media thickness, and the serum N-glycan intensity of peak number 49 were predictive indicators for overall survival. …”
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  17. 1477

    Ethnic inequalities in mental and physical multimorbidity in women of reproductive age: a data linkage cohort study by Amelia Jewell, Matthew Broadbent, Stephani Hatch, Mark Ashworth, Megan Pritchard, Sarah Dorrington, Louise Howard, Raquel Catalao

    Published 2022-07-01
    “…Objectives Explore inequalities in risk factors, mental and physical health morbidity in non-pregnant women of reproductive age in contact with mental health services and how these vary per ethnicity.Design Retrospective cohort study.Setting Data from Lambeth DataNet, anonymised primary care records of this ethnically diverse London borough, linked to anonymised electronic mental health records (‘CRIS secondary care database’).Participants Women aged 15–40 years with an episode of secondary mental health care between January 2008 and December 2018 and no antenatal or postnatal Read codes (n=3817) and a 4:1 age-matched comparison cohort (n=14 532).Main outcome measures Preconception risk factors including low/high body mass index, smoking, alcohol, substance misuse, micronutrient deficiencies and physical diagnoses.Results Women in contact with mental health services (whether with or without severe mental illness (SMI)) had a higher prevalence of all risk factors and physical health diagnoses studied. …”
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  18. 1478

    Combination of autoimmune hepatitis to non-alcoholic steatohepatitis (Clinical case) by A. A. Driga, M. V. Mayevskaya, V. T. Ivashkin

    Published 2010-11-01
    “…In physical status asthenia, body mass index of 49,8 kg/m2, subicteric sclerae drawn attention. …”
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  19. 1479

    Mortality and Its Predictors among Adult Human Immune-Deficiency Virus-Infected Patients Attending Their Antiretroviral Treatment at Health Centers, Addis Ababa, Ethiopia: Multicen... by Selam Tesfayohannes, Sisay Shine, Abinet Mekuria, Sisay Moges

    Published 2022-01-01
    “…Age category over 50, TB comorbidity, WHO stage IV, lack of medication adherence, co-trimoxazole therapy, body mass index under 18.5 kg/m2, and CD4 cell count under 200/dl were predictors of mortality. …”
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  20. 1480

    AMH Is a Good Predictor of Metabolic Risk in Women with PCOS: A Cross-Sectional Study by Miaoxian Ou, Pei Xu, Han Lin, Kaichi Ma, Mingxing Liu

    Published 2021-01-01
    “…AMH was negatively associated with HOMA-IR (odds ratio (OR) −0.279, 95% confidence interval (CI) −0.36 to −0.20), fasting insulin (OR −0.282, 95% CI −0.36 to −0.20), 1-hour postprandial insulin (OR −0.184, 95% CI −0.28 to −0.11), 2-hour postprandial insulin (−0.180, 95%CI −0.28 to −0.11), 3-hour postprandial insulin (OR −0.198, 95% CI –0.30 to −0.13), waist-hip ratio (OR −0.235, 95% CI −0.31 to −0.14), and body mass index (OR −0.350, 95% CI −0.43 to −0.27). …”
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