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  1. 821

    The prevalence and risk factors of diabetes and hypertension among police personnel: A population-based cross-sectional study by Deepak V. Chaturvedi, Digant Gupta, Darpan M. Maheshgauri, Gauri E. Yadav, Dhrubajyoti J. Debnath, Asmita D. Chaturvedi

    Published 2025-01-01
    “…The key risk factors of interest were age, gender, and body mass index (BMI). Binary logistic regression was used to quantify the relationship between the independent variables (age, gender, and BMI) and the dichotomous dependent variables (diabetes and hypertension). …”
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  2. 822

    The relationship of growth differentiation factor 15 with some biochemical parameters in cardiovascular disease patients in Babylon City by Hiba Resheed Behayaa, Zinah Abbass Ali, Seenaa Badr Mohammed, Suhayr A. Alqaysi

    Published 2024-01-01
    “…Objective: The objective of the study was the valuation of GDF15 level in the serum of patients with CVD in Babylon City and to check whether there was a link between age, body mass index, lipid profile, insulin resistance, adiponectin and C-reactive protein with GDF15. …”
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  3. 823

    Adiposity is associated with a higher number of thyroid nodules and worse fine-needle aspiration outcomes by Elpida Demetriou, Aliki Economides, Maria Fokou, Demetris Lamnisos, Stavroula A Paschou, Panagiotis Papageorgis, Panayiotis A Economides

    Published 2025-01-01
    “…Aim: To evaluate the impact of adiposity on thyroid nodules using body mass index (BMI), ultrasonographic (US) data and cytological data. …”
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  4. 824

    Association between Prenatal One-Hour Glucose Challenge Test Values and Delivery Mode in Nondiabetic, Pregnant Black Women by Jerel M. Ezell, Rosalind M. Peters, Jessica E. Shill, Andrea E. Cassidy-Bushrow

    Published 2015-01-01
    “…After stratifying by parity and adjusting for maternal age, previous C-section, and prepregnancy body mass index, 1-hour GCT value was significantly associated with increased risk of C-section among parous women (OR per 1 mg/dL increase in GCT value = 1.05; 95% CI OR: 1.00, 1.05; P=0.045). …”
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  5. 825

    Review of Metabolic Surgery for Type 2 Diabetes in Patients with a BMI < 35 kg/m2 by Hideharu Shimizu, Poochong Timratana, Philip R. Schauer, Tomasz Rogula

    Published 2012-01-01
    “…Bariatric/metabolic surgery is considered an accepted treatment option for type 2 diabetes mellitus (T2DM) with body mass index (BMI)  ≧  35 kg/m2. Mounting evidence also shows that metabolic surgery is effective for T2DM with BMI  <  35 kg/m2. …”
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  6. 826

    Assessing Gender Dimorphism Indicators in Anthropometric Characteristics and Features of the Bony Pelvis of Female Representatives of Pair and Group Types in Sports Acrobatics by Nataliia Veronika Bachynska, Eduard Doroshenko, Andrii Svatiev, Victor Bohuslavskyi

    Published 2025-01-01
    “…The research methods employed included the measurements of body length (cm), body weight (kg), shoulder width (cm), determination of body mass index (conventional unit); pelvimetry was performed to detect the transverse and longitudinal dimensions of the bony pelvis, as well as the degree of maturity of the pelvic bones using the index of pelvic bone (IPB). …”
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  7. 827

    Projected health and economic effects of the increase in childhood obesity during the COVID-19 pandemic in England: The potential cost of inaction. by Iván Ochoa-Moreno, Ravita Taheem, Kathryn Woods-Townsend, Debbie Chase, Keith M Godfrey, Neena Modi, Mark Hanson

    Published 2024-01-01
    “…<h4>Methods</h4>Using publicly available annual Body Mass Index (BMI) data from 2006-2022, we calculated the increase in overweight/obesity prevalence (BMI ≥85th reference percentile) during the COVID-19 pandemic among children aged 4-5 and 10-11, and variation by deprivation and ethnicity. …”
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  8. 828

    Early Postoperative Outcomes and Medication Cost Savings after Laparoscopic Sleeve Gastrectomy in Morbidly Obese Patients with Type 2 Diabetes by Bethany J. Slater, Nina Bellatorre, Dan Eisenberg

    Published 2011-01-01
    “…Morbidly obese patients with type 2 diabetes who underwent LSG were included in the study. Age, gender, body mass index (BMI), diabetic medication use, glucose, insulin, and HbA1c levels were documented preoperatively, and at 2 weeks, 2 months, 6 months, and 12 months postoperatively. …”
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  9. 829

    The Effect of Chronic Inhouse Biomass Fuel Smoke Exposure on Coronary Slow Flow Phenomenon in Women Living in the Eastern Region of Turkey by Tayyar AKBULUT, Faysal SAYLIK

    Published 2022-03-01
    “…The presence of biomass exposure, body mass index, white blood cell count, low-density lipoprotein cholesterol, C-reactive protein, serum creatinine, and hypertension were independent predictors of SCF. …”
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  10. 830

    Mediating role of exercise in the relationship between body dissatisfaction and overeating using structural equation modeling by Zhimin Yi, Wenjing Yan, Guohuan Hua, Ying Wang, Chunmei Wu, Guoqiu Liu, Ming Hao

    Published 2025-01-01
    “…Results Our results found that 69.4% of participants with a body mass index (BMI) within the normal range were dissatisfied with their weight. …”
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  11. 831

    Risk factors associate with overweight and obesity in adolescents by Carmen Emilia Guerra Cabrera, Jesús Vila Díaz, Juan José Apolinaire Pennini, Ailyn del Carmen Cabrera Romero, Inti Santana Carballosa, Pilar Maritza Almaguer Sabina

    Published 2009-05-01
    “…<br /><strong>Methods</strong>: We designed a case-control, analytical, observational, retrospective research including 50 school age adolescents assessed after their body mass index as obese and overweight (cases) and 50 adolescents with normal weight (controls), between the ages of 10 and 12 years from four primary schools belonging to Health Area III of Cienfuegos municipality. …”
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  12. 832

    Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

    Published 2025-01-01
    “…Methods: Data collection considered Indian patients with various medical conditions, body mass index profiles, blood pressure levels, ages, and smoking habits, reflecting a broad demographic spectrum. …”
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  13. 833

    Disease Burden and Harm of Osteoarthritis by WU Haotian, LIN Jianhao

    Published 2024-12-01
    “…Besides, postmenopausal women, individuals with high body mass index, and residents in rural and mountainous areas are also at relatively higher risk of osteoarthritis. …”
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  14. 834

    Maternal Circulating Concentrations of Tumor Necrosis Factor-Alpha, Leptin, and Adiponectin in Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis by Jie Xu, Yan Hong Zhao, Yun Ping Chen, Xiao Lei Yuan, Jiao Wang, Hui Zhu, Chun Mei Lu

    Published 2014-01-01
    “…Subgroup analysis taking in consideration the effect of obesity on maternal adipokine levels showed that circulating levels of TNF-α and leptin remained elevated in GDM patients compared to their body mass index (BMI) matched controls, and adiponectin level remained depressed in GDM individuals. …”
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  15. 835

    Exploring the health and service utilisation of general practice patients with a history of adverse childhood experiences (ACEs): an observational study using electronic health rec... by Mark A Bellis, Karen Hughes, Katie Hardcastle, Catherine A Sharp

    Published 2020-09-01
    “…Objectives To examine the relationships between adverse childhood experiences (ACEs), chronic health and health service utilisation among a sample of general practice patients.Design Cross-sectional observational study using anonymised data from electronic health records for 763 patients.Setting Four general practices in northwest England and North Wales.Outcome measures Patient demographic data (age, gender); body mass index; self-reported smoking status; self-reported ACEs; diagnosis of chronic health conditions; current mental health problems; total number of service contacts and repeat medication use in the previous 6 months.Results A history of ACEs (experiencing abuse or neglect as a child, and/or growing up in a household characterised by violence, substance use, mental health problems or criminal behaviour) was strongly independently associated with current mental health problems, smoking and chronic obstructive pulmonary disease, showing a dose–response relationship with level of ACE exposure. …”
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  16. 836

    A nomogram predicting the risk of venous thromboembolism in patients following urologic surgeries by Mengchao Wei, Wenjie Yang, Yi Qiao, Lin Ma, Weifeng Xu, Jie Dong

    Published 2025-01-01
    “…The results suggested that age, history of smoking, D-dimer levels on the first postoperative day, transfusion volume and body mass index (BMI) were identified as significant risk factors for VTE. …”
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  17. 837

    Gestational Weight Gain among Healthy Pregnant Women from Asia in Comparison with Institute of Medicine (IOM) Guidelines-2009: A Systematic Review by Priyanka Arora, Bani Tamber Aeri

    Published 2019-01-01
    “…The findings highlight the need for appropriate GWG limits across the different body mass index levels specifically for Indians and other Asian population. …”
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  18. 838

    Congenital malformations in children of diabetic mothers in the province of Cienfuegos. 2016-2019 by Fanny Arbolay Sanabria, Lázaro Roberto Herrera Fragoso, Maylé Santos Solí, Gladys Bárbara Barberis Pérez, Walkiria Díaz Senra, María Soledad Vilches León

    Published 2024-07-01
    “…The variables maternal age, body mass index, type of diabetes, its treatment, type of malformation, ultrasonographic results of the three trimesters of pregnancy, alpha-fetoprotein study and amniocentesis were studied.…”
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  19. 839

    Concentration of Asprosin Associated with Poor Control of Type 2 Diabetes Mellitus in Diyala Province by Alaa Abed Mahmoud, Walaa Ismael Jassim, Ahmed Abdul Hussein Mohsin, Ahmed M. Senan

    Published 2023-06-01
    “…Non-significant correlation was seen between asprosin and body mass index (BMI) or lipid profile. In conclusion, according to the asprosin level in serum, there was a highly significant difference between patients with type 2 diabetes mellitus and control group. …”
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  20. 840

    An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia. by Junying Wei, Heshan Cao, Mingling Peng, Yinzhou Zhang, Sibei Li, Wuhua Ma, Yuhui Li

    Published 2025-01-01
    “…<h4>Results</h4>A total of 1,894 VAP patients were included, with 12 features ultimately selected for model construction: 24-hour urine output, blood urea nitrogen, age, diastolic blood pressure, platelet count, anion gap, body temperature, bicarbonate level, sodium level, body mass index, and whether combined with congestive heart failure and cerebrovascular disease. …”
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