Secular trends of epidemiologic patterns of chronic kidney disease over three decades: an updated analysis of the Global Burden of Disease Study 2019 by Jing Liu, Xue Li, Yongping Liu, Xiaodong Sun, Xiaojin Feng, Ningning Hou, Zhenna Chen

“…Among risk factors, metabolic risk factors, especially systolic blood pressure, fasting plasma glucose and body mass index, were the main contributors to CKD-related deaths. …”
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The Role of Microelements of Lumbar Disc Degeneration in Patients Undergoing Lumbar Spine Surgery by Sadiq R. Karkush, Manal K. Rasheed, Ali T. Abdul Wahid, Ahmed R. Majeed

“…The zinc (Zn) and copper (Cu) levels in the blood were determined using an atomic absorption spectrometer. The body mass index (BMI) was determined using the formula: BMIg/m2 = weight/height2. …”
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Association of arm circumference with the prevalence of gallstones in United States adults: a retrospective analysis on US National Health and Nutrition Examination Survey by Jianjun Wang, Xi Chen, Wei He, Xintao Zeng, Pei Yang, Jianping Gong, Decai Wang

“…Dose–response relationships were evaluated using generalized additive models with smoothed curve fitting, and subgroup analyses were conducted to explore effect modification by key covariates such as age, sex, race, hypertension, diabetes, and body mass index.ResultsOverall, a total of 8,081 participants were included in this study, with 849 reporting a history of GS. …”
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Isotemporal substitution of physical activity patterns and sitting time with obesity indicators among workers in São Paulo by Diego Sales, Gerson Ferrari, João Pedro da Silva Junior, Raiany Rosa Bergamo, Pedro Paulo de Oliveira Moda, Amauri dos Santos, Mauricio dos Santos, Victor Matsudo

“…Obesity indicators included body mass index (BMI; kg/m²), waist circumference (cm), and body fat (kg). …”
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Novel Compound Heterozygous BBS2 and Homozygous MKKS Variants Detected in Chinese Families with Bardet–Biedl Syndrome by Li Huang, Limei Sun, Zhirong Wang, Songshan Li, Chonglin Chen, Xiaoling Luo, Xiaoyan Ding

“…All of the affected family members in family A were overweight with a high body mass index (range from 26.5 to 41.9) and high blood pressure. …”
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Factors Influencing the Pregnancy Outcome of Intrauterine Insemination and Follow-Up Treatment by Xuan Huang, Qin Sun, Xu Tang, Meiling Li, Cheng Zhou, Xi Cheng, Bing Yao, Li Chen

“…Materials and Methods: Female and male age, body mass index (BMI), anti-Müllerian hormone (AMH), male semen parameters before and after wash, endometrial thickness (EMT), artificial insemination timing and ovarian stimulation (OS) protocols were compared between the pregnant group and the non-pregnant group in order to explore any correlation. …”
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Insights into youth nutritional status in Serbia: assessing prevalence and trend in the context of social determinants by Sanja Stanisavljević, Aleksandar Milovanović, Anđela Milovanović, Branko Jakovljević, Vesna Bjegović-Mikanović, Divna Kekuš

“…Results A total of 63.3% of respondents had body mass index (BMI) in the normal weight range, 11.7% were underweight, 18.5% were pre-obese, and 6.2% were obese. …”
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Characterization of diabetic kidney disease in 235 patients: clinical and pathological insights with or without concurrent non-diabetic kidney disease by Mengjie Jiang, Hongyu Chen, Jing Luo, Jinhan Chen, Li Gao, Qin Zhu

“…Multifactorial logistic regression analysis identified independent factors affecting DKD + NDKD, including body mass index, blood creatinine level, microscopic erythrocyte grade, urinary immunoglobulin G/creatinine ratio, and serum immunoglobulin A. …”
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Levels of blood pressure, cardiovascular biomarkers and their correlations in women with previous pre-eclamptic pregnancy within 7 years postpartum: a cross-sectional study in Thai... by Tippawan Liabsuetrakul, Annetine Staff, Jarawee Sukmanee, Penkae Rothmanee, Wilaiwan Sriwimol

“…Eligible women were interviewed, examined for body mass index (BMI) and blood pressure, and donated morning spot urine and blood samples.Primary outcome measures Serum high-sensitivity C reactive protein, creatinine, fasting blood glucose (FBS), glycated haemoglobin (HbA1c), low-density lipoprotein (LDL) cholesterol, urine microalbumin to creatinine ratio (UACR) and sodium were measured. …”
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Predictors of plasma HDL-C concentrations in the Coronary Artery Risk Development in Young Adults (CARDIA) study by James M. Shikany, John R. Bassler, Jared P. Reis, Pamela J. Schreiner, David T. Redden, John T. Wilkins, Cora E. Lewis

“…Other factors were inversely associated with HDL-C concentration longitudinally in both women and men: cigarette smoking, intakes of carbohydrates and total fat, body mass index, and low-density lipoprotein cholesterol and triglyceride concentrations, along with sex-specific associations with HOMA-IR and parity >0 (women only). …”
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Do Strength and Anthropometric Size of the Lower Body Correlate with Serum Testosterone Levels? by Tae Yong Park, Moon Young Choi, Doohwan Kong, Jeong Kyun Yeo, Min Gu Park

“…Materials and Methods: Serum testosterone levels, waist circumference, and body mass index (BMI) were measured in 69 men with erectile dysfunction (age >40 years). …”

Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury by Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan

“…According to the SHAP plots, old age, low Glasgow Coma Scale (GCS) score, high AKI stage, reduced urine output, high Simplified Acute Physiology Score (SAPS II), high respiratory rate, low temperature, low absolute lymphocyte count, high creatinine level, dysnatremia, and low body mass index (BMI) increased the risk of poor prognosis.Conclusions The RF model developed in this study is a good predictor of in-hospital mortality for patients with SA-AKI in the intensive care unit (ICU), which may have potential applications in mortality prediction.…”
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Association between previous consumption of sugar-sweetened beverages and diabetes remission in patients with newly diagnosed type 2 diabetic ketoacidosis by Shanshan Li, Jinying Wang, Junping Zhang, Yun Zou, Yuanyuan Deng, Jixiong Xu

“…Compared with the NDR group, a higher SSBs ratio, body mass index (BMI), and blood creatinine (BCr) was observed in the DR group after adjusting for confounders, SSBs (odds ratio [OR] = 3.503; 95% confidence interval [CI] = 1.334–9.202; p = 0.011) and BCr (OR = 1.038; 95% CI = 1.003–1.079; p = 0.042) emerged as independent predictors of DR. …”
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Composite cardiovascular risk factor control in US adults with diabetes and relation to social determinants of health: The All of Us research program by Frances Golden, Johnathan Tran, Nathan D. Wong

“…We investigated the management of five key cardiovascular risk factors—glycated hemoglobin (HbA1c), LDL cholesterol (LDL-C), body mass index (BMI), blood pressure (BP), and smoking status. …”
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Prevalence of disability in Iranian older adults in Tehran, Iran: A population-based study by Vahid Rashedi, Mohsen Asadi-Lari, Mahshid Foroughan, Ahmad Delbari, Reza Fadayevatan

“…The participants’ mean age was 68.93 years (SD = 7.27) and the participants’ mean of Body Mass Index (BMI) was 26.21 kg/m2 (SD = 4.40). Based on the results, the overall prevalence of disability was 11%. …”
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The Associations of Serum Uric Acid with Obesity-Related Acanthosis nigricans and Related Metabolic Indices by Cuiling Zhu, Ran Cui, Mingming Gao, Sharvan Rampersad, Hui You, Chunjun Sheng, Peng Yang, Hui Sheng, Xiaoyun Cheng, Le Bu, Shen Qu

“…A cross-sectional study with 411 obese patients recruited from our department was analyzed in this study. Weight, body mass index (BMI), UA, lipid profile, liver function, and renal function were measured in all participants. …”
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The Effect of Age on Clinical and Laboratory Parameters in Reproductive Age Women with Endometrial Polyps by Aytekin Tokmak, Ebru Ersoy, Ali Özgür Ersoy, Esra Yaşar Çelik, Ali İrfan Güzel, Mustafa Uğur

“…Thirty seven women older than 40 years of age (study group), and 113 women younger than 40 years (control group) were compared in terms of various clinical and laboratory parameters including age, body mass index (BMI), gravidity, parity, abortion, basal hormone levels, tumor markers, complete blood count values, smoking status, presence of polycystic ovary syndrome (PCOS), infertility status, co-morbidities, and number and size of endometrial polyps. …”
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Serum 25-hydroxyvitamin D level in relation to weight change and the risk of weight gain in adults of normal weight at baseline: the Norwegian HUNT cohort study by Yi-Qian Sun, Yue Chen, Xiao-Mei Mai, Adaline Heitz

“…Objective We sought to investigate the relationship of serum 25-hydroxyvitamin D (25(OH)D) level with weight change and the risk of weight gain in an adult population who had normal weight at baseline and were followed up for 11 years.Design A population-based prospective cohort study.Setting Nord-Trøndelag, Norway.Participants The study included 1501 adults who participated in the second and third surveys of the Nord-Trøndelag Health Study (HUNT2 (1995–1997) and HUNT3 (2006–2008)) and had a normal body mass index ≥18.5 and <25.0 kg/m2 at baseline.Primary and secondary outcome measures Relative weight change (%) was calculated as ((HUNT3 weight−HUNT2 weight)/HUNT2 weight×100). …”
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Effect of Physalis Peruviana Consumption on Blood Glucose in Overweight or Obese Young Adults by Ludeña-Meléndez, Victor, Ishikawa-Arias, Paula, Gutiérrez-Guerrero, Ana, Guevara-Coronel, Cristhian, Laiza-Pajilla, Danna, Ledesma-Chavarria, Leonardo, Fustamante-Rafael, Adrian Jamier, Loyola-Ascate, Estheysi Scarlett, Reyes-Beltrán, Maria Esther Daisy

“…The average age was 21.6 years and the body mass index (BMI) 28.7. Fasting blood samples were taken before the study and weekly for 21 days; in parallel, 50 g of whole P. peruviana fruits were administered daily to the experimental group. …”
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The efficacy and safety of rhGH treatment combined with letrozole/GnRHa in adolescent boys by Ying Zhang, Xin Yuan, Kenneth McCormick, Xiao-Hong Yang, Shi-Jun Chen, Rui-Min Chen

“…There was a significant body mass index (BMI) SDS increase in the letrozole vs. …”
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