Association between cardiovascular health and osteoporotic fractures: a national population-based study by Jun Ou, Tingting Wang, Ridan Lei, Mengting Sun, Xiaorui Ruan, Jianhui Wei, Jiabi Qin

“…CVH was assessed using the LE8 score, which incorporates eight modifiable cardiovascular health metrics: diet, physical activity, tobacco use, sleep, body mass index (BMI), lipid levels, blood glucose, and blood pressure. …”
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Relationship between CCL25/CCR9 Levels in Follicular Fluid and High Ovarian Response in Patients with Polycystic Ovary Syndrome by Yongxin Hao, Qianqian Yin, Fangfang Hu, Xiaoyan Liu, Yaru Yang, Fang Sun, Xiaonan Yan

“…Results. The age and body mass index (BMI) variances across the two groups did not differ significantly. …”
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Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study by Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi

“…The predictive abilities of 58 candidates including fatty liver index (FLI), which is calculated by using body mass index, waist circumference and levels of γ-glutamyl transferase and triglycerides, were investigated by statistics analogous to the area under the curve (AUC) in receiver operating characteristic curve analyses using ML models including logistic regression, random forest, naïve Bayes, extreme gradient boosting and artificial neural network.Results During a 10-year period (mean period: 6.1 years), 2,132 subjects (19.1%) in the training group and 917 subjects (19.1%) in the test group had new onset of hypertension. …”
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Neutrophil-to-lymphocyte, platelet-to-lymphocyte ratios and systemic immune-inflammation index in patients with post-traumatic stress disorder by Gözde Yontar, Elif Aktan Mutlu

“…Patients who smoked more than fifteen cigarettes per day and had a body mass index > 30 were also excluded. SII is calculated as follows; SII = platelet count x neutrophil count / lymphocyte count. …”
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Insulin Sensitivity and Beta-Cell Function Are Associated with Arterial Stiffness in Individuals without Hypertension by Chuchen Meng, Min Sun, Zhixiao Wang, Qi Fu, Mengdie Cao, Zhenxin Zhu, Jia Mao, Yun Shi, Wei Tang, Xiaoping Huang, Yu Duan, Tao Yang

“…We recruited 3137 nondiabetic individuals whose age, body mass index (BMI), glucose levels, blood pressure (BP), lipids, hemoglobin A1C (HbA1c), baPWV, and insulin levels were measured. …”
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Effects of the MyBFF@school program on anthropometry and body composition among overweight and obese adolescent schoolchildren by Nur Zati Iwani Ahmad Kamil, Abdul Halim Mokhtar, Abqariyah Yahya, Fuziah Md. Zain, Rusidah Selamat, Zahari Ishak, Muhammad Yazid Jalaludin

“…The primary outcomes presented in this study were body mass index adjusted for age (BMI z-score), waist circumference (WC), percentage body fat (PBF) and skeletal muscle mass (SMM), measured at baseline, three and six months. …”
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Association between early dietary patterns and cardiometabolic health at age 8: a confirmatory analysis of the European Childhood Obesity Project by Mariona Gispert-Llauradó, Joaquin Escribano, Natalia Ferré, Veit Grote, Berthold Koletzko, Gina Ambrosini, Elvira Verduci, Dariusz Gruszfeld, Annick Xhonneux, Veronica Luque

“…A cross-sectional and prospective analysis was conducted to evaluate the associations between these DPs and cardiometabolic outcomes, including body mass index (BMI), blood pressure (BP), and biochemical markers. …”
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Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19 by Catharine I. Paules, Jacqueline A. Nordwall, Kathryn Shaw-Saliba, Judith A. Aberg, Edward M. Gardner, Anna L. Goodman, N. Kumarasamy, Shikha Vasudeva, David M. Vock, Crystal M. North, Jens Lundgren, Neil R. Aggarwal, for the STRIVE Network and TICO Trial Study Group

“…Persistent and new lymphopenia were associated with older age, male sex; prior immunosuppression, heart failure, aspirin use, and normal body mass index; biomarkers of organ damage (renal and lung), and ineffective immune response (elevated IL-6 and viral nucleocapsid antigen levels). …”
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Prevalence of piriformis syndrome and its associated risk factors among university students in Pakistan: a cross-sectional study by Hassan N Moafa, Nusrat Batool, Naila Azam, Azka Hafeez, Humaira Mehmood, Nimbal Imtiaz, Waqas A Shehzad, Asaad Saleem Malik, Ajiad Alhazmi, Manal Almalki, Almutasim B Moafa, Jobran M Moshi

“…Secondary outcome measures included the severity of PS.Results Of the total, 119 (62.6%) were female, 114 (60.0%) were between 22 and 25 years old, and 125 (65.8%) had standard body mass index. The prevalence of PS was (61.1%), whereas half suffered from severe PS, and the remaining half had mild and moderate PS. …”
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The value of bioimpedance analysis in the assessment of hydration and nutritional status in children on chronic peritoneal dialysis by Wei Yuan, Minghui Yu, Zhiqing Zhang, Qianfan Miao, Jiaojiao Liu, Hui Zhang, Qing Zhou, Jing Chen, Yihui Zhai, Xiaoyan Fang, Hong Xu, Qian Shen

“…Patients with LTI > 12% had significantly higher body mass index (BMI) and BMI z score (BMIz). Canonical correlation analysis indicated a linear relationship (ρ = 0.708) between BIA-BCM hydration and the clinical hydration indicator and a linear relationship (ρ = 0.995) between the BIA-BCM nutritional indicator and the clinical nutritional indicator. …”
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Association between gut microbiota and short-chain fatty acids in children with obesity by Shihan Li, Xinyu Ma, Hong Mei, Xuening Chang, Peiling He, Lingli Sun, Han Xiao, Shiqiong Wang, Ruizhen Li

“…This case–control study recruited children aged 7‒14 years and divided them into a normal group (NG) and an obese group (OG) based on their body mass index. Whole-genome shotgun metagenomic analysis was performed on fecal samples from the OG and NG groups to characterize the signatures and functional potential of the gut microbiota. …”
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Relationship between albumin-corrected anion gap and lumbar spine bone mineral density: a cross-sectional study by Aiguo Liu, Aiguo Liu, Ting Ying, Shuang Deng, Chenxu Wang, Chenxu Wang, Ziwen Zhao, Sitong Zhang, Han Xiao, Chengqing Yi, Dejian Li

“…Demographic and clinical characteristics were analyzed, including age, sex, education level, body mass index (BMI), and prevalence of diabetes and hypertension. …”
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The association Malnutrition-Inflammation Score with chronic kidney disease-associated pruritus and quality of life in hemodialysis patients: a multicenter cross-sectional study by Hossein Bavi Behbahani, Meysam Alipour, Ahmad Zare Javid, Hamidreza Razmi, Pardis Tofighzadeh, Fatemeh Fayazfar, Sara Keramatzadeh, Shiva Shokri, Haleh Soltaniyan Dehkordi, Kian Khosravi, Siavash Babajafari Esfandabad, Shokouh Shayanpour

“…Anthropometric indices, body mass index (BMI), biochemical parameters, and adequacy of dialysis (Kt/V) were also measured in all patients. …”
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Pediatric endoscopic retrograde pancreatography expertise in chronic pancreatitis: a single-center analysis by Hongxi Guo, Juan Luo, Hu Yang, Jun Yang, Hongqiang Bian, Xufei Duan, Xin Wang

“…The annual frequency of pancreatitis episodes showed a significant reduction, decreasing from 2.4 times pre-treatment to 0.6 times post-treatment (P < 0.05). Body mass index (BMI) also showed a significant improvement post-treatment compared to pre-treatment (P < 0.05).ConclusionsERP performed by trained endoscopists utilizing standard adult endoscopes and accessories proved a safe and effective treatment option for pediatric CP, with complication rates comparable to those reported in adult cases.…”
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A Comparison of Medial-congruent, Ultracongruent, and Cruciate-retaining Bearings Using a Single Cruciate-retaining Total Knee Design by Alexander V. Strait, MS, Eric J. Wilson, MD, Henry Ho, MS, Kevin B. Fricka, MD, Robert A. Sershon, MD

“…MC subjects were older (MC = 67.5 vs UC = 65.3 vs CR = 66.7 years; P < .001), had lower body mass index (MC = 32.4 vs UC = 33.1 vs CR = 33.2 kg/m2; P = .04), and had shorter mean follow-up (MC = 1.2 vs UC = 2.4 vs CR = 2.9 years; P < .001). …”
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Magnitude of Episiotomy and Associated Factors among Mothers Who Give Birth in Arba Minch General Hospital, Southern Ethiopia: Observation-Based Cross-Sectional Study by Kassahun Fikadu, Negussie Boti, Birtukan Tadesse, Dureti Mesele, Emenet Aschenaki, Etenesh Toka, Fistum Arega, Tsehaynesh Girma, Abebech Paulos

“…Women who attended secondary education [AOR=10.24, 95%CI=2.81‐37.34], women who attended college and above [AOR=4.61, 95%CI=1.27‐16.71], birth weight≥3000 g [AOR=4.84, 95%CI=2.66‐8.82], primipara [AOR=4.13, 95%CI=2.40‐7.12], being housewife occupants [AOR=3.43, 95%CI=1.20‐9.98], married women [AOR=2.86, 95%CI=1.40‐5.84], and body mass index<25 kg/m2 [AOR=2.85, 95%CI=1.50‐5.44] were independent variables found to have significant association with episiotomy. …”
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Affective valence predictors from real-world based short sprint interval training by Stefano Benítez-Flores, Flávio A. de S. Castro, Eduardo Caldas Costa, Daniel Boullosa, Todd A. Astorino

“…Seventeen (7 women/10 men) moderately active young adults (age ​= ​[28.2 ​± ​5.6] years; V˙O2max [maximum oxygen consumption] ​= ​[52.9 ​± ​8.1] mL·kg−1·min−1; BMI [body mass index] ​= ​[24 ​± ​2] kg·m−2) completed four low-volume running sSIT sessions (10 ​× ​4 ​s efforts with 30 ​s of passive recovery). …”
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Analysis of serum levels and DNA methylation of fibroblast growth factor 21 using peripheral blood-derived genomes in patients with obesity by Hiroyuki Shinozaki, Shiori Kawai, Mami Gamo-Kawasaki, Ayano Takei, Kyoko Tsujikado, Kazunori Fukuda, Mototaka Yamauchi, Kenji Hara, Takafumi Tsuchiya, Kohzo Takebayashi, Koshi Hashimoto

“…However, changes in serum FGF21 levels following PM administration did not correlate with the FGF21 DNA methylation rate, except at one CpG site. The body mass index (BMI) and serum TG levels positively correlated with the FGF21 DNA methylation rate, particularly at different CpG positions. …”
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Corneal nerve abnormalities in early-stage diabetic retinopathy evaluated by corneal confocal microscopy by Yi Zhou, Xiangchen Li, Suhan Shi, Ziwei Guo, Beibei Shan, Linlin Xu, Yixiao Li, Jianxin Guo

“…We collected the clinical data (gender, age, body mass index), laboratory indicators (fasting blood glucose, glycosylated hemoglobin), and confocal laser scanning microscopy images for further analysis. …”
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Cardiometabolic Risk in Hyperlipidemic Men and Women by Michael Leutner, Christian Göbl, Alice Wielandner, Eleonora Howorka, Marlies Prünner, Latife Bozkurt, Jürgen Harreiter, Helmut Prosch, Oliver Schlager, Silvia Charwat-Resl, Alexandra Kautzky-Willer

“…HL-women were older and had overall more favourable concentrations of lipid parameters and liver enzymes but did not differ regarding vascular morphology and insulin sensitivity compared to HL-men of comparable body mass index (BMI).…”
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