Association of the Preoperative Controlling Nutritional Status (CONUT) Score with Clinicopathological Characteristics in Patients with Papillary Thyroid Carcinoma by Doohwa Kim, Myungsoo Im, Soree Ryang, Mijin Kim, Yun Kyung Jeon, Sang Soo Kim, Bo Hyun Kim

“…Based on the CONUT score, the relatively high score group had a lower body mass index (23.7±3.3 kg/m2 vs. 21.9±2.9 kg/m2, P<0.001), more advanced T stage (T stage 3/4, 5.9% vs. 11.4%, P=0.045), and higher extrathyroidal extension (2.1% vs. 7.6%, P=0.005). …”
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Prevalence and association of non-alcoholic fatty liver disease and insulin resistance among non-diabetic obese, overweight, and metabolically obese normal-weight adult patients at... by Samik Pramanik, Jimmy Barua, Lokanathan V, Sharmistha Roy

“…The prevalence of NAFLD among overweight, MONW, and normal body mass index (BMI) were 17.8%, 19.2%, and 6.8%, respectively. …”
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Relationship between caries indexes and obesity in a sample of Puerto Rican adolescents by Lydia M. Lopez del Valle, Mariely Nieves-Plaza, Sona Rivas-Tumanyan, Rosana Hanke-Herrero

“…Each participant received dental exams for caries using the criteria of the International Caries Detection and Assessment System (ICDAS), had his or her body mass index (BMI) determined, and took a 19-item risk factor questionnaire. …”
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Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China by Qingqing Liu, Jie Yuan, Maerjiaen Bakeyi, Jie Li, Zilong Zhang, Xiaohong Yang, Fangming Gao

“…Six independent risk factors of T2DM were identified and entered into the nomogram including age, body mass index, fasting plasma glucose, total cholesterol, triglycerides, and family history. …”
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Shiftwork and insulin resistance in professional drivers: exploring the association using non-insulin-based surrogate measures by Mirella Youssef Tawfik, Shaimaa A. A. M. Amer, Ahmed Mahmoud Fouad

“…Laboratory and NIRS data included: triglyceride glucose (TyG), triglyceride glucose-body mass index (TyG-BMI), triglyceride to high density lipoprotein cholesterol (TG/HDL-C), and metabolic score of insulin resistance (METS-IR). …”
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Can fecal calprotectin be used as a biomarker of non-alcoholic fatty liver disease in obese adolescents? by Büşra Tetik Dinçer, Ayşe Merve Usta, Alev Kural, Nazlı Helvacı, Ahmet Uçar, Nafiye Urgancı

“…Methods Between November 2022-August 2023, 31 obese and 10 healthy adolescents aged between 10 and 18 years enrolled in this prospective controlled study. Body mass index higher than 2 standard deviation is considered as obesity. …”
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Circulating CTRP1 Levels in Type 2 Diabetes and Their Association with FGF21 by Sora Han, Jong Dai Kim, Sunyi Lee, Ae Lee Jeong, Jeong Su Park, Hyo Jeong Yong, Ariundavaa Boldbaatar, Hye In Ka, Eun-Jung Rhee, Won-Young Lee, Young Yang

“…Sera analysis revealed that CTRP1 was positively correlated with age, body mass index, fasting blood glucose, and circulating FGF21 levels. …”
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The association between consumption of ultra-processed foods and sperm quality parameters: a cross-sectional study by Mitra Soltani, Mohammad Reza Ahmadi, Zainab Shateri, Zahra Maghsoudi, Milad Rajabzadeh-Dehkordi, Moein Askarpour, Amir Hossein Asadi, Mehran Nouri

“…However, after adjusting for age, marriage duration, body mass index, physical activity, depression, anxiety, stress, energy intake, cigarette history, and mineral and vitamin supplements, a significantly higher association was identified between the second tertile of UPFs and abnormalities in sperm concentration (odds ratio (OR) = 3.962, 95% confidence interval (CI): 1.345–11.670, p = 0.013). …”
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Differences in prevalence and associated factors of underweight and overweight/obesity according to rural–urban residence strata among women of reproductive age in Bangladesh: evid... by Rajat Das Gupta, Mohammad Rashidul Hashan, Gulam Muhammed Al Kibria, Brendan Day

“…Objectives This study aimed to investigate the differences in prevalence and factors influencing underweight and overweight/obesity stratified by region of residence among women of reproductive age in Bangladesh.Design Secondary analysis of cross-sectional nationwide data.Setting This study used Bangladesh Demographic and Health Survey 2014 data.Participants A weighted sample of 16 478 women of reproductive age (15–49 years) were included in the analysis.Primary and secondary outcome measures Using the Asian-specific cut-off for body mass index, the primary outcome of this study was categorised as: underweight (&lt;18.5 kg/m2), normal weight (18.5 to &lt;23.0) kg/m2 and overweight/obese (≥23.0 kg/m2) stratified according to rural–urban residence.Results More than half of urban women (53%, n=2493) and one-third of rural women (33%, n=3968) were found to be overweight/obese. …”
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The Association between Antihypertensive Medication Use and Blood Pressure Is Influenced by Obesity by Jash S. Parikh, Arshdeep K. Randhawa, Sean Wharton, Heather Edgell, Jennifer L. Kuk

“…We examined whether BP attained when using various antihypertensive medications varies amongst different body mass index (BMI) categories and whether antihypertensive medication use is associated with differences in other metabolic risk factors, independent of BMI. …”
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Socio-Demographic and Preoperative Clinical Factors Associated With 5-Year Weight Trajectories After Roux-en-Y Gastric Bypass and Sleeve Gastrectomy by Sahil Patel, MD, Chen Jiang, PhD, Brandon Cowan, MD, Jie Yin, MS, Catherine Schaefer, PhD, Sanjoy Dutta, MD, Rouzbeh Mostaedi, MD, Hélène Choquet, PhD

“…We then evaluated whether age, sex, race/ethnicity, neighborhood deprivation index and preoperative body mass index (BMI)/weight loss, diabetes, hypertension, and sleep apnea contributed to postoperative %TBWL using logistic regression models. …”
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Association between systemic immune inflammation index and cataract incidence from 2005 to 2008 by Xiang Li, Guo-lei Du, Shi-Nan Wu, Yi-qing Sun, Si-Qi Zhang, Zhi-Jie Zhang, Jia-feng Tang

“…Covariates included age, race/ethnicity, gender, education level, marital status, Body Mass Index (BMI), smoking, alcohol consumption, hypertension, hyperlipidemia, and diabetes. …”
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Translation of a Diabetes Remission Service into Australian Primary Care: Findings from the Evaluation of DiRECT-Australia by Ritesh Chimoriya, Kimberly Mitlehner, Chee L. Khoo, Uchechukwu Levi Osuagwu, Russell Thomson, Lei Si, Michael Lean, David Simmons, Milan K. Piya

“…Eligible participants were aged 20–70 years, noninsulin treated, with T2DM of ≤6 years’ duration, and body mass index BMI≥27 kg/m2. Total diet replacement of 825-853 kcal/day using meal replacements was implemented for 12 weeks, followed by an ongoing structured program until 52 weeks, with regular follow-up with a general practitioner, dietitian, and/or practice nurse. …”
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Effect of increased protein intake before pre-event on muscle fatigue development and recovery in female athletes by Taghread Ahmed Elsayed Ahmed, Heba Ali Ibrahim Seleem, Ghada Mohamed Youssef Elsayed, Marwa Ahmed Fadl Kholif, Rania Mohammed Abduljawad, Nour Taha Ebrahem Housen, Naglaa Mohamed Roby Sofy, Hager Abdel Hady

“…The study was conducted on 20 female basketball players (age: 16.65 ± 0.47 years; body height: 165.42 ± 3.09 cm; body mass: 59.68 ± 3.63 kg; training age: 2.44 ± 0.56 years). …”
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Socioeconomic disparity in stage at cancer diagnosis among patients with type 2 diabetes in Dutch primary care: a cross-sectional study by Geertruida H De Bock, Gijs W D Landman, Nanne Kleefstra, Bert van der Vegt, Sabine Siesling, Klaas H Groenier, Jing de Haan-Du

“…Logistic regression was performed, with stratification by sex and correction for age, body mass index, smoking, diabetes duration, glycaemic control and metformin use. …”
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Preoperative Assessment of Patients Undergoing Bariatric Sleeve Gastrectomy: A Cross-Sectional Study by M. R. Tawfik, N. F. Aldawas, N. S. Almegbil, A. A. Bin Hamad, A. N. Alanazi, A. M. Alaidaroos, T. M. AlRawaf, A. A. Fayed

“…Data extraction from medical records included clinical data such as body mass index (BMI), gastrointestinal symptoms (that include heartburn, regurgitation, epigastric pain, and nausea), medical comorbidities, and laboratory investigations. …”
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The comparison of dexmedetomidine and midazolam used for sedation of patients during upper endoscopy: A prospective, randomized study by Yavuz Demiraran, Esin Korkut, Ali Tamer, Ilknur Yorulmaz, Buket Kocaman, Gulbin Sezen, Yusuf Akcan

“…The two groups were similar with regard to age, body mass index, sex, education, duration of endoscopy, and ethanol or tobacco use. …”
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Conducting clinical trials with self-collection of pharmacokinetic samples: Experience from an exploratory, phase 1, open-label trial of centanafadine SR in healthy individuals by Chelsea Ye, Tatiana Shablinski, Susan E. Shoaf, Chris Chung, Michelle Bullock

“…Methods: Healthy adults (18–55 years) with a body mass index of 19.0–32.0 kg/m2 were enrolled. The trial comprised a screening period, 2 clinic visits (visits 1, 2), 2 at-home visits (visits 3 and 4), and follow-up clinic visit (visit 5). …”
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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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Efficacy in Japanese adults with growth hormone deficiency receiving weekly somapacitan or daily growth hormone: results from phase 3 REAL 1 trial by Fumio Otsuka, Michael Højby Rasmussen, Takaaki Endo, Claus Sværke, Shigeyuki Tahara, Gudmundur Johannsson

“…Other body composition measures also improved in both groups, including reduced visceral fat and increased lean body mass. Somapacitan was well tolerated, with a safety profile similar to daily GH.ConclusionsIn Japanese treatment-naïve individuals with AGHD, once-weekly somapacitan demonstrated similar efficacy and safety to daily GH after 34 weeks of treatment. …”
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