Association of nonalcoholic fatty liver disease and growth hormone deficiency: a systematic review and meta-analysis by Tingting Kong, Yunpeng Gu, Lei Sun, Run Zhou, Jie Li, Junping Shi

“…The risk of NAFLD in GHD patients was significantly higher than that in controls (age-, sex- or body mass index-matched, without GHD) (pooled OR = 4.27, 95% CI: 1.33–13.68%, p = 0.015). …”
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Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes by Chanwoo Park, Nan Jiang, Taesung Park

“…Since prediction models include some heritable traits, such as body mass index, the contribution of SNPs using unmatched case-control samples may be underestimated. …”
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Overweight and Obesity, Body Fat, Waist Circumference, and Anemia in Peruvian University Students: A Cross-Sectional Study by Ruth B. Quiliche Castañeda, Josué Turpo-Chaparro, Jesús Hanco Torres, Jacksaint Saintila, Percy G. Ruiz Mamani

“…The objective of this study was to determine the body mass index (BMI), body fat percentage (% BF), waist circumference (WC), and anemia in university students. …”
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Sympathovagal Imbalance in Prehypertensive Offspring of Two Parents versus One Parent Hypertensive by G. K. Pal, Pravati Pal, Nivedita Nanda, V. Lalitha, T. K. Dutta, C. Adithan

“…Though prehypertension has strong familial predisposition, difference in pathophysiological mechanisms in its genesis in offspring of both parents and single parent hypertensive have not been elucidated. Methods. Body mass index (BMI), waist-hip ratio (WHR), basal heart rate (BHR), blood pressure (BP), HR and BP response to standing, deep breathing difference, BP response to handgrip and spectral indices of heart rate variability (HRV) were analyzed in normotensive offspring of two parents hypertensive (Group I), normotensive offspring of one parent hypertensive (Group II), prehypertensive offspring of two parents hypertensive (Group III) and prehypertensive offspring of one parent hypertensive (Group IV). …”
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Prevalence of Cardiovascular Risk Factors in the Population of the Area I in the Municipality of Cienfuegos by Hilda María Delgado Acosta, Karelis Lastre Navarro, María Lina Valdés Gómez, Mikhail Benet Rodríguez, Alain Morejón Giraldoni

“…A survey with the following variables was applied: age, sex, marital status, skin color, history of hypertension and diabetes mellitus, smoking, physical activity, food intake (fruits, vegetables and fat), body mass index and waist circumference.<br /> <strong>Results:</strong> 35-44-year age group and female sex predominated, as well as white married individuals. …”
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The relationship of physical activity and diet with obesity in State Junior High School 4 students in Malang City by Syifa Ethika Juanda, Roesdiyanto Roesdiyanto, Kurniati Rahayuni, Prisca Widiawati

“…This study used a quantitative method, namely measuring height and weight in order to obtain a body mass index as a guideline for obesity classification. …”
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A Correlation of Alarin with Some Anthropometric Measurements in Iraqi Type II Diabetic Patients by Russell S. A. Al-Shaabani, Shakir F. T. Alaaraj

“…Results: Serum alarin (ng/mL) was higher in DM patients than in HCs (P < 0.0001), body mass index (BMI) was significantly higher in patients with T2DM, in addition, FSG) mg/dL (was higher in T2DM than HCs. …”
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Lifestyle Characteristics and Gastroesophageal Reflux Disease: A Population-Based Study in Albania by Lulzim Çela, Bledar Kraja, Kliti Hoti, Ervin Toçi, Herion Muja, Enver Roshi, Genc Burazeri

“…Covariates included socioeconomic characteristics, lifestyle factors, and body mass index. Logistic regression was used to assess the association of socioeconomic characteristics and lifestyle factors with GERD. …”
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A Data Mining Approach Identified Salivary Biomarkers That Discriminate between Two Obesity Measures by Ping Shi, J. Max Goodson

“…Obesity was defined either by the waist circumference (OBW) or by the body mass index (BMI) (OBWHO). We identified C-reactive protein (CRP), insulin, leptin, adiponectin, as salivary biomarkers associated with OBW, plus a clinical feature fitness level. …”
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Total Body Fat Content versus BMI in 4-Year-Old Healthy Swedish Children by Elisabet Forsum, Eva Flinke Carlsson, Hanna Henriksson, Pontus Henriksson, Marie Löf

“…Childhood overweight and obesity, a worldwide problem, is generally identified using BMI (body mass index). However, this application of BMI has been little investigated in children below 5 years of age due to a lack of appropriate methods to assess body composition. …”
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Insights into the systemic risk factors associated with diabetic retinopathy in the Indian population: A comprehensive systematic review and meta-analysis by KT Muhammed Favas, Mamidi Niveditha, Beema T Yoosuf, Manideep Bhukya, Parul Chawla Gupta, Pinaki Dutta, Dipika Bansal

“…Being male (OR: 1.38, 95% CI: 1.11–1.72), intake of insulin (OR: 2.05, 95% CI: 1.02–4.14), higher HbA1c levels (MD: 0.50, 95% CI: 0.06–0.94), higher random (MD: 0.32, 95% CI: 0.10–0.55), and fasting blood glucose levels (MD: 0.51, 95% CI: 0.10–0.93) were found to be significantly associated with increased risks of DR among diabetic patients, while age, body mass index, hypertension, lipid profile, and smoking status did not indicate any association with DR. …”
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Prevalence of overweight/obesity and its association with fast food consumption among adolescents in Southern Ethiopia, 2022: a community-based cross-sectional study by Chernet Elias, Awoke Abraham, Chernet Asrat, Tagese Yakob, Daniel Girma

“…Overweight and obesity are body mass index (BMI) for age Z-score &gt; +1SD and &gt; +2SD, respectively. …”
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Clinical and Biochemical Features Used to Classify Type-1 and Type-2 Diabetes: A Scoping Review by Ulagamadesan Venkatesan, Anandakumar Amutha, Ranjit Mohan Anjana, Ranjit Unnikrishnan, Bagavandas Mappillairajan, Viswanathan Mohan

“…Clinical parameters including family history of diabetes, age at diagnosis, sex, history of insulin use, percent desirable weight or body mass index, waist, and blood pressure emerge as pivotal diagnostic tools. …”
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Randomized controlled trial comparing quadratus Lumborum Block and Surgical Site Infiltration in Total Abdominal Hysterectomy: Efficacy Analysis by Sangeeta Dhanger, R L Jayavani, Bhavani Vaidiyanathan, Idhuyya Joseph Rajesh

“…Results: Both the groups were comparable in terms of age, body mass index, American Society of Anesthesiologists grade, and duration of surgery. …”
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Hypertension Prevalence, Awareness, Treatment and Control, and Associated Factors: Results from a National Survey, Jordan by H. Y. Jaddou, A. M. Batieha, Y. S. Khader, A. H. Kanaan, M. S. El-Khateeb, K. M. Ajlouni

“…Awareness was positively associated with age, smoking, and diabetes for both men and women, and with level of education and body mass index for men. Rate of treatment for HTN among aware patients was 63.3% and was significantly higher than the 52.8% rate reported in period1. …”
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Sauna-Induced Body Mass Loss in Young Sedentary Women and Men by Robert Podstawski, Tomasz Boraczyński, Michał Boraczyński, Dariusz Choszcz, Stefan Mańkowski, Piotr Markowski

“…The aim of the study was to evaluate the relationship between body mass index (BMI) and body mass loss (BML) induced by thermal stress in a dry sauna. …”
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Prevalence and associated factors of acute gastroenteritis in children and adolescents aged from 6 to 17 years old: a cross-sectional study based on the National Health and Nutriti... by Hailun Cai, Yanyan Shao, Weihao Yu

“…The decreasing trend was observed in all subgroups, including age, gender, body mass index (BMI), education level, poverty index and eating food at the restaurant. …”
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Association between Obesity and Asthma in Preschool Mexican Children by Francisco Vázquez-Nava, Jaime Morales Romero, Arturo Córdova-Fernandez, Atenógenes H. Saldívar-González, Carlos F. Vázquez-Rodríguez, Maria del C. Barrientos-Gómez, Dolores Lin-Ochoa, Rodríguez Eliza M. Vázquez

“…Diagnosis of asthma was performed using the International Study of Asthma and Allergy in Childhood (ISAAC) questionnaire. The body mass index (BMI) in units of kg/m2 was determined, and children were categorized according to age- and gender-specific criteria, such as normal weight (5th-85th percentile), overweight (ࣙ85th and <95th percentile), and obesity (ࣙ95th percentile). …”
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Comparison of Predictive Equations for Resting Energy Expenditure in Overweight and Obese Adults by Erick Prado de Oliveira, Fábio Lera Orsatti, Okesley Teixeira, Nailza Maestá, Roberto Carlos Burini

“…The persons had a body mass index ≥25 kg/m2. …”
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Développement physique et psychologique de gymnastes féminines prépubères by Mireille Bernard, Martine Beaussant, Fany Perroy

“…G1 training load is 11,9 ± 4,4 hours/week. Body mass index (BMI) of both groups are similar (17,0 ± 1,3 kg/m2) but G1 fat mass is lower. …”
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