Long-Term Metabolic Outcomes after Gestational Diabetes Mellitus (GDM): Results from the Odense GDM Follow-Up Study (OGFUS) by Kristine Hovde Jacobsen, Jori Aalders, Katrine Sølling, Marianne Skovsager Andersen, Lena Sønder Snogdal, Maria Hornstrup Christensen, Christina Anne Vinter, Kurt Højlund, Dorte Møller Jensen

“…To compare metabolic profiles and the long-term risk of metabolic dysfunction between women with previous gestational diabetes mellitus (pGDM) and women without pGDM (non-GDM) matched on age, prepregnancy body mass index (BMI), and parity. Methods. In total, 128 women with pGDM (median follow-up: 7.8 years) and 70 non-GDM controls (median follow-up: 10.0 years) completed a 2 h oral glucose tolerance test (OGTT) with assessment of glucose, C-peptide, insulin, and other metabolic measures. …”
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Platelet Counts and Liver Enzymes after Bariatric Surgery by Hans-Erik Johansson, Arvo Haenni, Björn Zethelius

“…Ten morbidly obese patients (body mass index, BMI: 53.5±3.8 kg/m2) who underwent BPD-DS were evaluated preoperatively (baseline) and 1 year (1st followup) and 3 years (2nd followup) after surgery and compared with 21 morbidly obese patients (BMI: 42.3±5.2 kg/m2) who underwent RYGBP. …”
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DETERMINANT FACTORS AFFECTING THE INCIDENCE OF PLACENTA ACCRETA by novita dwihastuti hakim, Dwi Izzati, Ernawati

“…Conclusion: Determinant factors that affect the incidence of placenta accreta in NTB Provincial Hospital in 2022 are mothers with age < 35 years, multigravida, overweight body mass index, mostly with a parity of 3-9 years, without degenerative diseases, all have a history of cesarean section and almost a quarter have a history of other operations on the uterus.…”
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National survey of US primary care physicians’ perspectives about causes of obesity and solutions to improve care by Wendy L Bennett, Sara N Bleich, Kimberly A Gudzune, Lisa A Cooper

“…Objective To describe physician perspectives on the causes of and solutions to obesity care and identify differences in these perspectives by number of years since completion of medical school.Design National cross-sectional online survey from 9 February to 1 March 2011.Setting USA.Participants 500 primary care physicians.Main Measures We evaluated physician perspectives on: (1) causes of obesity, (2) competence in treating obese patients, (3) perspectives on the health professional most qualified to help obese patients lose or maintain weight and (4) solutions for improving obesity care.Results Primary care physicians overwhelmingly supported additional training (such as nutrition counselling) and practice-based changes (such as having scales report body mass index) to help them improve their obesity care. …”
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Comparison of Time to Pregnancy in In Vitro Fertilisation between Endometriosis and Nonendometriosis by Hartanto Bayuaji, Artha Falentin Putri Susilo, Kevin Dominique Tjandraprawira

“…Both groups had similar median age and body mass index at presentation. There was no significant difference in the TTP between endometriosis and nonendometriosis groups (57.7 vs. 70.9 months, p=0.060), further confirmed by a Cox regression test incorporating confounders (IVF protocol (OR: 1.482, 95% CI 0.667–3.292, and p=0.334) and type of the cycle (OR 1.071, 95% CI 0.803–1.430, and p=0.640)). …”
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Nutritional changes in patients undergoing hemodialysis who develop COVID-19 by Kou Kitabayashi, Suguru Yamamoto, Shin Goto

“…COVID-19 was diagnosed using an antigen test, and the subjects were divided into COVID-19 and control groups. Data on body mass index, biochemistry measurements, geriatric nutritional risk index (GNRI), functional oral intake scale, and nutritional intake were collected from medical records. …”
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Getting Better or Worse? General Health Status of 9th Grade Students in Orhangazi, Bursa, Turkey by Zuleyha Alper, Hakan Ozdemir, Yesim Uncu, Alis Ozcakir, Ganime Sadikoglu, Nuran Bayram

“…Data to evaluate students by socioeconomic status, body mass index (BMI), dietary, smoking, and physical activity behaviors and psychological status were collected via classroom questionnaires. …”
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减量雌孕激素替代治疗绝经后妇女的阴道出血模式 by 王文军, 杨冬梓, 谢梅青, 张清学, 王良岸, 周力学, 闫琳丽

“…【方法】自然绝经1 年以上妇女30 例, 连续联合 应用半量诺更宁:1 mg 17β-雌二醇(E2)+0.5 mg 醋酸炔诺酮(NETA)24 周, 观察阴道出血时间、出血量、体质量、体质量指数 (body mass index , BMI)、子宫内膜厚度、用药后症状改善的时间。【结果】用药后阴道出血10 例, 无阴道出血20 例。…”
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The effects of endurance training on the relationships body composition plasma ghrelin and leptin levels by Behic Serpek, Sukran Arıkan

“…It was concluded that endurance trainings did not have significant effects on body weights, PBF and body mass index (BMI) of both men and women experimental groups, but significant increases were observed in VO2max levels  of entire experimental students with applied exercise programs and gender was found to be significant with regard to body weight, PBF and VO2max levels of the students. …”
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The Use of SenseWear Armband for Assessment of Daily Energy Expenditure and the Relation to Body Fat Distribution and Nutritional Intake in Lean Women with Polycystic Ovary Syndrom... by Gulcan Arusoglu

“…To evaluate nutritional intake, energy expenditure, and segmental body composition in lean women with polycystic ovary syndrome (PCOS) and compare them with age- and body mass index- (BMI-) matched control women. Methods. 32 nonobese patients with PCOS and 31 age- and BMI-matched healthy women were included in the study. …”
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Association of Aldosterone and Cortisol with Cardiovascular Risk Factors in Prehypertension Stage by Sadiqa Badar Syed, Masood Anwar Qureshi

“…The anthropometric profiles (height, weight, waist circumference, Body Mass index) and BP recorded. Serum cortisol, aldosterone, total cholesterol, Low density lipoproteins, blood glucose, Na+ and K+, using standard laboratory techniques, were determined in fasting blood samples. …”
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Regional differences in intercohort and intracohort trends in obesity in the USA: evidence from the National Health Interview Survey, 1982–2018 by Emma Zang, Liying Luo, Jiahui Xu

“…We address the knowledge gap by investigating net of age and period trends, how intercohort and intracohort patterns in obesity may depend on Census regions for black and white men and women.Design, setting and participants A total of 1 020 412 non-Hispanic black and white respondents aged 20–69 were included from the 1982–2018 National Health Interview Survey.Outcome measures Obesity is defined as body mass index ≥30 kg/m2 based on participant self-reported weight and height. …”
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Muscle Strength, Physical Activity, and Functional Limitations in Older Adults with Central Obesity by Cassandra M. Germain, John A. Batsis, Elizabeth Vasquez, Douglas R. McQuoid

“…Logistic models were adjusted for age, education, comorbidities, and body-mass index and weighted. Results. Overall prevalence of PL and ADL and IADL limitations were progressively lower by grip category. …”
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Metabolic Syndrome Among People Living With HIV on Dolutegravir and Efavirenz-Based Antiretroviral Therapy in Ethiopia: A Comparative Cross-Sectional Study by Mohammed Jemal MSc, Baye Ashenef MSc, Deresse Sinamaw MSc, Adane Adugna MSc, Mamaru Getinet MSc, Temesgen Baylie MSc, Nuredin Chura Waritu MSc

“…Results The overall prevalence of metabolic syndrome was 18.6% (32/172) for all regimens, with 25.6% (22/86) for the DTG- and 11.6% (10/86) for the EFV-based regimens ( P  = .019). Body mass index ≥ 25 kg/m 2 (adjusted odds ratio [AOR] = 3.04; 95% confidence interval [CI]: 1.13-8.14), CD4 count ≥ 500 cells/mm 3 (AOR = 3.01; 95% CI: 1.09-8.28), insufficient physical activity (AOR = 2.60; 95% CI: 1.00-6.72), and DTG-based regimen (AOR = 2.86; 95% CI: 1.14-7.20) were associated with metabolic syndrome. …”
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Basic Anthropometric Measures in Acute Myocardial Infarction Patients and Individually Sex- and Age-Matched Controls from the General Population by Göran Nilsson, Pär Hedberg, Jerzy Leppert, Andreas Rosenblad, John Ohrvik

“…We compared weight, height, waist and hip circumferences (hip), body mass index (BMI), and waist-to-hip ratio in acute myocardial infarction (MI) patients and individually sex- and age-matched control subjects from the general population in the catchment area of the patients and predicted the risk of MI status by these basic anthropometric measures. …”
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Correlates for the severity of suicidal risk in participants with common mental disorders with comorbid chronic medical conditions in rural primary healthcare settings in India by Johnson-Pradeep Ruben, Maria L. Ekstrand, Elsa Heylen, Krishnamachari Srinivasan

“…Methods and Material: The severity of suicidal risk at baseline was assessed using the Mini International Neuropsychiatric Interview (MINI), and other measures included the severity of depression (Patient Health Questionnaire-9-items (PHQ-9)), the severity of anxiety (Generalized Anxiety Disorder Scale-7-items (GAD-7)), disability, social support, quality of life, number of comorbid chronic medical illnesses, and body mass index (BMI). Statistical Analysis Used: Chi-square tests and independent-samples t-tests were used to compare the demographic and clinical characteristics of the no-low and mod-high suicidal risk groups. …”
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Factors associated with overweight among food handlers in public schools by Thamiris Rodrigues Macedo, Adriana Fernandez Versiani dos Anjos, Luana Caroline dos Santos, Maria Flávia Gazzinelli Bethony, Simone Cardoso Lisboa Pereira

“…Overweight was diagnosed by means of body mass index measurements and was correlated to anthropometric, socioeconomic, health history and food habit variables that were obtained through a semi-structured questionnaire. 274 subjects participated, among whom 99.6% female, mostly married, adult with primary education and per capita income up to the Brazilian national minimum wage were studied. …”
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Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21) by Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar

“…The most effective model identified key determinants of under-five mortality, including breastfeeding status, number of births in the preceding five years, child's gender, birth intervals, antenatal care, birth order, type of water source, and maternal body mass index. Conclusion: Machine learning models provide valuable insights into the determinants of under-five mortality, with the logistic regression model demonstrating superior predictive performance. …”
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The Effect of Hypertension Duration and the Age of Onset on CV Risk Factors Expression in Perimenopausal Women by Ljiljana Trtica Majnarić, Ivo Martinović, Šefket Šabanović, Stjepan Rudan, František Babič, Thomas Wittlinger

“…Among the examined CV risk factors, significant increase in parallel with hypertension duration was found for body mass index (p = 0.007) and triglycerides (p = 0.07). …”
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Cytomegalovirus Infection and Its Relationship with Leukocyte Telomere Length: A Cross-Sectional Study by Zhu Lin, Hongmei Gao, Bing Wang, Yongqiang Wang

“…We further tested if obesity, measured by body mass index (BMI), and smoking could modify this relationship. …”
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