Showing 281 - 300 results of 422 for search 'women’s body mass index', query time: 0.08s Refine Results
  1. 281

    Laparoscopic Versus Abdominal Myomectomy Postoperative Outcomes by Nicel Taşdemir, Cem Çelik, Remzi Abalı, Ayşegül Kayalı, Abdulaziz Gül, Özkan Özdamar

    Published 2014-04-01
    “…Patients enrolled into the study were compared according to the age, body weight, height, body mass indexes (BMI), the number of the myomas, and operation time. …”
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  2. 282
  3. 283

    Risk Factors for Excessive Gestational Weight Gain in a Healthy, Nulliparous Cohort by Antonia Restall, Rennae S. Taylor, John M. D. Thompson, Deralie Flower, Gustaaf A. Dekker, Louise C. Kenny, Lucilla Poston, Lesley M. E. McCowan

    Published 2014-01-01
    “…Participants in the SCOPE study were classified into GWG categories (“not excessive” versus “excessive”) based on pregravid body mass index (BMI) using 2009 Institute of Medicine (IOM) guidelines. …”
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  4. 284

    Changes in Vitamin D Status in Overweight Middle-Aged Adults with or without Impaired Glucose Metabolism in Two Consecutive Nordic Summers by Petra Lundström, Kenneth Caidahl, Maria J. Eriksson, Tomas Fritz, Anna Krook, Juleen R. Zierath, Anette Rickenlund

    Published 2019-01-01
    “…Therefore, we investigated 25[OH]D status before and after two consecutive summers in high latitude and its associations with body fat, sex, and glucose metabolism. Methods. 158 participants from Sweden (87 women, 71 men; mean age, 60 ± 5 y; body mass index ≥ 25 kg/m2) and 25[OH]D were measured and evaluated in relation to normal or impaired glucose tolerance, body composition, and dietary habits during summer season. …”
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  5. 285

    Dietary antioxidant consumption and the risk of type 2 diabetes in South Korean adults: a prospective cohort study based on the Health Examinees study by Sangah Shin, Li-Juan Tan, Su Bin Hwang, Shinyoung Jun, Hyojee Joung

    Published 2022-07-01
    “…Stratified analyses according to age and body mass index (BMI) showed that dietary total flavonoid consumption and total antioxidant capacity had a negative association with the development of T2D in women aged >52 years and women with BMI >25 kg/m2.Conclusions Dietary flavonoid consumption and total antioxidant capacity were associated with a lower risk of T2D in South Korean adults, especially in women aged >52 years and overweight. …”
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  6. 286

    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

    Published 2025-01-01
    “…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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  7. 287

    A Prospective Clinical Study on the Correlation between Hamstring Graft Size and Anthropometric Parameters in Indian Population by Sandeep Pangavane, Ashutosh Ushir, Vaibhav Pawar, Devesh Asrani, Krishna Anerao, Jay Gujarati, Makarand Surwase, Ajinkya Mohite

    Published 2024-01-01
    “…Preoperatively, we recorded age, gender, height, weight, and body mass index (BMI). Intraoperative measurements of the final diameter of the graft using sizing tubes calibrated to 1 mm and length of tendon harvested were taken. …”
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  8. 288

    Elevated Serum C-Reactive Protein and Markers of Sleep Disordered Breathing by R. Constance Wiener, Rouxin Zhang, Anoop Shankar

    Published 2012-01-01
    “…The additive score was not associated in men but moderately associated in women in a multivariable model adjusting for age, gender, race/ethnicity, education, smoking, hypertension, alcohol intake, physical activity, body mass index, depression, diabetes, hypertension, and total cholesterol (P-interaction =0.42). …”
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  9. 289
  10. 290

    Relationship between Maternal Central Obesity and the Risk of Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis of Cohort Studies by Da Yao, Qing Chang, Qi-Jun Wu, Shan-Yan Gao, Huan Zhao, Ya-Shu Liu, Yu-Ting Jiang, Yu-Hong Zhao

    Published 2020-01-01
    “…Objective. Nowadays, body mass index (BMI) is used to evaluate the risk stratification of obesity-related pregnancy complications in clinics. …”
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  11. 291

    Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

    Published 2025-01-01
    “…Result After feature selection analysis and assessing multicollinearity, six factors (Mid-arm Circumference (MAC), Waist Circumference (WC), Body Roundness Index (BRI), Body Adiposity Index (BAI), Body Mass Index (BMI), age) were used in the final model. …”
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  12. 292
  13. 293

    Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study by Ataklti Gebertsadik Woldegebriel, Kiros Ajemu Fenta, Asfawosen Berhe Aregay, Abraham Desta Aregay, Nega Bezabih Mamo, Tewolde Woldearegay Wubayehu, Alemayehu Bayray, Afework Mulugeta

    Published 2020-01-01
    “…Waist circumference was found better for identifying diabetes (AUC = 0.69) and prediabetes (AUC = 0.63) in women, respectively. Waist-to-hip ratio was better identifying diabetes (AUC = 0.67) while waist circumference-to-height ratio was better identifying prediabetes (AUC = 0.63) in men compared to body mass index. …”
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  14. 294

    Abdominal fat distribution and its relationship to brain changes: the differential effects of age on cerebellar structure and function: a cross-sectional, exploratory study by Yvonne Böttcher, Michael Stumvoll, Kees Straatman, Matthias Raschpichler, Matthias Leopold Schroeter, Katrin Arelin, Haiko Schlögl, Dominik Fritzsch, Meinhard Mende, André Pampel, Arno Villringer, Karsten Mueller

    Published 2013-01-01
    “…Objectives To investigate whether the metabolically important visceral adipose tissue (VAT) relates differently to structural and functional brain changes in comparison with body weight measured as body mass index (BMI). Moreover, we aimed to investigate whether these effects change with age.Design Cross-sectional, exploratory.Setting University Clinic, Integrative Research and Treatment Centre.Participants We included 100 (mean BMI=26.0 kg/m², 42 women) out of 202 volunteers randomly invited by the city's registration office, subdivided into two age groups: young-to-mid-age (n=51, 20–45 years of age, mean BMI=24.9, 24 women) versus old (n=49, 65–70 years of age, mean BMI=27.0, 18 women).Main outcome measures VAT, BMI, subcutaneous abdominal adipose tissue, brain structure (grey matter density), functional brain architecture (eigenvector centrality, EC).Results We discovered a loss of cerebellar structure with increasing VAT in the younger participants, most significantly in regions involved in motor processing. …”
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  15. 295

    Gestational diabetes mellitus and offspring’s carotid intima–media thickness at birth: MySweetHeart Cohort study by Umberto Simeoni, Antje Horsch, Arnaud Chiolero, Yvan Vial, Nicole Sekarski, Jardena J Puder, Pascal Bovet, Stefano Di Bernardo, Yvan Mivelaz, Adina Mihaela Epure, Sandrine Estoppey Younes, Bobby Stuijfzand, Leah Gilbert, Stefano Lanzi, Justine Gross, Stefano Di Bernardo, Dan Quansah, Jean-Benoît Rossel, Amar Arhab, Sandrine Estoppey Younes, Seyda Mayerat

    Published 2022-07-01
    “…The difference in CIMT between offspring of women with and without GDM was of 0.00 mm (95% CI −0.01 to 0.01; p=0.96) and remained similar on adjustment for potential confounding factors, such as maternal prepregnancy body mass index, maternal education, smoking during pregnancy, family history of diabetes, as well as offspring’s sex, age, and body surface area (0.00 mm (95% CI −0.02 to 0.01; p=0.45)).Conclusions We found no evidence of increased CIMT in neonates exposed to GDM. …”
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  16. 296

    Maternal betel quid use during pregnancy and child growth: a cohort study from rural Bangladesh by Mohammad Redwanul Islam, Shaki Aktar, Jesmin Pervin, Syed Moshfiqur Rahman, Monjur Rahman, Anisur Rahman, Eva-Charlotte Ekström

    Published 2024-12-01
    “…Objective We examined the associations of BQ use during pregnancy with children’s height-for-age and body mass index-for-age z-scores (HAZ and BAZ, respectively) and fat and fat-free mass along with sex-based differences in association in rural Bangladesh. …”
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  17. 297

    Health-Related Quality of Life, Blood Pressure, and Biochemical and Anthropometric Profile in Vegetarians and Nonvegetarians by Jacksaint Saintila, Tabita E. Lozano López, Percy G. Ruiz Mamani, Michael White, Salomón Huancahuire-Vega

    Published 2020-01-01
    “…Vegetarians presented better Body Mass Index (BMI) and waist circumference (WC), as well as higher LDL levels. …”
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  18. 298

    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

    Published 2011-01-01
    “…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. …”
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  19. 299

    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

    Published 2018-01-01
    “…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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  20. 300

    Cytomegalovirus Infection and Its Relationship with Leukocyte Telomere Length: A Cross-Sectional Study by Zhu Lin, Hongmei Gao, Bing Wang, Yongqiang Wang

    Published 2021-01-01
    “…We further tested if obesity, measured by body mass index (BMI), and smoking could modify this relationship. …”
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