Vagal Withdrawal and Sympathetic Overactivity Contribute to the Genesis of Early-Onset Pregnancy-Induced Hypertension by G. K. Pal, P. Shyma, S. Habeebullah, Pravati Pal, Nivedita Nanda, P. Shyjus

“…In this study, we have assessed sympathovagal imbalance (SVI) by spectral analysis of heart rate variability (HRV) that contributes to the genesis of early-onset PIH. Methods. Body mass index (BMI), basal heart rate (BHR), blood pressure (BP) and HRV indices such as LFnu, HFnu, LF-HF ratio, mean RR, SDNN and RMSSD were assessed in normal pregnant women (Control group) and pregnant women having risk factors for PIH (Study group) at all the trimesters pregnancy. …”
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Variations in Aging, Gender, Menopause, and Obesity and Their Effects on Hypertension in Taiwan by Shu C. Chen, Tsai C. Lo, Jui H. Chang, Hsien W. Kuo

“…Trained nurses collected blood pressure (BP) measurements and anthropometric indices, including weight, height, hip circumference (HC), waist circumference (WC), body mass index (BMI), waist to height ratio (WHtR), and waist to hip ratio (WHR). …”
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Diagnosis and Management of Obesity Hypoventilation Syndrome during Labor by Brandon M. Togioka, Sarah S. McConville, Rachael M Penchoen-Lind, Katie J. Schenning

“…Obesity hypoventilation syndrome (OHS) is a disorder in which patients with a body mass index ≥30 kg/m2 develop awake hypercapnia with a partial pressure of carbon dioxide ≥45 mm Hg, in the absence of other diseases that may produce alveolar hypoventilation. …”
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Prevalence of Metabolic Syndrome in Patients with Psoriasis by Ilkin Zindancı, Ozlem Albayrak, Mukaddes Kavala, Emek Kocaturk, Burce Can, Sibel Sudogan, Melek Koç

“…Study consisted of 115 plaque-type psoriasis patients and 140 healthy individuals. Data including body weight, height, waist circumference, body-mass index, and arterial blood pressure were collected. …”
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Overweight and Obesity Epidemic in Developing Countries: A Problem with Diet, Physical Activity, or Socioeconomic Status? by Trishnee Bhurosy, Rajesh Jeewon

“…This paper aims to compare the mean body mass index trends in the World Health Organisation- (WHO-) categorised regions since 1980 to 2008 and secondly to appraise how socioeconomic disparities can lead to differences in obesity and physical activity level across developing nations. …”
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Prediction of Reproductive Outcomes of Intracytoplasmic Sperm Injection Cycles Using a Multivariate Scoring System by Ahmed Abuelsoud Abden, Momen Ahmed Kamel, Ahmed Nabil Fetih, Ali Haroun Yousef

“…Materials and Methods: The score variables were age, body mass index, antral follicle count, basal follicle-stimulating hormone (FSH), basal FSH/luteinising hormone ratio, infertility duration, number of previous cancellations and mean ovarian volume. …”
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Prevalence of Asymptomatic Uterine Leiomyoma in Western Turkey and Factors Affecting Myoma Presence by Fatma Nurgul Tasgoz, Nergis Kender Erturk

“…In the multivariate logistic regression analysis, high body mass index, younger age at menarche, and not using oral contraceptives were associated with the presence of fibroids. …”
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Inflammatory Markers Are Positively Associated with Serum trans-Fatty Acids in an Adult American Population by Mohsen Mazidi, Hong-kai Gao, Andre Pascal Kengne

“…In linear regression models adjusted for age, sex, race, education, marital status, body mass index, and smoking, serum TFAs were an independent predictor of plasma hs-CRP and fibrinogen levels. …”
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A Combination of Serum Biomarkers in Elderly Patients with Sarcopenia: A Cross-Sectional Observational Study by Lin Ying, Qin Zhang, Yun-mei Yang, Jian-ying Zhou

“…According to the criteria of the Asian Working Group for Sarcopenia (AWGS), subjects were divided into the sarcopenia group and nonsarcopenic group. We compared age, body mass index (BMI), biochemical indexes, smoking status, underlying disease, muscle mass, handgrip strength (HS), gait speed (GS), skinfold thickness, muscle thickness, and IL-6, IL-10, IL-17A, and TNF-α levels between these groups. …”
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Risk of neonatal SARS-CoV-2 infection: a retrospective cohort study based on infected mothers with gestational diabetes mellitus by Jing Ni, Yongfei Zheng, Jiaqi Tian, Jiaqi Tian, Jiaqi Tian, Lin Zhang, Lin Zhang, Lin Zhang, Shuyin Duan

“…Logistic regression analysis identified an interaction between maternal SARS-CoV-2 infection and GDM on neonatal infection, where maternal SARS-CoV-2 infection (odds ratio [OR] = 0.31, 95%CI: 0.22-0.44) and vaccination for anti-SARS-CoV-2 (OR = 0.70, 95%CI: 0.50-0.98) were associated with lower odds of neonatal infection, while higher pre-pregnancy body mass index (BMI) (OR = 1.06, 95% CI: 1.02-1.10) and GDM (OR = 1.97, 95%CI: 1.21-3.21) were associated with higher odds of neonatal infection.ConclusionsWe demonstrate that the coexistence of GDM and perinatal SARS-CoV-2 infection was associated with an increased probability of neonatal SARS-CoV-2 infection.…”
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Dose-response risks of all-cause, cancer, and cardiovascular disease mortality according to sex-specific cigarette smoking pack-year quantiles by Jieun Hwang, Suyoung Jo, Heewon Kang, Eunsil Cheon, Sung-il Cho

“…Pack-years were computed using daily average smoking amount and total smoking duration, and were categorized into quantiles separately for men and women. Based on the number of deaths in 2018, hazard ratios (HRs) were estimated for all-cause mortality, as well as for death caused by all cancers, lung cancer, and cardiovascular diseases according to pack-years adjusted for age, household income, marital status, body mass index, physical activity, and alcohol consumption. …”
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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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Assessing a clinical vital sign in severe mental illness: validation study of the 5 sit-to-stand test for monitoring muscle strength – The PsychiActive Project by Alvaro Lopez-Moral, Diego Munguia-Izquierdo, Javier Bueno-Antequera

“…Aims This study aimed to analyse the criterion validity of the 5-STS test in SMI, considering potential age, gender and body mass index influences. Method In a cross-sectional study following the ‘STrengthening the Reporting of OBservational studies in Epidemiology’ (STROBE) guidelines, 82 adults with SMI (aged 18–65, 24 women) were assessed. …”
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Prevalence and risk factors of hyperuricaemia in non-obese Chinese: a single-centre cross-sectional study by Chengfu Xu, Jinghua Wang, Xinyu Wang, Yishu Chen, Shenghui Chen, Haoliang Zhai

“…Exclusion criteria: (1) those with body mass index ≥24 kg/m2; (2) those with incomplete anthropometric and biochemical data; (3) those with a history of malignancy and (4) those under urate-lowering treatment.Primary and secondary outcome measures The prevalence and factors associated with hyperuricaemia in non-obese Chinese adults.Results Of the 5731 non-obese subjects enrolled, 538 (9.4%) were identified as having hyperuricaemia, specifically 16.3% in men and 4.6% in women. …”
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Retrospective Analysis of Bone Metabolism in Patients on Waiting List for Simultaneous Pancreas-Kidney Transplantation by Simona Kratochvílová, Jana Brunová, Petr Wohl, Věra Lánská, František Saudek

“…We noted a gender difference in LS, with worse results for men (-1.1 vs. -0.3) even after adjusting for BMI (body mass index) and glomerular filtration (p<0.001). …”
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Obesity phenotypes and dyslipidemia in adults from four African countries: An H3Africa AWI-Gen study. by Engelbert A Nonterah, Godfred Agongo, Nigel J Crowther, Shukri F Mohamed, Lisa K Micklesfield, Palwendé Romuald Boua, Alisha N Wade, Solomon S R Choma, Hermann Sorgho, Isaac Kissiangani, Gershim Asiki, Patrick Ansah, Abraham R Oduro, Shane A Norris, Stephen M Tollman, Frederick J Raal, Marianne Alberts, Michele Ramsay, as members of AWI-Gen and the H3Africa Consortium

“…Age-standardized prevalence and adjusted mean cholesterol, LDL-C, HDL-C, triglycerides and non-HDL-C were estimated using Poisson regression analyses and association of body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WTHR) with abnormal lipid fractions modeled using a random effects meta-analysis. …”
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The role of sex, age, and BMI in treatment decisions for knee osteoarthritis: conservative management versus total knee replacement by Fabiola Ojeda, Laura Tío, Francisco Castro-Domínguez, Simone Tassani, Jerome Noailly, Jordi Monfort

“…Results Between 2016 and 2020, the study included 87 patients (51 women and 36 men) with a mean age of 67.7 years in both treatment groups, with a slightly higher body mass index (BMI) of 31.9 kg/m2 in the TKR group vs 30.5 kg/m2 in the conservative management group. …”
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Age and Sex‐Related Differences in Neuroprotective Effects of Cardiovascular Endurance on Cortical Thickness and Brain Volume in Adults Across Age by Junyeon Won, Marissa Gogniat, J. Carson Smith

“…Linear regression models were used to examine the interaction between age and CE on total GM volume, WM volume, and MCT after adjusting for sex, years of education, body mass index, systolic blood pressure, gait speed, and total intracranial volume. …”
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Breast Cancer: Epidemiology, Risk Factors and Survival Analysis in the Pakistani Population by Shumaila Zaib, Nosheen Masood, Jahangeer Sarwar Khan, Iqra, Azra Yasmin

“…Conclusion: Present study concluded that age, body mass index, oral contraceptives usage, lactation duration, reproductive duration and marital status of the female are significant factors in developing breast cancer in Pakistani women. …”
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Cohort profile: the Halland osteoarthritis (HALLOA) cohort–from knee pain to osteoarthritis: a longitudinal observational study in Sweden by Ann Bremander, Maria L E Andersson, S Bergman, Katarina Aili, Emma Haglund

“…There are 306 individuals included in the study, mean age (SD) 51.7 (8.7) years and 69% are women. The baseline and follow-ups include clinical tests, radiographical examinations, blood samples, metabolic measures, pain pressure thresholds, tests of physical functions, daily physical activity types and patient-reported outcomes.Findings to date There were associations between metabolic factors and radiographic knee OA, even in those with normal body mass index at baseline. …”
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