Weight variation gain and chemotherapy in women having breast cancer treated in the public health system by Samira Obeid Georges, Cinthya Costa Braga, Karine Anusca Martins

“…For the 30 study participants body mass index (BMI) was similar before chemotherapy (27.45 ± 5.42 kg/m2) and after (27.53 ± 5.71 kg/m2) and placed the sample in the overweight category (BMI: 25.00 to 29.99 kg/m2). …”
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Physical Activity May Be Associated with Conditioned Pain Modulation in Women but Not Men among Healthy Individuals by Yukiko Shiro, Tatsunori Ikemoto, Yuta Terasawa, Young-Chang P. Arai, Kazuhiro Hayashi, Takahiro Ushida, Takako Matsubara

“…Participants were assessed on the basis of their mechanical pressure pain threshold (PPT), CPM response, body mass index (BMI), basal metabolic rate (BMR), and duration of moderate-to-vigorous physical activity (MVPA) over a week, using a motion counter. …”
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The Serum Level of Fibroblast Growth Factor-23 and Calcium-Phosphate Homeostasis in Obese Perimenopausal Women by M. Holecki, J. Chudek, A. Więcek, M. Titz-Bober, J. Duława

“…However, serum phosphorus level in obese subjects was significantly lower. iFGF-23 concentration correlated significantly with body mass index (R=0.292) and fat content (R=0.259) in all study subjects. …”
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Association between Different Types of Edible Oils and Anthropometric Indices Mood, and Appetite among Women by Nahid Kangani, Mohammadreza Mohammadi, Mobina Zeinolabedin, Nick Bellissimo, Leila Azadbakht

“…SPSS was used to compute body mass index (BMI) and waist-to-height ratio (WHtR). …”
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Whole Exome Sequencing Reveals Rare Variants in Genes Associated with Metabolic Disorders in Women with PCOS by Priyal Sharma, Ashutosh Halder, Manish Jain, Manish Tripathi

“…PCOS patients with identified variants exhibited significantly higher average body mass index and fasting insulin levels of PCOS subjects with identified variants compared to those without variants (P < 0.05). …”
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Leaner Women with Impaired Insulin Secretion Accounts for about 40% of Gestational Diabetes Mellitus in Japan by Seishi Furukawa, Yoichi Kobayashi

“…We compared the prepregnancy body mass index (BMI) and homeostasis model assessment of β-cell function (HOMA-β) between the group comprising low insulin resistance (LIR) and the group comprising high insulin resistance (HIR). …”
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The Association of Having a Late Dinner or Bedtime Snack and Skipping Breakfast with Overweight in Japanese Women by Chika Okada, Hironori Imano, Isao Muraki, Keiko Yamada, Hiroyasu Iso

“…We defined overweight/obesity as body mass index greater than or equal to 25 kg/m2. …”
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The Effect of Cesarean Delivery Skin Incision Approach in Morbidly Obese Women on the Rate of Classical Hysterotomy by Brian E. Brocato, Edwin M. Thorpe, Luis M. Gomez, Jim Y. Wan, Giancarlo Mari

“…To assess the risk of classical hysterotomy and surgical morbidity among women with a body mass index (BMI) greater than 40 kg/m2 who underwent a supraumbilical incision at the time of cesarean delivery. …”
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Effects of prenatal exercise interventions on maternal body composition: A secondary analysis of the FitMum randomized controlled trial. by Caroline Borup Roland, Parisa Seyedhosseini, Signe de Place Knudsen, Anne Dsane Jessen, Ida Karoline Bach Jensen, Jane M Bendix, Gerrit van Hall, Stig Molsted, Saud Abdulaziz Alomairah, Ellen Løkkegaard, Bente Stallknecht, Tine D Clausen

“…One hundred fifty pregnant women were included with a median pre-pregnancy body mass index (BMI) of 24.1 (21.6-27.9) kg/m2. …”
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Association of Obesity and Socioeconomic Status among Women of Childbearing Age Living in Urban Area of Morocco by Fatima Barich, Fatima Ezzahra Zahrou, Fatima Zahra Laamiri, Nisrine El Mir, Manelle Rjimati, Amina Barkat, El Arbi Rjimati, Hassan Aguenaou

“…This is a descriptive and analytical study conducted among women (N=240), aged between 15 and 49 years. At recruitment, socioeconomic status (SES) of each participant was assessed, anthropometric parameters were recorded, and body mass index (BMI), waist circumference, and waist-to-hip ratio (WHR) were measured to assess overweight and obesity. …”
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AMH Is a Good Predictor of Metabolic Risk in Women with PCOS: A Cross-Sectional Study by Miaoxian Ou, Pei Xu, Han Lin, Kaichi Ma, Mingxing Liu

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Exploring socio-demographic determinants of obesity in Jordanian women of reproductive age: insights from a nationwide survey by Mahmoud Shaaban Abdelgalil, Sara Hosny El-Farargy, Mohamed Adel Dowidar, Mohamed Abd-ElGawad

“…Result We included 4,339 Jordanian women in our study, of whom 2,189 were classified as obese and 2,150 had a normal body mass index (BMI). …”
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Impact of Dienogest Alone or in Combination with Ethinylestradiol on the Quality of Life of Women with Endometriosis: A Prospective Cohort Study by Mujde Canday, Suleyman Salman

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Association Between Walking Speed and Urinary Incontinence in the Older Women. Which Patients Should be Referred to Geriatricians? by Volkan Atmis, Basak Guler

“…Three hundred and eighty-nine old aged women admitted to the Geriatrics Department of Ankara University were enrolled and urinary incontinence and type of urinary incontinence, Handgrip strength test, Timed up and Go test, Katz Index of Independence in Activities of Daily Living, Lawton Index of Instrumental Activities of Daily Living, Mini Nutritional Assessment, Mini-Mental State Evaluation, Geriatric Depression Scale, Body Mass Index (BMI) of these participants were recorded. …”
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The Relation of Coffee Consumption to Serum Uric Acid in Japanese Men and Women Aged 49–76 Years by Ngoc Minh Pham, Daigo Yoshida, Makiko Morita, Guang Yin, Kengo Toyomura, Keizo Ohnaka, Ryoichi Takayanagi, Suminori Kono

“…Statistical adjustment was made for body mass index, alcohol use, hypertension, diabetes mellitus, and other factors. …”
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Ethnic inequalities in mental and physical multimorbidity in women of reproductive age: a data linkage cohort study by Amelia Jewell, Matthew Broadbent, Stephani Hatch, Mark Ashworth, Megan Pritchard, Sarah Dorrington, Louise Howard, Raquel Catalao

“…Objectives Explore inequalities in risk factors, mental and physical health morbidity in non-pregnant women of reproductive age in contact with mental health services and how these vary per ethnicity.Design Retrospective cohort study.Setting Data from Lambeth DataNet, anonymised primary care records of this ethnically diverse London borough, linked to anonymised electronic mental health records (‘CRIS secondary care database’).Participants Women aged 15–40 years with an episode of secondary mental health care between January 2008 and December 2018 and no antenatal or postnatal Read codes (n=3817) and a 4:1 age-matched comparison cohort (n=14 532).Main outcome measures Preconception risk factors including low/high body mass index, smoking, alcohol, substance misuse, micronutrient deficiencies and physical diagnoses.Results Women in contact with mental health services (whether with or without severe mental illness (SMI)) had a higher prevalence of all risk factors and physical health diagnoses studied. …”
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Protein Intake, Especially Vegetable Protein Intake, Is Associated with Higher Skeletal Muscle Mass in Elderly Patients with Type 2 Diabetes by Akane Miki, Yoshitaka Hashimoto, Shinobu Matsumoto, Emi Ushigome, Takuya Fukuda, Takafumi Sennmaru, Muhei Tanaka, Masahiro Yamazaki, Michiaki Fukui

“…In this cross-sectional study of 168 elderly patients with type 2 diabetes, we investigated the relationship between skeletal muscle index (SMI) and protein intake. Bioimpedance analysis was used for measurement for skeletal muscle mass (kg) and SMI (%), which was defined as skeletal muscle mass (kg)/total body weight (kg) × 100. …”
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Age-related features of some plasminogen activation system components content and activity in the blood of benign and malignant uterine body tumors by I. V. Kaplieva, G. V. Zhukova, V. R. Zakharchenko, E. M. Frantsiyants, E. V. Verenikina, Yu. A. Pogorelova, P. S. Kachesova, Yu. Yu. Kozel, N. A. Maximova, M. G. Ilchenko, E. I. Agarkova, A. S. Egorova

“…There was an increase in the calculated t-PA index (activity per unit mass) by 1.4–2.8 times (p &lt; 0.05) in the most patients. …”
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Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid by Huibert Burger, Henk van der Worp, Marco H Blanker, Marjolein Y Berger, Anne Martina Maria Loohuis, Nienke Wessels, Janny Dekker, Alec GGA Malmberg

“…Of the 350 screened women, 262 were eligible and randomised to app-based treatment or care as usual; 195 (74%) attended follow-up.Predictors Literature review and expert opinion identified 13 candidate predictors, categorised into two groups: Prognostic factors (independent of treatment type), such as UI severity, postmenopausal state, vaginal births, general physical health status, pelvic floor muscle function and body mass index; and modifiers (dependent on treatment type), such as age, UI type and duration, impact on quality of life, previous physical therapy, recruitment method and educational level.Main outcome measure Primary outcome was symptom severity after a 4-month follow-up period, measured by the International Consultation on Incontinence Questionnaire the Urinary Incontinence Short Form. …”
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Community Engaged Lifestyle Modification Research: Engaging Diabetic and Prediabetic African American Women in Community-Based Interventions by Starla Hairston Blanks, Henrie Treadwell, Anya Bazzell, Whitney Graves, Olivia Osaji, Juanita Dean, James T. McLawhorn, Jareese Lee Stroud

“…Following the intervention, results indicated that participants had greater knowledge about nutrition and health, strategies for prevention and management of obesity and diabetes, increased engagement in exercise and fitness activities, and decreased blood pressure, weight, body, and mass index. Cholesterol levels remained relatively unchanged. …”
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