Prevalence and Management Recommendations for Disease-Related Malnutrition in Chronic Kidney Disease Patients with and without Diabetes by Li-Li Dai, Wei-Li Li, Ding-Feng Zheng, Wei-Hong Wang, Hao-Fen Xie, Jian-Wei Ma

“…Using the second step of the malnutrition (GLIM) diagnostic tool and 2 previously commonly used malnutrition assessment methods (body mass index <18.5 kg/m2 with poor general condition, 3 points for nutritional deficiency in nutritional risk screening), combined with clinical research on the main causes of malnutrition, the intervention measures were discussed. …”
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Association between weekend catch-up sleep and chronic kidney disease: insights from NHANES 2017–2020 by Sheng Chen, Ting Zhang, Hongjun Gao, Jianqiang Zhang

“…Subgroup analyses showed stronger negative associations (p < 0.05) for men and women with a WCS of 2-3 h, adults under 60 years of age with a WCS of 2-3 h, those with less than 1 h of catch-up sleep on weekends and a body mass index (BMI) of 25-29.9, those with a BMI of less than 25 or greater than or equal to 30 with a WCS of 2-3 h, and those with less than 7 h of sleep on weekdays and 2-3 h of catch-up sleep on weekends.Conclusion Our findings suggest that when weekday sleep duration is < 7 h, WCS in 2-3 h is strongly associated with a lower prevalence of CKD.…”
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Inadequate soft tissue coverage and bone loss/comminution are the typical risk factors of surgical site infection in open fractures of the hand: A nomogram prediction model. by Tianyang Jia, Jinglan He, Cunliang Miao, Yubin Long, Qi Dong, Jialiang Guo, Wei Chen, Zhiyong Hou

“…<h4>Results</h4>The incidence of SSI was 6.96% (43/618). Body mass index (BMI), albumin (ALB), neutrophils (NEU), inadequate soft tissue coverage, and bone loss/comminution were identified as the independent risk factors of post-operative SSI in OFH and enrolled in the prediction nomogram model. …”
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Body Composition, Muscle Strength, and Physical Function of Patients with Bethlem Myopathy and Ullrich Congenital Muscular Dystrophy by Maria Teresa Miscione, Francesca Bruno, Claudio Ripamonti, Giuliana Nervuti, Riccardo Orsini, Cesare Faldini, Massimo Pellegrini, Daniela Cocchi, Luciano Merlini

“…Body composition was determined by body mass index (BMI) and dual-energy-X-ray-absorptiometry (DXA), muscle strength by dynamometry, physical function by the distance walked in 6 minutes (6MWD), forced vital capacity (FVC) by a spirometer. …”
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The Maternal Body Fluids and Amniotic Fluid in Near Term Pregnancies by Sümeyra Nergiz Avcıoğlu, Sündüz Özlem Altınkaya, Mert Küçük, Selda Demircan Sezer, Emre Zafer, Hasan Yüksel

“…For determining maternal body fluid status we used valid formulas (defined in methods). Maternal body mass index (BMI), weight gain during pregnancy and volume of maternal body fluid compartments including total body water, intracellular fluid volume, extracellular fluid volume, interstitial fluid volume, plasma volume and plasma osmolality were compared between two groups. …”
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Risk Factors for Type 2 Diabetes Mellitus in Adolescents from a Doctor's Office by Marlene Ferrer Arrocha, Elikana Kiplagat Chirchir, Maylín Isabel Alonso Martínez, Héctor Pérez Assef

“…The variables studied were: age, sex, personal and family history of diabetes mellitus, weight, height, waist circumference, body mass index, blood pressure, presence of central obesity and waist/height ratio, consumption of fruits and vegetables, and physical activity. …”
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The web‐based self‐reported survey of Alcohol Use Disorders Identification Test and associated factors in Japan by Tomomi Toyama, Chie Nitta, Yoshiki Koga, Kaoru Hamanaka, Mitsuru Kimura, Sachio Matsushita

“…The survey questionnaire items included AUDIT, educational background, occupation, income, marital status, body mass index (BMI), age at the time of the first alcoholic drink, age at the start of habitual drinking, Kessler Psychological Distress Scale (K6), and Link's Devaluation Discrimination Scale. …”
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Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity by Yusuke Wakabayashi, Rie Oka, Masako Nakaya, Shigehiro Karashima, Mitsuhiro Kometani, Masaru Sakurai, Kenichi Yoshimura, Takashi Yoneda

“…After further adjustment for body mass index (BMI) or waist circumference, the associations for hypertension still remained statistically significant (p<0.05) while those for hypertriglyceridemia and low HDL-cholesterolemia were no longer significant. …”
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General obesity, abdominal obesity, and the risk of cardiovascular disease including stroke in 5-year breast cancer survivors by Ji Soo Kim, Jihun Song, Seulggie Choi, Sang Min Park

“…Among 72,174 5-year breast cancer survivors aged 40 years and above, body mass index (BMI) and waist circumference (WC) were used to determine obesity status. …”
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Association Between Weight Loss and Changes in Optimal Positive Airway Pressure Levels in Patients With Obstructive Sleep Apnea by Ji Ho Choi, Dong Yun Lee, Tae Kyoung Ha, Ji Eun Moon

“…Results Out of the initial cohort, 20 OSA patients (male:female=18:2), with an average age of 42.2±9.3 years and a body mass index of 34.2±5.1 kg/m2, were included in this analysis. …”
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Relationship between plasma uric acid levels, antioxidant capacity, and oxidative damage markers in overweight and obese adults: A cross-sectional study. by Natalia Albuja-Quintana, Aida M Chisaguano-Tonato, Maria E Herrera-Fontana, Sandra Figueroa-Samaniego, José M Alvarez-Suarez

“…This cross-sectional study included 93 adult volunteers (28 men and 65 women) from the city of Machala, El Oro, Ecuador, divided into three study groups according to Body Mass Index (normal weight, overweight, and obese). …”
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Cost-utility and budget impact analysis of laparoscopic bariatric surgery for obesity with Type II Diabetes Mellitus in Thailand. by Prapaporn Noparatayaporn, Montarat Thavorncharoensap, Usa Chaikledkaew, Panu Looareesuwan, Prapimporn Chattranukulchai Shantavasinkul, Preeda Sumritpradit, Ammarin Thakkinstian

“…This study aims to evaluate the cost-effectiveness of bariatric surgery, as compared to nonbariatric surgery, in patients with body mass index (BMI) ≥32.5 kg/m2 and type 2 diabetes mellitus (T2DM), and to estimate the budget impact of bariatric surgery in Thailand.…”
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Superior bioavailability of EPA and DHA from a L-lysine salt formulation: a randomized, three-way crossover study by Christiane Schön, Antje Micka, Vishnupriya Gourineni, Roberta Bosi

“…The average age was 41.7 years, and the mean body mass index was 23.0 kg/m2. The Lys-FFA formulation showed significantly higher uptake of omega-3 fatty acids (EPA+DHA combined and each individually) compared to EE. …”
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The Polymorphism rs2725220 Is Associated with Hyperuricemia in the Korean Population by Jae Woong Sull, Seung-Ju Yang, Soriul Kim, Sun Ha Jee

“…The association with ABCG2 was much stronger in male subjects with body mass index (BMI) ≥ 26.4 (odds ratio, 5.09; 95% confidence interval, 2.41 to 10.8) than in male subjects with BMI < 26.4. …”
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Prevalence of Gastric and Small-Intestinal Mucosal Injury in Elderly Patients Taking Enteric-Coated Aspirin by Magnetically Controlled Capsule Endoscopy by Feng Gao, Xue Chen, Jie Zhang

“…Sixty-eight patients (34 per group) taking enteric-coated aspirin were recruited, and the elderly and middle-aged groups did not differ significantly in sex, history of smoking, history of alcohol consumption, body mass index, or accompanying diseases. In the elderly and middle-aged groups, the gastric Lanza scores were 2.0 (2.0, 3.0) and 2.0 (1.0, 3.0; P=0.192), the numbers of patients with small-intestinal mucosal injuries (at least one erosion and/or ulcer) were 30 (88.2%) and 15 (44.1%; P<0.001), the numbers of patients with more severe small-intestinal mucosal injuries (larger erosion and/or ulcer) were 11 (32.4%) and 3 (8.8%; P=0.033), the numbers of patients with ileal erosion were 22 (64.7%) and 8 (23.5%; P=0.001), and the durations of aspirin use were 30.0 (12.0, 120.0) and 10.5 (2.0–48.0) months (P=0.007), respectively. …”
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Global, regional, and national burden of low back pain for adults aged 55 and older 1990–2021: an analysis for the global burden of disease study 2021 by Shangbo Xu, Jiaxin Chen, Chicheng Wang, Ye Lin, Weipeng Huang, Haoyue Zhou, Weibiao Ji, Yangbo Chen

“…Occupational ergonomic factors, smoking, and high body mass index were identified as major contributors to the LBP burden. …”
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Interplay between Body Size Measures and Thyroid Cancer Aggressiveness: A Retrospective Analysis by Thaís Gomes de Melo, Ligia Vera Montali da Assumpção, Denise Engelbrecht Zantut-Wittmann

“…Considering controversial data about the relationship between body size and prognosis of differentiated thyroid cancer (DTC), the current study aimed to assess the influence of body weight, body mass index (BMI), and body surface area (BSA) on DTC. …”
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The Association between Intertwin Difference in First Trimester Crown-Rump Length, Nuchal Translucency, and Birth Weight Discordance in Twin Pregnancies: A Retrospective Cohort Stu... by Zachary Michael Ferraro, Tinghua Zhang, Felipe Moretti, Karen Fung-Kee-Fung

“…Twin pairs with a CRL discordance greater than 10% have nearly a 4 times greater likelihood of having a birth weight discordance greater than 20% (OR 3.71, CI 2.24-6.14) while controlling for chorionicity, maternal age, gestational age at delivery, maternal body mass index (BMI), and parity. In these models, intertwin NT discordance ≥ 20% (OR 1.16, CI 0.77-1.77) and NT discordance ≥ 14% (OR 1.08, CI 0.73-1.60) were not statistically significant predictors of twin birth weight differences. …”
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Predicting early cessation of exclusive breastfeeding using machine learning techniques. by Freja Marie Nejsum, Rikke Wiingreen, Andreas Kryger Jensen, Ellen Christine Leth Løkkegaard, Bo Mølholm Hansen

“…In both models, birthplace, maternal education, delivery mode, and maternal body mass index were the most important factors influencing the overall model performance.…”
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PRE-CONCEPTION READINESS AMONG PROSPECTIVE BRIDES by Syihabul Millah, Devi Arine Kusumawardani, S.Keb., M.Kes., Septi Nur Rahmawati

“…Other variables studied were body mass index nutritional status, chronic lack of energy status, anemia status, energy, protein, iron, calcium, folic acid intake, ferro supplementation and folic acid supplementation, and preconception nutritional knowledge. …”
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