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  1. 1421

    Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture by Xiao-Yue Jiang, Zhi-Yang Tang, Bo-Wen Liu, Si-Yuan Lu, Dong-Gang Pan, Hui Jiang, Xiu-Hong Shan

    Published 2025-01-01
    “…Results: Compared with the non-fracture group, the fracture group showed significant differences in weight, body mass index (BMI), bone mineral density (BMD), vertebral cross-sectional area, paraspinal muscle area and right psoas major muscle fat area (all P < 0.05). …”
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  2. 1422

    Long-Term Effects of Metformin and Lifestyle Modification on Nonalcoholic Fatty Liver Disease Obese Adolescents by Lian Tock, Ana R. Dâmaso, Aline de Piano, June Carnier, Priscila L. Sanches, Henrique Manoel Lederman, Regina M. Y. Ernandes, Marco Túlio de Mello, Sérgio Tufik

    Published 2010-01-01
    “…Long-term therapy plus metformin significantly reduced body weight, body mass index, insulin, HOMA-IR, and visceral fat. Conclusions. …”
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  3. 1423

    Potential alternative and novel biomarkers for paediatric MAFLD: exploratory evidence from a Chinese cohort by Fan Yang, Mengyuan Hu, Lulian Xu, Xiaowei Zheng, Lihong Zhu, Le Zhang, Haoyang Zhang

    Published 2025-01-01
    “…We measured body composition biomarkers, blood-based and urine-based biomarkers, and liver stiffness in participants to diagnose MAFLD and identify alternative and novel potential biomarkers for MAFLD. Body mass index (BMI), high-density lipoprotein cholesterol (HDLC), triglycerides, glucose, systolic blood pressure (SBP), diastolic blood pressure (DBP), and waist perimeter were used as MAFLD diagnostic biomarkers. …”
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  4. 1424

    Composition, determinants, and risk factors of low birth weight in Sri Lanka. by Sachith Mettananda, Himali Herath, Ayesha Thewage, Kumudu Nanayakkara, Indeewari Liyanage, K S Udani, Rajika Savanadasa, Sampatha Goonewardena, Nimesha Gamhewage, Asiri Hewamalage, Dhammica Rowel, Abner Elkan Daniel, Chithramalee de Silva, Susie Perera

    Published 2025-01-01
    “…Teenage pregnancy (p = 0.022), low maternal pre-pregnancy body mass index (p<0.001), inadequate weight gain during pregnancy (p<0.001), maternal anaemia at delivery (p = 0.020), chronic lung disease (p = 0.019), and pregnancy induced hypertension (p = 0.019) were significant modifiable risk factors for small for gestational age.…”
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  5. 1425

    Cultural and urban city living expectations of knee motion in a Southeast Asian city: implications on total knee arthroplasty outcomes by Yong Yao Tan, Ke Xin Magneline Ang, Ching Yi Aliza Wong, Kinjal Vidyut Mehta, Sir Young James Loh

    Published 2025-01-01
    “…The average height was 168 cm (SD 0.0870), and the average body mass index was 23.02 kg/m2 (SD 2.82). The average knee ROM requirements for various activities are as follows: walking on flat ground and stair climbing required less than 90°, squatting and kneeling required at least 127°, and sitting cross-legged required 106°. …”
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  6. 1426

    Comparing Clinical Outcomes of Five-Strand Hamstring Tendon Autograft and Quadrupled Hamstring Tendon Autograft for Single Bundle Anterior Cruciate Ligament Reconstruction in Filip... by Albert Ian Villegas, Emmanuel Roy Mata, Jose Antonio San Juan, John Rey Go, Vick Roland Ladica

    Published 2025-01-01
    “…Result: The study included 18 patients, showing no significant differences in demographic characteristics such as age (24.78 vs. 27.67 years, p = 0.202), height (1.71 vs. 1.64 meters, p = 0.146), weight (84.43 vs. 74.98 kg, p = 0.252) or body mass index (28.95 vs. 27.98 kg/m², p = 0.714); average return to sports (10.63 vs. 11.83 months, p = 0.642). …”
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  7. 1427

    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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  8. 1428

    Assessment of factors implicated in bone fusion after percutaneous endoscopic lumbar intervertebral fusion by Zheng Huang, Xialin Li, Weihong Yi, Junfeng Gong, Yue Zhou, Yu Tang

    Published 2024-11-01
    “…Data on age, operative time, blood loss, drainage, hospital stay, surgical level, osteoporosis, endplateitis, body mass index, lumbar curvature, and bone morphogenetic protein (BMP) use were collected. …”
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  9. 1429

    Randomized Controlled Trial of Polyethylene Glycol versus Oral Sodium Phosphate for Bowel Preparation in Unsedated Colonoscopy by Dong Yang, Ke Tao, Geng Chen, Luping Zhang, Qingying He, Hong Xu

    Published 2020-01-01
    “…There were no significant differences in gender, body mass index, and history of abdominal surgery between the two groups. …”
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  10. 1430
  11. 1431

    Validation of chest trauma scoring systems in polytrauma: a retrospective study with 1,038 patients in Korea by Hongrye Kim, Mou Seop Lee, Su Young Yoon, Jonghee Han, Jin Young Lee, Junepill Seok

    Published 2024-06-01
    “…Results In total, 1,038 patients were divided into two groups: those with complications (822 patients, 79.2%) and those with no complications (216 patients, 20.8%). Sex and body mass index did not significantly differ between the groups. …”
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  12. 1432

    Parameters of the Component Composition of the Body and Their Relationship with the Development of Ascites in Liver Cirrhosis by Yu. O. Zharikov, M. S. Zharkova, A. N. Gadjiakhmedova, A. M. Aliyeva, V. N. Nikolenko, V. T. Ivashkin

    Published 2024-08-01
    “…Ascites diagnosis was performed using ultrasound examination of the abdominal cavity and retroperitoneal space.Results. The values of body mass index (p &lt; 0.001), fat mass (p = 0.002), active cell mass (p &lt; 0.001), and phase angle (p &lt; 0.001) were lower in patients with ascites than without it. …”
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  13. 1433

    Vanadyl Sulfate Effects on Systemic Profiles of Metabolic Syndrome in Old Rats with Fructose-Induced Obesity by Diego Ortega-Pacheco, María Marcela Jiménez-Pérez, Jeanet Serafín-López, Juan Gabriel Juárez-Rojas, Arturo Ruiz-García, Ursino Pacheco-García

    Published 2018-01-01
    “…The first ND group was treated with saline solution (SS), the second with VS; treatment for HFD groups was in the first group with SS, second with VS, and third with metformin. Weight, body mass index (BMI), blood glucose, and lipidic profile were measured; water, food, fructose and energy consumption were also determined. …”
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  14. 1434

    The potential of serum elabela levels as a marker of diabetic retinopathy: results from a pilot cross-sectional study by Muhammed Seyithanoğlu, Selma Meşen, Aysegul Comez, Ali Meşen, Abdullah Beyoğlu, Yaşarcan Baykişi, Filiz Alkan Baylan

    Published 2025-01-01
    “…Results The age, sex, and body mass index of the between groups were similar (p = 0.905, 0.985 and 0.241, respectively). …”
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  15. 1435

    Association between novel anthropometric indices and overactive bladder: a population-based study by Heng Liu, Huqiang Dong, Mingchu Jin, Yu Zhou, Haidong Hao, Yutang Yuan, Hongtao Jia, Min He

    Published 2025-01-01
    “…However, traditional measures of obesity, such as the waist-to-height ratio (WHtR), waist circumference, and body mass index (BMI), may not sufficiently capture fat distribution in the body. …”
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  16. 1436

    The effectiveness of a 10-week family-focused e-Health healthy lifestyle program for school-aged children with overweight or obesity: a randomised control trial by Diana Zhu, Aimee L. Dordevic, Simone Gibson, Zoe E. Davidson

    Published 2025-01-01
    “…Methods In this randomised control trial (RCT), families with children aged 7–13 years with overweight/obesity (body mass index, BMI ≥ 85th percentile), living in Victoria, Australia, were recruited. …”
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  17. 1437

    Biopsychosocial correlates of body satisfaction in 7- to 8-year old children: a cross-sectional and prospective investigation by Danielle L. Smith, Stephanie R. Damiano, Siân A. McLean, Eleanor H. Wertheim, Susan J. Paxton

    Published 2024-12-01
    “…This study investigated relationships between a range of biological (body mass index), psychological (child anxiety/depression, self-esteem, and self-oriented and socially prescribed perfectionism) and sociocultural (mother’s body dissatisfaction and comments about child’s appearance, father’s body dissatisfaction and comments about child’s appearance, peer teasing and child’s media exposure) factors and body satisfaction cross-sectionally and longitudinally in a sample of 7- and 8-year-old children. …”
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  18. 1438

    Intestinal flora composition and fecal metabolic phenotype in elderly patients with sleep disorders combined with type 2 diabetes by Zhuohao Yin, Huaze Xie, Fuyuan Liu, Xue Kong, Wei Chen, Yangfan Gong, Wei Ge

    Published 2024-12-01
    “…The composition feature of intestinal flora and metabolomics in the ESdD group was described through high‐throughput 16S rDNA sequencing and nontargeted analysis based on liquid chromatography–mass spectrometry. Results Gender, body mass index (BMI), T2D, intestinal discomfort, and anxiety depression were independent risk factors for sleep disorders in the elderly. …”
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  19. 1439

    The trajectory of changes in cognitive frailty and factors influencing it in elderly patients with cerebral infarction by Shengnan Xu, Qin Liang, Li Zhang, Shihua Liu

    Published 2025-01-01
    “…[Objective] The trajectory of cognitive frailty in elderly patients with cerebral infarction was analyzed, and the influencing factors were discussed. [ Methods] A total of 100 elderly patients with cerebral infarction hospitalized in Suzhou Hospital of Anhui Medical University from January to September in 2023 were selected for the study.Clinical data were collected on the patients, and cognitive frailty was assessed using the Frailty Screening Scale and the Montreal Cognitive Assessment Questionnaire (MoCA) at the time of admission and 1, 3, 6 months after treatment.Failty score ≥3 scores and MoCA <26 scores were defined as cognitive fraily.Potential categories of cognitive frailty change trajectories were identified by latent category growth modeling, and multifactorial logistic regression analyzed the factors influencing patients' cognitive frailty change trajectories. [ Results] The trajectory of cognitive frailty change in elderly patients with cerebral infarction identified by model fitting can be categorized into a group with a persistently low level of frailty (30 cases), a group with a slow rise in frailty (52 cases), and a group with a persistently high level of frailty (18 cases).Multifactorial logistic regression analysis showed that older age, poor sleep quality, and the number of comorbid chronic diseases > 4 were all risk factors for the development of persistent low levels of cognitive frailty into a slow rise in cognitive decline in elderly patients with cerebral infarction (P<0.05), Higher body mass index and high self-care ability were both protective factors for the development of persistent low levels of cognitive decline into a slow rise in cognitive decline in elderly patients with cerebral infarction (P<0.05).Older age, poor sleep quality and the number of comorbid chronic diseases >4 were risk factors for the progression of persistent low levels of cognitive decline to persistent high levels of cognitive decline in elderly patients with cerebral infarction (P < 0.05), and higher self-care ability were protective factors for the progression of persistent low levels of cognitive decline to persistent high levels of cognitive decline in elderly patients with cerebral infarction (P < 0.05). …”
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  20. 1440

    Physical activity behaviour up to 1 year post-rehabilitation among adults with physical disabilities and/or chronic diseases: results of the prospective cohort study ReSpAct by Lucas H V van der Woude, Rienk Dekker, Trynke Hoekstra, Leonie A Krops, Femke Hoekstra, Florentina J Hettinga, Pim Brandenbarg, Bregje L Seves

    Published 2022-06-01
    “…Diagnosis, age, sex and body mass index had a significant effect on baseline total physical activity.Conclusion Physical activity is highly diverse among adults with physical disabilities and/or chronic diseases. …”
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