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  3. 2243

    Unraveling the relationship between obstructive sleep apnea and osteoarthritis: A multivariate mendelian randomization highlighting the role of BMI as a confounding factor by Xin Xu, Hui Yu, Mingyi Yang, Jiale Xie, Ke Xu, Erliang Li, Xianjie Wan, Jiachen Wang, Guoqiang Wang, Ying Pan, Peng Xu, Junfei Guo

    Published 2025-01-01
    “…However, the causality of this association remains unclear, possibly influenced by confounders like high body mass index (BMI). This study aimed to explore causal relationships between OA and OSA using Mendelian randomization (MR). …”
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  4. 2244
  5. 2245

    High prevalence of overweight/obesity and central obesity among women in a rural district of Nepal in 2012–2013: a population-based study by Chandra Yogal, Chandra Yogal, Astrid Kamilla Stunes, Astrid Kamilla Stunes, Sunila Shakya, Biraj Karmarcharya, Rajendra Koju, Mats P. Mosti, Mats P. Mosti, Miriam K. Gustafsson, Miriam K. Gustafsson, Bjørn Olav Åsvold, Bjørn Olav Åsvold, Berit Schei, Unni Syversen, Unni Syversen

    Published 2025-02-01
    “…Height, weight, and waist circumference (WC) were measured, and body mass index (BMI) calculated. WHO cut-offs for Asians were used to assess the prevalence of overweight (23.0–27.4 kg/m2), obesity (≥ 27.5 kg/m2) and central obesity (WC ≥ 80 cm). …”
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  6. 2246

    Cyanoacrylate glue in breast surgery: the GLUBREAST Trial by Emanuela Esposito, Claudio Siani, Ivana Donzelli, Anna Crispo, Sergio Coluccia, Piergiacomo Di Gennaro, Assunta Luongo, Franca Avino, Alfredo Fucito, Ugo Marone, Maria Teresa Melucci, Ruggero Saponara, Raimondo di Giacomo

    Published 2025-01-01
    “…Older age was associated with a higher volume of seroma drained per day (β 0.30; 95% CI: 0.00–0.60). A 5-U increase in body mass index was associated with higher daily drained seroma volume in patients who underwent breast-conserving surgery (β 5.0; 95% CI: 0.62–9.4), but not in patients who underwent mastectomy (β 2.5; 95% CI: −3.6–8.6). …”
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  7. 2247

    Pre-treatment nutrition-related indicators and the prognosis of patients with newly diagnosed epithelial ovarian cancer: an ambispective cohort study by Shirui Wang, Jingyu Zhu, Ningjuan Wu, Nannan Wang, Xiaohe Dang, Minyi Zhao, Juan Zhao, Ding Ma, Xiaofeng Yang

    Published 2025-01-01
    “…Univariate and multivariable analyses were conducted on nutrition-related indicators, including body mass index (BMI), albumin (ALB), hemoglobin (Hb), diabetes mellitus (DM), and hyperlipidemia, along with clinicopathological characteristics that might affect patients’ first-line chemotherapy response, progression-free survival (PFS), and overall survival (OS). …”
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  8. 2248

    Depressive symptoms among the oldest-old in China: a study on rural-urban differences by Chaoqun Hu, Qinqin Jiang, Yuan Yuan, Bing Hou, Zhe Zhao, Yijun Liu, Jinhai Sun, Lei Yuan

    Published 2024-12-01
    “…In rural areas, education level (1-6: β = -0.374, 95%CI =  -0.686 to -0.062), annual income (poor: β = -0.374, 95%CI = -0.721 to -0.026; rich: β = -0.781, 95%CI = -1.115 to -0.447), exercise (yes: β = -0.844, 95%CI = -1.143 to -0.545) and SRH status (good: β = -3.023, 95%CI = -3.274 to -2.772) were protective factors, whereas body mass index (BMI) (< 18.5: β = 0.532, 95%CI = 0.221 to 0.842) and married status (widowed: β = 0.630, 95%CI = 0.283 to 0.978) were risk factors. …”
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  9. 2249

    A Novel Point-of-Care Prediction Model for Steatotic Liver Disease: Expected Role of Mass Screening in the Global Obesity Crisis by Jeayeon Park, Goh Eun Chung, Yoosoo Chang, So Eun Kim, Won Sohn, Seungho Ryu, Yunmi Ko, Youngsu Park, Moon Haeng Hur, Yun Bin Lee, Eun Ju Cho, Jeong-Hoon Lee, Su Jong Yu, Jung-Hwan Yoon, Yoon Jun Kim

    Published 2025-01-01
    “…We developed three prediction models: SLD model 1, which included age and body mass index (BMI); SLD model 2, which included BMI and body fat per muscle mass; and SLD model 3, which included BMI and visceral fat per muscle mass. …”
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  11. 2251

    Risk of All-Cause Mortality in Mild Chronic Obstructive Pulmonary Disease: Evidence From the NHANES III and 2007&ndash;2012 by Zou W, Ou J, Wu F, Xiao S, Deng Z, Li H, Wang Z, Tang G, Liu S, Ye D, Zhu D, Hu J, Ran P

    Published 2025-01-01
    “…We performed subgroup analyses by sex, age, smoking status, race, body mass index, and level of education. We also performed sensitivity analyses using the lower limit of normal to define COPD.Results: 1,760 patients (64.5% male; median aged 59 years) with mild COPD and 19,969 participants with normal spirometry (46.9% male; median aged 43 years) were followed up (median 308 months). …”
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  12. 2252

    Kuiyangling Enema Alleviates Ulcerative Colitis Mice by Reducing Levels of Intestinal NETs and Promoting HuR/VDR Signaling by Zhang D, Zhu Z, He Z, Duan S, Yi Q, Qiu M, Dai X, Su G, Li K, Xu L, Liu D, Wu Y, Gao Y, Li R, Guo S

    Published 2025-01-01
    “…An ELISA kit was utilized to determine cytokine levels, LC-MS was performed to analyze the composition of Kuiyangling, and next-generation sequencing was conducted for detection of the intestinal mucosal transcriptome.Results: Kuiyangling reduced DAI, splenic index, and ROS content; maintained mucosal structure; decreased inflammation; and increased colon length and body mass index. Western blotting indicated that Kuiyangling reduced PAD4,MPO, and citH3 levels. …”
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    The fibrosis-4 index and its association with carotid atherosclerosis in type 2 diabetes: a cross-sectional study in China by Ying Miao, Yu Wang, Qin Wan, Nanwei Tong

    Published 2025-01-01
    “…Additionally, it seeks to determine whether this relationship is influenced by factors including gender, age, body mass index (BMI), hypertension, and other variables. …”
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  15. 2255

    Type 2 diabetes mellitus’ impact on heart failure patients’ exercise tolerance: a focus on maximal fat oxidation during exercise by Huiying Zhu, Huiying Zhu, Jianchao Pan, Jianxuan Wen, Jianxuan Wen, Xiaojing Dang, Xiaojing Dang, Xiankun Chen, Xiankun Chen, Yunxiang Fan, Yunxiang Fan, Weihui Lu, Weihui Lu, Wei Jiang, Wei Jiang

    Published 2025-02-01
    “…After adjusting for age, sex, body mass index (BMI), log N-terminal pro-B type natriuretic peptide (log NT-proBNP), left ventricular ejection fraction (LVEF), hemoglobin, renal function, coronary heart disease and hypertension, the peak VO2 was lower in the T2DM group compared to the non-T2DM group with a mean difference (MD) of −2.0 ml/kg/min [95% confidence interval (CI), −3.18 to −0.82, P &lt; 0.01]. …”
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  16. 2256

    Identifying pre-diabetes ‘hotspots’ in Northern California using geospatial analysis: opportunities to target diabetes prevention strategies and improve health equity by Tannaz Moin, Luis A Rodriguez, Obidiugwu Kenrik Duru, Julie Schmittdiel, Tainayah W Thomas, Maher Yassin, Yelba Castellon-Lopez

    Published 2024-12-01
    “…Objectives The US Preventive Services Task Force recommends screening of adults aged 35–70 with a body mass index ≥25 kg/m2 for type 2 diabetes and referral of individuals who screen positive for pre-diabetes to evidence-based prevention strategies. …”
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    Influencing factors of IgA nephropathy combined with hyperuricemia and a nomogram to predict the risk of hyperuricemia in IgA nephropathy patients by Zhou Jie, Xian Wei-ying, Li Ji-tian, Zeng Jin-cheng

    Published 2025-01-01
    “…There were significant differences in the male proportion (65.82% vs 47.40%), body mass index [BMI, (24.67 ± 4.52)kg/m2 vs (22.28 ± 3.17)kg/m2], hypertension (43.04% vs 23.38%), triglyceride [TG, (2.16 ± 0.61)mmol/L vs (1.72 ± 0.30)mmol/L], white blood cell count [WBC, (7.28 ± 2.06)×109L vs (5.75 ± 1.52)×109L], estimated glomerular filtration rate [eGFR,(66.93 ± 19.85)mL·min-1·(1.73 m2)-1 vs (86.42 ± 22.37)mL·min-1·(1.73 m2)-1] and IgA/C3 [(3.07 ± 0.96) vs (2.35 ± 0.62)] between HUA group and non-HUA group (P<0.05). …”
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  19. 2259

    Evaluation of a peer support group programme for vulnerable host population and refugees living with diabetes and/or hypertension in Lebanon: a before-after study by Leah Anku Sanga, Carla Njeim, Éimhín Ansbro, Rima Kighsro Naimi, Ali Ibrahim, Benjamin Schmid, Jasmin Lilian Diab, Jytte Roswall, Tim Clayton, Lars Bruun Larsen, Pablo Perel

    Published 2025-01-01
    “…To assess the association between the implementation of the PSG strategy and changes in clinical outcomes, including systolic blood pressure (SBP), glycated hemoglobin A1c (HbA1c), and body mass index (BMI), analysis of covariance (ANCOVA) models were used, adjusting for age, sex, and the baseline values of the outcome being analyzed (baseline SBP and baseline HbA1c, respectively). …”
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