Showing 4,741 - 4,760 results of 17,993 for search 'Strood~', query time: 2.36s Refine Results
  1. 4741

    Overweight and obesity among adolescents: health-conscious behaviours, acceptance, and the health behaviours of their parents by Anna Lewandowska, Grzegorz Rudzki, Tomasz Lewandowski, Anna Bartosiewicz, Michał Próchnicki, Aleksandra Stryjkowska-Góra, Barbara Laskowska, Małgorzata Sierpińska, Sławomir Rudzki, Sergii Pavlov

    Published 2025-02-01
    “…Methods A cross-sectional study was conducted per the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. A convenience sampling method was used, and the study was conducted among adolescents with excess body weight and their parents, as well as adolescents with normal body weight. …”
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  2. 4742

    Lipoprotein (a) levels in children with heterozygous familial hypercholesterolemia by Liliya F. Galimova, Dinara I. Sadykova, Evgeniia S. Slastnikova, Chulpan D. Khaliullina, Karina R. Salakhova

    Published 2024-12-01
    “…Coronary artery disease was diagnosed in 84% (102) of parents, 89% (109) had atherosclerosis of brachiocephalic arteries, and 6.6% (8) had cerebrovascular accident (atherothrombotic stroke). The analysis revealed a significantly increased Lp(a) levels in FH patients (14.8 [6.3–24.3] mg/dL) compared to the control group (10.8 [5.5–14.8] mg/dL, p=0.0002). …”
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  3. 4743
  4. 4744
  5. 4745

    Effect of gonadectomy and estradiol on the expression of insulin signaling cascade genes in female and male mice by T. V. Iakovleva, N. E. Kostina, E. N. Makarova, N. M. Bazhan

    Published 2020-07-01
    “…It is believed that these sex differences are due to a protective effect of estradiol in females, but not in males. Estradiol is a steroid hormone, and its effect is due to the modulation of target gene expression, but the effect of estradiol on the expression of genes encoding insulin signal transduction and glucose transport has not been sufficiently studied. …”
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  6. 4746
  7. 4747

    Mapping neutron biological effectiveness for DNA damage induction as a function of incident energy and depth in a human sized phantom by Alice Mentana, Virgilio Quaresima, Pavel Kundrát, Isabella Guardamagna, Leonardo Lonati, Ombretta Iaria, Andrea Previtali, Giorgia Santi Amantini, Luca Lunati, Virginia Boretti, Livio Narici, Luca Di Fino, Luca Bocchini, Claudio Cipriani, Giorgio Baiocco

    Published 2025-01-01
    “…In particular, two classes of DNA damage were considered: sites and clusters of double-strand breaks (DSBs), which are known to be correlated with cell fate following radiation exposure. …”
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  8. 4748

    Combined Therapy of Catheter Ablation and Left Atrial Appendage Closure for Patients with Atrial Fibrillation: A Case-Control Study by Bin-Feng Mo, Jian Sun, Peng-Pai Zhang, Wei Li, Mu Chen, Jia-Li Yuan, Yi Yu, Qun-Shan Wang, Yi-Gang Li

    Published 2020-01-01
    “…At the end of follow-up, ischemic stroke and bleeding events of the combined group were low (3.9%) and were comparable with those of the CA-only group (5.3%) and the LAAC-only group (2.6%). …”
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  9. 4749
  10. 4750

    Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

    Published 2025-02-01
    “…Using baseline characteristics and changes over a four-year observation period, we developed the ML-CVD-C (Machine Learning Cardiovascular Disease in Chinese) score to predict 10-year cardiovascular risk, including cardiovascular death, nonfatal myocardial infarction, and stroke. We compared the discrimination and calibration of ML-CVD-C with models using only baseline variables (ML-CVD-C [base]), China-PAR (Prediction for ASCVD Risk in China), and PREVENT (Predict Risk of cardiovascular disease EVENTs). …”
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  11. 4751
  12. 4752

    Does diabetes modify the triglyceride–glucose index associated with cardiovascular events and mortality? A meta-analysis of 50 cohorts involving 7,239,790 participants by Jun Zhang, Qiye Zhan, Zhihao Deng, Ling Lin, Zhaolan Feng, Huabin He, Deju Zhang, Huilei Zhao, Xiang Gu, Xiaoping Yin, Peng Yu, Xiao Liu

    Published 2025-01-01
    “…The associations between the TyG index and cardiovascular events (HR: 1.72 vs. 1.55, P = 0.55), major adverse cardiovascular and cerebrovascular events (HR: 2.02 vs. 1.91, P = 0.84), stroke (HR: 1.46 vs. 1.39, P = 0.77) and cardiovascular death (HR: 1.85 vs. 1.60, P = 0.56) were similar among DM and non-DM individuals. …”
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  13. 4753
  14. 4754
  15. 4755

    Differences between private and public primary health care centers and differences between men and women in antihypertensive care and cardiovascular prevention in all patients with... by Per Wändell, Anders Norrman, Julia Eriksson, Charlotte Ivarsson, Hrafnhildur Gudjonsdottir, Maria Hagströmer, Lena Lundh, Jan Hasselström, Boel Brynedal, Christina Sandlund, Axel C. Carlsson

    Published 2025-01-01
    “…Differences in comorbidities between men and women were found, with higher frequencies of coronary heart disease, congestive heart failure, atrial fibrillation, stroke, diabetes, and gout among men. Regarding antihypertensive treatment, women received less treatment of calcium channel blockers and ACE inhibitors, but more of angiotensin receptor blockers. …”
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  16. 4756

    Deciphering the Transcriptional Metabolic Profile of Adipose-Derived Stem Cells During Osteogenic Differentiation and Epigenetic Drug Treatment by Giulia Gerini, Alice Traversa, Fabrizio Cece, Matteo Cassandri, Paola Pontecorvi, Simona Camero, Giulia Nannini, Enrico Romano, Francesco Marampon, Mary Anna Venneri, Simona Ceccarelli, Antonio Angeloni, Amedeo Amedei, Cinzia Marchese, Francesca Megiorni

    Published 2025-01-01
    “…<i>In silico</i> annotation and gene ontology analysis highlighted the activation of ethanol oxidation, ROS regulation, retinoic acid metabolism, and steroid hormone metabolism, as well as in the metabolism of lipids, amino acids, and nucleotides, and pinpointed potential new osteogenic drivers like AOX1 and ADH1A. …”
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  17. 4757

    Revealing the Neuroimaging Mechanism of Acupuncture for Poststroke Aphasia: A Systematic Review by Boxuan Li, Shizhe Deng, Bomo Sang, Weiming Zhu, Bifang Zhuo, Menglong Zhang, Chenyang Qin, Yuanhao Lyu, Yuzheng Du, Zhihong Meng

    Published 2022-01-01
    “…Aphasia is a common symptom in stroke patients, presenting with the impairment of spontaneous speech, repetition, naming, auditory comprehension, reading, and writing function. …”
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  18. 4758
  19. 4759

    Tissue Doppler echocardiography predicts long-term cardiovascular mortality: the Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT) legacy 20-year follow-up study by Simon Thom, Alice Stanton, Jamil Mayet, Amit Kaura, Darrel Francis, Anoop SV Shah, Andrew Sharp, Alun D Hughes, Neil R Poulter, Anenta Ratneswaren, Tong Wu, Somayeh Rostamian, Devan Wasan, PS Sever

    Published 2025-02-01
    “…Cardiovascular mortality was defined as death from coronary heart disease, stroke and other cardiovascular aetiology such as heart failure or peripheral vascular disease. …”
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  20. 4760

    Prevalence of Hypertension and Associated Factors in Lubumbashi City, Democratic Republic of Congo: A Community-Based Cross-Sectional Study by Jacques Mbaz Musung, Placide Kambola Kakoma, Clarence Kaut Mukeng, Stéphane Lubamba Tshimanga, Jeef Paul Munkemena Banze, Nathalie Kayomb Kaj, Martin Kazadi Kamuna, Jimmy Kasali Mwamba, Dophra Ngoy Nkulu, Philippe Bianga Katchunga, Olivier Mukuku, Emmanuel Kiyana Muyumba

    Published 2021-01-01
    “…After logistic regression, the risk of hypertension increased with age >50 years (aOR = 5.85 [5.19–6.60]), overweight (aOR = 1.25 [1.11–1.41]), obesity (aOR = 1.25 [1.11–1.41]), central obesity (aOR = 1.37 [1.16–1.61]), diabetes mellitus (aOR = 2.19 [1.63–2.95]), alcohol consumption (aOR = 1.21 [1.05–1.39]), nonconsumption of vegetables (aOR = 1.35 [1.02–1.80]), and history of stroke (aOR = 2.57 [1.88–3.51]). Hypertension was inversely associated with being underweight (aOR = 0.68 [0.53–0.87]). …”
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