Showing 2,521 - 2,540 results of 24,348 for search '"The Age"', query time: 0.12s Refine Results
  1. 2521
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    Risk Factors for Macro- and Microvascular Complications among Older Adults with Diagnosed Type 2 Diabetes: Findings from The Irish Longitudinal Study on Ageing by Marsha L. Tracey, Sheena M. McHugh, Anthony P. Fitzgerald, Claire M. Buckley, Ronan J. Canavan, Patricia M. Kearney

    Published 2016-01-01
    “…To explore risk factors for macro- and microvascular complications in a nationally representative sample of adults aged 50 years and over with type 2 diabetes in Ireland. …”
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  4. 2524

    Age and Sex Variation in the Duration of Action and Corneal Touch Threshold (CTT) following Instillation of 0.5% Topical Ophthalmic Proparacaine and Tetracaine Hydrochlorides by Samuel Kyei, Nana Yaw Abaka Dadzie, Ebenezer Zaabaar, Kwasi Antwi Asamoah Dwomoh, Kofi Asiedu

    Published 2021-01-01
    “…We investigated the effect of age and sex on corneal touch threshold (CTT) and duration of action following administration of 0.5% topical ophthalmic proparacaine and tetracaine hydrochlorides. …”
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  5. 2525
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    Impact of Low PM2.5 Exposure on Asthma Admission: Age-Specific Differences and Evidence from a Low-Pollution Environment in China by Xiaolong Fan, Chen Yang, Jinsheng Chen, Yuping Chen, Gaojie Chen, Ziyi Lin, Zecong Li, Yanting Chen, Liqian Yin, Lingling Xu, Naian Xiao

    Published 2023-12-01
    “…Stratified analysis revealed significant effects in children aged 0–4 years (OR = 2.029, 95% CI = 1.359–3.031) and the elderly population aged over 75 years (OR = 1.399, 95% CI = 1.092–1.793). …”
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  10. 2530

    Changes in body composition (muscle mass and adipose tissue) among adolescents aged 11–15 from Kraków during the COVID-19 pandemic by Paulina Artymiak, Magdalena Żegleń, Łukasz Kryst

    Published 2025-01-01
    “…Study aim: To assess changes in body composition, specifically focusing on muscle mass and adipose tissue, among adolescents aged 11–15 in Kraków during the COVID-19 pandemic. …”
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  11. 2531

    Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study by S. Jai Karthik, Shajith Anoop, R. Suresh Kumar, M. V. Usha Rani

    Published 2018-01-01
    “…T2DM patients (n=232, mean age: 50.6±10.4 years) with periodontitis (n=123, mean age: 54.3±2.4 years) and without periodontitis (n=109, mean age: 55.2±3.1 years) were recruited between 2014 and 2016 by purposive sampling method. …”
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  12. 2532

    Newborn Mice Vaccination with BCG.HIVA222 + MVA.HIVA Enhances HIV-1-Specific Immune Responses: Influence of Age and Immunization Routes by Narcís Saubi, Eung-Jun Im, Raquel Fernández-Lloris, Olga Gil, Pere-Joan Cardona, Josep Maria Gatell, Tomáš Hanke, Joan Joseph

    Published 2011-01-01
    “…We have evaluated the influence of age and immunization routes for induction of HIV-1- and M. tuberculosis-specific immune responses after neonatal (7 days old) and adult (7 weeks old) BALB/c mice immunization with BCG.HIVA222 prime and MVA.HIVA boost. …”
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    Abdominal fat distribution and its relationship to brain changes: the differential effects of age on cerebellar structure and function: a cross-sectional, exploratory study by Yvonne Böttcher, Michael Stumvoll, Kees Straatman, Matthias Raschpichler, Matthias Leopold Schroeter, Katrin Arelin, Haiko Schlögl, Dominik Fritzsch, Meinhard Mende, André Pampel, Arno Villringer, Karsten Mueller

    Published 2013-01-01
    “…Moreover, we aimed to investigate whether these effects change with age.Design Cross-sectional, exploratory.Setting University Clinic, Integrative Research and Treatment Centre.Participants We included 100 (mean BMI=26.0 kg/m², 42 women) out of 202 volunteers randomly invited by the city's registration office, subdivided into two age groups: young-to-mid-age (n=51, 20–45 years of age, mean BMI=24.9, 24 women) versus old (n=49, 65–70 years of age, mean BMI=27.0, 18 women).Main outcome measures VAT, BMI, subcutaneous abdominal adipose tissue, brain structure (grey matter density), functional brain architecture (eigenvector centrality, EC).Results We discovered a loss of cerebellar structure with increasing VAT in the younger participants, most significantly in regions involved in motor processing. …”
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    Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

    Published 2024-01-01
    “…This study examined the preliminary accuracy of machine learning models trained on iPad sensor data to identify the unique user of the device in a sample of children ages 6 to 11. Data was collected opportunistically from nine participants (8.2 ± 1.75 years, 5 female) in the sedentary portion of two semistructured physical activity protocols. …”
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    Impact of HPV Catch-Up Vaccination on High-Grade Cervical Lesions (CIN2+) Among Women Aged 26–30 in Northern Norway by Amanda Sørensen Jørgensen, Gunnar Skov Simonsen, Sveinung Wergeland Sørbye

    Published 2025-01-01
    “…Methods: We analyzed data from 40,617 women aged 26 to 30 who underwent cervical screening between 2009 and 2023 in Troms and Finnmark, including 1850 women with high-grade cervical lesions (CIN2+) on biopsy. …”
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