Showing 34,781 - 34,800 results of 39,240 for search '"education"', query time: 0.19s Refine Results
  1. 34781
  2. 34782

    Quality evaluation and influencing factors analysis of 6-minute walking test in coronary heart disease patients (冠心病患者6分钟步行试验质量评价与原因分析) by WANG Shanshan (王珊珊)

    Published 2023-02-01
    “…It is suggested that quality of 6MWT should be strengthened from following aspects: patient health education, kinesiophobia, financial burden, time of conducting 6MWT after PCI and role of cardiac rehabilitation specialist nurses. …”
    Get full text
    Article
  3. 34783
  4. 34784

    Hubungan Status Gizi dengan Status Sosial Ekonomi Keluarga Murid Sekolah Dasar di Daerah Pusat dan Pinggiran Kota Padang Lisbet Rimelfhi Sebataraja, by Lisbet Rimelfhi Sebataraja, Fadil Oenzil, Asterina .

    Published 2014-05-01
    “…Nutritional status associated with Economic level of families, father and mother's education level and number of children in families.…”
    Get full text
    Article
  5. 34785
  6. 34786

    Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes by Bo Hu, Ying Yu, Xin-Wen Yu, Min-Hua Ni, Yan-Yan Cui, Xin-Yu Cao, Ai-Li Yang, Yu-Xin Jin, Sheng-Ru Liang, Si-Ning Li, Pan Dai, Ke Wu, Lin-Feng Yan, Bin Gao, Guang-Bin Cui

    Published 2025-02-01
    “…Results T2D patients exhibited poorer memory, general cognitive function, and executive function compared to healthy controls after controlling age, sex, and education level. In the progression of T2D, functional interaction between brain regions showed abnormalities first, followed by memory tests, the cerebral spontaneous neural activity, and finally the gray matter volume. …”
    Get full text
    Article
  7. 34787

    Improving the provision of clinical pharmacy services in low- and middle-income countries: a qualitative study in tertiary health facilities in Tanzania by Fredrick Kalokola, Dorkasi L Mwakawanga, Ritah F Mutagonda, Hamu J Mlyuka, Wigilya P Mikomangwa, Manase Kilonzi, Wema A Kibanga, Alphonce Ignace Marealle, Bertha Mallya, Deogratias Katabalo, Sofia Sanga, John Rwegasha, Rose Magambo, John Mmassy, Sungwa Kabissi, Josephine A Balati, Peter Maduki, Omary Mashiku Minzi, Appolinary A R Kamuhabwa

    Published 2025-01-01
    “…The reported challenges in providing CPS include healthcare structures, public policies, resources, workforce, culture and education inequalities. This study aimed to explore the strategies to improve the provision of CPS in tertiary health facilities in Tanzania.Methods This study was conducted between August and September 2021. …”
    Get full text
    Article
  8. 34788

    Prevalence of dyslipidemia and its influencing factors among adult residents in Hebei province: a cross-sectional survey by Qianyu LI, Yajing CAO, Lijuan TANG, Yuhuan LIU, Xiaoying LU, Qi QI, Shifan WANG, Xiaoli LIU, Ze CUI

    Published 2024-11-01
    “…Unconditional multivariate logistic regression analysis showed that among adult residents, age ≥ 25 years, current smoking, overweight, obesity, central obesity, body fat percentage ≥ 27.2%, and basal metabolic rate ≥ 1 504 kcal were risk factors for dyslipidemia, whereas female gender, rural residence, and sedentary time of 2 – 4 hours per day were protective factors against dyslipidemia; age ≥ 25 years, college education or higher, current smoking, central obesity, and body fat percentage ≥ 37.9% were risk factors for hypercholesterolemia, whereas a basal metabolic rate of 1 199 – 1 503 kcal was a protective factor; age 25 – 64 years, current smoking, consumption of animal and poultry meat 300 – 500 g per week, overweight, obesity, central obesity, and body fat percentage ≥ 27.2% were risk factors, whereas female gender was a protective factor for hypertriglyceridemia; age ≥ 25 years, central obesity, sedentary time ≥ 2 hours per day, and body fat percentage ≥ 37.9% were risk factors, whereas basal metabolic rate 1 199 – 1 503 kcal was a protective factor for hyper-LDL-C; ethnic minority, current smoking, overweight, obesity, central obesity, physical inactivity, body fat percentage 33.0% – 37.8%, and basal metabolic rate ≥ 1 327 kcal were risk factors, whereas being female, aged 45 – 54 years, living in rural areas, drinking alcohol, consuming livestock and poultry meat > 500 g per week, and being sedentary for ≥ 2 hours per day were protective factors for hypo-HDL-C. …”
    Get full text
    Article
  9. 34789

    Perspectives and Practices of Healthcare Leaders in Supporting Healthcare Worker Well-Being: A Reality Check by Reijmerink IM, van der Laan MJ, Scheele F, Wietasch JKG

    Published 2025-01-01
    “…Iris M Reijmerink,1 Maarten J van der Laan,1 Fedde Scheele,2,3 J K Götz Wietasch4 1Department of Surgery, University Medical Centre Groningen, Groningen, the Netherlands; 2Amsterdam Academic Medical Center, Research in Education, Amsterdam, the Netherlands; 3Athena Institute for Trans-Disciplinary Research, the Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; 4Department of Anaesthesiology, University Medical Centre Groningen, Groningen, the NetherlandsCorrespondence: Iris M Reijmerink, UMCG, Hanzeplein 1, Groningen, 9713GZ, The Netherlands, Tel +316 38 15 85 58, Email i.m.reijmerink@umcg.nlIntroduction: The well-being of healthcare workers (HCWs) is a critical concern. …”
    Get full text
    Article
  10. 34790

    A prospective multi-site study to evaluate the performance and usability of an oral fluid-based HIV self-test in Canada by Richard A. Galli, Darshanand Maraj, Kristin McBain, Jason M. Lo Hog Tian, Abbey McFarland, Wangari Tharao, Nontobeko P. Nkala, Arlene Chan, Mark da Silva, Rejean Thomas, Anne-Fanny Vassal, Martin Lepage, Laurie Ireland, Mike Payne, Jared Starr, Chris Fraser, Marion Selfridge, Mona Loutfy, Roberta Halpenny, Nirubini Jeyarajah, Vanessa Tran, Tony Mazzulli, Sean B. Rourke

    Published 2025-01-01
    “…With respect to sociodemographics: 84% of participants were between 18–45 years of age, 73% had at least a college education, 48% were Cis-male, 45% were employed; and 26% identified as White, 23% as African, Caribbean or Black, 5% as Indigenous [First Nations, Métis or Inuit], 33% as Asian, and 6% as LatinX. …”
    Get full text
    Article
  11. 34791

    RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease by Manuel Lentzen, Srinivasan Vairavan, Marijn Muurling, Vasilis Alepopoulos, Alankar Atreya, Merce Boada, Casper de Boer, Pauline Conde, Jelena Curcic, Giovanni Frisoni, Samantha Galluzzi, Martha Therese Gjestsen, Mara Gkioka, Margarita Grammatikopoulou, Lucrezia Hausner, Chris Hinds, Ioulietta Lazarou, Alexandre de Mendonça, Spiros Nikolopoulos, Dorota Religa, Gaetano Scebba, Pieter Jelle Visser, Gayle Wittenberg, Vaibhav A. Narayan, Neva Coello, Anna-Katharine Brem, Dag Aarsland, Holger Fröhlich, on behalf of RADAR-AD

    Published 2025-01-01
    “…Our approach involved a univariate analysis using Analysis of Covariance (ANCOVA) to analyze individual features of six RMTs while adjusting for variables such as age, sex, years of education, clinical site, BMI and season. Additionally, we employed four machine learning classifiers – Logistic Regression, Decision Tree, Random Forest, and XGBoost – using a nested cross-validation approach to assess the discriminatory capabilities of the RMTs. …”
    Get full text
    Article
  12. 34792

    Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study by Maik JM Beuken, Melanie Kleynen, Susy Braun, Kees Van Berkel, Carla van der Kallen, Annemarie Koster, Hans Bosma, Tos TJM Berendschot, Alfons JHM Houben, Nicole Dukers-Muijrers, Joop P van den Bergh, Abraham A Kroon, Iris M Kanera

    Published 2025-02-01
    “…A significantly higher proportion (475/1149, 41.34%) in cluster 3 received higher vocational or university education in comparison to clusters 1 and 2 combined (729/2979, 24.47%; P<.001). …”
    Get full text
    Article
  13. 34793
  14. 34794

    Eye Collateral Channel Characteristic Analysis and Identification Model Construction of Mild Cognitive Impairment by WU Tiecheng, CAO Lei, YIN Lianhua, HE Youze, LIU Zhizhen, YANG Minguang, XU Ying, WU Jinsong

    Published 2024-02-01
    “…Eligible subjects were matched on a 1∶1 propensity score according to sex, age, and years of education and were divided into MCI group and normal cognition group, with 158 cases in each group. …”
    Get full text
    Article
  15. 34795

    Relationship between internet gaming disorder, interpersonal needs, loneliness, and depression among adolescents using a chain mediation model by GAO-QU Yige, MUZAI Baier, DONG Jingwen, ZHAO Yuxi, ZHU Pengyu, GU Xicheng, LIU Shangbin, CAI Yong, YUAN Dong, WANG Ying

    Published 2024-11-01
    “…The survey was conducted with a questionnaire consisting of general information (sex, age, grade, parents’ education level), the Chinese version of the IGDS9-SF, the INQ-15, the short-form of the ULS-8 and the PHQ-9 were used to evaluate the depression status of adolescents. …”
    Get full text
    Article
  16. 34796
  17. 34797

    Epilog sau despre „cazul” Laurenţiu Fulga by Nina Arhip

    Published 2008-12-01
    “…Depuis octobre 1945 il est rédacteur à « Glasul Armatei » (« La Voix de l’Armée »), responsable de « l’éducation politique ». Malgré ses efforts de suivre la ligne politique, en septembre 1948 Laurenţiu Fulga est arrêté. …”
    Get full text
    Article
  18. 34798
  19. 34799
  20. 34800

    Anticholinergic burden and behavioral and psychological symptoms in older patients with cognitive impairment by Sabrina Pistorio, Gianluca Scotto di Tella, Vittoria Canzanella, Raffaella Merenda, Gianluigi Cuomo, Paola Iacotucci, Vincenzo Carnovale, Leonardo Bencivenga, Maria Vargas, Annalaura Manes, Mauro Cataldi, Giuseppe Rengo, Giuseppe Rengo, Michela Zanetti, Grazia Daniela Femminella, Grazia Daniela Femminella

    Published 2025-02-01
    “…No statistically significant differences were found between the two groups in terms of demographics (age, sex) and anamnestic variables (education, marital status, family history of dementia, hypertension, diabetes, smoking, dyslipidemia, atrial fibrillation, coronary heart disease and use of alcohol). …”
    Get full text
    Article