Showing 461 - 480 results of 4,937 for search '"Ageing"', query time: 0.06s Refine Results
  1. 461

    Evaluasi Deskriptif Umur Panen Melon (Cucumis melo, L) Di Pekanbaru by Surtinah Surtinah

    Published 2018-04-01
    Subjects: “…Harvest age, Melon, Water stress, Analytic Descriptive…”
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    Article
  2. 462

    Healthy Eating: Calcium by Linda B. Bobroff

    Published 2017-09-01
    Subjects: “…aging…”
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    Article
  3. 463
  4. 464
  5. 465

    Healthy Eating: Calcium by Linda B. Bobroff

    Published 2017-09-01
    Subjects: “…aging…”
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    Article
  6. 466
  7. 467

    Clinical Outcome of Medial Meniscal Posterior Root Tear Repaired by Arthroscopic Transtibial Pull-through Technique in a Middle-aged Population – A Case Series by Selvaraj Ramalingam, K. Arvind Kumar, Gopinath Duraisamy, P. Stephen Bush

    Published 2023-07-01
    “…Aim: The aim of this study was to evaluate the clinical outcome of medial meniscal posterior root tears treated with arthroscopic transtibial pull-through technique in a middle-aged population. Materials and Methods: Patients with medial meniscus posterior root tears admitted to our facility between 2020 and 2022 were included in this study. …”
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  8. 468
  9. 469

    Trends and determinants of obesity among ever-married women aged 15–49 in India: insights from National Family Health Surveys (NFHS 1998–2021) by Aditya Singh, Sadanand Karun, Mahashweta Chakrabarty, Rakesh Chandra, Shivani Singh

    Published 2025-02-01
    “…Conclusion The surge in obesity among Indian ever married women of reproductive age calls for immediate public health measures. …”
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  10. 470
  11. 471

    Spatial distribution and determinants of children ever born among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini Ethiopian demographic health survey by Ahmed Fentaw Ahmed, Bezawit Adane, Tilahun Degu Tsega, Mekides Nigusu, Kalaab Esubalew Sharew, Abebaw Molla, Mulugeta Tesfa

    Published 2025-02-01
    “…The study comprised 5527 (weighted) women's between the ages of 15 and 49. STATA and Aeronautical Reconnaissance Coverage Geographic Information System (ArcGIS) 10.8 software was used. …”
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  12. 472
  13. 473

    Prevalence of root caries in relation to various risk factors in a sample of subjects aged (25-64) years in Erbil city: A cross sectional study by Tara Kamal Talib, Vian Omer Majeed

    Published 2020-12-01
    “…Results: The results of this study showed that the prevalence of root caries was (22.3%) and the mean value of root caries was (33.650±16.504) in the whole sample with statistically significant age differences of both. Males were more prevalent in root surface caries than females with significant differences. …”
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  14. 474
  15. 475

    Association Between Dietary Inflammatory Index and Triglyceride Glucose-Body Mass Index with Iron Deficiency in Reproductive Age Women: Evidence from NHANES 2005-2018 by Ding J, Xu Z, Liang R, Xie S

    Published 2025-02-01
    “…This study explores the association between DII and triglyceride glucose-body mass index (TyG-BMI) with ID in reproductive-age women.Methods: This analysis utilized data from 2311 reproductive-age women in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. …”
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  16. 476

    Evaluation of the cleaning efficacy of a normal toothbrush and a manual U shaped toothbrush in children aged 8–10 years: A randomized crossover trial by Shital Kiran Davangere Padmanabh, Vishakha Bhausaheb Gangurde

    Published 2023-07-01
    “…Aim: The study aimed to determine the efficacy of a manual U-shaped toothbrush when compared to a regular toothbrush in removing dental plaque from teeth in children aged 8–10 years. Materials and Methods: Our research included 40, 8–10-year-old children. …”
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  17. 477

    Heterogeneous association of health with patient and general practice characteristics by region, age and chronic condition: pooled cross-sectional study of patient-level data from England by Hugh Gravelle, Yan Feng, Vladimir Sergeevich Gordeev

    Published 2025-02-01
    “…White ethnicity is associated with worse health up to age 64 and better health from age 65, with better health in five of the eight chronic condition samples, and in the regional samples except for London and Yorkshire and Humber regions. …”
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  18. 478

    Types of electronic nicotine delivery systems (ENDS) used by people of different age and smoking status groups: results from a US nationally representative survey by Lucy Popova, Robert T Fairman, David L Ashley, Zachary B Massey, Bai Cham, Ruiyan Luo, Mohammed Alqahtani, Scott Weaver

    Published 2025-02-01
    “…Objectives The type of electronic nicotine delivery system (ENDS) used by different age groups may be associated with ENDS and cigarette use behaviours. …”
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  19. 479

    Anti-vascular Endothelial Growth Factor Outpatient Treatment Patterns in Patients with Exudative Age-related Macular Degeneration from a Japanese Hospital Claims Database by Tomohiro Iida, Aya Narimatsu, Kenji Adachi, Edward CY Wang

    Published 2014-07-01
    “…**Purpose:** To identify outpatient treatment patterns of patients with exudative age-related macular degeneration (AMD) who received approved anti–vascular endothelial growth factor (VEGF) therapy, using real-world data from hospitals in Japan. …”
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  20. 480

    International norms for adult handgrip strength: A systematic review of data on 2.4 million adults aged 20 to 100+ years from 69 countries and regions by Grant R. Tomkinson, Justin J. Lang, Lukáš Rubín, Ryan McGrath, Bethany Gower, Terry Boyle, Marilyn G. Klug, Alexandra J. Mayhew, Henry T. Blake, Francisco B. Ortega, Cristina Cadenas-Sanchez, Costan G. Magnussen, Brooklyn J. Fraser, Tetsuhiro Kidokoro, Yang Liu, Kaare Christensen, Darryl P. Leong, Mette Aadahl, Edimansyah Abdin, Julian Alcazar, Aqeel Alenazi, Bader Alqahtani, Cledir De A. Amaral, Thatiana L.M. Amaral, Alex Andrade Fernandes, Peter Axelsson, Jennifer N. Baldwin, Karin Bammann, Aline R. Barbosa, Ameline Bardo, Inosha Bimali, Peter Bjerregaard, Martin Bobak, Colin A. Boreham, Klaus Bös, João Carlos Bouzas Marins, Joshua Burns, Nadezda Capkova, Lilia Castillo-Martínez, Liang-Kung Chen, Siu Ming Choi, Rebecca K.J. Choong, Susana C. Confortin, Cyrus Cooper, Jorge E. Correa-Bautista, Amandine Cournil, Grace Cruz, Eling D. de Bruin, José Antonio De Paz, Bruno De Souza Moreira, Luiz Antonio Dos Anjos, María Cristina Enríquez Reyna, Eduardo Ferriolli, Gillian Forrester, Elena Frolova, Abadi K. Gebre, Atef M. Ghaleb, Tiffany K. Gill, Yasuyuki Gondo, M. Cristina Gonzalez, Citlali Gonzalez Alvarez, Mary K. Hannah, Nicholas C. Harvey, Jean-Yves Hogrel, Marie-Theres Huemer, Toshiko Iidaka, Lewis A. Ingram, Dmitri A. Jdanov, Victoria L. Keevil, Wolfgang Kemmler, Rose Anne Kenny, Dae-Yeon Kim, Tracy L. Kivell, Ingirid G.H. Kjær, Alexander Kluttig, Rumi Kozakai, Danit Langer, Lisbeth A. Larsen, Wei-Ju Lee, David A. Leon, Eric Lichtenstein, Bertis B. Little, Roberto Alves Lourenço, Rahul Malhotra, Robert M. Malina, Kiyoaki Matsumoto, Tal Mazor-Karsenty, Marnee J. McKay, Sinéad McLoughlin, Abhishek L. Mensegere, Mostafa Mohammadian, Virgilio Garcia Moreira, Hiroshi Murayama, Anne Murray, Anita Liberalesso Neri, Claudia Niessner, Gabriel Núñez Othón, Gabriel Olveira, Suzanne G. Orchard, Andrezj Pajak, Chan Woong Park, Julie A. Pasco, Maria E. Peña Reyes, Leani Souza Máximo Pereira, Annette Peters, Eric Tsz-Chun Poon, Margareth C. Portela, Jedd Pratt, Robinson Ramírez-Vélez, Wendy Rodríguez-García, Joanne Ryan, Mauricio A. San-Martín, Francisco José Sánchez-Torralvo, Mahnaz Saremi, Arno Schmidt-Trucksäss, Satoshi Seino, Shamsul Azhar Shah, Marc Sim, Bjørn Heine Strand, Mythily Subramaniam, Charlotte Suetta, Sophia X. Sui, Jonas S. Sundarakumar, Koya Suzuki, Abdonas Tamosiunas, Maw Pin Tan, Yu Taniguchi, Barbara Thorand, Anna Turusheva, Anne Therese Tveter, Jonathan Wagner, Dao Wang, Stuart J. Warden, Julia Wearing, Shiou Liang Wee, Leo D. Westbury, Agnieszka Wiśniowska-Szurlej, Alexander Woll, Noriko Yoshimura, Ruby Yu

    Published 2025-12-01
    “…Background: Muscular strength is a powerful marker of current health status and robust predictor of age-related disease and disability. Handgrip strength (HGS) using isometric dynamometry is a convenient, feasible, and widely used method of assessing muscular strength among people of all ages. …”
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