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  1. 11481

    The negative aspects of injury on motivation of sports and physical exercise practitioners by Hugo Enrico Souza Machado, Hugo Enrico Souza Machado, Andreza do Socorro Dantas Oliveira, Andreza do Socorro Dantas Oliveira, Eldimberg Souza da Cunha Júnior, Adriano Lopes Lemos, Eduardo Macedo Penna, Eduardo Macedo Penna, Daniel Alvarez Pires, Daniel Alvarez Pires

    Published 2025-02-01
    “…The aim of this study is to describe and compare different dimensions of motivation among injured (IG) and non-injured (NIG) physical exercise and sport practitioners.MethodsA total of 83 participants made part of the study (IG: 52, age: 30.8 ± 8.4 years; NIG: 31, age: 27.5 ± 8.4 years). …”
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  2. 11482

    Hearing loss prevalence and burden of disease in China: Findings from provincial-level analysis by Yu Wang, Yang Xie, Minghao Wang, Mengdan Zhao, Rui Gong, Ying Xin, Jia Ke, Ke Zhang, Shaoxing Zhang, Chen Du, Qingchuan Duan, Fang Wang, Tao Pan, Furong Ma, Xiangyang Hu, Jing Ni

    Published 2025-01-01
    “…Of these, 85.7% were older than age 50 years (99 million people) and 2.4% were younger than 20 years old (2.8 million people). …”
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  3. 11483

    Assessment of mental health literacy using a multifaceted measure among a Chinese rural population by Liang Zhou, Shui-yuan Xiao, Mi Hu, Hui-ming Liu, Yu Yu, Zi-wei Liu, Xi-guang Liu, Joyce P Yang

    Published 2015-10-01
    “…A multistage cluster-sampling method was adopted, leading to a final sampling frame of 2377 residents aged 18–60 years from four villages of Liuyang county. …”
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  4. 11484
  5. 11485

    Predictive value of circulating fibroblast growth factor-23 and Klotho on protein-energy wasting in patients undergoing hemodialysis by Xiaoling Zhou, Yang Luo, Yidan Guo, Meng Jia, Chunxia Zhang, Zhihua Shi, Ye Du

    Published 2025-01-01
    “…PEW was evaluated based on body weight, muscle mass, biochemical data, and protein and energy intake, according to the 2008 criteria from the International Society of Renal Nutrition and Metabolism (ISRNM).ResultsIn this study, 147 hemodialysis patients (mean age 61.05 ± 13.32 years) were enrolled, of whom 66 (44.90%) had PEW. …”
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  6. 11486

    Walking for transport and all-cause mortality: a prospective cohort study of Australian community-dwelling older adults by Rory Wolfe, Neville Owen, Ben Beck, Yang Chen, David W Dunstan, Alice Owen, Robyn L Woods, Danijela Gasevic, Joanne Ryan, Shivangi Shah, Carlene Britt

    Published 2024-04-01
    “…Background Walking for transport may prolong survival in younger and middle-aged adults; however, evidence for older adults is scarce. …”
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  7. 11487

    M1 and M2 Macrophage Polarization Correlates with Activity and Chronicity Indices in Lupus Nephritis by Chutima Chavanisakun, Rassamon Keawvichit, Nontawat Benjakul

    Published 2025-01-01
    “…Moreover, clinical information at the time of the renal biopsy, including age, sex, and laboratory findings, was obtained from the electronic medical records. …”
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  8. 11488
  9. 11489

    Adults with Longstanding Strabismus: Psychosocial and Functional Impacts and Reasons behind Surgery Delay by Rami Al-Omari, Hisham M Jammal, Yousef Khader, Dema Atoum, Wedad Al-dolat, Moawiah Khatatbeh

    Published 2022-01-01
    “…This study included 79 patients aged ≥18 years and had strabismus for at least one year prior to surgical correction and 40 controls without known visual defects. …”
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  10. 11490

    Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid by Huibert Burger, Henk van der Worp, Marco H Blanker, Marjolein Y Berger, Anne Martina Maria Loohuis, Nienke Wessels, Janny Dekker, Alec GGA Malmberg

    Published 2022-07-01
    “…For each participant, we then predicted treatment outcomes and calculated a Personalised Advantage Index (PAI).Results Baseline UI severity (prognostic) and age, educational level and impact on quality of life (modifiers) independently affected treatment effect of eHealth. …”
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  11. 11491

    Prevalence and Predictors of Self-Reported Sexual Abuse in Severely Obese Patients in a Population-Based Bariatric Program by Danielle L. Gabert, Sumit R. Majumdar, Arya M. Sharma, Christian F. Rueda-Clausen, Scott W. Klarenbach, Daniel W. Birch, Shahzeer Karmali, Linda McCargar, Konrad Fassbender, Raj S. Padwal

    Published 2013-01-01
    “…Multivariable logistic regression was performed to identify sexual abuse predictors. Results. The mean age was 43.7 y (SD 9.6), 441 (88.2%) were females, 458 (91.8%) were white, and the mean body mass index (BMI) was 47.9 kg/m2 (SD 8.1). …”
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  12. 11492
  13. 11493

    Clinical features of cystic neutrophil granulomatous mastitis in 62 cases by Mengjie Wang, Dongxiao Zhang, Na Fu, Min Liu, Hongkai Zhang, Shuo Feng, Yifei Zeng, Wenjie Zhao, Jianchun Cui, Khattak Mazher Mansoor

    Published 2025-02-01
    “…Conclusion: This study highlights the occurrence of CNGM in women of childbearing age. Some patients have a history of NPM, hyperprolactinemia and breast trauma. …”
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  14. 11494

    Microbial profile of burn wound injuries in the Northern West Bank − A retrospective cohort study by Sameh Natsha, Hester Lacey, Souad Belkebir, Ann Attili, Aya Atatra, Rawand Daragmeh, Anas Abu-Safa, Baljit Dheansa, Rasha Khayyat

    Published 2025-01-01
    “…Results: n = 244 males and n = 191 females, average age 14.5 years were included. n = 227 had wound swab cultures, n = 80 which were positive. …”
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  15. 11495

    Clinical outcome analysis for surgical fixation versus conservative treatment on rib fractures: a systematic evaluation and meta-analysis by Penglong Zhao, Qiyue Ge, Haotian Zheng, Jing Luo, Xiaobin Song, Liwen Hu

    Published 2025-02-01
    “…Subgroup analyses were performed to assess the effects of fracture type, age, timing of surgical fixation, and study design on treatment outcomes. …”
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  16. 11496

    Unveiling inequalities: Racial, ethnic, and socioeconomic disparities in diabetes: Findings from the 2007-2020 NHANES data among U.S. adults by Yangyang Deng, Mohammad Moniruzzaman, Breanna Rogers, Lu Hu, Ram Jagannathan, Kosuke Tamura

    Published 2025-02-01
    “…Methods: The data came from the National Health and Nutrition Examination Survey (NHANES; N = 30,754, mean age = 47.4) using cross-sectional survey cycles from 2007 to 2008 through 2017–2020. …”
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  17. 11497

    Construire des ressources relationnelles pour franchir des frontières multiples : Trajectoires de jeunes Tunisiens by Hasnia-Sonia Missaoui

    Published 2023-07-01
    “…These trajectories show us first of all the disenchantment of an age group with blurred contours that is linked to the situations of socio-economic injustice that they experience on a daily basis. …”
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  18. 11498

    Spectrum and Clinical Characteristics of Renal Diseases in Ghanaian Adults: A 13-Year Retrospective Study by Perditer Okyere, Isaac Okyere, Richard Kobina Dadzie Ephraim, Joseph Attakorah, Charlotte Osafo, Bernard Arhin, Sarah Bachelle, Albert Abaka-Yawson

    Published 2020-01-01
    “…There was a significant association between CKD and age (p≤0.001). Nephrotic syndrome also showed a significant association with age (p≤0.001). …”
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  19. 11499

    Hsa-miR-532-3p protects human decidual mesenchymal stem cells from oxidative stress in recurrent spontaneous abortion via targeting KEAP1 by Hong Zhou, Jiaxin Zhou, ShanShan Liu, Jing Niu, Jinghua Pan, Ruiman Li

    Published 2025-03-01
    “…Hsa-miR-532-3p is closely related to gestational age and has good predictive value for identifying RSA.…”
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  20. 11500

    Factors Affecting Nonadherence to WHO’s Recommended Antenatal Care Visits among Women in Pastoral Community, Northeastern Ethiopia: A Community-Based Cross-Sectional Study by Kusse Urmale Mare, Abel Gebre Wuneh, Mubarek Shemsu Awol, Mohammed Ahmed Ibrahim, Molla Kahsay Hiluf, Setognal Birara Aychiluhm, Osman Ahmed Mohammed, Kebede Gemeda Sabo

    Published 2022-01-01
    “…Nearly six in ten women do not receive the recommended antenatal care visits, consistent with the national prevalence. Women’s education, age at marriage, type of health facility, possession of mass media, and timing of antenatal care attendance were associated with nonadherence to the recommended antenatal care visits. …”
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