Showing 81 - 100 results of 114 for search 'fitness model (person)', query time: 0.12s Refine Results
  1. 81

    Identification and validation of occupational stress factors for employees of the electricity distribution company of Ilam province by Ardeshir Shiri

    Published 2024-09-01
    “…The confirmatory factor analysis method was used to validate the stress factors model of the career of employees. The fit index of the model is the chi square ratio to the degree of freedom of 1.81; and the GFI, AGFI, NFI, and IFI indices are estimated at 0.99, 0.85, 0.97, and 0.98, respectively; and the index RMSEA was also 0.05, which confirms the appropriate fit of the estimated model. …”
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  2. 82

    Maternal HIV retesting during antenatal care in selected health facilities in Mayuge district, Uganda: A cross-sectional study. by Farouq Kayiwa, Elizabeth Nabiwemba, Nelson Bunani, Rawlance Ndejjo

    Published 2025-01-01
    “…The data were collected through in-person interviews or by phone. Descriptive data were reported for the sample, and multivariable modified Poisson regression models were fitted to estimate prevalence ratios for factors associated with HIV re-testing. …”
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  3. 83

    Psychometric Properties of the Dental Activities Test: An Exploratory Factor Analysis in Older Adults with Cognitive Impairment by Xi Chen, Wen Liu

    Published 2018-01-01
    “…Two-factor structures were explored. A one-factor model demonstrated acceptably mixed model fit, and a two-factor model had good model fit with moderate correlation between the two factors (r=0.667, p<0.05). …”
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  4. 84

    Returning to the emergency department: a retrospective analysis of mental health re-presentations among young people in New South Wales, Australia by Rebecca Ivers, Michael Dinh, Patricia Cullen, Bette Liu, Katharine Steinbeck, Natasha Walker, Robert Neil Leong

    Published 2022-06-01
    “…Objectives This study aimed to describe mental health emergency department (ED) presentations among young people aged 8–26 years in New South Wales, Australia, and to identify key characteristics associated with higher risk of ED mental health re-presentation.Design, setting and participants Retrospective analysis of linked ED data records for mental health presentations between 1 January 2015 and 30 June 2018.Main outcome measures The main outcome was the total number of mental health ED re-presentations within 1 year, following initial presentation. Count regression models were fitted to estimate factors associated with higher likelihood of re-presentations.Results Forty thousand two hundred and ninety patients were included in the analyses, and 9713 (~25%) re-presented during the following year; 1831 (20%) presented at least three times. …”
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  5. 85

    Incidence of opportunistic infections and its predictors among HIV/AIDS patients on antiretroviral therapy in Gondar University Comprehensive and Specialized Hospital, Ethiopia by Mequanente Dagnaw, Haileab Fekadu, Adhanom Gebre Egziabher, Tesfaye Yesfue, Meera Indracanti, Alemu Tebeje

    Published 2023-12-01
    “…To identify risk predictors of opportunistic infections, bivariate and multivariate semi-parametric and parametric regression models were fitted. Result: This study included the records of 715 HIV-infected adults-initiated ART between January 11, 2015, to January 10, 2021. …”
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  6. 86

    Antecedents and consequences of professional competence of school administrators with emphasis on environmental sustainability and sustainable development by mohamadreza rasouli, ghafar tari, hossein Baghaei

    Published 2024-09-01
    “…For testing the research model, the Structural Equation Modeling (SEM) technique using PLS-Smart 3 statistical software was used, and the results indicated a good fit of the model. …”
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  7. 87

    Research on the Correlation between Multisource Big Data Virtual Assisted Preschool Education and the Development of Children’s Innovative Ability by Tuo Meimei, Long Baoxin

    Published 2022-01-01
    “…The survey results of the influencing factors of children’s innovation ability match the theoretical hypothesis, and different influencing factors have different effects on each dimension of children’s innovation ability. Through the basic fit index of the model, the evaluation of the external quality of the model and the test of the internal quality of the model, it is shown that the survey results of the influencing factors of children’s innovation ability match the theoretical hypothesis. …”
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  8. 88

    Developing and validation of religious education curriculum in preschool by Zeinab Ashrafi Soltan-Ahmadi, Sadegh Maleki Avarsin, Javad Keyhan, jahangir yari

    Published 2024-09-01
    “…The results showed that the identified characteristics can predict religious education curriculum components in a favorable way (R2=0.552). Finally, the fit of the overall research model was confirmed (GOF=0.438).Extended abstractIntroductionEducation is the most important and basic aspect of human life. …”
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  9. 89

    Age of First Suicide Attempt in Men and Women: An Admixture Analysis by Hilario Blasco-Fontecilla, Analucia A. Alegria, David Delgado-Gomez, Teresa Legido-Gil, Jeronimo Saiz-Ruiz, Maria A. Oquendo, Enrique Baca-Garcia

    Published 2012-01-01
    “…We used admixture analysis to determine the best-fitting model for the age at onset of suicide attempts separated by sex. …”
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  10. 90

    Validation of the death reflection scale among older people by Lukas Richter, Lukas Richter

    Published 2025-02-01
    “…A total of 1,806 individuals completed the survey.ResultsConfirmatory factor analysis showed a good fit of the originally proposed 5-factor (CFI 0.949, SRMR 0.058, RMSEA 0.070) and bi-factor model (CFI 0.956, SRMR 0.067, RMSEA 0.067) with a general factor and five subscales. …”
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  11. 91

    Development and validation of a dynamic nomogram to predict alexithymia in young and middle aged stroke patients by Tinglin Zhang, Feiyang Sun, Xiaodie Ma, Yaoyao Liu, Fangyan Li, Lei Zhang

    Published 2025-01-01
    “…This tool has the potential to significantly improve rehabilitation outcomes by supporting personalized therapeutic strategies and interventions.…”
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  12. 92

    Factor Structure of the Scale of Sensed Parental Competencies: Version for parents (ECPP-p) by Yannet Valencia-Chacón

    Published 2022-12-01
    “…Results: An adequate fit was obtained to the model of five factors, X2 = 406.47, CFI = .96, TLI =0.95, RMSEA =0.068. …”
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  13. 93

    A Nomogram Built on Clinical Factors and CT Attenuation Scores for Predicting Treatment Response of Acute Myeloid Leukemia Patients by Linna Liu, Wenzheng Lu, Li Xiong, Han Qi, Robert Peter Gale, Bin Yin

    Published 2025-01-01
    “…This model offers strong discriminatory ability and could enhance personalized treatment planning and prognosis prediction for AML.…”
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  14. 94

    Adaptability and Self-Organization of the Doctoral Training System by T. A. Starshinova

    Published 2022-01-01
    “…Such adaptation can take place according to the model of expanding influence, simultaneously at two levels – personal (subject-subjective) and organizational and managerial. …”
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  15. 95

    Seismic Fragility Analysis of the Reinforced Concrete Continuous Bridge Piers Based on Machine Learning and Symbolic Regression Fusion Algorithms by Hanbo Zhu, Changqing Miao

    Published 2021-01-01
    “…In the fragility analysis, researchers mostly chose and constructed seismic intensity measures (IMs) according to past experience and personal preference, resulting in large dispersion between the sample of engineering demand parameter (EDP) and the regression function with IM as the independent variable. …”
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  16. 96

    Autotransplantation of a Third Molar to Replace Compromised Molar With the Individual Three-Dimensional Printed Ultrasonic Osteotome: A Case Report by Cheng Bi, Wen Zhang, Bin Peng

    Published 2025-01-01
    “…The alveolar socket, prepared with the personalized ultrasonic osteotome, ensured an optimal fit for the donor tooth, maintaining its stability and minimizing postoperative complications. …”
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  17. 97

    Self-Esteem and Family Communication as Predictors of Satisfaction with Studies in University Students from the Southern Region of Peru by Victor Canqui, Josue Edison Turpo-Chaparro, Oscar Mamani-Benito, Ronald Castillo-Blanco, Nancy Casildo-Bedón, Renzo Carranza-Esteban

    Published 2025-01-01
    “…The results show that the proposed model had a good fit (X2 = 582.26, df = 224, p < .001, TLI = 941, CFI = .948, RMSEA = .055, RMR = .041), evidencing that self-esteem and family communication significantly predict (p < .001) satisfaction with the studies. …”
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  18. 98

    Can Obesity Prevalence Explain COVID-19 Indicators (Cases, Mortality, and Recovery)? A Comparative Study in OECD Countries by Yuval Arbel, Chaim Fialkoff, Amichai Kerner, Miryam Kerner

    Published 2022-01-01
    “…In an attempt to test the counterintuitive possibility of an obesity survival paradox, the proposed empirical model relaxes the assumption of monotonic change by applying the quadratic design and testing which one of the two competing models (i.e., quadratic or linear) better fits the data. …”
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  19. 99

    Confirmatory Factor Analysis of the Motor Unified Parkinson’s Disease Rating Scale by Stefanie D. Vassar, Yvette M. Bordelon, Ron D. Hays, Natalie Diaz, Rebecca Rausch, Cherry Mao, Barbara G. Vickrey

    Published 2012-01-01
    “…We performed confirmatory factor analysis of the UPDRS for OFF and ON state examinations; correlations, reliability, and relative validity of resulting subscales were evaluated. A model with five factors (gait/posture, tremor, rigidity, bradykinesia affecting the left extremities, bradykinesia affecting the right extremities) fit the data well, with similar results for OFF and ON states. …”
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  20. 100

    Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

    Published 2025-01-01
    “…Overall, this work bears implications for better analysis of individual variability in disease progression, opening doors to personalized preventative, diagnostic and therapeutic strategies.…”
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