Showing 221 - 240 results of 256 for search '"middle school"', query time: 0.09s Refine Results
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    IDENTIFICATION OF CHARACTERISTICS OF SCHIZOPHRENIA PATIENTS IN MENTAL HOSPITAL by Rindayati Rindayati, Abd Nasir, Yeri Kurniawan, Iswatun Iswatun, Susilo Harianto, Sofiatun Sofiatun, Firsca Nur Fadilah

    Published 2024-10-01
    “…Conclusions: Characteristics of schizophrenic patients, most of them are adults, men, not working, lower middle school education, and not married. Identification of important characteristics is used as basic information in early patient treatment.…”
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  4. 224

    The Impact of Maternal Age and Educational Level on Developmental Dysplasia of the Hip Diagnosis and Screening: A Descriptive Comparative Study by Moh’d S. Dawod, Mohammad N. Alswerki, Amr Z. Abuqudiri, Ashraf A. Albadaineh, Leena M. Mahmoud, Dania J. Altarawneh, Nour H. Rbeihat, Rogayah M. Alkhanazreh

    Published 2023-01-01
    “…The mean maternal age was 27.9 years, about one third of the mothers had a graduate level of education (36.3%), while 41.1% had high school education, and 22.3% had middle school education. On the other hand, 40.0% of the investigated babies were first born and two thirds of our sample babies were females (66.9%). …”
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    Factors Affecting Student Academic Performance: A Combined Factor Analysis of Mixed Data and Multiple Linear Regression Analysis by Mohamed El Jihaoui, Oum El Kheir Abra, Khalifa Mansouri

    Published 2025-01-01
    “…We aim to identify the factors influencing student performance within the middle school education system using a combined approach of Factor Analysis for Mixed Data (FAMD) and Multiple Linear Regression (MLR). …”
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  8. 228

    Blood coagulation monitoring of patients with mechanical heart valve visiting Imam by Nafiseh Montazeri, Sajad Pourmehr, Arash Ziapour, Reza Heidari Moghadam

    Published 2025-01-01
    “…Ninety-one patients (65.5%) had primary-school education, 22 (15.8%) middle school education, 17 (12.2%) high school education and 9 (6.5%) had a university degree. …”
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  9. 229

    Monitoring The Effort Curve In Physical Education For Normal And Overweight Students Using Smartwatches And Mobile Applications by Pârvu Carmen, Mocanu George Dănuț, Harabagiu Neculai, Ungurean Bogdan Constantin, Szabo Dan Alexandru

    Published 2024-12-01
    “…The study hypothesises that using smart-watches and mobile apps to monitor effort in middle school physical education lessons will reveal significant differences in effort and heart rate between overweight and average BMI students. …”
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  10. 230

    Influencing factors for influenza vaccination among the elderly by LI Yiyao, LI Xiaoju, SHEN Xiaoying, ZHANG Xianqi, ZHAO Li, ZHANG Yuhan, WANG Xinmeng

    Published 2025-01-01
    “…Multivariable logistic regression analysis showed that age (71-<81 years, OR=1.607, 95%CI: 1.041-2.479; ≥81 years, OR=1.719, 95%CI: 1.040-2.842), educational level (middle school/technical secondary school, OR=0.616, 95%CI: 0.416-0.911), medical expense payment (employee medical insurance, OR=6.531, 95%CI: 2.030-21.010; resident medical insurance, OR=3.385, 95%CI: 1.095-10.466; public expense, OR=4.828, 95%CI: 1.700-13.712), vaccination willingness (yes, OR=6.237, 95%CI: 3.277-11.871), influenza vaccination history (yes, OR=14.600, 95%CI: 8.733-24.408) and vaccine literacy (medium and above, OR=2.412, 95%CI: 1.636-3.555) were associated with influenza vaccination among the elderly. …”
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    Territorial obstacles causing early school dropout in Morocco: Multivariate spatial analysis by Aomar Ibourk, Soukaina Raoui

    Published 2025-01-01
    “…It uses 100 variables to explain dropout rates across ten territorial components (TC): demography and household structure (TC1), cultural and linguistic variety (TC2), poverty and living conditions (TC3), labor market (TC4), type of housing (TC5), living environment (TC6), school graduate (TC7), social programs (TC8), preschool education (TC9), and primary and middle school supply (TC10). By exploring a multivariate spatial approach, this study bridges the gap in the mainstream literature on some individual factors on school dropout using a spatial measurement approach to identify particular spatial variables. …”
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  13. 233

    Factors influencing the overall satisfaction of teachers participating in a nationwide school-based smoking prevention program in Korea by Geon Heo, Seulgi Kim, Sung-il Cho, Seunghyun Yoo, Jieun Hwang

    Published 2024-07-01
    “…The study sample comprised 669 teachers involved in the SSPP: 215 from elementary schools, 212 from middle schools, and 242 from high schools. To identify factors influencing teachers’ overall satisfaction, independent variables were categorized into three types of factors: personal, school, and teacher perceptions. …”
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  14. 234

    The Association Between Internet Addiction and the Risk of Suicide Attempts in Chinese Adolescents Aged 11-17 Years: Prospective Cohort Study by Sihong Li, Xingyue Jin, Lintong Song, Tianqing Fan, Yanmei Shen, Jiansong Zhou

    Published 2025-01-01
    “…MethodsA total of 782 adolescents were recruited from a middle school from November 2020 to December 2020 and followed up for 6 months. …”
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  15. 235

    Project ChemicalBlooms: Collaborating with citizen scientists to survey the chemical diversity and phylogenetic distribution of plant epicuticular wax blooms by Le Thanh Dien Nguyen, Nicole Groth, Kylie Mondloch, Edgar B. Cahoon, Keith Jones, Lucas Busta

    Published 2024-05-01
    “…Here, we recruited the help of citizen scientists and middle school students to survey the wax bloom chemistry of 78 species spanning dicot, monocot, and gymnosperm lineages. …”
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    Student perceptions of U.S. based school day physical activity best practices in relation to accelerometer-based sedentary behavior and activity by Ann Pulling Kuhn, Ajuni Choudhary, Amy Zemanick, Hannah Lane, Bridget Armstrong, Yan Wang, Rachel Deitch, Erin R. Hager

    Published 2025-01-01
    “…Adjusted mixed effects linear regression models were used to predict percent time in each physical activity category, with separate models for elementary and middle school. Results: More best practices were perceived by elementary versus middle schoolers (sum score = 3.3 versus 1.5, p < .01). …”
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  18. 238

    Assessing the Changes of Mumps Characteristics with Different Vaccination Strategies Using Surveillance Data: Importance to Introduce the 2-Dose Schedule in Quzhou of China by Chunting Zhou, Wei Song, Zhiying Yin, Sheng Li, Xiaoying Gong, Quanjun Fang, Shuangqing Wang

    Published 2020-01-01
    “…Approximately 90% of the reported outbreaks occurred in school children (primary school/middle school). The seasonal characteristics of mumps were less obvious from 2011 to 2016. …”
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  19. 239

    Impact of maternal nutritional literacy and feeding practices on the growth outcomes of children (6–23 months) in Gujranwala: a cross-sectional study by Aaiza Tahreem, Allah Rakha, Rimsha Anwar, Roshina Rabail, Cristina Maria Maerescu, Claudia Terezia Socol, Florin Leontin Criste, Gholamreza Abdi, Rana Muhammad Aadil

    Published 2025-01-01
    “…Higher odds of being stunted (β = 2.173, OR = 8.788, p &lt; 0.05) were observed among those whose mothers had middle school education compared to those having higher education.ConclusionOverall results indicated a dire need not only to create nutritional awareness among mothers in Gujranwala but also to provide a support system for mothers to help them implement standard feeding practices.…”
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  20. 240

    Antibiotic knowledge and influencing factors among residents in China: a cross-sectional survey by Sixian DU, Yaqing LIU, Xiaoxu YIN, Haoran NIU, Feng JIANG, Liwen GONG

    Published 2024-11-01
    “…According to the multivariate logistic regression analysis, antibiotic knowledge scores were significantly influenced by the following factors (all P < 0.05): individuals with middle school education or below compared to those with a master′s degree or above (β = – 2.047, OR = 0.129), those with a medical education background compared to those without (β = – 1.430, OR = 0.239), full-time workers compared to other occupations (β = 0.387, OR = 1.472), healthcare workers compared to non-healthcare workers (β = – 0.674, OR = 0.510), individuals with chronic diseases compared to those without (β = 0.753, OR = 2.123), and those who self-rated their health as "very good" compared to "average" (β = 0.647, OR = 1.910). …”
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