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  1. 1341

    Paid sick days and stay-at-home behavior for influenza. by Kaitlin Piper, Ada Youk, A Everette James, Supriya Kumar

    Published 2017-01-01
    “…Linking the 2009 Medical Expenditure Panel Survey (MEPS) consolidated data file to the medical conditions file, we used multivariate Poisson regression models with robust variance estimates to identify factors associated with missed work for an employee's own or a child's illness/injury, influenza-like-illness (ILI), and influenza. …”
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  2. 1342

    Simultaneity of health risk behaviors in Brazilian older adults by Tatiane Nogueira Gonzalez, Luana Patricia Marmitt, Karla Pereira Machado, Marcos Freitas Cordeiro, Mirelle de Oliveira Saes

    Published 2025-04-01
    “…Method: This was a population-based cross-sectional study using data from PNS. The outcome "simultaneity of HRBs" resulted from the sum of such behaviors (tabagism, alcoholism, physical inactivity, inadequate diet, non-vaccination against influenza). χ2 test was used to describe the prevalence of the outcome in accordance with the independent variables, and adjusted Poisson regression was used to estimate the prevalence ratio and the respective 95% confidence intervals (95%CIs). …”
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  3. 1343

    Factors of Formation of Financial Behavior Types of Economic Entities by V. V. Maslennikov, A. V. Larionov, M. A. Gagarina

    Published 2022-04-01
    “…Based on the available sociological data, the study examines the main factors that lead to the formation of an active type of financial behavior. …”
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  4. 1344

    RMB experimental program on the hydrodynamical behavior of fuel assemblies by Walmir Máximo Torres, Pedro Ernesto Umbehaun, Miguel Mattar Neto, Antonio Belchior Jr., Roberto Longo Freitas

    Published 2021-02-01
    “…In order to verify and provide data and information about the dynamical behavior of fuel assemblies under nominal and critical conditions, the experimental circuit ORQUÍDEA is being designed. …”
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  5. 1345

    Architecture characterization of orchard trees for mechanical behavior investigations by Min Kyung Jeon, Matthew Burrall, Tae Hyuk Kwon, Jason T. DeJong, Alejandro Martinez

    Published 2025-06-01
    “…This unique study presents data to characterize mechanically important structural roots, which may help link root architecture to the mechanical behaviors of root structures.…”
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  6. 1346

    Exploring individual and organizational contributors to workplace deviant behavior by D. Daryono, R. Gunawan, U. Udin

    Published 2025-01-01
    “…Data were collected using questionnaires and analyzed using IBM SPSS version 26.FINDINGS: The results showed a significant negative correlation between employee personality traits, such as extraversion (t-value = -2.400, ρ-value = 0.019, ρ < 0.05) and agreeableness (t-value = -2.170, ρ-value = 0.034, ρ < 0.05), and organizational culture (t-value = -2.386, ρ-value = 0.020, ρ < 0.05). …”
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  7. 1347

    Cervical cancer prevention behaviors in young Black women by Angela J. Johnson, Monica J. Johnson, Juinell B. Williams, Emma Muscari, Laura Palmo, Michelle Ruiz, Brianna Bush, Lisa C. Campbell

    Published 2025-03-01
    “…Objective: A Black Feminist Thought framework was used to examine how the media portrayal of Black women, racial identity, and familial factors impact CC prevention behaviors among young Black women. …”
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  8. 1348

    Prospective Behavioral Study of Patients with Acute Respiratory Infections by Z. Sh. Nurmatov

    Published 2015-08-01
    “…For the purposes of the study, individuals in the study group were considered cases if they exhibited symptoms of ARI, according to the WHO Regional Office for Europe guidance for sentinel influenza surveillance in humans (2011). The survey results data analysis was performed using the Epi Info statistical software.Results: From November 2012, to April 2013, 61.2% (224) of the observed population became ill. 46.7% were ill with ARI once, 40.1% – 2 – 3 times, 11.7% – 4 – 7 times, as a result 137 people got sick a total of 307 times (136,161 per 100,000 population), only 75 cases sought medical attention (24.6%). …”
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  12. 1352

    Clean and healthy environmental behavior in terms of malnutrition and sanitation by . Nuraeni, N.I. Hawa, D. Utari, E. Parahyanti

    Published 2024-01-01
    “…Data were analyzed via Chi-square test using the Statistical Program for Social Sciences.FINDINGS: As many as 80.8 percent of pregnant women and 65.8 percent of mothers under five had good chronic malnutritionchronic malnutrition prevention behavior. …”
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  13. 1353
  14. 1354

    The Association Between Daily Step Count, Step Frequency and the Risk of Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study Using NHANES Data by Yuan L, Tian Z, Jia X, Chen Z

    Published 2025-07-01
    “…Weighted logistic regression was used to assess associations with COPD, adjusting for demographic, behavioral, and health-related covariates. …”
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    Surgical data strengthening in Ethiopia: results of a Kirkpatrick framework evaluation of a data quality intervention by Sehrish Bari, Joseph Incorvia, Katherine R. Iverson, Abebe Bekele, Kaya Garringer, Olivia Ahearn, Laura Drown, Amanu Aragaw Emiru, Daniel Burssa, Samson Workineh, Ephrem Daniel Sheferaw, John G. Meara, Andualem Beyene

    Published 2021-01-01
    “…Methods: An 8-week DQI was implemented to roll-out new data collection tools in SS2020 hospitals. The Kirkpatrick Method, a widely used mixed-method evaluation framework for training programs, was used to assess the impact of the DQI. …”
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    Multi-objective optimization of demand responsive transit operations based on dynamic passenger requests using maximum time delay rate by Sang-Wook Han, Sedong Moon, Dong-Kyu Kim

    Published 2024-01-01
    “…Additionally, DRT operators should balance the benefits of accepted passengers, concerned about increased travel time from new passengers, and requesting passengers who intend to use DRT. To address this, unlike previous studies with fixed time windows, this study introduces the maximum time delay rate (MTR), setting a proportional threshold for each accepted passenger's travel time based on their scheduled travel time, incorporating behavioral economics principles. …”
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