Showing 81 - 86 results of 86 for search '(("self‐reported data") OR ("self‐reports data"))', query time: 0.08s Refine Results
  1. 81

    Who underreports smoking on birth records: a Monte Carlo predictive model with validation. by Thomas G Land, Anna S Landau, Susan E Manning, Jane K Purtill, Kate Pickett, Lauren Wakschlag, Vanja M Dukic

    Published 2012-01-01
    “…<h4>Methods and findings</h4>In this paper, we develop a statistical Monte Carlo model to estimate patterns of underreporting of smoking during pregnancy, and apply it to analyze the smoking self-report data from birth certificates in the state of Massachusetts. …”
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  2. 82

    Phenotype refinement strengthens the association of AHR and CYP1A1 genotype with caffeine consumption. by George McMahon, Amy E Taylor, George Davey Smith, Marcus R Munafò

    Published 2014-01-01
    “…We used data from between 4,460 and 7,520 women in the Avon Longitudinal Study of Parents and Children, a longitudinal birth cohort based in the United Kingdom. Self-report data on coffee, tea and cola consumption (including consumption of decaffeinated drinks) were available at multiple time points. …”
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  3. 83

    Personality, motivations, and gaming disorder symptoms: A large-scale comparative study of esports players, highly engaged gamers, and recreational players. by Harshdeep S. Mangat, Róbert Urbán, Patrik Koncz, Zsolt Demetrovics, Andrea Czakó, Mark D. Griffiths, Orsolya Király

    Published 2025-10-01
    “…The aim of the present study was to investigate the extent to which esports is associated with different indicators of problematic consumption and how motivations for playing videogames reflect differences between esports players, recreational players, and highly engaged gamers. Methods: Self-report data were collected regarding personality, psychopathological symptoms, and gaming behavior among 14,727 gamers (mean age = 24.1 years [SD = 7.0]; 89.3 % male) comprising 557 esports players (mean age = 21.5 years [SD = 6.5]; 95.9 % male), 5101 recreational players (mean age = 26.1 years [SD = 7.5]; 87.8 % male), and 9069 highly engaged gamers (mean age = 23.2 years [SD = 6.4]; 89.7 % male). …”
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  4. 84

    Do Older Adults Engaged in a Community-Based Exercise Program Have Better Mental Health Indicators? A Static Group Comparison Study in a Brazilian Regional Area by Matheus Vitor Beserra Cavalcanti, Paula Ferreira Mendes do Nascimento, Leonardo dos Santos Oliveira

    Published 2025-05-01
    “…The CBEP was conducted 3x/wk for 8 weeks, with Pilates activities (90 min/wk), water-aerobic exercises (90 min/wk) and Brazilian capoeira (120 min/wk). Self-report data on sociodemographic, clinical characteristics and indicators of stress, anxiety and depression (DASS-21 scale) were assessed to provide a posttest to both the experimental group and the comparison group. …”
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  5. 85

    The effectiveness of the Dutch juvenile diversion program Halt: study protocol for a randomized controlled trial by Benthe J. van Delft, Kirti Zeijlmans, Jessica J. Asscher, Ton Liefaard, André M. van der Laan

    Published 2025-07-01
    “…They are randomized into the Halt condition, or into the control group with no further intervention. Self-report data on primary (delinquency) and secondary goals (subgoals of Halt, e.g., social skills) are collected at three points in time: after referral to Halt (T0), 100 days later (T1) and one year after the referral to Halt (T2). …”
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  6. 86

    The Feasibility of a Music Therapy Respiratory Telehealth Protocol on Long COVID Respiratory Symptoms by Jingwen Zhang, Joanne V. Loewy, Lisa Spielman, Zijian Chen, Jonathan M. Raskin

    Published 2025-07-01
    “…Methods: A within-subject experimental design was applied to examine an eight-week weekly online music therapy protocol, including singing, wind instrument playing, and music visualizations. All self-report data were collected bi-weekly throughout the 16-weeks study period, including baseline and post-tests. …”
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