Longitudinal surveys of children in school settings can yield large volumes of data for use in exploring research questions that may influence development of intervention programs. However, traditional methods of data collection such as paper-and-pencil questionnaires or person-to-person interviewing present major threats to validity throughout the process of data collection, data management, and data analysis. The use of computer-assisted survey interviewing is an alternative that has both advantages and disadvantages. Lessons learned in the first wave of a longitudinal study of approximately 1161 children in fourth, fifth, and sixth grades illustrate both the strengths and limitations of this method.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/00012272-200404000-00006 | DOI Listing |
Sci Rep
January 2025
Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
The Sharp-van der Heijde score (SvH) is crucial for assessing joint damage in rheumatoid arthritis (RA) through radiographic images. However, manual scoring is time-consuming and subject to variability. This study proposes a multistage deep learning model to predict the Overall Sharp Score (OSS) from hand X-ray images.
View Article and Find Full Text PDFInt J Chron Obstruct Pulmon Dis
January 2025
Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany.
Background: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation.
Pan Afr Med J
January 2025
Department of Paediatrics, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria.
Introduction: given the significant disruption in educational activities during the COVID-19 pandemic and the uncertainties about the post-pandemic future, coupled with increasing demand for the healthcare workforce, e-learning may bridge the gap in training medical students. It was imperative to survey the perception and readiness of the trainers on the use of e-learning for undergraduate medical training in Nigeria.
Methods: this cross-sectional study was conducted among teachers of medical students in Nigeria.
Nutrients
January 2025
Department of Health Promotion, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, ul. Piekarska 18, 41-902 Bytom, Poland.
Background/objectives: Eating disorders (EDs) result from complex interactions of biological, psychological, social, and cultural factors, disproportionately affecting adolescents and young adults. Social media, peer pressure, and self-esteem issues contribute to ED prevalence. This study examines ED risk, eating behaviors, and self-esteem among individuals aged 16-25, exploring differences by gender, age, and social media usage.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Plastic Surgery, Treatment Center of Burn and Trauma, Affiliated Hospital of Jiangnan University, Wuxi, China.
Objective: To assess the association between sleep patterns and sleep factors (sleep duration, trouble sleeping, sleep disorder) and the risk of depression in older adults.
Methods: A total of 5636 participants (2754 men and 2882 women) aged 60 years and older from the 2007-2014 waves of the National Health and Nutrition Examination Survey (NHANES) were included. Sleep duration, sleep problems, and sleep disorders were assessed in the home by trained interviewers using the Computer-Assisted Personal Interviewing (CAPI) system.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!