We examined the effect of interview characteristics (ie, recall interval, interview version) on estimates of health-related lost productive work time (LPT). Three versions of a telephone interview were administered using 7-day and 4-week recall periods. In a population-based survey, 7674 workers randomly were assigned to one of six interviews at contact; 615 participants received a follow-up interview. We found strong evidence of under-reporting using a 4-week recall period and a not significant trend in over-reporting LPT using a 7-day recall period. Of the three interviews, version 3 could be administered most quickly, on average, and yielded the most discriminating estimates of LPT by health condition (ie, headache, allergic rhinitis, and cold/flu). Our data suggest that variation in relatively short recall periods influences estimates of health-related LPT. A 2-week recall period may be optimal for minimizing overall reporting error but requires additional research to verify.
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http://dx.doi.org/10.1097/01.jom.0000126685.59954.55 | DOI Listing |
Inflamm Intest Dis
December 2024
Division of Gastroenterology and Hepatology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
Background: Since the first description of eosinophilic esophagitis (EoE) as clinicopathologic syndrome three decades ago, considerable progress has been made to standardize and validate instruments to assess symptom severity, quality of life, endoscopic, and histologic activity for the purpose of randomized controlled trials (RCTs) and observational studies. Standardized assessment of EoE activity is crucial to be able to compare the results of therapeutic interventions and bring much needed therapies to patients. This review focuses on outcome assessment of disease activity in adults with EoE.
View Article and Find Full Text PDFPoult Sci
January 2025
College of Mathematics Informatics, South China Agricultural University, Guangzhou 510642, China; Key Laboratory of Smart Agricultural Technology in Tropical South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510642, China; Guangdong Engineering Research Center of Agricultural Big Data, Guangzhou 510642, China. Electronic address:
Accurate individual egg-laying detection is crucial for eliminating low-yielding breeder ducks and improving production efficiency. However, existing methods are often expensive and require strict environmental conditions. This study proposes a data processing method based on wearable sensors and joint time-frequency representation (TFR), aimed at accurately identifying egg-laying in ducks.
View Article and Find Full Text PDFBlood
January 2025
Fred Hutchinson Cancer Center, Seattle, Washington, United States.
Sclerosis is a highly morbid manifestation of chronic GVHD (cGVHD), associated with distressing symptoms and significant long-term disability. A patient-reported outcome measure (PRO) for cGVHD-associated sclerosis is essential to advance therapeutic trials. We aimed to develop a PRO for adults with cGVHD-associated sclerosis and evaluate and refine its content validity.
View Article and Find Full Text PDFInt J Exerc Sci
December 2024
Department of Management, Policy, and Community Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Intake of fruits and vegetables (F&V) is related to health outcomes. The purpose of the study was to test an online diet program promoting F&V intake among healthy adults. Twenty-three participants were randomly assigned to complete an 8-week intervention condition (#800gChallenge®) or wait-list control condition.
View Article and Find Full Text PDFBMJ Open
December 2024
Disease Elimination, Burnet Institute, Melbourne, Victoria, Australia
Introduction: Opioid overdose and blood-borne virus transmission are key health risks for people who inject drugs. Existing study methods that record data on injecting drug risks mostly rely on retrospective self-reporting that, while valid, are limited to being broad and subject to recall bias. The In-The-Moment-Expanded (ITM-Ex) study will evaluate the feasibility and acceptability of multiple novel data collection methods to capture in situ drug injecting data.
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