Analysis of recall bias of information on soccer injuries in adolescents

Abstract

Aims: to analyze the recall bias of injury characteristics, anthropometric variables, and training variables in a morbidity survey in adolescent soccer players for a period of four months. Method: cohort study with 198 adolescent male soccer players, divided into two parts: a prospective study over four months, followed by a retrospective study. A morbidity survey containing personal and training data, in addition to information on injuries and their characteristics (anatomical site, mechanism, nature, moment, severity, return to activities and recurrence) was administered weekly for four months, after which the questionnaire was applied again questioning the same information retrospectively for the four-month prospective study period. The data were collected through interviews addressing the occurrence of injuries and respective characteristics. Results: there were weak correlations and concordances for the recall of the occurrence of injury and all related variables. However, regarding the information relating to personal and training data, moderate correlations were observed for the variables height, time of training, weekly hours, absences, and position, as well as excellent correlations for body mass. Conclusions: we observed recall bias in all information about the characteristics of the injuries reported by adolescent soccer players.

Injuries to Ice Hockey Referees and Linesmen: A Survey of International Ice Hockey Federation Officials

“…Several publications have questioned the accuracy of self-reported injury studies. 4 , 20 , 36 A comparison of prospective and retrospective injury studies in Australian rules football over a 12-month period showed that recall accuracy significantly declines at 1 year. 16 Only 80% of the athletes were able to remember the number of injuries and the particular body parts involved.…”

Test–Retest Reliability of a Semi-Structured Interview to Aid in Pediatric Traumatic Brain Injury Diagnosis

“…A civilian TBI (Sherer et al, 2015) study showed that most participants self-reported longer LOC (66%) and PTA (84%) durations than medical records, potentially impacting diagnostic accuracy (e.g., moderate-to-severe TBI). Similarly, athletes with orthopedic injuries are more accurate in reporting on global information, such as whether or not they had an injury, rather than reporting specifics, such as injury location and even diagnoses (Gabbe, Finch, Bennell, & Wajswelner, 2003;Vanderlei et al, 2017). Indeed, several factors may affect reliability, such as time since injury, biases in recall (e.g., good old days), and the severity of the head injury and impact on memory consolidation.…”

“…We hypothesized that test-retest reliability coefficients would be higher for binary (presence vs. absence) and categorical characterization of injury characteristics relative to self-reported durations (Gabbe et al, 2003;Sherer et al, 2015;Vanderlei et al, 2017). Multiple statistical techniques were used to quantify test-retest reliability due to non-normality (Mayer et al, 2020) and the different distributions of data types (binary vs. categorical vs. continuous).…”

A marginal structural model approach to analyse work-related injuries: an example using data from the health and retirement study

“…While several injury epidemiology researchers have used strategies to assess and manage information bias,13–15 few have appropriately accounted for confounding and censoring in longitudinal research efforts. This is because longitudinal studies contain time-varying covariates which may simultaneously be confounders and intermediates; analysis techniques that condition on past exposure and confounder history fail to account for such joint effects 16–18.…”