This study examines the influence of peers as sport socialization agents in the context of a wheelchair racing subculture in the United Kingdom. Using participant observation and survey methods the study focuses on elite and nonelite peer relationships–those between nonelite racers, between elite racers, and between elite and nonelite racers–and the knowledge that is transmitted and exchanged as subcultural responses to wheelchair racing problems. Six main interactional socialization contexts are identified: buying a racing wheelchair, British Wheelchair Racing Association training sessions, local training sessions, domestic races, foreign races, and Great Britain national squad training. Within these contexts elite racers socialize their nonelite peers by passing on subcultural solutions to two sets of problems: those that concern the racing chair and those that concern training. The relationship between the individual and the collective is complex, but peers play a major role in the development and transmission of the wheelchair racing subculture.
Trevor Williams and Denise Taylor
Suzie Mudge, Denise Taylor, Oliver Chang and Rosita Wong
Activity Monitors give an objective measure of usual walking performance. This study aimed to examine the test-retest reliability of the StepWatch Activity Monitor outputs (mean steps/day; peak activity index; sustained activity indices of 1, 5, 20, 30, 60 minutes; steps at high, medium, and low stepping rates).
Thirty healthy adults age 18 to 49 years wore the StepWatch for 2 3-day periods at least 1 week apart.
The intraclass correlation coefficients of the StepWatch outputs ranged from 0.44 to 0.91 over 3 days. The coefficient of variation ranged from 3.0% to 51.3% over the monitoring periods, with higher variation shown for shorter monitoring periods. The most reliable 5 outputs had 95% limits of agreement between 3-day periods that were less than 40%. These were mean steps/day (±39.1%), highest step rate in 1 (±17.3%) and 5 (±37.4%) minutes, peak activity index (±25.6%), and percentage of inactive time (±9.52%).
Mean steps/day, highest step rate in 1 and 5 minutes, peak activity index, and percentage of inactive time have good test-retest reliability over a 3-day monitoring period, with lower reliability shown by the other StepWatch outputs. Monitoring over 1 or 2 days is less reliable.