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Ecological momentary assessment of physical activity and sedentary behaviour in shift workers and non-shift workers: Validation study.
Monnaatsie, Malebogo; Mielke, Gregore I; Biddle, Stuart J H; Kolbe-Alexander, Tracy L.
Affiliation
  • Monnaatsie M; School of Health and Medical Sciences, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Ipswich, Queensland, Australia.
  • Mielke GI; Centre for Health Research, University of Southern Queensland, Springfield, Queensland, Australia.
  • Biddle SJH; Department of Sport Science, Faculty of Education, University of Botswana, Gaborone, Botswana.
  • Kolbe-Alexander TL; School of Public Health, University of Queensland, Brisbane, Australia.
J Sports Sci ; : 1-10, 2024 Jun 20.
Article in En | MEDLINE | ID: mdl-38899730
ABSTRACT
This study examined the criterion validity of an ecological momentary assessment (EMA)-reported physical activity and sedentary time compared with accelerometry in shift workers and non-shift workers. Australian workers (n = 102) received prompts through a mobile EMA app and wore the Actigraph accelerometer on the right hip for 7-10 days. Participants received five EMA prompts per day at 3-hour intervals on their mobile phones. EMA prompts sent to shift workers (SW-T) were tailored according to their work schedule. Non-shift workers (NSW-S) received prompts at standardised times. To assess criterion validity, the association of EMA-reported activities and the Actigraph accelerometer activity counts and number of steps were used. Participants were 36 ± 11 years and 58% were female. On occasions where participants reported physical activity, acceleration counts per minute (CPM) and steps were significantly higher (ß = 1184 CPM, CI 95% 1034, 1334; ß = 20.9 steps, CI 95% 18.2, 23.6) than each of the other EMA activities. Acceleration counts and steps were lower when sitting was reported than when no sitting was reported by EMA. Our study showed that EMA-reported physical activity and sedentary time was significantly associated with accelerometer-derived data. Therefore, EMA can be considered to assess shift workers' movement-related behaviours with accelerometers to provide rich contextual data.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Sports Sci Year: 2024 Document type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Sports Sci Year: 2024 Document type: Article Affiliation country: Australia