| 1. |
- Gauffin, Håkan, et al.
(author)
-
Maintaining motivation and health among recreational runners: Panel study of factors associated with self-rated performance outcomes at competitions
- 2019
-
In: Journal of Science and Medicine in Sport. - : ELSEVIER SCI LTD. - 1440-2440 .- 1878-1861. ; 22:12, s. 1319-1323
-
Journal article (peer-reviewed)abstract
- Objectives: To investigate health-related factors associated with self-rated race performance outcomes among recreational long-distance runners. Design: Panel study. Methods: Data were collected from runners one month before and after a community-level race event including distances from 8 to 42.2 km. The primary outcome measure was self-rated race performance outcome. The explanatory variables represented health complaints suffered during the build-up year, the pre-race month, and the race and among full marathon runners predicted objective performance outcome (mean pace equal to training pace or faster). Multiple logistic regression was used to determine factors associated with the self-rated performance outcome. Results: Two-hundred forty-five runners (29%) provided complete data sets. Seventy-four percent of the runners reached their desired race performance outcome. Achievement of the performance outcome was more likely when having avoided illness during the build-up and pre-race periods (OR = 3.8; 95% CI:1.8-8.0, p amp;lt; 0.001), having avoided per-race injury (OR=3.0; 95% CI:1.2-7.4, p = 0.02) and avoided perrace illness (OR= 4.1; 95% CI:1.3-15, p = 0.020). Having obtained the self-rated performance outcome was also associated with running a shorter distance (OR=3.6; 95% CI: 1.7-8.0,p = 0.001) and being younger than 50 years of age (OR= 2.4; 95% CI:1.1-5.3-8.3, p = 0.03). Having met the predicted objective performance outcome predisposed marathon runners to also obtain the self-rated performance outcome (OR= 4.7, 95% CI: 1.5-16, p amp;lt; 0.01). Conclusions: Having avoided illness during build-up and pre-race was positively associated with self-rated race performance outcome among recreational runners. Adjusting the desired performance outcomes with regard to recent illness and age may help recreational runners to more often achieve their goals and thereby prevent them from leaving the sport. (C) 2019 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.
|
|
| 2. |
- Rönnby, Sara, et al.
(author)
-
mHealth Self-Report Monitoring in Competitive Middle- and Long-Distance Runners : Qualitative Study of Long-Term Use Intentions Using the Technology Acceptance Model
- 2018
-
In: JMIR mHealth and uHealth. - : JMIR Publications Inc.. - 2291-5222. ; 6:8
-
Journal article (peer-reviewed)abstract
- BACKGROUND: International middle- and long-distance running competitions attract millions of spectators in association with city races, world championships, and Olympic Games. It is therefore a major concern that ill health and pain, as a result of sports overuse, lead to numerous hours of lost training and decreased performance in competitive runners. Despite its potential for sustenance of performance, approval of mHealth self-report monitoring (mHSM) in this group of athletes has not been investigated.OBJECTIVE: The objective of our study was to explore individual and situational factors associated with the acceptance of long-term mHSM in competitive runners.METHODS: The study used qualitative research methods with the Technology Acceptance Model as the theoretical foundation. The study population included 20 middle- and long-distance runners competing at national and international levels. Two mHSM apps asking for health and training data from track and marathon runners were created on a platform for web survey development (Briteback AB). Data collection for the technology acceptance analysis was performed via personal interviews before and after a 6-week monitoring period. Preuse interviews investigated experience and knowledge of mHealth monitoring and thoughts on benefits and possible side effects. The postuse interviews addressed usability and usefulness, attitudes toward nonfunctional issues, and intentions to adhere to long-term monitoring. In addition, the runners' trustworthiness when providing mHSM data was discussed. The interview data were investigated using a deductive thematic analysis.RESULTS: The mHSM apps were considered technically easy to use. Although the runners read the instructions and entered data effortlessly, some still perceived mHSM as problematic. Concerns were raised about the selection of items for monitoring (eg, recording training load as running distance or time) and about interpretation of concepts (eg, whether subjective well-being should encompass only the running context or daily living on the whole). Usefulness of specific mHSM apps was consequently not appraised on the same bases in different subcategories of runners. Regarding nonfunctional issues, the runners competing at the international level requested detailed control over who in their sports club and national federation should be allowed access to their data; the less competitive runners had no such issues. Notwithstanding, the runners were willing to adhere to long-term mHSM, provided the technology was adjusted to their personal routines and the output was perceived as contributing to running performance.CONCLUSIONS: Adoption of mHSM by competitive runners requires clear definitions of monitoring purpose and populations, repeated in practice tests of monitoring items and terminology, and meticulousness regarding data-sharing routines. Further naturalistic studies of mHSM use in routine sports practice settings are needed with nonfunctional ethical and legal issues included in the evaluation designs.
|
|
