Athletes and coaches often normalize injuries and pain to gain sports performance. Consistent supervision of workload and psycho-physiological aspects may prevent injuries and maximize performance, mainly integrating insights from healthcare and sports. Although these aspects could be facilitated through smartphone devices, no smartphone applications (apps) have been designed to monitor these aspects of the athlete experience. This study aimed to evaluate the capability of an app to collect sports and health data and identify areas for app enhancement. An observational study was designed to test the app (named: SaluTrack). Eleven young athletes, eight males and three females, were invited to participate. During 5 weeks, all participants used the app to complete four questionnaires periodically: wellness, pain, urinary incontinence (UI), and catastrophizing. The questionnaires were completed by 90.9% of participating athletes periodically. Regarding the wellness questionnaire, athletes responded with 10.94 ± 4.37 as the average rating. Regarding pain, all athletes who completed the questionnaire affirmed to have pain (3.63 ± 1.73), the knee being the anatomical region most affected (26.67%). Also, 27.27% of athletes affirmed to have UI. Regarding catastrophizing level, athletes showed 8.91 ± 9.02 points. Regarding qualitative feedback from athletes, we received three comments, all positive aspects gained from using this tool. SaluTrack showed to be an appropriate app to easily collect sports and health data from athletes related to wellness, pain, UI, and catastrophizing. This methodology is useful for weekly monitoring of potential injury risk and to improve coaching staff’s communication with athletes.
BarretteAHarmanK.Athletes play through pain-what does that mean for rehabilitation specialists?J Sport Rehabil2020; 29(5): 640–649.
2.
GrindemHMyklebustG.Be a champion for your athlete’s health. J Orthop Sports Phys Ther2020; 50(4): 173–175.
3.
DijkstraHPPollockNChakravertyR, et al. Managing the health of the elite athlete: a new integrated performance health management and coaching model. Br J Sports Med2014; 48(7): 523–531.
4.
DrewMKFinchCF.The relationship between training load and injury, illness and soreness: a systematic and Literature Review. Sports Med2016; 46(6): 861–883.
5.
van PoppelDvan der WorpMSlabbekoornA, et al. Risk factors for overuse injuries in short- and long-distance running: a systematic review. J Sport Health Sci2020; 10(1): 14–28.
6.
MandorinoMFigueiredoAJCondelloG, et al. The influence of maturity on recovery and perceived exertion, and its relationship with illnesses and non-contact injuries in young soccer players. Biol Sport2022; 39(4): 839–848.
7.
GatchelRJPengYBPetersML, et al. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull2007; 133(4): 581–624.
8.
Culleton-QuinnEBøKFlemingN, et al. Elite female athletes’ experiences of symptoms of pelvic floor dysfunction: a systematic review. Int Urogynecol J2022; 33(10): 2681–2711.
9.
BalachandarVMarciniakJLWallO, et al. Effects of the menstrual cycle on lower-limb biomechanics, neuromuscular control, and anterior cruciate ligament injury risk: a systematic review. Muscles Ligaments Tendons J2017; 7(1): 136–146.
10.
Vico-MorenoESastre-MunarAFernández-DomínguezJC, et al. Motor control and regularity of menstrual cycle in ankle and knee injuries of female basketball players: a Cohort Study. Int J Environ Res Public Health2022; 19(21): 14357.
11.
ClarsenBMyklebustGBahrR.Development and validation of a new method for the registration of overuse injuries in sports injury epidemiology: the Oslo Sports Trauma Research Centre (OSTRC) overuse injury questionnaire. Br J Sports Med2013; 47(8): 495–502.
12.
Bailón-CerezoJClarsenBSánchez-SánchezB, et al. Cross-cultural adaptation and validation of the Oslo Sports Trauma Research Center questionnaires on overuse injury and health problems (2nd version) in Spanish Youth Sports. Orthop J Sports Med2020; 8(12): 2325967120968552.
13.
TuckerPSScanlanATDalboVJ.Track my health: a mobile application that allows patients to monitor their health. Br J Sports Med2015; 49(24): 1596–1597.
14.
PiresIMMarquesGGarciaNM, et al. A research on the classification and applicability of the mobile health applications. J Pers Med2020; 10(1): 11.
15.
HooperSLMackinnonLT.Monitoring overtraining in athletes. Recommendations. Sports Med1995; 20(5): 321–327.
16.
ClementeFM.Associations between wellness and internal and external load variables in two intermittent small-sided soccer games. Physiol Behav2018; 197: 9–14.
17.
GriegerJANormanRJ.Menstrual cycle length and patterns in a global cohort of women using a mobile phone app: retrospective cohort study. J Med Internet Res2020; 22(6): e17109.
18.
ScrimshawSVMaherC.Responsiveness of visual analogue and McGill pain scale measures. J Manip Physiol Ther2001; 24(8): 501–504.
19.
Espuña PonsMRebollo ÁlvarezPPuig ClotaM. Validation of the Spanish version of the international consultation on incontinence questionnaire-short form. A questionnaire for assessing the urinary incontinence. Med Clin2004; 122(8): 288–292.
20.
SullivanMJLBishopSRPivikJ.The pain catastrophizing scale: development and validation. Psychol Assess1995; 7(4): 524–532.
21.
FranceschiAConteDAiraleM, et al. Training load, neuromuscular readiness, and perceptual fatigue profile in youth elite long-jump athletes. Int J Sports Physiol Perform2020; 15(7): 1–5.
22.
MateusNGonçalvesBFelipeJL, et al. In-season training responses and perceived wellbeing and recovery status in professional soccer players. PLoS One2021; 16(7): e0254655.
23.
AbenHGJHillsSPHigginsD, et al. The reliability of neuromuscular and perceptual measures used to profile recovery, and the time-course of such responses following Academy Rugby League match-play. Sports2020; 8(5): 73.
24.
ChenYSClementeFMPagaduanJC, et al. Relationships between perceived measures of internal load and wellness status during overseas futsal training camps. PLoS One2022; 17(4): e0267227.
25.
TavaresFHealeyPSmithTB, et al. The effect of training load on neuromuscular performance, muscle soreness and wellness during an in-season non-competitive week in elite rugby athletes. J Sports Med Phys Fitness2018; 58(11): 1565–1571.
26.
TavaresFSimõesMMatosB, et al. Wellness, muscle soreness and neuromuscular performance during a training week in volleyball athletes. J Sports Med Phys Fitness2018; 58(12): 1852–1858.
27.
LupoCUngureanuANFratiR, et al. Player session rating of perceived exertion: a more valid tool than coaches’ ratings to monitor internal training load in elite youth female basketball. Int J Sports Physiol Perform2019; 15(4): 1–6.
28.
LupoCTessitoreAGasperiL, et al. Session-RPE for quantifying the load of different youth basketball training sessions. Biol Sport2017; 34(1): 11–17.
29.
Garbenytė-ApolinskienėTSalatkaitėSŠiupšinskasL, et al. Prevalence of musculoskeletal injuries, pain, and illnesses in elite female basketball players. Medicinar2019; 55(6): 276.
30.
SchneiderSSauerJBerrscheG, et al. No pain, no gain? Prevalence, location, context, and coping strategies with regard to pain among young German elite basketball players. J Hum Kinet2019; 69(1): 179–189.
31.
OwoeyeOBANemeJRBuchananP, et al. Absence of injury is not absence of pain: prevalence of preseason musculoskeletal pain and associated factors in collegiate soccer and basketball student athletes. Int J Environ Res Public Health2022; 19(15): 9128.
32.
HanningtonMTaitTDockingS, et al. Prevalence and pain distribution of anterior knee pain in collegiate basketball players. J Athl Train2022; 57(4): 319–324.
33.
HutchisonMKHouckJCuddefordT, et al. Prevalence of patellar tendinopathy and patellar tendon abnormality in male collegiate basketball players: a cross-sectional study. J Athl Train2019; 54(9): 953–958.
34.
Keefer HutchisonMPattersonCCuddefordT, et al. Low prevalence of patellar tendon abnormality and low incidence of patellar tendinopathy in female collegiate volleyball players. Res Sports Med2020; 28(2): 155–167.
35.
Escriche-EscuderACasañaJCuesta-VargasAI.Load progression criteria in exercise programmes in lower limb tendinopathy: a systematic review. BMJ Open2020; 10(11) e041433.
36.
TeixeiraRVCollaCSbruzziG, et al. Prevalence of urinary incontinence in female athletes: a systematic review with meta-analysis. Int Urogynecol J2018; 29(12): 1717–1725.
37.
de Mattos LourencoTRMatsuokaPKBaracatEC, et al. Urinary incontinence in female athletes: a systematic review. Int Urogynecol J2018; 29(12): 1757–1763.
38.
Rodríguez-LópezESAcevedo-GómezMBRomero-FrancoN, et al. Urinary incontinence among elite track and field athletes according to their event specialization: a cross-sectional study. Sports Med Open2022; 8(1): 78.
39.
Rodríguez-LópezESCalvo-MorenoSOBasas-García, et al. Prevalence of urinary incontinence among elite athletes of both sexes. J Sci Med Sport2021; 24(4): 338–344.
40.
SciasciaAWaldeckerJJacobsC.Pain catastrophizing in college athletes. J Sport Rehabil2020; 29(2): 168–173.
41.
PaparizosATrippDSullivanM, et al. Catastrophizing and pain perception in recreational ballet dancers. J Sport Behav2005; 28(1): 35--50.
42.
ChoiBCKPakAWP. A note on “A catalog of biases in questionnaires.”Prev Chronic Dis2005; 2(2): A30.
43.
FlattAAHornikelBEscoMR.Heart rate variability and psychometric responses to overload and tapering in collegiate sprint-swimmers. J Sci Med Sport2017; 20(6): 606–610.
