Sports participation related to injuries and illnesses among ambulatory youth with chronic diseases: results of the health in adapted youth sports study

Firstly, the aim of this study was to investigate the incidence, type, severity and risks of (sports-related) injuries and illnesses among ambulatory youth with CDPD over a 12-month period. Secondly, we investigated whether the more serious sports participants run a higher risk of being injured or ill compared to the less serious peers.

The present study is part of the Health in Adapted Youth Sports (HAYS) Study, which involved an analysis of data about health-related fitness, PA and psychosocial health in youth with CDPD [2, 3, 18, 19]. This study was approved by the Medical Ethics Committee of the University Medical Center Utrecht, Utrecht, the Netherlands (METC number: 14–332/c). The present sub-study is a prospective cohort study specifically evaluating injuries and illnesses related to sports participation. The procedures and protocols of the HAYS Study have been published previously in more detail [18].

This study has two objectives; 1) to determine the incidence, type and severity of injuries or illnesses, 2) to calculate the injury and illness rates per 1000 h of PA per group among ambulatory youth with CDPD participating in organized sports once or twice a week and peers who do not participate in sports at all. These objectives are researched by means of an injury and illness registration system over a 12 months period among youth with CDPD. This prospective cohort study followed Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines [20].

Ambulatory youth with CDPD were recruited for participation in the HAYS study between October 2014 and October 2016. The follow-up period and data collection of injuries and illnesses lasted till October 2017. The children and adolescents were recruited in the Netherlands among different patients associations, pediatric therapy practices, Wilhelmina Children’s Hospital in Utrecht, De Hoogstraat Rehabilitation Center in Utrecht, Fitkids network, schools for special education for children with a disability, and sports clubs. Young athletes were recruited from a broad range of participation in sports: from recreational level to high level competitive sports.

Participants were eligible for this study when they were ambulatory, aged from 8 to 19 years, and diagnosed with one or more cardiovascular, pulmonary, musculoskeletal, metabolic or neuromuscular disorders according to the classification of the American College of Sports Medicine [21].

Informed consent was provided by all participants and by the parents of participants under 18 years of age. In line with Dutch law, no parental informed consent was required for participants aged 18 years and above.

The HAYS cross-sectional sample involved 140 participants with CDPD, with a mean age (SD) of 14.4 (2.7) years (Table 1 and Fig. 1).

An overview of the procedures followed and data collection of the study are summarized in Fig. 2. Data collection consisted of: 1) a baseline assessment with the child or adolescent and parent(s); 2) objectively measured PA level of the participants during one school week; and 3) a two weekly registration of each injury or illness, for 12 months following the baseline assessment.

The characteristics of the child or adolescent were collected by the baseline assessment, including age, sex, medical diagnosis, participation in physical education (PE) and the number and type of sports participation in organized sports per week. Sports participation at baseline was identified using the following three standardized questions used by the Dutch Institute of Health and Environment [22]: 1) do you participate in sports?; 2) what is/are the type of organized sport(s)?; and 3) what is the frequency of participation in organized sports per week?.

In this study, participants were classified by the frequency of participation in organized sports per week (during a normal school week) to gain insight into sports-related injuries, non-sports-related injuries i.e. injuries related to PA during leisure time. This resulted in the following three groups: group 0 = no participation in organized sport at all; group 1 = sports participation at sport club one time per week, group 2 = sports participation at sport club two or more times per week.

Exposure to sport/PA was measured using an activity monitor, the Activ8 (2 M Engineering Ltd. Valkenswaard, The Netherlands). The Activ8 is a valid one-sensor ambulatory monitoring system and has been validated for use in youth with and without motor impairments [23]. Each subject wore the sensor on the dominant leg, fixed with Tegaderm™ (3 M, Delft, the Netherlands) waterproof skin tape during seven consecutive days for 24 h each day. The type, duration and frequency of PA in daily life were measured during a school week and one weekend. In order to calculate and interpret the data of waking hours gathered with the Activ8, also sleeping time was recorded in a diary. The total active time in minutes per day during leisure time, PE and organized sports per week was used for calculations. The analysis and results of PA data in the HAYS study are described elsewhere in more detail [18].

The monitoring of injuries and/or illnesses during the 12-month follow-up period was conducted by use of an online questionnaire. This questionnaire was developed based on recommendations of the Dutch Ministry of Health, Welfare and Sport (VWS) [24] and designed in Formdesk, an online web-based tool (Innovero Sofware Solutions B.V., Wassenaar, The Netherlands). Following the baseline assessment, the participants and/or their parents received an email with a hyperlink to the online questionnaire every 2 weeks for 12 months (Fig. 2). The questionnaire included five simple questions concerning injuries and/or illnesses suffered during the past 2 weeks, resulting in 26 measurements per participant. The participants received a reminder by e-mail if the questionnaire was not completed within 3 days. After three more days, the research assistant contacted the participant by telephone when the questionnaire was not completed, preventing an incomplete dataset. We performed a structured interview by phone in case of an injury or illness reported in the online questionnaire. In the personal interview we registered the type and body location of the injury or type of illness and the severity of the injury or illness.

The injury definition according to the National Athletic Injury Registration System (NAIRS) [17] was adapted for use in this study as follows:

‘Any new musculoskeletal pain, feeling or injury which results from participation in recreational PA or sports and causes changes in physical activities including sports activities, regardless of whether or not time is lost from PA, sports training or competition.’

An illness was defined and adapted for use in this study as:

‘Any new illness that causes changes in physical activities including sports activities, regardless of whether or not time is lost from PA or sports training or competition.’ [25]

Injuries and illnesses were further classified by the number of days of participation restriction in school and PE, in agreement with previous injury surveillance research [26] and according to the NAIRS [17]. Reported injuries or illnesses were classified as non-time loss (NTL) injuries or illnesses when the injury or illness complaint only had a participation limitation on the same day of the injury or illness complaint and not the day after [26]. Reported injuries or illnesses were classified as time-loss (TL) injuries or illnesses when there was a participation restriction of at least 1 day after the day of onset of the injury or illness complaint. To indicate the severity of the TL injuries and illnesses, the TL injury or illness were further subcategorized as follows: minor (1–7 days lost), moderate (8–21 days lost) or severe (> 21 days) [17, 26].

The data regarding the occurrence of injuries (body location and type) and illnesses (type) and consequences (time-loss in days until return to school, PE and participation in sports) were collected for all three groups.

The injury and illness rates per 1000 h of PA was calculated for each group (group 0, 1 and 2). An injury or illness rate indicates how many injuries or illnesses occur per episodes of exposure to sport and/or PA.

The injury and illness rate is calculated by the following formula:

Injury or illness rate =

Of 140 children and adolescents with CDPD who were invited to participate, 103 completed the 12 month period of prospective injuries and illnesses monitoring and only their data were analyzed for the current study. Reasons for dropout during the 12 month period of prospective monitoring are presented in Fig. 1. We lost 23 (16%) participants before the start of the study mainly caused by faults in our email system or participants/parents did not want to participate. Further, fourteen participants (10%) dropped out during the follow-up period of the study. The drop out of participants was not related to personal characteristics (i.e. diagnosis, age, sex) and was randomly between the three sub-groups.

The participants’ characteristics (sex, age, medical diagnosis, height, weight, BMI and BMI SDS) and p-value per group are displayed in Table 1.

The vast majority of the group had a neuromuscular disease (46 out of 103), with Gross Motor Function Classification System (GMFCS) classification of 1 or 2. There was a significant difference between the number of participants per group and for sex in group 2, 44 boys versus 20 girls (p-value = 0.031) Table 2.

In total, 46% (N = 47) of the participants with CDPD reported 86 injuries during a 12-month follow-up period. Most of the registered injuries (70%) occurred in group 2 (exercising at least twice a week in sports). Almost half of the registered injuries in group 2 resulted in minor (1–7 days) and moderate (8–21 days) time loss in sports participation. While in group 0 and group 1 resp. 89 and 59% of the reported injuries could be classified as NTL, this was different in group 2 with only 40% being classified as NTL. Most of the injuries were articular contusions or distortions (41%), followed by muscles strains (24%), no severe injuries like concussions were reported (Table 3). The majority of the reported injuries were located at the lower extremity (74%). A third of the injuries occurred during organized sports (31%) and only in group 2.

A total of 90 illnesses during a 12-month period were reported by 43 participants (42%) (Table 2). Most of the illnesses were reported in group 2 (59%). Overall, the majority of the illnesses (64%) resulted in a minor time loss (1–7 days) for participation in school, no differences were seen between the three groups. Only 9% of the illnesses were severe (> 21 days). The severity of the illness for return to sports was the highest for group 2 (57%; 1–7 days), compared to group 1 and group 0 for which most of the illnesses resulted in no time loss for return to PE or sports (75 and 59% resp). Flu and fever were the most commonly reported illnesses (58%) followed by symptoms of fatigue (18%). In addition, there were single cases of inflammation, asthma, migraine, epileptic attack, sleeping apnea, shingles and pertussis, which together accounted for 24% of the total reported illnesses.

The calculated injury rate per 1000 h of PA was for group 0, 1 and 2; 0.84, 1.88 and 1.33 resp. The illness rates per 1000 h of PA was 1.87, 1.88 and 1.18 resp. for participation restriction on the same day of injury or illness complaint but no subsequent restriction. The differences between the three groups were not statistically significant (Tables 4 and 5). The illness rate per 1000 h of PA differed significant between group 2 (N = 64) compared to group 0 + group 1 taken together (N = 39), p-value = 0.028.

Although the absolute number of injuries and illnesses are high in sports participants, the types of injuries and illnesses reported in the current study have no or minimal impact on being able to participate in school, PE or sports. The most reported injuries in our study were contusions/distortions or muscles strains, and located at the lower extremities. Our findings are in line with results of previous studies in both healthy youth and high school athletes with disabilities [14, 29], while in Paralympic athletes most of the injuries were related to overuse (tissue inflammation and pain) [30]. According to time loss by sustaining an injury, our findings are similar with several studies, in which sports injuries suffered by high school athletes with disabilities and Paralympic adult athletes resulted in no or minor loss of training time [15, 29‐31]. According to the severity of illnesses, preliminary results in Paralympic adult athletes shows that a higher training load results in a higher number of illnesses (infections) and the type of locomotion seems related to the incidence of illness, i.e. wheelchair athletes reported a high number of upper respiratory tract infections compared to able-bodied athletes [30]. The illness severity in the study of Fahger et al. (2017) was minor, 1–3 days of time loss of training, which is comparable with our study findings, although these studies are not comparable with our research with respect to study design, participants’ age, medical diagnoses and sports level. For instance, the majority of the study population of Ramirez et al. (2008) had a mental disorder like autism and were on average older (18 years), whereas the study population of Fagher et al. (2017) were adult athletes with visual impairments, or were wheelchair dependent. The studies of Blauwet et al. (2016) and Derman et al. (2013) followed the athletes of the London 2012 Paralympic games during 14 days. All these studies, however, show similar results, that the severity of injuries and illnesses are low for peoples’ ADL and/or sports participation. Remarkably, in our study, the incidence illness rate is the lowest in youngsters who participates in sports at least two times per week compared to their peers with less frequent or no sports participation. This result might suggests that regular participation in sports of at least two times a week could have a protective effect against illnesses.

This study was the first large study to evaluate injuries and illnesses among sporting and non-sporting youth with CDPD over a 12-month period. Strong points are the prospective injury and illness data monitoring in combination with the objective direct measurement of PA by using accelerometry. In addition, the incidence to injuries and illnesses and calculation of rates are based on exposure of objectively measured PA, which is a key factor [32, 33].

Obviously, this study also has some limitations. It could be of interest to conduct analyses per medical diagnose subgroup. Unfortunately, the sample sizes within the different medical diagnose groups in this study were too small for adequate statistical analyses. Moreover, we measured PA during one school week and weekend, assuming that this measurement is a representative week. The injury and illness rate formula assumes that the random sample of 7 days (school week) objectively measured PA distributed over the full study period represents the PA experience of the whole sample and can be used to derive estimates of the population experience over that period. Use of the PA measurements during one school week and extrapolated for a 12-month period is a limitation of the study. Future research should measure PA during a longer period of time and during holidays, were PA levels are probably different from PA during school weeks. Further, the injuries and illnesses were subjectively reported by the parent and/or child and not objectively by a physician or physical therapist as ideally recommended [32]. Participants from all over the Netherlands were enrolled in our study, therefore a physical consultation of injury or illness was not feasible. As a solution, we choose a structured interview by phone to further analyze the injury or illness reported in the online questionnaire. Even so, feasibility of this methodology was time-consuming and required a high degree of precise working, i.e. checking the incoming questionnaires and the presence of an injury or illness. In a pilot study by Fagher et al., the use of a novel eHealth-based application for self-report in Paralympic athletes was generally feasible and usable [30], and seemed less time-consuming compared to our technique. The use of new methods developed for Paralympic athletes may be recommended for use in future recreational-level research to collect this type of data. Moreover, there were more boys compared to girls in our sport-2 group. This may have influenced our results as evidence in healthy youth shows that girls are at increased risk of injuries while participating in PA compared to boys [34]. Low levels of PA and/or physical fitness seemed to increase injury incidence levels, but the exact mechanisms remain unclear [28]. In addition, no information about the pubertal maturation of the participants was collected. During pubertal maturation risk on growth-related injuries is high [34]. Future studies should take aspects like pubertal maturation, training history, training status and physical fitness level into account and may also investigate how the level of sport participation is related to injury and illness risks in order to develop risk profiles and injury prevention programs in more detail for youth with CDPD [30, 32, 34].