Estimating the cost of sports injuries: A scoping review.

OBJECTIVES: Provide an overview of the methods used to estimate the cost of sports-related injury published to date, and to highlight considerations and opportunities for future research. DESIGN: Scoping review. METHODS: Scopus, MEDLINE and CINHAL were searched from 1st January 2000 to 1st January 2023. Studies were screened by two independent reviewers and were eligible if they reported on a cost analysis or cost estimation of sports related injury. RESULTS: Thirty-one studies fulfilled the inclusion criteria. Twenty-seven studies (87 %) were published since 2014. The type of costs included direct healthcare costs (12 studies), indirect costs (10 studies) and a combination of both (9 studies). Twenty-one studies (68 %) used a bottom-up costing approach to measure costs of sports injury and estimated direct costs from the service rates or fee schedules of health systems, hospital, insurance companies or national insurance boards. A top-down approach was used in seven studies (23 %) to estimate the indirect salary cost of time-loss injuries using data from publicly available resources. Ten studies were from the cost perspective of a sporting organisation (32 %). There was a lack of explicit reporting of the costing method used and the perspective of those bearing the costs. CONCLUSIONS: Estimating the cost of sports injuries is an emerging area of research, with publications increasing in recent years. However, there remains a lack of methodological guidance to inform or appraise these studies. The expansion of established cost of illness checklists with sport injury explanations to guide future cost of sports injury studies is recommended.

Multimodal physiological sensing for the assessment of acute pain.

Pain assessment is a challenging task encountered by clinicians. In clinical settings, patients' self-report is considered the gold standard in pain assessment. However, patients who are unable to self-report pain are at a higher risk of undiagnosed pain. In the present study, we explore the use of multiple sensing technologies to monitor physiological changes that can be used as a proxy for objective measurement of acute pain. Electrodermal activity (EDA), photoplethysmography (PPG), and respiration (RESP) signals were collected from 22 participants under two pain intensities (low and high) and on two different anatomical locations (forearm and hand). Three machine learning models were implemented, including support vector machines (SVM), decision trees (DT), and linear discriminant analysis (LDA) for the identification of pain. Various pain scenarios were investigated, identification of pain (no pain, pain), multiclass (no pain, low pain, high pain), and identification of pain location (forearm, hand). Reference classification results from individual sensors and from all sensors together were obtained. After feature selection, results showed that EDA was the most informative sensor in the three pain conditions, 93.2±8% in identification of pain, 68.9±10% in the multiclass problem, and 56.0±8% for the identification of pain location. These results identify EDA as the superior sensor in our experimental conditions. Future work is required to validate the obtained features to improve its feasibility in more realistic scenarios. Finally, this study proposes EDA as a candidate to design a tool that can assist clinicians in the assessment of acute pain of nonverbal patients.

A systematic review of neurophysiological sensing for the assessment of acute pain.

Pain is a complex and personal experience that presents diverse measurement challenges. Different sensing technologies can be used as a surrogate measure of pain to overcome these challenges. The objective of this review is to summarise and synthesise the published literature to: (a) identify relevant non-invasive physiological sensing technologies that can be used for the assessment of human pain, (b) describe the analytical tools used in artificial intelligence (AI) to decode pain data collected from sensing technologies, and (c) describe the main implications in the application of these technologies. A literature search was conducted in July 2022 to query PubMed, Web of Sciences, and Scopus. Papers published between January 2013 and July 2022 are considered. Forty-eight studies are included in this literature review. Two main sensing technologies (neurological and physiological) are identified in the literature. The sensing technologies and their modality (unimodal or multimodal) are presented. The literature provided numerous examples of how different analytical tools in AI have been applied to decode pain. This review identifies different non-invasive sensing technologies, their analytical tools, and the implications for their use. There are significant opportunities to leverage multimodal sensing and deep learning to improve accuracy of pain monitoring systems. This review also identifies the need for analyses and datasets that explore the inclusion of neural and physiological information together. Finally, challenges and opportunities for designing better systems for pain assessment are also presented.

A multifactorial evaluation of illness risk factors in athletes preparing for the Summer Olympic Games.

OBJECTIVES: Illness can disrupt training and competition performance of athletes. Few studies have quantified the relative contribution of the known medical, behavioural and lifestyle risk factors. DESIGN: Cross-sectional. METHODS: Olympic athletes from 11 sports (n=221) were invited to complete questionnaires administered nine months before the Rio 2016 Olympic Games. These included the Depression, Anxiety and Stress Questionnaire (DASS-21), Perceived Stress Scale (PSS), Dispositional Resilience Scale (DRS), Recovery-Stress Questionnaire (REST-Q-52 item), Low Energy in Females Questionnaire (LEAF-Q), a modified Personal and Household Hygiene questionnaire, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, and custom-made questionnaires on probiotic usage and travel. An illness (case) was defined as an event which limited training or competition for greater hours in the prior month. Odds ratios and attributable fractions in the population (AFP) were utilised for categorical variables with independent t-tests or Wilcoxon rank-sum for continuous variables. RESULTS: Eighty-one athletes responded (male, n=26; female, n=55). There were 16 illness cases and 65 controls. Female athletes were at higher odds of illness (OR=9.4, 95%CI 1.3-410, p=0.01, AFP=0.84). Low energy availability (LEAF-Q score ≥8: OR=7.4, 95%CI 0.78-352, p=0.04, AFP=0.76), depression symptoms (DASS-21: depression score >4, OR=8.4, 95%CI 1.1-59, p<0.01; AFP=0.39) and higher perceived stress (PSS: 10-item, p=0.04) were significantly associated with illness. CONCLUSIONS: Female sex, low energy availability, and mental health are associated with sports incapacity (time loss) due to illness. Low energy availability had high attributable fractions in the population and stands out as a primary association with illness.

Promoting physical activity after stroke via self-management: a feasibility study.

BACKGROUND: Many people with mild disability after stroke are physically inactive despite the risk of recurrent stroke. A self-management program may be one strategy to increase physical activity in stroke survivors. OBJECTIVES: To investigate the feasibility of a self-management program, and determine whether self-management can increase daily physical activity levels and self-efficacy for exercise, decrease cardiovascular risk, and improve walking ability, participation, and quality of life in people with mild disability after stroke. METHOD: A Phase I, single-group, pre-post intervention study was carried out with twenty stroke survivors who had mild disability and were discharged directly home from acute stroke units. A self-management program was delivered via five home-based sessions over 3 months, incorporating: education, goal setting, barrier identification, self-monitoring, and feedback. Feasibility of the intervention was determined by examining adherence, duration, usefulness, and safety. Clinical outcomes were amount of physical activity (duration of moderate physical activity in min/day and counts of physical activity in steps/day), self-efficacy, cardiovascular risk, walking ability, participation, and quality of life. RESULTS: The intervention was feasible with 96% of sessions being delivered, each taking less than an hour (41 min, SD 12). Participants perceived the self-management program to be useful and there were few adverse events. At 3 months, participants completed 27 min/day (95% CI 4-49) more moderate physical activity than at baseline and 16 min/day (95% CI -10 to 42) at 6 months. CONCLUSION: Self-management appears to be feasible and has the potential to increase physical activity in people with mild disability after stroke. A Phase II randomized trial is warranted.

The Relationship Between Subjective Falls-Risk Assessment Tools and Functional, Health-Related, and Body Composition Characteristics.

We sought to explore the relationship between two subjective falls-risk assessment tools (Falls Efficacy Scale-International [FES-I] and Activities-Specific Balance Confidence [ABC] Scale) and functional, health-related, and body composition characteristics. A total of 245 community-dwelling people aged 60 to 88 years underwent assessments for subjective falls risk (using the FES-I and ABC Scale), health-related (cognitive; Short-Form Health Survey [SF-12]), functional (physical activity and physical function), and body composition characteristics (measured by dual X-ray absorptiometry). The FES-I and ABC Scale are strongly correlated with each other for females and males ( r = -.70, p < .001; r = -.65, p < .001), respectively. There are substantial differences between males and females when they self-assess their risk of falling as well as what characteristics contribute to explaining these self-assessments. Females are potentially more self-aware of their functional, body composition and health-related characteristics to better estimate their own risk of falling. FES-I correlates better with functional, body composition, and health-related characteristics, and thus may be more appropriate for use than the ABC in community-dwelling older adults.

Longitudinal comparison of a physiotherapist-led, home-based and group-based program for increasing physical activity in community-dwelling middle-aged adults.

Few studies have compared the longer-term effects of physical activity interventions. Here we compare a 6-month physiotherapist-led, home-based physical activity program to a community group exercise program over 2 years. Healthy, sedentary community-dwelling 50-65 year olds were recruited to a non-randomised community group exercise program (G, n = 93) or a physiotherapist-led, home-based physical activity program (HB, n = 65). Outcomes included 'sufficient' physical activity (Active Australia Survey), minutes of moderate-vigorous physical activity (ActiGraph GT1M), aerobic capacity (2-min step-test), quality of life (SF-12v2), blood pressure, waist circumference, waist-to-hip ratio and body mass index. Outcome measures were collected at baseline, 6, 12, 18 and 24 months. Using intention-to-treat analysis, both interventions resulted in significant and sustainable increases in the number of participants achieving 'sufficient' physical activity (HB 22 v. 41%, G 22 v. 47%, P ≤ 0.001) and decreases in waist circumference (HB 90 v. 89 cm, G 93 v. 91 cm, P < 0.001) over 2 years. The home-based program was less costly (HB A$47 v. G $84 per participant) but less effective in achieving the benefits at 2 years. The physiotherapist-led, home-based physical activity program may be a low-cost alternative to increase physical activity levels for those not interested in, or unable to attend, a group exercise program.

Community group exercise versus physiotherapist-led home-based physical activity program: barriers, enablers and preferences in middle-aged adults.

BACKGROUND/PURPOSE: Barriers and enablers of physical activity have been investigated, but it remains unclear what middle-aged adults' physical activity preferences are. Two physical activity interventions were compared to determine barriers, enablers and preferences for physical activity format in sedentary, community-dwelling 50- to 65-year-olds. METHODS: Using mixed methods, 37 Physical Activity at Home (PAAH) participants took part in focus groups at the end of the intervention period and completed the Active Australia Survey (AAS). Participants were divided into three sub-groups: (1) group exercise attendees (GA, n = 14); (2) group exercise non-attendees (GNA, n = 9); and (3) physiotherapist-led home-based physical activity program attendees (HB, n = 14). Focus groups were audio-taped, transcribed, coded and analysed using an inductive thematic approach. Thirty-seven exit telephone calls with GNA were included in the analysis. RESULTS: Cost, self-efficacy, work and carer commitments were major themes identified for GA and GNA. HB participants reported fewer barriers and a number of enablers, including flexibility of the program and physiotherapist instruction. HB and GNA were younger than GA (p< 0.05), more likely to be in paid employment and GNA participants were insufficiently active (p ≤ 0.01). All participants preferred some home-based physical activity, although a variety of formats was indicated. CONCLUSION: The barriers, enablers and preferences indicate that the physiotherapist-led home-based physical activity program with initial face-to-face contact and telephone support may increase the adoption and maintenance of physical activity in middle-aged adults, particularly for those not interested in, or unable to attend, group exercise.

Longitudinal patterns of physical activity in children aged 8 to 12 years: the LOOK study.

BACKGROUND: Data on longitudinal monitoring of daily physical activity (PA) patterns in youth over successive years is scarce but may provide valuable information for intervention strategies aiming to promote PA. METHODS: Participants were 853 children (starting age ~8 years) recruited from 29 Australian elementary schools. Pedometers were worn for a 7-day period each year over 5 consecutive years to assess PA volume (steps per day) and accelerometers were worn concurrently in the final 2 years to assess PA volume (accelerometer counts (AC) per day), moderate and vigorous PA (MVPA), light PA (LPA) and sedentary time (SED). A general linear mixed model was used to examine daily and yearly patterns. RESULTS: A consistent daily pattern of pedometer step counts, AC, MVPA and LPA emerged during each year, characterised by increases on school days from Monday to Friday followed by a decrease on the weekend. Friday was the most active and Sunday the least active day. The percentage of girls and boys meeting international recommendations of 11,000 and 13,000 steps/day respectively on a Monday, Friday and Sunday were 36%, 50%, 21% for boys and 35%, 45%, 18% for girls. The equivalent percentages meeting the recommended MVPA of >60 min/day on these days were 29%, 39%, 16% for boys and 15%, 21%, 10% for girls. Over the 5 years, boys were more active than girls (mean steps/day of 10,506 vs 8,750; p<0.001) and spent more time in MVPA (mean of 42.8 vs 31.1 min/day; p<0.001). Although there was little evidence of any upward or downward trend in steps/day from age 8 to 12 years, there was a trend toward lower MVPA, LPA and a corresponding increase in SED from age 11 to 12 years. CONCLUSION: A weekly pattern of PA occurred in children as young as age 8 on a day by day basis; these patterns persisting through to age 12. In addition to supporting previous evidence of insufficient PA in children, our data, in identifying the level and incidence of insufficiency on each day of the week, may assist in the development of more specific strategies to increase PA in community based children.

Ultrasound assessment of the anatomical validity of T3 and L4 as sEMG recording sites.

The accuracy of surface EMG measurement is dependent upon minimizing potential crosstalk from other muscles. Although they are deeply situated, in places the erector spinae are covered with electrically silent aponeuroses rather than active muscle tissue. Theoretically these aponeuroses can serve as windows for sEMG recordings. A recent anatomical study concluded that T3 and L4 are ideal sites for recording the ES because the superficial muscle aponeuroses are wide at these sites. The aim of this prospective study was to investigate these sites in vivo using real time ultrasound. Ultrasound images from 20 subjects (10<30 years and 10>70 years; equal numbers of males and females in each group) were acquired during rest and in prone extension with the arms in three different positions. The most superficial aponeurosis widths were measured. The mean T3 aponeurosis width reduced significantly in extension from 4.4±4.7mm at rest to 1.8±2.6mm in extension (p<0.0001). Males had significantly smaller T3 aponeurosis widths than females (p=0.049). The mean L4 aponeurosis width also significantly decreased in extension from 35.5±7.0mm at rest to 29.9±7.2mm in extension (p<0.0001) due to 'doming' of the aponeurosis. Our results demonstrate that T3 is not a reliable site over which to record the ES because the aponeurosis width is too narrow. L4 is a good site if the electrodes are placed no more than 20mm from the midline.