Applications of functional data analysis : A systematic review
- Ullah, Shahid, Finch, Caroline
- Authors: Ullah, Shahid , Finch, Caroline
- Date: 2013
- Type: Text , Journal article
- Relation: BMC Medical Research Methodology Vol. 13, no. 43 (2013), p.1-12
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Background Functional data analysis (FDA) is increasingly being used to better analyze, model and predict time series data. Key aspects of FDA include the choice of smoothing technique, data reduction, adjustment for clustering, functional linear modeling and forecasting methods. Methods A systematic review using 11 electronic databases was conducted to identify FDA application studies published in the peer-review literature during 1995–2010. Papers reporting methodological considerations only were excluded, as were non-English articles. Results In total, 84 FDA application articles were identified; 75.0% of the reviewed articles have been published since 2005. Application of FDA has appeared in a large number of publications across various fields of sciences; the majority is related to biomedicine applications (21.4%). Overall, 72 studies (85.7%) provided information about the type of smoothing techniques used, with B-spline smoothing (29.8%) being the most popular. Functional principal component analysis (FPCA) for extracting information from functional data was reported in 51 (60.7%) studies. One-quarter (25.0%) of the published studies used functional linear models to describe relationships between explanatory and outcome variables and only 8.3% used FDA for forecasting time series data. Conclusions Despite its clear benefits for analyzing time series data, full appreciation of the key features and value of FDA have been limited to date, though the applications show its relevance to many public health and biomedical problems. Wider application of FDA to all studies involving correlated measurements should allow better modeling of, and predictions from, such data in the future especially as FDA makes no a priori age and time effects assumptions.
- Authors: Ullah, Shahid , Finch, Caroline
- Date: 2013
- Type: Text , Journal article
- Relation: BMC Medical Research Methodology Vol. 13, no. 43 (2013), p.1-12
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Background Functional data analysis (FDA) is increasingly being used to better analyze, model and predict time series data. Key aspects of FDA include the choice of smoothing technique, data reduction, adjustment for clustering, functional linear modeling and forecasting methods. Methods A systematic review using 11 electronic databases was conducted to identify FDA application studies published in the peer-review literature during 1995–2010. Papers reporting methodological considerations only were excluded, as were non-English articles. Results In total, 84 FDA application articles were identified; 75.0% of the reviewed articles have been published since 2005. Application of FDA has appeared in a large number of publications across various fields of sciences; the majority is related to biomedicine applications (21.4%). Overall, 72 studies (85.7%) provided information about the type of smoothing techniques used, with B-spline smoothing (29.8%) being the most popular. Functional principal component analysis (FPCA) for extracting information from functional data was reported in 51 (60.7%) studies. One-quarter (25.0%) of the published studies used functional linear models to describe relationships between explanatory and outcome variables and only 8.3% used FDA for forecasting time series data. Conclusions Despite its clear benefits for analyzing time series data, full appreciation of the key features and value of FDA have been limited to date, though the applications show its relevance to many public health and biomedical problems. Wider application of FDA to all studies involving correlated measurements should allow better modeling of, and predictions from, such data in the future especially as FDA makes no a priori age and time effects assumptions.
Combining epidemiology and biomechanics in sports injury prevention research : A new approach for selecting suitable controls
- Finch, Caroline, Ullah, Shahid, McIntosh, Andrew
- Authors: Finch, Caroline , Ullah, Shahid , McIntosh, Andrew
- Date: 2011
- Type: Text , Journal article
- Relation: Sports Medicine Vol. 41, no. 1 (2011), p. 59-72
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Several important methodological issues need to be considered when designing sports injury case-control studies. Major design goals for case-control studies include the accounting for prior injury risk exposure, and optimal definitions of both cases and suitable controls are needed to ensure this. This article reviews methodological aspects of published sports injury case-control studies, particularly with regard to the selection of controls. It argues for a new approach towards selecting controls for case-control studies that draws on an interface between epidemiological and biomechanical concepts. A review was conducted to identify sport injury case-control studies published in the peer-review literature during 1985-2008. Overall, 32 articles were identified, of which the majority related to upper or lower extremity injuries. Matching considerations were used for control selection in 16 studies. Specific mention of application of biomechanical principles in the selection of appropriate controls was absent from all studies, including those purporting to evaluate the benefits of personal protective equipment to protect against impact injury. This is a problem because it could lead to biased conclusions, as cases and controls are not fully comparable in terms of similar biomechanical impact profiles relating to the injury incident, such as site of the impact on the body. The strength of the conclusions drawn from case-control studies, and the extent to which results can be generalized, is directly influenced by the definition and recruitment of cases and appropriate controls. Future studies should consider the interface between epidemiological and biomechanical concepts when choosing appropriate controls to ensure that proper adjustment of prior exposure to injury risk is made. To provide necessary guidance for the optimal selection of controls in case-control studies of interventions to prevent sports-related impact injury, this review outlines a new case-control selection strategy that reflects the importance of biomechanical considerations, which ensures that controls are selected based on the presence of the same global injury mechanism as the cases. To summarize, the general biomechanical principles that should apply to the selection of controls in future case-control studies are as follows: (i) each control must have been exposed to the same global injury mechanism as the case, (e.g. head impact, fall onto outstretched arm); and (ii) intrinsic (individual) factors (e.g. age, sex, skill level) that might modify the person's response to the relevant biomechanical loads are adjusted when either selecting the controls or are in the analysis phase. The same considerations for control selection apply to other study designs such as matched cohort studies or case-crossover studies. © 2011 Adis Data Information BV. All rights reserved.
- Authors: Finch, Caroline , Ullah, Shahid , McIntosh, Andrew
- Date: 2011
- Type: Text , Journal article
- Relation: Sports Medicine Vol. 41, no. 1 (2011), p. 59-72
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Several important methodological issues need to be considered when designing sports injury case-control studies. Major design goals for case-control studies include the accounting for prior injury risk exposure, and optimal definitions of both cases and suitable controls are needed to ensure this. This article reviews methodological aspects of published sports injury case-control studies, particularly with regard to the selection of controls. It argues for a new approach towards selecting controls for case-control studies that draws on an interface between epidemiological and biomechanical concepts. A review was conducted to identify sport injury case-control studies published in the peer-review literature during 1985-2008. Overall, 32 articles were identified, of which the majority related to upper or lower extremity injuries. Matching considerations were used for control selection in 16 studies. Specific mention of application of biomechanical principles in the selection of appropriate controls was absent from all studies, including those purporting to evaluate the benefits of personal protective equipment to protect against impact injury. This is a problem because it could lead to biased conclusions, as cases and controls are not fully comparable in terms of similar biomechanical impact profiles relating to the injury incident, such as site of the impact on the body. The strength of the conclusions drawn from case-control studies, and the extent to which results can be generalized, is directly influenced by the definition and recruitment of cases and appropriate controls. Future studies should consider the interface between epidemiological and biomechanical concepts when choosing appropriate controls to ensure that proper adjustment of prior exposure to injury risk is made. To provide necessary guidance for the optimal selection of controls in case-control studies of interventions to prevent sports-related impact injury, this review outlines a new case-control selection strategy that reflects the importance of biomechanical considerations, which ensures that controls are selected based on the presence of the same global injury mechanism as the cases. To summarize, the general biomechanical principles that should apply to the selection of controls in future case-control studies are as follows: (i) each control must have been exposed to the same global injury mechanism as the case, (e.g. head impact, fall onto outstretched arm); and (ii) intrinsic (individual) factors (e.g. age, sex, skill level) that might modify the person's response to the relevant biomechanical loads are adjusted when either selecting the controls or are in the analysis phase. The same considerations for control selection apply to other study designs such as matched cohort studies or case-crossover studies. © 2011 Adis Data Information BV. All rights reserved.
Ensuring implementation success: how should coach injury prevention education be improved if we want coaches to deliver safety programmes during training sessions?
- White, Peta, Otago, Leonie, Saunders, Natalie, Romiti, Maria, Donaldson, Alex, Ullah, Shahid, Finch, Caroline
- Authors: White, Peta , Otago, Leonie , Saunders, Natalie , Romiti, Maria , Donaldson, Alex , Ullah, Shahid , Finch, Caroline
- Date: 2014
- Type: Text , Journal article
- Relation: British Journal of Sports Medicine Vol. 48, no. 5 (2014), p. 402-403
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Coaches play a major role in encouraging and ensuring that participants of their teams adopt appropriate safety practices. However, the extent to which the coaches undertake this role will depend upon their attitudes about injury prevention, their perceptions of what the other coaches usually do and their own beliefs about how much control they have in delivering such programmes. Fifty-one junior netball coaches were surveyed about incorporating the teaching of correct (safe) landing technique during their delivery of training sessions to junior players. Overall, >94% of coaches had strongly positive attitudes towards teaching correct landing technique and >80% had strongly positive perceptions of their own control over delivering such programmes. Coaches’ ratings of social norms relating to what others think about teaching safe landing were more positive (>94%) than those relating to what others actually do (63–74%). In conclusion, the junior coaches were generally receptive towards delivering safe landing training programmes in the training sessions they led. Future coach education could include role modelling by prominent coaches so that more community-level coaches are aware that this is a behaviour that many coaches can, and do, engage in.
- Authors: White, Peta , Otago, Leonie , Saunders, Natalie , Romiti, Maria , Donaldson, Alex , Ullah, Shahid , Finch, Caroline
- Date: 2014
- Type: Text , Journal article
- Relation: British Journal of Sports Medicine Vol. 48, no. 5 (2014), p. 402-403
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Coaches play a major role in encouraging and ensuring that participants of their teams adopt appropriate safety practices. However, the extent to which the coaches undertake this role will depend upon their attitudes about injury prevention, their perceptions of what the other coaches usually do and their own beliefs about how much control they have in delivering such programmes. Fifty-one junior netball coaches were surveyed about incorporating the teaching of correct (safe) landing technique during their delivery of training sessions to junior players. Overall, >94% of coaches had strongly positive attitudes towards teaching correct landing technique and >80% had strongly positive perceptions of their own control over delivering such programmes. Coaches’ ratings of social norms relating to what others think about teaching safe landing were more positive (>94%) than those relating to what others actually do (63–74%). In conclusion, the junior coaches were generally receptive towards delivering safe landing training programmes in the training sessions they led. Future coach education could include role modelling by prominent coaches so that more community-level coaches are aware that this is a behaviour that many coaches can, and do, engage in.
Functional data modelling approach for analysing and predicting trends in incidence rates-an application to falls injury
- Ullah, Shahid, Finch, Caroline
- Authors: Ullah, Shahid , Finch, Caroline
- Date: 2010
- Type: Text , Journal article
- Relation: Osteoporosis International Vol. 21, no. 12 (2010), p. 2125-2134
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Summary: Policy decisions about the allocation of current and future resources should be based on the most accurate predictions possible. A functional data analysis (FDA) approach improves the understanding of current trends and future incidence of injuries. FDA provides more valid and reliable long-term predictions than commonly used methods. Introduction: Accurate information about predicted future injury rates is needed to inform public health investment decisions. It is critical that such predictions derived from the best available statistical models to minimise possible error in future injury incidence rates. Methods: FDA approach was developed to improve long-term predictions but is yet to be widely applied to injury epidemiology or other epidemiological research. Using the specific example of modelling age-specific annual incidence of fall-related severe head injuries of older people during 1970-2004 and predicting rates up to 2024 in Finland, this paper explains the principles behind FDA and demonstrates their superiority in terms of prediction accuracy over the more commonly reported ordinary least squares (OLS) approach. Results: Application of the FDA approach shows that the incidence of fall-related severe head injuries would increase by 2.3-2.6-fold by 2024 compared to 2004. The FDA predictions had 55% less prediction error than traditional OLS predictions when compared to actual data. Conclusions: In summary, FDA provides more accurate predictions of long-term incidence trends than commonly used methods. The production of FDA prediction intervals for future injury incidence rates gives likely guidance as to the likely accuracy of these predictions. © 2010 International Osteoporosis Foundation and National Osteoporosis Foundation.
- Authors: Ullah, Shahid , Finch, Caroline
- Date: 2010
- Type: Text , Journal article
- Relation: Osteoporosis International Vol. 21, no. 12 (2010), p. 2125-2134
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Summary: Policy decisions about the allocation of current and future resources should be based on the most accurate predictions possible. A functional data analysis (FDA) approach improves the understanding of current trends and future incidence of injuries. FDA provides more valid and reliable long-term predictions than commonly used methods. Introduction: Accurate information about predicted future injury rates is needed to inform public health investment decisions. It is critical that such predictions derived from the best available statistical models to minimise possible error in future injury incidence rates. Methods: FDA approach was developed to improve long-term predictions but is yet to be widely applied to injury epidemiology or other epidemiological research. Using the specific example of modelling age-specific annual incidence of fall-related severe head injuries of older people during 1970-2004 and predicting rates up to 2024 in Finland, this paper explains the principles behind FDA and demonstrates their superiority in terms of prediction accuracy over the more commonly reported ordinary least squares (OLS) approach. Results: Application of the FDA approach shows that the incidence of fall-related severe head injuries would increase by 2.3-2.6-fold by 2024 compared to 2004. The FDA predictions had 55% less prediction error than traditional OLS predictions when compared to actual data. Conclusions: In summary, FDA provides more accurate predictions of long-term incidence trends than commonly used methods. The production of FDA prediction intervals for future injury incidence rates gives likely guidance as to the likely accuracy of these predictions. © 2010 International Osteoporosis Foundation and National Osteoporosis Foundation.
Implementing an exercise-training programme to prevent lower-limb injuries : Considerations for the development of a randomised controlled trial intervention delivery plan
- Finch, Caroline, White, Peta, Twomey, Dara, Ullah, Shahid
- Authors: Finch, Caroline , White, Peta , Twomey, Dara , Ullah, Shahid
- Date: 2011
- Type: Text , Journal article
- Relation: British Journal of Sports Medicine Vol. 45, no. 10 (2011), p. 791-796
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Objective To identify important considerations for the delivery of an exercise training intervention in a randomised controlled trial to maximise subsequent participation in that randomised controlled trial and intervention uptake. Design A cross-sectional survey, with a theoretical basis derived from the Health Belief Model (HBM) and the Reach, Efficacy/Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework. Participants 374 male senior Australian Football players, aged 17-38 years. Main outcome measurements Beliefs about lowerlimb injury causation/prevention, and the relative value of exercise training for performance and injury prevention. The data are interpreted within HBM constructs and implications for subsequent intervention implementation considered within the RE-AIM framework. Ordinal logistic regression compared belief scores across player characteristics. Results 74.4% of players agreed that doing specific exercises during training would reduce their risk of lower-limb injury and would be willing to undertake them. However, 64.1% agreed that training should focus more on improving game performance than injury prevention. Younger players (both in terms of age and playing experience) generally had more positive views. Players were most supportive of kicking (98.9%) and ball-handling (97.0%) skills for performance and warm-up runs and cool-downs (both 91.5%) for injury prevention. Fewer than three-quarters of all players believed that balance (69.2%), landing (71.3%) or cutting/stepping (72.8) training had injury-prevention benefits. Conclusions Delivery of future exercise training programmes for injury prevention aimed at these players should be implemented as part of routine football activities and integrated with those as standard practice, as a means of associating them with training benefits for this sport.
- Authors: Finch, Caroline , White, Peta , Twomey, Dara , Ullah, Shahid
- Date: 2011
- Type: Text , Journal article
- Relation: British Journal of Sports Medicine Vol. 45, no. 10 (2011), p. 791-796
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Objective To identify important considerations for the delivery of an exercise training intervention in a randomised controlled trial to maximise subsequent participation in that randomised controlled trial and intervention uptake. Design A cross-sectional survey, with a theoretical basis derived from the Health Belief Model (HBM) and the Reach, Efficacy/Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework. Participants 374 male senior Australian Football players, aged 17-38 years. Main outcome measurements Beliefs about lowerlimb injury causation/prevention, and the relative value of exercise training for performance and injury prevention. The data are interpreted within HBM constructs and implications for subsequent intervention implementation considered within the RE-AIM framework. Ordinal logistic regression compared belief scores across player characteristics. Results 74.4% of players agreed that doing specific exercises during training would reduce their risk of lower-limb injury and would be willing to undertake them. However, 64.1% agreed that training should focus more on improving game performance than injury prevention. Younger players (both in terms of age and playing experience) generally had more positive views. Players were most supportive of kicking (98.9%) and ball-handling (97.0%) skills for performance and warm-up runs and cool-downs (both 91.5%) for injury prevention. Fewer than three-quarters of all players believed that balance (69.2%), landing (71.3%) or cutting/stepping (72.8) training had injury-prevention benefits. Conclusions Delivery of future exercise training programmes for injury prevention aimed at these players should be implemented as part of routine football activities and integrated with those as standard practice, as a means of associating them with training benefits for this sport.
Statistical modelling for falls count data
- Ullah, Shahid, Finch, Caroline, Day, Lesley
- Authors: Ullah, Shahid , Finch, Caroline , Day, Lesley
- Date: 2010
- Type: Text , Journal article
- Relation: Accident Analysis and Prevention Vol. 42, no. 2 (2010), p. 384-392
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Falls and their injury outcomes have count distributions that are highly skewed toward the right with clumping at zero, posing analytical challenges. Different modelling approaches have been used in the published literature to describe falls count distributions, often without consideration of the underlying statistical and modelling assumptions. This paper compares the use of modified Poisson and negative binomial (NB) models as alternatives to Poisson (P) regression, for the analysis of fall outcome counts. Four different count-based regression models (P, NB, zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB)) were each individually fitted to four separate fall count datasets from Australia, New Zealand and United States. The finite mixtures of P and NB regression models were also compared to the standard NB model. Both analytical (F, Vuong and bootstrap tests) and graphical approaches were used to select and compare models. Simulation studies assessed the size and power of each model fit. This study confirms that falls count distributions are over-dispersed, but not dispersed due to excess zero counts or heterogeneous population. Accordingly, the P model generally provided the poorest fit to all datasets. The fit improved significantly with NB and both zero-inflated models. The fit was also improved with the NB model, compared to finite mixtures of both P and NB regression models. Although there was little difference in fit between NB and ZINB models, in the interests of parsimony it is recommended that future studies involving modelling of falls count data routinely use the NB models in preference to the P or ZINB or finite mixture distribution. The fact that these conclusions apply across four separate datasets from four different samples of older people participating in studies of different methodology, adds strength to this general guiding principle. © 2009 Elsevier Ltd. All rights reserved.
- Authors: Ullah, Shahid , Finch, Caroline , Day, Lesley
- Date: 2010
- Type: Text , Journal article
- Relation: Accident Analysis and Prevention Vol. 42, no. 2 (2010), p. 384-392
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Falls and their injury outcomes have count distributions that are highly skewed toward the right with clumping at zero, posing analytical challenges. Different modelling approaches have been used in the published literature to describe falls count distributions, often without consideration of the underlying statistical and modelling assumptions. This paper compares the use of modified Poisson and negative binomial (NB) models as alternatives to Poisson (P) regression, for the analysis of fall outcome counts. Four different count-based regression models (P, NB, zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB)) were each individually fitted to four separate fall count datasets from Australia, New Zealand and United States. The finite mixtures of P and NB regression models were also compared to the standard NB model. Both analytical (F, Vuong and bootstrap tests) and graphical approaches were used to select and compare models. Simulation studies assessed the size and power of each model fit. This study confirms that falls count distributions are over-dispersed, but not dispersed due to excess zero counts or heterogeneous population. Accordingly, the P model generally provided the poorest fit to all datasets. The fit improved significantly with NB and both zero-inflated models. The fit was also improved with the NB model, compared to finite mixtures of both P and NB regression models. Although there was little difference in fit between NB and ZINB models, in the interests of parsimony it is recommended that future studies involving modelling of falls count data routinely use the NB models in preference to the P or ZINB or finite mixture distribution. The fact that these conclusions apply across four separate datasets from four different samples of older people participating in studies of different methodology, adds strength to this general guiding principle. © 2009 Elsevier Ltd. All rights reserved.
Statistical modelling for recurrent events : An application to sports injuries
- Ullah, Shahid, Gabbett, Tim, Finch, Caroline
- Authors: Ullah, Shahid , Gabbett, Tim , Finch, Caroline
- Date: 2014
- Type: Text , Journal article
- Relation: British Journal of Sports Medicine Vol. 48, no. 17 (2014), p. 1287-1293
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Background: Injuries are often recurrent, with subsequent injuries influenced by previous occurrences and hence correlation between events needs to be taken into account when analysing such data. Objective: This paper compares five different survival models (Cox proportional hazards (CoxPH) model and the following generalisations to recurrent event data: Andersen-Gill (A-G), frailty, Wei-Lin-Weissfeld total time (WLW-TT) marginal, Prentice-Williams-Peterson gap time (PWP-GT) conditional models) for the analysis of recurrent injury data. Methods: Empirical evaluation and comparison of different models were performed using model selection criteria and goodness-of-fit statistics. Simulation studies assessed the size and power of each model fit. Results: The modelling approach is demonstrated through direct application to Australian National Rugby League recurrent injury data collected over the 2008 playing season. Of the 35 players analysed, 14 (40%) players had more than 1 injury and 47 contact injuries were sustained over 29 matches. The CoxPH model provided the poorest fit to the recurrent sports injury data. The fit was improved with the A-G and frailty models, compared to WLW-TT and PWP-GT models. Conclusions: Despite little difference in model fit between the A-G and frailty models, in the interest of fewer statistical assumptions it is recommended that, where relevant, future studies involving modelling of recurrent sports injury data use the frailty model inpreference to the CoxPH model or its other generalisations. The paper provides a rationale for future statistical modelling approaches for recurrent sports injury.
- Authors: Ullah, Shahid , Gabbett, Tim , Finch, Caroline
- Date: 2014
- Type: Text , Journal article
- Relation: British Journal of Sports Medicine Vol. 48, no. 17 (2014), p. 1287-1293
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Background: Injuries are often recurrent, with subsequent injuries influenced by previous occurrences and hence correlation between events needs to be taken into account when analysing such data. Objective: This paper compares five different survival models (Cox proportional hazards (CoxPH) model and the following generalisations to recurrent event data: Andersen-Gill (A-G), frailty, Wei-Lin-Weissfeld total time (WLW-TT) marginal, Prentice-Williams-Peterson gap time (PWP-GT) conditional models) for the analysis of recurrent injury data. Methods: Empirical evaluation and comparison of different models were performed using model selection criteria and goodness-of-fit statistics. Simulation studies assessed the size and power of each model fit. Results: The modelling approach is demonstrated through direct application to Australian National Rugby League recurrent injury data collected over the 2008 playing season. Of the 35 players analysed, 14 (40%) players had more than 1 injury and 47 contact injuries were sustained over 29 matches. The CoxPH model provided the poorest fit to the recurrent sports injury data. The fit was improved with the A-G and frailty models, compared to WLW-TT and PWP-GT models. Conclusions: Despite little difference in model fit between the A-G and frailty models, in the interest of fewer statistical assumptions it is recommended that, where relevant, future studies involving modelling of recurrent sports injury data use the frailty model inpreference to the CoxPH model or its other generalisations. The paper provides a rationale for future statistical modelling approaches for recurrent sports injury.
The Development of the Lunchtime Enjoyment of Activity and Play Questionnaire
- Hyndman, Brendon, Telford, Amanda, Finch, Caroline, Ullah, Shahid, Benson, Amanda
- Authors: Hyndman, Brendon , Telford, Amanda , Finch, Caroline , Ullah, Shahid , Benson, Amanda
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of School Health Vol. 83, no. 4 (2013), p. 256-264
- Full Text:
- Reviewed:
- Description: Background: Enjoyment of physical activity is as an important determinant of children's participation in physical activity. Despite this, there is an absence of reliable measures for assessing children's enjoyment of play activities during school lunchtime. The purpose of this study was to develop and assess the reliability of the Lunchtime Enjoyment of Activity and Play (LEAP) Questionnaire. Methods: Questionnaire items were categorized employing a social-ecological framework including intrapersonal (20 items), interpersonal (2 items), and physical environment/policy (17 items) components to identify the broader influences on children's enjoyment. An identical questionnaire was administered on 2 occasions, 10days apart, to 176 children aged 8-12years, attending a government elementary school in regional Victoria, Australia. RESULTS: Test-retest reliability confirmed that 35 of 39 LEAP Questionnaire items had at least moderate kappa agreement ranging from .44 to .78. Although 4 individual kappa values were low, median kappa scores for each aggregated social-ecological component reached at least moderate agreement (.44-.60). Conclusions: This study confirms the LEAP Questionnaire to be a reliable, context-specific instrument with sound content, and face validity that employs a social-ecological framework to assess children's enjoyment of school play and lunchtime activities. © 2013, American School Health Association.
- Description: 2003010857
- Authors: Hyndman, Brendon , Telford, Amanda , Finch, Caroline , Ullah, Shahid , Benson, Amanda
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of School Health Vol. 83, no. 4 (2013), p. 256-264
- Full Text:
- Reviewed:
- Description: Background: Enjoyment of physical activity is as an important determinant of children's participation in physical activity. Despite this, there is an absence of reliable measures for assessing children's enjoyment of play activities during school lunchtime. The purpose of this study was to develop and assess the reliability of the Lunchtime Enjoyment of Activity and Play (LEAP) Questionnaire. Methods: Questionnaire items were categorized employing a social-ecological framework including intrapersonal (20 items), interpersonal (2 items), and physical environment/policy (17 items) components to identify the broader influences on children's enjoyment. An identical questionnaire was administered on 2 occasions, 10days apart, to 176 children aged 8-12years, attending a government elementary school in regional Victoria, Australia. RESULTS: Test-retest reliability confirmed that 35 of 39 LEAP Questionnaire items had at least moderate kappa agreement ranging from .44 to .78. Although 4 individual kappa values were low, median kappa scores for each aggregated social-ecological component reached at least moderate agreement (.44-.60). Conclusions: This study confirms the LEAP Questionnaire to be a reliable, context-specific instrument with sound content, and face validity that employs a social-ecological framework to assess children's enjoyment of school play and lunchtime activities. © 2013, American School Health Association.
- Description: 2003010857
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