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1. Classification of variants of reduced penetrance in high-penetrance cancer susceptibility genes: Framework for genetics clinicians and clinical scientists by CanVIG-UK (Cancer Variant Interpretation Group-UK)

Author

Turnbull, C., Garrett, A., Loong, L., Choi, S., Torr, B., Allen, S., Durkie, M., Callaway, A., Drummond, J., Burghel, G.J., Robinson, R., Berry, I.R., Wallace, A.J., Eccles, D.M., Tischkowitz, M., Ellard, S., Hanson, H., Baple, E., Evans, D.G., Woodward, E., Lalloo, F., Samant, S., Lucassen, A., Znaczko, A., Shaw, A., Ansari, A., Kumar, A., Donaldson, A., Murray, A., Ross, A., Taylor-Beadling, A., Taylor, A., Innes, A., Brady, A., Kulkarni, A., Hogg, A.C., Bowden, A. Ramsay, Hadonou, A., Coad, B., McIldowie, B., Speight, B., DeSouza, B., Mullaney, B., McKenna, C., Brewer, C., Olimpio, C., Clabby, C., Crosby, C., Jenkins, C., Armstrong, C., Bowles, C., Brooks, C., Byrne, C., Maurer, C., Baralle, D., Chubb, D., Stobo, D., Moore, D., O'Sullivan, D., Donnelly, D., Randhawa, D., Halliday, D., Atkinson, E., Rauter, E., Johnston, E., Maher, E., Sofianopoulou, E., Petrides, E., McRonald, F., Pelz, F., Frayling, I., Corbett, G., Rea, G., Clouston, H., Powell, H., Williamson, H., Carley, H., Thomas, H.J.W., Tomlinson, I., Cook, J., Hoyle, J., Tellez, J., Whitworth, J., Williams, J., Murray, J., Campbell, J., Tolmie, J., Field, J., Mason, J., Burn, J., Bruty, J., Callaway, J., Grant, J., Del Rey Jimenez, J., Pagan, J., VanCampen, J., Barwell, J., Monahan, K., Tatton-Brown, K., Ong, K.R., Murphy, K., Andrews, K., Mokretar, K., Cadoo, K., Smith, K., Baker, K., Brown, K., Reay, K., McKay Bounford, K., Bradshaw, K., Russell, K., Stone, K., Snape, K., Crookes, L., Reed, L., Taggart, L., Yarram, L., Cobbold, L., Walker, L., Hawkes, L., Busby, L., Izatt, L., Kiely, L., Hughes, L., Side, L., Sarkies, L., Greenhalgh, K.-L., Shanmugasundaram, M., Duff, M., Bartlett, M., Watson, M., Owens, M., Bradford, M., Huxley, M., Slean, M., Ryten, M., Smith, M., Ahmed, M., Roberts, N., O'Brien, C., Middleton, O., Tarpey, P., Logan, P., Dean, P., May, P., Brace, P., Tredwell, R., Harrison, R., Hart, R., Kirk, R., Martin, R., Nyanhete, R., Wright, R., Davidson, R., Cleaver, R., Talukdar, S., Butler, S., Sampson, J., Ribeiro, S., Dell, S., Mackenzie, S., Hegarty, S., Albaba, S., McKee, S., Palmer-Smith, S., Heggarty, S., MacParland, S., Greville-Heygate, S., Daniels, S., Prapa, S., Abbs, S., Tennant, S., Hardy, S., MacMahon, S., McVeigh, T., Foo, T., Bedenham, T., Cranston, T., McDevitt, T., Clowes, V., Tripathi, V., McConnell, V., Woodwaer, N., Wallis, Y., Kemp, Z., Mullan, G., Pierson, L., Rainey, L., Joyce, C., Timbs, A., Reuther, A.-M., Frugtniet, B., Husher, C., Lawn, C., Corbett, C., Nocera-Jijon, D., Reay, D., Cross, E., Ryan, F., Lindsay, H., Oliver, J., Dring, J., Spiers, J., Harper, J., Ciucias, K., Connolly, L., Tsang, M., Brown, R., Shepherd, S., Begum, S., Tadiso, T., Linton-Willoughby, T., Heppell, H., Sahan, K., Worrillow, L., Allen, Z., Watt, C., Hegarty, M., Mitchell, R., Coles, R., Nickless, G., Cojocaru, E., Doal, I., Sava, F., McCarthy, C., Jeeneea, R., Goudie, D., McConachie, M., Botosneanu, S., Kavanaugh, G., Sherlaw, C., Tsoulaki, O., Forde, C., Petley, E., Jones, A.-B., Oprych, K., Pryde, S., Hyder, Z., Elkhateeb, N., Braham, R., Hanington, L., Huntley, C., Irving, R., Sadan, A., Ramos, M., Elliot, C., Wren, D., Lobo, D., McLean, J., May, D., Kearney, L., Campbell, T., Asakura, K., Alwadi, L., O’Shea, R., Gabriel, J., Chiecchio, L., Bowman, P., Sutton, L.A., Walsh, C., Cloke, V., Ucanok, D., Davies, J., Pleasance, B., Maguire, E., Whaite, A., Best, S., Westbury, S., Logan, A., Navarajasegaran, D., Bench, A., Wightman, P., Cartwright, A., Higgs, E., J.Bott, Whitehouse, H., Stevens, J., Martin, D., Dunlop, J., Thomas, S., Sau, C., Farndon, S., Coleman, N., Angelini, P., Massey, H., Rowlands, C., Garcia-Petit, C., Gillespie, K., Alder, A., Middleton, E., Cassidy, C., Orfali, N., Webb, A., Luharia, A., Walker, N., Charlton, J., Andreou, A., Peddie, J., Khan, M., Wilkinson, L., Bezuidenhout, H., Edis, M., Callard, A., Ostrowski, P., Moverley, P., Bean, K., Dunne, A., Moleirinho, A., Waller, S., Cox, K., Greensmith, L., Brittle, A., Gossan, N., Freestone, L., Shak, C., Langford, T., Clinch, Y., Livesey, H., Borland, S., Joshi, A., Wall, K., Whitworth, A., Wilsdon, A., Edgerley, K., Pugh, S., Chrysochoidi, N., Mutch, S., McMullan, C., Johnston, Y., Muraru, M., May, A., Begum, R., Smith, C., Patel, R., Bhatnagar, I., Brown, D., Willan, J., Taylor, S., Jones, K., Ramsden, C., Taiwo, O., Jaudzemaite, J., Sharmin, R., Young, L., O’Dubhshlaine, C., McSorley, L., Rodriguez, I. Abreu, Lillis, S., Alexopoulos, P., Mortensson, E., Kingham, L., Moore, R., Kosicka-Slawinska, M., Aslam, S., Wells, R., Carter, A., Warren, H., Rolf, E., Reed, H., Pearce, L., Lock, D., Ali, F., Kolozi, A., White, N., Wood, D., Hayden, C., Garrett, Alice, Allen, Sophie, Durkie, Miranda, Burghel, George J., Robinson, Rachel, Callaway, Alison, Field, Joanne, Frugtniet, Bethan, Palmer-Smith, Sheila, Grant, Jonathan, Pagan, Judith, McDevitt, Trudi, Rowlands, Charlie F., McVeigh, Terri, Hanson, Helen, and Turnbull, Clare

Published
2025
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3. Online Machine Learning Audiometry

Author

Barbour, Dennis L., Howard, Rebecca T., Song, Xinyu D., Metzger, Nikki, Sukesan, Kiron A., DiLorenzo, James C., Snyder, Braham R. D., Chen, Jeff Y., Degen, Eleanor A., Buchbinder, Jenna M., and Heisey, Katherine L.

Published
2019
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13. Classification of variants of reduced penetrance in high-penetrance cancer susceptibility genes: Framework for genetics clinicians and clinical scientists by CanVIG-UK (Cancer Variant Interpretation Group-UK)

Author

Garrett, Alice, Allen, Sophie, Durkie, Miranda, Burghel, George J., Robinson, Rachel, Callaway, Alison, Field, Joanne, Frugtniet, Bethan, Palmer-Smith, Sheila, Grant, Jonathan, Pagan, Judith, McDevitt, Trudi, Rowlands, Charlie F., McVeigh, Terri, Hanson, Helen, Turnbull, Clare, Turnbull, C., Garrett, A., Loong, L., Choi, S., Torr, B., Allen, S., Durkie, M., Callaway, A., Drummond, J., Burghel, G.J., Robinson, R., Berry, I.R., Wallace, A.J., Eccles, D.M., Tischkowitz, M., Ellard, S., Hanson, H., Baple, E., Evans, D.G., Woodward, E., Lalloo, F., Samant, S., Lucassen, A., Znaczko, A., Shaw, A., Ansari, A., Kumar, A., Donaldson, A., Murray, A., Ross, A., Taylor-Beadling, A., Taylor, A., Innes, A., Brady, A., Kulkarni, A., Hogg, A.C., Bowden, A. Ramsay, Hadonou, A., Coad, B., McIldowie, B., Speight, B., DeSouza, B., Mullaney, B., McKenna, C., Brewer, C., Olimpio, C., Clabby, C., Crosby, C., Jenkins, C., Armstrong, C., Bowles, C., Brooks, C., Byrne, C., Maurer, C., Baralle, D., Chubb, D., Stobo, D., Moore, D., O'Sullivan, D., Donnelly, D., Randhawa, D., Halliday, D., Atkinson, E., Rauter, E., Johnston, E., Maher, E., Sofianopoulou, E., Petrides, E., McRonald, F., Pelz, F., Frayling, I., Corbett, G., Rea, G., Clouston, H., Powell, H., Williamson, H., Carley, H., Thomas, H.J.W., Tomlinson, I., Cook, J., Hoyle, J., Tellez, J., Whitworth, J., Williams, J., Murray, J., Campbell, J., Tolmie, J., Field, J., Mason, J., Burn, J., Bruty, J., Callaway, J., Grant, J., Del Rey Jimenez, J., Pagan, J., VanCampen, J., Barwell, J., Monahan, K., Tatton-Brown, K., Ong, K.R., Murphy, K., Andrews, K., Mokretar, K., Cadoo, K., Smith, K., Baker, K., Brown, K., Reay, K., McKay Bounford, K., Bradshaw, K., Russell, K., Stone, K., Snape, K., Crookes, L., Reed, L., Taggart, L., Yarram, L., Cobbold, L., Walker, L., Walker, L., Hawkes, L., Busby, L., Izatt, L., Kiely, L., Hughes, L., Side, L., Sarkies, L., Greenhalgh, K.-L., Shanmugasundaram, M., Duff, M., Bartlett, M., Watson, M., Owens, M., Bradford, M., Huxley, M., Slean, M., Ryten, M., Smith, M., Ahmed, M., Roberts, N., O'Brien, C., Middleton, O., Tarpey, P., Logan, P., Dean, P., May, P., Brace, P., Tredwell, R., Harrison, R., Hart, R., Kirk, R., Martin, R., Nyanhete, R., Wright, R., Martin, R., Davidson, R., Cleaver, R., Talukdar, S., Butler, S., Sampson, J., Ribeiro, S., Dell, S., Mackenzie, S., Hegarty, S., Albaba, S., McKee, S., Palmer-Smith, S., Heggarty, S., MacParland, S., Greville-Heygate, S., Daniels, S., Prapa, S., Abbs, S., Tennant, S., Hardy, S., MacMahon, S., McVeigh, T., Foo, T., Bedenham, T., Cranston, T., McDevitt, T., Clowes, V., Tripathi, V., McConnell, V., Woodwaer, N., Wallis, Y., Kemp, Z., Mullan, G., Pierson, L., Rainey, L., Joyce, C., Timbs, A., Reuther, A.-M., Frugtniet, B., DeSouza, B., Husher, C., Lawn, C., Corbett, C., Nocera-Jijon, D., Reay, D., Cross, E., Ryan, F., Lindsay, H., Oliver, J., Dring, J., Spiers, J., Harper, J., Ciucias, K., Connolly, L., Tsang, M., Brown, R., Shepherd, S., Begum, S., Daniels, S., Tadiso, T., Linton-Willoughby, T., Heppell, H., Sahan, K., Worrillow, L., Allen, Z., Watt, C., Hegarty, M., Mitchell, R., Coles, R., Nickless, G., Cojocaru, E., Doal, I., Sava, F., McCarthy, C., Jeeneea, R., Goudie, D., McConachie, M., Botosneanu, S., Kavanaugh, G., Russell, K., Sherlaw, C., Tsoulaki, O., Forde, C., Petley, E., Jones, A.-B., Oprych, K., Pryde, S., Hyder, Z., Elkhateeb, N., Braham, R., Hanington, L., Huntley, C., Irving, R., Sadan, A., Ramos, M., Elliot, C., Wren, D., Lobo, D., McLean, J., May, D., Kearney, L., Campbell, T., Asakura, K., Alwadi, L., O’Shea, R., Gabriel, J., Chiecchio, L., Bowman, P., Sutton, L.A., Walsh, C., Cloke, V., Ucanok, D., Davies, J., Pleasance, B., Maguire, E., Whaite, A., Best, S., Westbury, S., Logan, A., Navarajasegaran, D., Bench, A., Wightman, P., Cartwright, A., Higgs, E., J.Bott, Whitehouse, H., Stevens, J., Martin, D., Dunlop, J., Thomas, S., Sau, C., Farndon, S., Coleman, N., Angelini, P., Duff, M., Massey, H., Rowlands, C., Garcia-Petit, C., Gillespie, K., Alder, A., Middleton, E., Cassidy, C., Orfali, N., Webb, A., Luharia, A., Walker, N., Charlton, J., Andreou, A., Peddie, J., Khan, M., Wilkinson, L., Bezuidenhout, H., Edis, M., Callard, A., Ostrowski, P., Moverley, P., Bean, K., Dunne, A., Moleirinho, A., Waller, S., Cox, K., Greensmith, L., Brittle, A., Gossan, N., Freestone, L., Shak, C., Langford, T., Clinch, Y., Livesey, H., Borland, S., Joshi, A., Wall, K., Whitworth, A., Wilsdon, A., Edgerley, K., Pugh, S., Chrysochoidi, N., Mutch, S., McMullan, C., Johnston, Y., Muraru, M., May, A., Begum, R., Smith, C., Patel, R., Bhatnagar, I., Taylor, A., Brown, D., Willan, J., Taylor, S., Jones, K., Cox, K., Ramsden, C., Taiwo, O., Jaudzemaite, J., Sharmin, R., Young, L., O’Dubhshlaine, C., McSorley, L., Rodriguez, I. Abreu, Lillis, S., Alexopoulos, P., Mortensson, E., Kingham, L., Moore, R., Kosicka-Slawinska, M., Aslam, S., Wells, R., Carter, A., Warren, H., Rolf, E., Reed, H., Pearce, L., Lock, D., Ali, F., Kolozi, A., White, N., Wood, D., and Hayden, C.

Abstract

Current practice is to report and manage likely pathogenic/pathogenic variants in a given cancer susceptibility gene as though having equivalent penetrance, despite increasing evidence of intervariant variability in risk associations. Using existing variant interpretation approaches, largely based on full-penetrance models, variants in which reduced penetrance is suspected may be classified inconsistently and/or as variants of uncertain significance. We aimed to develop a national consensus approach for such variants within the Cancer Variant Interpretation Group UK (CanVIG-UK) multidisciplinary network.

Published
2025
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17. The Impact of the COVID-19 Pandemic on Bariatric Surgery: Results from a Worldwide Survey

Author

Lazaridis, I.I. Kraljević, M. Schneider, R. Klasen, J.M. Schizas, D. Peterli, R. Kow, L. Delko, T. Noel, P. Singhal, R. Girodet, M. Soprani, A. Brehant, O. Moszkowicz, D. Coueffe, X. Lanne, J.S. Rosenblum, I. Moldovanu, R. Pflieger, H. Kuperas, C. Martinez Duartez, P. Luyer, M.D.P. Arnalsteen, L. Hazebroek, E.J. Sykora, M. Kennedy, C. Hauswirth, F. Tchanderli-Braham, R. Le Page, S. Boerma, E.-J.G. Chousleb, E. Langenhoff, B. ElFawal, M.H. Paolino, L. Martini, F. Johanet, H. Barthes, T. Halabi, M. Del Prete, M. Fiolo, F.E. Blanchard, C. Bashir, A. Hagen, M. Techagumpuch, A. Dan, S. Catheline, J.-M. Georgeac, C. Lefter, L.P. Lechaux, D. Widmer, J. Kaijser, M.A. Orlowski, M. François, P. Rogers, A.M. Nitu, V. Servajean, S. Fishman, M. Ignat, D.M. Molasoko, J.M. Takkenberg, M. Amal, E. Charara, M. Parmar, C. Brévart, C. Warberg, E.A. Marx, L. Vix, M. for the Collaborators

Abstract

Background: The ongoing “coronavirus disease 19” (COVID-19) pandemic has had a strong effect on the delivery of surgical care worldwide. Elective surgeries have been canceled or delayed in order to reallocate resources to the treatment of COVID-19 patients. Currently, the impact of the COVID-19 pandemic on bariatric and metabolic surgical practice remains unclear. Methods: An internet-based online survey was performed among bariatric surgeons worldwide. The survey was sent to bariatric surgeons via the International Bariatric Club Facebook group and by electronic mail via the International Federation for the Surgery of Obesity and metabolic disorders (IFSO) secretariat to members of the associated national IFSO societies. Results: One hundred sixty-nine (n = 169) bariatric surgeons participated in the survey. The majority of the respondents postponed preoperative upper gastrointestinal tract endoscopies, appointments in the outpatient clinic and bariatric operations. Most surgeons performed video calls for follow-up appointments instead of meeting the patients in the outpatient clinics. Laparoscopy was still the preferred treatment for surgical emergencies, but a trend towards conservative treatment of acute appendicitis and acute cholecystitis was shown. Rapid preoperative COVID-19 testing availability was poor; therefore, routine screening of emergency bariatric cases was not widely provided. A wide variance occurred regarding precautions and personal protection equipment among the participants. Conclusion: The COVID-19 pandemic showed a strong impact on bariatric surgical practice regarding surgical and outpatient planning as well as personnel management. Coordinated effort from the national bariatric societies should focus on strict implementation of the current recommendations regarding precaution measures and personal protection equipment. Further studies should evaluate how this impact will evolve in the near future. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Published
2020

28. Online Machine Learning Audiometry

Author

Nikki Metzger, Jeff Y. Chen, James C. DiLorenzo, Eleanor A. Degen, Kiron A. Sukesan, Jenna M. Buchbinder, Katherine Heisey, Braham R D Snyder, Rebecca T Howard, Dennis L. Barbour, and Xinyu D. Song

Subjects
Adult, Male, Computer science, Speech recognition, Audiologist, 01 natural sciences, Severity of Illness Index, Article, Machine Learning, 03 medical and health sciences, Speech and Hearing, Young Adult, 0302 clinical medicine, Psychometric function, Bone conduction, 0103 physical sciences, medicine, Humans, 030223 otorhinolaryngology, Hearing Loss, 010301 acoustics, Aged, Internet, Absolute threshold of hearing, medicine.diagnostic_test, Online machine learning, Estimator, Reproducibility of Results, Audiogram, Middle Aged, Otorhinolaryngology, Audiometry, Pure-Tone, Female, Audiometry
Abstract

Objectives A confluence of recent developments in cloud computing, real-time web audio and machine learning psychometric function estimation has made wide dissemination of sophisticated turn-key audiometric assessments possible. The authors have combined these capabilities into an online (i.e., web-based) pure-tone audiogram estimator intended to empower researchers and clinicians with advanced hearing tests without the need for custom programming or special hardware. The objective of this study was to assess the accuracy and reliability of this new online machine learning audiogram method relative to a commonly used hearing threshold estimation technique also implemented online for the first time in the same platform. Design The authors performed air conduction pure-tone audiometry on 21 participants between the ages of 19 and 79 years (mean 41, SD 21) exhibiting a wide range of hearing abilities. For each ear, two repetitions of online machine learning audiogram estimation and two repetitions of online modified Hughson-Westlake ascending-descending audiogram estimation were acquired by an audiologist using the online software tools. The estimated hearing thresholds of these two techniques were compared at standard audiogram frequencies (i.e., 0.25, 0.5, 1, 2, 4, 8 kHz). Results The two threshold estimation methods delivered very similar threshold estimates at standard audiogram frequencies. Specifically, the mean absolute difference between threshold estimates was 3.24 ± 5.15 dB. The mean absolute differences between repeated measurements of the online machine learning procedure and between repeated measurements of the Hughson-Westlake procedure were 2.85 ± 6.57 dB and 1.88 ± 3.56 dB, respectively. The machine learning method generated estimates of both threshold and spread (i.e., the inverse of psychometric slope) continuously across the entire frequency range tested from fewer samples on average than the modified Hughson-Westlake procedure required to estimate six discrete thresholds. Conclusions Online machine learning audiogram estimation in its current form provides all the information of conventional threshold audiometry with similar accuracy and reliability in less time. More importantly, however, this method provides additional audiogram details not provided by other methods. This standardized platform can be readily extended to bone conduction, masking, spectrotemporal modulation, speech perception, etc., unifying audiometric testing into a single comprehensive procedure efficient enough to become part of the standard audiologic workup.

Published
2018

29. Online Machine Learning Audiometry

Author

Barbour, Dennis L., primary, Howard, Rebecca T., additional, Song, Xinyu D., additional, Metzger, Nikki, additional, Sukesan, Kiron A., additional, DiLorenzo, James C., additional, Snyder, Braham R. D., additional, Chen, Jeff Y., additional, Degen, Eleanor A., additional, Buchbinder, Jenna M., additional, and Heisey, Katherine L., additional

Published
2018
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38. Cloud and Weather Modification

Author

Petterssen, S., primary, Spar, J., additional, Hall, F., additional, Braham, R. R., additional, Battan, L. J., additional, Byers, H. R., additional, aufm Kampe, H. J., additional, Kelly, J. J., additional, and Weickmann, H. K., additional

Published
1957
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39. Tumours in white suckers from Lake Michigan tributaries: pathology and prevalence.

Author

Blazer, V S, Walsh, H L, Braham, R P, Hahn, C M, Mazik, P, and McIntyre, P B

Subjects
WHITE sucker, FISH disease epidemiology, TUMORS in animals, SQUAMOUS cell carcinoma, DISEASE prevalence, DIAGNOSIS
Abstract

The prevalence and histopathology of neoplastic lesions were assessed in white sucker Catostomus commersonii captured at two Lake Michigan Areas of Concern ( AOCs), the Sheboygan River and Milwaukee Estuary. Findings were compared to those observed at two non- AOC sites, the Root and Kewaunee rivers. At each site, approximately 200 adult suckers were collected during their spawning migration. Raised skin lesions were observed at all sites and included discrete white spots, mucoid plaques on the body surface and fins and large papillomatous lesions on lips and body. Microscopically, hyperplasia, papilloma and squamous cell carcinoma were documented. Liver neoplasms were also observed at all sites and included both hepatocellular and biliary tumours. Based on land use, the Kewaunee River was the site least impacted by human activities previously associated with fish tumours and had significantly fewer liver neoplasms when compared to the other sites. The proportion of white suckers with liver tumours followed the same patterns as the proportion of urban land use in the watershed: the Milwaukee Estuary had the highest prevalence, followed by the Root, Sheboygan and Kewaunee rivers. The overall skin neoplasm (papilloma and carcinoma) prevalence did not follow the same pattern, although the percentage of white suckers with squamous cell carcinoma exhibited a similar relationship to land use. Testicular tumours (seminoma) were observed at both AOC sites but not at the non- AOC sites. Both skin and liver tumours were significantly and positively associated with age but not sex. [ABSTRACT FROM AUTHOR]

Published
2017
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40. The reliability of team-based primary data collectors for the collection of exposure and protective equipment use data in community sport

Author

Braham, R. A. and Finch, C. F.

Subjects
Victoria, Data Collection, education, Athletic Injuries, Soccer, Short Report, Humans, Mouth Protectors, Reproducibility of Results, Head Protective Devices, human activities
Abstract

Reliable data allows for the generalisation of study findings to the wider population. The aim of this study was to assess the reliability of using community team based primary data collectors for the collection of exposure and protective equipment use data.Nine clubs (23 teams) from a metropolitan Australian Football league in Victoria each provided one primary data collector to monitor exposure and protective equipment use over a regular playing season. Four random audits of this data collection for each team were conducted throughout the regular playing season. The audits were compared with data collected by the club data collectors and the level of agreement assessed.Although exposure data agreement was higher during competition and protective equipment use agreement higher during training, there was no significant difference in data collected by the primary data collectors and the random audits.The use of trained data collectors associated with Australian Football teams provides reliable information about player exposure and protective equipment use in community intervention studies.

Published
2004

42. New-Generation Active Videogaming Maintains Energy Expenditure in Children Across Repeated Bouts

Author

Rosenberg, M., Lay, B., Lee, M., Derbyshire, A., Kur, J., Ferguson, R., Maitland, C., Mills, A., Davies, C., Pratt, Steve, Braham, R., Rosenberg, M., Lay, B., Lee, M., Derbyshire, A., Kur, J., Ferguson, R., Maitland, C., Mills, A., Davies, C., Pratt, Steve, and Braham, R.

Abstract

© Copyright 2013, Mary Ann Liebert, Inc. 2013.Objective: Active videogames (AVGs) remain popular among 10-15-year-old children. The Xbox 360 Kinect™ from Microsoft (Redmond, WA) represents a new generation of AVGs where body movements are used to control gameplay. The purpose of this study was to measure energy expenditure required to play repeated bouts of six Microsoft Xbox 360 Kinect games ("Motion Sports Adrenaline™," "Sonic Free Riders™," "Virtua Tennis 4™," "Kinect Sports™," "Kinect Adventures™," and "Just Dance 3™"). Subjects and Methods: Forty-seven children (between 10 and 15 years) participated in a repeated-measures experiment, completing five 1-hour sessions (one familiarization and four separate gaming sessions). Three different AVGs were played for 15 minutes during each gaming session in a counterbalanced order. An Actiheart (CamNtech Ltd., Cambridge, United Kingdom) was used to monitor heart rate and acceleration during gameplay. Results: Average energy expended across the six AVGs during 15 minutes of gameplay was 3.0±0.17 metabolic equivalents/minute, significantly higher than resting energy expenditure (P<0.01). Similar levels of energy expenditure were observed between the first and fourth gaming session for all six games, although the energy expenditure between each game over the four sessions was similar. Boys expended more energy than girls within each AVG and across the four gaming sessions. Conclusions: The Microsoft Xbox 360 Kinect games in this study were found to elicit moderate-intensity exercise over four gaming sessions, with no decay in energy expenditure over several gaming sessions. Although small differences in the energy expenditure between the six Microsoft Xbox Kinect games were found, they are all likely to contribute toward reduced sitting time in children.

Published
2013

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