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Margaret C. Morrissey, Michael R. Szymanski, Andrew J. Grundstein, and Douglas J. Casa

strategies related to enhanced fitness, HA, and work-to-rest ratios based on environmental conditions, as three examples, have been shown to be very effective in enhancing exercise heat tolerance. Table 1 Risk Factors for Exertional Heat Stroke Predisposing factor Intrinsic Extrinsic Modifiable

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Elena M. D’Argenio, Timothy G. Eckard, Barnett S. Frank, William E. Prentice, and Darin A. Padua

of subsequent ACL injury 5 and may have increased risk for knee osteoarthritis in later life. 6 The increased incidence of ACL injuries among women’s soccer athletes in recent years 7 has intensified interest in the identification of modifiable risk factors for ACL injury. Myriad risk factors for

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João Breno Ribeiro-Alvares, Maurício Pinto Dornelles, Carolina Gassen Fritsch, Felipe Xavier de Lima-e-Silva, Thales Menezes Medeiros, Lucas Severo-Silveira, Vanessa Bernardes Marques, and Bruno Manfredini Baroni

. Previous HSIs and advanced age are accepted as the main nonmodifiable risk factors, 6 , 7 while prospective studies have found a higher incidence of HSIs in football players with poor flexibility, 8 , 9 low muscle strength, 10 – 12 short muscle fascicles, 12 and deficits in central stabilization (ie

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Philippa J.A. Nicolson, Maria T. Sanchez-Santos, Julie Bruce, Shona Kirtley, Lesley Ward, Esther Williamson, and Sarah E. Lamb

unreflective of a real-world situation. Potential risk factors for mobility decline may also be measured objectively or by self-report. Self-reported measures of these factors are also important, as they have low response burden, can capture both current and historical information, and can assess psychological

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Takao Mise, Yosuke Mitomi, Saki Mouri, Hiroki Takayama, Yoshitomo Inoue, Mamoru Inoue, Hiroshi Akuzawa, and Koji Kaneoka

Shoulder pain is the most common musculoskeletal problem in young swimmers. The incidence of this condition ranges from approximately 40% to 90%, and overuse syndrome is related to shoulder pain in overhead sports. 1 , 2 Previous studies identified the risk factors for shoulder pain, which

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Peter T. Katzmarzyk and Amanda E. Staiano

guidelines scored better on several health indicators than those meeting fewer components of the guidelines. 8 The purpose of this study was to determine the association between meeting the 24-hour movement guidelines and cardiometabolic risk factors in white and African American children and adolescents

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Jérôme Vaulerin, Frédéric Chorin, Mélanie Emile, Fabienne d’Arripe-Longueville, and Serge S. Colson

, aerobic and resistance training sessions, etc) may also lead to injuries. 1 , 4 – 6 Among these injuries, musculoskeletal harm, such as sprains and strains, were often reported with an important occurrence of ankle sprains. 1 , 6 However, the risk factors that are associated with ankle sprains in

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Siobhán O’Connor, Noel McCaffrey, Enda F. Whyte, Michael Fop, Brendan Murphy, and Kieran A. Moran

reported. 2 Poor hamstring flexibility has been proposed as a potential risk factor for sustaining a hamstring strain. 7 Sprinting is proposed to be a common mechanism of hamstring injury in field sports such as Gaelic games. 3 The hamstrings experience high loading when they are in a maximal or

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Guangxing Wang, Sixuan Wu, Kelly R. Evenson, Ilsuk Kang, Michael J. LaMonte, John Bellettiere, I-Min Lee, Annie Green Howard, Andrea Z. LaCroix, and Chongzhi Di

calibrated AAI to investigate associations of SB and PA measures with cardiometabolic risk factors. To investigate simultaneous associations of multiple intensity categories, we also adopted isotemporal models to quantify the potential substitutional effects of reallocating time between two activity

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Olga J.E. Kilkens, Britt A.J. Gijtenbeek, Jos W.R. Twisk, Willem van Mechelen, and Han C.G. Kemper

The purpose of this study was (a) to investigate whether lifestyle risk factors cluster and (b) to investigate the influence of this clustering on biological CVD risk factors. This study was part of the Amsterdam Growth and Health Study (AGHS), an observational longitudinal study in which 6 repeated measurements were carried out on 181 13-year-old subjects over a period of 15 years. A longitudinal analysis (carried out with generalized estimating equations) showed no significant clustering of lifestyle risk factors at the population level. For each subject at each separate measurement period, lifestyle risk factors were summed to form a cluster score. A longitudinal linear regression analysis showed no significant relationship between the cluster score and biological CVD risk factors, except for a significant inverse relationship with cardiopulmonary fitness. In general, however, the results did not support the assumption that clustering of unhealthy lifestyle is related to biological CVD risk factors.