Big data analysis in healthcare research seems to be a necessary strategy for the convergence of sports science and technology in the era of the Fourth Industrial Revolution. The purpose of this study is to provide the basic review to secure the diversity of big data and healthcare convergence by discussing the concept, analysis method, and application examples of big data and by exploring the application. Text mining, data mining, opinion mining, process mining, cluster analysis, and social network analysis is currently used. Identifying high-risk factor for a certain condition, determining specific health determinants for diseases, monitoring bio signals, predicting diseases, providing training and treatments, and analyzing healthcare measurements would be possible via big data analysis. As a further work, the big data characteristics provide very appropriate basis to use promising software platforms for development of applications that can handle big data in healthcare and even more in sports science.

Recently, osteosarcopenic obesity (OSO) has been identified and notified world wide. Therefore, this study reviewed OSO related to lifestyle factors such as nutritional intake and exercise. Due to aging, OSO may be initiated by dietary factors and obesity related factors. Reduced muscle mass and increased fat mass may negatively impact bone health causing OSO. The complication of OSO development should be related to dietary imbalance combined with declined exercise and this may contribute to induce OSO by decreasing bone mass, muscle mass, and increasing obesity with aging. To prevent OSO, reaching peak bone mass and building optimal muscle and fat mass through exercise would be recommended. For treating OSO, balanced dietary intake and regular exercise through a whole life would be needed. In addition, sufficient carbohydrate and fat intake for minimizing protein catabolism would be recommended to prevent OSO. The combination of aerobic exercise and resistance training also would be an effective intervention for OSO population.

Various studies related to therapeutic horseback riding have been reported to be positive for the therapeutic effect of patients with cerebral palsy; however, most of the previous studies focused on to muscle development with training period related to the physical effects of therapeutic horseback riding. To identify the causes and phenomena of muscular activation of the body through actual therapeutic horseback riding exercise and to promote the excellence of physical effects of therapeutic horseback riding. This study was a nonrandomized prospective positive-controlled trial design. Twelve teenaged males with cerebral palsy were selected who had experienced riding exercise for 8-12 months. This study measured 8 muscle activities of the pectoralis major muscle (PM), biceps brachii (BB), rectus abdominis muscle (RA), latissimus dorsi muscle (LD), spinal erector muscle (SE), rectus femoris muscle (RF), anterior tibial muscle (AT), and external gastrocnemius muscle (EG) by using electromyography (EMG). Muscle activity was significantly higher in horse riding position than sitting on the common chair in all muscles (PM, BB, RA, LD, SE, RF, AT, and EG). The activity of the body muscles according to the difference of horse walking method (walk: WA; sitting trot: ST; and riding trot: RT) of therapeutic horse riding showed the highest muscle activity in the PM muscle at ST, and the highest activity at BB, RA, LD, SE, and AT muscles at ST and RT, and showed the highest muscle activity in RF and EG muscle at RT. The results of this study suggest that intervention for the treatment of cerebral palsy patients can use therapeutic riding exercise as a rehabilitation method.