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Basketball is ranked in the top three team sports for participation in the Americas, Australia, Europe, Southeast Asia, and Western Pacific nations, making it one of the most popular team sports worldwide [1]. The physical demands and high popularity of basketball present a wide range of potential applications in society. At one end, basketball may offer a vehicle to combat high inactivity rates and reduce economic health burdens for government officials and health administrators in many countries due to the popularity of the game combined with the evidence supporting recreational basketball eliciting intense physical demands with low perceptual demand [2]. At the other end, professional basketball competitions have emerged in over 100 countries with more than 70,000 professional players globally [3], creating a lucrative business that provides legitimate career pathways for players and entertainment for billions of people. Despite the wide range in application, it is surprising how little research has been conducted in basketball relative to other sports. For instance, a rudimentary search on PubMed showed basketball to yield considerably less returns than other sports with a similar global reach and comparable returns to sports governed in less regions of the world ( Table 1 ). Consequently, we sought to edit a Special Issue on “Improving Practice and Performance in Basketball” to provide a collection of studies from basketball researchers across the world and increase available evidence on pertinent topics in the sport. In total, 40 researchers from 16 institutions or professional bodies across nine countries contributed 10 studies in the Special Issue.
Returns on Scopus for basketball relative to other sports.
| Search Term (Sport) | Number of Returns | Number of Countries Played in * |
|---|---|---|
| Soccer | 4176 | 211 |
| Tennis | 2188 | 211 |
| Basketball | 1427 | 213 |
| Baseball OR Softball | 1250 | 141 |
| “American football” OR NFL | 1150 | 104 |
| Hockey | 993 | 137 † |
| Cricket | 940 | 104 |
| “Rugby union” OR “Rugby sevens” OR “Rugby league” | 808 | 119 ‡ |
Note: Search conducted on August 9th 2019 via https://www.ncbi.nlm.nih.gov/pubmed/ and was restricted to past five years. * The number of countries identified as members by the international governing body; † field hockey included 137 member countries, while ice hockey included 76 member countries; ‡ rugby union included 119 member countries, while rugby league included 68 member countries.
Most research conducted in basketball has focused on athletic populations. For instance, a review of the 228 studies returned on PubMed for “basketball” in 2019 (up to August 9th) indicates over 25% of studies focused on the incidence, treatment, rehabilitation, or screening of injuries, while 11% of studies described physical, fitness, or functional attributes in competitive basketball players. These trends emphasize the strong interest in understanding injury prevention and treatment in basketball, as well as attributes which may underpin successful players, both of which are oriented towards optimizing player and team performance. Regarding enhancing performance, an increasingly popular field of research in basketball is examining monitoring methods (7% of PubMed studies in 2019) to better understand demands placed on players across the season and provide evidence for decision-making regarding player management. Several reviews have recently been published highlighting the interest in quantifying game [4] and training demands [5], using heart rate monitoring [6], and applying microsensors to measure player workloads [7] in competitive basketball. Available monitoring technologies provide basketball coaches and high-performance staff with a plethora of data regarding player fitness, workloads, and fatigue status to inform decisions regarding training prescription and recovery opportunities for minimizing injury risk and optimizing performance. In turn, basketball research has readily used game-related statistics (3% of PubMed studies in 2019) to describe player and team performance, which provide an expansive reservoir of data, usually publicly available, to link outcomes of interest to performance. Consequently, our Special Issue was open to research exploring various current topics that have potential to impact practice in basketball.
In keeping with the recent trends in basketball research, the Special Issue contains two reviews with one focused on exploring the utility of various monitoring strategies to detect player fatigue [8] and the other identifying issues to consider around the extensive travelling requirements in the National Basketball Association (NBA), the premier global basketball competition [9]. Both reviews highlight the practical aspects relating fatigue and travel in basketball, including potential implications for injury, workload management, recovery, and assessment in players. Furthermore, two applied studies in the Special Issue examine workload monitoring in basketball, with one exploring the impact of game scheduling on accelerometer-derived workload [10] and the other examining changes in jump kinetics and perceptual workload across the season [11]. An additional three studies in the Special Issue identified game-related statistics explaining game outcomes and regional differences in various elite competitions (Olympics [12], EuroBasket [13], and Continental Championships [14]). The remaining three studies described physical [15,16] and skill [17] attributes in various player samples. It should also be noted our Special Issue addresses an important issue of increasing research in female athletes, who have traditionally been under-represented in the literature compared to male basketball players, with seven of the eight original studies (88%) containing female basketball players.
The immediate future of basketball research in high-performance settings is highlighted by issues faced in practice. Specifically, key players are missing games or being rested for “load management” in the NBA to reduce player injury risk, despite some initial evidence suggesting greater rest during the regular season (6 ± 1 vs 1 ± 1 games) does not reduce injury incidence or performance in the playoffs [18]. Likewise, condensed game schedules [19] and the total minutes played in individual games [20] have been shown to have no significant effects on injury risk in NBA players. In contrast, other research suggests the total number of games played in a season impacts injury risk in the NBA [21], highlighting the need for further research on this topic to gather a definitive understanding regarding the effects of managing player workloads on injury risk. In fact, more research needs to build upon the extensive descriptive evidence already available and identify modifiable factors contributing to injuries in basketball players for coaches and high-performance staff to control risk as much as possible. In addition to injury, future basketball research should seek to further examine the efficacy of logical and practical intervention strategies on player performance. For example, an increasing number of studies are examining the utility of different training approaches, including resistance training [22], court-based conditioning [23], and games-based drills [5], as well as nutritional strategies [24,25,26,27] and recovery practices [28] on performance outcomes. Furthermore, it is integral for future research assessing player performance to use basketball-specific assessments. In this regard, more research is recognizing the need for greater specificity in measuring performance in basketball, with an increased number of studies exploring the utility of basketball-specific testing protocols to assess relevant physical attributes [29,30,31,32] as well as in-game statistics [33] and workloads [34] to quantify player performance in a robust manner with increased application to actual competition.
The authors declare no conflict of interest.
1. Hulteen R., Smith J., Morgan P., Barnett L., Hallal P., Colyvas K., Lubans D. Global participation in sport and leisure-time physical activities: A systematic review and meta-analysis. Prev. Med. 2017; 95 :14–25. doi: 10.1016/j.ypmed.2016.11.027. [PubMed] [CrossRef] [Google Scholar]
2. Stojanovic E., Stojiljkovic N., Stankovic R., Scanlan A., Dalbo V., Milanovic Z. Recreational basketball small-sided games elicit high-intensity exercise with low perceptual demand. J. Strength Cond. Res. 2019 doi: 10.1519/JSC.0000000000003306. in press. [PubMed] [CrossRef] [Google Scholar]
3. Basketball Leagues Around the World. [(accessed on 9 August 2019)]; Available online: https://jazzteamstore.com/blog/basketball-leagues-around-the-world/
4. Stojanović E., Stojiljkovic N., Scanlan A., Dalob V., Berkelmans D., Milanovic Z. The activity demands and physiological responses encountered during basketball match-play: A systematic review. Sports Med. 2018; 48 :111–135. doi: 10.1007/s40279-017-0794-z. [PubMed] [CrossRef] [Google Scholar]
5. Clemente F. Small-sided and conditioned games in basketball training: A review. Strength Cond. J. 2016; 38 :49–58. doi: 10.1519/SSC.0000000000000225. [CrossRef] [Google Scholar]
6. Berkelmans D., Dalbo V., Kean C., Milanovic Z., Stojanovic E., Stojiljkovic N., Scanlan A. Heart rate monitoring in basketball: Applications, player responses, and practical recommendations. J. Strength Cond. Res. 2018; 32 :2383–2399. doi: 10.1519/JSC.0000000000002194. [PubMed] [CrossRef] [Google Scholar]
7. Fox J., Scanlan A., Stanton R. A review of player monitoring approaches in basketball: Current trends and future directions. J. Strength Cond. Res. 2017; 31 :2021–2029. doi: 10.1519/JSC.0000000000001964. [PubMed] [CrossRef] [Google Scholar]
8. Edwards T., Spiteri T., Piggott B., Bonhotal J., Haff G., Joyce C. Monitoring and managing fatigue in basketball. Sports. 2018; 6 :19. doi: 10.3390/sports6010019. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
9. Huyghe T., Scanlan A., Dalbo V., Calleja-Gonzalez J. The negative influence of air travel on health and performance in the National Basketball Association: A narrative review. Sports. 2018; 6 :89. doi: 10.3390/sports6030089. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
10. Staunton C., Wundersitz D., Gordon B., Cutovic E., Stanger J., Kingsley M. The effect of match schedule on accelerometry-derived exercise dose during training sessions throughout a competitive basketball season. Sports. 2018; 6 :69. doi: 10.3390/sports6030069. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
11. Legg J., Pyne D., Semple S., Ball N. Variability of jump kinetics related to training load in elite female basketball. Sports. 2017; 5 :85. doi: 10.3390/sports5040085. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
12. Leicht A., Gomez M., Woods C. Team performance indicators explain outcome during women’s basketball matches at the Olympic games. Sports. 2017; 5 :96. doi: 10.3390/sports5040096. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
13. Conte D., Lukonaitiene I. Scoring strategies differentiating between winning and losing teams during FIBA EuroBasket women. Sports. 2017; 6 :50. doi: 10.3390/sports6020050. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
14. Madarame H. Regional differences in women’s basketball: A comparison among Continental Championships. Sports. 2018; 6 :65. doi: 10.3390/sports6030065. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
15. Gryko K., Kopiczko A., Mikolajec K., Stasny P., Musalek M. Anthropometric variables and somatotype of young and professional male basketball players. Sports. 2018; 6 :9. doi: 10.3390/sports6010009. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
16. Fields J., Merrigan J., White J., Jones M. Seasonal and longitudinal changes in body composition by sport-position in NCAA Division I basketball athletes. Sports. 2018; 6 :85. doi: 10.3390/sports6030085. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
17. Policastro F., Accardo A., Marcovich R., Pelamatti G., Zoia S. Relation between motor and cognitive skills in Italian basketball players aged between 7 and 10 years old. Sports. 2018; 6 :80. doi: 10.3390/sports6030080. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
18. Belk J., Marshall H., McCarty E., Kraeutler M. The effect of regular-season rest on playoff performance among players in the National Basketball Association. Orthop. J. Sports Med. 2017; 5 :2325967117729798. doi: 10.1177/2325967117729798. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
19. Teramoto M., Cross C., Cushman D., Maak T., Petron D., Willick S. Game injuries in relation to game schedules in the National Basketball Association. J. Sci. Med. Sport. 2017; 20 :230–235. doi: 10.1016/j.jsams.2016.08.020. [PubMed] [CrossRef] [Google Scholar]
20. Okoroha K., Marfo K., Meta F., Matar R., Shehab R., Thompson T., Moutzouros V., Makhni E. Amount of minutes played does not contribute to anterior cruciate ligament injury in National Basketball Association athletes. Orthopedics. 2017; 4 :e658–e662. doi: 10.3928/01477447-20170503-04. [PubMed] [CrossRef] [Google Scholar]
21. Talukder H., Vincent T., Foster G., Hu C., Huerta J., Kumar A., Malazarte M., Saldana D., Simpson S. Preventing in-Game Injuries for NBA Players. MIT Sloan Sports Analytics Conference; Boston, MA, USA: 2016. p. 1590. [Google Scholar]
22. Freitas T., Calleja-Gonzalez J., Carlos-Vivas J., Marin-Cascales E., Alcaraz P. Short-term optimal load training vs a modified complex training in semi-professional basketball players. J. Sports Sci. 2019; 37 :434–442. doi: 10.1080/02640414.2018.1504618. [PubMed] [CrossRef] [Google Scholar]
23. Pliauga V., Lukonaitiene I., Kamandulis S., Skurvydas A., Sakalauskas R., Scanlan A., Stanislovaitiene J., Conte D. The effect of block and traditional periodization training models on jump and sprint performance in collegiate basketball players. Biol. Sport. 2018; 35 :373–382. doi: 10.5114/biolsport.2018.78058. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
24. Afman G., Garside R., Dinan N., Gant N., Gant N., Betts J., Williams C. Effect of carbohydrate or sodium bicarbonate ingestion on performance during a validated basketball simulation test. Int. J. Sport Nutr. Exerc. Metab. 2014; 24 :632–644. doi: 10.1123/ijsnem.2013-0168. [PubMed] [CrossRef] [Google Scholar]
25. Delextrat A., Mackessy S., Arceo-Rendon L., Scanlan A., Ramsbottom R., Calleja-Gonzalez J. Effects of three-day serial sodium bicarbonate loading on performance and physiological parameters during a simulated basketball test in female university players. Int. J. Sport Nutr. Exerc. Metab. 2018; 25 :547–552. doi: 10.1123/ijsnem.2017-0353. [PubMed] [CrossRef] [Google Scholar]
26. Scanlan A., Dalbo V., Conte D., Stojanovic E., Stojiljkovic N., Stankovic R., Antic V., Milanovic Z. Caffeine supplementation has no effect on dribbling speed in elite basketball players. Int. J. Sports Physiol. Perform. 2019; 14 :997–1000. doi: 10.1123/ijspp.2018-0871. [PubMed] [CrossRef] [Google Scholar]
27. Stojanovic E., Stojiljkovic N., Scanlan A., Dalbo V., Stankovic R., Antic V., Milanovic Z. Acute caffeine supplementation promotes small to moderate improvements in performance tests indicative of in-game success in professional female basketball players. Appl. Physiol. Nutr. Metab. 2019; 44 :849–856. doi: 10.1139/apnm-2018-0671. [PubMed] [CrossRef] [Google Scholar]
28. Delextrat A., Hippocrate A., Leddington-Wright S., Clarke N. Including stretches to a massage routine improves recovery from official matches in basketball players. J. Strength Cond. Res. 2014; 28 :716–727. doi: 10.1519/JSC.0b013e3182aa5e7c. [PubMed] [CrossRef] [Google Scholar]
29. Scanlan A., Wen N., Pyne D., Stojanovic E., Milanovic Z., Conte D., Vaquera A., Dalbo V. Power-related determinants of Modified Agility T-test Performance in male adolescent basketball players. J. Strength Cond. Res. 2019 doi: 10.1519/JSC.0000000000003131. in press. [PubMed] [CrossRef] [Google Scholar]
30. Boddington B., Cripss A., Scanlan A., Spiteri T. The validity and reliability of the Basketball Jump Shooting Accuracy Test. J. Sports Sci. 2019; 37 :1648–1654. doi: 10.1080/02640414.2019.1582138. [PubMed] [CrossRef] [Google Scholar]
31. Wen N., Dalbo V., Burgos B., Pyne D., Scanlan A. Power testing in basketball: Current practice and future recommendations. J. Strength Cond. Res. 2018; 32 :2677–2691. doi: 10.1519/JSC.0000000000002459. [PubMed] [CrossRef] [Google Scholar]
32. Scanlan A., Fox J., Borges N., Delextrat A., Spiteri T., Dalbo V., Stanton R., Kean C. Decrements in knee extensor and flexor strength are associated with performance fatigue during simulated basketball game-play in adolescent, male players. J. Sports Sci. 2018; 36 :852–860. doi: 10.1080/02640414.2017.1344779. [PubMed] [CrossRef] [Google Scholar]
33. Staunton C., Gordon B., Custovic E., Stanger J., Kingsley M. Sleep patterns and match performance in elite Australian basketball athletes. J. Sci. Med. Sport. 2017; 20 :786–789. doi: 10.1016/j.jsams.2016.11.016. [PubMed] [CrossRef] [Google Scholar]
34. Fox J., Stanton R., Scanlan A. A comparison of training and competition demands in semiprofessional male basketball players. Res. Q. Exerc. Sport. 2018; 89 :103–111. doi: 10.1080/02701367.2017.1410693. [PubMed] [CrossRef] [Google Scholar]
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