Table 2

Results and characteristics of the identified articles on dual careers and women in sport (N=19).

Bibliographic Code and ReferenceParticipantsDC (studies/work)ContextType of studyMethod of data collectionTheme
1. Bergström et al. (2022)1 retired skier
Age: NA
StudiesNorwayMixed– Semi-structured interview
– Training diaries
– Rankings
– Syllabus data
– DC management
– Sporting and non-sporting transitions
– Barriers and Resources
– Parallel trajectory
2. Frederickson (2022)13 athletes; 
Football, basketball, lacrosse, volleyball, softball, hockey, gymnastics and athletics
Ages: 22-34
StudiesUnited StatesQualitative– Semi-structured interview– DC Management and DC Perception 
– Transition to university
– Barriers and Resources
– Parallel trajectory
3. McGreary et al. (2021)6 football players
Age: 18-26
StudiesUnited KingdomQualitative– Semi-structured interview– DC Management and DC Perception 
– Transition from junior to senior
– Transition to university
– Barriers
– Coping strategies
– Convergent trajectory
4. Pankow et al. (2021)6 athletes; Cross-country, rugby and athletics
Ages: 18-22
StudiesCanadaQualitative longitudinal– Semi-structured interview
– Diaries
– Mental Health
– DC management
– Convergent trajectory
5. Harrison et al. (2020)11 football players
Age: 16-22
Studies and WorkUnited KingdomQualitative– Semi-structured interview– Future planning
– Transition to university
– DC Perception
– CAPs
– Barriers
– Parallel and divergent trajectory
6. Kavoura & Ryba (2020)6 judokas
Age: 20-27
StudiesFinlandQualitative– Semi-structured interview– DC management
– Future planning
– Identity
– Parallel and convergent trajectory
7. Perez-Rivases et al. (2020)
72 athletes; 
Sports: NA
Age: mean 17
StudiesSpainQualitative
– DCCQ-A29
– DC Competences and Management
– CAPs
– Parallel trajectory
8. Ronkainen et al. (2020)
10 athletes
Sports: NA
Age: 19-22
Studies
FinlandQualitative
– In-depth interviews– DC Management and DC Perception 
– Perfectionism
– Parallel and divergent trajectory
9. Slaten et al. (2020)
14 athletes
Football and Hockey
Age: 18-23
Studies
United StatesQualitative
– Semi-structured interview– DC Management and DC Perception
– CAPs
– Transition to university
– Sports identity
– Parallel trajectory
10. Cooper & Jackson (2019)
4 athletes
Sports: Olympians
Age: NA
Studies
United StatesQualitative
– Individual interviews
– Focus Group Interview
– Demographic questionnaire
– DC Management and DC Perception 
– Identity and roles
– Resources and Careers
– Convergent and parallel trajectory
11. Andersson & Barker-Ruchti (2018)
7 football players
Age: Over 22
Studies and WorkSwedenQualitative
– Semi-structured interview
– Bibliographic mapping
– DC management
– Career paths
– Transition from junior to senior
– Convergent trajectory
12. Kristiansen & Stensrud (2017)
6 female handball players
Age: 13-14
Studies
NorwayQualitative
– Semi-structured interview
– Physical tests
– DC management
– Sporting and non-sporting transitions
– Puberty
– Parallel trajectory
13. Perez-Rivases et al. (2017a)
3 athletes
Waterpolo and Swimming
Age: 18
Studies
SpainQualitative
– Semi-structured interview– Transition to university
– Parallel trajectory
14. Madsen & McGarry (2016)
13 athletes
Football, basketball, volleyball, rowing, lacrosse, field and ice hockey, athletics and tennis 
Age: NA
StudiesUnited StatesQualitative
– Focus Group
– Semi-structured interview
– DC Perception 
– Future planning
– Gender roles
– Parallel trajectory
15. Gledhill & Harwood (2015)
13 retired football players
Age: mean 19
Studies
United KingdomQualitative
– Semi-structured interview– DC Perception
– Holistic perspective
– DC management
– Parallel and divergent trajectory
16. Han et al. (2015)
13 athletes
Age: 15-17
Studies
South KoreaQualitative
– Semi-structured interview– DC Identity
– Gender roles
– Barriers
– DC management
– Parallel trajectory
17. Falls & Wilson (2013)
12 football players
Age: 23-30
StudiesUnited StatesQualitative
– Oral History Interview– Sporting and non-sporting transitions
– Transition to university 
– Identity
– Parallel trajectory
18. Selva et al. (2013)
23 active and retired sportswomen
Sports: Olympians and non-Olympians.
Age: 18-39
Studies and WorkSpain
Qualitative
– Semi-structured interview– DC management
– Barriers and Resources 
– Linear, parallel and convergent trajectories
– Retired
19. Debois et al. (2012)
1 retired fencer
Age: NA
Studies and WorkFranceQualitative
– In-depth interview
– Notes from advisory and follow-up interviews
– Sporting and non-sporting transitions
– Transition from junior to senior
– Retired
– Convergent and parallel trajectory
Note: abbreviations used Table 2  DC: Dual Career; CAPs: Career Assistance Programmes; DCCQ-A: Dual Career Competency Questionnaire for Athletes; NA: Not Available.