Skip to main content
Top
Published in: BMC Public Health 1/2017

Open Access 01-12-2017 | Research article

Variations in adolescents’ motivational characteristics across gender and physical activity patterns: A latent class analysis approach

Authors: Margaret Lawler, Caroline Heary, Elizabeth Nixon

Published in: BMC Public Health | Issue 1/2017

Login to get access

Abstract

Background

Neglecting to take account of the underlying context or type of physical activity (PA) that underpins overall involvement has resulted in a limited understanding of adolescents’ PA participation. The purpose of the present research was to identify male and female adolescents’ leisure time PA patterns and examine whether psychological processes derived from self-determination theory differ as a function of the pattern of PA undertaken.

Methods

Nine hundred ninety-five students (61.2% females, 38.8% males; M age = 13.72 years, SD = 1.25) from eight secondary schools in Dublin, Ireland completed a physical activity recall 7 day diary and measures of intrinsic motivation, competence, relatedness, autonomy and autonomy support. Based on the diary five binary indicators of physical activity were derived reflecting recommended levels of MVPA on a minimum of 3 days, at least three sessions of non-organized physical activity (e.g. jog), team sport, individual sport, and organized non-sport physical activity (e.g. dance). Latent class analysis was used to identify subgroups of adolescents that engaged in similar patterns of physical activity. Profiles of physical activity participation were subsequently compared on motivational characteristics using Kruskal-Wallis tests.

Results

Latent class analysis revealed six distinct classes for girls (Organized Run/Swim & Dance/Gym; Organized Dance; Leisure Active Team Sport; Active Individual Sport; Walk/Run/Outdoor games; Non-Participation) and five for boys (Leisure Active Gym; Leisure Active Individual Sport; Active Team Sport; Active Mixed Type; Non-Participation). Significant differences were found between the classes. Girls characterized by participation in team or individual sport, and boys represented by team sport participation demonstrated significantly higher self-determined motivational characteristics relative to other profiles of physical activity.

Conclusion

This research offers a nuanced insight into the underlying type of activities that constitute overall patterns of PA among adolescent boys and girls and further reveals that psychological processes vary dependent on the profile of physical activity undertaken. The findings may be useful for informing interventions aimed at promoting physical activity among young people.
Literature
2.
go back to reference Andersen LB, Harro M, Sardinha LB, Froberg K, Ekelund U, Brage S, et al. Physical activity guidelines and clustered cardiovascular risk in children: A cross-sectional study (The European Youth Heart Study). Lancet. 2010;368:299–304. doi:10.1016/S0140-6736(06)69075-2.CrossRef Andersen LB, Harro M, Sardinha LB, Froberg K, Ekelund U, Brage S, et al. Physical activity guidelines and clustered cardiovascular risk in children: A cross-sectional study (The European Youth Heart Study). Lancet. 2010;368:299–304. doi:10.​1016/​S0140-6736(06)69075-2.CrossRef
5.
go back to reference Kalman M, Inchley J, Sigmundova D, Iannotti RJ, Tynjala JA, Hamrik Z, et al. Secular trends in moderate-to-vigorous activity in 32 countries from 2002 to 2010: A cross-national perspective. Eur J Pub Health. 2015;25:37–40. doi:10.1093/eurpub/ckv024.CrossRef Kalman M, Inchley J, Sigmundova D, Iannotti RJ, Tynjala JA, Hamrik Z, et al. Secular trends in moderate-to-vigorous activity in 32 countries from 2002 to 2010: A cross-national perspective. Eur J Pub Health. 2015;25:37–40. doi:10.​1093/​eurpub/​ckv024.CrossRef
6.
go back to reference Bengoechea EG, Sabiston CM, Ahmed R, Farnoush M. Exploring the links to unorganised and organised physical activity during adolescence: The role of gender, socio-economic status, weight status, and enjoyment of physical education. Res Q Exerc Sport. 2010;81:7–16. doi:10.1080/02701367.2010.10599623.CrossRef Bengoechea EG, Sabiston CM, Ahmed R, Farnoush M. Exploring the links to unorganised and organised physical activity during adolescence: The role of gender, socio-economic status, weight status, and enjoyment of physical education. Res Q Exerc Sport. 2010;81:7–16. doi:10.​1080/​02701367.​2010.​10599623.CrossRef
10.
go back to reference Woods CB, Tannehill D, Quinlan A, Moyna N, Walsh, J. The Children’s Sport Participation and Physical Activity Study (CSPPA). Research Report No 1. School of Health and Human Performance, Dublin City University and The Irish Sports Council, Dublin, Ireland; 2010. Woods CB, Tannehill D, Quinlan A, Moyna N, Walsh, J. The Children’s Sport Participation and Physical Activity Study (CSPPA). Research Report No 1. School of Health and Human Performance, Dublin City University and The Irish Sports Council, Dublin, Ireland; 2010.
12.
go back to reference Collins LM, Lanza ST. Latent class and latent transition analysis: With applications in the social, behavioural, and health sciences. New York: Wiley; 2010. Collins LM, Lanza ST. Latent class and latent transition analysis: With applications in the social, behavioural, and health sciences. New York: Wiley; 2010.
15.
go back to reference Patnode CP, Lytle LA, Erickson D, Sirard JR, Barr-Anderson DJ, Story M. Physical activity and sedentary activity patterns among children and adolescents: A latent class analysis approach. J Phys Act Health. 2011;8:457–67. doi:10.1123/jpah.8.4.457.CrossRefPubMed Patnode CP, Lytle LA, Erickson D, Sirard JR, Barr-Anderson DJ, Story M. Physical activity and sedentary activity patterns among children and adolescents: A latent class analysis approach. J Phys Act Health. 2011;8:457–67. doi:10.​1123/​jpah.​8.​4.​457.CrossRefPubMed
20.
go back to reference Sarrazin P, Vallerand R, Guillet E, Pelletier L, Cury F. Motivation and dropout in female handballers: A 21-month prospective study. Eur J Soc Psychol. 2002;32:395–418. doi:10.1002/ejsp.98.CrossRef Sarrazin P, Vallerand R, Guillet E, Pelletier L, Cury F. Motivation and dropout in female handballers: A 21-month prospective study. Eur J Soc Psychol. 2002;32:395–418. doi:10.​1002/​ejsp.​98.CrossRef
24.
25.
go back to reference Harter S. Manual for the Self Perception Profile for Adolescents. Denver: University of Denver; 1998. Harter S. Manual for the Self Perception Profile for Adolescents. Denver: University of Denver; 1998.
26.
go back to reference Richer SF, Vallerand RJ. Construction et validation de l’Echelle du sentiment d’appartenance sociale [Construction and validation of the Feeling of Social Relatedness scale]. Eur Rev Appl Psychol. 1998;48:129–37. Richer SF, Vallerand RJ. Construction et validation de l’Echelle du sentiment d’appartenance sociale [Construction and validation of the Feeling of Social Relatedness scale]. Eur Rev Appl Psychol. 1998;48:129–37.
30.
go back to reference Muthén LK, Muthén BO. Mplus User's Guide. 6th ed. Los Angeles: Muthén & Muthén; 2011. Muthén LK, Muthén BO. Mplus User's Guide. 6th ed. Los Angeles: Muthén & Muthén; 2011.
36.
go back to reference Asendorpf JB. Person-centered Approaches to Personality. In: Cooper ML, Larsen R, editors. Handbook of personality processes and individual differences. Washington, DC: American Psychological Association; 2013. Asendorpf JB. Person-centered Approaches to Personality. In: Cooper ML, Larsen R, editors. Handbook of personality processes and individual differences. Washington, DC: American Psychological Association; 2013. 
37.
go back to reference Evenson KR, Wen F, Hales D, Herring AH. National youth sedentary behaviour and physical activity daily patterns using latent class analysis applied to accelerometry. Int J Behav Nutr Phys Act. 2016;15:55. doi:10.1186/s12966-016-0382-x. Evenson KR, Wen F, Hales D, Herring AH. National youth sedentary behaviour and physical activity daily patterns using latent class analysis applied to accelerometry. Int J Behav Nutr Phys Act. 2016;15:55. doi:10.​1186/​s12966-016-0382-x.
38.
go back to reference Aaron DJ, Storti KL, Robertson RJ, Kriska AM, La Porte RE. Longitudinal study of the number and choice of leisure time physical activities from mid to late adolescence. Implications for school curricula and community recreation programs. Arch Pediatr Adolesc Med. 2002;156:1075–80. doi:10.1001/archpedi.156.11.1075. Aaron DJ, Storti KL, Robertson RJ, Kriska AM, La Porte RE. Longitudinal study of the number and choice of leisure time physical activities from mid to late adolescence. Implications for school curricula and community recreation programs. Arch Pediatr Adolesc Med. 2002;156:1075–80. doi:10.​1001/​archpedi.​156.​11.​1075.
39.
go back to reference Bradley CB, McMurray RG, Harrell JS, Deng S. Changes in common activities of 3rd through 10th graders: the CHIC Study. Med Sci Sports Exerc. 2000;32:2071–78. doi:10.1097/00005768-200012000-00017. Bradley CB, McMurray RG, Harrell JS, Deng S. Changes in common activities of 3rd through 10th graders: the CHIC Study. Med Sci Sports Exerc. 2000;32:2071–78. doi:10.1097/00005768-200012000-00017.
40.
go back to reference Lunn P, Kelly E, Fitzpatrick N. Keeping them in the game: Taking up and dropping out of sport and exercise in Ireland. Research Series Number 33. The Economic and Social Research Institute, Whitaker Square, Sir John Rogerson’s Quay, Dublin 2; 2013. Lunn P, Kelly E, Fitzpatrick N. Keeping them in the game: Taking up and dropping out of sport and exercise in Ireland. Research Series Number 33. The Economic and Social Research Institute, Whitaker Square, Sir John Rogerson’s Quay, Dublin 2; 2013.
41.
go back to reference Frederick CM, Ryan RM. Differences in motivation for sport and exercise and their relations with participation and mental health. J Sport Behav. 1993;16:124–46. Frederick CM, Ryan RM. Differences in motivation for sport and exercise and their relations with participation and mental health. J Sport Behav. 1993;16:124–46.
42.
go back to reference Ryan RM, Frederick CM, Lepes D, Rubio N, Sheldon KM. Intrinsic motivation and exercise adherence. Int J Sport Psychol. 1997;28:335–54. Ryan RM, Frederick CM, Lepes D, Rubio N, Sheldon KM. Intrinsic motivation and exercise adherence. Int J Sport Psychol. 1997;28:335–54.
43.
go back to reference Coleman L, Cox L, Roker D. Girsl and young women’s participation in physical activity: psychological and social influences. Health Educ Res. 2008;23:633–47. doi:10.1093/her/cym040. Coleman L, Cox L, Roker D. Girsl and young women’s participation in physical activity: psychological and social influences. Health Educ Res. 2008;23:633–47. doi:10.​1093/​her/​cym040.
46.
go back to reference Lonsdale C, Rosenkranz RR, Sanders T, Peralta LR, Bennie A, Jackson B, et al. A cluster randomized controlled trial of strategies to increase adolescents’ physical activity and motivation in physical education: Results of the Motivating Active Learning in Physical Education (MALP) trial. Prev Med. 2013;57:696–702. doi:10.1016/j.ypmed.2013.09.003. Lonsdale C, Rosenkranz RR, Sanders T, Peralta LR, Bennie A, Jackson B, et al. A cluster randomized controlled trial of strategies to increase adolescents’ physical activity and motivation in physical education: Results of the Motivating Active Learning in Physical Education (MALP) trial. Prev Med. 2013;57:696–702. doi:10.​1016/​j.​ypmed.​2013.​09.​003.
48.
go back to reference Dollman J, Okely AD, Hardy L, Timperio A, Salmon J, Hills AP. A hitchhiker’s guide to assessing young people’s physical activity: Deciding what method to use. J Sci Med Sport. 2009;12:518–25. doi:10.1016/j.jsams.2008.09.007. Dollman J, Okely AD, Hardy L, Timperio A, Salmon J, Hills AP. A hitchhiker’s guide to assessing young people’s physical activity: Deciding what method to use. J Sci Med Sport. 2009;12:518–25. doi:10.1016/j.jsams.2008.09.007.
49.
go back to reference Nylund KL, Asparouhov T, Muthén B. Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Struct Equa Modeling. 2007;14:535–69. doi:10.1080/10705510701575396. Nylund KL, Asparouhov T, Muthén B. Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Struct Equa Modeling. 2007;14:535–69. doi:10.​1080/​1070551070157539​6.
Metadata
Title
Variations in adolescents’ motivational characteristics across gender and physical activity patterns: A latent class analysis approach
Authors
Margaret Lawler
Caroline Heary
Elizabeth Nixon
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2017
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-017-4677-x

Other articles of this Issue 1/2017

BMC Public Health 1/2017 Go to the issue