Authors :
Jahangir Alom; Kanika Murmu; Dr. Ashoke Mukherjee; Dr. Awashes Subba
Volume/Issue :
Volume 11 - 2026, Issue 1 - January
Google Scholar :
https://tinyurl.com/2xwbahdy
Scribd :
https://tinyurl.com/bdd6yh87
DOI :
https://doi.org/10.38124/ijisrt/26jan1206
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Background:
Adolescence is a critical period that has high physical growth rates and psychosocial development rates. In the case of
young athletes, the transition between normal developmental processes and sport-related requirements is particularly
challenging, but the developmental patterns that connect physical and perceived wellbeing are not studied sufficiently.
Objectives:
The purpose of the study was to: (1) analyse age effects on anthropometric markers, cardiovascular fitness, and quality
of life in adolescent football players(12-16yrs); (2) test physical variables in relation to areas of quality of life; (3) establish
the predictive validity of a developmentally sound outcome of wellbeing.
Methods:
A cross-sectional study involving 455 male footballers between the ages of 12-16 years (12-13y, n=67, 13-14y, n=128,
14-15y, n=148 and 15-16y, n=112) of North Bengal, India. Measurements were standardized (height, weight, BMI, Harvard
Step Test (cardiovascular fitness) and the WHOQOL-BREF (measuring Physical, Psychological, Social, and Environmental
QoL domains). The statistical tests consisted of descriptive statistics, ANOVA post hoc tests, correlation test, multiple
regression, moderation test, structural equation modelling and cluster test.
Results:
There were great developmental trends. Height was significantly increasing with age up to 16 (F=44.1, p<.001, η2 =.23)
and BMI was decreasing (F=21.3, p<.001, η2 =.12). There was an improvement in cardiovascular fitness (F=17.8, p<.001,
η
2=.11) with age. QoL domains represented U-shaped curves with a substantial decline in these ages 14-15, then an
incomplete recovery. HST showed positive correlations with all QoL domains (Physical: r=.40; Psychological: r=.38; Social:
r=.32; Environmental: r=.29; all p<.001) and was the sole significant predictor in all regression models that accounted 9-
16% of the variance. SEM indicated that physical and psychological mediation between fitness and social wellbeing are
present (indirect effect=.13, p<.001). The age of the respondents reduced the fitness-social QoL relationship (moderation
p=.02). Conclusion:
Cardiovascular fitness, as opposed to anthropometric measures, is found to be a developmentally strong predictor of
quality of life among adolescent footballers. The QoL dip in the mid-adolescent 14-15 years despite the rising fitness is a sign
of a critical period of interventions through physical-psychosocial programs in youth sports activities.
Keywords :
Adolescent Athletes, Quality of Life, Cardiovascular Fitness, WHOQOL-BREF, Wellbeing, Youth Football.
References :
- Backes, E. P., Bonnie, R. J., Engineering, Division, H. and M., Education, D. of B. and S. S. and, Board on Children, Y., & Applications, C. on the N. and S. S. of A. D. and I. (2019). Adolescent Development. In The Promise of Adolescence: Realizing Opportunity for All Youth. National Academies Press (US). https://www.ncbi.nlm.nih.gov/books/NBK545476/
- Bergeron, M. F., Mountjoy, M., Armstrong, N., Chia, M., Côté, J., Emery, C. A., Faigenbaum, A., Hall, G., Kriemler, S., Léglise, M., Malina, R. M., Pensgaard, A. M., Sanchez, A., Soligard, T., Sundgot-Borgen, J., van Mechelen, W., Weissensteiner, J. R., & Engebretsen, L. (2015). International Olympic Committee consensus statement on youth athletic development. British Journal of Sports Medicine, 49(13), 843–851. https://doi.org/10.1136/bjsports-2015-094962
- Biddle, S. J. H., & Asare, M. (2011a). Physical activity and mental health in children and adolescents: A review of reviews. British Journal of Sports Medicine, 45(11), 886–895. https://doi.org/10.1136/bjsports-2011-090185
- Biddle, S. J. H., & Asare, M. (2011b). Physical activity and mental health in children and adolescents: A review of reviews. British Journal of Sports Medicine, 45(11), 886–895. https://doi.org/10.1136/bjsports-2011-090185
- Brouha, L., Heath, C. W., & Graybiel, A. (1943). The Step Test: A Simple Method of Measuring Physical Fitness for Muscular Work in Young Men. Research Quarterly. American Association for Health, Physical Education and Recreation, 14(1), 31–37. https://doi.org/10.1080/10671188.1943.10621204
- Bruner, M. W., Balish, S. M., Forrest, C., Brown, S., Webber, K., Gray, E., McGuckin, M., Keats, M. R., Rehman, L., & Shields, C. A. (2017). Ties That Bond: Youth Sport as a Vehicle for Social Identity and Positive Youth Development. Research Quarterly for Exercise and Sport, 88(2), 209–214. https://doi.org/10.1080/02701367.2017.1296100
- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). https://www.scirp.org/reference/ReferencesPapers?ReferenceID=2041144
- Cole, T. J., Bellizzi, M. C., Flegal, K. M., & Dietz, W. H. (2000). Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ (Clinical Research Ed.), 320(7244), 1240–1243. https://doi.org/10.1136/bmj.320.7244.1240
- De Onis, M., Onyango, A. W., Borghi, E., Siyam, A., Nishida, C., & Siekmann, J. (2007). Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization, 85(9), 660–667. https://doi.org/10.2471/blt.07.043497
- Deb, S., Strodl, E., & Sun, J. (2015). Academic stress, parental pressure, anxiety and mental health among Indian high school students. https://www.semanticscholar.org/paper/Academic-stress%2C-parental-pressure%2C-anxiety-and-Deb-Strodl/bc03b5ae5e10c5699ca7aaac0d6d941e37eb1281
- Eime, R. M., Young, J. A., Harvey, J. T., Charity, M. J., & Payne, W. R. (2013). A systematic review of the psychological and social benefits of participation in sport for children and adolescents: Informing development of a conceptual model of health through sport. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 98. https://doi.org/10.1186/1479-5868-10-98
- Fox, E. L., Billings, C. E., Bartels, R. L., Bason, R., & Mathews, D. (1973). Fitness standards for male college students. Internationale Zeitschrift Für Angewandte Physiologie Einschließlich Arbeitsphysiologie, 31(3), 231–236. https://doi.org/10.1007/BF00697601
- Griffiths, L. J., Parsons, T. J., & Hill, A. J. (2010). Self-esteem and quality of life in obese children and adolescents: A systematic review. International Journal of Pediatric Obesity: IJPO: An Official Journal of the International Association for the Study of Obesity, 5(4), 282–304. https://doi.org/10.3109/17477160903473697
- Gustafsson, H., DeFreese, J., & Madigan, D. J. (2017). Athlete burnout: Review and recommendations. Current Opinion in Psychology, 16, 109–113. https://doi.org/10.1016/j.copsyc.2017.05.002
- Harter, S. (2012). The Construction of the Self: Second Edition: Developmental and Sociocultural Foundations. Guilford Press. https://www.guilford.com/books/The-Construction-of-the-Self/Susan-Harter/9781462522729?srsltid=AfmBOopX0lxsFuS5INA_VaaE9FOfoEJ-RBCm4GPkK4XK2F0DXfzm8UXY
- Holt, N. L., Neely, K. C., Slater, L. G., Camiré, M., Côté, J., Fraser-Thomas, J., MacDonald, D., Strachan, L., & Tamminen, K. A. (2017). A grounded theory of positive youth development through sport based on results from a qualitative meta-study. International Review of Sport and Exercise Psychology, 10(1), 1–49. https://doi.org/10.1080/1750984X.2016.1180704
- Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705519909540118
- Lloyd, R. S., Oliver, J. L., Faigenbaum, A. D., Howard, R., De Ste Croix, M. B. A., Williams, C. A., Best, T. M., Alvar, B. A., Micheli, L. J., Thomas, D. P., Hatfield, D. L., Cronin, J. B., & Myer, G. D. (2015). Long-Term Athletic Development- Part 1: A Pathway for All Youth. The Journal of Strength & Conditioning Research, 29(5), 1439. https://doi.org/10.1519/JSC.0000000000000756
- Mastorci, F., Lazzeri, M. F. L., Vassalle, C., & Pingitore, A. (2024). The Transition from Childhood to Adolescence: Between Health and Vulnerability. Children, 11(8), 989. https://doi.org/10.3390/children11080989
- McArdle, W. D., Katch, F., & Katch, V. L. (2015). Exercise Physiology: Nutrition, Energy, and Human Performance | Request PDF. https://www.researchgate.net/publication/320931917_Exercise_Physiology_Nutrition_Energy_and_Human_Performance
- Moeijes, J., van Busschbach, J. T., Bosscher, R. J., & Twisk, J. W. R. (2019). Sports participation and health-related quality of life: A longitudinal observational study in children. Quality of Life Research, 28(9), 2453–2469. https://doi.org/10.1007/s11136-019-02219-4
- Mond, J., Berg, P. van den, Boutelle, K., Hannan, P., & Neumark-Sztainer, D. (2011). Obesity, Body Dissatisfaction, and Emotional Well-Being in Early and Late Adolescence: Findings From the Project EAT Study. Journal of Adolescent Health, 48(4), 373–378. https://doi.org/10.1016/j.jadohealth.2010.07.022
- Nikolaidis, P. T., & Son’kin, V. D. (2023). Sports Physiology in Adolescent Track-and-Field Athletes: A Narrative Review. Open Access Journal of Sports Medicine, 14, 59–68. https://doi.org/10.2147/OAJSM.S417612
- Ortega, F. B., Ruiz, J. R., Castillo, M. J., & Sjöström, M. (2008). Physical fitness in childhood and adolescence: A powerful marker of health. International Journal of Obesity, 32(1), 1–11. https://doi.org/10.1038/sj.ijo.0803774
- Patton, G. C., Sawyer, S. M., Santelli, J. S., Ross, D. A., Afifi, R., Allen, N. B., Arora, M., Azzopardi, P., Baldwin, W., Bonell, C., Kakuma, R., Kennedy, E., Mahon, J., McGovern, T., Mokdad, A. H., Patel, V., Petroni, S., Reavley, N., Taiwo, K., … Viner, R. M. (2016). Our future: A Lancet commission on adolescent health and wellbeing. The Lancet, 387(10036), 2423–2478. https://doi.org/10.1016/S0140-6736(16)00579-1
- Ravens-Sieberer, U., Herdman, M., Devine, J., Otto, C., Bullinger, M., Rose, M., & Klasen, F. (2014). The European KIDSCREEN approach to measure quality of life and well-being in children: Development, current application, and future advances. Quality of Life Research, 23(3), 791–803. https://doi.org/10.1007/s11136-013-0428-3
- Rice, S. M., Purcell, R., De Silva, S., Mawren, D., McGorry, P. D., & Parker, A. G. (2016). The Mental Health of Elite Athletes: A Narrative Systematic Review. Sports Medicine (Auckland, N.Z.), 46(9), 1333–1353. https://doi.org/10.1007/s40279-016-0492-2
- Richardson, J. T. E. (2011). Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review, 6(2), 135–147. https://doi.org/10.1016/j.edurev.2010.12.001
- Sabato, T. M., Walch, T. J., & Caine, D. J. (2016). The elite young athlete: Strategies to ensure physical and emotional health. Open Access Journal of Sports Medicine, 7, 99–113. https://doi.org/10.2147/OAJSM.S96821
- Sawyer, S. M., Azzopardi, P. S., Wickremarathne, D., & Patton, G. C. (2018). The age of adolescence. The Lancet. Child & Adolescent Health, 2(3), 223–228. https://doi.org/10.1016/S2352-4642(18)30022-1
- Saxena, S., Carlson, D., Billington, R., & WHOQOL Group. World Health Organisation Quality of Life. (2001). The WHO quality of life assessment instrument (WHOQOL-Bref): The importance of its items for cross-cultural research. Quality of Life Research: An International Journal of Quality-of-Life Aspects of Treatment, Care and Rehabilitation, 10(8), 711–721. https://doi.org/10.1023/a:1013867826835
- Sinha, B. (2024). The Impact of Sports Participation on Youth Development: A Longitudinal Study of Physical, Social, and Psychological Outcomes. Innovations in Sports Science, 1(2), 6–10. https://doi.org/10.36676/iss.v1.i2.8
- Skevington, S. M., Lotfy, M., O’Connell, K. A., & WHOQOL Group. (2004). The World Health Organization’s WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial. A report from the WHOQOL group. Quality of Life Research: An International Journal of Quality-of-Life Aspects of Treatment, Care and Rehabilitation, 13(2), 299–310. https://doi.org/10.1023/B:QURE.0000018486.91360.00
- Steinberg, L. (2004). Risk taking in adolescence: What changes, and why? Annals of the New York Academy of Sciences, 1021, 51–58. https://doi.org/10.1196/annals.1308.005
- Steinberg, L., & Morris, A. S. (2001). Adolescent Development. Annual Review of Psychology, 52(Volume 52, 2001), 83–110. https://doi.org/10.1146/annurev.psych.52.1.83
- WHOQOL-BREF. (1995). The World Health Organization quality of life assessment (WHOQOL): Position paper from the World Health Organization. Social Science & Medicine, 41(10), 1403–1409. https://doi.org/10.1016/0277-9536(95)00112-K
- WHOQOL-BREF. (1998). Development of the World Health Organization WHOQOL-BREF Quality of Life Assessment. Psychological Medicine, 28(3), 551–558. https://doi.org/10.1017/S0033291798006667
Background:
Adolescence is a critical period that has high physical growth rates and psychosocial development rates. In the case of
young athletes, the transition between normal developmental processes and sport-related requirements is particularly
challenging, but the developmental patterns that connect physical and perceived wellbeing are not studied sufficiently.
Objectives:
The purpose of the study was to: (1) analyse age effects on anthropometric markers, cardiovascular fitness, and quality
of life in adolescent football players(12-16yrs); (2) test physical variables in relation to areas of quality of life; (3) establish
the predictive validity of a developmentally sound outcome of wellbeing.
Methods:
A cross-sectional study involving 455 male footballers between the ages of 12-16 years (12-13y, n=67, 13-14y, n=128,
14-15y, n=148 and 15-16y, n=112) of North Bengal, India. Measurements were standardized (height, weight, BMI, Harvard
Step Test (cardiovascular fitness) and the WHOQOL-BREF (measuring Physical, Psychological, Social, and Environmental
QoL domains). The statistical tests consisted of descriptive statistics, ANOVA post hoc tests, correlation test, multiple
regression, moderation test, structural equation modelling and cluster test.
Results:
There were great developmental trends. Height was significantly increasing with age up to 16 (F=44.1, p<.001, η2 =.23)
and BMI was decreasing (F=21.3, p<.001, η2 =.12). There was an improvement in cardiovascular fitness (F=17.8, p<.001,
η
2=.11) with age. QoL domains represented U-shaped curves with a substantial decline in these ages 14-15, then an
incomplete recovery. HST showed positive correlations with all QoL domains (Physical: r=.40; Psychological: r=.38; Social:
r=.32; Environmental: r=.29; all p<.001) and was the sole significant predictor in all regression models that accounted 9-
16% of the variance. SEM indicated that physical and psychological mediation between fitness and social wellbeing are
present (indirect effect=.13, p<.001). The age of the respondents reduced the fitness-social QoL relationship (moderation
p=.02). Conclusion:
Cardiovascular fitness, as opposed to anthropometric measures, is found to be a developmentally strong predictor of
quality of life among adolescent footballers. The QoL dip in the mid-adolescent 14-15 years despite the rising fitness is a sign
of a critical period of interventions through physical-psychosocial programs in youth sports activities.
Keywords :
Adolescent Athletes, Quality of Life, Cardiovascular Fitness, WHOQOL-BREF, Wellbeing, Youth Football.