Quality of Life Research

, Volume 23, Issue 8, pp 2225–2234 | Cite as

Health impact of sport and exercise in emerging adult men: a prospective study

  • Yves HenchozEmail author
  • Stéphanie Baggio
  • Alexandra A. N’Goran
  • Joseph Studer
  • Stéphane Deline
  • Meichun Mohler-Kuo
  • Jean-Bernard Daeppen
  • Gerhard Gmel



Health benefits of sport and exercise are well documented in children, adolescents and adults, but little is known about emerging adulthood—a period of life characterized by significant demographic and developmental changes. The present study aimed to assess the health impact of changes in sport and exercise levels during that specific period of life.


The analysis used baseline and 15-month follow-up data (N = 4,846) from the cohort study on substance use risk factors. Associations between baseline exercise levels or changes in exercise levels and health indicators (i.e., health-related quality of life, depression, body mass index, alcohol dependence, nicotine dependence and cannabis use disorder) were measured using chi-squared tests and ANOVA. Direction of effects was tested using cross-lagged analysis.


At baseline, all health indicator scores were observed to be better for regular exercisers than for other exercise levels. At follow-up, participants who had maintained regular exercise over time had better scores than those who had remained irregular exercisers or had discontinued, but their scores for health-related quality of life and depression were close to those of participants who had adopted regular exercise after the baseline questionnaire. Cross-lagged analysis indicated that regular exercise at baseline was a significant predictor of health-related quality of life and substance use dependence at follow-up, but was itself predicted only by health-related quality of life.


From a health promotion perspective, this study emphasizes how important it is for emerging adult men to maintain, or adopt, regular sport and exercise.


Sports Physical activity Health Quality of life Prevention Young adult 



The authors are grateful to Charlotte Eidenbenz for her contribution to study coordination. This work was supported by the Swiss National Science Foundation (Grant Number 33CS30_139467).


  1. 1.
    Powell, K. E., Paluch, A. E., & Blair, S. N. (2011). Physical activity for health: What kind? How much? How intense? On top of what? Annual Review of Public Health, 32, 349–365. doi: 10.1146/annurev-publhealth-031210-101151.PubMedCrossRefGoogle Scholar
  2. 2.
    Haskell, W. L., Blair, S. N., & Hill, J. O. (2009). Physical activity: Health outcomes and importance for public health policy. Preventive Medicine, 49(4), 280–282. doi: 10.1016/j.ypmed.2009.05.002.PubMedCrossRefGoogle Scholar
  3. 3.
    Bize, R., Johnson, J. A., & Plotnikoff, R. C. (2007). Physical activity level and health-related quality of life in the general adult population: A systematic review. Preventive Medicine, 45(6), 401–415. doi: 10.1016/j.ypmed.2007.07.017.PubMedCrossRefGoogle Scholar
  4. 4.
    Paxton, R. J., Jones, L. W., Rosoff, P. M., Bonner, M., Ater, J. L., & Demark-Wahnefried, W. (2010). Associations between leisure-time physical activity and health-related quality of life among adolescent and adult survivors of childhood cancers. Psychooncology, 19(9), 997–1003. doi: 10.1002/pon.1654.PubMedCentralPubMedCrossRefGoogle Scholar
  5. 5.
    Hakkinen, A., Rinne, M., Vasankari, T., Santtila, M., Hakkinen, K., & Kyrolainen, H. (2010). Association of physical fitness with health-related quality of life in Finnish young men. Health Quality of Life Outcomes, 8, 15. doi: 10.1186/1477-7525-8-15.PubMedCentralPubMedCrossRefGoogle Scholar
  6. 6.
    Hallal, P. C., Victora, C. G., Azevedo, M. R., & Wells, J. C. (2006). Adolescent physical activity and health: A systematic review. Sports Medicine, 36(12), 1019–1030.PubMedCrossRefGoogle Scholar
  7. 7.
    Loprinzi, P. D., Cardinal, B. J., Loprinzi, K. L., & Lee, H. (2012). Benefits and environmental determinants of physical activity in children and adolescents. Obesity Facts, 5(4), 597–610. doi: 10.1159/000342684.PubMedCrossRefGoogle Scholar
  8. 8.
    Tittlbach, S. A., Sygusch, R., Brehm, W., Woll, A., Lampert, T., Abele, A. E., et al. (2011). Association between physical activity and health in German adolescents. European Journal of Sport Science, 11(4), 283–291.CrossRefGoogle Scholar
  9. 9.
    Boreham, C., Twisk, J., Neville, C., Savage, M., Murray, L., & Gallagher, A. (2002). Associations between physical fitness and activity patterns during adolescence and cardiovascular risk factors in young adulthood: The Northern Ireland Young Hearts Project. International Journal of Sports Medicine, 23(Suppl 1), S22–S26. doi: 10.1055/s-2002-28457.PubMedCrossRefGoogle Scholar
  10. 10.
    Hasselstrom, H., Hansen, S. E., Froberg, K., & Andersen, L. B. (2002). Physical fitness and physical activity during adolescence as predictors of cardiovascular disease risk in young adulthood. Danish Youth and Sports Study. An eight-year follow-up study. International Journal of Sports Medicine, 23(Suppl 1), S27–S31. doi: 10.1055/s-2002-28458.PubMedCrossRefGoogle Scholar
  11. 11.
    Lefevre, J., Philippaerts, R., Delvaux, K., Thomis, M., Claessens, A. L., Lysens, R., et al. (2002). Relation between cardiovascular risk factors at adult age, and physical activity during youth and adulthood: The Leuven Longitudinal Study on Lifestyle, Fitness and Health. International Journal of Sports Medicine, 23(Suppl 1), S32–S38. doi: 10.1055/s-2002-28459.PubMedCrossRefGoogle Scholar
  12. 12.
    Twisk, J. W., Kemper, H. C., & van Mechelen, W. (2002). The relationship between physical fitness and physical activity during adolescence and cardiovascular disease risk factors at adult age. The Amsterdam Growth and Health Longitudinal Study. International Journal of Sports Medicine, 23(Suppl 1), S8–S14. doi: 10.1055/s-2002-28455.PubMedCrossRefGoogle Scholar
  13. 13.
    Herman, K. M., Hopman, W. M., & Craig, C. L. (2010). Are youth BMI and physical activity associated with better or worse than expected health-related quality of life in adulthood? The Physical Activity Longitudinal Study. Quality of Life Research, 19(3), 339–349. doi: 10.1007/s11136-010-9586-8.PubMedCrossRefGoogle Scholar
  14. 14.
    Malina, R. M. (2001). Physical activity and fitness: Pathways from childhood to adulthood. American Journal of Human Biology, 13(2), 162–172. doi: 10.1002/1520-6300(200102/03)13:2<162:AID-AJHB1025>3.0.CO;2-T.PubMedCrossRefGoogle Scholar
  15. 15.
    Dodge, T., & Lambert, S. F. (2009). Positive self-beliefs as a mediator of the relationship between adolescents’ sports participation and health in young adulthood. Journal of Youth and Adolescence, 38(6), 813–825. doi: 10.1007/s10964-008-9371-y.PubMedCrossRefGoogle Scholar
  16. 16.
    Telama, R. (2009). Tracking of physical activity from childhood to adulthood: A review. Obesity Facts, 2(3), 187–195. doi: 10.1159/000222244.PubMedCrossRefGoogle Scholar
  17. 17.
    Rangul, V., Bauman, A., Holmen, T. L., & Midthjell, K. (2012). Is physical activity maintenance from adolescence to young adulthood associated with reduced CVD risk factors, improved mental health and satisfaction with life: The HUNT Study, Norway. The International Journal of Behavioral Nutrition and Physical Activity, 9, 144. doi: 10.1186/1479-5868-9-144.PubMedCentralPubMedCrossRefGoogle Scholar
  18. 18.
    Arnett, J. J. (2000). Emerging adulthood. A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469–480. doi: 10.1037/0003-066X.55.5.469.PubMedCrossRefGoogle Scholar
  19. 19.
    Stone, A. L., Becker, L. G., Huber, A. M., & Catalano, R. F. (2012). Review of risk and protective factors of substance use and problem use in emerging adulthood. Addictive Behaviors, 37(7), 747–775. doi: 10.1016/j.addbeh.2012.02.014.PubMedCrossRefGoogle Scholar
  20. 20.
    Studer, J., Mohler-Kuo, M., Dermota, P., Gaume, J., Bertholet, N., Eidenbenz, C., et al. (2013). Need for informed consent in substance use studies-harm of bias? Journal of Studies on Alcohol and Drugs, 74(6), 931–940.PubMedGoogle Scholar
  21. 21.
    Studer, J., Baggio, S., Mohler-Kuo, M., Dermota, P., Gaume, J., Bertholet, N., et al. (2013). Examining non-response bias in substance use research—are late respondents proxies for non-respondents? Drug and Alcohol Dependence, 132(1–2), 316–323. doi: 10.1016/j.drugalcdep.2013.02.029.PubMedCrossRefGoogle Scholar
  22. 22.
    Ware, J. E., Kosinski, M., Turner-Bowker, D. M., & Gandek, B. (2005). SF-12v2. How to score version 2 of the SF-12 health survey. Lincoln, Rhode Island: QualityMetric Incorporated.Google Scholar
  23. 23.
    Bech, P., Rasmussen, N. A., Olsen, L. R., Noerholm, V., & Abildgaard, W. (2001). The sensitivity and specificity of the major depression inventory, using the present state examination as the index of diagnostic validity. Journal of Affective Disorders, 66(2–3), 159–164.PubMedCrossRefGoogle Scholar
  24. 24.
    Olsen, L. R., Jensen, D. V., Noerholm, V., Martiny, K., & Bech, P. (2003). The internal and external validity of the major depression inventory in measuring severity of depressive states. Psychological Medicine, 33(2), 351–356.PubMedCrossRefGoogle Scholar
  25. 25.
    Pi-Sunyer, F. X., Becker, D. M., Bouchard, C., Carleton, R. A., Colditz, G. A., Dietz, W. H., et al. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: Executive summary. Expert panel on the identification, evaluation, and treatment of overweight in adults (1998). American Journal of Clinical Nutrition, 68(4), 899–917.Google Scholar
  26. 26.
    Knight, J. R., Wechsler, H., Kuo, M., Seibring, M., Weitzman, E. R., & Schuckit, M. A. (2002). Alcohol abuse and dependence among U.S. college students. Journal of Studies on Alcohol and Drugs, 63(3), 263–270.Google Scholar
  27. 27.
    Heatherton, T. F., Kozlowski, L. T., Frecker, R. C., & Fagerström, K. O. (1991). The Fagerström test for nicotine dependence: A revision of the Fagerström Tolerance Questionnaire. British Journal of Addiction, 86(9), 1119–1127.PubMedCrossRefGoogle Scholar
  28. 28.
    Huang, C. L., Lin, H. H., & Wang, H. H. (2008). Evaluating screening performances of the Fagerstrom Tolerance Questionnaire, the Fagerstrom test for nicotine dependence and the heavy smoking index among Taiwanese male smokers. Journal of Clinical Nursing, 17(7), 884–890. doi: 10.1111/j.1365-2702.2007.02054.x.PubMedCrossRefGoogle Scholar
  29. 29.
    Adamson, S. J., & Sellman, J. D. (2003). A prototype screening instrument for cannabis use disorder: The cannabis use disorders identification test (CUDIT) in an alcohol-dependent clinical sample. Drug and Alcohol Review, 22(3), 309–315. doi: 10.1080/0959523031000154454.PubMedCrossRefGoogle Scholar
  30. 30.
    Anderson, T. N., & Kida, T. E. (1982). The cross-lagged research approach: Description and illustration. Journal of Accounting Research, 20(2), 403–414.CrossRefGoogle Scholar
  31. 31.
    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, 6(1), 1–55. doi: 10.1080/10705519909540118.CrossRefGoogle Scholar
  32. 32.
    Muthén, L. K., & Muthén, B. O. (2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
  33. 33.
    Al-Hazzaa, H. M., Alahmadi, M. A., Al-Sobayel, H. I., Abahussain, N. A., Qahwaji, D. M., & Musaiger, A. O. (2013). Patterns and determinants of physical activity among Saudi adolescents. Journal of Physical Activity and Health.Google Scholar
  34. 34.
    Wagner, M. O., Bos, K., Jekauc, D., Karger, C., Mewes, N., Oberger, J., et al. (2013). Cohort Profile: The Motorik-Modul Longitudinal Study: Physical fitness and physical activity as determinants of health development in German children and adolescents. International Journal of Epidemiology. doi: 10.1093/ije/dyt098.
  35. 35.
    Uijtdewilligen, L., Twisk, J. W., Chinapaw, M. J., Koppes, L. L., van Mechelen, W., & Singh, A. S. (2013). Longitudinal person-related determinants of physical activity in young adults. Medicine and Science in Sports and Exercise. doi: 10.1249/MSS.0000000000000126.
  36. 36.
    Lisha, N. E., & Sussman, S. (2010). Relationship of high school and college sports participation with alcohol, tobacco, and illicit drug use: A review. Addictive Behaviors, 35(5), 399–407. doi: 10.1016/j.addbeh.2009.12.032.PubMedCentralPubMedCrossRefGoogle Scholar
  37. 37.
    Kalaydjian, A., Swendsen, J., Chiu, W. T., Dierker, L., Degenhardt, L., Glantz, M., et al. (2009). Sociodemographic predictors of transitions across stages of alcohol use, disorders, and remission in the National Comorbidity Survey Replication. Comprehensive Psychiatry, 50(4), 299–306. doi: 10.1016/j.comppsych.2008.09.012.PubMedCentralPubMedCrossRefGoogle Scholar
  38. 38.
    Leino-Arjas, P., Solovieva, S., Riihimaki, H., Kirjonen, J., & Telama, R. (2004). Leisure time physical activity and strenuousness of work as predictors of physical functioning: A 28 year follow up of a cohort of industrial employees. Occupational and Environmental Medicine, 61(12), 1032–1038. doi: 10.1136/oem.2003.012054.PubMedCentralPubMedCrossRefGoogle Scholar
  39. 39.
    Ruzic, L., Heimer, S., Misigoj-Durakovic, M., & Matkovic, B. R. (2003). Increased occupational physical activity does not improve physical fitness. Occupational and Environmental Medicine, 60(12), 983–985.PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yves Henchoz
    • 1
    Email author
  • Stéphanie Baggio
    • 1
  • Alexandra A. N’Goran
    • 1
  • Joseph Studer
    • 1
  • Stéphane Deline
    • 1
  • Meichun Mohler-Kuo
    • 2
  • Jean-Bernard Daeppen
    • 1
  • Gerhard Gmel
    • 1
    • 3
    • 4
    • 5
  1. 1.Alcohol Treatment CentreLausanne University Hospital CHUVLausanneSwitzerland
  2. 2.Institute of Social and Preventive MedicineUniversity of ZurichZurichSwitzerland
  3. 3.Addiction SwitzerlandLausanneSwitzerland
  4. 4.Centre for Addiction and Mental HealthTorontoCanada
  5. 5.University of the West of EnglandBristolUK

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