Leisure activities of adolescents-associations with demographic characteristics, well-being and parental leisure engagement.

Friederike Wanka, Mandy Vogel, Nico Grafe, Manuela Aßmann, Wieland Kiess, Tanja Poulain
Author Information
  1. Friederike Wanka: LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany. fw85tiha@studserv.uni-leipzig.de.
  2. Mandy Vogel: LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.
  3. Nico Grafe: LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.
  4. Manuela Aßmann: LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.
  5. Wieland Kiess: LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.
  6. Tanja Poulain: LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.

Abstract

BACKGROUND: The present study aimed to investigate associations between leisure activities and well-being, behavioral difficulties, and parental leisure time engagement.
METHODS: A total of 959 adolescents aged 10 to 18 years were included in the present study. We assessed their leisure activities (e.g., family time, meeting friends, screen time, sports participation), well-being (Kidscreen-27) and behavioral difficulties (Strengths and Difficulties Questionnaire SDQ) using questionnaires. The leisure behavior of parents was assessed using a parent version of the leisure activities questionnaire. We applied linear and logistic mixed-effect models to assess associations, adjusting for age, sex, and SES.
RESULTS: The associations between leisure activities and well-being differed depending on the type of activity. Active leisure (e.g., family time, meeting friends, café visits, visiting a museum/art exhibition/cinema, visiting a concert/opera, voluntary work, sports participation) was associated with better well-being, especially physical well-being, and fewer behavioral difficulties. Passive leisure activities (screen time, chilling) were associated with lower well-being and more behavioral difficulties. We also observed that adolescents reported more frequently participation in the described leisure activities if their parents did so.
CONCLUSION: We need to promote active leisure behavior among young people and their parents to improve adolescents' well-being.
IMPACT: Most previous studies on leisure behavior have focused on screen time and sports participation, but we examined a variety of leisure activities including family time, meeting friends, café visits, visiting a museum/art exhibition/cinema, visiting a concert/opera, voluntary work, chilling and sports participation and screen time. Active leisure activities are associated with better well-being and less behavioral problems. Parents' leisure time participation is associated with higher participation of their children in these activities. We need to promote active leisure behavior among adolescents and their parents to improve overall well-being.

References

  1. Sawyer, S. M., Azzopardi, P. S., Wickremarathne, D. & Patton, G. C. The age of adolescence. Lancet Child Adolesc. Health 2, 223–228 (2018). [PMID: 30169257]
  2. Logstrup, S. Children and young people: the importance of physical activity. Bruss. Eur. Heart Health Initiat. 6 (2001).
  3. Ma, L., Hagquist, C. & Kleppang, A. L. Leisure time physical activity and depressive symptoms among adolescents in Sweden. BMC Public Health 20, 997 (2020). [PMID: 32586303]
  4. World Health Organization. WHO guidelines on physical activity and sedentary behaviour (2020).
  5. Guram, S. & Heinz, P. Media use in children: American Academy of Pediatrics recommendations 2016. Arch. Dis. Child. - Educ. Pract. Ed. 103, 99–101 (2018). [PMID: 29223974]
  6. Crone, E. A. & Konijn, E. A. Media use and brain development during adolescence. Nat. Commun. 9, 588 (2018). [PMID: 29467362]
  7. Johnson, J. G., Cohen, P., Kasen, S., First, M. B. & Brook, J. S. Association between television viewing and sleep problems during adolescence and early adulthood. Arch. Pediatr. Adolesc. Med. 158, 562 (2004). [PMID: 15184220]
  8. Poulain, T. et al. Reciprocal longitudinal associations between adolescents’ media consumption and psychological health. Acad. Pediatr. 19, 109–117 (2019). [PMID: 30144525]
  9. Poulain, T., Peschel, T., Vogel, M., Jurkutat, A. & Kiess, W. Cross-sectional and longitudinal associations of screen time and physical activity with school performance at different types of secondary school. BMC Public Health 18, 563 (2018). [PMID: 29703168]
  10. Strasburger, V. C., Council on Communications and Media. Children, adolescents, obesity, and the media. Pediatrics 128, 201–208 (2011). [PMID: 21708800]
  11. Gortmaker, S. L. et al. Television viewing as a cause of increasing obesity among children in the United States, 1986-1990. Arch. Pediatr. Adolesc. Med. 150, 356 (1996). [PMID: 8634729]
  12. Hancox, R. J., Milne, B. J. & Poulton, R. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet 364, 257–262 (2004). [PMID: 15262103]
  13. Eccles, J. S., Barber, B. L., Stone, M. & Hunt, J. Extracurricular activities and adolescent development. J. Soc. Issues 59, 865–889 (2003). [DOI: 10.1046/j.0022-4537.2003.00095.x]
  14. Mahoney, J. L. School extracurricular activity participation as a moderator in the development of antisocial patterns. Child Dev. 71, 502–516 (2000). [PMID: 10834480]
  15. Oberle, E. et al. Screen time and extracurricular activities as risk and protective factors for mental health in adolescence: a population-level study. Prev. Med. 141, 106291 (2020). [PMID: 33069689]
  16. Crouter, A. C., Head, M. R., McHale, S. M. & Tucker, C. J. Family time and the psychosocial adjustment of adolescent siblings and their parents. J. Marriage Fam. 66, 147–162 (2004). [DOI: 10.1111/j.0022-2445.2004.00010.x-i1]
  17. Schor, E. L. American Academy of Pediatrics Task Force on the family. Family pediatrics: report of the Task Force on the family. Pediatrics 111, 1541–1571 (2003). [PMID: 12777595]
  18. Manz, K. et al. Körperlich-sportliche Aktivität und Nutzung elektronischer Medien im Kindes- und Jugendalter: Ergebnisse der KiGGS-Studie – Erste Folgebefragung (KiGGS Welle 1). Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 57, 840–848 (2014). [PMID: 24950833]
  19. Auhuber, L., Vogel, M., Grafe, N., Kiess, W. & Poulain, T. Leisure activities of healthy children and adolescents. Int. J. Environ. Res. Public. Health 16, 2078 (2019). [PMID: 31212786]
  20. Sisson, S. B. et al. Profiles of sedentary behavior in children and adolescents: The US National Health and Nutrition Examination Survey, 2001–2006. Int. J. Pediatr. Obes. 4, 353–359 (2009). [PMID: 19922052]
  21. Rey-López, J. P. et al. Sedentary patterns and media availability in European adolescents: the Helena study. Prev. Med. 51, 50–55 (2010). [PMID: 20359491]
  22. Poulain, T., Ludwig, J., Hiemisch, A., Hilbert, A. & Kiess, W. Media use of mothers, media use of children, and parent–child interaction are related to behavioral difficulties and strengths of children. Int. J. Environ. Res. Public. Health 16, 4651 (2019). [PMID: 31766650]
  23. Schwarzer, C., Grafe, N., Hiemisch, A., Kiess, W. & Poulain, T. Associations of media use and early childhood development: cross-sectional findings from the Life Child study. Pediatr. Res. 91, 247–253 (2022). [PMID: 33658656]
  24. Quante, M. et al. The LIFE child study: a life course approach to disease and health. BMC Public Health 12, 1021 (2012). [PMID: 23181778]
  25. Poulain, T. et al. The Life Child study: a population-based perinatal and pediatric cohort in Germany. Eur. J. Epidemiol. 32, 145–158 (2017). [PMID: 28144813]
  26. Ravens-Sieberer, U. et al. The KIDSCREEN-27 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Qual. Life Res. 16, 1347–1356 (2007). [PMID: 17668292]
  27. Goodman, R. The strengths and difficulties questionnaire: a research note. J. Child Psychol. Psychiatry 38, 581–586 (1997). [PMID: 9255702]
  28. Van Roy, B., Veenstra, M. & Clench‐Aas, J. Construct validity of the five‐factor Strengths and Difficulties Questionnaire (SDQ) in pre‐, early, and late adolescence. J. Child Psychol. Psychiatry 49, 1304–1312 (2008). [PMID: 19120709]
  29. Ortuño-Sierra, J., Aritio-Solana, R. & Fonseca-Pedrero, E. Mental health difficulties in children and adolescents: the study of the SDQ in the Spanish National Health Survey 2011–2012. Psychiatry Res. 259, 236–242 (2018). [PMID: 29091822]
  30. Winkler, J. & Stolzenberg, H. Adjustierung Des Sozialen-Schicht-Index Für Die Anwendung Im Kinder- Und Jugendgesundheitssurvey (KiGGS). (Wismarer Diskussionspapiere, 2009).
  31. Lampert, T., Hoebel, J., Kuntz, B., Müters, S. & Kroll, L. E. Messung des sozioökonomischen Status und des subjektiven sozialen Status in KiGGS Welle 2. J. Health Monit. 3, 118–119 (Robert Koch-Institut, Epidemiologie und Gesundheitsberichterstattung, 2018).
  32. McHale, S. M., Crouter, A. C. & Tucker, C. J. Free-time activities in middle childhood: links with adjustment in early adolescence. Child Dev. 72, 1764–1778 (2001). [PMID: 11768144]
  33. Maier, I. B., Özel, Y., Wagnerberger, S., Bischoff, S. C. & Bergheim, I. Dietary pattern and leisure time activity of overweight and normal weight children in Germany: sex-specific differences. Nutr. J. 12, 14 (2013). [PMID: 23320866]
  34. Rittsteiger, L. et al. Sports participation of children and adolescents in Germany: disentangling the influence of parental socioeconomic status. BMC Public Health 21, 1446 (2021). [PMID: 34294081]
  35. Larson, R. & Richards, M. H. Daily companionship in late childhood and early adolescence: changing developmental contexts. Child Dev. 62, 284–300 (1991). [PMID: 2055123]
  36. Larson, R. & Richards, M. H. Divergent Realities: The Emotional Lives of Mothers, Fathers, and Adolescents. (ERIC, 1994).
  37. Larson, R. W., Richards, M. H., Moneta, G., Holmbeck, G. & Duckett, E. Changes in adolescents’ daily interactions with their families from ages 10 to 18: disengagement and transformation. Dev. Psychol. 32, 744–754 (1996). [DOI: 10.1037/0012-1649.32.4.744]
  38. Larson, R. W. & Verma, S. How children and adolescents spend time across the world: work, play, and developmental opportunities. Psychol. Bull. 125, 701–736 (1999). [PMID: 10589300]
  39. Jenkinson, C. E. et al. Is volunteering a public health intervention? A systematic review and meta-analysis of the health and survival of volunteers. BMC Public Health 13, 773 (2013). [PMID: 23968220]
  40. Yeung, J. W. K., Zhang, Z. & Kim, T. Y. Volunteering and health benefits in general adults: cumulative effects and forms. BMC Public Health 18, 8 (2017). [PMID: 28693551]
  41. Johnson, M. K., Beebe, T., Mortimer, J. T. & Snyder, M. Volunteerism in adolescence: a process perspective. J. Res. Adolesc. 8, 309–332 (1998). [DOI: 10.1207/s15327795jra0803_2]
  42. U. S. Department of Health and Human Services. Summary of the surgeon general’s report addressing physical activity and health. Nutr. Rev. 54, 280–284 (1996).
  43. McMahon, E. M. et al. Physical activity in European adolescents and associations with anxiety, depression and well-being. Eur. Child Adolesc. Psychiatry 26, 111–122 (2017). [PMID: 27277894]
  44. Wang, F. et al. Long-term association between leisure-time physical activity and changes in happiness: analysis of the Prospective National Population Health Survey. Am. J. Epidemiol. 176, 1095–1100 (2012). [PMID: 23171884]
  45. Shin, K. & You, S. Leisure type, leisure satisfaction and adolescents’ psychological wellbeing. J. Pac. Rim Psychol. 7, 53–62 (2013). [DOI: 10.1017/prp.2013.6]
  46. Boers, E., Afzali, M. H., Newton, N. & Conrod, P. Association of screen time and depression in adolescence. JAMA Pediatr. 173, 853–859 (2019). [PMID: 31305878]
  47. Gentile, D. A. et al. Pathological video game use among youths: a two-year longitudinal study. Pediatrics 127, e319–e329 (2011). [PMID: 21242221]
  48. Cabanas-Sánchez, V. et al. Social correlates of sedentary behavior in young people: the UP&DOWN study. J. Sport Health Sci. 9, 189–196 (2020). [PMID: 32099727]
  49. Schoeppe, S. et al. The influence of parental modelling on children’s physical activity and screen time: Does it differ by gender? Eur. J. Public Health 27, 152–157 (2017). [PMID: 28177458]
  50. Jago, R., Fox, K. R., Page, A. S., Brockman, R. & Thompson, J. L. Parent and child physical activity and sedentary time: Do active parents foster active children? BMC Public Health 10, 194 (2010). [PMID: 20398306]

Word Cloud

Created with Highcharts 10.0.0leisureactivitieswell-beingtimeparticipationbehavioraldifficultiesscreensportsbehaviorparentsvisitingassociatedassociationsadolescentsfamilymeetingfriendspresentstudyparentalengagementassessedegusingActivecafévisitsmuseum/artexhibition/cinemaconcert/operavoluntaryworkbetterchillingneedpromoteactiveamongimproveBACKGROUND:aimedinvestigateMETHODS:total959aged1018yearsincludedKidscreen-27StrengthsDifficultiesQuestionnaireSDQquestionnairesparentversionquestionnaireappliedlinearlogisticmixed-effectmodelsassessadjustingagesexSESRESULTS:differeddependingtypeactivityespeciallyphysicalfewerPassiveloweralsoobservedreportedfrequentlydescribedsoCONCLUSION:youngpeopleadolescents'IMPACT:previousstudiesfocusedexaminedvarietyincludinglessproblemsParents'higherchildrenoverallLeisureadolescents-associationsdemographiccharacteristics

Similar Articles

Cited By