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Types of leisure-time physical activity participation in childhood and adolescence, and physical activity behaviours and health outcomes in adulthood: a systematic review

BMC Public Health volume 24, Article number: 1789 (2024) Cite this article

Abstract

Background

Youth leisure-time physical activity participation benefits physical activity habits and health outcomes later in life. However, it is unknown if certain types of leisure-time physical activity contribute to these benefits in different ways; this knowledge could enhance public health efforts. This systematic review aimed to synthesise evidence of the longitudinal associations between childhood and adolescent leisure-time physical activity on adulthood physical activity behaviours and health outcomes.

Methods

A systematic search of the literature was conducted across five databases from inception to July 2022. English, peer-reviewed observational studies with a minimum of two timepoints of data collection were eligible for inclusion. We included studies that investigated the association between participation in leisure-time physical activity types in children and adolescents (i.e., 5–18 years), and physical activity, mental health, or cardiovascular outcomes in adulthood (i.e., ≥ 18 years).

Results

Fourteen studies were included in the review, totalling 34,388 observations across five countries. Running in adolescence was associated with increased adulthood physical activity in both sexes, while sports involvement was associated with an increase in physical activity in males only. Adolescent team sports participation was associated with reduced odds of early adulthood depression, with varying findings for anxiety disorders. There was preliminary evidence of minimum threshold requirements for participation in certain activities before associations with future physical activity or health outcome benefits were observed.

Conclusions

Preliminary findings suggest that the lifelong behavioural and health benefits of adolescent participation in leisure-time physical activity appear to be related to the type of activity undertaken, with potential differences between sexes. With the rarity of longitudinal studies spanning from childhood into adulthood, these findings provide important insights for public health strategies to optimise lifelong health and physical activity participation.

Prospero registration

CRD42022347792.

Peer Review reports

Introduction

Undertaking regular physical activity (PA) across the lifespan is vital for ensuring optimal physical and mental health. PA participation throughout life is associated with a reduced risk of mortality and chronic health conditions, including breast and colon cancers, type 2 diabetes, cardiovascular disease, osteoporosis, dementia, and depression [1,2,3]. Physical inactivity accounts for approximately 6% of mortality worldwide and is the fourth leading risk factor for developing non-communicable diseases [4]. Furthermore, childhood PA participation benefits PA behaviours [5], mental health [6, 7], and cardiovascular disease outcomes [8] later in life. Subsequently, encouraging lifelong PA participation is of public health interest. Despite this, 27.5% of adults globally remain insufficiently active, with women less active than men [3, 9]. To optimise public health, a better understanding of PA participation behaviours and their relationship with health outcomes is needed.

PA can be classified into several domains: leisure-time, transport-related, domestic, and occupational or school-based PA [5]. Leisure-time physical activity (LTPA) is a major and modifiable component of an individual’s PA, referring to physical activities that are undertaken voluntarily, and in an individual’s discretionary time [10].This may include sports participation, walking, strength-training, or other recreational activities. LTPA can be further categorised by the mode (e.g., organised, non-competitive, non-organised), setting (e.g., school, club, neighbourhood), and type of activity (e.g., tennis, walking) [11]. Compulsory school-based physical activity such as physical education is generally not considered a component of LTPA, as this occurs outside of an individual’s freely disposable time. Previous LTPA-focussed research has mostly been quantified by time, frequency, and/or intensity (e.g., light intensity, moderate-vigorous intensity), with little investigation into the impact of the specific activity types of LTPA being performed [12,13,14,15].

The World Health Organisation Physical Activity and Sedentary Behaviour Guidelines Development Group [14] identified understanding the health effects of different PA types as one of four major evidence gaps in current knowledge. Therefore, summarising the current state of knowledge of the longitudinal health and behavioural effects of specific LTPA types could help inform public health policy and direct future research. Targeting life stages in which PA participation is volatile is key to promoting consistent PA engagement. As adolescence and early-adulthood are significant timepoints for shifts in LTPA participation, it is important that these life stages are considered [16, 17]. As such, understanding which types of LTPA participation in early life may best promote positive lifelong PA behaviours and outcomes would be beneficial. Such knowledge may assist in reducing the global burden of major diseases, including cardiovascular disease and mental health disorders, and further, achieving PA targets for improved population health.

Cardiovascular health, mental health, and physical inactivity each impose a major public health burden globally. Insufficient physical activity is estimated to be responsible for 20–30% of premature deaths [3], making physical activity promotion a public health priority [18]. With cardiovascular disease the leading cause of mortality worldwide, responsible for approximately 17.9 million deaths each year [19], and the prevalence of mental health disorders at 16% of the world’s population [20, 21], understanding mechanisms and interventions that prevent or improve these conditions is imperative to bettering public health. While early PA participation is known to be positively associated with adulthood PA, mental health, and cardiovascular health, the specific activity types that most optimally benefit health outcomes remain unclear.

Previous systematic reviews have highlighted the influence of activity structure and type on psychosocial outcomes in children [22] and cardiovascular health in adults [23]. Another review identified a largely positive relationship between overall childhood sport participation and adulthood PA [24]. However, the longitudinal associations between participation in specific LTPA types during childhood and adolescence and adult health and PA behaviours remains unknown. Therefore, this systematic review aims to collate previous findings on the associations between participation in specific types of LTPA in childhood and adolescence, and PA behaviours and mental and cardiovascular health-related outcomes in adulthood.

Methods

Protocol and registration

The systematic review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO; registration number CRD42022347792). The review has been reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [25]. A completed PRISMA Checklist and PRISMA for Abstracts Checklist can be seen in Additional file 1.

Selection criteria

Studies were eligible for inclusion if they met the following criteria:

  1. (i)

    Full-text original peer-reviewed journal article published in English;

  2. (ii)

    observational study design on humans with at least two timepoints of data collection;

  3. (iii)

    cohort from the general population,

  4. (iv)

    measurement of at least one specific type of LTPA (e.g., tennis, walking, strength-training), or grouping of specific types of LTPA with similar attributes (e.g., team sports, ball sports), in childhood or adolescence (aged 5–18 years);

  5. (v)

    quantitative assessment of at least one mental health outcome (e.g., depression or anxiety symptoms/diagnosis), cardiovascular health outcome (e.g., BMI, waist circumference, cholesterol, cardiovascular events/disease), or PA outcome in adulthood (aged 18 + years).

Studies were excluded based on the presence of the following criteria:

  1. (i)

    Focussed on targeted populations (i.e., populations with known disease or special interest groups);

  2. (ii)

    considered setting or mode of activity instead of type (e.g., non-organised vs. organised sport, school vs. non-school setting).

No date restrictions were imposed on the search.

Information sources

Studies for inclusion in the review were identified by a single researcher searching electronic databases from inception to 27 July 2022. The databases searched included Medline (via OVID), SPORTDiscus (via EBSCOhost), Embase (via OVID), Scopus, and Web of Science.

Search strategy

The electronic database search strategy was designed with input from an academic librarian experienced in conducting systematic reviews. Derived based on input from several preliminary searches, the search strategy included keywords and Boolean operators defining children and adolescents (childhood, adolescen*, youth, school, teen), physical activity (physical activit*, sport*, exercise*), adulthood (adult*, midlife), and type (type, subtype, participation). A full search strategy, by database, can be found in Additional file 2. No filters were used during the searches.

Selection process

Records from each database search were imported into EndNote 20 where duplicates were removed. Remaining records were then uploaded to Covidence systematic review management software [26] for a final duplication detection test. Two researchers (K.M and C.M) independently screened the titles and abstracts against the review eligibility criteria, with consensus between the two reviewers required for further screening. Full-text screening was also performed independently by the same two researchers (K.M and C.M), with consensus required for final inclusion. Any discrepancies between the reviewers during this process were resolved by communication or a third reviewer (V.C), if required.

Data collection

Descriptive data and results from included studies were extracted using a study-specific form created and completed in Covidence software [26]. Data extraction was completed independently by the two researchers (K.M and C.M) that conducted the screening process. Extracted data was compared in Covidence software [26], with any discrepancies resolved by review and discussion between the two researchers (K.M and C.M). Final data were then exported from Covidence to Excel.

Data items

Data extracted from each eligible study included authors, publication year, country, participant demographics (e.g., age at baseline and follow-up, sex/gender, race), length of follow-up, cohort/study name, sample size, response rate, study design, exposures (i.e., types of PA), data analyses (including adjustments), and outcome data (i.e., cardiovascular health, mental health, and PA measures).

Risk of bias in individual studies

The quality and risk of bias of included studies was assessed via a modified version of the Newcastle – Ottawa Scale (NOS) for cohort studies [27] (see Additional file 3). Using this scale, the risk of bias of individual studies was assessed across three categories: participant selection and classification, comparability of participants, and outcome assessment. Two researchers (K.M and C.M) independently assessed the risk of bias (quality) of the included records and if necessary, discrepancies between reviewers were resolved by communication or a third reviewer (V.C) prior to reaching consensus. Studies were then categorised as good, fair, or poor quality based on the collated assessment of the three NOS categories. Further details of the scoring system and individual risk of bias results are reported in Additional file 3.

Data synthesis

Data from the included studies were collated by narrative synthesis due to the methodological and analytical differences present between studies.

Results

Study selection

A total of 3,766 records were identified, and after removing duplicates, 2,330 unique records were retained for screening (Fig. 1). Following title and abstract screening, 107 articles were retained for full-text screening. After the final stage, fourteen articles were deemed eligible for inclusion.

Study characteristics

Of the fourteen studies included, five investigated early to mid-adulthood PA behaviours as an outcome [28,29,30,31,32], two explored cardiovascular disease risk factors as an outcome [33, 34], and six focussed on mental health outcomes [35,36,37,38,39,40] (Table 1). One study analysed both mental and cardiovascular health-related outcomes [41]. Included studies were published between 2003 and 2021. The studies utilised data from six cohorts, totalling 34,388 observations, and spanning across five countries: Canada, United States, Sweden, Norway, and Finland. Baseline ages ranged from 12 to 18 years, and outcome measurements were taken between 18 and 53 years, with an average follow-up of fourteen years.

Table 1 Summary of included studies, by outcome
Full size table

Risk of bias within studies

Seven studies were rated as good quality using the NOS, with the remaining seven studies rated as fair (Table 1 and Additional file 3). A consistent shortcoming was in the ascertainment of exposure and outcome measurements, with nearly all studies using self-report measures, excluding one [33].

Fig. 1
figure 1

PRISMA flowchart outlining the selection of studies

Full size image

Synthesis of results

Physical activity

Five studies considered adulthood PA outcomes, comprising 13,820 observations [28,29,30,31,32]. The cohorts included were located across five countries: Canada, United States, Sweden, Norway, and Finland. All PA exposures and outcomes were measured by self-report questionnaires, with participants aged between 13 and 17 years at baseline and 23 to 53 years at follow-up.

Kjønniksen and Torsheim, et al. [30] found that, for most activities, participation in a specific activity in adolescence was associated with higher odds of engaging in that same activity ten years later. Adolescent sports participation (i.e., ice hockey, ice skating, football, roller blading/skateboarding, basketball, soccer, boxing and baseball) was associated with higher total PA in early adulthood in one study [29]. When stratifying by sex, soccer [30], volleyball and ice hockey [32] showed associations with higher total early adulthood PA in males. No significant associations were observed for females participating in sports.

Endurance-based activities including running, track and field, and orienteering were positively associated with total adulthood PA [28,29,30, 32].One study observed a positive effect of walking/hiking on future PA [30], however other studies found no association [28, 32]. Two studies found no association of adolescent swimming participation on early to mid-adulthood PA [28, 32], however another observed a negative association in females [30]. A positive association of adolescent cycling participation on early to mid-adulthood PA was observed in females [32], but not males [28, 32]. Adolescent participation in gymnastic and dance activities was associated with higher mid-adult PA in some studies [28, 32], yet another reported no association [29].

Females engaging in both endurance and power activities during adolescence had higher early adult PA levels compared to females engaging in other combinations of activities [31]. Combat sport participation was positively associated with early adulthood PA in males [32], but no effect was observed in females [30, 32]. Strength-training had no association with early adult PA in males [32].

Mental health

In total, seven studies considered mental health outcomes; six investigating depressive symptoms [35,36,37,38,39, 41], and three studying anxiety symptoms [38, 40, 41]. With a total of 16,592 observations, four studies utilised data from the Nicotine Dependence in Teens (NDIT) study [37,38,39,40], and two studies employed data from the National Longitudinal Study of Adolescent Health (Add Health) study [36, 41]; both North American cohorts. Ages ranged from 12 to 18 years at baseline and 20 to 32 years at outcome measurements. Mental health outcomes were assessed using self-report questionnaires and included depressive symptoms, suicidal ideation and attempts, generalised anxiety disorder, stress, coping, panic disorder, social anxiety, and agoraphobia. PA exposures in adolescence included team and individual sports, American football, and contact sports.

Adolescent team sport participation was associated with a reduced likelihood of early adulthood depression compared to no sport participation [39] and no organised team sport participation [37], however this association was minimised after accounting for confounders in one study [37]. American football participation was significantly linked to lower odds of depression in early adulthood in one [36] of two studies [36, 41] when compared to no football participation. No association was found for contact sports [36] or individual sports participation [35, 39].

No association was observed between adolescent team or individual sports participation and generalised anxiety disorder in early adulthood [38, 40, 41]. Despite this, one study found reduced odds of poor coping and stress in those that sustained team sports compared to no participation or discontinuation [38]. Furthermore, both team sports [38, 40] and individual sports [40] participation reduced the odds of panic disorder in early adulthood with a similar magnitude of effect. Participation in individual sports in adolescence was associated with lower odds of social anxiety in early adulthood [40], whereas team sports showed no effect [38, 40]. Adolescent team sports participation was associated with reduced odds of early adulthood agoraphobia in both studies that examined this relationship, when compared to no team sports participation [38, 40].

Cardiovascular health

Three studies examined the association between adolescent PA types and cardiovascular health outcomes in adulthood, totalling 6,173 observations [33, 34, 41]. The outcomes measured included BMI, waist circumference, skinfolds, changes in overweight status from adolescence to adulthood, and diagnosis of high cholesterol, high triglycerides, hypertension, and heart disease. Two studies used data from the United States study, Add Health [34, 41], and one from the NDIT cohort based in Canada [33]. Ages ranged from 12 to 18 years at baseline and 18 to 32 years at follow-up.

Running in adolescence was associated with reduced adult waist circumference, BMI, and skinfold measures in early adulthood, however this association was no longer present after adjusting for adolescent body composition [33]. After adjusting for baseline body composition, sports participation (i.e., ice hockey, ice skating, football, roller blading/skateboarding, basketball, soccer, boxing and baseball) was positively associated with BMI in early adulthood [33]. Conversely, sports participation of specifically 3–4 days per week during adolescence was associated with lower odds of being overweight in early adulthood [34]. One study observed a potential association of dance and fitness participation and higher adulthood skinfold measures [33], however another study found no association [34]. Engaging in rollerblading, skating or cycling at least four days per week was associated with lower odds of being overweight or becoming overweight in early adulthood [34].

Discussion

This was the first study to systematically review published research investigating the relationships between participation in specific types of LTPA in childhood and adolescence and PA outcomes and health in adulthood. Fourteen relevant studies from five countries were identified. Findings from this review suggest there are varying associations of adolescent participation in different leisure-time physical activities on long-term health and behavioural outcomes. Additionally, some evidence suggests these associations may be observed only after a certain dosage of participation, dependent on the type of activity. Specifically, exploring adulthood PA outcomes, adolescent running participation was consistently associated with higher early to mid-adulthood PA levels in both sexes [28,29,30, 32], as was sports participation in males [30,31,32]. One study showed that any number of years of running participation was associated with these benefits, while a minimum of four years of participation was required to observe such findings for sports participation [29]. Considering mental health outcomes, team sports were associated with a reduced risk of depression, panic disorder and agoraphobia [37,38,39,40], while individual sports were associated with a lower risk of social anxiety and panic disorder [38, 40]. Studies investigating cardiovascular outcomes were limited, with varying results making associations unclear.

Physical activity

For the majority of LTPA types, participation in adolescence promoted continuation or re-uptake of the same activity in early adulthood [30]. This is consistent with the knowledge that perceived sport competence contributes to continual PA participation [42]. However, this association does not necessarily translate to higher total PA or LTPA levels in adulthood. Several studies observed varying effects of LTPA participation type in adolescence, and total PA in early to mid-adulthood, though these observations differed based on sex and study design [28,29,30,31,32].

Adolescent participation in running and running-based activities, including track and field and orienteering, were consistently correlated with higher overall PA levels in early to mid-adulthood [28,29,30, 32]. Even one year of participation in running-based activities during adolescence increased the likelihood of higher future PA levels [29]. Running is a relatively low-cost activity, requiring minimal resources and skills to undertake. Furthermore, it forms the basis of many other leisure-time activities, such as sports. These characteristics may allow adolescents to form a positive association with PA which is translated into adulthood behaviours.

Walking and hiking at 13 years of age was also associated with greater overall PA at age 23 years in both sexes [30], however these findings were not consistent with studies that measured PA outcomes at age 31 [32] and age 53 [28]. These findings suggest that walking in adolescence may positively impact PA during the transition to early adulthood, but potentially not at later ages. This period of early adulthood can signify a major transition period where many individuals are entering the workforce, moving out of home, and having children. As such, PA behaviours are susceptible to change at this time and adolescent PA associations may not be observed long-term [43].

Adolescent sports participation was positively associated with future PA in men, but not women [30,31,32]. Bélanger and Sabiston, et al. [29] identified that a minimum duration of four years sports participation during adolescence was required to observe such benefits, supporting the requirement for consistent participation during these formative years. Such sporting activities are often promoted in educational and recreational settings during the early years [15]. However, while these activities may promote lifelong PA in adolescent boys, these same effects may not be applicable to females. With females meeting fewer activity requirements than their male counterparts globally [9], it is particularly important to identify activities that will encourage lifelong PA in females, and that these activities are implemented in public health policy.

Dance and gymnastics-based activities had a positive association with future PA in only one of three studies when considered collectively [28, 29, 32]. Separately, gymnastics had a positive association in women [32]. While two studies showed no association of swimming in adolescence on later PA [44], another found a negative effect on overall PA at age 23 in females [30]. This observation warrants further research to determine the underlying motivations and experiences behind such changes during the transition to adulthood, particularly within a gendered context.

No studies examined the impact of LTPA types on objectively measured PA, with all five PA-based studies utilising self-report questionnaires. Although required for the classification of PA types, self-reporting methods can introduce misclassification and bias due to recall errors and social desirability [45,46,47]. Therefore, future research should focus on adopting a combination of objective and self-report PA measures where possible [48].

Mental health

Studies investigating mental health outcomes considered only the exposures of team sports, individual sports, American football, and contact sports [35,36,37,38,39,40,41]. Participating in team, but not individual, sports during adolescence was associated with a reduced risk of early adulthood depression [37, 39]. All studies considered baseline depressive symptoms as a confounder, therefore suggesting an independent effect of team sports participation. Due to the additional social benefits of team sports participation, such activities may provide more psychological benefits [49].

No associations were found between adolescent PA types and generalised anxiety disorder in early adulthood [38, 40, 41]. Both team and individual sports participation in adolescence, however, were found to reduce the odds of panic disorder in early adulthood [38, 40]. Compared to those who quit, sustained team sports participation was associated with reduced levels of poor coping and stress, emphasising the importance of continued participation [38]. Of note, individuals who dropped out or had never participated in team sports had similar mental health outcomes to those who never participated in team sports [38]. Generally, team sport involvement enhances social cohesion and connectedness, minimising social isolation, and subsequently improving mental health [38]. This observation may potentially arise from the loss of social identity that accompanies ceasing team sport participation during the transition to adulthood [38].

Team sports participation was also associated with reduced odds of early adulthood agoraphobia [38, 40]. Given agoraphobia is characterised by an anxiety that occurs in crowds and public places, and the exposure to these environments is often unavoidable in team sports, this may desensitise individuals to such environments [40]. However, one study did not consider baseline agoraphobia or mental health symptoms as a covariate [40]; therefore, this association may be attributable to pre-existing symptoms hindering initial sports participation. Contrarily, participating in individual sports during adolescence was associated with reduced odds of social anxiety in adulthood [40], but this was not observed for team sports [38, 40].

Cardiovascular health

Few studies examined the influence of specific PA types in childhood and adolescence on cardiovascular health outcomes and risk factors in adulthood [33, 34, 41]. While an association between running in adolescence and improved adult body composition was observed, this was no longer evident after considering baseline body composition [33]. No clear association was found for participation in dance activities [33, 34]. Menschik and Ahmed, et al. [34] reported reduced odds of being overweight based on adolescent participation in skating, rollerblading and cycling activities a minimum of four times per week [34].

Sports participation in adolescence was associated with higher adulthood BMI in one study [33]. This unexpected finding may potentially be attributable to the greater muscle mass generally observed in athletes, as these findings were not consistent in the skinfold or waist circumference measurements [33]. Conversely, another study found that participating in sports 3–4 days per week in adolescence was associated with lower odds of being overweight in adulthood [34]. These differences may also be reflective of the differences in study length and frequency of follow-up, with one study considering the number of years of participation over a five-year period [33], and another assessing only a single seven-day period at baseline [34]. This may further affirm the potential of a minimum level of adolescent sports participation before cardiovascular health benefits are observed in adulthood.

Strengths and limitations

The strengths of this study include the rigorous systematic review approach as reported in line with the PRISMA statement [25]. The scope of the review was clearly predefined with explicit inclusion and exclusion criteria. A wide number of databases were searched for eligible studies, with several test searches conducted to strengthen the likelihood of capturing all relevant studies in the review. Study screening and data extraction were performed independently by two researchers, which has shown to be more reliable than single screening processes [50]. This systematic review was also strengthened by the inclusion of only prospective longitudinal studies. Furthermore, seven of fourteen studies included in the review were of good quality, with none rated as poor.

Studies were eligible for inclusion in the review if they were peer-reviewed and published in English; therefore, relevant grey literature and non-English studies may have been excluded. Though search terms were rigorously defined, it is possible that these terms did not encapsulate all potentially eligible studies. Due to between-study heterogeneity in exposure and outcome measures, a meta-analysis was not feasible in this review, subsequently limiting the ability to present quantitative evidence.

While the inclusion of only prospective longitudinal studies is a strength, limitations may arise from the presence of selection bias resulting from inevitable loss to follow-up. Additionally, baseline periods of the included cohorts ranged from 1968 to 2001; therefore, findings may differ to present-day observations. For example, in Australia, there has been an overall increase in female sport participation, mostly led by male-dominated sports such as soccer, Australian rules football and cricket [51]. With increasing availability of resources and professional opportunities for women in sport, there may have been activities excluded from current studies that have lifelong benefits for women.

Knowledge gaps and future directions

Numerous gaps in the evidence-base were identified. Firstly, there were no studies that considered PA in childhood, with all included studies commencing baseline no earlier than 12 years of age. This may be of particular importance, as early sport commencement has been found to improve retention [52]. Secondly, research was geographically limited to five countries (Canada, United States, Sweden, Norway, and Finland), so findings may not be applicable to other regions. As different countries are known to participate in different activities due to variances in climate, culture, and resources [15], research in other countries is required to better inform how region-specific resourcing is best directed. Thirdly, few studies considered exposure activities separately [28, 30, 32], with many grouping activities prior to analysis using either logic-informed [28, 31, 34] or statistical methods [29, 33]. Overall, there were a limited number of studies that considered different leisure-time activity types and their different associations with long-term health and behavioural outcomes.

A particularly limiting factor to results synthesis was the variation in the definition and categorisation of sport and LTPA types, which has also been identified in previous reviews [22]. As such, developing a universal method to categorise activities would be of benefit for future research. Exploring the feasibility of utilising data-driven grouping methods alongside logic-informed categorisations could contribute to the development of universally accepted approaches to grouping LTPA types. Exploratory factor analysis has previously been used to categorise activities based on data from the NDIT study, however this approach resulted in excluding a significant number of activity types [29]. Research should continue to develop methods that are inclusive of more activities.

Previously, government funding in many countries has been largely directed towards developing elite sporting programs and athletes [53]. A recent shift in prioritisation to health-enhancing and ‘Sport for All’ approaches in many countries has allowed for the redirection of funds and resources to focus on lifelong PA participation [53, 54]. As trends shift globally, the expansion of knowledge and education of the longitudinal benefits of PA types will contribute to creating active societies, environments, people, and systems; pillars identified by The World Health Organisation 2018–2030 Global Action Plan on Physical Activity [18]. Such knowledge will contribute to the implementation of best practice communication campaigns and education, inform mass participation initiatives, direct resources and funding, and strengthen policy frameworks to ultimately promote lifelong activity and good health.

Conclusions

This review identified fourteen studies that investigated associations between adolescent participation in specific types of LTPA and PA, mental health, and cardiovascular health outcomes in adulthood. No studies that considered childhood PA participation were identified. Findings suggest preliminary evidence that the lifelong effects of adolescent LTPA participation may be dependent on the type of activity, with potential differences between sexes. Furthermore, there is some evidence to suggest that minimum thresholds of participation for certain activities may be required before future behaviour and health benefits are observed. Most notably, running throughout adolescence was associated with more favourable physical activity outcomes. Adolescent sports participation in men showed associations with higher adulthood physical activity. In both men and women, team sports participation was associated with lower levels of adulthood depression and agoraphobia. Further research is required to confirm the preliminary evidence identified in this review, with the inclusion of other physical activity types and health outcomes to accurately inform policy and practice. Future studies in a range of countries should be conducted to inform local policymakers and communities on where funding and resources may be most beneficially distributed to effectively promote lifelong health and PA participation.

Data availability

The data analysed during this study are available from the corresponding author upon reasonable request.

Abbreviations

Add Health:

National Longitudinal Study of Adolescent Health

BMI:

Body mass index

LTPA:

Leisure-time physical activity

NDIT:

Nicotine Dependence in Teens

NOS:

Newcastle-Ottawa Scale

PA:

Physical activity

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

References

  1. Warburton DER, Bredin SSD. Health benefits of physical activity: a systematic review of current systematic reviews. Curr Opin Cardiol. 2017;32(5):541–56.

    Article  PubMed  Google Scholar 

  2. Dinas PC, Koutedakis Y, Flouris AD. Effects of exercise and physical activity on depression. Ir J Med Sci. 2011;180(2):319–25.

    Article  CAS  PubMed  Google Scholar 

  3. World Health Organisation. Global status report on physical activity 2022. Geneva; 2022.

  4. World Health Organisation. Global health risks: mortality and burden of disease attributable to selected major risks. Geneva: WHO; 2009.

    Google Scholar 

  5. Cleland V, Dwyer T, Venn A. Which domains of childhood physical activity predict physical activity in adulthood? A 20-year prospective tracking study. Br J Sports Med. 2012;46(8):595–602.

    Article  PubMed  Google Scholar 

  6. Hoegh Poulsen P, Biering K, Andersen JH. The association between leisure time physical activity in adolescence and poor mental health in early adulthood: a prospective cohort study. BMC Public Health. 2016;16(1):3.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Appelqvist-Schmidlechner K, Mäntysaari M, Vaara J, Mäkinen J, Kyröläinen H, Häkkinen A, et al. Relationships between youth sports participation and mental health in young adulthood among Finnish males. Am J Health Promot. 2018;32(7):1502–9.

    Article  PubMed  Google Scholar 

  8. Logan K, Lloyd RS, Schafer-Kalkhoff T, Khoury JC, Ehrlich S, Dolan LM, et al. Youth sports participation and health status in early adulthood: a 12-year follow-up. Prev Med Rep. 2020;19:101107.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants. Lancet Glob Health. 2018;6(10):e1077–86.

    Article  PubMed  Google Scholar 

  10. Steinbach D, Graf C. Leisure time physical activity and SedentarinessLeisure time physical activity and sedentariness. In: Kirch W, editor. Encyclopedia of Public Health. Dordrecht: Springer Netherlands; 2008. pp. 849–51.

    Chapter  Google Scholar 

  11. Eime RM, Harvey JT, Sawyer NA, Craike MJ, Symons CM, Payne WR. Changes in sport and physical activity participation for adolescent females: a longitudinal study. BMC Public Health. 2016;16:533.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ding D, Ramirez Varela A, Bauman AE, Ekelund U, Lee IM, Heath G, et al. Towards better evidence-informed global action: lessons learnt from the Lancet series and recent developments in physical activity and public health. Br J Sports Med. 2020;54(8):462–8.

    Article  PubMed  Google Scholar 

  13. Evenson KR, Mota J. Progress and future directions on physical activity research among youth. J Phys Act Health. 2011;8(2):149–51.

    Article  PubMed  PubMed Central  Google Scholar 

  14. DiPietro L, Al-Ansari SS, Biddle SJH, Borodulin K, Bull FC, Buman MP, et al. Advancing the global physical activity agenda: recommendations for future research by the 2020 WHO Physical Activity and Sedentary Behavior Guidelines Development Group. Int J Behav Nutr Phys Act. 2020;17(1):143.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Hulteen RM, Smith JJ, Morgan PJ, Barnett LM, Hallal PC, Colyvas K, et al. Global participation in sport and leisure-time physical activities: a systematic review and meta-analysis. Prev Med. 2017;95:14–25.

    Article  PubMed  Google Scholar 

  16. Lounassalo I, Salin K, Kankaanpää A, Hirvensalo M, Palomäki S, Tolvanen A, et al. Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review. BMC Public Health. 2019;19(1):271.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Saint-Maurice PF, Coughlan D, Kelly SP, Keadle SK, Cook MB, Carlson SA, et al. Association of leisure-time physical activity across the adult life course with all-cause and cause-specific mortality. JAMA Netw Open. 2019;2(3):e190355.

    Article  PubMed  PubMed Central  Google Scholar 

  18. World Health Organisation. Global action plan on physical activity 2018–2030: more active people for a healthier world. Geneva: WHO; 2018.

    Google Scholar 

  19. World Health Organisation. Cardiovascular diseases (CVDs) Geneva: WHO. 2021 [https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)].

  20. Australian Bureau of Statistics. Mental health, 2017-18 financial year: ABS; 2018 [ https://www.abs.gov.au/statistics/health/mental-health/mental-health/2017-18#articles.].

  21. Rehm J, Shield KD. Global burden of Disease and the impact of Mental and Addictive disorders. Curr Psychiatry Rep. 2019;21(2):10.

    Article  PubMed  Google Scholar 

  22. Evans MB, Allan V, Erickson K, Martin LJ, Budziszewski R, Côté J. Are all sport activities equal? A systematic review of how youth psychosocial experiences vary across differing sport activities. Br J Sports Med. 2017;51(3):169–76.

    Article  PubMed  Google Scholar 

  23. Oja P, Titze S, Kokko S, Kujala UM, Heinonen A, Kelly P, et al. Health benefits of different sport disciplines for adults: systematic review of observational and intervention studies with meta-analysis. Br J Sports Med. 2015;49(7):434–40.

    Article  PubMed  Google Scholar 

  24. Batista MB, Romanzini CLP, Barbosa CCL, Blasquez Shigaki G, Romanzini M, Ronque ERV. Participation in sports in childhood and adolescence and physical activity in adulthood: a systematic review. J Sports Sci. 2019;37(19):2253–62.

    Article  PubMed  Google Scholar 

  25. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Covidence systematic review software Melbourne. Australia: Veritas Health Innovation; [Available from: www.covidence.org.].

  27. Wells GA, Shea B, O’Connell D, Welch V, Losos M, Tugwell P. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses: The Ottawa Hospital Research Institute; 2015 [https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp].

  28. Engström L-M. Who is physically active? Cultural capital and sports participation from adolescence to middle age—a 38-year follow-up study. Phys Educ Sport Pedagogy. 2008;13(4):319–43.

    Article  Google Scholar 

  29. Bélanger M, Sabiston CM, Barnett TA, O’Loughlin E, Ward S, Contreras G, et al. Number of years of participation in some, but not all, types of physical activity during adolescence predicts level of physical activity in adulthood: results from a 13-year study. Int J Behav Nutr Phys Act. 2015;12:76.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kjønniksen L, Torsheim T, Wold B. Tracking of leisure-time physical activity during adolescence and young adulthood: a 10-year longitudinal study. Int J Behav Nutr Phys Act. 2008;5:69.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Mäkelä S, Aaltonen S, Korhonen T, Rose RJ, Kaprio J. Diversity of leisure-time sport activities in adolescence as a predictor of leisure-time physical activity in adulthood. Scand J Med Sci Sports. 2017;27(12):1902–12.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Tammelin T, Näyhä S, Hills AP, Järvelin MR. Adolescent participation in sports and adult physical activity. Am J Prev Med. 2003;24(1):22–8.

    Article  PubMed  Google Scholar 

  33. Belanger M, Katapally TR, Barnett TA, O’Loughlin E, Sabiston CM, O’Loughlin J. Link between physical activity type in adolescence and body composition in adulthood. Med Sci Sports Exerc. 2018;50(4):709–14.

    Article  PubMed  Google Scholar 

  34. Menschik D, Ahmed S, Alexander MH, Blum RW. Adolescent physical activities as predictors of young adult weight. Arch Pediatr Adolesc Med. 2008;162(1):29–33.

    Article  PubMed  Google Scholar 

  35. Viau A, Poulin F. Youths’ organized activities and adjustment in emerging adulthood: a multidimensional conception of participation. J Res Adolesc. 2015;25(4):652–67.

    Article  Google Scholar 

  36. Bohr AD, Boardman JD, McQueen MB. Association of adolescent sport participation with cognition and depressive symptoms in early adulthood. Orthop J Sports Med. 2019;7(9):2325967119868658.

    PubMed  PubMed Central  Google Scholar 

  37. Brunet J, Sabiston CM, Chaiton M, Barnett TA, O’Loughlin E, Low NC, et al. The association between past and current physical activity and depressive symptoms in young adults: a 10-year prospective study. Ann Epidemiol. 2013;23(1):25–30.

    Article  PubMed  Google Scholar 

  38. Murray RM, Sabiston CM, Doré I, Bélanger M, O’Loughlin JL. Association between pattern of team sport participation from adolescence to young adulthood and mental health. Scand J Med Sci Sports. 2021;31(7):1481–8.

    Article  PubMed  Google Scholar 

  39. Sabiston CM, Jewett R, Ashdown-Franks G, Belanger M, Brunet J, O’Loughlin E, et al. Number of years of team and individual sport participation during adolescence and depressive symptoms in early adulthood. J Sport Exerc Psychol. 2016;38(1):105–10.

    Article  PubMed  Google Scholar 

  40. Ashdown-Franks G, Sabiston CM, Solomon-Krakus S, O’Loughlin JL. Sport participation in high school and anxiety symptoms in young adulthood. Ment Health Phys Act. 2017;12:19–24.

    Article  Google Scholar 

  41. Deshpande SK, Hasegawa RB, Weiss J, Small DS. The association between adolescent football participation and early adulthood depression. PLoS ONE. 2020;15(3).

  42. Jose KA, Blizzard L, Dwyer T, McKercher C, Venn AJ. Childhood and adolescent predictors of leisure time physical activity during the transition from adolescence to adulthood: a population based cohort study. Int J Behav Nutr Phys Act. 2011;8:54.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Telama R. Tracking of physical activity from childhood to adulthood: a review. Obes Facts. 2009;2(3):187–95.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Witkoś J, Błażejewski G, Hagner-Derengowska M, Makulec K. The impact of competitive swimming on menstrual cycle disorders and subsequent sports injuries as related to the female athlete triad and on premenstrual syndrome symptoms. Int J Environ Res Public Health. 2022;19(23).

  45. Prince SA, Adamo KB, Hamel ME, Hardt J, Connor Gorber S, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008;5:56.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Richards EA, Thomas PA, Forster AK, Hass Z. A longitudinal examination of the impact of major life events on physical activity. Health Educ Behav. 2019;46(3):398–405.

    Article  PubMed  Google Scholar 

  47. Steene-Johannessen J, Anderssen SA, van der Ploeg HP, Hendriksen IJ, Donnelly AE, Brage S, et al. Are self-report measures able to define individuals as physically active or inactive? Med Sci Sports Exerc. 2016;48(2):235–44.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Ainsworth B, Cahalin L, Buman M, Ross R. The current state of physical activity assessment tools. Prog Cardiovasc Dis. 2015;57(4):387–95.

    Article  PubMed  Google Scholar 

  49. Eime RM, Young JA, Harvey JT, Charity MJ, Payne WR. 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. Int J Behav Nutr Phys Act. 2013;10:98.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Waffenschmidt S, Knelangen M, Sieben W, Bühn S, Pieper D. Single screening versus conventional double screening for study selection in systematic reviews: a methodological systematic review. BMC Med Res Methodol. 2019;19(1):132.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Eime R, Charity M, Harvey J, Westerbeek H. Five-year changes in community-level sport participation, and the role of gender strategies. Front Sports Act Living. 2021;3:710666.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Eime R, Harvey J, Charity M, Westerbeek H. Longitudinal trends in sport participation and retention of women and girls. Front Sports Act Living. 2020;2:39.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Westerbeek H, Eime R. The physical activity and Sport Participation Framework - a policy model toward being physically active across the lifespan. Front Sports Act Living. 2021;3:608593.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Christiansen NV, Kahlmeier S, Racioppi F. Sport promotion policies in the European Union: results of a contents analysis. Scand J Med Sci Sports. 2014;24(2):428–38.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

Not applicable.

Funding

KM is supported by the Australian Government Research Training Program.

Scholarship. SLG reports funding from the National Health and Medical Research Council (GNT1182071). VC is supported by a Heart Foundation of Australia Future Leader Fellowship (ID 104892). BJF is supported by a National Heart Foundation of Australia Postdoctoral Fellowship (ID 106588). Funding bodies and sponsors played no role in the conceptualisation, design, data collection, analysis, decision to publish, or preparation of this manuscript.

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Authors and Affiliations

  1. Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, 7000, Australia

    Kelcie Miller, Claire Morley, Brooklyn J. Fraser, Seana L. Gall & Verity Cleland

  2. School of Clinical Sciences, Monash University, Melbourne, Australia

    Seana L. Gall

  3. School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia

    Verity Cleland

  4. Private Bag 23, Hobart, 7001, Australia

    Verity Cleland

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  1. Kelcie Miller
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Contributions

KM participated in the design of the study, screened studies for selection, extracted the data, performed data synthesis, and drafted the manuscript. CM contributed to study screening and data extraction. SLG, BJF and VC participated in the design of the study and supervised drafting of the manuscript. All authors edited and critically revised the manuscript. All authors have read and approved the final version of the manuscript.

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Correspondence to Verity Cleland.

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12889_2024_19050_MOESM1_ESM.docx

Additional file 1: PRISMA 2020 checklist Completed PRISMA 2020 checklist for reporting on systematic reviews, including page numbers and table/figure numbers referencing where the guideline has been addressed.

12889_2024_19050_MOESM2_ESM.docx

Additional file 2: Full search strategy by database Full search strategy for each of the five databases used during the systematic search.

12889_2024_19050_MOESM3_ESM.docx

Additional file 3: Modified Newcastle-Ottawa quality assessment form for cohort studies List of all criteria for risk of bias assessment as per the modified Newcastle-Ottawa scale, including rating criteria.

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Miller, K., Morley, C., Fraser, B.J. et al. Types of leisure-time physical activity participation in childhood and adolescence, and physical activity behaviours and health outcomes in adulthood: a systematic review. BMC Public Health 24, 1789 (2024). https://doi.org/10.1186/s12889-024-19050-3

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ISSN: 1471-2458

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