Skip to main content
UKPMC Funders Author Manuscripts logoLink to UKPMC Funders Author Manuscripts
. Author manuscript; available in PMC: 2022 Dec 14.
Published in final edited form as: Obes Rev. 2021 Oct 28;23(3):e13374. doi: 10.1111/obr.13374

Do adolescents’ experiences of the barriers to and facilitators of physical activity differ by socioeconomic position? A systematic review of qualitative evidence

Olivia Alliott 1, Mairead Ryan 1, Hannah Fairbrother 2, Esther van Sluijs 1,
PMCID: PMC7613938  EMSID: EMS151277  PMID: 34713548

Abstract

Background

This review aims to systematically identify and synthesis qualitative data on adolescents’ experiences of the barriers to and facilitators of physical activity to understand whether these differ by socioeconomic position.

Methods

Multiple databases (MEDLINE, Web of Science Core Collection, PsycINFO and ERIC) were searched in August 2020. Duplicate title/abstract and full text screening was conducted. Studies were included if they reported qualitative data collected from adolescents (aged 10-19), a measure of socioeconomic position and focused on physical activity. Studies not published in English or published before 2000 were excluded. Relevant data were extracted and methodological quality assessed (in duplicate). Data were analysed using Thomas and Harden’s (2008) methods for the thematic synthesis.

Results

Four analytical themes emerged from the 25 included studies: (1) Social Support (2) Accessibility and the Environment (4) Other Behaviours and Health (4) Gendered Experiences. These themes appeared across socioeconomic groups, however their narratives varied significantly. For example, provision and access to local facilities was discussed as a facilitator to middle and high socioeconomic adolescents, but was a barrier to low socioeconomic adolescents.

Conclusions

These findings can be used to inform how different socioeconomic groups may benefit from, or be disadvantaged by, current interventions.

Keywords: physical activity, adolescence, socioeconomic position

1. Background

Globally physical activity levels of 11-17-year-olds are low,1 with less than one in ten adolescents meeting the physical activity guidelines of 60 minutes per day.1,2 Low physical activity levels during adolescence, defined as 10-19-years-olds in line with the World Health Organisation (WHO), are linked to many health problems including obesity.3 Obesity prevalence is highest in western and industrialised countries,4 with socioeconomically deprived groups being more affected. 4,5 Research suggests that children with lower socioeconomic recourses are more likely to have a higher body mass index (BMI) and are at an increased risk of obesity in adulthood. Indicating poorer current and future health.6 This disparity is likely due to socioeconomic differences in the key behaviours that drive obesity, such a diet and physical activity.

Restrictions in response to the Covid-19 pandemic, including national and regional lockdowns, social distancing restrictions and the closure of schools and sports clubs,7 have exacerbated inequalities in obesity and physical activity.8 As we move towards recovering from the pandemic the challenge for public health professionals is to identify effective and equitable strategies to prevent obesity, through, for example, promoting physical activity. Understanding socioeconomic variation in physical activity is important to achieving this goal, as it may represent a pathway by which socioeconomic position (SEP; socially derived economic factors that influence what position individuals or groups hold with society9) leads to overweight and obesity.10 However, whilst a positive relationship exists between SEP and physical activity in the adult population,11,12 it is much less discussed with regard to adolescents.

At present, within the relatively small body of literature that has directly examined the association between SEP and physical activity, findings are equivocal. A systematic review of this evidence suggests that higher SEP is associated with higher levels of physical activity in adolescents.13 However, 42% of studies reported no association or an inverse association between SEP and activity levels. Reasons for these results are that studies used (1) varying indicators of SEP, (2) subjective, self-reported measures of physical activity, and (3) varying domains (e.g., active travel, leisure time) of physical activity. However, the relationship between SEP and physical activity remains unclear even when using a standardised measure of SEP and harmonised accelerometer data.10

It is possible our incomplete understanding of this relationship is contributing toward the reported limited efficacy of interventions to promote physical activity among this population.14 Social ecological models describe the interactive characteristics of individuals and their environments that underlie observed health outcomes and have long been recommended to guide public health practice.15 This aligns with the conclusions of previous research, which suggests there is no single explanation for a relationship between physical activity and SEP during adolescence.13

It is therefore important to identify and understand factors related to physical activity behaviour, and how they vary by young people’s personal circumstances.16 Investigating the correlates of physical activity has contributed to this, and there are several systematic reviews of quantitative evidence1720 based on the behavioural epidemiology framework and socioecological models.21,22 However, as the need to listen to young people has become increasingly emphasised in public and political debate,23 there has been an increase in qualitative studies offering a distinct understanding of adolescents’ perspectives and experiences of physical activity.23 Understanding these experiences and how the barriers and facilitators of physical activity might be shaped by circumstance and context may provide new insight on this complex relationship.24

In response, this review aims to systematically identify and synthesise qualitative data on adolescents’ experiences of the barriers and facilitators of physical activity to understand whether these experiences differ by socioeconomic position.

3. Methods

A protocol for this systematic review was registered on PROSPERO on 30 June 2020 (CRD42020179997). The Enhancing Transparency in reporting the Synthesis of Qualitative Research (ENTREQ) checklist was followed to guide this review paper.25

There are numerous ways to describe and measure socioeconomic conditions. This becomes especially evident in research with children and adolescents where proxy measures such as parental education or income are used.26 In this review we use the term SEP to refer to numerous exposures, resources and susceptibilities that may affect health, acting as an overarching definition for multiple indicators.27

2.1. Searches and screening

A systematic search of peer-reviewed literature was conducted in the following databases: MEDLINE via Ovid, the Web of Science Core Collection (Thomson Reuters) PsycINFO, Global Health and ERIC via EBSCOhost on the 1st August 2020. Terms relating to physical activity (e.g. [Physical activit*], [Exercise*]), adolescence (e.g. [Adolescen*], [Youth*]), SEP (e.g. [Socioeconomic*], [Deprived]) and qualitative methodology (e.g. [Qualitative], [Narrative*]) were combined to search the databases. Search strategies were developed in consultation with a librarian. Search strategies for each database can be found in Additional file 1. The lead author’s personal reference library was searched for additional papers.

One author ran the database searches. Search results from each database were exported into ENDNOTE X7 citation management software (Thomson Reuters, Philadelphia, PA, USA) where duplicates were removed. The remaining articles were uploaded into Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia) for screening. Two authors screened 10% of the articles to ensure adequate agreement28 before independently screening the title and abstract of all articles against the inclusion criteria and exclusion criteria (Table 1). The full-texts of the remaining articles were obtained for duplicate screening. Due to a high volume and heterogeneity of studies remaining, the review team agreed revised in/exclusion criteria (specified in Table 1) and rescreened all included articles. Conflicts were discussed at all stages and a third member of the review team was consulted if a consensus could not be reached.

Table 1. Inclusion and exclusion criteria of study eligibility.

Inclusion criteria Exclusion criteria
Healthy adolescents (10- to 19-years-old, as defined by WHO)29 Any other age group; clinical populations; data not collected from adolescents', e.g., parent/teacher proxy
Studies taking any theoretical approach (e.g., grounded theory, framework analysis) where qualitative data (e.g., interviews, focus group) are collected and analyzed Any other study design, e.g., RCTs, quasi-experimental studies, clinical trial, pre-post studies
Studies that analyze by SEP or focus on a specific socioeconomic subgroup (e.g., low-SEP). SEP defined as detailed above, including numerous exposures, resources and susceptibilities that may affect health9 Studies which do not analyze by SEP
Studies that have physical activity as a primary focus Studies where physical activity is not a primary focus, e.g., a study which includes physical activity as a theme but focuses on sedentary behavior
Additional criteriaa
Studies published in high income countriesa Studies published in low and middle income countriesa
Studies published from 2005 onwardsa Studies published before 2005a
Studies published in Englisha Studies published in any other languagea

Note: This table outlines the inclusion and exclusion criteria applied during screening.

a

Additional criteria added to cope with the high volume and heterogeneity of studies after initial full text screening.

2.2. Quality appraisal

The methodological quality of included studies was assessed using the Critical Appraisal Skills Programme (CASP) qualitative checklist.30 The CASP checklist was selected as it is user friendly and widely used, allowing the results to be compared with other reviews.31

Two authors independently appraised 10% of the studies as a calibration exercise and to check agreement. One author appraised the remaining articles against the criteria outline in Table 2. Whilst CASP is widely used, there is still no commonly agreed upon appraisal tool, therefore studies were not excluded based on this.

Table 2. Summary of quality appraisal of included qualitative studies30.

Items assessed Number of studies (%) Can’t tell
Yes No
1. Was there a clear statement of the aims of the research? 24/25 (96) 1/25 (4)
2. Is a qualitative methodology appropriate? 25/25 (100)
3. Was the research design appropriate to address the aims of the research? 24/25 (96) 1/25 (4)
4. Was the recruitment strategy appropriate to the aims of the research? 25/25 (100)
5. Was the data collected in a way that addressed the research issue? 25/25 (100)
6. Has the relationship between researcher and participants been adequately considered? 12/25 (48) 1/25 (4) 12/25 (48)
7. Have ethical issues been taken into consideration? 19/25 (76) 6/25 (24)
8. Was the data analysis sufficiently rigorous? 22/25 (88) 3/25 (12)
9. Is there a clear statement of findings? 24/25 (96) 1/25 (4)
10. How valuable is the research? 24/25 (96) 1/25 (4)

Note: This table summarizes the quality of included studies.

2.3. Data extraction

The following data were extracted into a data extraction template using excel: bibliographic information (author, country date), study aims, methods (participants, data collection, analysis), measure and level of SEP, presentation of results, barriers to physical activity, facilitators of physical activity, conclusions and implications for policy and practice. The table also included a ‘notes’ section where authors could highlight potentially additional useful information from the introduction and discussion of each article to support data interpretation. Data extracted under the ‘barriers’ and ‘facilitators’ headings were extracted verbatim from the ‘Results’ section of each paper. This included first-order (adolescents’ quotes) and second-order constructs (researcher interpretation, statements, assumptions and ideas).32,33

Two members of the review team independently piloted the extraction form. After modifications were made, the same two reviewers independently extracted data from 10% of the articles. A high level of agreement was reached (authors extracted the same information from both articles, with some variation in the level of detail), therefore both reviewers continued to work independently to extract data from the remaining articles.

2.4. Data analysis

One member of the review team analysed the extracted data following Thomas and Harden’s (2008) methods for the thematic synthesis of qualitative research in systematic reviews.33 This method was chosen as the synthesis product is conducive to producing recommendations for policy and practice.34 The synthesis involved the steps described below.

In step 1, one author re-read the extracted results from each paper to become familiar with the data and allow codes to emerge inductively. This informed an initial bank of codes based on common barriers and facilitators identified across studies. In step 2, the same author read each study, line-by-line, and coded data relevant to the research question, updating the code bank where necessary and rereading already coded data to check for the new themes. For step 3, the author developed descriptive themes, which involved translating concepts from one study to another. During this stage, the initial codes were reviewed and organised into sub-themes. Until this point, the synthesis remained close to the original findings of the included studies. For step 4, the author used the descriptive themes to developed higher-order analytical themes which went beyond the content of the original data to generate additional concepts, understandings and hypotheses. Whilst presented in steps, it should be noted that the analysis was an iterative process.

3. Results

3.1. Literature search and selection

The search strategy identified 8620 unique references. The main reasons for exclusion during full text screening were (1) wrong population, e.g. articles where data were not collected directly from adolescents, and (2) wrong source format e.g. books, conference abstracts and dissertations. A total of 25 articles were included (see Figure 1).

Figure 1. PRISMA Flow Diagram of Study Selection.

Figure 1

3.2. Characteristics of included studies

Table 3 shows the characteristics of the included studies. Most studies (18/25) were conducted after 2010, 15 studies were conducted in the United States (US) and Canada, two in Australia, three in the United Kingdom (UK) and five elsewhere in Europe. Studies primarily used a qualitative study design (n=22), rather than a mixed-methods design (n=3) and all studies used interviews, focus groups or a combination of the two as their data collection method. Content analysis was the most frequently used analysis method (n=12) followed by thematic analysis (n=5). All articles mentioned some kind of coding and theme development.

Table 3. Characteristics of included qualitative studies (presented in alphabetical order by lead author's last name).

Bibliographic information Location Stated study aim Methods (design, data collection, analysis) Participants Measure and level of SEP
Anderson et al., 2016 USA (Baltimore City) To provide in-depth information on the social roles that youths' parents and friends play related to eating and physical activity behaviors and to explore the impact of other social relationships on youths' eating and physical activity behaviors. Mixed-methods, interviews, guided by principles of content analysis 48 adolescents living in a low-income African American food dessert, aged 11–13 (28 males, 20 females) Area level SEP
Low income neighborhood Low-SEP
Blanton et al., 2013 USA (Michigan) To investigate perceptions and opinions of a nature-based physical activity intervention designed for low-income urban adolescents. Qualitative, focus groups, hierarchical content analysis 20 primarily African American adolescents, aged 11–14 (13 males, 7 females) School level SEP
Free school meal uptake Low-SEP
Boshoff et al., 2007 Australia (South Australia) To expand the knowledge base about the attributes of children in neighborhoods defined as low SES who display healthy behaviors in their eating and physical activity. Mixed-methods, focus groups, inductive thematic analysis 23 physically active adolescents, aged 10–13 (11 males, 12 females) Area level SEP
n/a “low-income neighborhood” Low-SEP
Bragg et al., 2009 USA (North Carolina) To identify motivators and barriers relative to engagement in physical activity as reported by culturally diverse low-income adolescents and adults. Qualitative, focus groups, content analysis 41 culturally diverse adolescents, aged 12–15 (21 males, 20 females) Individual level SEP
Family income less than $40,000 Low-SEP
Charlton et al., 2014 UK (South Wales) To examine clustering of factors associated with low fitness in adolescents in order to best target public health interventions for young people. Mixed-methods, focus-groups, grounded theory analysis 20 students from deprived schools in South Wales, aged 13–14?years (10 males, 10 females) School level SEP
Deprived schools according to deprivation of the catchment area and free school meal eligibility Low-SEP
Cooky, 2009 USA (Los Angeles) To use qualitative methodologies and the sociology of accounts to examine a recreational sport program for low-income minority girls in the metropolitan Los Angeles area. Qualitative, interviews, tri-level analysis 13 “at risk” minority adolescents, aged 13–15 (13 females) Individual level SEP
Family Income Low-SEP
Dagkas and Stathi, 2007 UK (Midlands) To explore the social factors that influence young people’s participation in school and out of school physical activities. Qualitative, Interviews, coding using inductive and deductive procedures 52 adolescents from two secondary school, ages 16 (26 males, 26 females) School level SEP
Location of the school and provision of free school meals Middle-high SEP and low-SEP
Duck et al., 2020 USA (Mississippi) To identify and explore factors that influence physical activity in children in a low-income neighborhood. Qualitative, photovoice and focus groups, content analysis 5 adolescents from a predominantly black population, ages 10–14 (3 males, 2 females) School level SEP
100% eligible for free/reduced school meals Low-SEP
Hecke et al., 2016 Belgium (Brussels, Gent, Antwerp) To determine which social and physical environmental factors affect adolescents’ visitation and physical activity in Public Open Spaces in low-income neighborhoods. Qualitative, interviews, thematic analysis 30 adolescents from neighborhoods in Brussels, Ghent and Antwerp, aged 12–16 (19 males, 11 females) Area level SEP
Low SES neighborhoods/communities selected based on population density, unemployment rates, welfare index and per capita income Low-SEP
Humbert et al., 2006 Canada To illuminate the factors that youth from low- and high-SES areas consider important to increase physical activity participation among their peers. Qualitative, focus groups, content analysis 160 adolescents from 2 schools in a midsized Canadian city, aged 12–18 (80 males, 80 females) Area/school level SEP
Demographic and social characteristics of the neighborhoods in which the schools were located
Low- and high-SEP
Jonsson et al., 2017 Sweden (Gothenberg) To illuminate factors that undermine the healthy habits of adolescents from a multicultural community with low socioeconomic status (S.E.S.) in Sweden with regard to physical activity (P.A.) and food, as stated in their own voices. Qualitative, focus groups, content analysis 53 adolescents from a school with a large number students from a foreign background, ages 12–13 (21 males, 32 females) Area level SEP
According to Swedish standards, based on average income, proportion of people of foreign origin, long-term financial assistance, long-term unemployment, low voter turnout, low educational level, poor self-reported health, and poor life expectancy Low-SEP
Jonsson et al., 2017 Sweden (Gothenberg) To illuminate what adolescents in a multicultural community of low socioeconomic status (SES) in Sweden convey concerning facilitators of PA. Qualitative, focus groups, content analysis 53 adolescents from a school with a large number students from a foreign background, ages 12–13 (21 males, 32 females) Area level SEP
According to Swedish standards, based on average income, proportion of people of foreign origin, long-term financial assistance, long-term unemployment, low voter turnout, low educational level, poor self-reported health, and poor life expectancy Low-SEP
Kiley and Robinson, 2016 Canada (Alberta) To investigate why-when female students attending an affluent private school opted out of PE class when they transitioned from middle school to senior high school and PE became optional. Qualitative, interview, transcription and coding Six adolescents in grade 10 enrolled in PE, aged 15–16 (6 females) School level SEP
Students attending a fee paying school (base tuition exceeding $17,000 per year) High-SEP
Loptson and Muhajarine, 2012 Canada (Saskatoon) To use qualitative methods to gain insight into the pathways linking the neighborhood environment with children's activity patterns. Qualitative, interview, coding list used for theme development 24 adolescents representing a range of residential neighborhood types, ages 10–14 (gender n/a) Area level SEP
Low-income neighborhoods were those with median household incomes below $50,000, and high-income neighborhoods were those with median household incomes above $85,000.
Low-, middle-, and high-SEP
Malijak et al., 2014 USA (Midwestern United States) To examine leaders' and students' perspectives on the challenges faced when implementing physical activity clubs. Qualitative, interviews, analysis conducted using The Population-Based Health Promotion Model 278 adolescents from 14 high schools in an urban inner city school district, ages 14–18 (gender n/a) School level SEP
Schools in a low-socioeconomic district (approximately 85% of the district received free/reduced price school meals)
Low-SEP
Martins et al., 2018 Portugal (Lisbon) To explore and analyze the perspectives of physically active and inactive adolescent boys and girls with different socioeconomic status, regarding the meanings that PE had on their physical activity lifestyles throughout childhood and adolescence. Qualitative, interviews, thematic analysis 16 adolescents from two school in contrasting areas, aged 17–18 (8 males, 8 females) School level SEP
Based on the (Portuguese) National Institute of Statistics census (INE, 2003)
Low-SEP and middle-high-SEP
Quarmby, 2013 UK (West Midlands) To explore the discourses on which young people draw their understandings about health and whether family structure mediated individual agency. Qualitative study, group interviews, analytical framework based on an interpretive perspective Three adolescents chosen to represent contrasting views, ages 11–12 (1 male, 2 females) School and individual level SEP
IMD of school combined with familial and demographic information Low-SEP
Rivard, 2014 Canada (Quebec) To describe the perceptions and involvement of 19 participants (students and educators) on health issues within the context of the HSA in a low socioeconomic school in Quebec. Qualitative, focus groups, content analysis 12 adolescents with avoid average academic performance, ages 11–12 (gender n/a) School level SEP
Rated 9/10 on the socioeconomic environment index (EEI) as calculated by the Ministry (MEQ, 2003)
Low-SEP
Roberts, 2019 USA (Washington D.C) To use an intersectional framework, largely focusing on the race-gender-class trinity, to examine youth active travel within a context of transportation inequity. Qualitative, focus groups, content analysis 48 adolescents living in the Washington D.C., ages 12–15 (18 males, 30 females) Individual level SEP
Family Income Low-SEP
Schaillee et al., 2017 Belgium (Flanders) To understand the social mechanisms that allow developmental benefits to occur for this group (urban dance initiatives for disadvantaged girls). Qualitative, interviews, raw data units clustered into common and higher themes 25 adolescent females enrolled in urban dance program, ages 11–19 (25 females) Individual level SEP
Living conditions based on interview and survey data Low-SEP
Smyth et al., 2014 Australia To animate discussion around how social class operates with adolescent girls from low socio-economic status backgrounds to shape and inform their decisions about participation in physical activity (PA) inside and outside of school. Qualitative, group interviews and focus groups, transcripts were thematized using a process of ‘portraiture’ 138 adolescents in a single secondary school in Australia, ages 15–16 (138 females) School level SEP
Based on the Australian’s Socio-Economic Indexes for Areas (SEIFA) and Statistical Local Area (SLA) Index of Relative Socio-economic Advantage and Disadvantage Low-SEP
St. George and Wilson, 2012 USA To qualitatively explore the parenting context as well as specific family factors (support, rules, monitoring) and peer factors (support) related to weight status, physical activity (PA), and healthy eating in low-income African-American boys versus girls. Qualitative, focus groups, bioecological framework used for analysis 45 African American adolescents, 51% overweight/obese, age 11–13 (22 males, 23 females) Area level SEP
Two underserved communities in South Carolina
(median income?≈?$17,000–$22,000, high crime levels) Low-SEP
Sweeney and Von Hagen, 2016 USA (New Jersey) To identify similarities and differences in parents' and children's perceptions of the environment that surrounds travel to and from school, how these perceptions form, and how they influence travel mode choice to and from school. Qualitative, interviews, content and thematic analysis 48 adolescents from three New Jersey communities, aged 11–14 (22 males, 26 females) Family Income
Median household income ($)
School 1–78,821
School 2–78,625
School 3–89,99
Middle-SEP
Wilson et al., 2005 USA (South Carolina) To identify preferences for physical activity (PA) and motivational themes for increasing PA in underserved adolescents. Qualitative, focus groups, content analysis 51 adolescents, primarily African American, aged 10–13 (25 males, 26 females) School level SEP
Adolescents who received free/reduced school meals Low-SEP
Wright et al., 2010 USA (South Carolina) To assess how parental role modeling and parental social support influence physical activity in underserved (minority, low-income) adolescents. Qualitative, focus groups, content analysis 52 adolescents, primarily African American, aged 10–14 (22 males, 30 females) School level SEP
87% free or reduced school lunch program Low-SEP

Note: This table presents the characteristics of included studies.

Studies generally focused on younger adolescents, with 18 studies reporting a mean sample age of <14y. Four studies focused on female physical activity with the remaining articles focusing on both genders. We categorised studies by SEP using the original definitions provided in each paper, these broadly fell under three categories: low-SEP, middle-SEP and high-SEP. Studies largely focused on adolescents with a low-SEP (n=19), four studies contrasted different SEPs and the remaining two studies included adolescents of a high- and middle-SEP.

3.3. Quality assessment

Table 2 presents the summary ratings for the quality assessment. Included studies were all of high quality. Notable limitations were that 48% of studies did not report considering the relationship between the researcher and the participant and 24% of studies failed to provide a reflection on the key ethical challenges.

3.4. Results of the thematic syntheses

Four analytical themes were identified: (1) Social Support (2) Accessibility and the Environment (3) Experiences of Health and Other Behaviours and (4) Gendered Experiences. Please see supporting information table S1, which documents how codes where developed into descriptive and then analytical themes. These themes appeared across socioeconomic groups, however the way in which they supported or prevented engagement in physical activity differed by SEP. A summary of the themes by SEP can be found in Table 4.

Table 4. A summary and synthesis of analytical theme by SEP.

Theme Findings per SEP Synthesis
Low Middle High
Social support
Barriers
  • lack of financial support
  • lack of support for transportation
  • physical activity not valued by family
  • unstable and changing family structure
Facilitators
  • parental support
  • changing family structure
  • support from teachers
  • support from friends
Barriers
  • less opportunities to commute actively
Facilitators
  • financial support
Barriers
  • academic pressure
  • peer pressure
Facilitators
  • financial support
  • participating with friends
  • sport club membership
  • parental support
  • participating as a family
Across socioeconomic groups parents were perceived as a barrier to physical activity. Low-SEP adolescents attributed this to a lack of time and money and the prioritization of other aspects of life. Middle-SEP parents facilitated less active modes of transport and high-SEP parents prioritized academia. There were stark differences in family participation. Middle/high-SEP adolescents frequently mentioned a “whole family” approach to physical activity. This was not the case for low-SEP adolescents who were more reliant on the support from teachers, coaches and friends. Peer support was important facilitator across all groups, especially for making physical activity more enjoyable.
Accessibility and the environment
Barriers
  • Lack of/poor quality facilities in local neighborhood
  • Quality and safety of public transport
  • Poor school facilities and activity provision
Facilitators
  • Local community centers
Barriers n/a Facilitators
  • Good facility provision in local neighborhood
  • Access to the countryside
  • Neighborhood safety
Barriers n/a Facilitators
  • Good facility provision in local neighborhood and school
  • Variety of school provision
  • Access to the countryside
Low-SEP adolescents' experiences of physical activity accessibility and the environment noticeably contrasted with those of middle- and high-SEP. Low-SEP adolescents discussed the limited provision of facilities in their local area, including transport, and the lack of safety. Middle- and high-SEP adolescents discussed their access to facilities in their local environment, safety and their access to countryside. High-SEP adolescents further describe the variety of physical activities they had access to at school.
Experiences of health and other behaviors
Barriers n/a Facilitators
  • Understanding of the health benefits of physical activity
  • Understanding of the environmental benefits of physical activity
Barriers
  • Prioritizing other behaviors
  • Social demands
    Facilitators n/a
Barriers
  • Prioritizing other behaviors
  • Lack of free time
    Facilitators n/a
The health benefit of physical activity was a dominant narrative among low-SEP adolescents, who discussed its positive impact on both long and short-term health. While middle- and high-SEP adolescents recognized the health benefits of physical activity, they tended to focus on other behaviors such as sleep, homework or social activities.
Gendered experiences
Barriers
  • Concerns about appearance (female)
  • Low self-esteem and anxiety (female)
  • Parental Stereotyping (female)
  • Lack of support from friends (female)
Facilitators
  • Sport which demonstrate skill (male)
  • Mixed-gender activities (male)
  • Same-gender activities (female)
Barriers
  • Competition (inactive males and females)
  • High intensity (inactive males)
    Facilitators n/a
Barriers
  • Pressure to perform in front of males (female)
Facilitators
  • Same-gender activities (female)
Gendered experiences focused on the female perspective. Low and high-SEP females explained their preference for a same-sex physical activity environment, however their reasons for this were different. In contrast, middle-SEP adolescents only reported gendered experiences when describing themselves as inactive. Both genders discussed a dislike of physical activity; males attributed this to disliking competitive high-intensity activities, whereas females disliked the pressure of team activities.

Note: This table summarizes each analytical theme by SEP.

The quotes presented below are verbatim. Ellipsis in italics were inserted by the authors of the original article, ellipsis in bold were inserted by the authors of this review to help keep quotes succinct.

3.4.1. Support for physical activity

Low-SEP adolescents

A lack of financial support was a commonly mentioned barrier to physical activity among low-SEP adolescents 3542 (e.g. ”my parents don’t have money… to have membership of a sport club”). 41 Low-SEP adolescents reported that the cost of physical activity made it difficult for them to participate, as it was an additional expense their parents could not afford. For many parents, providing the basics, including school uniform was a struggle, with physical activity viewed as a “non-essential” expense.35 In general, adolescents were accepting of this and understood that their parents could not provide them with physical activity opportunities requiring fees. However, some adolescents communicated a desire for their parents to be more proactive in signing them up for low or zero cost local activities, “I wish she would sign me up to play more things at the YMCA”. 43

A lack of transportation was another commonly mentioned barrier.4449 Adolescents explained how their parentsts' busy work schedules meant they were unable to pick them up from practice or after school clubs. This was compounded by the extra cost of owning and running a vehicle. Some adolescents discussed how their parents encouraged them to be active but did not have the time or financial resources to facilitate this.

“…my mum tries to like push me like to do activities to stay fit and like and for this school, like sixth period but she can’t always pick me up after and I can’t get a lift off anyone either” 49

Whilst it was clear that some parents desired their children to be active, many low-SEP adolescents suggested that physical activity was not valued by their family. 35,47,50 One participant described “Like, cos it’s important to live and stuff, but it’s not important to me or my family”.35 In the majority of studies, adolescents did not see this as problematic and were content with more sedentary activities. However, some desired more encouragement than they were currently receiving 40 and described how their parents prioritised other responsibilities, including household commitments and chores such as caring for younger siblings or working a part-time job. For example, “I have to do house work, make supper, and watch my little cousin all the time… so most of the time, I don’t get much time [for physical activity]” 51

For some, unstable and changing family structures influenced the amount of support they received.47 In a few instances, adolescents reminisced about how their family used to be active together, but the absence of one parent now made this difficult, “ Yeah, I used to go swimming every weekend … with my mum, I was like six or something, I was really young [but] I don’t know, mum spends a lot of time with my step dad now but I wouldn’t want to go anyway”. 47 Single parents were described as “pushed for time and money”, working multiple jobs to support their children.36,40,46 The addition of a step-parent also influenced the family dynamic, as adolescents perceived parents to become more partner-centric.43,47

Whilst narratives around support were primarily negative amongst low-SEP adolescents, there were some instances where support was described as facilitating physical activity. A few explained the great lengths their parents went to in supporting their physical activity involvement, which often came at the expense of their parents’ own activity.

“Harriet admitted that her parents weren’t as healthy as they could be, but sacrificed their own health enhancing activity so that they could cater for the needs of Harriet and her three siblings. They did this by actively encouraging her to engage in activities” 47

Changes in family structure could also act as a facilitator to physical activity. For some, gaining siblings or other family members helped them become more active, “When I lived at my dad’s place I just moped around but since I went to live with my sister I run around with my nieces” 43

Adolescents also identified sources of support which were external to their family. They stressed the importance of peers for companionship and enjoyment 41,47,50,52,53 (e.g.”For me it is all about playing with my friends and having fun; that’s the whole point36) and for practical support, including walking to/from practice and providing support with scheduling, “And my friends they text me every morning we have practice or when we gonna have a track meet”. 49 Teachers and coaches were reported to provide encouragement and information about physical activity. One student explained, “in PE lessons I was good in playing handball. My PE teacher invited me to the SS (School Sport) team and after that helped me to find a club, and that’s where I practise today”. 42 Many highlighted the activity opportunities provided to them by teachers or coaches, including links to school and community-based sports teams, field trips to farms and the use of school gardens. 50

Middle-SEP adolescents

Middle-SEP adolescents described how their parents would drive them to places rather than encourage them to engage in more active kinds of transport.54 Furthermore, not having friends to walk to school with added to the allure of being driven: “Mostly I’m driven in the morning but can walk home” 54

Financial support from parents to provide adolescents with mobile phones was commonly reported to facilitate physical activity.54,55 Owning a mobile phone “in case of an emergency” increased middle-SEP adolescents’ opportunities to be active.54 Although some were frustrated by the amount they had to check their phones, they understood it allowed them more freedom. Lastly, peer companionship was a perceived facilitator.42,54,55 Many reported the importance of having friends to be active with and indicated they would not be active if they could not participate with their friends.

“…if you go alone it’s not really fun, you get bored easily and you’re just walking around and then if you’re with friends you can just talk to them and walk around or go and play a game that you can’t really, like, play football by yourself or go play basketball by yourself, so it’s not as fun as with a bunch of people” 55

High-SEP adolescents

Amongst high-SEP adolescents, parental encouragement to “opt out” of physical activity, and focus on academic attainment/work, was often communicated as a barrier.42,56 In one study, all participants confirmed that their decision to opt out of school physical education (PE) was to focus on academic work.56 These adolescents felt that physical activity was nice to do, but achieving in “academic subjects” was a necessity and felt this kind of academic pressure was far greater in private schools.

“The way that I was raised and the way my parents think, they made me focus on academics … with athletics and arts sort of like they are great to have, but your main focus should be academics…” 56

This academic pressure extended to “CV building” activities. 56 Adolescents reported having little free time to be active amidst their other activities, such as volunteering or band practice. Parents were said to be responsible for timetabling, which acted as an instrumental barrier to becoming more active.

Peer pressure to “opt out” of physical activity was reported as an additional barrier.56,57 Numerous adolescents suggested they chose not to engage in school based physical activity or enroll in PE because their friends were not taking part, “I heard a lot of that…you are not taking it, so I don’t want to take it either”.57 Others discussed friends could help them become more active by being more supportive, '“I feel that honestly, if one of my friends had come out and said ‘I’m going to take it,’ there might have been a possibility that other people would have, a chain reaction maybe” 56

Whilst academic pressure was common amongst high-SEP adolescents, the narrative in this group tended to focus on the support they recieved to be active. Financial support from parents was a frequently mentioned facilitator.47,55,57 This support was required for specialised clothing, equipment and club membership, “My parents pay for it (specialized clothing and equipment) so I suppose without their help I wouldn’t be able to attend my training sessions”.47 Furthermore, participating with friends was reported to make physical activity more enjoyable. 36,41,55,56

High-SEP adolescents explained how their parents encouraged them towards certain types of physical activity. These activities took the form of organised sports clubs where parents were also involved 41,56, “I got involved (in netball) because my sister used to do it when she was young… I used to go and watch her … it looked good fun”.41 Parental transport was a facilitator for many adolescents.41 Parents often stayed for the duration of the sports practice or match, offering further support and encouragement.47 Participation in family activities such as walks in the countryside were also frequently mentioned.41,55

Comparing and contrasting across the socioeconomic groups

Support for physical activity was identified as a key theme, however its role differed by SEP. Adolescents reported their parents to have the largest influence over their activity behaviour, but for many parents physical activity was low on their list of priorities. For low-SEP adolescents, this was due to a lack of time and money and the prioritisation of other aspects of life e.g. spending time with a partner or needing their child to help around the house. For middle-SEP adolescents this was due to their parent’s prioritisation of less active modes of transport, and for high-SEP adolescents due to their parent’s prioritisation of academia.

One of the starkest differences across socioeconomic groups was family participation. Middle/high-SEP adolescents frequently mentioned a ‘whole family’ approach to physical activity. This was not the case for low-SEP adolescents who were more reliant on support from teachers and coaches.

Peer support was an important facilitator across all groups, especially for making physical activity more enjoyable. In addition, low-SEP adolescents relied on their friends for additional kinds of support e.g. scheduling reminders.

3.4.2. Physical activity accessibility and the environment

Low-SEP adolescents

Low-SEP adolescents commonly mentioned the limited provision of facilities in their local neighbourhood.3537,41,45,52,57 and often referred to facilities outside their local area, in more affluent neighbourhoods.

“There aren’t many options within our community. There’s some martial arts, but that’s it.” Another low-SES student commented, “There’s no place like that around here, we have to go to the other side of town” 36

Adolescents’ access to these facilities was impacted by the quality and safety of local public transport. Many described fear and anxiety around modes of transport such as taking the bus.36,45,46,48 They felt unsafe waiting at a bus stop, especially in the dark, and reported negative experiences such as theft and fighting, “I try to stay away from the bus cuz my phone got snatched while I was standing at the bus stop. … There are too many fights on the bus and kids causing unnecessary trouble”. 46 Others discussed how they regularly watched other bus riders being assaulted. The unreliability of public transport acted as a further barrier. At busy times, adolescents could not guarantee there would be space for them on the bus. Others needed to get multiple buses due to the distance they lived from the facility.

Adolescents described the appearance and quality of local facilities they could access as poor.36,45 Poor maintenance, vandalism and litter were common themes, for example: “Better basketball courts are needed around the community … they are all chain link fence, with no nets, and broken cement”.36 Adolescents felt these barriers would persist even if they were provided with better facilities, “If we had a nice weight room, people would steal the weights, and the room would get trashed. People wouldn’t respect it”. 36

Lack of/poor quality facilities meant many low-SEP adolescents took to being active in the streets around where they lived. However, this presented them with additional barriers. Safety concerns in their local area were commonly mentioned, with adolescents reporting shootings, kidnapping, theft and loose animals.44,52,55,57 Further frustration was voiced about traffic interrupting their physical activity and the risk of getting run over.57 Adolescents also expressed concerns about residents’ intimidating behaviours including drinking and taking drugs.

“I think it is a bit scary when there are people lying on the ground with booze …There are also sometimes people doing drugs here. This is why I would not come here in the evening …” 45

In addition to their local environment and facility access, low-SEP adolescents reported that similar barriers existed in their school environment.41,46,57,58 This included a lack of school facilities leading to limited physical activity options and opportunities, or a complete absence of physical activity in their school.40,42 “My school hasn’t got playing fields so we are limited to what we can do in terms of sports and playing”. 41

Whilst narratives about the lack of and poor quality of local facilities were far more common, some low-SEP adolescents stressed the facilitating role of local community centres and the provision of free physical activity opportunities,41 “I don’t want to stop boot camp now because I don’t want the weight to come back on. I can go for free because I am under 16 so I don’t have to pay”. 43

Middle-SEP adolescents

Middle-SEP adolescents were extremely positive about their local environment and their access to facilities.42,54,55 Many discussed the extensive provision of local facilities and their access to the countryside, reporting adolescents in their area to be very active as a result. Adolescents also emphasised the importance of neighbourhood safety as it meant their parents allowed them more freedom.

“The kids around here are very active because there’re so many parks around here and it’s a really nice neighbourhood…It’s one of the most safe neighbourhoods, so I could walk outside, like really late at night” 55

High-SEP adolescents

A common narrative among high-SEP adolescents was the variety of physical activities they had access to, at school and in their local neighbourhoods.36,42,55,56 School provision covered activities ranging from team sports such as basketball, rugby and hockey to more exclusive activities including ski trips and mountain biking. One adolescent explained, “the school has links with a lot of clubs so it is easier to join”.41 Adolescents discussed how their schools promoted physical activity outside of school hours by encouraging their students to join sports clubs.41

Regarding their local neighbourhood, high-SEP adolescents explained how where they lived facilitated their involvement in physical activity.55 This included their access to the countryside and the provision of sports clubs and facilities in their local area.36,41

“I think this area (around School A) gives plenty of opportunity to take part in physical activity, there is a local swimming pool… plenty of parks to play football… tennis courts… plenty of local private clubs…”41

Comparing and contrasting across socioeconomic groups

Low-SEP adolescents’ experiences of physical activity accessibility and the environment noticeably contrasted with those of middle- and high-SEP. Low-SEP adolescents discussed the limited provision of facilities in their local area, how poor public transport impacted their ability to access facilities elsewhere and how the facilities they could access were of a low quality. Further barriers existed when discussing their local environment, where they perceived the streets to be unsafe due to concerns about crime, traffic and the behaviour of other residents including drinking and taking drugs. The provision and access to school facilities appeared largely the same.

By comparison, middle- and high-SEP adolescents positively discussed their access to physical activity facilities and their environment. Both groups described the extensive provision of the physical activity facilities in their local area, their access to the countryside and the safety of their local area. High-SEP adolescents further describe the variety of physical activities they had access to at school.

3.4.3. Experiences of health and other behaviours

Low-SEP adolescents

Among low-SEP adolescents there was some confusion around the definition of physical activity, e.g. “playing video games by using fingers makes your hands tired”.57 However, in general low-SEP adolescents discussed their understanding of the health benefits of physical activity as a facilitator and communicated a good understanding of the mental and physical health benefits.40,48,50 Burning calories was a frequently reported motivator which encouraged adolescents to engage in physical activity,43,48 “If you walk, like maybe a mile or two to the nearest grocery store, you lose calories”. 48 Low-SEP adolescents also described how being active was good for the environment and reported this to further facilitate their motivation to be active: “…trying to be more active for the environment … and help with environment and pollution and stuff like that and health-wise”.48 Physical activity was positively discussed in relation to mood, with active individuals perceived to be happier.43,58

Middle-SEP adolescents

There was little discussion around the health benefits of physical activity among middle-SEP adolescents. Other behaviours were discussed to take priority54 and physical activity was viewed as a barrier to these. Other engagements were also discussed as a barrier to physical activity and included new social demands and changing groups of friends.42,54

High-SEP adolescents

The health benefits of being active were recognised by high-SEP adolescents, however physical activity was viewed as a barrier to other behaviours which adolescents prioritised. Free time was discussed as a limited commodity due to academic and extra-curricular demands and time which was considered valuable for activities such as sleep or getting caught up on homework.36,42,56

Comparing and contrasting across socioeconomic groups

The health benefit of physical activity was a dominant narrative among low-SEP adolescents, who discussed its positive impact on both long and short-term health as a facilitator. This was not the case for middle- and high-SEP adolescents who saw physical activity as a barrier to other behaviours.

3.4.4. Gendered experiences

Low-SEP adolescents

Low-SEP adolescents considered how their gender acted as a barrier to or facilitator of physical activity. When discussing physical activity, females voiced concerns about their appearance, body image and self-confidence.38,42,58 For some girls, reports of bullying and attacks on their weight lead to negative experiences of physical activity.

“I don’t like PE because I am self-conscious and a lot of the boys hang things on you. When my friend Sally is running and that, the boys say that is gross.” 43

Low-SEP adolescents also reported low self-esteem and anxiety around physical activity.38,58 When considering why female peers were inactive, low-SEP adolescents discussed their concerns about appearance, not wanting to ruin their makeup and hair and not wanting to get sweaty, “They only care about makeup, if their makeup would go away, if they get sweaty and their mascara goes away”. 38 This acted as a barrier to low-SEP adolescent females engaging in physical activity. Females also voiced concerns about being objectified and stranger danger.45,48 This was reinforced by the parents of adolescent girls, who were reported to discourage their daughters from engaging in active transport for the afore mentioned reasons.48

Gendered parental attitudes extended beyond active transport, with parents reported to place unequal demands on females when it came to household chores and homework, leaving them less time to be active.36,38,44,58 Adolescents also spoke of how their parents viewed sport as “not for girls” and how females had fewer opportunities to be active due to a lack of female role models and activity provision, “There is more for boys; soccer, for example, that is a sport for boys, I think…You see more guys playing soccer on TV.” 37

Linking with themes around stereotyping, low-SEP females felt insufficiently supported by their family to be physically active.38 They also reported a desire for their friends to be more supportive.49 However, this was not the case for males, who expressed satisfaction with the support they received from peers and felt encouraged to be active by their parents and relatives.38,59

Low-SEP males described sports where they could demonstrate skill to facilitate their likelihood to engage in physical activity, “If the whole thing was sports, I would go”, “Oh, like if I practise a lot, I want to show it off.” 51 This aligned with the perceptions of females, who discussed how they disliked being physically active with boys, as they were only interested in performing and showing off, “Boys want to be ball hogs…”, “Boys think they can do things better than girls.”51 Whilst females voiced a preference for participating in physical activity with other females, males did not have the same preference and enjoyed mixed-gender activities,51 “I think it should be good to do it with girls in the group because they know all the stuff.” 51

Middle-SEP adolescents

Among middle-SEP adolescents, it was those who described themselves as inactive who discussed gendered experiences.42 Less active adolescents tended to have lower perceptions of competence, which they related to decreased enjoyment of physical activity and PE. Inactive males reported disliking competition and high-intensity activities. Whereas inactive females disliked competitive team activities, because they felt the pressure to win limited opportunities to learn and have fun.

“I didn’t like any of the middle school PE activities. It was all so boring. We have to dress up in those gym clothes, and then run. Those lessons were too intense, we sweat and I didn’t like it. I wasn’t good at doing all those activities so I never tried that hard. It was too competitive and not important to me.”42

High-SEP adolescents

Gendered experiences among high-SEP adolescents focused on the female perspective.42,56 Females indicated they had a preference for same gender activities, as male peers could be intimidating. High-SEP females discussed feelings of discomfort and pressure to perform in front of male peers.

"The whole performing in front of boys, playing with boys is another factor. Some people have a huge problem with that and even though you are separated in grade 7-9, I don’t think that’s long enough." 56

The preference for a female only environment extended to school staff; with high-SEP females suggesting this helped them feel more comfortable whilst being active.

“I don’t think I would be comfortable doing it [PE] with the boys and I think it is better having a girl as a teacher because you feel more comfortable doing the exercises…” 56

Comparing and contrasting across socioeconomic groups

Gendered experiences of physical activity were discussed across socioeconomic groups, with a focus on the female experience. Low- and high-SEP females explained their preference for a same-sex physical activity environment, however their reasons for this were different. Low-SEP females disliked being active with male peers due to their focus on performance and showing off. High-SEP females, on the other hand, disliked the presence of males, as they felt pressured to perform and found males to be intimidating. Low-SEP females reported further barriers to participation, including anxiety around body image, feeling self-conscious and parental imposed gender stereotypes.

In contrast, middle-SEP adolescents only reported gendered experiences when describing themselves as inactive. Both genders discussed a dislike of physical activity; males attributed this to disliking competitive high-intensity activities, whereas females disliked the pressure of team activities.

4. Discussion

This review thematically synthesises 25 papers reporting the barriers to and facilitators of physical activity among adolescents of different socioeconomic backgrounds. Four common themes were identified across studies covering all levels of the socio-ecological model: (1) social support (2) accessibility and the environment (3) experiences of health and other behaviours, and (4) gendered experiences. However, how these themes were discussed as barriers or facilitators to physical activity varied by SEP. Included studies focused on low-SEP adolescents, who reported experiencing more barriers to physical activity participation. Promoting and enabling physical activity among this group, therefore, is more pertinent and will form the focus of this discussion, with the experiences of middle and high-SEP adolescents used as contrasting points of view.

Lack of social support was described as a key barrier to participating in physical activity, this was especially felt by low-SEP adolescents who experienced an absence of parental support. Previous findings align with the experiences of high-SEP adolescence, where an absence of parental support was due to parent’s prioritisation of academic success. 6062 Our findings add by expanding on the reasons adolescents might not feel sufficiently supported by their parents to be active. When discussing social support as a facilitator, low-SEP adolescents relied more heavily on external sources of support including friends, teachers and coaches. Whereas middle- and high-SEP adolescents focused on the support they received from their family. This demonstrates how the type of, and access to, support differs across socioeconomic groups. This has received little attention in current interventions, yet aligns with emergent evidence highlighting the disconnect between public health recommendations and the everyday realities for adolescents and their parents.63

In recent years, environmental influences on adolescent physical activity have received increasing attention.16,20,64 Our findings support quantitative evidence reporting physical activity participation to be lower among low-SEP adolescents due to fewer and worse recreational areas, longer distances to get to physical activity grounds and neighbourhood safety concerns.13,65,66 This review highlights the benefits middle- and high-SEP adolescents experience from having access to varied and high quality facilities in their local area.

Across the literature, adolescents from more affluent families are reported to have an increased knowledge of the health benefits associated with physical activity.13 Our findings contradict this, with low-SEP adolescents communicating a good understanding of the mental, physical and environmental benefits of being active. This suggests knowledge of the benefits of physical activity does not appear to be a barrier to participation in low-SEP adolescents.

As highlighted in previous literature, adolescents’ experiences of physical activity differed by gender, as well as SEP.67,68 Pressure to perform was a commonly reported barrier; low- and high-SEP females discussed how a female-only environment relieved this pressure, whilst middle-SEP males discussed competition as a barrier. Creating a low-pressure environment aligns with previous review findings, which report the value of a mastery motivation climate in adolescent PE lessons.16,69,70 Low-SEP females reported anxiety around body image, feeling self-conscious and parental imposed gender stereotypes. This aligns with commonly reported perceptions around the concept of being feminine and practicing physical activity (e.g. physical activity is not for girls).60,61,71,72 Among quantitative literature, body image anxiety is not a consensual correlate of physical activity.18,73 It is possible this is because previous literature has not considered socioeconomic differences. Our findings, however, support wider literature reporting perceptions of body image to be an important factor associated with female participation.7477

4.1. Strengths and limitations

This review responds to identified gaps in current evidence.16 As the first review to systematically assess socioeconomic difference in adolescents’ perspectives of the barriers to and facilitators of physical activity, we provide contextual information broadening current understanding of the relationship between SEP and physical activity during adolescence. Strengths include the use of multiple databases, systematic and rigorous review methods and the assessment of methodological quality. We acknowledge several limitations. Only peer-review studies published in English were included and this may have led to the exclusion of relevant articles. As there is no commonly agreed upon appraisal tool for qualitative research,78 we did not apply an exclusion criterion based on quality, but all included articles were deemed to be high in quality. In line with recommended methods,33 our data extraction included all data in the ‘Results’ section of each paper. As the data reported in these studies may have been selective or biased, this may have affected our synthesis. Furthermore, the majority of included studies used area-level indicators of SEP (neighbourhood or school level) as a proxy for individual-level SEP. This is common in adolescent literature where individual-level SEP is difficult to determine,9 but this may lead to the assumption of socioeconomic homogeneity within areas, raising the question of “ecological fallacy”. 13

4.2. Recommendations for future research

Going forward, more research is needed which considers how interventions can be developed to target the multi-level needs of different socioeconomic groups. Our review suggests this research should be focused towards low-SEP adolescents. Research exploring the impact of Covid-19 will help inform strategies to tackle underlying health inequalities linked with physical activity and childhood obesity that may have been exacerbated by the pandemic. Our review focused on high-income countries, we advocate conducting and reviewing qualitative research in low-to-middle-income countries to help inform intervention efforts in different contexts. Efforts should also be made to use appropriate measures of SEP,13 individual-level composite measures such as the Family Affluence Scale are potentially useful for this age group.79

4.3. Implications for Policy and Practice

Various policy documents have called for the development of effective strategies to increase physical activity in adolescents, to help halt or reverse the increase in obesity and improve other aspects of health.80 The convergence of the childhood obesity epidemic and the Covid-19 pandemic increases the urgency to respond to these recommendations and supporting those of low-SEP should be recognised as a priority.

This review identifies inequalities in barriers to and facilitators of physical activity across individual, social, environmental and societal levels and supports the ecological approach to behaviour change.81,82 To effectively promote physical activity, professionals should consider intervening on multiple levels whilst accounting for the contrasting needs of socioeconomic groups. Specific emphasis should be placed on inequalities in structural environmental or policy changes supporting increased facility provision and environmental regeneration in more deprived areas.

This review also highlights the public health potential of multicomponent approaches which include the family, by considering how parental factors and the home environment influence physical activity.16,63 For low-income families this involves considering parents’ lack of time and resources. Furthermore, this review highlights that PE professionals can have a significant role in creating physical activity opportunities and establishing links with the community, especially for low-SEP adolescents. In order to facilitate this, schools with a high proportion of low-SEP adolescents should be recognised by policy makers and public health professionals as having an important role to play in improving young people’s physical activity. 83 Peralta et al., 2019 suggest low-SEP schools achieve this through a whole school approach to overcome student inequality, with a focus on each of the three domains of the health-promoting schools framework: (1) health education in the curriculum; (2) changes to the school ethos and physical environment; and (3) involving families and/or communities to support health promotion. 84

In addition to SEP, intervention development and policy decisions should consider gender differences in this age group. Our findings support the need for continued investment in interventions targeted at females,16,85,86 which help challenge gender stereotypes and encourage positive perceptions of body image.

5. Conclusion

Adolescents’ perspectives of their experiences of common barriers to and facilitators of physical activity vary by SEP. Low-SEP adolescents focused primarily on the barriers they experienced to participating in physical activity, highlighting their status as a high-risk group. As we aim to build back from the Covid-19 pandemic, supporting those of low-SEP should be prioritised in order to tackle underlying inequalities linked with childhood obesity and protect the wellbeing of young people and their future health. 8

Supplementary Material

Supplementary Table 1
Supporting information

Acknowledgements

Olivia Alliott is funded by an NIHR School for Public Health Research studentship. Mairead Ryan is funded by an ESRC Doctoral Training Partnership award (ES/P000738/1). Hannah Fairbrother is funded through the NIHR School for Public Health Children, young people & families programme. The work of Esther van Sluijs is supported by the Medical Research Council (grant number MC_UU_00006/5). This work was undertaken under the auspices of the Centre for Diet and Activity Research (CEDAR) (grant number MR/K023187/1), a UKCRC Public Health Research Centre of Excellence. Funding from the British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, the National Institute for Health Research, and the Wellcome Trust, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged.

This study is supported by the National Institute for Health Research (NIHR) School for Public Health Research (SPHR) (Grant Reference Number PD-SPH-2015). The views expressed are those of the author(s) and not necessarily those of the NIHR.

Abbreviations

SEP

Socioeconomic Position

CASP

Critical Appraisal Skills Programme

US

United States

UK

United Kingdom

P.E

Physical Education

Footnotes

Potential conflicts of interest

The authors have declared that no competing interests exist.

References

  • 1.Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels:surveillance progress, pitfalls, and prospects. Lancet (London, England) 2012;2(9838):247–257. doi: 10.1016/S0140-6736(12)60646-1. [DOI] [PubMed] [Google Scholar]
  • 2.Cooper AR, Goodman A, Page AS, et al. Objectively measured physical activity and sedentary time in youth: the International children’s accelerometry database (ICAD) The international journal of behavioral nutrition and physical activity. 2015;12:113. doi: 10.1186/s12966-015-0274-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Reilly JJ. Physical activity and obesity in childhood and adolescence. Lancet (London, England) 2005;366(9482):268–269. doi: 10.1016/S0140-6736(05)66838-9. [DOI] [PubMed] [Google Scholar]
  • 4.Dinsa GD, Goryakin Y, Fumagalli E, Suhrcke M. Obesity and socioeconomic status in developing countries: a systematic review. Obes Rev. 2012;13(11):1067–1079. doi: 10.1111/j.1467-789X.2012.01017.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wang Y, Lim H. The global childhood obesity epidemic and the association between socioeconomic status and childhood obesity. Int Rev Psych. 2012;24(3):176–188. doi: 10.3109/09540261.2012.688195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mayor S. Socioeconomic disadvantage is linked to obesity across generations, UK study finds. British Medical Journal Publishing Group; 2017. [DOI] [PubMed] [Google Scholar]
  • 7.Ng K, Cooper J, McHale F, Clifford J, Woods C. Barriers and facilitators to changes in adolescent physical activity during COVID-19. BMJ open sport exercise medicine. 2020;6(1):e000919. doi: 10.1136/bmjsem-2020-000919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Patterson RR, Sornalingam S, Cooper M. Consequences of covid-19 on the childhood obesity epidemic. BMJ: British Medical Journal. 2021;373 doi: 10.1136/bmj.n953. [DOI] [PubMed] [Google Scholar]
  • 9.Galobardes B, Lynch J, Smith GD. Measuring socioeconomic position in health research. British medical bulletin. 2007;81(1):21. doi: 10.1093/bmb/ldm001. [DOI] [PubMed] [Google Scholar]
  • 10.Sherar LB, Griffin TP, Ekelund U, et al. Association between maternal education and objectively measured physical activity and sedentary time in adolescents. Journal of epidemiology and community health. 2016;70(6):541–548. doi: 10.1136/jech-2015-205763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gidlow C, Johnston LH, Crone D, Ellis N, James D. A systematic review of the relationship between socio-economic position and physical activity. Health Educ J. 2006;65(4):338–367. [Google Scholar]
  • 12.Juneau C, Benmarhnia T, Poulin A, Côté S, Potvin L. Socioeconomic position during childhood and physical activity during adulthood: a systematic review. International journal of public health. 2015;60(7):799–813. doi: 10.1007/s00038-015-0710-y. [DOI] [PubMed] [Google Scholar]
  • 13.Stalsberg R, Pedersen AV. Effects of socioeconomic status on the physical activity in adolescents: a systematic review of the evidence. Scandinavian journal of medicine science in sports. 2010;20(3):368–383. doi: 10.1111/j.1600-0838.2009.01047.x. [DOI] [PubMed] [Google Scholar]
  • 14.Borde R, Smith JJ, Sutherland R, Nathan N, Lubans DR. Methodological considerations and impact of school-based interventions on objectively measured physical activity in adolescents: a systematic review and meta-analysis. Obesity reviews : an official journal of the International Association for the Study of Obesity. 2017;18(4):476–490. doi: 10.1111/obr.12517. [DOI] [PubMed] [Google Scholar]
  • 15.Golden SD, Earp JAL. Social ecological approaches to individuals and their contexts: twenty years of health education behavior health promotion interventions. Health Educ Behav. 2012;39(3):364–372. doi: 10.1177/1090198111418634. [DOI] [PubMed] [Google Scholar]
  • 16.Martins J, Marques A, Sarmento H, Carreiro da Costa F. Adolescents’ perspectives on the barriers and facilitators of physical activity: a systematic review of qualitative studies. Health education research. 2015;30(5):742–755. doi: 10.1093/her/cyv042. [DOI] [PubMed] [Google Scholar]
  • 17.Van Der Horst K, Paw MJ, Twisk JW, Van Mechelen W. A brief review on correlates of physical activity and sedentariness in youth. Med Sci Sports Exerc. 2007;39(8):1241–1250. doi: 10.1249/mss.0b013e318059bf35. [DOI] [PubMed] [Google Scholar]
  • 18.Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW. Correlates of physical activity: why are some people physically active and others not? Lancet (London, England) 2012;380(9838):258–271. doi: 10.1016/S0140-6736(12)60735-1. [DOI] [PubMed] [Google Scholar]
  • 19.Sallis JF, Prochaska JJ, Taylor WC. A review of correlates of physical activity of children and adolescents. Med Sci Sports Exerc. 2000;32(5):963–975. doi: 10.1097/00005768-200005000-00014. [DOI] [PubMed] [Google Scholar]
  • 20.Biddle S, Atkin A, Cavill N, Foster C. Correlates of physical activity in youth: a review of quantitative systematic reviews. International Review of Sport and Exercise Psychology. 2011;4(1):25–49. [Google Scholar]
  • 21.Sallis JF, Owen N. Physical activity and behavioral medicine. SAGE publications; 1998. [Google Scholar]
  • 22.Glanz K, Rimer BK, Viswanath K. Health behavior and health education: theory, research, and practice. John Wiley Sons; 2008. [Google Scholar]
  • 23.O’Sullivan M, MacPhail A. Young people’s voices in physical education and youth sport. Routledge; 2010. [Google Scholar]
  • 24.Allender S, Cowburn G, Cavill N, Foster C, Pearce Smith N. Physical activity and children: review 3: the views of children on the barriers and facilitators to participation in physical activity: a review of qualitative studies. 2007 [Google Scholar]
  • 25.Tong A, Flemming K, McInnes E, Oliver S, Craig J. Enhancing transparency in reporting the synthesis of qualitative research: ENTREQ. BMC medical research methodology. 2012;12:181. doi: 10.1186/1471-2288-12-181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Sankar UV, Kutty VR, Anand T. Measuring childhood socioeconomic position in health research: Development and validation of childhood socioeconomic position questionnaire using mixed method approach. Health promotion perspectives. 2019;9(1):40. doi: 10.15171/hpp.2019.05. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G. Indicators of socioeconomic position (part 1) Journal of epidemiology and community health. 2006;60(1):7–12. doi: 10.1136/jech.2004.023531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kelly P, Williamson C, Niven AG, Hunter R, Mutrie N, Richards J. Walking on sunshine: scoping review of the evidence for walking and mental health. British journal of sports medicine. 2018;52(12):800–806. doi: 10.1136/bjsports-2017-098827. [DOI] [PubMed] [Google Scholar]
  • 29.Organization WH. Adolescent Health. 2021. https://www.who.int/health-topics/adolescent-health#tab=tab_1 .
  • 30.Programme CAS. CASP (Qualitative) Checklist. 2018. [Accessed 3rd January 2021]. https://casp-uk.net/wp-content/uploads/2018/01/CASP-Qualitative-Checklist-2018.pdf .
  • 31.Hannes K, Lockwood C, Pearson A. A comparative analysis of three online appraisal instruments’ ability to assess validity in qualitative research. Qualitative health research. 2010;20(12):1736–1743. doi: 10.1177/1049732310378656. [DOI] [PubMed] [Google Scholar]
  • 32.Toye F, Seers K, Allcock N, et al. ‘Trying to pin down jelly’-exploring intuitive processes in quality assessment for meta-ethnography. BMC medical research methodology. 2013;13:46. doi: 10.1186/1471-2288-13-46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Thomas J, Harden A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC medical research methodology. 2008;8:45. doi: 10.1186/1471-2288-8-45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Barnett-Page E, Thomas J. Methods for the synthesis of qualitative research: a critical review. BMC medical research methodology. 2009;9:59. doi: 10.1186/1471-2288-9-59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Charlton R, Gravenor MB, Rees A, et al. Factors associated with low fitness in adolescents--a mixed methods study. BMC public health. 2014;14:764. doi: 10.1186/1471-2458-14-764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Humbert ML, Chad KE, Spink KS, et al. Factors that influence physical activity participation among high-and low-SES youth. Qualitative health research. 2006;16(4):467–483. doi: 10.1177/1049732305286051. [DOI] [PubMed] [Google Scholar]
  • 37.Jonsson L, Berg C, Larsson C, Korp P, Lindgren E-C. Facilitators of Physical Activity: Voices of Adolescents in a Disadvantaged Community. International journal of environmental research and public health. 2017;14(8) doi: 10.3390/ijerph14080839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Jonsson L, Larsson C, Berg C, Korp P, Lindgren EC. What undermines healthy habits with regard to physical activity and food? Voices of adolescents in a disadvantaged community. International journal of qualitative studies on health and well-being. 2017;12:12. doi: 10.1080/17482631.2017.1333901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Mooney A, Casey M, Smyth J. ‘You’re no-one if you’re not a netball girl’: rural and regional adolescent girls’ negotiation of physically active identities. Annals of Leisure Research. 2012;15(1):19–37. [Google Scholar]
  • 40.Wright MS, Wilson DK, Griffin S, Evans A. A qualitative study of parental modeling and social support for physical activity in underserved adolescents. Health education research. 2010;25(2):224–232. doi: 10.1093/her/cyn043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Dagkas S, Stathi A. Exploring social and environmental factors affecting adolescents’ participation in physical activity. European Physical Activity Education Review. 2007;13(3):369–384. [Google Scholar]
  • 42.Martins J, Marques A, Rodrigues A, Sarmento H, Onofre M, da Costa FC. Exploring the perspectives of physically active and inactive adolescents: how does physical education influence their lifestyles. Sport Educ Soc. 2018;23(5):505–519. [Google Scholar]
  • 43.Smyth J, Mooney A, Casey M. Where has class gone? The pervasiveness of class in girls’ physical activity in a rural town. Sport Educ Soc. 2014;19(1):1–18. [Google Scholar]
  • 44.Cooky C. “GIRLS JUST AREN’T INTERESTED”: THE SOCIAL CONSTRUCTION OF INTEREST IN GIRLS’ SPORT. Sociological Perspectives. 2009;52(2):259–283. [Google Scholar]
  • 45.Hecke Lv, Deforche B, Dyck Dv, Bourdeaudhuij Id, Veitch J, Cauwenberg Jv. Social and physical environmental factors influencing adolescents’ physical activity in urban Public Open Spaces: a qualitative study using walk-along interviews. PloS one. 2016;11(5):e0155686. doi: 10.1371/journal.pone.0155686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Maljak K, Garn A, McCaughtry N, et al. Challenges in Offering Inner-City After-School Physical Activity Clubs. Am J Health Educ. 2014;45(5):297–307. [Google Scholar]
  • 47.Quarmby T. Exploring the role of the family in the construction of young people’s health discourses and dispositions. Educ Rev. 2013;65(3):303–320. [Google Scholar]
  • 48.Roberts JD, Mandic S, Fryer CS, Brachman ML, Ray R. Between Privilege and Oppression: An Intersectional Analysis of Active Transportation Experiences Among Washington DC Area Youth. International journal of environmental research and public health. 2019;16(8):18. doi: 10.3390/ijerph16081313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.St George SM, Wilson DK. A qualitative study for understanding family and peer influences on obesity-related health behaviors in low-income African-American adolescents. Childhood obesity (Print) 2012;8(5):466–476. doi: 10.1089/chi.2012.0067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Anderson Steeves ET, Johnson KA, Pollard SL, et al. Social influences on eating and physical activity behaviours of urban, minority youths. Public Health Nutr. 2016;19(18):3406–3416. doi: 10.1017/S1368980016001701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Wilson DK, Williams J, Evans A, Mixon G, Rheaume C. Brief report: a qualitative study of gender preferences and motivational factors for physical activity in underserved adolescents. Journal of pediatric psychology. 2005;30(3):293–297. doi: 10.1093/jpepsy/jsi039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Blanton JE, Oregon EM, Flett MR, Gould DR, Pfeiffer KA. The Feasibility of Using Nature-Based Settings for Physical Activity Programming: Views from Urban Youth and Program Providers. Am J Health Educ. 2013;44(6):324–334. [Google Scholar]
  • 53.Boshoff K, Dollman J, Magarey A. An investigation into the protective factors for overweight among low socio-economic status children. Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals. 2007;18(2):135–142. doi: 10.1071/he07135. [DOI] [PubMed] [Google Scholar]
  • 54.Sweeney SM, Von Hagen LA. Stranger Danger, Cell Phones, Traffic, and Active Travel to and from Schools Perceptions of Parents and Children. Transp Res Record. 2016;(2582):1–7. [Google Scholar]
  • 55.Loptson K, Muhajarine N. Walkable for whom? Examining the role of the built environment on the neighbourhood-based physical activity of children. Canadian Journal of Public Health. 2012;103(Suppl 3):S29–S34. doi: 10.1007/BF03403832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Kiley J, Robinson DB. Exploring the factors that influence female students’ decision to (not) enroll in elective physical education: A private school case study. Alberta Journal of Educational Research. 2016;62(1):19–38. [Google Scholar]
  • 57.Duck AA, Robinson JC, Stewart MW. Adults’ and children’s perceptions of barriers and facilitators of school-aged children’s physical activity in an inner-city urban area. J Spec Pediatr Nurs. 2020;25(1):9. doi: 10.1111/jspn.12278. [DOI] [PubMed] [Google Scholar]
  • 58.Rivard MC, Deslandes R. Engagement of educators and parents in students’ health education in a low socioeconomic school in Quebec: A case study. Health Educ J. 2013;72(5):537–544. [Google Scholar]
  • 59.St George SM, Wilson DK. A qualitative study for understanding family and peer influences on obesity-related health behaviors in low-income African-American adolescents. Childhood Obesity. 2012;8(5):466–476. doi: 10.1089/chi.2012.0067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Craike M, Symons C, Zimmermann JA. Why do young women drop out of sport and physical activity? A social ecological approach. Annals of Leisure Research. 2009;12(2):148–172. [Google Scholar]
  • 61.Slater A, Tiggemann M. “Uncool to do sport”: A focus group study of adolescent girls’ reasons for withdrawing from physical activity. Psychology of sport and exercise. 2010;11(6):619–626. [Google Scholar]
  • 62.Belanger M, Casey M, Cormier M, et al. Maintenance and decline of physical activity during adolescence: insights from a qualitative study. The international journal of behavioral nutrition and physical activity. 2011;8:117. doi: 10.1186/1479-5868-8-117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Shaw S, Simao SC, Jenner S, et al. Parental perspectives on negotiations over diet and physical activity: how do we involve parents in adolescent health interventions. Public Health Nutr. 2021:1–10. doi: 10.1017/S1368980021000458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.De Vet E, De Ridder D, De Wit J. Environmental correlates of physical activity and dietary behaviours among young people: a systematic review of reviews. Obes Rev. 2011;12(5):e130–e142. doi: 10.1111/j.1467-789X.2010.00784.x. [DOI] [PubMed] [Google Scholar]
  • 65.Holt NL, Cunningham C-T, Sehn ZL, Spence JC, Newton AS, Ball GD. Neighborhood physical activity opportunities for inner-city children and youth. Health place. 2009;15(4):1022–1028. doi: 10.1016/j.healthplace.2009.04.002. [DOI] [PubMed] [Google Scholar]
  • 66.Gordon-Larsen P, Nelson MC, Page P, Popkin BM. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics. 2006;117(2):417–424. doi: 10.1542/peds.2005-0058. [DOI] [PubMed] [Google Scholar]
  • 67.Dumith SC, Gigante DP, Domingues MR, Kohl HW., 3rd Physical activity change during adolescence: a systematic review and a pooled analysis. International journal of epidemiology. 2011;40(3):685–698. doi: 10.1093/ije/dyq272. [DOI] [PubMed] [Google Scholar]
  • 68.Kallio J, Hakonen H, Syväoja H, et al. Changes in physical activity and sedentary time during adolescence: Gender differences during weekdays and weekend days. Scandinavian journal of medicine & science in sports. 2020;30(7):1265–1275. doi: 10.1111/sms.13668. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Leahy D, Burrows L, McCuaig L, Wright J, Penney D. School health education in changing times: Curriculum, pedagogies and partnerships. Routledge; 2015. [Google Scholar]
  • 70.Braithwaite R, Spray CM, Warburton VE. Motivational climate interventions in physical education: A meta-analysis. Psychology of Sport and Exercise. 2011;12(6):628–638. [Google Scholar]
  • 71.Whitehead S, Biddle S. Adolescent girls’ perceptions of physical activity: A focus group study. European Physical Activity Education Review. 2008;14(2):243–262. [Google Scholar]
  • 72.Yungblut HE, Schinke RJ, McGannon KR. Views of adolescent female youth on physical activity during early adolescence. Journal of sports science & medicine. 2012;11(1):39–50. [PMC free article] [PubMed] [Google Scholar]
  • 73.Biddle S, Whitehead S, O’Donovan T, Nevill M. Correlates of Participation in Physical Activity for Adolescent Girls: A Systematic Review of Recent Literature. Journal of Physical Activity and Health. 2005;2:423–434. [Google Scholar]
  • 74.Brooks F, Magnusson J. Physical activity as leisure: The meaning of physical activity for the health and well-being of adolescent women. Health care for women international. 2007;28(1):69–87. doi: 10.1080/07399330601003499. [DOI] [PubMed] [Google Scholar]
  • 75.Ries AV, Gittelsohn J, Voorhees CC, Roche KM, Clifton KJ, Astone NM. The environment and urban adolescents’ use of recreational facilities for physical activity: a qualitative study. American journal of health promotion : AJHP. 2008;23(1):43–50. doi: 10.4278/ajhp.07043042. [DOI] [PubMed] [Google Scholar]
  • 76.Bélanger M, Casey M, Cormier M, et al. Maintenance and decline of physical activity during adolescence: insights from a qualitative study. Int J Behav Nutr Phys Act. 2011;8(1):1–9. doi: 10.1186/1479-5868-8-117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Azzarito L, Hill J. Girls looking for a ‘second home’: bodies, difference and places of inclusion. Physical Education and Sport Pedagogy. 2013;18(4):351–375. [Google Scholar]
  • 78.Dixon-Woods M, Shaw RL, Agarwal S, Smith JA. The problem of appraising qualitative research. BMJ Quality Safety. 2004;13(3):223–225. doi: 10.1136/qshc.2003.008714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Hartley JE, Levin K, Currie C. A new version of the HBSC Family Affluence Scale - FAS III: Scottish Qualitative Findings from the International FAS Development Study. Child indicators research. 2016;9:233–245. doi: 10.1007/s12187-015-9325-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.van Sluijs EM, McMinn AM, Griffin SJ. Effectiveness of interventions to promote physical activity in children and adolescents: systematic review of controlled trials. BMJ (Clinical research) 2007;335(7622):703. doi: 10.1136/bmj.39320.843947.BE. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Owen N, Leslie E, Salmon J, Fotheringham MJ. Environmental determinants of physical activity and sedentary behavior. Exerc Sport Sci Rev. 2000;28(4):153–158. [PubMed] [Google Scholar]
  • 82.Sallis JF, Glanz K, Rimer BK, Viswanath K. Health behavior and health education: theory, research, and practice. John Wiley Sons; 2008. [Google Scholar]
  • 83.Peralta LR, Mihrshahi S, Bellew B, Reece LJ, Hardy LL. Influence of School‐Level Socioeconomic Status on Children’s Physical Activity, Fitness, and Fundamental Movement Skill Levels. J Sch Health. 2019;89(6):460–467. doi: 10.1111/josh.12761. [DOI] [PubMed] [Google Scholar]
  • 84.Lee A. Health-promoting schools. Applied health economics and health policy. 2009;2(1):11–17. doi: 10.2165/00148365-200907010-00002. [DOI] [PubMed] [Google Scholar]
  • 85.Laird Y, Fawkner S, Kelly P, McNamee L, Niven A. The role of social support on physical activity behaviour in adolescent girls: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2016;13(1):1–14. doi: 10.1186/s12966-016-0405-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Camacho-Miñano MJ, La Voi NM, Barr-Anderson DJ. Interventions to promote physical activity among young and adolescent girls: a systematic review. Health education research. 2011;26(6):1025–1049. doi: 10.1093/her/cyr040. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Table 1
Supporting information

RESOURCES