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Background:
Systematic Review

Mixed-Methods Systematic Review to Identify Facilitators and Barriers for Parents/Carers to Engage Pre-School Children in Community-Based Opportunities to Be Physically Active

by
Rachel L. Knight
1,
Catherine A. Sharp
1,
Britt Hallingberg
2,
Kelly A. Mackintosh
1 and
Melitta A. McNarry
1,*
1
Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea SA1 8EN, UK
2
Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF5 2YB, UK
*
Author to whom correspondence should be addressed.
Children 2022, 9(11), 1727; https://doi.org/10.3390/children9111727
Submission received: 15 October 2022 / Revised: 5 November 2022 / Accepted: 6 November 2022 / Published: 10 November 2022

Abstract

:
Background: Low physical activity levels in young children is a major concern. For children aged 0–5 years, engagement with opportunities to be physically active are often driven by the adults responsible for the child’s care. This systematic review explores the barriers and facilitators to parents/caregivers engaging pre-school children in community-based opportunities for physical activity, within real-world settings, or as part of an intervention study. Methods: EBSCOhost Medline, CINHAL plus, EBSCOhost SPORTDiscus, Web of Science, ProQuest, and ASSIA were systematically searched for quantitative and qualitative studies published in English between 2015 and 16 May 2022. Data extracted from 16 articles (485 parents/carers; four countries) were quality-assessed using the Mixed Methods Assessment Tool and coded and themed via thematic analysis. Results: Nine themes (eight core, one minor) were identified and conceptualised into a socio-ecological model, illustrating factors over four levels: Individual—beliefs and knowledge (and parental parameters); Interpersonal—social benefits, social network, and family dynamic; Community—organisational factors and affordability; and Built and Physical Environment—infrastructure. Discussion: The findings provide valuable insights for practitioners and policy makers who commission, design, and deliver community-based physical activity opportunities for pre-school children. Developing strategies and opportunities that seek to address the barriers identified, as well as build on the facilitators highlighted by parents, particularly factors related to infrastructure and affordability, are imperative for physical activity promotion in pre-school children. The perspectives of fathers, socioeconomic and geographical differences, and the importance parents place on physical activity promotion all need to be explored further.

1. Introduction

The benefits of being physically active are irrefutable [1]. Unfortunately, physical activity (PA) levels of young children, including pre-school children (0–5-year-olds), are a major concern [2,3]. Specifically, whilst data on this age group are sparse, the emerging evidence is congruent with that of their older counterparts (5–18-year-olds), with high amounts of time in of sedentary behaviour and low levels of PA already established behaviours for many [4,5]. This is especially concerning given that childhood behaviours are well evidenced to track into adolescence and adulthood [6].
For young children, being insufficiently active can limit the protective effect of PA against cardiovascular disease [7] and obesity [8] and have negative connotations for cognitive development [9], psychosocial health [10], and the mastery of fundamental movement skills [11]. Multiple reviews have explored and identified correlates of PA and sedentary behaviour in children (i.e., [12,13]), highlighting that elements relating to parental practices and opinions are, at least to some degree, key determinants of a child’s health behaviours, including PA.
The engagement of pre-school children in organised opportunities to be physically active has been shown to positively influence sedentary behaviour [14] and moderate-to-vigorous physical activity (MVPA) [15]; both important ways to facilitate the achievement of physical activity levels recommended for optimal health [1]. Indeed, Chen et al. [15] found that the participation of 3–5-year-olds in organised sport (outside of school time) was associated with 10% more MVPA throughout the day. Likewise, when evaluating the effects of a 10-week, family-driven active play programme in children under five years old, O’Dwyer et al. [14] discovered that attendance at structured activities away from the home was a significant predictor of lower weekend sedentary time. The authors suggest that this may, at least in part, be due to parental perceptions of PA, and their ability to facilitate the engagement of their child.
The United Nations Convention on the Rights of the Child [16] states that every child has the right to good health and the right to play. However, on an individual level, engagement of pre-school children with opportunities to be physically active is driven by the adults responsible for the child’s care. Tackling physical inactivity and sedentary behaviour in early childhood therefore requires an in-depth understanding of the key factors that influence adults decision-making processes and behaviours. Such information is essential to assist policy makers and, where necessary, address the (mis)perceptions of those individuals who have the greatest influence during the early years period.
A review of global qualitative research synthesised and mapped the factors relating to parental, care provider, and child perceptions of PA behaviour influencers [17]. Seven core themes were outlined, with the most frequently reported barriers and facilitators being those on an interpersonal level, including the role that adults (parents, care providers, family) have in facilitating health behaviours. Given recent evidence surrounding the barriers and facilitators to physical activity engagement among young children [12,17], it is also important to understand how these present for parents/caregivers, specifically in accessing wider opportunities to support their children’s physical activity within local communities. This can provide further recommendations for public health interventions. Consequently, this mixed-methods systematic review aims to build on prior findings by: (i) specifically exploring the barriers and facilitators to parents/caregivers living within developed economies engaging pre-school children (0–5-year-olds) in community-based opportunities for PA, either within real-world settings or as part of an intervention study, capturing both qualitative and quantitative evidence; (ii) categorising and discussing the findings at a socio-ecological level in line with the framework of Sallis et al. [18]; and (iii) establishing which barriers and facilitators may be central to future action planning. From here on, for ease, reference to parents will encompass parental, carer, and kinship relationships.

2. Methods

This mixed-methods systematic review of both quantitative and qualitative research, including peer-reviewed and non-peer-reviewed (grey) literature, was designed and conducted in line with the Joanna Briggs Institute (JBI) methodology [19]. This approach enabled the complexities of health-related research to be fully explored, ensuring the widest range of understanding was generated [20]. This review is reported in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) [21] and registered on PROSPERO, registration number CRD42022331738.

2.1. Data Sources, Searches, and Study Selection Criteria

Six electronic databases (EBSCOhost Medline, CINHAL plus, EBSCOhost SPORTDiscus, Web of Science, ProQuest, ASSIA), limited to publications in English between 2015 (in line with publication of the United Nations Sustainable Development Goals [22]) and 16th May 2022, were searched by the first author (RLK). Search strategies of key terms were created based on previous reviews of similar topics (e.g., [17]) and refined with guidance from a subject Librarian and input from the review team. The Boolean terms and their variations used included, but were not limited to: (parent* OR carer* OR grandparent* OR guardian*) AND (preschool* OR “early years” OR “young children”) AND (barrier* OR facilitator* OR perception* OR challeng*) AND (“physical activit* OR “active play” OR “fundamental movement” OR “motor skills”).
Two authors (RLK and CS or MAM) independently reviewed all generated citations and abstracts to select eligible studies using Rayyan (QRCI, Qatar), with those coded ‘include’ subsequently full-text screened (independently by RK and MM) against the pre-defined inclusion/exclusion criteria (Table 1). Disagreements regarding eligibility of citations and abstracts or full-text articles were resolved through discussion between the authors (initially: k = 0.46, after discussion: k = 0.88), with a third reviewer (CS or BH) consulted where a consensus could not be reached (n = 3). Online File S1 provides full details of database-specific terms, restrictions and search strategies, and secondary and grey literature search processes.

2.2. Data Extraction

A standardised form pre-developed by the JBI (mixed methods convergent integrated approach) [19] was used by RLK to extract data from the included studies for evidence synthesis. Extracted information included: authors; year of publication; study design, setting, and population, including sample size; participant demographics and characteristics; study methodology; inclusion/exclusion criteria; empirical and/or contextual results relating to parental/carer perceived barriers and facilitators to engagement with community-based PA opportunities (for quantitative data: outcomes of descriptive and interferential analyses; for qualitative: themes or sub-themes supported with illustrations, such as supporting data or direct quotations); type of community-based opportunity (if applicable); and quality-assessment information. A second reviewer (CS or BH) independently reviewed 50% of the extracted data. Two discrepancies were resolved through discussion. Supplementary data were consulted where necessary and available.

2.3. Quality Assessment

One author (RLK) independently assessed study quality using the Mixed Methods Assessment Tool (MMAT) [23]. A second reviewer (CS or BH) independently randomly checked 50% of the studies to ensure consistency. No disagreements occurred. Each study was subsequently attributed an overall quality score, ranging from 1*, where 20% of the quality criteria have been met, to 5*, where 100% of the quality criteria have been met [24]. No studies were excluded due to low quality; rather, all issues were considered when interpreting the results of each study. As per JBI recommendations for mixed-methods systematic reviews, an assessment of certainty was not conducted.

2.4. Data Synthesis

A convergent integrated approach to data synthesis was undertaken [19]. Quantitative data were transformed into textual descriptions or narrative interpretations to facilitate integration with extracted qualitative data. The transformed quantitative data were concurrently analysed and categorised with the qualitative data to form one set of themes and narratives. Thematic synthesis of the pooled data was conducted by RLK following the approach of Thomas and Harden [25]. The findings were coded line-by-line with ‘free codes’, organised into related areas, and ‘descriptive’ themes constructed. The descriptive themes were organised into overarching ‘analytical’ themes. This process was completed in collaboration with the review team; generated themes were discussed, reflected upon, and refined, with reference back to the original articles when required. The analytical themes were used to construct a conceptual framework based on the socioecological model categories outlined by Sallis et al. [18]. This process was undertaken by RLK with a ‘critical friend’ (CS) blindly crossmatching 10% of the studies against the framework to ensure the accuracy, rigour, transparency, and credibility of the undertaken process [26].

3. Results

Overall, 5856 articles were identified from electronic database searches; a further 282 were identified from secondary search strategies. Following duplicate removal, 2477 articles were screened, 2286 excluded, 91 retrieved for full-text eligibility screening, and 16 retained and included in the final analysis (Figure 1). The remaining articles included data from 485 parents of a child aged 0–5 years old [27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42], from four different countries (Australia, the United States of America (USA), the United Kingdom (UK), and Slovenia). Three articles did not provide details of the age of parents [28,32,40]; one article did not provide the sex of parents [38]. It was not possible to separate core demographic details from other study participants not relevant to this review within four articles [31,38,41,42]; however, given that it was possible to separate the facilitators and barriers, these studies were still included.
All articles collected qualitative data, predominantly via semi-structured interviews (n = 9/16) [27,28,29,30,31,32,33,34,36], with five articles adopting a mixed-methods design [28,29,34,40,42]. From these five articles, only the quantitative data from one article [28] met the criteria for inclusion in the data synthesis and was assessed for quality. Only 5 out of 16 articles (31%) had the primary aim to explore factors associated with the child’s engagement in community-based opportunities for PA [27,28,31,34,42]. For the others, the aim was either focused on the general PA context (n = 8/16) [32,33,35,36,37,38,40,41] or on other health-related behaviours (n = 3/16) [29,30,39], with data pertinent to this review captured as a coincidental finding. Further individual study characteristics and overall MMAT quality scores are provided in Table 2, with a full breakdown of the quality assessments and supporting justification presented in Online Tables S1 and S2.
In concert with the dimensions of the socio-ecological framework of Sallis et al. [18], a narrative synthesis of the findings is outlined in the following section. To assist with framing potential interactions between individual-level parental influences and wider factors [18], this is accompanied by a model conceptualised from the nine themes (eight core, one minor) identified within the analysis process (Figure 2). An overview of the themes with indicative text quotes is presented in Online File S2.

3.1. Individual

Beliefs and Knowledge (and Parental Parameters)

At an intrinsic level, parental beliefs regarding the value they place on PA, and the wider benefits they perceive it could bring, appear central to their decision-making processes. Structured PA was perceived to provide exposure to stimulating learning opportunities and environments [27,42] and to foster a broad range of positive and healthy child-development traits. In addition to being an approach to develop social and emotional skills [27,28,31,42], companionship [28], confidence [42], and teamwork [27] were also referred to. Specifically relating to enrolment in private swimming lessons, participation was viewed as a way for children to gain an essential life skill (personal safety), and an early childhood education that would be advantageous in the longer-term [27]. For parents classified by studies as middle-class, swimming lessons were also perceived as a way to demonstrate ‘good parenting’ by enabling them to comply with social norms and mitigate their own concerns regarding fear of drowning and water safety [27].
Perceived benefits were also deemed to be derived from professional instruction. Specifically, knowing a professional would be present in one study facilitated fathers’ engagement with an active play intervention [34], whilst the anticipated development of strong, sport-specific skills due to instruction motivated attendance at bouldering classes [31]. Paying for skilled instruction and access to an appropriate role model that would enhance a child’s behaviour and subsequent learning, facilitated enrolment in private swimming lessons [27]. Indeed, an individual, versus a group-based approach, was considered to be associated with even greater gains [27].
Closely linked to beliefs, parental knowledge, either prior knowledge or a lack of, influenced their decision making. At a basic level, not having the skills to teach their child to swim themselves facilitated attendance at private swimming lessons [27]. However, the recognition and understanding that early skill development can be beneficial for securing leisure opportunities in later life [27] and bring health and fitness benefits in the short term [31] may still be offset by other factors. For example, Houghton et al. [34] found a misconception among fathers that available sessions, including toddler groups, were purely for mothers, reflecting how lack of knowledge can be a barrier to attendance. Briefly, although not a major finding, it is pertinent to note that factors relating to parental parameters, namely, health and personality traits (shyness, laziness), were also highlighted as potential barriers to engagement by fathers attending community-based active play sessions as part of an intervention study [34].

3.2. Interpersonal

Social Benefits, Social Networks, and Family Dynamics

A key driver for attending playgroups [28] and parks [33] was the opportunity they provide for parents [28,42], particularly mothers [33,37], to socialise. Moreover, social networks provide a platform for peer support and influence. Playgroups provide a sense of togetherness, where comradeship can thrive, parenting practices can be shared in a safe space, and observations made of other parent–child interactions to inform one’s own future parenting practices [30]. Social networks facilitated the use of parks [33] and other PA opportunities through the sharing of knowledge and resources, for example, attending in groups or sharing transport [37]. Where such peer influence had a predominantly positive impact, including participation on the basis that ‘everyone else is doing it’ [27], differing parenting approaches and/or attitudes, particularly towards choice of leisure time activity (café versus park), may act as a barrier to pre-schoolers’ PA [33].
Challenges can also arise from within the family unit that influence the family dynamic and, subsequently, PA engagement. Parents in general, and fathers specifically, highlighted the difficulties that arose from having children of different ages. Specifically, competing child commitments [33] and having children outside the age-range of the targeted class [34] were raised as barriers to engagement. Moreover, while mothers often delegated the teaching of new sports to fathers or professionals [40], they were, however, often the ‘gatekeeper’ to engagement in PA opportunities, self-perceiving that they were the drivers of initiating new activities [40] and perceived by fathers to be the ‘organiser’ and reason for their attendance and co-participation at activities [34].

3.3. Community

Organisational Factors and Affordability

When targeting PA in pre-schoolers, the unique requirements of this population and their parents should be acknowledged at an organisational level. Age-group-targeted opportunities that are developmentally appropriate, based on the principles of learning through play, and provide a different experience (e.g., bouldering classes) inspired parents and facilitated attendance [31]. Moreover, a lack of professionally supervised activities for this age group acted as a barrier [37]. The timing of community-based opportunities was also important. Holding more events on weekends [33] could increase engagement; commitment and schedule clashes were barriers identified by both mothers [37] and fathers [34]. For opportunities specifically targeting the engagement of fathers, Saturday sessions led to the greatest attendance levels [34].
The engagement of parents could, in part, be facilitated or restricted by advertising strategies. Social media was identified as a tool for sharing PA ideas and local events [33]. However, it was noted that whilst improved advertising of community PA opportunities could facilitate greater co-participation of parents with their child(ren) [33], poor advertising was a barrier that led to a lack of understanding about available sessions [34]. Being used in an alternative format, marketing techniques delivered through social media that highlighted the perceived threat of not being able to swim was an effective way of encouraging parents to enrol their pre-schooler in private swimming lessons [27].
A major barrier for parents was the affordability of PA. The high cost of participation in organised sports or structured activities (e.g., ice skating) limited engagement [36,37,38,39,41]. For families in deprived areas, the cost of, for example, general swimming, let alone private swimming lessons, precluded participation [41]. Despite wanting to enrol their child(ren), for Brazilian immigrant mothers and fathers in the USA, it was simply not an activity they could readily afford [36,37]. For those with limited finances, a lack of disposable income was a significant barrier to pre-schoolers’ PA [36,41], whereas for middle-class parents, being able to afford the additional cost of private swimming lessons was not something they were concerned about [27].
The provision of low-cost and free activities was viewed as an approach to incentivise participation, particularly for those living in deprived areas [41]. Improving access to resources already available in the community (school facilities) and greater support from community councils were highlighted as ways to improve PA opportunities for young families [33]. Additionally, where fathers identified the limited availability of affordable organised sport as a barrier to their pre-schoolers’ PA [36], individuals embracing or local providers facilitating opportunities to engage in locality-specific activities (bushwalking) [33] could provide a viable solution.

3.4. Built and Physical Environment

Infrastructure

The infrastructure surrounding adequate access to parks, open spaces, general resources, their quality, and how easy it is to travel to them presented an important facilitator of play, and therefore PA, for pre-schoolers. A lack of available, well-resourced facilities and/or parks with age-appropriate equipment [28,33], all-weather provisions [29,33], and adequate green space [36] were mentioned as hinderances. Access to open space was somewhat more of an issue in outer, than inner, Australian suburbs [28], whilst, in some rural farmland areas of the USA, parks were reportedly non-existent [32]. In addition to a lack of access to outdoor facilities, the availability of indoor facilities, particularly in more rural areas [29], was also highlighted. Parents would like greater access to indoor play centres [29] and programmes and services, such as local events and playgroups [33].
Even when access is not an issue, the quality and safety of available facilities was often raised, particularly in parks [28,35,39]. Deteriorating conditions, where broken and removed equipment has not been replaced [28], safety hazards (broken glass and equipment) [39], the presence of dogs within park areas, and safety issues associated with traffic and park locations [28], all deterred parents from taking their preschool-aged children. Similarly, these issues were highlighted to a greater extent in outer rather than inner suburb areas [28].
Inherently linked are issues surrounding distance and transportation. Whether in rural or urban areas, the distance parents have to travel to attend parks, green spaces, and other facilities and opportunities that encourage play and PA had a significant impact on their frequency of attendance [29,32,33,36]. In more rural farmland areas [32], outer suburbs [28], and areas of high deprivation [41], attendance is often governed by access to transport, whether public or private. With this comes the associated cost of fuel [38] or fares, and sometimes excessive and unmanageable travel times [32].

3.5. Discussion

This mixed-methods systematic review examined the facilitators and barriers to parents engaging pre-school children in community-based PA opportunities and environments. To support the interpretation and translation of the findings, the results of the review were categorised using a socio-ecological approach (Figure 2). From the 16 included articles, eight core themes were identified over four levels: (i) Individual—belief, knowledge; (ii) Interpersonal—social benefits, family dynamic, and social network; (iii) Community—organisational factors and affordability; and (iv) Built and Physical Environment—infrastructure.
Parental beliefs regarding the value of PA and their knowledge around its benefits influence engagement with community opportunities. Beliefs, which focused on the positive development of traits and experiences that could be acquired by the child, act as a facilitator [27,28,31,42]. However, limited knowledge, whether through lack of skills to teach their child themselves or about specific PA opportunities, can simultaneously facilitate [27] and prohibit attendance [34]. At an individual level, although not a core theme, perhaps due to limited studies, the influence of parental parameters was also highlighted. Given the limited evidence to support this theme, more detailed discussions are precluded.
The importance of personal growth resonates within the existing literature on parental motivations for supporting pre-school children’s leisure activities. For example, higher levels of behavioural engagement in leisure activities, which is frequently organised sport, presents more often among parents who value leisure activities for their ability to shape children’s competencies and provide enjoyment [43]. There is also a strong relationship between greater participation in leisure opportunities for children and more favourable family economic factors [44]. Given, however, the strong relationship between the accessibility of opportunities in communities to be physically active and family resources, such as time, money, and location, as evidenced in this review, these are likely to present as more prominent barriers for less affluent families.
It is important to highlight that the values placed on leisure-time use may vary among parents of different social classes [45]. Previous research has identified less affluent parents as being less likely to believe that structured leisure activities may help children overcome social and behavioural difficulties [43] and, in contrast to more affluent families, to place more emphasis on safety and opportunities for free time (as opposed to structured activity) [46]. Considering parental motivations and values is central to shaping future opportunities for parents of young children, as well as reducing health inequalities. How these motivations and values are associated with family affluence within local communities warrants further research.
Social norms are evolving; whilst, historically, mothers have been the primary-care providers for children, changes in policy over recent years have advocated that it should no longer be the default. For example, in 2015 in the UK, Shared Parental Leave was introduced [47]. This change in the provision of primary childcare impacts the landscape of the household and family dynamic roles; with fathers playing a more central role at home, it is important to consider at whom opportunities that facilitate PA are targeted (mainly mothers) [34]. Indeed, the social networks and benefits that parents [28,42], and particularly mothers [33,37], obtain from taking their children to activities drive both their initial engagement with community-based PA opportunities for their child and their sustained attendance. Whether such factors equally motivate fathers is unclear from the current evidence base.
The Capability, Opportunity, Motivation, and Behaviour model (COM-B) [48] proposes that three factors (Capability, Opportunity, or Motivation), either combined or in isolation, can facilitate health-related behaviour. In this instance, considering Motivation, whilst parents might initially be driven to attend community-based opportunities for PA for their child’s or for their own benefit (e.g., personal social benefits), observing their child’s enjoyment through being active and having fun may subsequently lead to bi-directional effects, with positive changes in parental beliefs leading to more engaged participation from the child [43].
When considering Opportunity, the direct cost of activities or cost of getting to locations (e.g., parks) [36,37,38,39,41] and infrastructure-based limitations [28,29,32,33,35,36,39] both presented as major barriers to participation. In the UK, at a time when planning departments are now more heavily involved in creating infrastructures that encourage PA, these issues should be ones that can be alleviated. Additionally, current policies and developments in active education settings [49] support the use of pre-existing local community facilities, such as schools [33], as venues for PA opportunities, minimising both cost and travel requirements, but also building community cohesion.

3.6. Future Directions

Multiple factors across multiple different socio-ecological levels that parents identify as influencing the engagement of their pre-school child in community-based opportunities for PA were highlighted. Whilst these provide key areas for practitioner and policy-maker consideration, for some, more research is required to further understand their impact. First, the results indicate gender differences in parental perceptions of barriers and facilitators. Whilst the views and needs of fathers are discussed within some of the included articles, the percentage of female study participants is substantially greater (Table 2), and drivers of engagement potentially differ. For example, playgroups and parks provide opportunities for mothers to socialise [33,37]; however, this needs to be explored further from a male perspective. Dual-advertising campaigns may be needed to target the parenting roles simultaneously and widen participation and engagement to the whole family unit.
Second, it is apparent that the factors that may have the greatest influence on parents who are more or less affluent and/or live in rural, versus urban, locations might differ. Where affordability and access barriers present the primary challenge in areas with higher deprivation (i.e., [29,32,36,37,39]), for parents where cost is not perceived to be an issue, influencing factors appear to be situated at an individual or interpersonal level (i.e., [27,28,31,33,42]). Given the limited number of studies that have specifically set out to explore this in parents of pre-school children, studies that compare such differences in greater depth within local communities are required. Proportional universalism [50], where policy implementation strategies and provision are provided to all, but provision is graded dependent on need, is required.
Finally, concerning parental beliefs and knowledge, further work is needed to ascertain where on the spectrum of importance parents place engaging pre-schoolers in PA. Conventionally, it has been perceived that pre-schoolers are sufficiently active by default (as supported by the findings of Hesketh et al. [17]). However, with emerging evidence to show that this is not the case, with high levels of sedentary behaviour and low levels of PA potentially already established in some (i.e., [3,5]), this pre-conception needs to be urgently challenged.

3.7. Strengths and Limitations

This review was designed to take a systematic approach, using rigorous methods and validated tools, following a pre-defined protocol. Positively, the participant samples, in combination, represent a broad range of the target population encompassing males, females, ethnical diversity and different levels of socio-economic status. However, it is still possible that some studies containing pertinent data may not have been captured. It is important to note that only studies published in English from one of the 37 countries listed on the United Nations 2022 list of developed economies [51] were included, thus limiting the extrapolation of findings to other countries. Future research should explore and consider the specific environmental and cultural parameters and constraints of less developed economies. Additionally, the quality of included studies varied. Whilst 11 met 100% of the MMAT quality criteria [30,31,32,33,34,36,37,38,39,41], two articles only met 40% of the criteria [28,40], one met 60%, [42] and two met 80% [27,29]. It also became apparent during the latter stages of the screening processes that studies containing the views of expectant parents (terminology not agreed and included within the search terms by the team and its wider collaborators) may have provided additional insight. As per the pre-defined criteria, within this review, such studies (e.g., [52]) were duly excluded from the final analysis. It is important to additionally highlight that the results for the theme ‘Beliefs and Knowledge’ are largely based on the findings of a single study [27], potentially introducing an element of bias. Therefore, this needs to be considered when interpreting the results.

4. Conclusions

Physical inactivity is detrimental to health and well-being across the lifespan, making the embodiment of healthy behaviours from the early years phase essential. The message from PA guidelines is consistent and has not changed since 2011 [53]; therefore, identifying ways to help parents realise the potential of early PA is important. The findings within this evidence synthesis provide valuable insights for practitioners and policy makers involved in commissioning, designing, and delivering community-based PA opportunities for pre-school children. To tackle physical inactivity and promote PA, developing strategies and opportunities that acknowledge and seek to address the barriers identified and build on the facilitators highlighted by parents, particularly surrounding infrastructure and affordability, may be paramount.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/children9111727/s1, Table S1: Coding criteria for the Mixed Methods Assessment Tool; Table S2: Quality assessment results from Mixed Methods Assessment Tool; File S1: Database-specific terms, restrictions and search strategies, and secondary and grey literature search processes; File S2: Themes and indicative text quotes.

Author Contributions

The study was conceptualized by K.A.M., M.A.M. and C.A.S. Literature searching was undertaken by R.L.K. Data analysis was undertaken by R.L.K., with secondary assistance from C.A.S. and B.H. and critical interpretation from M.A.M. The first draft of the manuscript was written by R.L.K. All authors have read and agreed to the published version of the manuscript.

Funding

Funding was received from Sport Wales, which enabled the appointment of the research assistant (first author) who conducted this review.

Institutional Review Board Statement

No ethical approval needed; all data were available in the scientific literature.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

Britt Hallingberg is a trustee for the Llanharan Community Development Project Ltd., which provides play opportunities for local communities in Wales. All other authors declare that they have no conflict of interest.

References

  1. World Health Organization. Global Action Plan on Physical Activity 2018–2030: More Active People for a Healthier World. Geneva: World Health Organization. 2018. Available online: https://apps.who.int/iris/bitstream/handle/10665/272722/9789241514187-eng.pdf (accessed on 16 July 2022).
  2. Bornstein, D.B.; Beets, M.W.; Byun, W.; McIver, K. Accelerometer-derived physical activity levels of preschoolers: A meta-analysis. J. Sci. Med. Sport 2011, 14, 504–511. [Google Scholar] [CrossRef] [PubMed]
  3. O’Brien, K.T.; Vanderloo, L.M.; Bruijns, B.A.; Truelove, S.; Tucker, P. Physical activity and sedentary time among preschoolers in centre-based childcare: A systematic review. Int. J. Behav. Nutr. Phys. Act. 2018, 15, 117. [Google Scholar] [CrossRef]
  4. Cardon, G.; Van Cauwenberghe, E.; De Bourdeaudhuij, I. What do we know about physical activity in infants and toddlers: A review of the literature and future research directions. Sci. Sports 2011, 26, 127–130. [Google Scholar] [CrossRef]
  5. Downing, K.L.; Hnatiuk, J.; Hesketh, K.D. Prevalence of sedentary behavior in children under 2 years: A systematic review. Prev. Med. 2015, 78, 105–114. [Google Scholar] [CrossRef] [PubMed]
  6. van der Zee, M.D.; van der Mee, D.; Bartels, M.; de Geus, E.J.C. Tracking of voluntary exercise behaviour over the lifespan. Int. J. Behav. Nutr. Phys. Act. 2019, 16, 17. [Google Scholar] [CrossRef] [Green Version]
  7. Sääkslahti, A.; Numminen, P.; Varstala, V.; Helenius, H.; Tammi, A.; Viikari, J.; Välimäki, I. Physical activity as a preventive measure for coronary heart disease risk factors in early childhood. Scand. J. Med. Sci. Sports 2004, 14, 143–149. [Google Scholar] [CrossRef]
  8. Jiménez-Pavón, D.; Kelly, J.; Reilly, J.J. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: Systematic review. Int. J. Pediatr. Obes. 2010, 5, 3–18. [Google Scholar] [CrossRef] [PubMed]
  9. LeBlanc, A.G.; Spence, J.C.; Carson, V.; Connor Gorber, S.; Dillman, C.; Janssen, I.; Kho, M.E.; Stearns, J.A.; Timmons, B.W.; Tremblay, M.S. Systematic review of sedentary behaviour and health indicators in the early years (aged 0–4 years). Appl. Physiol. Nutr. Metab. 2012, 37, 753–772. [Google Scholar] [CrossRef] [Green Version]
  10. Burdette, H.L.; Whitaker, R.C. Resurrecting free play in young children: Looking beyond fitness and fatness to attention, affiliation, and affect. Arch. Pediatr. Adolesc. Med. 2005, 159, 46–50. [Google Scholar] [CrossRef] [Green Version]
  11. Williams, C.L.; Carter, B.J.; Kibbe, D.L.; Dennison, D. Increasing physical activity in preschool: A pilot study to evaluate animal trackers. J. Nutr. Educ. Behav. 2009, 41, 47–52. [Google Scholar] [CrossRef] [PubMed]
  12. Hesketh, K.R.; O’Malley, C.; Paes, V.M.; Moore, H.; Summerbell, C.; Ong, K.K.; Lakshman, R.; van Sluijs, E.M. Determinants of Change in Physical Activity in Children 0–6 years of Age: A Systematic Review of Quantitative Literature. Sports Med. 2017, 47, 1349–1374. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Kim, H.; Akira, M.; Ma, J. Factors impacting levels of physical activity and sedentary behavior among young children: A literature review. Int. J. Appl. Sports Sci. 2017, 29, 1–12. [Google Scholar] [CrossRef]
  14. O’Dwyer, M.V.; Fairclough, S.J.; Knowles, Z.; Stratton, G. Effect of a family focused active play intervention on sedentary time and physical activity in preschool children. Int. J. Behav. Nutr. Phys. Act. 2012, 9, 117. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Chen, C.; Sellberg, F.; Ahlqvist, V.H.; Neovius, M.; Christiansen, F.; Berglind, D. Associations of participation in organized sports and physical activity in preschool children: A cross-sectional study. BMC Pediatr. 2020, 20, 328. [Google Scholar] [CrossRef]
  16. United Nations. Convention on the Rights of the Child. Geneva: United Nations. 1989. Available online: https://www.ohchr.org/en/instruments-mechanisms/instruments/convention-rights-child (accessed on 4 September 2022).
  17. Hesketh, K.R.; Lakshman, R.; Sluijs, E.M.F. Barriers and facilitators to young children’s physical activity and sedentary behaviour: A systematic review and synthesis of qualitative literature. Obes. Rev. 2017, 18, 987–1017. [Google Scholar] [CrossRef] [Green Version]
  18. Sallis, J.F.; Cervero, R.B.; Ascher, W.; Henderson, K.A.; Kraft, M.K.; Kerr, J. An ecological approach to creating active living communities. Annu. Rev. Public Health 2006, 27, 297–322. [Google Scholar] [CrossRef] [Green Version]
  19. Lizarondo, L.; Stern, C.; Carrier, J.; Godfrey, C.; Rieger, K.; Salmond, S.; Apostolo, J.; Kirkpatrick, P.; Loveday, H. Chapter 8: Mixed methods systematic reviews. In JBI Manual for Evidence Synthesis; Aromataris, E., Munn, Z., Eds.; JBI: North Adelaide, Australia, 2020; Available online: https://jbi-global-wiki.refined.site/space/MANUAL/4687380/Chapter+8%3A+Mixed+methods+systematic+reviews (accessed on 10 May 2022).
  20. Higgins, J.P.; Thomas, J.; Chandler, J.; Cumpston, M.; Li, T.; Page, M.J.; Welch, V.A. (Eds.) Cochrane Handbook for Systematic Reviews of Interventions Version 6.3 (Updated February 2022). Cochrane. 2022. Available online: https://training.cochrane.org/handbook (accessed on 10 May 2022).
  21. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021, 372, n71. [Google Scholar] [CrossRef]
  22. United Nations Department of Economic and Social Affairs. Transforming Our World: The 2030 Agenda for Sustainable Development. Geneva: United Nations. 2015. Available online: https://sdgs.un.org/2030agenda (accessed on 4 September 2022).
  23. Hong, Q.N.; Pluye, P.; Fàbregues, S.; Bartlett, G.; Boardman, F.; Cargo, M.; Dagenais, P.; Gagnon, M.-P.; Griffiths, F.; Nicolau, B.; et al. The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Educ. Inf. 2018, 34, 285–291. [Google Scholar] [CrossRef] [Green Version]
  24. Hong, Q.N. Reporting the Results of the MMAT. 2020. Available online: http://mixedmethodsappraisaltoolpublic.pbworks.com/w/file/140056890/Reporting%20the%20results%20of%20the%20MMAT.pdf (accessed on 11 May 2022).
  25. Thomas, J.; Harden, A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med. Res. Methodol. 2008, 8, 45. [Google Scholar] [CrossRef] [Green Version]
  26. Smith, B.; McGannon, K.R. Developing rigor in qualitative research: Problems and opportunities within sport and exercise psychology. Int. Rev. Sport Exerc. Psychol. 2018, 11, 101–121. [Google Scholar] [CrossRef]
  27. Allen, G.; Velija, P.; Dodds, J. ‘We just thought everyone else is going so we might as well’: Middle-class parenting and franchised baby/toddler swimming. Leis. Stud. 2021, 40, 169–182. [Google Scholar] [CrossRef]
  28. Andrews, F.J.; Stagnitti, K.; Robertson, N. Social play amongst preschool-aged children from an inner and an outer metropolitan suburb. J. Soc. Incl. 2019, 10, 4–17. [Google Scholar] [CrossRef]
  29. Downing, K.L.; Best, K.; Campbell, K.J.; Hesketh, K.D. Informing active play and screen time behaviour change interventions for low socioeconomic position mothers of young children: What do mothers want? BioMed Res. Int. 2016, 2016, 2139782. [Google Scholar] [CrossRef] [Green Version]
  30. Fuller, A.B.; Byrne, R.A.; Golley, R.K.; Trost, S.G. Supporting healthy lifestyle behaviours in families attending community playgroups: Parents’ perceptions of facilitators and barriers. BMC Public Health 2019, 19, 1740. [Google Scholar] [CrossRef] [PubMed]
  31. Gridley, N. Parental perceptions of an indoor bouldering programme for toddlers and pre-schoolers in England: An initial exploratory study. J. Adventure Educ. Outdoor Learn. 2022. [Google Scholar] [CrossRef]
  32. Grzywacz, J.; Arcury, T.; Trejo, G.; Quandt, S. Latino mothers in farmworker families’ beliefs about preschool children’s physical activity and play. J. Immigr. Minor. Health 2016, 18, 234–242. [Google Scholar] [CrossRef] [Green Version]
  33. Hnatiuk, J.A.; Dwyer, G.; George, E.S.; Bennie, A. Co-participation in physical activity: Perspectives from Australian parents of pre-schoolers. Health Promot. Int. 2020, 35, 1474–1483. [Google Scholar] [CrossRef]
  34. Houghton, L.J.; O’Dwyer, M.; Foweather, L.; Watson, P.; Alford, S.; Knowles, Z.R. An impact and feasibility evaluation of a six-week (nine hour) active play intervention on fathers’ engagement with their preschool children: A feasibility study. Early Child Dev. Care 2015, 185, 244–266. [Google Scholar] [CrossRef]
  35. Joseph, E.D.; Kracht, C.L.; St Romain, J.; Allen, A.T.; Barbaree, C.; Martin, C.K.; Staiano, A.E. Young children’s screen time and physical activity: Perspectives of parents and early care and education center providers. Glob. Pediatr. Health 2019, 6, 2333794X19865856. [Google Scholar] [CrossRef]
  36. Lindsay, A.C.; de Sá Melo Alves, A.; Vianna Gabriela Vasconcellos de, B.; Arruda Carlos André, M.; Hasselmann, M.H.; Machado Márcia Maria, T.; Greaney, M.L. A qualitative study conducted in the United States exploring the perspectives of Brazilian immigrant fathers about their preschool-age children’s physical activity and screen time. J. Public Health 2022, 30, 1619–1632. [Google Scholar] [CrossRef]
  37. Lindsay, A.C.; Arruda, C.A.M.; Machado, M.M.T.; Greaney, M.L. Parenting practices that encourage & discourage physical activity in preschool-age children of Brazilian immigrant families. Ann. Behav. Med. 2019, 53, e0214143. [Google Scholar] [CrossRef]
  38. Martin-Biggers, J.; Spaccarotella, K.; Hongu, N.; Alleman, G.; Worobey, J.; Byrd-Bredbenner, C. Translating it into real life: A qualitative study of the cognitions, barriers and supports for key obesogenic behaviors of parents of preschoolers. BMC Public Health 2015, 15, 189. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Penilla, C.; Tschann, J.M.; Sanchez-Vaznaugh, E.V.; Flores, E.; Ozer, E.J. Obstacles to preventing obesity in children aged 2 to 5 years: Latino mothers’ and fathers’ experiences and perceptions of their urban environments. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 148. [Google Scholar] [CrossRef] [Green Version]
  40. Pišot, S. Mother’s perspective of maintaining an active outdoor leisure time for a preschool child. /Usklajevanje aktivnega preživljanja prostega časa predšolskih otrok iz perspektive mater. Ann. Kinesiol. 2020, 11, 83–97. [Google Scholar] [CrossRef]
  41. Roscoe, C.M.P.; James, R.S.; Duncan, M.J. Preschool staff and parents’ perceptions of preschool children’s physical activity and fundamental movement skills from an area of high deprivation: A qualitative study. Qual. Res. Sport. Exerc. Health 2017, 9, 619–635. [Google Scholar] [CrossRef]
  42. Stirrup, J.; Duncombe, R.; Sandford, R. ‘Intensive mothering’ in the early years: The cultivation and consolidation of (physical) capital. Sport Educ. Soc. 2015, 20, 89–106. [Google Scholar] [CrossRef] [Green Version]
  43. Ooi, L.L.; Rose-Krasnor, L.; Shapira, M.; Coplan, R.J. Parental beliefs about young children’s leisure activity involvement. J. Leis. Res. 2020, 51, 469–488. [Google Scholar] [CrossRef]
  44. Snellman, K.; Silva, J.M.; Frederick, C.B.; Putnam, R.D. The engagement gap: Social mobility and extracurricular participation among American youth. Ann. Am. Acad. Pol. Soc. Sci. 2015, 657, 194–207. [Google Scholar] [CrossRef]
  45. Holloway, S.L.; Pimlott-Wilson, H. Enriching children, institutionalizing childhood? Geographies of play, extracurricular activities, and parenting in England. Ann. Am. Assoc. Geogr. 2014, 104, 613–627. [Google Scholar] [CrossRef]
  46. Bennett, P.R.; Lutz, A.C.; Jayaram, L. Beyond the schoolyard: The role of parenting logics, financial resources, and social institutions in the social class gap in structured activity participation. Sociol. Educ. 2012, 85, 131–157. [Google Scholar] [CrossRef]
  47. UK Government. The Shared Parental Leave Regulations 2014. London: UK Government. 2014. Available online: https://www.legislation.gov.uk/uksi/2014/3050/contents/made (accessed on 5 September 2022).
  48. Michie, S.; van Stralen, M.M.; West, R. The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implement. Sci. 2011, 6, 42. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Marshall, T.; Rees, A.; Roberts, C. Active beyond the School Day. A Research Review. Cardiff: Sport Wales. 2022. Available online: https://www.sport.wales/research-and-insight/report-active-education-beyond-the-school-day/ (accessed on 5 September 2022).
  50. Marmot, M. Fair Society, Healthy Lives: The Marmot Review: Strategic Review of Health Inequalities in England Post-2010; Parliament: London, UK, 2010; ISBN 9780956487001. Available online: https://www.parliament.uk/globalassets/documents/fair-society-healthy-lives-full-report.pdf (accessed on 5 September 2022).
  51. United Nations Economic and Social Council. World Economic Situation and Prospects 2022. Statistical Annex. Geneva: United Nations Economic and Social Council. 2022. Available online: https://www.un.org/development/desa/dpad/wp-content/uploads/sites/45/WESP2022_ANNEX.pdf (accessed on 11 May 2022).
  52. Khanom, A.; Evans, B.A.; Lynch, R.; Marchant, E.; Hill, R.A.; Morgan, K.; Rapport, F.; Lyons, R.A.; Brophy, S. Parent recommendations to support physical activity for families with young children: Results of interviews in deprived and affluent communities in South Wales (United Kingdom). Health Expect. 2020, 23, 284–295. [Google Scholar] [CrossRef] [PubMed]
  53. Department of Health, Physical Activity, Health Improvement and Protection. Start Active, Stay Active: A Report on Physical Activity from the Four Home Countries’ Chief Medical Officers. London: UK Government. 2011. Available online: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/830943/withdrawn_dh_128210.pdf (accessed on 11 September 2022).
Figure 1. PRISMA 2020 flow diagram for new systematic reviews which included searches of databases, registers, and other sources. Note: * Automation tools were not used; n = number; UN = United Nation.
Figure 1. PRISMA 2020 flow diagram for new systematic reviews which included searches of databases, registers, and other sources. Note: * Automation tools were not used; n = number; UN = United Nation.
Children 09 01727 g001
Figure 2. Socio-ecological model of factors that influence parental engagement of pre-school children in community-based opportunities for physical activity.
Figure 2. Socio-ecological model of factors that influence parental engagement of pre-school children in community-based opportunities for physical activity.
Children 09 01727 g002
Table 1. Study inclusion and exclusion criteria.
Table 1. Study inclusion and exclusion criteria.
VariableInclusion CriteriaExclusion Criteria
Population or participantsParent/guardian/carer of a child(ren) aged
0–5 years
Any gender
Restricted to the 37 countries listed on the
UN 2022 list of developed economies
Studies including the parent, guardian, or carer of children aged >5 years, where data cannot be separated
Studies that include clinical populations (e.g., autism, cerebral palsy, cystic fibrosis), where data cannot be separated
Phenomena of interestPerceived parental, guardian, or carer barriers/facilitators to engagement of children aged 0–5 years with PA driven opportunitiesStudies including the perceptions of children or education providers
Studies that involve data obtained relating specifically to the effects of COVID-19 pandemic curtailment restrictions
ContextCommunity-based PA opportunities—any public, private, or third-sector activity provided either freely or following payment within real-world settings or as part of an intervention studyStudies where a degree of activity offered (free or paid) is not based on or driven by PA
Studies that report outcomes relating to physical education provision or interventions delivered during core nursery and school hours and therefore participation is not under the direct influence of a parent/guardian/carer
Study designsAny quantitative, qualitative, or mixed-methods study design providing original results (including grey literature, such as conference proceedings)
No restrictions on measurement type for assessing barriers/facilitators. Mixed-methods studies will be considered if the data from the qualitative and quantitative elements can be clearly extracted
Studies not providing original results, such as systematic reviews, meta-analysis, general reviews, or editorials
Studies where barriers/facilitators are only reported anecdotally within the discussion, not as core results
PA = physical activity; UN = United Nations.
Table 2. Study characteristics and MMAT scores.
Table 2. Study characteristics and MMAT scores.
AuthorStudy DesignLocation and ContextInclusion/
Exclusion
Criteria
Phenomena of
Interest
Participants (n)Core CharacteristicsOverall MMAT Grade
ParentChild
Allen et al. (2021) [27]Descriptive via semi-structured
interviews
(random sample)
UK: North-east of England
Private
/franchised
swimming
lessons
Aged ≥ 18 years; previously paid for private
swimming lessons for child(ren) (0–4 years) for 12 months
The reasons why
middle-class parents decide to pay for
private/franchised
swimming lessons for pre-school children in line with Bourdieu’s triad of capital,
habitus, and field
n = 8
(75% female)
Aged 25–44 years
Education level
50% degree
25% college
25% secondary school
Employment
50% employed
12.5% unemployed
12.5% homemaker
25% other
Income
25% low-middle-class
75% mid-middle class
Aged 0–4 years****
Andrews et al. (2019) [28]Mixed methods
Stage 1: Cross-
sectional via
individually
constructed self-
report
questionnaire
(stratified
purposive sample)
Stage 2: Descriptive via semi-structure interviews
(self-selected from Stage 1)
Australia:
Melbourne
Selected
inner and outer-suburban areas, one > 25 km and one < 10 km from the central
business district
Lived in their
suburb for ≥12 months; parent of at least one child aged 0–4 years
attending pre-school
Who children played with and where they played in the two
communities and the reasons for any
differences in children’s play experiences
Inner suburbs
Questionnaire
n = 72
(95.8% female)
Interviews
n = 10
Outer suburbs
Questionnaire
n = 26
(92.3% female)
Interviews
n = 10
No age range
detailed
Inner suburbs
77.8% born in Australia
Education level
34.4% postgraduate
37.5% degree
2.8% year 12 not completed
Employment
Hours/week paid work
Mean = 16 (σ 14.6)
Outer suburbs
46.2% born in Australia
Education level
15.4% postgraduate
34.6% degree
11.5% year 12 not completed
Employment
Hours/week paid work
Mean = 10.2 (σ 15.4)
Aged 0–4 years**
Downing et al. (2016) [29]Mixed methods.
Descriptive via structured
interviews (only
qualitative data
relevant; purposive sample)
Australia:
Victoria
Urban and
regional local government
areas covering the lowest decile for
socioeconomic
disadvantage
Mother of
child(ren) aged 1–3 years; from low SES urban or
regional area; able to speak, read, and write fluent
English
The views of mothers from disadvantaged (low SES position)
urban and regional areas (e.g., beyond major capital cities) as
potential end users of child active play and screen time behaviour change interventions, with a focus on text
messaging and web-based delivery
platforms
Urban
n = 22
(100% female)
Mean age = 33.9 years (σ 6.4)
Regional
n = 10
(100% female)
Mean age = 32.4 years (σ 5.7)
Urban
Education level
46% degree or higher
46% year 12/trade/diploma
9% year 10 or equivalent
Employment
60% employed
23% home duties
18% student/unemployed/other
Regional
Educational level
50% degree or higher
30% year 12/trade/diploma
20% Year 10 or equivalent
Employment
30% employed
50% home duties
20% student/
unemployed/other
Mean age 2.5 years
(σ 0.9)
Lived with mother all/most of time
****
Fuller et al. (2019) [30]Descriptive via semi-structured
interviews
(purposive sample)
Australia: Greater
Brisbane
Metropolitan area. Playgroup attendees
Parent of child attending a playgroup that agreed to hold a focus groupBarriers/facilitators to
using parenting
practices that support healthy obesity-
related behaviour
development in their child and what is
acceptable in terms of
intervention delivery mode and timing. Findings to inform the design of a community
playgroup childhood obesity prevention
intervention
n = 30
(93.3% female)
1 father
1 grandmother
13% aged > 30 years
37% aged 30–35 years
50% aged 36+ years
Education level
50% university
40% TAFE or trade
10% secondary school
Employment
50% employed
50% unemployed
Median age = 24 months*****
Gridley (2022) [31]Descriptive via semi-structured
interviews
(purposive sample)
UK: England
Indoor climbing
centres
Parents with a child who had
attended 2+
sessions of a
developmentally adapted indoor bouldering
programme
The perceptions of
parents whose
children took part in a developmentally adapted indoor
bouldering programme
designed for < 6-year-old children
n = 6 overall
Mean age = 35.5 years (σ 6.4)
Derived from text that n = 3 attended rock tots
(33% female)
Unable to separate any details from those of parents who
attended rock kids (children aged > 5 years)
Aged 1–4 years (rock tots)*****
Grzywacz et al. (2016) [32]Descriptive via semi-structured
interviews (part of a larger study;
purposive sample)
USA: North
Carolina
Latino
farmworker
families
Female with child aged 2–5 years; household
member
employed in
agriculture in the last 12 months
The beliefs held by mothers in Latino
farmworker families about the contribution of PA to pre-school-aged children’s health and the perceived
barriers or constraints that impose limits on
pre-school-aged
farmworkers’
children’s PA
n = 33
(100% female)
No age range
detailed
n = 16 migrant families
n = 17 seasonal families
Education
No details
Employment
40% worked on farms during past 12 months
Aged 2–5 years*****
Hnatiuk et al. (2020) [33]Descriptive via semi-structured
interviews
(purposive sample)
Australia:
Western Sydney
Aged ≥ 18 years; parent of child aged 2–4 yearsParents’ perceptions about: (i) PA and
possible benefits of family-based co-
participation in PA, (ii) the perceived
facilitators and barriers to co-participation in
Western Sydney, and (iii) recommendations for improving co-
participation within their community
n = 15
(93% female)
Mean age = 34.9 years (σ 5.4)
73% born in Australia
Education level
20% postgraduate
40% undergraduate
degree
27% trade certificate or diploma
13% year 12 or
equivalent
Employment
53% employed
6% student
Aged 2–4 years
Mean age = 3.5 years
(σ 0.56)
*****
Houghton et al. (2015) [34]Mixed methods.
Descriptive via structured
interviews (only
qualitative data
relevant; purposive sample)
UK: Liverpool
Sure Start
Children’s
Centres
Fathers/male
carers of child aged 3–5 years; living within catchment area of 26 Sure Start
Children’s
Centres; attended at least 4 out of 6 sessions
The effectiveness and feasibility of a
physically active-play-based programme on
fathers’ engagement with their pre-school-aged children across Liverpool
n = 36
95.7% fathers; 3.2% grandads; and 1.1% other
Mean age = 37.7 years (σ 8.7)
70.2% White British
26.6% had not used Sure Start
service before
Education level
No details
Employment
56.4% employed
33% unemployed
4.3% retired
3.2% full time students
3.2% unable to work
Mean age = 3.8 years
(σ 1.2)
*****
Joseph et al. (2019) [35]Descriptive via
focus groups (part of a larger
longitudinal mixed-methods study; purposive sample)
USA: Louisiana Early care
education
centres
Legal guardian/caretaker of child aged 3–5 years
enrolled in ECC; understand and speak English;
free from
cognitive
impairment;
parent not an ECC provider; child not at ECC
assessed for
longitudinal study arm
The views and
differences between parent and ECC
provider perspectives on barriers/facilitators to children’s PA and screen time, awareness of relevant regulations and recommendations, and caregiver-
identified opportunities to leverage screen time to increase young
children’s PA
n = 28
(94% female)
Age range 24–59 years
67% African American (Data for n = 18)
Education level
(Data for n = 18)
22% > college degree
22% some college/college
degree
56% ≤ high school
diploma
Employment
(Data for n = 16)
69% employed
31% unemployed/retired
Mean age = 3.7 years
(σ 0.8)
*****
Lindsay et al. (2022) [36]Descriptive via semi-structured
interviews (part of a larger
longitudinal mixed-methods study; purposive sample)
USA:
Massachusetts
Brazilian
immigrant
families
Father of at least one child aged 2–5 years; Brazilian ethnicity and born in Brazil; aged ≥ 21 years; lived in Massachusetts; lived in the USA ≥ 12 monthsThe perspectives and parenting practices of
Brazilian immigrant
fathers with regard to their pre-school-age
children’s PA and sedentary time
n = 21
(100% male)
Mean age = 34.4 years (σ 2.8)
Age range 27–43 years
Education level
4.7% college
71.5% high school/high school diploma
19.1% < high school
Employment
100% employed
Aged 2–5 years*****
Lindsay et al. (2019) [37]Descriptive via
focus groups (part of a larger
longitudinal mixed-methods study) (convenience
sample)
USA: Greater Boston area, Massachusetts
Brazilian
immigrant
families
Mother of at least one child aged 2–5 years; Brazilian ethnicity and born in Brazil; lived in the USA for ≥12 monthsPA parenting
practices used by
Brazilian immigrant
mothers of pre-school-aged children
n = 37
(100% female)
Mean age = 35.3
(σ 2.8)
Age range 26–41 years
Education level
56.8% graduated high school
Employment
92% owned their own housecleaning business
Aged 2–5 years*****
Martin-Biggers et al. (2015) [38]Descriptive via
focus groups (part of a larger
longitudinal mixed-methods study (purposive sample) Each focus group randomly asked about 2 different topics from a
selection of 7)
USA: New
Jersey and
Arizona
Parent of child aged 2–5 years; primary language
English or
Spanish
Parents’ cognitions
associated with key obesity-prevention
behaviours
n = 28 (active
-play/barriers
focus groups)
No sex
demographics
supplied
Unable to extract focus-group-specific dataAged 2–5 years*****
Penilla et al. (2017) [39]Descriptive via
focus groups
(purposive sample)
USA: San
Francisco
Community-based
organization in the Mission
District
Parent/guardian of a child between 2 and 5 years; English- or
Spanish-speaking; of Mexican,
Guatemalan, or Salvadoran
descent
The broader social and environmental
influences, namely, how urban
neighbourhoods
influence children’s weight status through parents’ child-feeding and PA routines
n = 49
(55% female)
Mean age
mothers
30 years
(σ 5.8)
Mean age
fathers
35 years
(σ 9.1)
Mothers
Education level
Mean years in education 12
(σ 3.7)
Employment
33% currently employed
Fathers
Education level
Mean years in education 11
(σ 2.3)
Employment
68% currently employed
Aged 2–5 years*****
Pišot (2020) [40]Mixed methods
Descriptive via structured
interviews (only qualitative data
relevant)
No details:
Presume
Slovenia
Mother of child aged 4 years
Not stated
In mothers of pre-school children, the
perceived barriers that enable or inhibit them to ensure their children are physically active in their leisure time
n = 54
(100% female)
No other demographic details suppliedAged 4 years**
Roscoe et al. (2017) [41]Phenomenological via semi-structured interviews
(purposive sample)
UK: North
Warwickshire
Area of high deprivation
Pre-school staff and
parents’ perceptions of pre-school children’s PA and FMS, considering the environment,
facilities, play, socio-economic status, and PA barriers
n = 10
(100% female)
Unable to separate any other details from those of staff also included in focus groupsAged 2–4 years*****
Stirrup et al. (2015) [42]Mixed methods Ethnography via semi-structured
interviews (part of a larger, ongoing study—only
qualitative data
relevant; purposive sample)
UK: Single
unspecified local
authority
Parent of child aged 0–5 years;
attending pre-school facility; classified as
middle class
Opportunities for
pre-school children (aged 0–5 years) to
participate in PA, the influence of social class and culture on parents’ opportunities (and
dispositions) to invest in and their choice of PA experiences. Plus, via Bourdieu’s concepts of habitus and capital, the tendency for parents to provide copious
developmental
opportunities via
‘intensive mothering’
n = 3 interviews (100% female; all selected from sample of n = 79 questionnaire respondents as
examples of
middle-class)
No demographic details
supplied for interview
participants
Aged 0–5 years***
a σ = standard deviation; ECC = early childcare centre; FMS = fundamental movement skills; n = number; PA = physical activity; SES = socioeconomic status; TAFE = technical and further education; UK = United Kingdom; USA = United States of America. b Overall study quality was assessed using the Mixed Methods Assessment Tool (MMAT) and is reported using asterisks (*) as a descriptor, ranging from 1*, where 20% of the quality criteria have been met, to 5*, where 100% of the quality criteria have been met [14].
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MDPI and ACS Style

Knight, R.L.; Sharp, C.A.; Hallingberg, B.; Mackintosh, K.A.; McNarry, M.A. Mixed-Methods Systematic Review to Identify Facilitators and Barriers for Parents/Carers to Engage Pre-School Children in Community-Based Opportunities to Be Physically Active. Children 2022, 9, 1727. https://doi.org/10.3390/children9111727

AMA Style

Knight RL, Sharp CA, Hallingberg B, Mackintosh KA, McNarry MA. Mixed-Methods Systematic Review to Identify Facilitators and Barriers for Parents/Carers to Engage Pre-School Children in Community-Based Opportunities to Be Physically Active. Children. 2022; 9(11):1727. https://doi.org/10.3390/children9111727

Chicago/Turabian Style

Knight, Rachel L., Catherine A. Sharp, Britt Hallingberg, Kelly A. Mackintosh, and Melitta A. McNarry. 2022. "Mixed-Methods Systematic Review to Identify Facilitators and Barriers for Parents/Carers to Engage Pre-School Children in Community-Based Opportunities to Be Physically Active" Children 9, no. 11: 1727. https://doi.org/10.3390/children9111727

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