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. 2025 Aug 7;11:92. doi: 10.1186/s40798-025-00905-x

Developing International Consensus on Key Indicators for a 24-Hour Movement Behaviour Report Card in Early Childhood: A Twin-Panel Delphi Study

Wendy Y Huang 1,2,, Danqing Zhang 1, Mark S Tremblay 3,4,6, Martin C S Wong 5, Cindy H P Sit 6, Sam W S Wong 7, Derwin K C Chan 8, Stephen H S Wong 6; The Collaborative Author Group
PMCID: PMC12331558  PMID: 40773124

Abstract

Background

The World Health Organization has established recommendations for 24-h movement behaviours in children under 5 years. Building on the successful knowledge translation model of Active Healthy Kids Global Alliance Report Cards, this study aimed to develop a similar framework for the early years.

Methods

Using a three-round twin-panel Delphi survey (conducted via an online survey between 28 November 2024 and 11 March 2025), expert consensus was sought on indicators and benchmarks for the first dedicated report card on 24-h movement behaviours for the early years. The experts were identified through a three-step selection process, which included recognised international projects and networks as well as literature search. In Round 1, participants evaluated the applicability of 15 initial indicators. In Rounds 2 and 3, they rated the importance of each indicator, with results from their own panel (Round 2) and the other panel (Round 3) provided to inform their decisions. Qualitative feedback on definitions and benchmarks was systematically reviewed and incorporated. Consensus was predefined as ≥ 75% agreement, with stability across rounds considered.

Results

Of 175 invited experts, 72 (41.1% recruitment rate) from 15 regions participated in Round 1, with 61 (84.7% response rate) and 56 (77.8% response rate) completing Rounds 2 and 3, respectively. Consensus was achieved for 12 indicators, with definitions and benchmarks refined based on expert inputs. Notably, Weight Status and Motor Proficiency were excluded due to lower agreement.

Conclusions

The finalised set of indicators, definitions, and benchmarks provides a robust foundation for creating a standardised report card for early childhood. The finalised results serve as a critical advocacy instrument to raise awareness, improve surveillance, facilitate cross-jurisdictional comparisons, and inform policy and public health initiatives, ultimately supporting the health and well-being of young children globally.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40798-025-00905-x.

Keywords: Physical activity, Sedentary behaviour, Sleep, Consensus, Children

Key points

  • Global experts from 15 world regions collaborated to create the first standardised indicators and their benchmarks for inclusion in dedicated report cards on 24-hour movement behaviours for young children through a structured consensus process.

  • Experts reached strong consensus on 12 indicators, with benchmarks refined to practical implementation.

  • This new assessment framework enables consistent international comparisons while providing stakeholders with measurable improvements in early childhood health and development.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40798-025-00905-x.

Background

There is ample evidence showing that combinations of movement behaviours, including physical activity, sedentary behaviour, and sleep, are essential for health and development in the early years [13]. The World Health Organization (WHO) have provided age-specific recommendations on combinations of these movement behaviours in a 24-h day for children under 5 years [4]. Similar recommendations have been developed and employed by a few countries in recent years [58]. However, low compliance with the guidelines have been reported worldwide [911].

To address the global epidemic of physical inactivity, the WHO advocates a systems-based approach that engages stakeholders from all relevant sectors to work together to drive changes in systems, environments, and policies [12]. A prominent global initiative in this effort is the development of Active Healthy Kids Report Cards on Physical Activity, a well-established knowledge translation model led by the Active Healthy Kids Global Alliance (AHKGA) [13, 14]. The Report Cards synthesise the best available evidence across ten common indicators, including physical activity, its sub-components, and factors that influence it, to assess a jurisdiction’s performance by assigning a letter grade anchored to a harmonised benchmark to each indicator [15]. Over the past decade, this model has been successfully replicated in more than 70 jurisdictions worldwide [1619]. Its demonstrated impacts include advancing knowledge, capacity building, network formulation, identification of knowledge gaps, establishment of partnerships, community advocacy, and informing policy changes [13, 14].

The Active Healthy Kids Report Cards have historically targeted children aged 5–17 years, with primary focus on physical activity-related indicators. While this model has successfully fostered cross-sector collaboration for school-aged populations, the 2019 WHO guidelines on 24-h movement behaviours for children under 5 years [4] create new imperatives for early childhood monitoring. The Report Card model is uniquely positioned to address this need, providing the practical implementation structure required to achieve the intended impact of the WHO guidelines [20]. Recently published evaluations of the AHKGA Global Matrix 4.0 explicitly identified the desire to extend this framework to younger children [21]. However, there has been neither consensus on core indicators nor evidence-based benchmarks tailored to this age group defined. This standardisation gap limits global comparability and weakens advocacy efforts. To address this gap, our Delphi survey study aimed to systematically gather expert input and achieve consensus on indicators and benchmarks for the first dedicated report card on 24-h movement behaviours for children at their early years. By synthesising input from geographically and professionally diverse experts, this study could produce a resulting framework that balances scientific rigor with contextual adaptability. The finalised results aim to serve as both benchmarks for surveillance and a catalyst for policy change, empowering stakeholders to drive measurable improvements in early childhood health and development globally.

Methods

Study Design

The Delphi method is deemed appropriate for establishing expert consensus and plays a critical role in developing evidence-based guidelines for best practices [22]. The Delphi approach has been widely used to achieve consensus on research priorities in physical activity [23], physical fitness [24], and specific fitness test batteries [25]. Accordingly, our study employed this approach and adhered to the Guidance on Conducting and Reporting Delphi Studies (CREDES) [22]. Although a single-panel Delphi approach is efficient to manage and reduces logistical complexity, it may introduce bias and increase the risk of groupthink [26]. Therefore, a twin-panel approach was adopted in this study, as it enables cross-validation of findings between independent panels [24], reduces group bias, and enhances the robustness of consensus, particularly when addressing international topics. The modified Delphi approach was selected because the initial indicators and benchmarks were informed by preliminary formative work and presented to the panel in the first round. The study was designed to include multiple rounds of opinion gathering, with stop criteria defined as achievement of consensus taking into consideration a minimum degree of stability among the responses reached [27]. Respondents were identifiable to the research team via email addresses but anonymous to each other. An overview of the Delphi process is illustrated in Fig. 1 and the completed CREDES Checklist is shown in Additional File 2.

Fig. 1.

Fig. 1

Flow diagram of twin-panel Delphi process

Panel Selection and Recruitment

The experts who have experience in relevant fields were identified through recognised international projects/networks and literature searches.

International Network/Projects

Core team members (or leadership group) from two international research projects, the Sleep and Activity Database for the Early Years (SADEY) [28] and the International Study of Movement Behaviours in the Early Years (SUNRISE) [29] that focus on physical activity, sedentary behaviour, and sleep for children under 5 years of age, were manually searched. The AHKGA Global Matrices 1.0 to 4.0 were also screened for potential participants. Country/region leaders and co-leaders from participating jurisdictions that have evaluated evidence on the early years were included, resulting in 62 experts from 35 jurisdictions identified.

Literature Searching

This study linked two strings of search terms: #1: age range: “early year*” OR “early child*” OR “preschool*” OR “infant*” OR “young child*” OR “toddler*” OR “age*0- year*” OR “age*-1-year*” OR “age*-2-year*” OR “age*-3-year*” OR “age*-4-year*” OR “kids”, and #2: outcomes: “physical activity” OR sedentary OR screen OR sleep OR play OR exercise OR “movement behavio*” OR “movement guideline*”. The literature search was implemented in Web of Science to identify highly cited researchers, with the following filters applied: Preprint Citation Index (excluded – database), Article (document types), publication in the past ten years (till the search date: July 31, 2024). Papers were eligible for inclusion if they included at least one of the 24-h movement behaviours in healthy children under 5 years old, as indicated in the title or abstract. Conference abstracts, commentaries or studies involving only children with disabilities or illnesses were excluded. A total of 5,356 documents were retrieved. Based on citation metrics, the top 500 highly cited publications were selected and imported into VOSviewer [30] for analysis. Co-author selection in VOSviewer identified authors with a minimum of five publications. A total of 27 authors were identified, with 85.2% originating from the United States, Australia, and Canada.

To account for cultural and contextual differences (e.g., policy, education) across countries [31], two additional search strategies were employed to enhance the representation of researchers from other regions. First, an additional search in Web of Science was conducted using the same search terms (#1 and #2) but excluding publications from these three countries, yielding 2,499 documents. Second, the China National Knowledge (CNKI) database, the largest and most comprehensive Chinese-language literature database, was searched using a similar set of key terms translated into Chinese. This search retrieved 35 publications. From these, 869 corresponding authors from 830 publications were identified, and 82 of them, who had published three or more articles with at least one publication within the last 3 years, were selected.

After deduplication, the two search strategies yielded 172 experts. Four additional experts were included through referrals during the first round and one expert was eventually excluded due to undeliverable email address. A total of 175 experts were invited to participate in the first-round survey. These experts were randomly allocated to two panels, stratified by career status. The flowchart illustrating the expert selection process is presented in Additional File 3.

Initial Indicators and Benchmarks

The initial indicators and the benchmarks were determined using two approaches. First, we extracted the indicators and benchmarks that have been developed for children in the early years in the country/region report cards (n = 35) included in Global Matrices 1.0 to 4.0 (https://www.activehealthykids.org/). Eleven indicators were considered as “core indicators” if they were reported in at least three countries/regions report cards. These included six behavioural indicators (Overall Physical Activity, Organised Sport and Physical Activity, Active Play, Active Transportation, Sedentary Screen Time, and Sleep), four sources of influence (Family and Peers, School/Early Childhood Education, Community and Environment, and Government), and an individual indicator (Obesity/Weight Status). Although this report card targets 24-h movement behaviours and their influencing factors, Obesity was initially included given its frequent reporting in report cards for school-aged children and adolescents. Two indicators (24-Hour Movement Behaviours and Motor Proficiency) that were reported once were also considered. The benchmarks of these indicators were extracted from the report card details.

Second, the WHO Guidelines were searched and identified two additional indicators, Restrained Time (regarding sedentary time) and Tummy Time (physical activity for infants) [4]. In addition, local government policies related to 24-h movement behaviours in early childhood were also referred to when developing the benchmarks for the four sources of influence indicators. The initial indicators, definitions, and benchmarks that were presented to the panels in Round 1 are provided in Additional File 4.

Delphi Surveys

The surveys were developed and administered using QuestionPro (www.questionpro.com). To evaluate the clarity and comprehensibility of the questions, a pilot study was conducted among five project team members and two external scholars who did not participate in the main study. No major revisions were required following the pilot. The three survey rounds were conducted between 28 November 2024 and 11 March 2025, with intervals of 4–6 weeks between each round. Respondents were given up to four weeks to complete the survey, which was distributed via email. Two mass reminder emails were sent after one and two weeks, respectively, followed by a personalised email reminder to non-respondents after three weeks. All participants who consented in Round 1 were invited to participate in subsequent rounds. Respondents were not informed of the existence of other panel until the start of Round 3.

In the first round, participants were provided with background information on the project, along with descriptions of the initial indicators, including their definitions and benchmarks. They were asked to respond to two key questions: (1) “In your opinion, are these indicators applicable to children aged under 5 years (i.e., should be included in the report card on 24-h movement behaviours for this age group)?” and (2) “In your opinion, what are the additional indicators for the early years that should be considered but not included above?” Participants were also invited to provide comments and suggestions on the initial indicators and benchmarks, if applicable. For any additional indicators and benchmarks proposed, an explanatory rationale was requested. Additionally, participants completed a demographic questionnaire covering age, gender, country of residence, education, occupation, and years of professional experience. Two authors reviewed the feedback and compiled a list of indicators, incorporating any additional indicators suggested by at least two experts. Qualitative feedback on the benchmarks was reviewed and discussed by the project team to inform necessary revisions.

In the second round, the respondents were presented with the revised indicators and benchmarks, updated based on feedback from their respective panel in Round 1. They were asked to rate the importance of each indicator using a 5-point Likert scale (ranging from ‘1 = unimportant’ to ‘5 = very important’). Participants were also given opportunities to provide further comments on the revised benchmarks. The project team reviewed and discussed the qualitative feedback to determine whether additional modifications to the definitions and benchmarks were required.

In Round 3, participants received a cover letter informing them of the other panel’s responses and a summary of Round 2 results, including results [mean, median, standard deviation (SD), interquartile range, percentage of respondents rating the indicator as ‘important’ or ‘very important’] alongside anonymised qualitative comments. With this knowledge, they were asked to re-rate the importance of each indicator using the same 5-point Likert scale (ranging from ‘1 = unimportant’ to ‘5 = very important’). Additionally, given the significant update to the benchmark for Motor Proficiency following Round 2, an extra question related to this indicator was included in Round 3: “Taking into consideration the lack of currently available benchmarks, do you agree on including ‘Motor Proficiency or Gross Motor Skills’ in the report card?” Responses were collected using a 5-point Likert scale, ranging from ‘1 = strongly disagree’ to ‘5 = strongly agree’. Consensus was predefined as 75% agreement of respondents rating an indicator as ‘4 = important’ or ‘5 = very important’ [22, 32].

Data Analysis

The demographic characteristics of respondents in each round were summarised using means and standard deviations (SDs) for continuous variables and frequencies (numbers and percentages) for categorical variables. Quantitative results and qualitative feedback were reported for each round. To evaluate differences between the two panels in Round 3, the Mann–Whitney U and the Kolmogorov–Smirnov (K-S) Z tests were conducted. The changes in expert opinions across the two rounds were assessed by comparing the percentage of agreement between Round 2 and Round 3, supplemented by Wilcoxon signed-rank tests to analyse shifts in rating distributions.

Results

Participants’ Characteristics

Among the 175 experts invited via email, 72 agreed to participate (41.1% recruitment rate). The participant flow is illustrated in Fig. 1. In Round 2, 61 experts completed the survey (84.7% response rate), and in Round 3, 56 experts participated (77.8% response rate). A total of 50 experts (Panel 1: n = 24; Panel 2: n = 26) completed all rounds of the survey. Table 1 summarizes the demographic and professional characteristics of the respondents in each round. Slightly more than half of the participants were female at recruitment. Respondents were geographically diverse, representing 79% regions (15 out of 19) as defined by the United Nations geoscheme, with the majority residing in Europe and Asia. Over 60% of participants were employed in high-income countries, and the majority were affiliated with academic institutions. While the two panels were generally comparable, Panel 2 included a higher proportion of experts with over 20 years of professional experience compared to Panel 1 (35.9% vs 27.3%).

Table 1.

Characteristics of the participants

Round 1 (n=72) Round 2 (n=61) Round 3 (n=56)
Panel 1
(n=33)
Panel 2
(n=39)
Panel 1
(n=29)
Panel 2
(n=32)
Panel 1
(n=26)
Panel 2
(n=30)
Age, years, median (range) 48 (33,70) 45 (34,77) 48 (33,70) 44 (34,77) 48.5 (33,64) 45.0 (35,77)
Gender, female 17 (51.5%) 21 (53.8%) 15 (51.7%) 17 (53.1%) 14 (53.8%) 13 (43.3%)
Country of residence
 North America 3 (9.1%) 5 (12.8%) 2 (6.9%) 4 (12.5%) 2 (7.7%) 4 (13.3%)
 South America 2 (6.1%) 3 (7.7%) 1 (3.4%) 2 (6.3%) 1 (3.8%) 2 (6.7%)
 Europe 13 (39.4%) 18 (46.2%) 11 (37.9%) 14 (43.8%) 11 (42.3%) 13 (43.3%)
 Africa 4 (12.1%) 2 (5.1%) 4 (13.8%) 1 (3.1%) 2 (7.7%) 1 (3.3%)
 Asia 10 (30.3%) 7 (17.9%) 10 (34.5%) 7 (21.9%) 9 (34.6%) 6 (20.0%)
 Oceania 1 (3.0%) 4 (10.3%) 1 (3.4%) 4 (12.5%) 1 (3.8%) 4 (13.3%)
SES of the country of residence
 High-income 22 (66.7%) 27 (69.2%) 18 (62.1%) 22 (68.8%) 18 (69.2%) 21 (70.0%)
 Middle-income 7 (21.2%) 12 (30.8%) 7 (24.1%) 10 (31.3%) 7 (26.9%) 9 (20.0%)
 Low-income 4 (12.1%) 0 4 (13.8%) 0 1 (3.8%) 0
Highest Degree
 PhD 31 (91.2%) 39 (97.5%) 26 (89.7%) 32 (100.0%) 23 (88.5%) 29 (96.7%)
 Masters 3 (8.8%) 1 (2.5%) 3 (10.3%) 0 3 (11.5%) 1 (3.3%)
Current occupation*
 Clinical/health care provider 3 4 3 2 2 2
 Scientist/researcher 32 36 28 31 25 29
 Research manager/research assistant 1 0 1 0 1 0
Year of working experience
 ≤ 5 2 (6.1%) 4 (10.3%) 2 (6.9%) 4 (12.5%) 2 (7.7%) 4 (13.3%)
 6–10 4 (12.1%) 5 (12.8%) 4 (13.8%) 5 (15.6%) 3 (11.5%) 2 (6.7%)
 11–20 18 (54.5%) 16 (41.0%) 15 (51.7%) 12 (37.5%) 13 (50.0%) 13 (43.3%)
 21 + 9 (27.3%) 14 (35.9%) 8 (27.6%) 11 (34.4%) 8 (30.8%) 11 (36.7%)

Data are n (%) unless specified

*Non-single-choice question. SES: Socioeconomic status

Delphi Results

In Round 1, 71 respondents provided feedback on the applicability of the 15 initial indicators for the early years and their recommended inclusion in the report cards (see Additional File 4). Weight status (73.2% agreement) was the only indicator that did not meet the 75% threshold for inclusion. Inter-panel agreement was high for most indicators, except for Restrained Time and Motor Proficiency; however, both indicators still achieved over 75% agreement for inclusion (details provided in Additional File 5). Based on qualitative feedback, three major adjustments were made: (1) Overall Physical Activity and Tummy Time were consolidated into a single indicator, (2) Organised Sport and Physical Activity was renamed to Structured Physical Activity, and (3) the age range was revised to include children under 5 years, in alignment with the WHO guidelines, despite the recognition that 5- and 6-year-olds are considered preschoolers in several countries. In addition, definitions and benchmarks for the indicators were refined to enhance consistency and clarity, incorporating expert suggestions. Notable revisions include: (1) the addition of a benchmark requiring 30 min of moderate-to-vigorous physical activity for children aged 1–2 years under the Overall Physical Activity indicator, (2) the removal of the phrase “competitive and contest-based” from the Structured Physical Activity definition, (3) clarification of definition for Restrained Time, (4) the inclusion of a peer support-related benchmark for Family and Peers, (5) the recommendation to use the Health-Enhancing Physical Activity (HEPA) Policy Audit Tool Version 2 [33] for grading the Government indicator, and (6) revision of the Motor Proficiency benchmarks to reflect the potential use of normative values for motor skills among 3-to-4-year-olds, which are currently under development by an international project [29].

In the second round, 61 responses were received. The ratings between the two panels were consistent across all indicators (Additional File 6). While all indicators achieved over 80% agreement across the entire sample, Structured Physical Activity and Restrained Time received comparatively lower rating scores; agreement for these two indicators in Panel 2 fell slightly below 80%. Qualitative feedback was carefully reviewed by the project team to further refine the definitions and benchmarks. As a result, the requirements of 30 min of moderate-to-vigorous physical activity for children aged 1–2 years was removed from the Overall Physical Activity indicator. Additionally, it was recommended that a simple average approach be used for indicators with multiple benchmarks. Where appropriate, country-specific examples were incorporated into the definitions of certain indicators (e.g., Structured Physical Activity) to accommodate cultural differences. Feedback from the international project [29] indicated that normative values for motor skills would not be available in time for the development of the report cards in the near future. As a result, the lack of well-established benchmarks for Motor Proficiency was explicitly acknowledged and clearly stated in the revised benchmarks following Round 2.

In the third round, all indicators met the 75% agreement threshold for inclusion, except for Motor Proficiency (Table 2 and Additional File 7). Given the lack of well-established benchmarks for this age group, less than 75% of the respondents (65.3% of panel 1 and 73.3% of panel 2) agreed or strongly agreed to recommend Motor Proficiency in the early years report cards. The median and rating distributions between the two panels were not significantly different; however, agreement for Structured Physical Activity and Restrained Time as ‘important’ or above fell slightly below 75% in panel 1 (73.1%) and panel 2 (73.3%), respectively. Ratings remained stable between Round 2 and Round 3 for all indicators except Motor Proficiency, for which agreement was 72%, and the proportion of experts rating this indicator as ‘important’ or above declined from 90% in Round 2 to 74% in Round 3 (Table 3). After reviewing the qualitative feedback, the project team decided to exclude Motor Proficiency. Consequently, 12 indicators were finalised for inclusion in the report card on 24-h movement behaviours for children under 5 years. The finalised indicators, along with their definitions and benchmarks, are presented in Additional Files.

Table 2.

Comparisons of ratings between two panels in Round 3 (n = 56)

Indicators Median (IQR) % Very important + Important
Panel 1 (n = 26) Panel 2 (n = 30) p value Panel 1 (n = 26) Panel 2 (n = 30)
Overall Physical Activity 5 (0) 5 (0) 0.193 100.0 100.0
Structured Physical Activity 4 (2) 4 (1) 0.142 73.1 90.0
Active Play 5 (0.25) 5 (0) 0.782 100.0 100.0
Active Transportation 4 (1) 4.5 (1) 0.695 92.3 90.0
Sedentary Screen Time 5 (0) 5 (0) 0.519 96.2 100.0
Restrained Time 4 (1) 4 (2) 0.673 80.8 73.3
Sleep 5 (0) 5 (0) 0.804 100.0 100.0
Family and Peers 5 (1) 5 (1) 0.828 92.3 96.7
School / Early Childhood Education 5 (1) 5 (1) 0.649 96.2 100.0
Community and Environment 5 (1) 4 (1) 0.253 96.2 83.3
Government 5 (1) 4 (1) 0.512 92.3 86.7
24-Hour Movement Behaviours 5 (0.25) 5 (1) 0.362 96.2 90.0
Motor Proficiency
 Importance level 4 (2) 4 (2) 0.868 73.1 70.0
 Agreement level# 4 (1.25) 4 (1.25) 0.498 65.4 73.3

IQR: interquartile range. p values are based on Mann–Whitney U tests

Note: Participants rated the importance level for each indicator to be included in the report card using a 5-point Likert scale (1 = not important, 2 = of little importance, 3 = moderately important, 4 = important, 5 = very important)

#given the significant update to the benchmark for this indicator following round 2, an extra question was asked in Round 3 – “Taking into consideration lack of available benchmarks, do you agree on including ‘Motor Proficiency or Gross Motor Skills’ in the report card?” A 5-point Likert scale was employed (1 = strongly disagree, 2 = disagree, 3 = neither agree nor disagree, 4 = agree, 5 = strongly agree)

Table 3.

Stability of ratings between Round 2 and Round 3

Indicator Exact agreement (%) Within one point (%) % Very important + Important Median (IQR)
Round 2 Round 3 Round 2 Round 3 p value
Overall Physical Activity 96 98 96 100 5 (0) 5 (0) 0.197
Structured Physical Activity 84 94 80 84 4 (1) 4 (1) 0.932
Active Play 92 96 92 100 5 (1) 5 (0) 0.087
Active Transportation 90 94 88 90 4 (1) 4 (1) 0.369
Sedentary Screen Time 98 98 96 98 5 (0) 5 (0) 0.190
Restrained Time 86 98 82 76 4 (1) 4 (1) 0.221
Sleep 98 100 98 100 5 (0) 5 (0) 1.000
Family and Peers 92 96 98 94 5 (1) 5 (1) 0.519
School / Early Childhood Education 94 100 96 98 5 (1) 5 (1) 0.637
Community and Environment 92 96 98 90 5 (1) 5 (1) 0.060
Government 88 96 94 90 5 (1) 4.5 (1) 0.694
24-Hour Movement Behaviours 90 94 94 92 5 (0) 5 (1) 0.672
Motor Proficiency 72 90 90 74 4 (1) 4 (2) 0.099

Based on data from participants who completed both Round 2 and Round 3 (n = 53)

IQR: interquartile range. p values are based on Wilcoxon Signed-Rank Tests

Discussion

Main Findings

This study represents the first global attempt to develop a harmonised set of indicators, definitions, and benchmarks for the first dedicated report card on 24-h movement behaviours in children under 5 years. By employing a rigorous twin-panel Delphi survey, expert consensus was achieved on 12 relevant indicators, providing a standardised framework that can be adapted across diverse cultural and geographical contexts. The novelty of this work lies in its global perspective, addressing the need for a unified approach to monitoring and promoting healthy movement behaviours in early years children.

The findings demonstrate strong expert agreement on including 24-h movement behaviours or its subcomponents—including Overall Physical Activity, Active Play, Active Transportation, Sedentary Screen Time, and Sleep—reflecting their well-established importance in the literature and alignment with the WHO guidelines [4]. Moreover, all sources of influence factors—including Family and Peers, School/Early Childhood Education, Community and Environment, and Government—consistently achieved high agreement for inclusion. These results reinforce the social ecological model’s emphasis on multifaceted influences shaping young children’s movement behaviours [3436]. This structure is also consistent with the well-established Global Matrix Report Card format used by the AHKGA in more than 70 countries [14]. The broad consensus of experts from around the world underscores these indicators’ global relevance and practical applicability of this set of indicators for population-level monitoring.

However, experts highlighted important contextual considerations regarding specific operationalisations, examples, and age-range applicability of some indicators across different countries. Two indicators—Structured Physical Activity and Restrained Time—while meeting the 75% inclusion threshold, generated substantial debate in qualitative feedback. For Structured Physical Activity, some experts questioned its developmental appropriateness for young children and advocating sport instead of active play. Yet in countries with established traditions of organised physical activity programs for preschoolers (e.g., Canada, Japan), this indicator was deemed highly relevant [37, 38]. In low- and middle-income countries, however, its relevancy was questioned. Evidence supporting benefits of both structured and unstructured moderate-to-vigorous physical activity for physical and mental health for the early years [39, 40] justified retaining this indicator while acknowledging the need for culturally appropriate interpretations. Similarly, Restrained Time provoked discussion due to limited direct evidence supporting its health impacts [41], despite WHO guidelines recommending that children under 5 years should not be restrained for more than one hour at a time [4]. Studies examining adherence to early years’ 24-h movement guidelines have generally not included this recommendation [4244]. Nevertheless, to align with the WHO guidelines, this indicator was retained. Future research should strengthen operational definitions and investigate its associations with health outcomes in the early years to better inform indicator utility.

Notably, Weight Status and Motor Proficiency were excluded due to insufficient agreement. While Weight Status was the second most frequently included additional indicator in Global Matrix 4.0 report cards [18], its benchmarks vary significantly across jurisdictions. In our study, experts expressed divergent views on assessment parameters (e.g., normal weight, stature, underweight) and benchmark determination. A prominent concern was the potential for obesity-focused metrics to overshadow the behaviour and influence indicators, ultimately leading to this indicator’s removal after the first round. Regarding Motor Proficiency, while experts acknowledged the well-documented importance of motor competence for young children [45, 46], consensus was hindered by inconsistent terminology in the literature (e.g., motor competence, motor ability, or fundamental movement skills) and conceptual ambiguity [47]. Motor competence encompasses multifaceted constructs like postural stability, locomotion, and object manipulation [48], with recent frameworks proposing four distinct, interconnected domains measurable through both process- and product-oriented assessments [49]. This complexity complicates standardised assessment development. Although tools like the Test of Gross Motor Development-2 (TGMD-2) [50] and the NIH Toolbox [29] exist and have been employed in previous studies, benchmarks selection remains contentious. Modelled after approaches for school-aged children and adolescents [51, 52], normative values from an international preschool study [29] were proposed for consideration in the Round 2 survey. However, this proposal faced two key challenges: (1) the absence of normative data in many countries which has also been reported in the literature (e.g., Ireland’s physical education curriculum lacks explicit motor competence benchmarks [48]), and (2) concerns that norms derived from contemporary young populations may not represent optimal motor competence levels necessary for health and development. Given these unresolved challenges in definition, assessment, and benchmarking, the decision to exclude Motor Proficiency at this stage was justified to maintain the report card’s clarity and feasibility for global implementation. This decision does not diminish the importance of motor proficiency in early childhood. In the future, once appropriate benchmarks are established, this indicator should be seriously considered for inclusion in report cards.

Implications of the Findings

This study addresses a critical translational gap by establishing the first standardised, consensus-driven framework for monitoring and reporting 24-h movement behaviours in early childhood. The findings have significant implications across surveillance, research, and policy domains. First, the harmonised indicators and adaptable benchmarks enable immediate development of dedicated national/jurisdictional report cards for the early years, creating robust monitoring systems essential for tracking progress toward WHO guideline targets [20] and making inter-jurisdictional comparisons. Second, the identified evidence gaps, particularly regarding restrained time and motor competence, underscore the need for coordinated multinational studies using these standardised indicators to establish global prevalence data and refine benchmarks. Third, the framework’s socioecological structure provides policymakers an actionable template through two critical features: (1) culturally adaptable benchmarks that emerged as a critical need from expert feedback, and (2) modular components that can be tailored to local contexts. These features are particularly vital for low- and middle-income countries, where the framework’s flexibility helps overcome infrastructure and resource limitations without compromising global data comparability. Finally, the framework’s synergy with the established AHKGA Global Matrix report cards for school-aged children and adolescents [13] creates an unprecedented life-course monitoring system, allowing jurisdictions to consistently track behavioural trajectories across developmental stages and identify critical transition periods.

Strengths and Limitations

This study has several strengths, including the participation of experts with an approximately equal gender distribution and representation from diverse geographic regions, socioeconomic backgrounds, and professional experiences. The use of a twin-panel design enhanced cross-validation, while predefined criteria for agreement, including stability across rounds [32], strengthened the robustness of the findings. However, several limitations must also be acknowledged. Despite a recruitment rate comparable to previous studies [24, 53], about 60% of the invited experts did not participate. The findings cannot represent the views of the non-respondents. Additionally, the selection of panel members may have introduced potential bias due to the possible over-representation of perspectives from high-income countries. However, the respondents in this study represented 79% of the geographic regions as defined by the United Nations, indicating a reasonable degree of geographical diversity. Furthermore, the proportion of respondents from low- and middle-income countries (~ 30%) was higher than that reported in previous Delphi surveys [24, 53]. Furthermore, the study primarily relied on expert opinions and did not include the opinions of key stakeholders such as parents, teachers, and caregivers, whose insights are critical for enhancing the practical applicability and cultural relevance of the report card indicators. Qualitative feedback occasionally revealed discrepancies within and between panels, highlighting the challenges of achieving universal consensus on benchmarks. This was particularly evident for Motor Proficiency, where the lack of established benchmarks and significant modifications of the benchmarks following the first two rounds may have influenced experts’ agreement. Future research should explore the implementation of report cards in different countries and regions, incorporate feedback from various stakeholders, and assess its practicality and impact.

Conclusion

Through a three-round twin-panel Delphi survey, expert consensus was achieved on 12 relevant indicators for inclusion in a dedicated report card on 24-h movement behaviours for children under 5 years. The harmonised definitions and benchmarks developed in this study provide a robust foundation for creating a standardised report card. This tool will serve as a critical advocacy instrument to raise awareness, improve surveillance, facilitate cross-country comparisons, and inform policy and public health initiatives, ultimately supporting the health and well-being of young children globally.

Supplementary Information

Supplementary file1 (267.7KB, docx)

Acknowledgements

The authors would like to thank all the experts (a full list of experts shown in the Additional File 1) for their participation and for the insightful feedback they provided. We are also thankful to the two scholars (Dr Jie Feng and Mr Sitong Chen) who helped in the piloting survey.

Eivind Aadland (Western Norway University of Applied Sciences, Norway), Nicolas Aguilar-Farias (Universidad de La Frontera, Chile), Devan Antczak (University of Wollongong, Australia), Liane Azevedo (Sheffield Hallam University, United Kingdom), Farid Bardid (University of Strathclyde, Scotland), Catherine M. Capio (Hong Kong Metropolitan University, China), Angela Carlin (Ulster University, Northern Ireland), Valerie Carson (University of Alberta, Canada), Zhenya Chang (Changsha Normal University, China), Michael Yong Hwa Chia (Nanyang Technological University, Singapore), Silvia Costa (Loughborough University, United Kingdom), Yolanda Demetriou (University of Tübingen, Germany), Marsha Dowda (University of South Carolina, United States), Catherine E Draper (University of the Witwatersrand, South Africa), Susan Edwards (Australian Catholic University, Australia), Vladimir Essau Martínez-Bello (University of Valencia, Spain), Hongyan Guan (Capital Center for Children's Health, Capital Medical University; Capital Institute of Pediatrics), Asmaa E.L. Hamdouchi (CNESTEN, Morocco), Sandra Hansmann (Universitätsklinikum Tübingen, Germany), Elisabeth Straume Haugland (Western Norway University of Applied Sciences, Norway), Jaroslaw Herbert (Rzeszów University, Poland), Marianella Herrera (Framingham State University, United States), Kylie Hesketh (Deakin University, Australia), Stephen Hunter (University of Alberta, Canada), Justin Jeon (Yonsei University, Korea), Fan Jiang (Shanghai Jiao Tong University, China), Jaak Jürimäe (University of Tartu, Estonia), Sebastian Kerzel (Universität Regensburg, Germany), Hyunshik Kim (Sendai University, Japan), Susi Kriemler (University of Zurich, Switzerland), Nicholas Kuzik (Children’s Hospital of Eastern Ontario Research Institute, Canada), Eun-Young Lee (Queen’s University, Canada; Yonsei University, South Korea), Cong Liu (The University of Hong Kong, China), Yang Liu (Shanghai University of Sport, China), Marie Löf (Karolinska Institute, Sweden), Himangi Lubree (KEM Hospital Research Centre, India), Marlene Rosager Lund Pedersen (University of Southern Denmark, Denmark), Daga Makaza (National University of Science and Technology, Zimbabwe), Taru Manyanga (University of Northern British Columbia, Canada), Clarice Martins (University of Porto, Portugal), Shawnda A. Morrison (University of Ljubljana, Slovenia), Jorge Mota (University of Porto, Portugal), Rowena Naidoo (University of KwaZulu-Natal, South Africa), Nelson Nardo Junior (State University of Maringa, Brazil), Paulina Nowicka (Uppsala University, Sweden), Christine Delisle Nyström (Karolinska Institute, Sweden), Timothy Olds (University of South Australia, Australia), Line Grønholt Olesen (Steno Diabetes Center Aarhus, Denmark), Vincent O. Onywera (KCA University, Kenya), Sabine Plancoulaine (French Institute of Health and Medical Research, France), Bee Koon Poh (Universiti Kebangsaan Malaysia, Malaysia), Alessandra Prioreschi (University of the Witwatersrand, South Africa), John J. Reilly (University of Strathclyde, Scotland), Blanca Roman-Viñas (Ramon Llull University, Spain), Rute Santos (University of Minho, Portugal), Diego Augusto Santos Silva (Federal University of Santa Catarina, Brazil), Olga Lucia Sarmiento (Universidad de los Andes, Colombia), John Scriven (Move Well, Jersey), Mohd Razif Shahril (Universiti Kebangsaan Malaysia, Malaysia), Ann-Christin Sollerhed (Kristianstad University, Sweden), Martyn Standage (University of Bath, United Kingdom), Gareth Stratton (Swansea University, United Kingdom), Tim Takken (University Medical Center Utrecht, Netherlands), Chiaki Tanaka (Tokyo Kasei Gakuin University, Japan), Brian W. Timmons (McMaster University, Canada), Simone Tomaz (University of Stirling, United Kingdom), Grant R. Tomkinson (University of South Australia, Australia), Patricia Tucker (Western University, Canada), Leigh M. Vanderloo (ParticipACTION, Canada), Guanghai Wang (Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, China), Sunyue Ye (Jiaxing University, China), Long Yin (Hengyang Normal University, China; Hunan Normal University, China).

Abbreviations

WHO

World Health Organization

AHKGA

Active Healthy Kids Global Alliance

CREDES

The Guidance on Conducting and Reporting Delphi Studies

Author Contributions

WYH conceived the study, with ongoing development of study design supported by MST, MCSW, CHPS, SWSW, DKCC, and SHSW. WYH and DQZ designed the surveys, collected and analysed data. All authors helped synthesise the qualitative feedback and were involved in discussion and interpretation of survey results. WYH drafted the manuscript. All authors critically revised the manuscript and approved the final version.

Funding

WYH was supported by the Research Grants Council Research Fellow Scheme (RFS) from the Government of the Hong Kong Special Administrative Region (# RFS2324-2H01).

Availability of Data and Materials

The anonymised dataset from the three-round survey is available from the corresponding author on reasonable request.

Declarations

Ethics Approval and Consent to Participate

The study was approved by the Research Ethics Committee of Hong Kong Baptist University (#REC/22–23/0318). All participants gave electronic informed written consent by submitting their responses to the online survey.

Consent for Publication

Not applicable.

Competing interests

The authors declare that they have no conflicts of interest relevant to the content of this research study.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Change history

8/19/2025

The original article has been updated to correct an affiliation in the Acknowledgements.

Contributor Information

Wendy Y. Huang, Email: wendyhuang@hkbu.edu.hk

The Collaborative Author Group:

Eivind Aadland, Nicolas Aguilar-Farias, Devan Antczak, Liane Azevedo, Farid Bardid, Catherine M. Capio, Angela Carlin, Valerie Carson, Zhenya Chang, Michael Yong Hwa Chia, Silvia Costa, Yolanda Demetriou, Marsha Dowda, Catherine E. Draper, Susan Edwards, Vladimir Essau Martínez-Bello, Hongyan Guan, Asmaa E. L. Hamdouchi, Sandra Hansmann, Elisabeth Straume Haugland, Jaroslaw Herbert, Marianella Herrera, Kylie Hesketh, Stephen Hunter, Justin Jeon, Fan Jiang, Jaak Jürimäe, Sebastian Kerzel, Hyunshik Kim, Susi Kriemler, Nicholas Kuzik, Eun-Young Lee, Cong Liu, Yang Liu, Marie Löf, Himangi Lubree, Marlene Rosager Lund Pedersen, Daga Makaza, Taru Manyanga, Clarice Martins, Shawnda A. Morrison, Jorge Mota, Rowena Naidoo, Nelson Nardo Junior, Paulina Nowicka, Christine Delisle Nyström, Timothy Olds, Line Grønholt Olesen, Vincent O. Onywera, Sabine Plancoulaine, Bee Koon Poh, Alessandra Prioreschi, John J. Reilly, Blanca Roman-Viñas, Rute Santos, Diego Augusto Santos Silva, Olga Lucia Sarmiento, John Scriven, Mohd Razif Shahril, Ann-Christin Sollerhed, Martyn Standage, Gareth Stratton, Tim Takken, Chiaki Tanaka, Brian W. Timmons, Simone Tomaz, Grant R. Tomkinson, Patricia Tucker, Leigh M. Vanderloo, Guanghai Wang, Sunyue Ye, and Long Yin

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Associated Data

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

Supplementary Materials

Supplementary file1 (267.7KB, docx)

Data Availability Statement

The anonymised dataset from the three-round survey is available from the corresponding author on reasonable request.


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