Literature DB >> 27724941

More active pre-school children have better motor competence at school starting age: an observational cohort study.

Lisa M Barnett1, Jo Salmon2, Kylie D Hesketh2.   

Abstract

BACKGROUND: Almost half of young children do not achieve minimum recommendations of 60 daily minutes in physical activity. Physical activity is potentially an important determinant of the development of motor competence in children. This study is one of very few longitudinal studies in this area and the first to investigate early childhood physical activity as a predictor of subsequent motor skill competence.
METHODS: Children were assessed as part of the Melbourne InFANT Program longitudinal cohort study at 19 months, 3.5 years and 5 years. Moderate-to-vigorous physical activity (MVPA) (accelerometry) was assessed at each time point. At age 5, children were also assessed in actual (Test of Gross Motor Development-2) and perceived motor competence (Pictorial Scale of Perceived Movement Skill Competence). General linear models were performed with all 12 skills (six object control and six locomotor skills), both actual and perceived, at age 5 as the respective outcome variables. Predictor variables alternated between MVPA at 19 months, 3.5 years and 5 years.
RESULTS: Based on standardized TGMD-2 scores most children were average or below in their skill level at age 5. MVPA at 19 months was not a predictor of actual or perceived skill at age 5. MVPA at 3.5 years was associated with actual locomotor skill (B = 0.073, p = 0.033) and perceived total skill at 5 years of age (B = 0.059, p = 0.044). MVPA was not a predictor of actual or perceived object control skill at any age.
CONCLUSION: Parents and preschool staff should be informed that more time in MVPA as a preschool child contributes to locomotor skill and to perceptions of skill ability in a child of school starting age. Understanding this relationship will assist in intervention development.

Entities:  

Keywords:  Early childhood; Longitudinal, fundamental movement skill; Object control skill; Physical activity; Toddlers

Mesh:

Year:  2016        PMID: 27724941      PMCID: PMC5057262          DOI: 10.1186/s12889-016-3742-1

Source DB:  PubMed          Journal:  BMC Public Health        ISSN: 1471-2458            Impact factor:   3.295


Background

Just under half of children aged from 2 to 6 years achieve 60 min per day in physical activity [1]. Given that this is a minimum recommendation in this age range, this is a serious concern. Focusing on physical activity promotion in this age range is important as physical activity behaviors established during early childhood may track into later childhood [2] and adolescence [3]. Motor competence in children has gained credence in the last decade as an important correlate of physical activity and other health related behaviours and outcomes [4], including higher cardiorespiratory fitness and healthier weight status [5]. Motor competence is a broad term that encompasses fundamental movement skill ability, including locomotor, object control and stability factors [6], and motor coordination [4]. Previously it has been hypothesized that children with better motor competence participate in higher levels of physical activity and that this in turn helps to further develop higher actual and perceived motor competence [7]. Countless sporting activities and games need competence in fundamental motor skills (e.g., running, jumping, catching, throwing) to enable physical activity participation [4]. Now, close to a decade later, there is convincing evidence that physical activity and actual motor skill competence are associated in children and youth [4, 5, 8]. In addition, high perceptions of physical competence contribute to increased physical activity in children and youth [9]. Yet as most evidence is cross-sectional, the relationship between physical activity and actual and perceived motor competence is not fully understood. The inherent hypothesis posed by Stodden and colleagues [7] in terms of the relationship between motor competence and physical activity being important in both directions has had limited testing [4, 10]. More is known about the skill to physical activity relationship than the physical activity to skill relationship. These relationships are hypothesized to differ at different stages, i.e., engagement in physical activity is important for the development of motor competence but then as children develop, motor competence is of more importance for physical activity participation. In a path analysis study in adolescents, Barnett and colleagues found a reciprocal relationship between object control skill competence and physical activity, but a one way relationship from physical activity to locomotor skills. Perceived competence acted as a mediator in both proposed path directions, although the strength differed [10]. There are few longitudinal studies to draw from. The northern Finland Birth Cohort found that age at walking supported and age at standing unaided predicted sports participation at 14 years [11]. Studies in older children found childhood motor skill competence (age 10 and age six respectively) was a predictor of subsequent physical activity [12, 13] and physical activity in Grade 7 was a predictor of motor competence in Grade 8, but only for boys [14]. No longitudinal study to our knowledge has examined physical activity as a determinant of actual or perceived motor competence in very young children. A systematic review in preschool children determined physical activity was a key cross-sectional correlate of motor competence [15] indicating that it is worthwhile to investigate such associations at this young age. Understanding more about the role of physical activity in the development of motor competence in young children will potentially help inform recommendations and advice to parents, carers, health professionals and educators of children in this age group. This study therefore sought to investigate whether physical activity in the toddler and/or preschool years influences subsequent motor skill competence at school starting age (5 years). The hypothesis was that physical activity behaviour would predict actual and perceived motor competence.

Methods

Participants and setting

Children were part of the Melbourne Infant Feeding, Activity and Nutrition Trial (InFANT). The Melbourne InFANT Program was originally a 15-month obesity prevention intervention targeted to first-time parents and their infants from 4 months of age from 2008 to 2010, with post-intervention follow up at child age 19 months, 3.5 years and 5 years [16]. Parents were recruited through first time parent groups operated by universal access child health centers in randomly selected geographically based government areas. The intervention was conducted with 542 parent–child pairs from 62 different parent groups, and at intervention conclusion there were a total of 492 families still enrolled. Data for these analyses are drawn from three follow-up time points: 19 months, 3.5 years and 5 years of age. Children from both intervention and control groups were included as for the current study it is not important to distinguish between these groups, although all models did adjust for intervention status. Children completed physical activity assessment at 19 months, 3.5 and 5 years. Children completed actual and perceived motor competence assessments at 5 years only in 2013.

Measures

Parents completed a written self-report questionnaire, which provided demographic information about the responding parent (parent country of birth, language spoken most at home, residential socioeconomic position, employment when child was 5 years old, and highest level of education) [16]. At 19 months, 3.5 and 5 years children’s physical activity levels were measured every 15 s for eight consecutive days using hip-mounted ActiGraph GT1M accelerometers. Children were instructed to wear the monitor during all waking hours except during water-based activities. The total time spent in moderate-vigorous intensity physical activity per day (MVPA) was the predictor variable in each model. The average time spent in MVPA per day and average daily wear time were computed using data collected on each valid day (defined as 444+ mins, 7.4 h of data). To be included in analyses, children were required to have worn the monitor for any four days or more; this could include weekend or weekdays. Accelerometer data were initially downloaded using ActiLife Software (version 5.10) and then analyzed using customised Excel macros. At each assessment point, non-wear time was defined as 20 min of consecutive zeroes; commonly used to define non-wear in children [17]. The Evenson cut points were used to define MVPA (2296–4011 counts per minute [cpm] for moderate, and ≥4012 cpm for vigorous) for all three time points [18]. These cut-points have been validated and found to provide acceptable classifications of MVPA in toddlers [19] and children [20]. At age 5, children were assessed using the Test of Gross Motor Development- 2nd Edition (TGMD-2) on 12 skills; six locomotor (run, gallop, hop, leap, horizontal jump, and slide) and six object control skills (striking a stationary ball, stationary dribble, kick, catch, overhand throw, and underhand roll) according to established protocols [21]. Each skill was performed twice and each attempt was scored with each component of the skill receiving a ‘1’ if correctly executed or a ‘0’ if not. Scores of the two trials were summed to obtain a raw score for each skill. Each actual skill score was summed (total skill possible range 0–96, locomotor 0–48, object control 0–48). Object control and locomotor scores were also standardized by age and sex according to the TGMD-2 protocol [21] for descriptive information only. All children were assessed in the home setting and assessments were video recorded. Videos were later coded by two experienced raters who had been shown to have acceptable intra-rater reliabity in other studies [22]. Inter-rater reliability using Intra Class Correlations (ICC) was assessed on a subsample of 30 children in this study at age 5 years for all 12 skills (ICC = 0.76, 95 % CI 0.56, 0.88). At age 5, the Pictorial Scale for Perceived Movement Skill Competence for Young Children (PMSC) was used to assess children’s perceptions of their own motor competence. This pictorial instrument assesses the same 12 skill items as the TGMD-2. Skills for each subscale on the PMSC are ordered so that a cartoon image of a child performing a skill competently is next to an image of a child performing a skill not as competently [23]. First, children select between the picture portraying a child who is competent in a skill and the picture portraying a child who is not so competent. Whilst the child is looking at the selected picture they are then asked to discriminate their level of competence: “really good” versus “pretty good”, or “not that good” versus “sort of good”, dependent on their initial competence response. For example, “this child is pretty good at hopping, this child is not that good at hopping, which child is like you?”. If children select the competent picture they are asked: ‘are you really good at…’ (score of four) or ‘pretty good at….’ (score of three), if children pick the not so competent picture, they are asked: ‘are you not that good at (score of one) or sort of good at….’ (score of two). The result is a four point Likert scale variable (range 1–4). Whilst the score for each item cannot be considered as continuous, the perceived skill scores for each item are then summed to provide a total score (possible range 12–48), locomotor score (6–24) and object control score (6–24); and these scores are treated as continuous. An extensive description of the PMSC protocol is provided elsewhere [24]. Previous research has established acceptable test-retest reliability, internal reliability and face validity of the 12 skills items in the PMSC [24]. Construct validity for the perceived skills has also been found to be acceptable using the data from the current study [25].

Analysis

Of the 492 families enrolled at intervention completion (age 19 months), over half this group (n = 272, 55.3 %) were assessed at 5 years of age for actual and perceived competence. To be included in the current analysis children also needed to have data for MVPA at any of the respective predictor time points (19 months, 3.5 years and 5 years). One outlier was excluded from the 19 month old models due to uncharacteristically high physical activity (considered likely to be spurious). Another outlier was excluded due to an extremely uncharacteristic low perceived skill score. As the summed perceived skill score was negatively skewed, models were run with the untransformed variable and the log transformed variable; if there was no difference in significance and estimates, the model with the untransformed variable was presented for ease of interpretation. Independent t tests were used to check whether a) children with valid physical activity data at 19 months, 3.5 years and 5 years were any different in terms of actual movement skill at age 5 years to those children without valid physical activity data and b) more active children remained in the study at age 5 years (using MVPA at first measurement i.e., 19 months). Initially linear mixed models were performed which enabled variance at the level of parent group to be accounted for. Models had a) the sum of 12 skills, locomotor and object control at age 5 (using the raw scores) and b) the sum of 12 perceived skills, locomotor and object control as the outcome variables. Model 1 had MVPA at 19 months as the predictor (n = 185), Model 2 had MVPA at 3.5 years (n = 116) and Model 3 had MVPA at age 5 years (n = 126). Each model adjusted for original intervention/control classification, sex, age and valid monitor wear time days. The models with MVPA at 19 months as the predictor also adjusted for age at first walking, a potential confounder of infant MVPA [26]. When parent group was found to not account for any variance, models were all rerun as general linear models. The parameter estimates did not differ between the simple and mixed models, but the standard errors were inflated in the mixed models, hence a simple fixed effects model was preferred.

Results

There were no differences in actual movement skill at age 5 between children who had valid physical activity data and children who did not at any time point. Those who remained in the sample had a trend to be less active at 19 months old than those who dropped out (28 min per day compared to 25 min, p = 0.050). Descriptive data for the parent sample (based on the time point with the largest number of parents) is presented in Table 1. Parent respondents were largely mothers born in Australia who spoke English at home. Around 60 % of respondent parents were working part- or full-time and a similar proportion had a university education.
Table 1

Descriptive data for the parent sample that were included when their child was 19 months (n = 193)

Characteristicn%
Residential Socioeconomic positionHigh3719.2
Medium12363.7
Low3317.1
Respondent ParentMother18495.3
Country of birthAustralia15881.9
Main language spoken at homeEnglish18696.4
Employment statusWorking full or part time11358.5
Education levelUniversity degree or higher11660.1
Descriptive data for the parent sample that were included when their child was 19 months (n = 193) Most children (n = 164, 84.0 %) were not attending school at 5 years old. Children’s MVPA at each time point and actual and perceived skills at age 5 are described in Table 2. Children were least active at 19 months, and most active at 5 years old. Average perceived skill was 41.4 out of a possible 48 (range of 29 to 48), showing children tended to respond on average between ‘pretty good’ and ‘really good’ for each skill. Based on standardized TGMD scores nearly all children were average (object control n = 81, 63.8 %, locomotor n = 87, 68.5 %), or below average (object control n = 35, 27.6 %, locomotor n = 31, 24.4 %) in their skill level at age 5.
Table 2

Child sample, MVPA at each time point and actual and perceived skills at age 5

SampleMVPAActual skillPerceived skill
AgeTotalBoysGirlsProportion of InFANT sample (n = 492)Minutes p/dayTotal (0–96)Locomotor (0–48)Object Control (0–48)Total (12–48)Locomotor (6–24)Object Control (6–24)
M (SD)Nn (%)n (%)%M (SD)M (SD)M (SD)M (SD)M (SD)M (SD)M (SD)
19.0 mths (2.2)19398 (50.8)95 (49.2)39.225.1 (9.4)
3.5 years (0.2)11853 (44.9)65 (55.1)24.042.5 (16.1)
5.0 years (0.1)12759 (46.5)68 (53.5)25.852.8 (17.9)49.7 (9.7)26.0 (5.5)23.3 (6.1)41.4 (4.7)21.1 (2.3)20.3 (2.9)
Child sample, MVPA at each time point and actual and perceived skills at age 5

MVPA as a predictor of total skill competence at age 5 years

MVPA at 19 months was not a predictor of total skill (actual or perceived) at age 5. MVPA at 3.5 years was predictive of perceived total skill at age 5 years (B = 0.059, p = 0.044) and approached significance for actual skill at age 5 years (B = 0.109, p = 0.059). MVPA at 5 years was not associated with total skill (actual or perceived). See Table 3.
Table 3

MVPA at each age (19 months, 3.5 years, 5 years) as a predictor of actual total skill and perceived total skill at age 5 years

MVPA 19 mths as predictor of: (corrected total n = 185)MVPA 3.5 years as predictor of: (corrected total n = 116)MVPA 5 years as predictor of: (corrected total n = 126)
BStd errorP95 % LCI, UCIBStd errorP95 % LCI, UCIBStd errorP95 % LCI, UCI
Actual Total Skill Age 5
−.116.073.117−.260,.029.109.057.059−.004,.222.078.050.121−.021,.178
Sex (boy)*, Age*.No sig. adjustment variablesNo sig. adjustment variables
Perceived Total Skill Age 5
−.028.037.446−.102,.045.059.029.044*.002,.116.016.025.514−.033,.066
No sig. adjustment variablesNo sig. adjustment variablesNo sig. adjustment variables

Note. LCI lower confidence interval, UCI upper confidence interval. All models adjusted for monitor wear time and age at the time MVPA was assessed, sex of child and original treatment group. The models at 19 months old also adjusted for age at first walking. Significant adjustment variables are specified with *p < 0.05

Any model with perceived competence as the outcome in which MVPA was significant or close to significance (p < .1) was rerun with the transformed log of perceived competence. As the outcome did not change, the untransformed variable is used for ease of interpretation

MVPA at each age (19 months, 3.5 years, 5 years) as a predictor of actual total skill and perceived total skill at age 5 years Note. LCI lower confidence interval, UCI upper confidence interval. All models adjusted for monitor wear time and age at the time MVPA was assessed, sex of child and original treatment group. The models at 19 months old also adjusted for age at first walking. Significant adjustment variables are specified with *p < 0.05 Any model with perceived competence as the outcome in which MVPA was significant or close to significance (p < .1) was rerun with the transformed log of perceived competence. As the outcome did not change, the untransformed variable is used for ease of interpretation

MVPA as a predictor of object control skill at age 5 years

MVPA at any age was not associated with object control skill (actual or perceived) at age 5 years. See Table 4.
Table 4

MVPA at each age (19 months, 3.5 years, 5 years) as a predictor of actual and perceived object control skill at age 5 years

MVPA 19 mths as predictor of: (corrected total n = 185)MVPA 3.5 years as predictor of: (corrected total n = 116)MVPA 5 years as predictor of: (corrected total n = 126)
BStd errorP95 % LCI, UCIBStd errorP95 % LCI, UCIBStd errorP95 % LCI, UCI
Actual Object Control Skill Age 5
−.061.046.185−.153, .030.032.034.348−.035,.098.029.031.356−.033,.090
Age*, Sex (Boy)**Age*, Sex (Boy)*Sex (Boy)*
Perceived Object Control Skill Age 5
−.032.022.151−.077,.012.033.017.061−.002,.067.011.015.483−.020, .041
Sex (Boy)*Treatment group (Control)*No sig. adjustment variables

Note. LCI lower confidence interval, UCI upper confidence interval. All models adjusted for monitor wear time and age at the time MVPA was assessed, sex of child and original treatment group. The models at 19 months old also adjusted for age at first walking. * p < 0.05, **p < 0.001

Any model with perceived competence as the outcome in which MVPA was significant or close to significance (p < .1) was rerun with the transformed log of perceived competence. As the outcome did not change the untransformed variable is used for ease of interpretation

MVPA at each age (19 months, 3.5 years, 5 years) as a predictor of actual and perceived object control skill at age 5 years Note. LCI lower confidence interval, UCI upper confidence interval. All models adjusted for monitor wear time and age at the time MVPA was assessed, sex of child and original treatment group. The models at 19 months old also adjusted for age at first walking. * p < 0.05, **p < 0.001 Any model with perceived competence as the outcome in which MVPA was significant or close to significance (p < .1) was rerun with the transformed log of perceived competence. As the outcome did not change the untransformed variable is used for ease of interpretation

MVPA as a predictor of locomotor skill at age 5 years

MVPA at 19 months was not a predictor of locomotor skill (actual or perceived) at age 5. MVPA at 3.5 years was predictive of actual locomotor skill at age 5 years (B = 0.073, p = 0.033), but not perceived locomotor skill. At 5 years, MVPA was not cross-sectionally associated with locomotor skill (actual or perceived). See Table 5.
Table 5

MVPA at each age (19 months, 3.5 years, 5 years) as a predictor of actual and perceived locomotor skill at age 5 years

MVPA 19 mths as predictor of: (corrected total n = 185)MVPA 3.5 years as predictor of: (corrected total n = 116)MVPA 5 years as predictor of: (corrected total n = 126)
BStd errorP95 % LCI, UCIBStd errorP95 % LCI, UCIBStd errorP95 % LCI, UCI
Actual Locomotor Skill Age 5
−.048.042.251−.131, .035.073.034.033*.006,.139.043.029.134−.014,.100
No sig. adjustment variablesSex (Girl)*No sig. adjustment variables
Perceived Locomotor Skill Age 5
.004.019.842−.034,.042.026.015.085−.004,.056.006.012.651−.019, .030
No sig. adjustment variablesNo sig. adjustment variablesNo sig. adjustment variables

Note. LCI lower confidence interval, UCI upper confidence interval. All models adjusted for monitor wear time and age at the time MVPA was assessed, sex of child and original treatment group. The models at 19 months old also adjusted for age at first walking. Significant adjustment variables are specified with *p < 0.05

Any model with perceived competence as the outcome in which MVPA was significant or close to significance (p < .1) was rerun with the transformed log of perceived competence. As the outcome did not change the untransformed variable is used for ease of interpretation

MVPA at each age (19 months, 3.5 years, 5 years) as a predictor of actual and perceived locomotor skill at age 5 years Note. LCI lower confidence interval, UCI upper confidence interval. All models adjusted for monitor wear time and age at the time MVPA was assessed, sex of child and original treatment group. The models at 19 months old also adjusted for age at first walking. Significant adjustment variables are specified with *p < 0.05 Any model with perceived competence as the outcome in which MVPA was significant or close to significance (p < .1) was rerun with the transformed log of perceived competence. As the outcome did not change the untransformed variable is used for ease of interpretation

Discussion

This study explored whether early physical activity behaviour impacts on subsequent actual or perceived motor competence. We found that children had positive perceptions overall. MVPA at age 3.5 years was predictive of perceived total skill. MVPA in preschool years predicted locomotor but not object control skills. Stodden et al. [7] postulated that, in young children, engagement in physical activity is important for the development of motor competence but then as children develop, motor competence is of more importance for physical activity participation. Our findings support the first part of this hypothesis, in that MVPA in the preschool years did contribute to subsequent motor competence in the current sample. A recent review concluded that whilst there is strong evidence of an association between motor competence and physical activity (e.g., [5, 8, 27]), there were still questions in terms of antecedent/consequent mechanisms [4]. Based on our sample, a preschool child who spent 15 min a day more in MVPA would demonstrate approximately one unit higher for locomotor competence. This is similar to performing one additional component correctly in one of the six locomotor skills (e.g., “both feet come off the floor together and land together” in the jump). This may be meaningful, as mastering particular components may enhance play and game opportunities. For instance being able to do a ‘step hop’ sequence means being able to play games involving the skip. As such, this finding warrants recommending to parents and preschool staff that MVPA at this age does make a difference to skill outcomes. Other research has demonstrated ‘free play’ does not contribute much to motor skill competence [28], so it is suggested that in very young children the type and quality of physical activity relate more to motor skill development than simply movement quantity and intensity. This may explain why the relationship found in this study was with subsequent locomotor competence rather than object control competence. This would be expected as the activities that preschool-aged children are likely to engage in are more locomotive in nature (e.g., running and playing in the garden). High participation in ball games would be more likely to be associated with better object control competence. One study investigated different types of organized physical activity participation in preschool aged children (dance, ‘kindy gym’, swimming) and found different associations in terms of object control and locomotor competence [29]. This provides further evidence that young children need specific opportunities for skills to be taught and practised. Whilst objective measurement of physical activity has many advantages, it does not enable isolation of the types and quality of physical activity that children are engaging in. A recent systematic review of motor skill correlates in children and youth found that whilst physical activity was a correlate of some aspects of motor competence (i.e., total skills and motor coordination), evidence was indeterminate for physical activity being a correlate of object control or locomotor skill competence [30]. This illustrates further that when examining relationships between physical activity and motor competence, that it is important to examine relationships according to the way motor competence is operationalized. Stodden and colleague’s model [7] also hypothesized that relationships between motor competence and physical activity increases in strength as children age and develop. A recent narrative review supports this premise, with the conclusion that overall, whilst data strongly supports a positive relationship between motor competence and physical activity, associations are low to moderate in early to middle childhood [4]. At first glance our null findings at age 5 years appears counter intuitive, and contrary to other investigations (e.g., [29, 31]) but it could also be viewed that previous time in MVPA is more important to the current level of skill than any pattern of current MVPA. Motor competence needs time to develop and if we also consider that MVPA only tracks to a moderate level in early childhood [32], it is reasonable that previous time in MVPA may be more important in some cases to skill development than current time in MVPA. It is likely that the null finding in terms of toddler activity being a predictor of subsequent motor competence is heavily influenced by the developmental stage of children at this early age. Even though we adjusted for age at first walking, many children would still be using crawling as a common form of locomotion and that behaviour is not picked up well by accelerometers. Since children’s activity levels are so influenced by their developmental stage at this age they therefore may not be a true reflection of characteristic physical activity levels of each individual child. This may help to explain why we found no relationships between toddler MVPA and subsequent actual and perceived skill. Few studies have investigated perceived physical competence and physical activity in preschool age children [33]. Those studies which have specifically examined perceived motor competence (rather than general perceptions of physical competence), have focused on an older group of children (first three years of school) [34, 35]. Cross-sectional findings have suggested that whilst school children’s perceptions of their motor competence are associated with their actual skills [34, 35], perceptions did not relate to their current physical activity levels [34, 36]. Yet, in the present sample, MVPA among preschool-aged children was associated with subsequent overall perceived motor competence at age 5 years. Our finding can be interpreted as a child who spends 15 more minutes in MVPA per day would be approximately one unit higher in perceived competence; similar to shifting from a self-perception of ‘sort of good’ to ‘pretty good’ in one of the 12 skills. This confirms what was found with actual skill, in that previous physical activity behaviour appears (in this sample) to have more influence on children’s perceptions than current physical activity behaviour. Considering that developmentally children tend to rate themselves favourably, this indicates that the amount of time in MVPA still has the ability to discriminate between children with different self-perceptions. This finding is meaningful, as a child who believes they are ‘pretty good’ at catching as opposed to ‘sort of good’, may potentially be more motivated to participate in a whole range of ball sports that involve catching. The strengths of the current study include objective measurement of physical activity at three time points in a good sized sample which reflects well on generalizability of findings. A further strength is the use of an instrument to assess perceived motor competence aligned with a measure of actual motor competence. Limitations are that actual and perceived motor competence were only measured at age 5 years. This meant a mixed model which investigated change over time could not be used. Whilst there are instruments which could have assessed motor competence broadly at each time point, it was not possible for fundamental movement skill competence to be assessed at each time point as the TGMD-2 is only suitable to a minimum age 3 years, and motor milestones are relevant at age 19 months. The TGMD-2 is the only instrument to our knowledge which comprehensively assesses a broad range of fundamental movement skills in young children. It was not possible to measure perceived motor competence prior to age 5 as younger children could not be expected to complete this assessment due to their cognitive developmental stage. The number of children with valid physical activity assessments at each time point (43–71 % of age 5 sample) is a limitation, however there were no differences in skill between those with valid assessments and those without, showing this did not likely influence internal validity of results. Although those who stayed in the study were less physically active at 19 months old.

Conclusions

This study has added to the literature by demonstrating for the first time that in preschool aged children the amount of time in MVPA is important to subsequent actual and perceived motor competence. No other longitudinal study to the authors’ knowledge has investigated physical activity as a predictor of actual or perceived motor competence in young children. Based on this study it is important to recommend to parents and preschool/child care staff that children should be encouraged to spend as much time as possible in MVPA. It is acknowledged that for young children this will likely be achieved through short sporadic bursts of activity. Future research may seek to investigate, what type of physical activity is of most importance to subsequent skill development.
  28 in total

1.  Correlates of school-day physical activity in preschool students.

Authors:  Leah E Robinson; Danielle D Wadsworth; Christina M Peoples
Journal:  Res Q Exerc Sport       Date:  2012-03       Impact factor: 2.500

Review 2.  Fundamental movement skills in children and adolescents: review of associated health benefits.

Authors:  David R Lubans; Philip J Morgan; Dylan P Cliff; Lisa M Barnett; Anthony D Okely
Journal:  Sports Med       Date:  2010-12-01       Impact factor: 11.136

3.  A reverse pathway? Actual and perceived skill proficiency and physical activity.

Authors:  Lisa M Barnett; Philip J Morgan; Eric Van Beurden; Kylie Ball; David R Lubans
Journal:  Med Sci Sports Exerc       Date:  2011-05       Impact factor: 5.411

4.  Motor coordination as predictor of physical activity in childhood.

Authors:  V P Lopes; L P Rodrigues; J A R Maia; R M Malina
Journal:  Scand J Med Sci Sports       Date:  2010-03-11       Impact factor: 4.221

5.  Face validity and reliability of a pictorial instrument for assessing fundamental movement skill perceived competence in young children.

Authors:  Lisa M Barnett; Nicola D Ridgers; Avigdor Zask; Jo Salmon
Journal:  J Sci Med Sport       Date:  2014-01-02       Impact factor: 4.319

6.  Tracking of activity and sedentary behaviors in childhood: the Iowa Bone Development Study.

Authors:  Kathleen F Janz; Trudy L Burns; Steven M Levy
Journal:  Am J Prev Med       Date:  2005-10       Impact factor: 5.043

7.  The relationship between perceived physical competence and fundamental motor skills in preschool children.

Authors:  Leah E Robinson
Journal:  Child Care Health Dev       Date:  2010-12-09       Impact factor: 2.508

8.  The pictorial scale of perceived competence and social acceptance for young children.

Authors:  S Harter; R Pike
Journal:  Child Dev       Date:  1984-12

9.  How important is young children's actual and perceived movement skill competence to their physical activity?

Authors:  Sarah Slykerman; Nicola D Ridgers; Christopher Stevenson; Lisa M Barnett
Journal:  J Sci Med Sport       Date:  2015-07-10       Impact factor: 4.319

Review 10.  Correlates of Gross Motor Competence in Children and Adolescents: A Systematic Review and Meta-Analysis.

Authors:  Lisa M Barnett; Samuel K Lai; Sanne L C Veldman; Louise L Hardy; Dylan P Cliff; Philip J Morgan; Avigdor Zask; David R Lubans; Sarah P Shultz; Nicola D Ridgers; Elaine Rush; Helen L Brown; Anthony D Okely
Journal:  Sports Med       Date:  2016-11       Impact factor: 11.136

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  24 in total

1.  Relationship between the 24-Hour Movement Guidelines and fundamental motor skills in preschoolers.

Authors:  Chelsea L Kracht; E Kipling Webster; Amanda E Staiano
Journal:  J Sci Med Sport       Date:  2020-07-05       Impact factor: 4.319

2.  Considerations Related to the Definition, Measurement and Analysis of Perceived Motor Competence.

Authors:  Isaac Estevan; Lisa M Barnett
Journal:  Sports Med       Date:  2018-12       Impact factor: 11.136

3.  Longitudinal Change in the Relationship between Fundamental Motor Skills and Perceived Competence: Kindergarten to Grade 2.

Authors:  Jeff R Crane; John T Foley; Patti-Jean Naylor; Viviene A Temple
Journal:  Sports (Basel)       Date:  2017-08-10

4.  Gross motor skill development of 5-year-old Kindergarten children in Myanmar.

Authors:  Thanda Aye; Khin Saw Oo; Myo Thuzar Khin; Tsugumi Kuramoto-Ahuja; Hitoshi Maruyama
Journal:  J Phys Ther Sci       Date:  2017-10-21

5.  Informing retention in longitudinal cohort studies through a social marketing lens: Raine Study Generation 2 participants' perspectives on benefits and barriers to participation.

Authors:  Leesa Costello; Julie Dare; Manon Dontje; Leon Straker
Journal:  BMC Med Res Methodol       Date:  2020-07-29       Impact factor: 4.615

Review 6.  Relationship between Fundamental Movement Skills and Physical Activity in Preschool-Aged Children: A Systematic Review.

Authors:  Fei Xin; Si-Tong Chen; Cain Clark; Jin-Tao Hong; Yang Liu; Yu-Jun Cai
Journal:  Int J Environ Res Public Health       Date:  2020-05-19       Impact factor: 3.390

7.  A collaborative approach to adopting/adapting guidelines - The Australian 24-Hour Movement Guidelines for the early years (Birth to 5 years): an integration of physical activity, sedentary behavior, and sleep.

Authors:  Anthony D Okely; Davina Ghersi; Kylie D Hesketh; Rute Santos; Sarah P Loughran; Dylan P Cliff; Trevor Shilton; David Grant; Rachel A Jones; Rebecca M Stanley; Julie Sherring; Trina Hinkley; Stewart G Trost; Clare McHugh; Simon Eckermann; Karen Thorpe; Karen Waters; Timothy S Olds; Tracy Mackey; Rhonda Livingstone; Hayley Christian; Harriette Carr; Adam Verrender; João R Pereira; Zhiguang Zhang; Katherine L Downing; Mark S Tremblay
Journal:  BMC Public Health       Date:  2017-11-20       Impact factor: 3.295

8.  Nature Elements and Fundamental Motor Skill Development Opportunities at Five Elementary School Districts in British Columbia.

Authors:  Christopher Lim; Andrew M Donovan; Nevin J Harper; Patti-Jean Naylor
Journal:  Int J Environ Res Public Health       Date:  2017-10-24       Impact factor: 3.390

9.  Gross motor skill development of kindergarten children in Japan.

Authors:  Thanda Aye; Tsugumi Kuramoto-Ahuja; Tamae Sato; Kaori Sadakiyo; Miyoko Watanabe; Hitoshi Maruyama
Journal:  J Phys Ther Sci       Date:  2018-05-08

10.  Motor Competence and Physical Activity in Early Childhood: Stability and Relationship.

Authors:  Einat A Schmutz; Claudia S Leeger-Aschmann; Tanja H Kakebeeke; Annina E Zysset; Nadine Messerli-Bürgy; Kerstin Stülb; Amar Arhab; Andrea H Meyer; Simone Munsch; Jardena J Puder; Oskar G Jenni; Susi Kriemler
Journal:  Front Public Health       Date:  2020-02-21
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