Obesity and motor skills among 4 to 6-year-old children in the united states: nationally-representative surveys

Abstract

Background

Few population-based studies have assessed relationships between body weight and motor skills in young children. Our objective was to estimate the association between obesity and motor skills at 4 years and 5-6 years of age in the United States. We used repeated cross-sectional assessments of the national sample from the Early Childhood Longitudinal Survey-Birth Cohort (ECLS-B) of preschool 4-year-old children (2005-2006; n = 5 100) and 5-6-year-old kindergarteners (2006-2007; n = 4 700). Height, weight, and fine and gross motor skills were assessed objectively via direct standardized procedures. We used categorical and continuous measures of body weight status, including obesity (Body Mass Index (BMI) ≥ 95^th percentile) and BMI z-scores. Multivariate logistic and linear models estimated the association between obesity and gross and fine motor skills in very young children adjusting for individual, social, and economic characteristics and parental involvement.

Results

The prevalence of obesity was about 15%. The relationship between motor skills and obesity varied across types of skills. For hopping, obese boys and girls had significantly lower scores, 20% lower in obese preschoolers and 10% lower in obese kindergarteners than normal weight counterparts, p < 0.01. Obese girls could jump 1.6-1.7 inches shorter than normal weight peers (p < 0.01). Other gross motor skills and fine motor skills of young children were not consistently related to BMI z-scores and obesity.

Conclusions

Based on objective assessment of children's motor skills and body weight and a full adjustment for confounding covariates, we find no reduction in overall coordination and fine motor skills in obese young children. Motor skills are adversely associated with childhood obesity only for skills most directly related to body weight.

Background

Despite recent progress towards stabilization in the prevalence of childhood overweight and obesity in the U.S. [1] and other countries [2-4], many children still have excessive body weight. In 2007-2008 in the U.S., around 17% of 2-to-19-year-old children had a body mass index (BMI) at or above the 95^th percentile of the U.S. growth charts while 32% were overweight or obese (BMI ≥ 85^th percentile) [1]. Childhood obesity has considerable adverse consequences for children's physical health, persistence of obesity into adulthood and health later in life [5]. In response to these patterns, prevention of childhood obesity has become a national priority in many countries.

Childhood obesity may lead to impaired cognitive and physical development [6], which can translate into deleterious social and economic consequences such as social exclusion, diminished school performance, and ultimately poorer labor market outcomes [7]. Mechanisms of these effects are still incompletely understood. One mechanism involved in these observations could be through the inhibiting effect of obesity on children's physical development. Overweight and obese children unable to successfully engage in physical challenges may resist participating in physical activities and overall learning solicitations. Furthermore, parents, caregivers and teachers may be less likely to encourage obese children to engage in physical activity based on their perceptions that the child has limited physical abilities [8]. Impaired physical development could trigger a cycle of physical activity avoidance and reduced social interactions, which could lead to further reduction in physical fitness of obese children [9]. This, in turn, could contribute to negative health and weight outcomes [10,11].

Prior research on the relationship of childhood obesity with motor skill development has produced mixed results. Two studies showed more limited motor skills (gross and fine skills evaluated together) among obese boys compared to normal weight peers, but these results were not shown in girls [12,13]. Several studies assessing overall gross motor skills found impaired skills in obese children regardless of gender [14-18] or only in boys [19]. This was also the case for object-control skill components in both girls and boys [14,17]. For fine motor skills, results are more mixed due to a lower number of studies, which usually suggest no negative association with obesity until 9 years of age [20]. Comparisons across these cross-sectional studies are limited due to differences in the methods used, especially for motor skill assessment. In addition, previous studies were based on rather small sample sizes (from one hundred [14,15,17,18] to less than 700 children [16], except for one large survey in Germany) [19] and/or biased samples (with no random selection in representative samples).

As a result, available data on the relationship between childhood obesity and motor skill development at early ages remains inconclusive [21]. One study using a longitudinal design and controlling for reverse causality showed that childhood overweight contributed to a delay in motor development, but the survey sample was limited to low-income African-American infants from 3 to 18 months of age [22]. Furthermore, an interventional study of children in an obesity treatment intervention showed that reduced mean body weight was accompanied by improved gross motor coordination performance [23].

Our study tests the hypothesis that fine and gross motor skills are inversely associated with BMI z-scores and obesity in young American children. We estimate cross-sectional associations of fine and gross motor skills with BMI z-scores and obesity accounting for individual differences in the learning and family environment and socio-demographic characteristics of preschoolers (4 year-olds) and kindergarteners (5-6 year-olds) residing in the United States.

Methods

Sample

We used repeated cross-sections of a national sample of U.S. children from the Early Childhood Longitudinal Survey-Birth Cohort (ECLS-B), a nationally-representative longitudinal study of U.S. children born in 2001 conducted by the National Center for Education Statistics (NCES) [24,25]. Access to the ECLS-B data is allowed only to researchers who are granted a restricted-use data license. In addition, an approval has been obtained from the Office for Human Research Protections (OHRP) of the Yale University (n°0808004141).

Children were assessed at 9 months of age (about 10 700 children out of 14 000 initially sampled), and at 2, 4 and 5-6 years of age. The survey had a complex design selecting counties or combinations of counties as primary sampling units and stratifying them by region, median household income, proportion of minority population, and metropolitan/non-metropolitan area (38 strata in total). Births were sampled from the National Center for Health Statistics (NCHS) vital statistics system. The survey excluded children born to mothers younger than 15, or those who were adopted or died before 9 months.

Data collection

The survey collected data from multiple sources, including direct assessment of children at their homes, computer-assisted interviews with parents (usually the mother; the father or another guardian in less than 5% of cases), and surveys of child care providers and teachers. Signed informed consent was obtained from the respondent before the parent interview began.

We used data collected at preschool age or prior to entering kindergarten (August 2005-June 2006) and at kindergarten age (September 2006-March 2007).

Anthropometry

The ECLS-B trained interviewers measured children's height and weight using a standardized protocol [26]. With children dressed in light clothing and without shoes, height was measured using a portable stadiometer and weight was measured with a digital scale. Measurements were taken twice and the average for each measurement was used. BMI was calculated as weight (kg) divided by height (m) squared and converted into BMI z-scores and percentiles for age and sex based on the 2000 Centers for Disease Control and Prevention (CDC) growth charts [27]. Underweight was defined by BMI < 5^th percentile, normal weight by 5th ≤ BMI < 85^th percentile, overweight excluding obesity by 85^th ≤ BMI < 95^th percentiles, and obesity by BMI ≥ 95^th percentile. To complete sensitivity analyses and provide estimates comparable with other international studies, we have additionally used measures of childhood overweight and obesity based on the Cole charts for thinness (BMI centile charts reaching 17 at 18 years of age) [28] and International Obesity Task Force (IOTF) charts (BMI centile charts reaching 25 kg/m² and 30 kg/m² at 18, respectively) [29].

Motor skill assessments

The ECLS-B assessments of fine and gross motor skills were based on previously validated tests such as the Early Screening Inventory-Preschool or Kindergarten, the Bruininks-Oretsky Test of Motor Proficiency, and the Movement Assessment Battery for Children along with tests adapted for the sister survey ECLS-Kindergarten Cohort [26]. Before taking assessments, tests were shown to the child by the interviewer. For 4 year-old children, fine motor skill assessment evaluated the child's ability to build a tower from 10 blocks and a gate from 5 blocks. They were scored as "both passed", "one of them passed" or "none of them passed". Another fine motor measure assessed the child's ability to copy 7 shapes (e.g., lines, circle, triangle). 5-6 year-old children were asked to build a gate (assessed on a pass/fail basis) and to complete a copying exercise (4 shapes, different from the shapes assessed earlier). Each shape was scored as "pass" or "fail"; the total number of shapes successfully copied determined the copy form score (from 0 to 7 at age 4 and from 0 to 4 at age 5-6).

Gross motor skills were assessed based on the child's ability to skip at least 8 consecutive steps; walk backwards along a line for at least 6 steps; catch a bean bag tossed out of 5 trials; jump from a standing start; balance on each foot for 10 seconds and hop on each foot 5 times. All activities were demonstrated to the child by the interviewer. Except for the jump distance (measured in inches) and the number of successfully copied forms, other gross motor variables were coded on a pass/fail basis.

Covariates

We used information on birth, child health and behaviors, mother characteristics and family environment as covariates in multivariate regression models. Except for birth characteristics, these data were collected at each assessment in parental interviews. Some demographic characteristics such as age, race/ethnicity came from the 9-month data collection (2001-2002). Birth characteristics (weight, gestational age) came from birth certificates and pregnancy information such as mother's pre-pregnancy self-reported weight and height (to calculate pre-pregnancy BMI) and smoking during pregnancy were collected during the 9-month parental interviews. Parental self-assessment of the child's health status was collected during each interview; from 5 categories, answers were merged into 3 categories as "excellent/very good", "good", and "fair/poor". From 22 initial items, parental education was grouped into 4 categories: "no high school", "high diploma", "some college", and "college graduation". The household socioeconomic status (SES) was based on father/male and mother/female guardian's education, occupation and household income and grouped into three categories based on SES quintiles: "low SES" (1st quintile), "intermediate SES" (2nd-4th quintiles) and "high SES" (5th quintile). Finally, we created variables to describe parental involvement in child developmental activities based on the number of times parents reported going outside with children ("about once a day and more", "a few times a week", "a few times a month and less") and the frequency of reading books, singing songs and telling stories with children ("3 activities daily", "2 of the 3 activities daily", "1 of the 3 activities daily", and "no activities daily").

Statistical analysis

The NCES calculated survey weights to adjust for non-response and under-coverage for each round of data collection [25]. Weights and survey options ("svy") to take into account the complex sampling scheme were applied in Stata^® V.10.0. The sub-sample of children included in the analysis for which motor skill tests, BMI and covariates were available was compared to children with missing data for relevant differences. All analyses were stratified by gender given previously reported gender differences in the associations between body mass status and motor skills [12,13,19]. Descriptive analyses provided percentages and means and linearized standard errors of the means (SE). The association between BMI z-scores and motor skills was estimated using covariates-adjusted linear regressions for the jump distance and copy form tests, multinomial logistic models for block building tests at 4 years of age, and logistic models for the remaining dichotomous motor test variables. We also estimated associations between a categorical BMI variable (based on either the CDC references or IOTF references) and motor skills. Finally, fully-adjusted probabilities of passing motor skill tests by obese children compared to normal-weight children were calculated (ratios of probabilities are reported here). Significant two-tailed tests were set at 5%. Analyses were carried out in 2010.

Results

General characteristics

We used data for 5 100 children at the preschool assessment (out of 8 950; 57%) and 4 700 children at the kindergarten wave (out of 7 000; 67%) (Figure 1). Most of the missing data were due to lack of motor skill assessment and covariates in 4 year-old children and missing covariates in 5-6 year-old children. Child, mother and family characteristics at 4 years of age are presented in Table 1. The sample characteristics at the kindergarten assessment were almost identical to those at the preschool age (data not shown).

Figure 1.

Inclusion flow chart in analyses. In accordance with the NCES reporting guidelines, all unweighted sample sizes are rounded to the nearest 50.

Table 1.

Child, mother and family characteristics-Preschool assessment (ECLS-B cohort, 2005-2006)

	Boys n = 2 450a	Girls n = 2 700
Child characteristics
Age (months) (mean, SE)	52.7 (0.13)	52.6 (0.10)
Race/ethnicity (%)
White non-Hispanic	52.9	55.0
African American	15.8	14.1
Asian	2.4	2.6
Hispanic	24.3	23.8
Other	4.5	4.4
Prematurity (gestational age < 37 wks) (%)	11.2	11.0
Birthweight (%)
< 2.5 kg	6.1	7.8
≥ 4.0 kg	10.7	5.9
Birth rank (%)
Singleton	19.0	16.9
Eldest	21.5	21.7
2d born	34.3	34.4
3d born and more	25.1	26.9
Any breastfeeding (%)	67.5	69.6
Excellent/very good health status (%)	87.7	90.0
Television watching (hours/d) (mean, SE)	2.5 (0.07)	2.4 (0.06)
Center-based child daycare (%)	63.3	59.3
Mother characteristics
Age (years) (mean, SE)	31.9 (0.22)	32.0 (0.18)
Education (%)
No high school	14.6	13.2
High school diploma	27.5	26.4
Some college	30.7	32.1
College graduation	27.2	28.3
Married (%)	70.8	71.4
Overweight or obese before pregnancy (%)	39.1	39.5
Smoking during pregnancy (%)	16.7	17.0
Family characteristics
Living in an urban area (%)	84.8	84.4
Low socioeconomic status (%)b	19.6	16.8
English spoken at home (%)	80.0	82.9
Number of children < 18 y (mean, SE)	2.4 (0.03)	2.4 (0.03)
Number of dinners as a family per wk (mean, SE)	5.5 (0.05)	5.5 (0.06)
Parental involvement (%)b
No books/stories/songs each day	34.6	28.4
Outside walk or play few times a month or less	14.3	15.2

Estimations of percentages, means and standard errors of the mean (SE) are weighted and take into account the complex sampling design. ECLS-B, Early Childhood Longitudinal Survey-Birth Cohort

^aUnweighted sample size rounded to the nearest 50. ^bSee definitions in the Methods section.

Four year-old children in the analyses were older than participants excluded due to missing data (52.7 (SE = 0.09) vs. 52.3 months (0.10), p < 0.01), and lived in more favorable family conditions (e.g., high SES 22.1% vs. 16.3%, p < 0.01). Obesity prevalence (CDC references) was statistically comparable in the analytic sample and among the excluded 4 year-old children (15.9% vs. 18.5%, p < 0.10), while passing gross and fine motor skill tests was more successful in the retained sample of 4 year-old children (p < 0.03). Five-to-six year-old children in the analysis were as old as the excluded participants (64.8 (0.08) vs. 64.7 months (0.12), p = 0.83) and equally affected by obesity (15.6% vs. 18.1%, p = 0.30), but had different living conditions (high SES 21.8% vs. 15.2%, p < 0.01) and lower motor skills (p < 0.01, except for the skip test: p = 0.52).

According to the CDC growth charts, one third of the children were classified as overweight or obese and around 15% of children were obese (Table 2). Average rates of successfully passing motor skill tests varied from 20% to 80%, depending on the test type and children's age (Table 2). Average gross motor skills were higher in 5-6 year-old than in 4 year-old children. Girls were on average more successful than boys in passing the balance, skip, copying, hop on the right foot and walk backwards tests (p < 0.01), but their jump distance was usually lower than in boys (p < 0.01).

Table 2.

Distribution of body mass index (BMI) z-score, BMI categories and motor skills

	Boys		Girls
	4 y n = 2 450a	5-6 y n = 2 300	4 y n = 2 700	5-6 y n = 2 400
Body mass index (BMI)
Z-score (mean, SE)	0.62 (0.03)	0.63 (0.03)	0.63 (0.03)	0.65 (0.03)
CDC categories (%)
Underweight	2.2	1.9	1.8	1.9
Normal	63.8	65.1	63.6	64.1
Overweight	17.3	17.2	19.5	18.7
Obesity	16.8	16.1	15.1	15.1
IOTF and Cole categoriesb (%)
Underweight	0.9	0.5	0.8	0.5
Normal	77.1	75.9	73.5	70.1
Overweight	15.7	16.6	17.2	19.0
Obesity	6.3	7.0	8.5	10.4
Motor skillc
Gross motor skill
Balance at least 10 sec. (%)
Right foot	45.8	75.0	53.6	83.3
Left foot	44.6	74.4	52.5	81.9
Hop 5 times (%)
Right foot	66.2	88.1	70.4	92.2
Left foot	61.3	85.5	63.9	89.8
Jump distance (inches) (mean, SE)	27.9 (0.24)	32.4 (0.28)	24.7 (0.28)	29.9 (0.31)
Skip at least 8 steps (%)	20.5	37.7	32.4	59.2
Walk backwards 6 steps on line (%)	33.9	38.3	40.9	48.6
Bean bag catch (at least 5 caught) (%)	42.1	51.8	38.3	50.8
Fine motor skillc
Blocks (%)
Passed one (either tower or gate)	44.1	-	44.9	-
Passed both	42.9	-	42.9	-
Gate passed	-	79.2	-	81.8
Copy form (mean, SE)	3.2 (0.04)	2.5 (0.04)	3.8 (0.04)	2.3 (0.04)

Estimations of percentages, means and standard errors of the mean (SE) are weighted and take into account the complex sampling design.

BMI; Body mass index, CDC; Centers for Disease Control and prevention, IOTF; International Obesity Task Force

^aUnweighted sample size rounded to the nearest 50. ^bSee definitions in the Methods section. ^cPercentages of passing the test are presented (except for jump distance).

Association between BMI z-score, obesity and motor skills

The only motor skill measure that consistently varied with weight status in boys and girls was hopping. Specifically, BMI z-score was inversely associated with passing the hop test in boys (left foot at 4 years of age and right foot at 5-6 years) and among 5-6 year-old girls (Table 3). Other motor skill assessments had no detectable association with children's body weight or did so only in certain age-gender groups. For example, girls with higher BMI z-scores had on average a lower jump distance at both 4 and 5-6 years of age, but boys showed no difference. There was also a positive result for heavier body weight: 4 year-old girls with higher BMI z-scores had a higher frequency of passing the bean bag catching test. Using categorical variables of BMI, obese boys and girls were about 17-20% less likely to pass the hop test compared to normal-weight children at 4 years of age and 7-11% at 5-6 years (Table 3). It was the case for both feet in boys and for the left foot in girls. In addition, obese girls had a shorter jump distance than normal weight girls at both survey waves.

Table 3.

Association of body mass index (BMI) z-score and obesity with motor skills

	Boys		Girls
	BMI z-score	Obesity	BMI z-score	Obesity
4 years of age
Gross motor skill
Balance at least 10 sec.
Right foot	-0.07	0.84	-0.05	0.92
Left foot	-0.04	0.94	-0.05	0.77**
Hop 5 times
Right foot	-0.06	0.83**	-0.03	0.91
Left foot	-0.07*	0.80**	-0.08	0.83**
Jump distance (inches)	-0.40	-1.04	-0.46*	-1.69**
Skip at least 8 steps	-0.01	0.84	0.04	1.03
Walk backwards 6 steps on line	-0.01	0.91	-0.05	0.93
Bean bag catch (at least 5 caught)	0.03	1.14	0.08*	1.32**
Fine motor skill
Blocks (gate & tower)
Passed one	0.002	1.00	0.04	1.03
Full passed	-0.003	0.99	0.04	0.94
Copy form	-0.02	-0.10	-0.02	0.00
5-6 years of age
Gross motor skill
Balance at least 10 sec.
Right foot	-0.02	0.94	-0.01	1.02
Left foot	0.05	0.99	-0.09*	0.98
Hop 5 times
Right foot	-0.12*	0.92*	-0.08	0.96
Left foot	-0.05	0.89**	-0.15**	0.93*
Jump distance (inches)	-0.15	-1.07	-0.47*	-1.58**
Skip at least 8 steps	0.07	0.99	-0.04	0.97
Walk backwards 6 steps on line	0.04	0.92	-0.08*	0.91
Bean bag catch (at least 5 caught)	0.07	1.06	-0.01	0.98
Fine motor skill
Blocks (gate)	0.06	0.97	0.04	1.06
Copy form	0.04	0.05	-0.01	-0.03

Values are regression coefficients for BMI z-score and ratio of probabilities for passing a test in obese children out of normal-weight children. All analyses are adjusted for covariates and take into account weights and sampling design. *P < 0.05; **P < 0.01

No difference in motor skills was observed in overweight (not obese) children compared to normal weight children, except for a higher probability of passing the bean bag test (probability ratio = 1.20, p < 0.05) and a lower copying form score (coef. = -0.18; p < 0.05) in overweight 4 year-old boys compared to normal-weight counterparts. Sensitivity analyses using the obesity IOTF references showed the same patterns with motor abilities as with the CDC-based thresholds, also including a lower jump distance in obese 4 year-old boys (linear regression coefficient: -2.1, p < 0.05) and a lower probability of passing balance tests in obese compared to normal-weight 4 year-old children (right foot in boys: probability ratio = 0.72, p < 0.05; left foot in girls: probability ratio = 0.82; p < 0.05).

Discussion

Based on the U.S. nationally representative data, most motor skills are not impaired in obese or overweight children of 4 and 5-6 years of age. Only gross motor skills that seem to be directly influenced by a child's heavy body weight, such as hopping in boys and girls and a jump distance in girls, were inversely associated with obesity and higher BMI z-scores. Motor skills involving coordination, balance and control were not lower in children with higher BMI. Fine motor skills were not related to obesity and BMI of children ages 4 to 6.

Fine motor skills and BMI

Our finding of no significant association between obesity (or BMI z-scores) and fine motor skills at 4 to 6 years of age is consistent with previous research looking at fine motor skills [15]. It is possible that general motor skill impairments showed in studies assessing fine and gross motor skills without distinction (i.e. combined in one measure) [12,13,22] reflect the effect of gross motor skill impairment in high-BMI young children. One study that examined the link between specifically fine motor skills and obesity found a significant association in 9-13 year-old children but not in 5-9 year-olds [20]. Acquisition of fine motor skills occurs throughout childhood, so differences in skills of certain risk groups may become apparent later in childhood when skills become more complex and diversified. Prevention of fine motor impairment in early childhood is important so that all children have the same chance for successful development. The mechanisms by which fine motor skills decrease with increasing BMI in children when they become older need better understanding.

Gross motor skills and BMI

The association between gross motor skills and body mass status of 4-year-old and 5-6-year-old children varied by type of skills, with some differences observed across gender and age groups. Our findings of diminished hopping and jumping skills with higher BMI z-scores and obesity are consistent with results shown in previous studies [16,18,19,30-32]. One study examined the link between body weight and running ability and found that obese children were not able to run as quickly as their non-obese peers [16]. Such locomotor competences are likely to be directly related to the excess weight and impaired musculoskeletal functions of obese children [21]. The finding that the jumping ability was associated with obesity among girls only (as also found in another study) [33] may be partly interpreted in relation to BMI specificity (between 85% to 95% according to the studies) [34,35] that could lead to misclassification of some muscular physically active boys as overweight or obese. This explanation is indeed plausible since the jump distance correlated with obesity in boys using the IOTF references. The IOTF thresholds are higher than the CDC 95^th percentiles at early ages, and may have lower rates of misclassification of muscular boys. This also highlights the likely role of muscular development in reducing the gap in motor skills due to body weight status and helps us understand some apparent discrepancies across our findings. At last, different abilities between boys and girls may also reflect differences in physical games that they play, even though the impact of such choices has not been documented.

Jumping and hopping are skills used in activities with relatively high energy expenditure. Limitations of these skills may lead to lower engagement of obese children in sports and physical activity that involve jumping or hopping [36], which may further contribute to sustainability of excessive body weight and even further fat accumulation [37]. Schools should identify physical activities adapted to children's respiratory fitness and body mass status to prevent injury [38]. Motor skill abilities such as balancing, walking backwards and catching were generally of the same level in obese and normal-weight children of 4-6 years of age. Participation of obese children in sports that involve such skills should be encouraged in order to prevent obesity-associated differences in gross motor skills in later childhood and adolescence [39,40], as well as for social interactions and self-esteem development.

Strengths and limitations

This study contributes to the literature by providing reliable estimates of the association between body weight and motor skills in 4 and 5-6 year-old children. Drawing from a nationally-representative sample of U.S. children, objective measures of child motor skills and body weight were used and associations were studied accounting for individual and family environment characteristics. Indeed, the aim was to control for a maximum of potential confounding factors. However, this study has some limitations. First, using a sub-sample with complete data has likely led to selection bias despite calibration on the national census using the survey weights. Since children in analysis were of almost the same obesity status yet exhibited higher motor skills than the excluded participants, we may underestimate the strength of the observed associations. Our estimates can also be attenuated by the fact that children in our analytic sample lived in more favourable conditions than children excluded from the analyses. Still, most of the children's characteristics in the analytic sample were similar to national estimates for the same birth cohort [41,42]. Furthermore, assessing multiple measures of various motor skills separately (no overall motor score was available in this survey) might have contributed to some ambiguity about results that need further investigation. In addition, the choice of motor skill tests can be debated since no definitive consensus on the best measurement exists in this field. Moreover, to facilitate interpretation of results, we used the pass/fail variable to describe motor skills, especially for gross motor skills. This could have led to lower sensitivity of our tests to detect differences between groups. However, using test scores as a continuous variable did not change results (data not shown). The cross-sectional design of the analysis limits causal interpretations; a longitudinal study of the impact of early childhood overweight and obesity on future motor skills would be a valuable contribution to existing knowledge on this topic.

Conclusions

Child motor skills are adversely associated with obesity and BMI z-scores only for skills most directly related to body weight, such as jumping and hopping. Fine motor skills and skills involving coordination do not seem to correlate with obesity in 4 to 6 year olds. This study used a large national sample of young children with comprehensive objective evaluation of children's motor skills and body weight. Future analyses of large longitudinal samples should enable better understanding of such relationships and interactions between the determinants of childhood overweight and obesity and motor skills, including the issue of reverse causality. Finally, physical activity interventions designed to build upon obese children's physical strengths and encourage successful activity experiences are needed.

Abbreviations

BMI: Body Mass Index; CDC: Centers for Disease Control; ECLS-B: Early Childhood Longitudinal Survey-Birth; IOTF: International Obesity task Force; NCES: National Center for Education Statistics; NCHS: National Center for Health Statistics; OHRP: Office for Human Research Protections; SE: Standard Error of the means; SES: Socioeconomic status.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

KC conceived the analyses design, performed statistical analyses, interpreted the results and wrote the manuscript. TA substantially contributed to the analyses design conception, results interpretation and writing of the manuscript. Both authors read and approved the final manuscript.

Authors' information

KC was a visiting researcher at the Rudd Center for Food Policy and Obesity at the time of the research.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2431/12/28/prepub

Acknowledgements

The authors are grateful to Marlene B. Schwartz for her very helpful comments on the manuscript. This research was supported by the Rudd Foundation.