Physical Activity and Motor Skill Development During Early Childhood: Investigating the Role of Parent Support.

PURPOSE: This study examined the relationship between parent physical activity (PA) support and children's motor skill development and PA during early childhood and explored the potential moderating effect of child PA and motor skills on these relationships. METHODS: Participants (N = 589, 250 girls, meanage = 4.93 [0.59] y) were part of a larger, longitudinal cohort study. Motor skills were assessed using the Movement Assessment Battery for Children-Second Edition. Moderate to vigorous PA (MVPA) was measured using ActiGraph accelerometers. Five items were used to measure parent support frequency (1 = none, 3 = 3-4 times, 5 = daily). Moderation analyses were conducted to examine the moderating effect of MVPA and motor skills on the relationship between parent support and motor skills and MVPA, respectively. RESULTS: Parent support was significantly related to motor skills (B = 14.45, P = .007), and child MVPA significantly moderated this relationship (B = -0.17, P = .021). The relationship between parent support and child MVPA did not reach significance (B = 2.89, P = .051); however, motor skills had a significant moderating effect (B = -0.08, P = .022). CONCLUSIONS: These novel findings suggest parent PA support is related to child motor skills and PA during early childhood, but this relationship is context dependent. Child-level characteristics should be considered in future parent PA support research.

Accelerometer techniques for capturing human movement validated against direct observation: a scoping review.

INTRODUCTION: Accelerometers are devices commonly used to measure human physical activity and sedentary time. Accelerometer capabilities and analytical techniques have evolved rapidly, making it difficult for researchers to keep track of advances and best practices for data processing and analysis. OBJECTIVE: The objective of this scoping review is to determine the existing methods for analyzing accelerometer data for capturing human movement which have been validated against the criterion measure of direct observation. METHODS: This scoping review searched 14 academic and 5 grey databases. Two independent raters screened by title and abstract, then full text. Data were extracted using Microsoft Excel and checked by an independent reviewer. RESULTS: The search yielded 1039 papers and the final analysis included 115 papers. 71 unique accelerometer models were used across a total of 4217 participants. While all studies underwent validation from direct observation, most direct observation occurred live (55%) or using recordings (42%). Analysis techniques included machine learning approaches (22%), the use of existing cut-points (18%), ROC curves to determine cut-points (14%), and other strategies including regressions and non-machine learning algorithms (8%). DISCUSSION: Machine learning techniques are becoming more prevalent and are often used for activity identification. Cut-point methods are still frequently used. Activity intensity is the most assessed activity outcome; however, both the analyses and outcomes assessed vary by wear location. CONCLUSIONS: This scoping review provides a comprehensive overview of accelerometer analysis and validation techniques using direct observation and is a useful tool for researchers using accelerometers.

A Matched-Pair Analysis of Gross Motor Skills of 3- to 5-Year-Old Children With and Without a Chronic Physical Illness.

PURPOSE: The purpose of this study was to compare the gross motor skills of children with a chronic physical illness with those of their healthy peers. METHODS: Data for children with a chronic physical illness come from the Multimorbidity in Children and Youth Across the Life Course study, and data from children without a physical illness come from the Health Outcomes and Physical Activity in Preschoolers study. Multimorbidity in Children and Youth Across the Life Course and Health Outcomes and Physical Activity in Preschoolers included children ages 3-5 years and administered the Peabody Development Motor Scales-second edition. Participants were sex and age matched (20 male and 15 female pairs; Mage = 54.03 [9.5] mo). RESULTS: Gross motor skills scores were "below average" for 47% of children with a physical illness compared with 9% of children without a physical illness (P = .003). Matched-paired t tests detected significant differences in total gross motor scores (dz = -0.35), locomotor (dz = -0.31), and object control (dz = -0.39) scores, with healthy children exhibiting better motor skills, and no significant difference in stationary scores (dz = -0.19). CONCLUSIONS: This skill gap may increase burden on children with physical illness and future research should assess gross motor skills longitudinally to establish whether the gap widens with age.

Ethical considerations in using sensors to remotely assess pediatric health behaviors.

Sensors, including accelerometer-based and electronic adherence monitoring devices, have transformed health data collection. Sensors allow for unobtrusive, real-time sampling of health behaviors that relate to psychological health, including sleep, physical activity, and medication-taking. These technical strengths have captured scholarly attention, with far less discussion about the level of human touch involved in implementing sensors. Researchers face several subjective decision points when collecting health data via sensors, with these decisions posing ethical concerns for users and the public at large. Using examples from pediatric sleep, physical activity, and medication adherence research, we pose critical ethical questions, practical dilemmas, and guidance for implementing health-based sensors. We focus on youth given that they are often deemed the ideal population for digital health approaches but have unique technology-related vulnerabilities and preferences. Ethical considerations are organized according to Belmont principles of respect for persons (e.g., when sensor-based data are valued above the subjective lived experiences of youth and their families), beneficence (e.g., with sensor data management and sharing), and justice (e.g., with sensor access and acceptability among minoritized pediatric populations). Recommendations include the need to increase transparency about the extent of subjective decision making with sensor data management. Without greater attention to the human factors involved in sensor research, ethical risks could outweigh the scientific promise of sensors, thereby negating their potential role in improving child health and care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Reliability of field- and laboratory-based assessments of health-related fitness in preschool-aged children.

OBJECTIVES: Reliable measurements of health-related fitness-cardiorespiratory endurance, muscular endurance, muscular strength, body composition, and flexibility-are imperative for understanding and tracking health-related fitness from the preschool age. This study aimed to examine the test-retest reliability of field-based (i.e., sit and reach [standard and back-saver], standing long jump, grip strength); and laboratory-based (i.e., Bruce Protocol Treadmill Test, Wingate Anaerobic Test) assessments of health-related fitness in preschool aged children (4-5 years). METHODS: Forty-two typically developing children participated in both assessment time points separated by 2-3 weeks. All fitness assessments were administered individually and repeated in the same order by the same assessor. Heteroscedasticity was examined for each parameter. Intraclass correlation coefficients were calculated to assess test-retest reliability. RESULTS: All parameters were homoscedastic. Test-retest reliability for the field-based tests and Bruce Protocol Treadmill Test parameters were moderate to good. Test-retest reliability for the Wingate Test parameters were good to excellent for maximum pedal rate, peak power, and peak power/kg; mean power and fatigue measured at 10 and 30 s demonstrated moderate to excellent test-retest reliability. CONCLUSION: The standard sit and reach, grip strength, and short-term muscle power from the Wingate test are reliable assessments of health-related fitness in preschool-aged children.

Physical Activity Trajectories in Early Childhood: Investigating Personal, Environmental, and Participation Factors.

INTRODUCTION/PURPOSE: To determine personal, environmental, and participation factors that predict children's physical activity (PA) trajectories from preschool through to school years. METHODS: Two hundred seventy-nine children (4.5 ± 0.9 yr, 52% boys) were included in this study. Physical activity was collected via accelerometry at six different timepoints over 6.3 ± 0.6 yr. Time-stable variables were collected at baseline and included child's sex and ethnicity. Time-dependent variables were collected at six timepoints (age, years) and included household income (CAD), parental total PA, parental influence on PA, and parent-reported child's quality of life, child's sleep, and child's amount of weekend outdoor PA. Group-based trajectory modeling was applied to identify trajectories of moderate-to-vigorous PA (MVPA) and total PA (TPA). Multivariable regression analysis identified personal, environmental, and participation factors associated with trajectory membership. RESULTS: Three trajectories were identified for each of MVPA and TPA. Group 3 in MVPA and TPA expressed the most PA over time, with increased activity from timepoints 1 to 3, and then declining from timepoints 4 to 6. For the group 3 MVPA trajectory, male sex (ß estimate, 3.437; P = 0.001) and quality of life (ß estimate, 0.513; P < 0.001) were the only significant correlates for group membership. For the group 3 TPA trajectory, male sex (ß estimate, 1.970; P = 0.035), greater household income (ß estimate, 94.615; P < 0.001), and greater parental total PA (ß estimate, 0.574; P = 0.023) increased the probability of belonging to this trajectory group. CONCLUSIONS: These findings suggest a need for interventions and public health campaigns to increase opportunities for PA engagement in girls starting in the early years. Policies and programs to address financial inequities, positive parental modeling, and improving quality of life are also warranted.

Psychosocial impact of COVID-19 on caregivers and adolescents and young adult survivors of childhood cancer.

BACKGROUND: Caregivers and adolescents and young adult (AYA) cancer survivors may be at greater psychosocial risk from the COVID-19 pandemic than healthy peers due to complex and traumatic medical histories. This study describes COVID-19-related event exposures, impact, and distress among a large sample of caregivers and AYA cancer survivors and the relationship of these variables to demographic and cancer characteristics. PROCEDURE: From May 2020 to December 2021, 422 caregivers and 531 AYA survivors completed the COVID-19 Exposures and Family Impact Survey (CEFIS) and CEFIS-AYA, respectively. Total COVID-19-related exposures, average COVID-19-related impact, and COVID-19-related distress were calculated. Conventional content analysis was used to analyze free-text responses about the negative and positive effects of COVID-19. RESULTS: Caregivers and AYA reported an average of 7.4-7.8 COVID-19 exposures to pandemic-related events and a slightly negative impact of COVID-19 across psychosocial domains, with some positive impacts reported. COVID-19-related distress was moderate and clinically meaningful (4.9-5.2/10) for AYA and caregivers. Racial and ethnically minoritized AYA and caregivers reported higher COVID-19-related distress than non-Hispanic white caregivers. For AYA, distress was also higher among female, college-age (18-22 years), and long-term survivors compared with males, younger AYA, White and those recently off treatment. CEFIS outcomes remained relatively stable over time. CONCLUSIONS: COVID-19 had a significant and consistent negative impact on caregivers and AYA survivors. Racial and ethnically minoritized families and female, college-age, and long-term AYA survivors may require additional psychosocial support. Assessing for COVID-19 impact and distress is important in pediatric oncology to evaluate adjustment and plan targeted interventions.

Development and validation of a measure of adolescent and young adult goal-based quality of life (MAYA-GQOL).

PURPOSE: We developed and validated a measure assessing quality of life (QOL) through importance, attainability, and discrepancy of life goals among adolescents and young adults (AYA) with and without cancer. A specific goal-based QOL measure for AYA fills a critical gap in knowledge for AYA who are at a unique life stage, which may include shifts in priorities and goals. METHODS: Through review of our existing AYA databases on goals, the literature, and cognitive interviews we developed the MAYA-GQOL. Items were administered to AYA with cancer (on/off treatment) (n = 124) and healthy AYA controls (n = 103) aged 15-29 years old. Psychometric analyses for comparison with existing QOL measures and discrepancies in perceived importance/attainability of goals were examined. RESULTS: An item pool of 700 goals, based on prior research, was refined to 173 goals across nine categories: academic, administrative, body, health, job, leisure, interpersonal, intrapersonal, and religion. Validation between the MAYA-GQOL and existing QOL measures was supported. AYA survivors reported fewer overall current goals and fewer administrative, interpersonal, leisure, and religious goals. AYA survivors rated body goal importance significantly higher than healthy controls and intrapersonal goal importance significantly lower. Little discrepancy in importance and attainability across AYA was found. CONCLUSIONS: The MAYA-GQOL represents an innovative way of measuring QOL among AYA by focusing on the relative importance, attainability, and discrepancy of developmentally appropriate goals. The MAYA-GQOL can identify areas of resilience and competence via assessment of important and attainable goals and can further assess how AYA with chronic illness are functioning relative to peers on goal domains relevant to the AYA developmental period.

Stability of M-ABC-2-measured motor functioning in early childhood: Evidence from a large prospective cohort.

AIM: Some studies have reported that children with poor motor functioning tend to improve over time. However, much existing research does not account for regression towards the mean (RTM). Here, we examine measurement stability among 589 children aged 4-5 years. METHOD: We administered the Movement Assessment Battery for Children 2nd Edition annually to 269 children initially scoring above and 252 at or below the 16th percentile. We measured agreement between year 1 and year 2 standard scores using Pearson correlation and derived expected regression towards the mean (RTM). We then regressed follow-up on baseline scores, controlling for relative age, sex, and exact interval between assessments. Finally, we performed a small illustrative simulation. OUTCOMES AND RESULTS: The mean score in the poor-coordination group rose from 5.6 (SD = 1.5) to 7.2 (SD = 2.8). Year 1 and year 2 scores were correlated at r = 0.66, corresponding to predicted RTM in the MI group of 1.56, close to the observed change of 1.57. Degree of change was not associated with time between assessments. INTERPRETATION: Observed improvements in motor functioning were consistent with measurement error. The stability of motor functioning may be greater than it appears from past research, and reported functional improvements in some studies may be illusory. WHAT THIS PAPER ADDS?

Correlates of Moderate-to-Vigorous Physical Activity in Children With Physical Illness and Physical-Mental Multimorbidity.

This study measured physical activity (PA) and explored its correlates among children with multimorbidity (co-occurring chronic physical and mental illness; MM) versus those with chronic physical illness only (PI). This study used baseline data from the Multimorbidity in Children and Youth Across the Life Course (MY LIFE) study, an on-going cohort study following 263 children with a PI 2 to 16 years of age (mean age: 9.8 years, SD = 4.0; 47.7% female). PA was measured using accelerometry, and demographic and psychosocial variables were collected using questionnaires. Of the 55 children with MM and the 85 with PI with valid accelerometer data, 38.1% and 41.2%, respectively, met average daily PA guidelines. Correlates of moderate-to-physical PA (MVPA) among children with MM were age, ρ(53) = -0.45, p = .001, body mass index (BMI), ρ(48) = -0.28, p = .04, self-perceived behavioral conduct, ρ(24) = -0.45, p = .02, physical health-related quality of life, ρ(51) = 0.56, p < .001, and peer support, ρ(52) = 0.27, p = .04. Correlates of MVPA among children with PI were age, ρ(83) = -0.40, p < .001, sex, ρ(83) = -0.26, p = .01, self-perceived social competence, ρ(31) = 0.42, p = .02, self-perceived athletic competence, ρ(31) = 0.48, p = .005, physical health-related quality of life, ρ(83) = 0.34, p = .001, participation in community sport, ρ(31) = 0.41, p = .02, and family functioning, ρ(83) = 0.26, p = .02. These results demonstrate that children with PI and MM are insufficiently active and their PA is correlated with demographic and psychosocial factors.

Trajectories of Pain Severity and Interference Among Adolescent and Young Adults With Cancer: A Microlongitudinal Study.

OBJECTIVE: Cancer-related pain is a pervasive concern among adolescent and young adults (AYA) with cancer and is an emerging long-term health concern. Few studies have examined the complex contributions to pain among AYA. We aimed to fill a gap by (1) identifying subgroups of AYA with distinct patterns of pain severity and interference over time and (2) explore possible predictors of these patterns. METHODS: Daily text messages over a 9-week period were used to model group-based trajectory analyses of pain severity and interference by identifying subgroups of AYA who experience common patterns of changes in pain. Demographic, medical, physical symptom burden, and psychological distress were examined as possible predictors of these patterns. RESULTS: AYA were on average 16.93 years old and 2.5 years since diagnosis. Subgroups of AYA were identified for pain severity and interference over time: high variability (37.7%; 37.7%, respectively), consistent high pain (35.8%; 18.9%, respectively), and consistent low pain (26.4%; 43.4%, respectively). AYA with greater psychological distress were more likely to belong to the high consistent pain severity and interference groups. AYA with greater physical symptoms were more likely to belong to the high consistent pain interference group. No significant associations between demographic/medical characteristics and trajectory subgroups were found. CONCLUSIONS: AYA with elevated physical and psychological symptoms were more likely to experience high consistent pain severity and pain interreference over time. Interventions aimed at reducing pain through focusing on teaching AYA how to alleviate physical symptoms and teaching coping skills to manage psychological distress may be beneficial.

Associations Between Fitness, Physical Activity, and Fatness in Preschool Children With Typical and Atypical Motor Coordination.

Purpose: Increased adiposity in children confers a higher risk of cardiovascular disease in later life, with low cardiorespiratory fitness strongly linked to poorer metabolic health. Children with motor coordination problems are likely to be less physically fit and at a higher risk of obesity. In this study, we examined the associations between aerobic and anaerobic fitness, device-measured physical activity, and body adiposity in children (aged 4-5 years) with typical and atypical motor coordination. Methods: Baseline data from the Coordination and Activity Tracking in CHildren (CATCH) cohort study were utilised. The assessments included aerobic and anaerobic fitness via time-to-exhaustion on Bruce treadmill test and normalised mean power on Wingate cycling test, respectively; light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), and sedentary time via accelerometry; and body adiposity (%) via bioelectrical impedance analysis (BIA). The Movement Assessment Battery for Children-Second Edition (MABC-2) was used to assess motor coordination and classify children as typically developing (TD, >16th percentile) or at risk of developmental coordination disorder (DCD, ≤16th percentile). General linear regression models were fitted to examine associations. Results: The analyses included 495 participants (5.0 ± 0.6 years, 56% male, and body adiposity 22.7 ± 4.2%). Aerobic fitness (ß = -0.006, p < 0.001) and MVPA (ß = -0.018, p = 0.045) were negatively associated with body adiposity when adjusted for age, sex, and MABC-2 score. There was no relationship between sedentary time and body adiposity. There were no interactions of sex or MABC-2 score with any variable. Conclusion: Lower aerobic fitness and MVPA were associated with higher body adiposity in preschoolers, regardless of motor coordination. Interventions targetting improved aerobic fitness and MVPA are therefore warranted in both TD and atypically developing preschoolers. Whether maintaining high aerobic fitness in children with possible DCD confers protection against obesity requires longitudinal investigation.

COVID-19 Exposure and Family Impact Scales for Adolescents and Young Adults.

OBJECTIVE: To understand the impact of the coronavirus disease 2019 (COVID-19) pandemic on adolescents and young adults (AYAs), we adapted the COVID-19 Exposure and Family Impact Scales (CEFIS; Kazak et al., 2021) for AYAs. Here, we report on the development, structure, and psychometric properties of the CEFIS-AYA. METHODS: The CEFIS-AYA was developed by a multidisciplinary, multi-institutional team using a rapid iterative process. Data from 3,912 AYAs from 21 programs at 16 institutions across the United States were collected from May 2020 to April 2021. We examined the underlying structure of the CEFIS-AYA using principal component analysis (PCA), calculated internal consistencies, and explored differences in scores by gender and age. RESULTS: Participants reported exposure to a range of COVID-19-related events (M = 9.08 events, of 28). On the bidirectional 4-point Impact scale, mean item scores were mostly above the midpoint, indicating a slightly negative impact. Kuder-Richardson 20/Cronbach's Alpha was good for Exposure (α = .76) and excellent for Impact (α = .93). PCA identified seven factors for Exposure (Severe COVID-19, Loss of Income, Limited Access to Essentials, COVID-19 Exposure, Disruptions to Activities, Disruptions to Living Conditions, and Designation as an Essential Worker) and five for Impact (Self and Family Relationships, Physical Well-Being, Emotional Well-Being, Social Well-Being, and Distress). Gender and age differences in CEFIS-AYA scores were identified. DISCUSSION: Initial reliability data are strong and support use of the CEFIS-AYA for measuring the effect of the COVID-19 pandemic on AYAs in research and clinical care.

Sociodemographics, Health Competence, and Transition Readiness Among Adolescent/Young Adult Cancer Survivors.

OBJECTIVE: Fewer than one-third of childhood cancer survivors receive follow-up from an adult provider, and adolescent and young adults (AYAs) from structurally minoritized sociodemographic groups often face health disparities that can impact transition to adult-oriented care. The primary aim of this study was to determine the relation among sociodemographic factors, cumulative effects, and transition beliefs/expectations and goals, and the moderating role of health competence beliefs in AYA survivors of childhood cancer. METHODS: A total of 195 AYAs (aged 15-29) reported sociodemographic information, completed the Transition Readiness Inventory assessing positive beliefs/expectations and goals related to transition, and completed the Health Competence Beliefs Inventory assessing health perceptions, healthcare satisfaction, cognitive competence, and autonomy. A cumulative sociodemographic factor variable was computed to investigate the potential additive effects of multiple sociodemographic factors associated with disparities. T-tests, Pearson correlations, and multivariate linear regressions were used. RESULTS: Cumulative sociodemographic factors were not related to transition readiness, and insurance type was the only factor associated with health competence beliefs and transition readiness, such that AYAs with public insurance reported lower healthcare satisfaction, cognitive competence, and transition goals relative to those with private insurance. There were no interaction effects; however, health competence beliefs were significantly associated with transition beliefs/expectations and goals. CONCLUSION: Public insurance is a barrier to holding positive beliefs/expectations and goals about transition, yet other sociodemographic factors associated with risks for poor transfer were not related to transition readiness. Multi-level interventions to reduce disparities and improve transition readiness should target health competence beliefs and barriers created by insurance.

Investigating the mediating role of internalizing and externalizing problems on physical fitness in children at risk for Developmental Coordination Disorder.

Children with Developmental Coordination Disorder (DCD) have poorer fitness and greater internalizing/externalizing problems compared with typically developing (TD) children. The purpose of this study was to examine the potential mediating role of internalizing/externalizing problems on the relationship between children at risk for DCD (DCDr) and physical fitness. Participants (N = 589) included 288 children with DCDr (Mage = 4.9, 67% male) and 301 TD children (Mage = 5.0, 48% male). Motor skills were assessed using the Movement Assessment Battery for Children-2nd edition (DCDr: at or below the 16th percentile, TD: >16th percentile). Parent-reported internalizing/externalizing problems were measured using the Child Behaviour Checklist. Physical fitness was measured using the Bruce protocol maximal treadmill test and a 30-second Wingate test. Tests for indirect (mediation) effects were assessed using the PROCESS v3.5 software macro. Children with DCDr had higher internalizing and externalizing problems (p < 0.001, d = 0.35-0.46) and poorer fitness levels (p < 0.001, ηp2 = 0.05-0.09). Internalizing problems mediated fitness performance on both the treadmill and Wingate test; however, externalizing problems showed no mediating effects. Thus, interventions targeting internalizing problems may contribute to improving performance on fitness-based tasks among children with DCDr. Novelty: Children at risk for DCD have poorer fitness when compared with TD children. Children at risk for DCD experience greater internalizing/externalizing problems. Internalizing problems were found to mediate the DCD-physical fitness relationship.

Effects of Comorbid Developmental Coordination Disorder and Symptoms of Attention Deficit Hyperactivity Disorder on Physical Activity in Children Aged 4-5 Years.

Developmental coordination disorder (DCD) is often comorbid with attention-deficit/hyperactivity disorder (ADHD). While children with DCD engage in less moderate-to-vigorous physical activity (MVPA) compared to typically developing (TD) children, research pertaining to how ADHD affects this relationship is limited. We investigated the effect of ADHD on MVPA among children at risk for DCD (DCDr). 507 children aged 4-5 years (DCDr = 233, TD = 274) participated. Motor skills were assessed using the Movement Assessment Battery for Children-2nd edition (DCDr; ≤ 16th percentile), ADHD symptoms were assessed using the Child Behaviour Checklist, and Actigraph accelerometers measured MVPA over seven days. DCD did not negatively affect MVPA, however, after adjusting for ADHD symptoms, the effect of DCD became significant and was driven by symptoms of inattention. Symptoms of ADHD may be suppressing the negative effects of DCD on MVPA, highlighting the importance of assessing and controlling for ADHD symptoms in this population.

Cross-Sectional Associations Between Wake-Time Movement Compositions and Mental Health in Preschool Children With and Without Motor Coordination Problems.

Movement behaviors have been found to be important correlates of health for children and may be particularly important for children with Developmental Coordination Disorder (DCD) who often experience greater mental health problems. To date, however, little research has investigated the daily movement composition of preschool children with Developmental Coordination Disorder (DCD) and/or its association with mental health. The purpose of the current study was to: (1) examine whether differences in movement compositions (i.e., sedentary time, light physical activity, moderate-to-vigorous physical activity) exist between typically developing (TD) preschool-age children and those at risk for DCD (rDCD); and (2) investigate associations between movement compositions and mental health indicators. This cross-sectional study used the baseline cohort data from the Coordination and Activity Tracking in CHildren (CATCH) study. A total of 589 preschool-age children (Mage = 4.94 ± 0.59 years; 57.4% boys) were included in this analysis, of which 288 scored at or below the 16th percentile on the Movement Assessment Battery for Children-2 and were thus classified as rDCD. Wake time movement behaviors were measured using accelerometers and parents completed the Child Behavior Checklist to assess their child's mental health (i.e., internalizing and externalizing problems). Compositional data analysis techniques were used. After adjusting for potential confounders, the results demonstrated similar movement compositions between TD and rDCD children. Among the full sample, findings revealed a significant association between sedentary time and externalizing problems, however, each of the other associations did not reach statistical significance. These results are consistent with emerging evidence demonstrating similar patterns of physical activity and sedentary time among TD children and those classified as rDCD during the preschool years. Although movement behaviors explained little variance in mental health during this period, future research should investigate when movement compositions diverge, and how these changes may impact the mental health of TD children and those classified as rDCD later in childhood.

Contextual Predictors of Engagement in a Tailored mHealth Intervention for Adolescent and Young Adult Cancer Survivors.

BACKGROUND: Despite the promise of mobile health (mHealth), engagement is often too low for durable health behavior change, and little is known regarding why certain individuals abandon mHealth tools. PURPOSE: Guided by a mHealth engagement framework, we evaluated contextual predictors of objective engagement with an app for adolescents and young adults (AYA) who survived cancer. METHODS: One hundred and ten AYA survivors (M age = 20.5, 43% female, 30% racial/ethnic minority) were randomized to receive a disease self-management app that delivered 1-2 tailored messages/day for 16 weeks, and contained a survivorship care plan (SCP). Demographic, disease, psychosocial, and setting characteristics were examined as predictors of three objective engagement outcomes: (a) % of active app days, (b) % of messages read, and (c) viewed SCP in the app versus not. A subsample (n = 10) completed qualitative interviews to further assess engagement barriers. RESULTS: Self-reported uninterrupted app access (ß = -0.56, p < .001), iPhone (vs. Android) ownership (ß = 0.30, p < .001), and receiving the intervention in the summer (ß = -0.20, p = .01) predicted more active days. Lower depressed mood (ß = -0.30, p = .047) and uninterrupted app access (ß = -0.50, p < .001) predicted more messages read. Qualitatively, technical glitches and competing priorities were described as engagement barriers, whereas certain types of messages (e.g., health goal messages) were perceived as engaging. Among participants who had uninterrupted app access (n = 76), higher baseline motivation to change, better health perceptions, using the app during the summer, and iPhone ownership predicted higher engagement. CONCLUSIONS: Findings demonstrate the importance of comprehensively assessing and planning for multi-level ecological determinants of mHealth engagement in future trials. CLINICALTRIALS.GOV IDENTIFIER: NCT03363711.

Examining Device-Assessed Physical Activity During the Transition Into Emerging Adulthood: Results From the MovingU Study.

PURPOSE: The purpose of the present study was to conduct the first longitudinal investigation using accelerometers to assess physical activity behavior change during individuals' acute transition out of high school. METHODS: Participants in the current investigation were a part of a prospective cohort study called the MovingU Study. Participants were 163 adolescents (Mage = 16.9 ± .5; n = 88 females) recruited at the beginning of their final year at high school, with follow-up at 6 and 18 months. Participants wore the ActiGraph Link for 7 days at each assessment period. RESULTS: Results from the mixed-effects models found no significant differences in moderate-to-vigorous physical activity or total physical activity between baseline and follow-up at 6 months (Estimates = 1.91 and -2.26, p's > .05), respectively; however, significant differences in both moderate-to-vigorous physical activity and total physical activity between baseline and follow-up at 18 months after the transition out of highschool (Estimate = -123.62 and -15.38, p's < .01). CONCLUSIONS: Current findings provide additional compelling data to show precipitous declines in physical activity as adolescents transition out of high school and into emerging adulthood. Continued efforts to maintain or increase physical activity during adolescence and the prevention of physical activity declines as they enter emerging adulthood could have important public health benefits.