Describing the diurnal relationships between objectively measured mother and infant physical activity

Modeling the relationship between maternal health and infant behavioral characteristics based on machine learning

This study investigates the impact of maternal health on infant development by developing a mathematical model that delineates the relationship between maternal health indicators and infant behavioral characteristics and sleep quality. The main contributions of this study are as follows: (1) The use of Spearman's correlation coefficient to conduct correlation analysis and explore the main factors that influence infant behavioral characteristics based on maternal indicators. (2) The development of a combined model using machine learning techniques, including random forest (RF) and multilayer perceptron (MLP) to establish the relationship between maternal health (physical and psychological health) and infant behavioral characteristics. The model is trained and validated by the real data respectively. (3) The use of the Fuzzy C-means (FCM) dynamic clustering model to classify infant sleep quality. An RF regression model is constructed to predict infant sleep quality using maternal indicators. This study is significant in gaining a deeper understanding of the relationship between maternal health indicators and infant development, and provides a basis for future intervention measures.

Relationships between physical behaviour phenotypes of mothers in pregnancy and their offspring with child body composition

AIM

The aim of this study was to identify physical behaviour phenotypes in mothers in the first trimester and in their offspring at 24 months of age. The secondary aim was to examine relationships between mother and child behaviours with child body composition at age 24 months.

METHODS

Longitudinal secondary analysis of the Glowing cohort collected between 1 February 2011 and 22 August 2017 in Little Rock, Arkansas. Behaviours were measured using ankle-worn accelerometers in mothers during the first trimester and offspring at 24 months of age, including total activity, sleep, sedentary time and a novel variable of daily variation, patternicity. Child body fat was measured using quantitative nuclear magnetic resonance.

RESULTS

Three phenotypes were identified for mothers and children (n = 159 complete dyads). There were no relationships between mother and child phenotypes, but higher maternal patternicity was associated with higher child patternicity (0.2, 95% CI 0.1, 0.3, p = 0.001). There were no associations between mother or child phenotypes with child body composition, however higher child activity was associated with lower body fat (-0.01, 95% CI: -0.02, -0.001, p = 0.031).

CONCLUSION

Limited associations were found between mothers' pregnancy physical behaviours with child behaviours or child body composition at 24 months of age. Factors such as child diet or current parental physical activity may be better predictors of early childhood outcomes.

Actigraphy methodology in the Kids Mod PAH trial: Physical activity as a functional endpoint in pediatric clinical trials

Pulmonary vasodilator treatment can improve hemodynamics, right ventricular function, symptoms, and survival in pediatric pulmonary hypertension (PH). However, clinical trial data are lacking due to many constraints. One major limitation is the lack of relevant trial endpoints reflective of hemodynamics or functional status in patients in whom standard exercise testing is impractical, unreliable, or not reproducible. The Kids Mod PAH trial (Mono- vs. Duo Therapy for Pediatric Pulmonary Arterial Hypertension) is an ongoing multicenter, Phase III, randomized, open-label, pragmatic trial to compare the safety and efficacy of first-line combination therapy (sildenafil and bosentan) to first-line monotherapy (sildenafil alone) in 100 pediatric patients with PH across North America. Investigators will measure participants' physical activity with a research-grade, wrist-worn actigraphy device at multiple time points as an exploratory secondary outcome. Vector magnitude counts per minute and activity intensity will be compared between the treatment arms. By directly and noninvasively measuring physical activity in the ambulatory setting, we aim to identify a novel, simple, inexpensive, and highly reproducible approach for quantitative assessment of exercise tolerance in pediatric PH. These data will increase the field's understanding of the effect of pulmonary vasodilator treatment on daily activity - a quantitative measure of functional status and wellbeing in pediatric PH and a potential primary outcome for future clinical trials in children with cardiopulmonary disorders.

Protocol for the PLAY Study: a randomised controlled trial of an intervention to improve infant development by encouraging maternal self-efficacy using behavioural feedback

INTRODUCTION

The early infant caregiving environment is crucial in the formation of parent-child relationships, neurobehavioural development and thus child outcomes. This protocol describes the Play Love And You (PLAY) Study, a phase 1 trial of an intervention designed to promote infant development through encouraging maternal self-efficacy using behavioural feedback, and supportive interventions.

METHODS AND ANALYSIS

210 mother-infant pairs will be recruited at delivery from community clinics in Soweto, South Africa, and individually randomised (1:1) into two groups. The trial will consist of a standard of care arm and an intervention arm. The intervention will start at birth and end at 12 months, and outcome assessments will be made when the infants are 0, 6 and 12 months of age. The intervention will be delivered by community health helpers using an app with resource material, telephone calls, in person visits and behavioural feedback with individualised support. Every 4 months, mothers in the intervention group will receive rapid feedback via the app and in person on their infant's movement behaviours and on their interaction styles with their infant. At recruitment, and again at 4 months, mothers will be screened for mental health risk and women who score in the high-risk category will receive an individual counselling session from a licensed psychologist, followed by referral and continued support as necessary. The primary outcome is efficacy of the intervention in improving maternal self-efficacy, and the secondary outcomes are infant development at 12 months, and feasibility and acceptability of each component of the intervention.

ETHICS AND DISSEMINATION

The PLAY Study has received ethical approval from the Human Research Ethics Committee of the University of the Witwatersrand (M220217). Participants will be provided with an information sheet and required to provide written consent prior to being enrolled. Study results will be shared via publication in peer-reviewed journals, conference presentation and media engagement.

TRIAL REGISTRATION NUMBER

This trial was registered with the Pan African Clinical Trials Registry (https://pactr.samrc.ac.za) on 10 February 2022 (identifier: PACTR202202747620052).

Association between objectively measured physical activity of parents and children: The 2015 Pelotas birth cohort

OBJECTIVE

The present study aims to verify the association between objectively measured physical activity (PA) of parents and child in the 2015 Pelotas Birth Cohort, a population-based Brazilian birth cohort.

METHODS

The main exposures were paternal moderate-to-vigorous PA (MVPA) collected when children were 1-year of age, and maternal MVPA when children were 2-years. The outcome was children's overall PA (ENMO in mg) at 4-years of age. PA was measured using wrist-worn ActiGraph accelerometers during seven complete days. Potential confounders were maternal age, maternal and paternal education, and household asset index. Crude and adjusted analyses were performed using linear regressions.

RESULTS

Our analytical sample comprised 1326 children with valid accelerometer data and with both parents. Mean child PA was 48.1 mg, being higher among boys compared with girls (Boys: 50 mg, 95% CI: 49.1; 50.9; Girls: 46 mg, 95% CI: 45.2; 46.8). Children's PA at 4 years was positively associated with maternal MVPA at age 2 years (p < 0.001) and paternal MVPA at age 1 year (p < 0.001). A child with both parents in the highest tertile of unbouted MVPA presented higher overall PA (p = 0.001). Similar results were found for boys; however, for girls, paternal unbouted MVPA was not associated with overall PA.

CONCLUSION

Overall, our results showed a positive impact of maternal and parental PA over 4-year-old children acceleration. These findings could be valuable when planning evidence-based interventions and policies to promote PA in young children, providing a broader perspective over the role of parents over children's behavior.

Validity of GENEActiv Accelerometer Wear and Nonwear Time for Use in Infants

BACKGROUND

Tummy time is recommended by the World Health Organization as part of its global movement guidelines for infant physical activity. To enable objective measurement of tummy time, accelerometer wear and nonwear time requires validation. The purpose of this study was to validate GENEActiv wear and nonwear time for use in infants.

METHODS

The analysis was conducted on accelerometer data from 32 healthy infants (4-25 wk) wearing a GENEActiv (right hip) while completing a positioning protocol (3 min each position). Direct observation (video) was compared with the accelerometer data. The accelerometer data were analyzed by receiver operating characteristic curves to identify optimal cut points for second-by-second wear and nonwear time. Cut points (accelerometer data) were tested against direct observation to determine performance. Statistical analysis was conducted using leave-one-out validation and Bland-Altman plots.

RESULTS

Mean temperature (0.941) and z-axis (0.889) had the greatest area under the receiver operating characteristic curve. Cut points were 25.6°C (temperature) and -0.812g (z-axis) and had high sensitivity (0.84, 95% confidence interval, 0.838-0.842) and specificity (0.948, 95% confidence interval, 0.944-0.948).

CONCLUSIONS

Analyzing GENEActiv data using temperature (>25.6°C) and z-axis (greater than -0.812g) cut points can be used to determine wear time among infants for the purpose of measuring tummy time.

The Impact of Sedentary Behavior After Childbirth on Postpartum Lumbopelvic Pain Prolongation: A Follow-Up Cohort Study

Background: A substantial number of women have postpartum lumbopelvic pain (LBPP). Additionally, many postpartum women stay for long inactivity. Therefore, we examined the impact of sedentary behavior on persistent postpartum LBPP and the difference in this impact due to parity. Materials and Methods: This cohort study followed up women who had reported LBPP at 4 months postpartum and divided them into the presence or absence of LBPP at 10 months postpartum. Sedentary time and physical activity were assessed at 4 months postpartum using the International Physical Activity Questionnaire short form. Univariate and multivariate logistic regression analysis was used to calculate persistent LBPP odds ratios (ORs) according to sedentary times, followed by stratification analysis by parity. The institutional review board approval was obtained. Results: A total of 182 women (32.1 ± 5.1 years old) were included for analysis and 112 (61.5%) participants had persistent LBPP at 10 months postpartum. Those with persistent LBPP at 10 months postpartum had increased sedentary time (5.0 [3.0-7.0] hours vs. 3.5 [2.0-6.0] hours, p = 0.05) at 4 months compared with those without LBPP. Even after adjusting for confounding factors, longer sedentary time at 4 months postpartum affected persistent LBPP at 10 months postpartum in primiparas (adjusted OR [95% confidence interval, CI] = 1.28 [1.05-1.55]), but longer sedentary time at 4 months postpartum did not affect persistent LBPP at 10 months postpartum in multiparas (adjusted OR [95% CI] = 0.96 [0.86-1.07]). Conclusion: Sedentary behavior after childbirth is associated with persistent postpartum LBPP in primiparas, but not multiparas. Reducing sedentary time might be beneficial to prevent persistent postpartum LBPP for primiparas.

Discrimination of wear and non-wear in infants using data from hip- and ankle-worn devices

INTRODUCTION

A key component to analyzing wearable sensor data is identifying periods of non-wear. Traditionally, strings of consecutive zero counts (e.g. >60-minutes) are identified indicating periods of non-movement. The non-movement window length is then evaluated as wear or non-wear. Given that non-movement is not equivalent to non-wear, additional criteria should be evaluated to objectively identify periods of non-wear. Identifying non-wear is especially challenging in infants due to their sporadic movement, sleep frequency, and proportion of caregiver-generated movement.

PURPOSE

To use hip- and ankle-worn ActiGraph wGT3X-BT (wGT3X-BT) data to identify non-wear in infants.

METHODS

Fifteen infant participants [mean±SD; age, 8.7±1.7 weeks (range 5.4-11.3 weeks); 5.1±0.8 kg; 56.2±2.1 cm; n = 8 females] wore a wGT3X-BT on the hip and ankle. Criterion data were collected during two, 2-hour directly observed periods in the laboratory. Using raw 30 Hz acceleration data, a vector magnitude and the inclination angle of each individual axis were calculated before being averaged into 1-minute windows. Three decision tree models were developed using data from 1) hip only, 2) ankle only, and 3) hip and ankle combined.

RESULTS

The hip model classified 86.6% of all minutes (wear and non-wear) correctly (F1 = 75.5%) compared to the ankle model which classified 90.6% of all minutes correctly (F1 = 83.0%). The combined site model performed similarly to the ankle model and correctly classified 90.0% of all minutes (F1 = 80.8%).

CONCLUSION

The similar performance between the ankle only model and the combined site model likely indicates that the features from the ankle device are more important for identifying non-wear in infants. Overall, this approach provides an advancement in the identification of device wear status using wearable sensor data in infants.

Physical Activity and Adiposity in a Racially Diverse Cohort of US Infants

OBJECTIVE

Early life physical activity may help prevent obesity, but objective quantification in infants is challenging.

METHODS

A total of 506 infants were examined from 2013 to 2016. Infants wore accelerometers for 4 days at ages 3, 6, 9, and 12 months. Daily log-transformed physical activity counts were computed, averaged, and standardized across assessments. A linear mixed model was used to examine trends in standardized physical activity counts as well as associations between physical activity and BMI z score, sum of subscapular and triceps skinfold thickness for overall adiposity (SS+TR), and their ratio for central adiposity (SS:TR).

RESULTS

Among infants, 66% were black and 50% were female. For each additional visit, standardized physical activity counts increased by 0.23 (CI: 0.18 to 0.27; P < 0.0001). This translates to 126.3 unadjusted physical activity counts or a 4% increase for each visit beyond 3 months. In addition, a 1-SD increase in standardized physical activity counts (550 unadjusted physical activity counts) was associated with a 0.01-mm lower SS:TR (95% CI: -0.02 to -0.001; P = 0.03). However, standardized physical activity counts were not associated with BMI z score or SS+TR.

CONCLUSIONS

Physical activity increased over infancy and was associated with central adiposity. Despite limitations, researchers should consider objective measurement in infants.