Characteristics of tummy time and dose-response relationships with development in infants

Comorbidities of deformational plagiocephaly in infancy: A scoping review

AIM

While deformational plagiocephaly (DP) is suspected to be associated with comorbidities, their nature and prevalence are unclear. This scoping review aims to report DP comorbidities occurring until the age of 2 years, their prevalence and whether they depend on the child's age and sex.

METHODS

Relevant studies were identified by searching the Cochrane, MEDLINE, EMBASE, PubMed and EBSCO databases from 1992 to 30 April 2021. Data on study characteristics, comorbidities and assessment instruments were extracted and qualitatively synthesised. Risk of bias was assessed and studies with high risk of bias were excluded.

RESULTS

Studies meeting selection criteria (n = 27) often evaluated groups from tertiary clinics, implying selection bias. Studies reported on developmental delay (n = 16), limited speech production (n = 1), auditory (n = 3), visual (n = 3), mandibular (n = 3) and neurological impairments (n = 1). The data did not allow prevalence calculation or modifying effect of sex. Due to biased data, the review provided no evidence on DP comorbidities. Weak evidence suggested that in the selective samples, DP was associated with motor and language delays in the first year.

CONCLUSION

Due to biased data, no evidence on comorbidity in infants with DP was available. Our study underlined the need of risk of bias assessment in scoping reviews.

Development and content validity of an application to assess 24-hour movement behaviors in 0-4-year-old children involving end-users and key stakeholders: the My Little Moves app

BACKGROUND

Recently, research focus has shifted to the combination of all 24-h movement behaviors (physical activity, sedentary behavior and sleep) instead of each behavior separately. Yet, no reliable and valid proxy-report tools exist to assess all these behaviors in 0-4-year-old children. By involving end-users (parents) and key stakeholders (researchers, professionals working with young children), this mixed-methods study aimed to 1) develop a mobile application (app)-based proxy-report tool to assess 24-h movement behaviors in 0-4-year-olds, and 2) examine its content validity.

METHODS

First, we used concept mapping to identify activities 0-4-year-olds engage in. Parents (n = 58) and professionals working with young children (n = 21) generated a list of activities, sorted related activities, and rated the frequency children perform these activities. Second, using multidimensional scaling and cluster analysis, we created activity categories based on the sorted activities of the participants. Third, we developed the My Little Moves app in collaboration with a software developer. Finally, we examined the content validity of the app with parents (n = 14) and researchers (n = 6) using focus groups and individual interviews.

RESULTS

The app has a time-use format in which parents proxy-report the activities of their child, using eight activity categories: personal care, eating/drinking, active transport, passive transport, playing, screen use, sitting/lying calmly, and sleeping. Categories are clarified by providing examples of children's activities. Additionally, 1-4 follow-up questions collect information on intensity (e.g., active or calm), posture, and/or context (e.g., location) of the activity. Parents and researchers considered filling in the app as feasible, taking 10-30 min per day. The activity categories were considered comprehensive, but alternative examples for several activity categories were suggested to increase the comprehensibility and relevance. Some follow-up questions were considered less relevant. These suggestions were adopted in the second version of the My Little Moves app.

CONCLUSIONS

Involving end-users and key stakeholders in the development of the My Little Moves app resulted in a tailored tool to assess 24-h movement behaviors in 0-4-year-olds with adequate content validity. Future studies are needed to evaluate other measurement properties of the app.