Parents' Experiences of Having a Child with Down Syndrome and Sleep Difficulties

Caregiver-implemented intervention to increase use of positive airway pressure for adults with Down syndrome and sleep apnea

Many individuals with Down syndrome are diagnosed with obstructive sleep apnea (OSA), a medical condition that substantially affects health and quality of life. The most common treatment for OSA is positive airway pressure (PAP) therapy. Few studies have examined interventions to improve PAP therapy adherence for adults with developmental disabilities or have recruited the assistance of caregivers to improve adherence with this therapy in the home. This study evaluated the efficacy of a caregiver-implemented behavioral intervention to increase PAP use for four adults with Down syndrome and OSA. The experimenters trained caregivers via telehealth to implement the intervention in their homes. The intervention consisted of graduated exposure, noncontingent reinforcement, and differential positive and negative reinforcement without escape extinction. The intervention increased the duration of PAP use for all four participants. These results provide preliminary support for the efficacy of this intervention and service-delivery model.

Longitudinal change in sleep, functional, and behavioural characteristics in a cohort of children with Down syndrome

This paper describes the longitudinal change in sleep, functional, and behavioural characteristics in a cohort of children with Down syndrome, including the effect of sleep interventions in a subset. A prospective longitudinal cohort study was undertaken in children with Down syndrome aged 3-16 years comparing (1) children referred to a tertiary sleep medicine clinic who received sleep hygiene advice and an additional sleep treatment (DSref_I) with (2) children attending the same clinic who only received sleep hygiene advice (DSref_N) and (3) children recruited from the community who, were not receiving any treatment (DScomm). Data collected included demographic and medical history information, Child Sleep Habits Questionnaire-Abbreviated (CSHQ-A), Life-Habits Questionnaire (Life-H) and Child Behaviour Checklist (CBCL) at baseline and then 6-monthly for a total of 18 months. Any sleep interventions during this time were recorded. A total of 57 children were included (DSref_I, n = 16; DSref_N, n = 25; DScomm, n = 16). At recruitment, the median CSHQ-A total score was high (>41) in all three subgroups, but highest in the DSref_I subgroup (median [interquartile range] Dsref_I score 58 [53-66] versus DSref_N score 49 [43-53], p = 0.019). Although improved, 80% of participants in the DSref_I subgroup still had a CSHQ-A total score >41 at the last assessment point. The median total Life-H and total CBCL scores were not significantly different between groups at baseline and there was no significant time, group, or interaction effect seen through the study. Over an 18-month period, sleep problems were seen to persist in children with Down syndrome. Treatment resulted in only modest improvements in sleep.

Effect of sleep disordered breathing severity in children with Down syndrome on parental wellbeing and social support

INTRODUCTION

Sleep disorders, particularly sleep disordered breathing (SDB), are common in children with Down syndrome (DS). We investigated the relationship between SDB severity and parental psychological wellbeing and their perception of social support.

METHODS

44 children with DS (3-19 years) underwent overnight polysomnography and were categorised into three groups: primary snoring, Mild and Moderate/Severe obstructive sleep apnoea (OSA). Parents completed questionnaires about their child's behaviour (Child Behavior Checklist), sleep symptoms (Pediatric Sleep Survey Instrument) and SDB-related quality of life (OSA-18), together with the DUKE-UNC Functional Social Support (DUKE) and Psychological General Well-Being Index (PGWBI) questionnaires for themselves. 34 children completed a follow-up study after 2 years.

RESULTS

There were no significant differences between SDB severity groups for parental perceived social support or psychological wellbeing. Total scores on the DUKE were below average and PGWBI scores were indicative of moderate psychological distress in all three groups. Reduced perceived levels of social support were significantly correlated with externalising child behaviour and sleep disturbance. Diminished parental psychological wellbeing was also significantly correlated with increased sleep disturbances and reduced quality of life in children. At follow-up there were no significant changes in any questionnaire outcome, however parents of children with improved SDB severity had improved PGWBI vitality scores.

CONCLUSION

The degree of parent-reported sleep disturbance in children with DS was linked to suboptimal perceived parental social support and poor psychological wellbeing. Our results emphasise the need for enhanced awareness of the detrimental effects of sleep problems in children with DS on parental wellbeing.

Unraveling Down Syndrome: From Genetic Anomaly to Artificial Intelligence-Enhanced Diagnosis

Down syndrome arises from chromosomal non-disjunction during gametogenesis, resulting in an additional chromosome. This anomaly presents with intellectual impairment, growth limitations, and distinct facial features. Positive correlation exists between maternal age, particularly in advanced cases, and the global annual incidence is over 200,000 cases. Early interventions, including first and second-trimester screenings, have improved DS diagnosis and care. The manifestations of Down syndrome result from complex interactions between genetic factors linked to various health concerns. To explore recent advancements in Down syndrome research, we focus on the integration of artificial intelligence (AI) and machine learning (ML) technologies for improved diagnosis and management. Recent developments leverage AI and ML algorithms to detect subtle Down syndrome indicators across various data sources, including biological markers, facial traits, and medical images. These technologies offer potential enhancements in accuracy, particularly in cases complicated by cognitive impairments. Integration of AI and ML in Down syndrome diagnosis signifies a significant advancement in medical science. These tools hold promise for early detection, personalized treatment, and a deeper comprehension of the complex interplay between genetics and environmental factors. This review provides a comprehensive overview of neurodevelopmental and cognitive profiles, comorbidities, diagnosis, and management within the Down syndrome context. The utilization of AI and ML represents a transformative step toward enhancing early identification and tailored interventions for individuals with Down syndrome, ultimately improving their quality of life.

Siblings' experiences of sleep disruption in families with a child with Down syndrome

OBJECTIVE

Adverse effects of sleep disruption are identified in parents who live with a child with Down Syndrome (DS), yet there is no research on siblings' experiences. This study addresses this knowledge gap.

DESIGN

A qualitative research study using semi-structured interviews to understand the experiences of siblings of a child with DS and sleep difficulties from the perspectives of parents and siblings.

PARTICIPANTS

Eleven siblings aged 5-15 years old, and 11 parents, from 8 families with a child with DS in Australia.

METHODS

Semi-structured sibling interviews explored what it was like to have a sibling with DS and sleep difficulties; the participant's own sleep; how their sleep affected how they felt during the day; how sleep impacted their family; and advice that they would give to other siblings. Parent interviews included similar topics; here we report on excerpts in which parents reference siblings. Interviews were audio recorded, transcribed verbatim, and analyzed using a reflexive thematic analysis.

RESULTS

Siblings and parents acknowledge sleep disruption for siblings; yet sleep disruption is normalized, viewed with acceptance and inevitability. Siblings report adverse effects from sleep disruption, view sleep in a relational way, and cope with sleep disruption. Parents can underestimate siblings' sleep disruption and are uncertain whether siblings' symptoms result from sleep disruption or other causes.

CONCLUSIONS

Siblings of a child with DS experience sleep disruption and may be at risk of developing long-term health problems without focused support.

Contactless sleep monitoring using the Sonomat in children with Down syndrome

BACKGROUND

Children with Down syndrome (DS) require multiple sleep studies throughout childhood to diagnose and monitor sleep disordered breathing (SDB). Previous research suggests sensors applied during polysomnography (PSG) are poorly tolerated by children with DS. The Sonomat is a contactless device previously validated in typically developing children, and adult populations. Our study aimed to compare simultaneous Sonomat and PSG recordings in children with DS to determine the suitability of the Sonomat for use in this population.

METHODS

Fifty children with DS undergoing diagnostic PSG were recruited from the Queensland Children's Hospital sleep laboratory. Agreement for sleep and respiratory parameters were assessed using concordance correlation coefficients (CCC), while detection and classification of SDB were assessed using indicators such as sensitivity, specificity, likelihood ratios, and receiver operator characteristic curves.

RESULTS

Comparison of parameters including the apnea-hypopnea index (CCC=89%; 95%CI 76, 93), and obstructive events index (CCC=74%; 95%CI 44, 88) showed reasonable agreement between Sonomat and PSG. The Sonomat showed outstanding ability to differentiate between the presence and absence of SDB (area under the curve [AUC]=0.97; 95%CI 0.93, 1.00), though we are uncertain of its ability to classify SDB profile and severity due to sample size limitations resulting in wide confidence intervals.

CONCLUSIONS

The easy-to-use, non-invasive nature of the Sonomat make it ideal for use in the screening of SDB in children with DS. Further data are needed to determine its suitability for classifying SDB profile and severity, including within the home, and for its use in other neurodevelopmental groups.

Communicating the complex lives of families that include a child with Down syndrome

Families of children with Down syndrome experience complex lives and needs, yet the few existing studies on these families are written in conventional academic prose that is not optimal for knowledge translation beyond academia, particularly for busy healthcare professionals. In this paper, we Depart Radically in Academic Writing (DRAW) (Mackinlay, 2022) and present data poetry and two case studies that draw upon semi-structured interviews with mothers, fathers, and siblings, who were interviewed separately about their experiences of having a child/sibling with Down syndrome. We introduce our interdisciplinary team that includes academics and clinicians to contextualise our focus on research translation. We demonstrate that writing with creative criticality (i.e. 'DRAWing') contributes an embodied and affective understanding of research participants' stories, which is largely lacking in the academic literature on families of children with Down syndrome and the sociology of health and illness field more broadly. Moreover, DRAWing can impact audiences emotionally as well as intellectually (Richardson, 2003, p. 924), which has important knowledge translation implications for both healthcare professionals and these families. DRAWing can capture healthcare professionals' attention, prompting them to critically reflect on their practices and opportunities for improving care and treatment for these families.