Sleep in Parental Caregivers and Children With Type 1 Diabetes

Feeley, Christine A.; Sereika, Susan M.; Chasens, Eileen R.; Siminerio, Linda M.; Charron‐Prochownik, Denise; Muzumdar, Radhika; Viswanathan, Prakash C.

doi:10.1177/1059840519865942

Cited by 17 publications

(29 citation statements)

References 61 publications

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“…Sleep in people with diabetes and their relatives are closely linked. Both actigraphy-based and self-reported measures of sleep in children with type 1 diabetes have been associated with the same measures in parents [44,47]. Similarly, greater self-reported sleep quality in adults with type 1 diabetes was related to greater sleep quality in their spouses [35].…”

Section: Sleep In Significant Others Of People With Diabetesmentioning

confidence: 81%

Sweet dreams or bitter nightmare: a narrative review of 25 years of research on the role of sleep in diabetes and the contributions of behavioural science

Nefs

Bazelmans²,

Donga

et al. 2019

Diabet. Med.

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The aim of this review was to provide an overview of developments, clinical implications and gaps in knowledge regarding the relationship between diabetes and sleep over the past 25 years, with special focus on contributions from the behavioural sciences. Multiple prospective observational and experimental studies have shown a link between suboptimal sleep and impaired glucose tolerance, decreased insulin sensitivity and the development of type 2 diabetes. While prevalence rates of suboptimal sleep vary widely according to definition, assessment and sample, suboptimal subjective sleep quality appears to be a common reality for one‐third of people with type 1 diabetes and over half of people with type 2 diabetes. Both physiological and psychosocial factors may impair sleep in these groups. In turn, suboptimal sleep can negatively affect glycaemic outcomes directly or indirectly via suboptimal daytime functioning (energy, mood, cognition) and self‐care behaviours. Technological devices supporting diabetes self‐care may have both negative and positive effects. Diabetes and its treatment also affect the sleep of significant others. Research on the merits of interventions aimed at improving sleep for people with diabetes is in its infancy. Diabetes and sleep appear to be reciprocally related. Discussion of sleep deserves a central place in regular diabetes care. Multi‐day, multi‐method studies may shed more light on the complex relationship between sleep and diabetes at an individual level. Intervention studies are warranted to examine the potential of sleep interventions in improving outcomes for people with diabetes.

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Section: Sleep In Significant Others Of People With Diabetesmentioning

confidence: 81%

Sweet dreams or bitter nightmare: a narrative review of 25 years of research on the role of sleep in diabetes and the contributions of behavioural science

Nefs

Bazelmans²,

Donga

et al. 2019

Diabet. Med.

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show abstract

“…Sleep efficiency was collected as part of the subjective PSQI (Orta et al, 2016) or using sleep diaries (Matthews et al, 2014) and/or based on objective measures (i.e., actigraphy and polysomnography; Macaulay et al, 2019; Meltzer, 2008; Orta et al, 2016). Sleep efficiency in caregivers ranged between 79% and 93% (Daniel et al, 2018; Feeley et al, 2019; Macaulay et al, 2019; Matthews et al, 2014). Sleep efficiency calculated based on subjective reports (i.e., PSQI or sleep diaries) ranged from 79.2% to 91.7%.…”

Section: Resultsmentioning

confidence: 99%

“…Objectively reported sleep duration was included in 10 studies, and caregiver sleep duration ranged from 5.8 to 7.6 hr/night. Of the studies that reported objective measures of sleep, four reported sleep durations of >7 hr, representing 36% of studies (Feeley et al, 2019; Gedaly-Duff et al, 2006; Macaulay et al, 2019; Matthews et al, 2014). Two studies reported that noncaregiver parents self-reported obtaining fewer hours of sleep than caregiver parents (Matthews et al, 2014; Nozoe et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

“…These sleep disturbances are evident in suboptimal sleep duration (below recommended healthy duration; Cottrell & Khan, 2005;Feeley et al, 2014), longer sleep latency (Orta et al, 2016), and PSQI global sleep quality scores indicative of clinical sleep disturbance (Adiga et al, 2014;Albayrak et al, 2019). Poor sleep was consistent across caregiving contexts with diverse health care needs of the care recipient (Cottrell & Khan, 2005;Daniel et al, 2018;Feeley et al, 2014Feeley et al, , 2019. Furthermore, sleep quality and duration were poorer in caregiver groups compared with population norms (see Figure 5).…”

Section: Discussionmentioning

confidence: 99%

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Sleep disturbances in caregivers of children with medical needs: A systematic review and meta-analysis.

et al. 2021

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Objective: The sleep of individuals who provide unpaid care for children with medical needs is likely to be significantly impacted by this role. Sleep may be affected by the practical tasks undertaken during the night (e.g., administering medication), in addition to the emotional impact (e.g., worry, rumination). The aim of this systematic review was to examine the available literature on the impact of caregiving for children with medical needs on caregivers’ sleep. Method: Electronic databases, including PubMed, Medline, and Web of Science, were searched using predetermined criteria. Studies were included if they used validated subjective or objective measures of caregiver sleep, in contexts where caregivers were providing care for one or more children with medical needs. Data on study population, research design, and outcome measures were extracted, and study quality was reviewed by two authors. Results: Search criteria produced 2,172 studies for screening. Based on inclusion criteria, 40 studies were included in the final review. Sleep of caregivers of children with medical needs was poorer than that for noncaregivers. Poor sleep included reduced sleep duration, impaired sleep efficiency, increased wake after sleep onset, and perceived poorer sleep quality. Conclusions: Providing unpaid care for children with medical needs is associated with sleep disturbances, including less total sleep, and poorer sleep quality.

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“…For example, both average sleep duration and sleep variability have been shown to be associated with diabetes care behaviors (eg, less average sleep duration related to decreased SMBG or more sleep variability related to decreased SMBG) [189,190]. Furthermore, actigraphy-derived data have shown a relationship between HbA 1c and altered sleep (eg, more total sleep time related to lower HbA 1c ) [51,189], found a relationship between sleep in children and sleep in their parents [191], and showed that youth with T1D who have obesity may have different sleep patterns compared with patients with T1D without obesity [192].…”

Section: Using Actigraphy To Identify Relationships Between Daily Factors and T1d Symptoms And Behaviorsmentioning

confidence: 99%

Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies

Ray¹,

McMichael²,

Rivera-Santana³

et al. 2021

JMIR Diabetes

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Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.

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Sleep in Parental Caregivers and Children With Type 1 Diabetes

Cited by 17 publications

References 61 publications

Sweet dreams or bitter nightmare: a narrative review of 25 years of research on the role of sleep in diabetes and the contributions of behavioural science

Sweet dreams or bitter nightmare: a narrative review of 25 years of research on the role of sleep in diabetes and the contributions of behavioural science

Sleep disturbances in caregivers of children with medical needs: A systematic review and meta-analysis.

Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies

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