"It's Been a Hard Day's Night": Sleep Problems in Caregivers for Older Adults

An integrated model of psychosocial correlates of insomnia severity in family caregivers of people with dementia

OBJECTIVES

Research has shown the relevance of stress and coping factors in explaining caregivers' insomnia symptoms. However, few attempts have been made to empirically test an integrative model for insomnia severity in family caregivers of people with dementia. The aim of this study was to test such a model, in which insomnia severity is proposed to be influenced by predisposing factors, precipitated by stressors, and perpetuated by behaviors to cope with these stressors.

METHODS

311 family caregivers of people with dementia were assessed for variables categorized as predisposing (e.g. female gender), precipitating (e.g. care-recipient's behavioral and psychological symptoms of dementia [BPSD]), and perpetuating factors (e.g. sleep aids). A theoretical model was developed and then statistically tested using structural equation modelling, analyzing the direct and indirect effects of the assessed variables on caregivers' insomnia severity.

RESULTS

Distress, sleep aids, and experiential avoidance showed a direct association with insomnia severity. Female gender, younger age, cognitive fusion, leisure activities, dysfunctional thoughts, frequency and distress caused by care-recipient's BPSD showed indirect associations with insomnia severity. The model explained 22% of the variance of caregivers' insomnia severity.

CONCLUSION

The results provide additional empirical support for the importance of predisposing, precipitating and perpetuating factors associated with caregivers' insomnia severity. The integrative model we propose may also be useful for developing interventions targeting insomnia symptoms in family dementia caregivers.

Sleep and mental health among unpaid caregivers of children, adults, and both: United States, 2022

OBJECTIVES

We sought to characterize sleep and mental health, and their relationship, among unpaid caregivers.

METHODS

During March through August 2022, four waves of cross-sectional surveys were administered to US adults using demographic quota sampling and weighting to improve representativeness of the US adult population.

RESULTS

Among 19,767 respondents, 6260 (31.7%) identified as serving one or more unpaid caregiving roles. Compared to people without caregiving roles, caregivers more commonly reported sleep duration outside the healthy range (7-9 hours), insomnia symptoms, diagnosed sleep disorders, and more commonly screened positive for anxiety, depression, and burnout symptoms. Multivariable analyses adjusted for demographics characteristics revealed unpaid caregivers had several-fold elevated odds of adverse mental health symptoms; associations were attenuated but remained significant after adjusting for impaired and nonoptimal sleep.

CONCLUSIONS

Both sleep and mental health challenges are disproportionately experienced by and commonly co-occur among unpaid caregivers, especially those who care for both children and adults. These populations, which serve critical societal roles, may benefit from enhanced support services to address sleep and mental health.

Efficacy of yoga for caregivers of persons with dementia: An integrative review

BACKGROUND

The progressive nature of dementia leaves the person vulnerable and dependent on others for care. While persons with dementia often have better outcomes when cared for at home, it can lead to personal challenges and self-neglect of the caregiver. Mindfulness-based interventions such as yoga can lessen the potential negative effects encountered by caregivers of persons with dementia.

AIM

The aim of this review was to synthesise available empirical research related to the role of yoga on the biopsychosocial health outcomes for caregivers of persons with dementia population.

METHOD

A systematic search of the databases Academic Search Complete, CINAHL Plus, Medline and PsychINFO was done using the terms "yoga" AND "caregivers or family members or informal caregivers" AND "dementia or Alzheimer's." Using the selection process outlined by the PRISMA framework, thirty-six studies met the initial criteria and were potentially relevant to the topic. A methodological check was performed using the critical appraisal tool of Melnyk and Fineout-Overholt and the GRADE system of recommendation. This process led to the inclusion of four articles.

FINDINGS

Four studies were included for this review: two randomised controlled trials, a non-randomised intervention study with a waitlist and a pilot cohort study. Three studies focused on informal caregivers and one study involved professional caregivers. In all studies, yoga practices included asanas, pranayama, relaxation and meditation. This integrative review recommended that yoga may be useful in reducing stress, depression and anxiety while increasing quality of life indicators, vitality indicators, self-compassion scores, mindfulness attention, sleep quality and diastolic blood pressure. Outcomes that were not significantly changed were caregiver burden, systolic blood pressure and heart rate. However, the level of evidence was moderate with small sample sizes suggesting additional research is needed to include well-designed randomised controlled trials with larger sample sizes.

Insomnia Symptoms Among Hospice Family Caregivers: Prevalence and Association with Caregiver Mental and Physical Health, Quality of Life, and Caregiver Burden

BACKGROUND

Poor sleep exacerbates mental health problems and reduces quality-of-life (QOL) but prevalence of insomnia symptoms among hospice family caregivers and associations of poor sleep with caregiver health and QOL outcomes are not known.

OBJECTIVE

To describe prevalence of insomnia symptoms among hospice family caregivers and compare anxiety, depression, self-rated health, QOL, and caregiver burden between hospice family caregivers with and without insomnia symptoms.

METHODS

Descriptive sub-study using data collected during baseline interviews of hospice family caregivers involved in a randomized clinical trial in Midwestern United States (xxxxxxxx). Caregivers were dichotomized based on Insomnia Severity Index (ISI) scores (8+ indicated insomnia symptoms).

RESULTS

Among 57 hospice family caregivers, the mean ISI score was 8.2; nearly half (49.1%) experienced insomnia symptoms. Compared to caregivers without insomnia symptoms, caregivers with insomnia symptoms reported 2.4 times greater mean anxiety scores (4.7 vs 11.4); 3.5 times greater mean depression scores (3.1 vs 10.7); 2.1 times greater caregiver burden scores (5.6 vs 11.8); and 1.3 times lower self-rated health (3.5 vs 2.8); 1.3 times lower total QOL scores (29.3 vs 22.6); including differences in emotional QOL (7.9 vs 2.2), social QOL (7.2 vs 3.0), and physical QOL (7.4 vs 5.3).

CONCLUSIONS

Hospice family caregivers experience high prevalence of insomnia symptoms; caregivers with insomnia symptoms report worse anxiety, depression, caregiver burden, QOL, self-rated health. Clinicians must screen hospice caregivers for poor sleep and mental health and offer supportive interventions that improve their sleep and health. Policy makers must expand hospice benefits to better support family caregivers.

"It was terrible, I didn't sleep for two years": A mixed methods exploration of sleep and its effects among family caregivers of in-home hospice patients at end-of-life

BACKGROUND

Due to overnight caregiving demands; exacerbation of high rates of anxiety, depression, and distress; and inadequate support, millions of family caregivers of patients receiving in-home hospice are at risk of poor sleep and negative health effects.

AIM

To describe sleep experiences of family caregivers of in-home hospice patients and perceptions of these experiences on caregivers' wellbeing in the context of caregiver health and live-in status.

DESIGN

Developed using the Symptom Management Model, this mixed methods study featured a concurrent nested design prioritizing qualitative reflexive thematic analysis.

SETTING/PARTICIPANTS

About 47 family caregivers of in-home hospice patients from two randomized clinical trials (NCT03712410, NCT02929108) were interviewed (United States, 2021). Anxiety (GAD-7), depression (PHQ-9), quality-of-life (QOL) (CQLI-R), and self-rated health and energy were reported prior to interviews.

RESULTS

Qualitative analysis revealed three themes: compromised sleep quality, factors influencing sleep, effects of sleep. 72.5% of hospice family caregivers described "fair" or "poor" sleep quality, with "interrupted" sleep and frequent night-waking due to "on-call" "vigilance" and anxiety. Negative effects included exhaustion, mental and physical health decline, and reduced caregiver function. Live-in caregivers reported higher mean depression scores (8.4 vs 4.3, p = 0.08), higher mean anxiety scores (7.7 vs 3.3, p = 0.06), and lower mean QOL scores (24.8 vs 33.6, p < 0.001) than live-out caregivers. Anxiety, depression, and QOL worsened as self-reported caregiver sleep quality decreased. Few caregivers had adequate support.

CONCLUSION

End-of-life family caregivers experience disrupted sleep with negative effects and inadequate support. Clinicians must assess sleep, offer sleep interventions, and provide more supports to hospice family caregivers.

Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea

Background

Obstructive sleep apnea is a common clinical condition and has a significant impact on the health of patients if untreated. The current diagnostic gold standard for obstructive sleep apnea is polysomnography, which is labor intensive, requires specialists to utilize, expensive, and has accessibility challenges. There are also challenges with awareness and identification of obstructive sleep apnea in the primary care setting. Artificial intelligence systems offer the opportunity for a new diagnostic approach that addresses the limitations of polysomnography and ultimately benefits patients by streamlining the diagnostic expedition.

Main body

The purpose of this project is to elucidate the barriers that exist in the implementation of artificial intelligence systems into the diagnostic context of obstructive sleep apnea. It is essential to understand these challenges in order to proactively create solutions and establish an efficient adoption of this new technology. The literature regarding the evolution of the diagnosis of obstructive sleep apnea, the role of artificial intelligence in the diagnosis, and the barriers in artificial intelligence implementation was reviewed and analyzed.

Conclusion

The barriers identified were categorized into different themes including technology, data, regulation, human resources, education, and culture. Many of these challenges are ubiquitous across artificial intelligence implementation in any medical diagnostic setting. Future research directions include developing solutions to the barriers presented in this project.

Graphical abstract

Psychometric properties of the Insomnia Severity Index in a sample of family dementia caregivers

STUDY OBJECTIVES

Family caregivers of people with dementia frequently report sleep problems that are linked to depressive and anxious symptoms. However, data are needed regarding the psychometric properties of specific measures of sleep problems in caregiving populations. The aim of this study is to analyse the psychometric properties of the Insomnia Severity Index (ISI; Morin, 1993) in a Spanish dementia caregiver sample.

METHODS

271 participants took part in face-to face interviews where, along with sociodemographic variables, caregivers' sleep problems, depressive and anxious symptoms were measured. The psychometric properties of the ISI were analysed through Confirmatory Factor Analysis (CFA) and analysis of the internal consistency and convergent and criterion validity.

RESULTS

The Spanish version of the Insomnia Severity Index showed adequate indices of internal consistency (Cronbach's alpha = 0.78) in our sample of family caregivers of people with dementia. A one-factor structure provided a better fit to the data than two- and three-factor structures. The ISI was significantly associated with lower sleep quality, less average sleep time per day and lower self-perception of vitality, as well as with higher depressive and anxious symptoms. Differences in ISI scores were found between people with and without depressive and anxious symptoms. Statistically significant gender-based differences in sleep problems were also found, with female caregivers showing higher sleep problems.

CONCLUSIONS

The ISI is a reliable and valid instrument to assess the subjective severity of sleep problems in the family dementia caregiver population and may be a useful instrument in intervention and research settings. Additional evidence was also provided of the importance of considering sleep problems in the studied population.