Treatment Modalities for Insomnia in Adults Aged 55 and Older: A Systematic Review of Literature from 2018 to 2023.

Purpose of Review: Insomnia is the most common sleep disorder experienced by older adults. There is a wide range of pharmacological and non-pharmacological treatment options in existing literature. The purpose of this systematic review was to synthesize randomized controlled trials of insomnia treatment modalities for adults aged 55 and older over the last 5 years. We searched four databases, and after screening, there were 34 full-text manuscripts that met the inclusion/exclusion criteria. Recent Findings: We found non-pharmacological interventions, including exercise and behavioral/psychoeducational therapies, remain effective and favorable. Complementary and alternative therapies ranged across studies and warrant further testing in larger, more diverse samples. Dual orexin receptor antagonist medications were tested in a few studies with positive benefits for sleep and minimal side effects. Finally, measures of insomnia/sleep disturbance outcomes varied among the studies, with the Pittsburgh Sleep Quality Index being used most frequently. Summary: Non-pharmacological interventions for insomnia in older adults are effective, and some newer medications may be safer, with less side effects, at managing insomnia in this population.

Association Between Documented Severe Pain and Cognitive Impairment in Home Health Care Patients: Results from the National Outcome and Assessment Information Set Data.

Background: Despite the growing importance of home health care (HHC) in the care of older adults with cognitive impairment, limited evidence exists about factors associated with documented severe pain among older adults receiving HHC. Methods: This secondary data analysis used a 5% random national sample of the 2017 national Outcome and Assessment Information Set (OASIS) data. Multivariable Poisson regression model was used to examine the association between documented severe pain, cognitive impairment, and a range of sociodemographic, clinical, and cognitive factors. Results: HHC patients (n = 183,038) were mean age 79.7 years, 61.7% female, and 78.6% non-Hispanic White. In multivariable models, cognitive impairment was associated with lower likelihood of documented severe pain (prevalence ratio [PR] = 0.96, confidence interval [CI] = [0.94-0.98]). Other factors independently associated with less documented severe pain included Hispanic ethnicity (PR = 0.92, CI = [0.89-0.95]), the oldest (≥85 years) groups (PR = 0.65, CI = [0.63-0.66]), male patients (PR = 0.83, CI = [0.82-0.85]), those with a formal diagnosis of Alzheimer's Disease Related Dementias (PR = 0.67, CI = [0.65-0.69]), and patients with verbal- and speech-related difficulty (PR = 0.83, CI = [0.80-0.86]). Patients with history of falls (PR = 1.18, CI = [1.16-1.20]), positive screen on the Patient Health Questionnaire-2 (PR = 1.36, CI = [1.31-1.41]), shortness of breath (PR = 1.14, CI = [1.12-1.14]), anxiety daily (PR = 1.16, CI = [1.14-1.18]), and anxiety daily or more often (PR = 1.40, CI = [1.37-1.43]) were more likely to have documented severe pain. Conclusions: HHC patients with cognitive impairment were less likely to have documented severe pain even with a range of sociodemographic, clinical, functional, and cognitive characteristics were considered. These findings may reflect a link between cognitive impairment missed opportunities for clinicians to provide pain management. Tailored interventions are needed to better assess and manage pain in this vulnerable group of HHC patients.

Sleep Disturbance and Strain Among Caregivers of Persons Living With Dementia.

OBJECTIVE: The study objective was to examine predictors of sleep disturbance and strain among caregivers of persons living with dementia (PLWD). METHODS: This cross-sectional study utilized a sample of community-dwelling older adults and their family caregivers drawn from the 2017 National Health and Aging Trends Study and National Study of Caregiving. Multivariable logistic regression was used to assess the association between caregiver and PLWD characteristics and a composite measure of caregiving strain. High caregiving strain was defined as a total score of ≥ 5 on the 6 caregiving strain items (e.g., emotional difficulty, no time for self). We used multivariable proportional odds models to examine predictors of caregiver sleep-related outcomes (trouble falling back to sleep and interrupted sleep), after adjusting for other caregiver and PLWD factors. RESULTS: Of the 1,142 family caregivers, 65.2% were female, 15% were Black, and 14% were Hispanic. Average age was 60 years old. Female caregivers were more likely to report high level of strain compared to male caregivers (OR: 2.61, 95% CI = 1.56, 4.39). Compared to non-Hispanic Whites, non-Hispanic Black and Hispanic caregivers had reduced odds of reporting greater trouble falling back asleep [OR = 0.55, CI (0.36, 0.82) and OR = 0.56, CI (0.34, 0.91), respectively]. The odds of reporting greater trouble falling back asleep was significantly greater among caregivers with high blood pressure vs. caregivers without high blood pressure [OR = 1.62, CI (1.12, 2.33)]. CONCLUSION: In this cross-sectional study, caregivers with greater sleep difficulty (trouble falling back asleep) were more likely to report having high blood pressure. We found no racial/ethnic differences in interrupted sleep among caregivers to PLWD. These results suggest that interventions to improve sleep among caregivers to PLWD may decrease poor cardiovascular outcomes in this group.

Age-associated differences in sleep duration in the US population: potential effects of disease burden.

OBJECTIVES: We contrasted the relative risks (RR) of short [<7 h] and long [>8 h] sleep experienced by middle-aged (45-64 years) and older (≥65 years) adults, compared with young adults (20-44 years). METHODS: We utilized NHANES data (2005-2016), capturing sociodemographic, socioeconomic, and health-related data among US adults. RESULTS: The Relative Risk (RR) of short sleep between young and middle-aged adults did not differ [RR = 1.02, NS]. However, the RR of short sleep was significantly reduced among older participants [RR = 0.81, p < 0.01]. Middle-aged adults had significantly lower RR of long sleep [RR = 0.80, p < 0.01], whereas older adults had significantly greater RR of long sleep [RR = 1.41, p < 0.01]. Compared with young adults, older adults with or without increased disease burden had significantly lower RR of short sleep [RR = 0.81, p < 0.01 and RR = 0.80, p < 0.01], respectively. However, for middle-aged adults, the RR of short sleep did not differ whether they reported a greater disease burden. Relative to young adults, older adults with or without disease burden had higher RRs of long sleep [RR = 1.39, p < 0.01] and [RR = 1.45, p < 0.01], respectively. For middle-aged adults without disease burden, the RR of long sleep was lower than among young adults [RR = 0.72, p < 0.01]. CONCLUSIONS: Compared with young adults, older adults were not at increased risk for short sleep. Rather, they reported longer sleep time regardless of the presence of disease burden. Future studies should investigate longitudinal effects of aging on objective sleep time, with or without common diseases.

Obesity and Race May Explain Differential Burden of White Matter Hyperintensity Load.

OBJECTIVE: Compared to European Americans, research indicates that African Americans have higher white matter hyperintensity (WMH) load; however, the clinical and biological bases underlying this higher burden are poorly understood. We hypothesize that obesity may explain differences in WMH between African and European Americans. METHODS: Participants enrolled in longitudinal brain aging studies (n=292; 61% Female; 92% European American; mean age=69.6±7.7) completed evaluations including medical exams, neuroimaging, and sociodemographic surveys. Overweight/obese status defined as body mass index ≥30 kg/m2, and WMH load, captured by FLAIR images, as sum of deep and periventricular volumes, scored using the Fazekas scale (0-6), WMH≥4 considered high. RESULTS: Logistic regression analyses, adjusted for age, sex, hypertension, and smoking history, indicated that age and interaction between race and obesity were significant predictors of WMH, demonstrating that obesity significantly moderated the relationship between race and WMH. Age independently increased the odds of high WMH by 16% (OR=1.16, 95% CI=1.09-1.23, p<0.001). Stratified analysis indicates that older European Americans had increased WMH (OR=1.17, 95% CI=1.09-1.23, p<0.001), while obese African Americans had increased WMH (OR=27.65, 95% CI=1.47-519.13, p<0.05). In a case controlled subgroup matched by age, sex, and education (n=48), African Americans had significantly higher WMH load (27% vs 4%, Χ 2=5.3, p=0.02). CONCLUSION: Results denote that age predicted WMH among European Americans, while obesity predicted WMH among African Americans. Matched sample analyses indicate that obesity increases the odds of WMH, though more pronounced in African Americans. These findings suggest that obesity may explain the differential burden of white matter hyperintensity load, signifying public health and clinical importance.

Resilience factors, race/ethnicity and sleep disturbance among diverse older females with hypertension.

BACKGROUND: This study examined the relationships between resilience and sleep disturbance in a diverse sample of older women with a history of hypertension and whether this relationship is moderated by individuals' race/ethnicity. METHODS: Sample includes 700 females from a community-based study in Brooklyn, New York with a mean age of 60.7 years (SD=6.52). Of the participants, 28.1% were born in the U.S.; 71% were African-descent, 17.4% were European and 11.6% were Hispanics descents. Data were gathered on demographics and sleep disturbance using the Comprehensive Assessment and Referral Evaluation (CARE) and the Stress Index Scale (SIS). Resilience Factors were assessed with both the Index of Self-Regulation of Emotion (ISE) and religious health beliefs. Chi-Square, Anova, Student t-tests, and multilinear regression analysis were conducted to explore associations between resilience factors and sleep disturbance. Associations between resilience factors and sleep disturbance were examined using stratified multilinear regression analysis in three models by race/ethnicity. Regression models was conducted examining the interaction between resilience factors and stress RESULTS: Resilience factor, ISE emerged as the strongest independent predictor of sleep disturbance [B(SE) = -0.368(0.008); p < .001] for African descents. ISE was not a significant predictor of sleep disturbance among Hispanic participants [B(SE) = -0.218(0.022);p = .052], however interaction effect analysis revealed that stress level moderates significantly the relationship between ISE, and their sleep disturbance [B(SE) = 0.243(0.001);p = .036]. CONCLUSIONS: Results of our study suggest that resilience factors might be a more important protective factor for sleep disturbance among diverse older females.