The Role of Subjective Age in Predicting Post-Hospitalization Outcomes of Older Adults.

INTRODUCTION: Studies of community-dwelling older adults find subjective age affects health and functional outcomes. This study explored whether younger subjective age serves as a protective factor against hospital-associated physical, cognitive, and emotional decline, well-known consequences of hospitalization among the elderly. METHODS: This study is a secondary data analysis of a subsample (N = 262; age: 77.5 ± 6.6 years) from the Hospitalization Process Effects on Mobility Outcomes and Recovery (HoPE-MOR) study. Psychological and physical subjective age, measured as participants' reports on the degree to which they felt older or younger than their chronological age, was assessed at the time of hospital admission. Independence in activities of daily living, life-space mobility, cognitive function, and depressive symptoms were assessed at hospital admission and 1 month post-discharge. RESULTS: The odds of decline in cognitive status, functional status, and community mobility and the exacerbation of depressive symptoms were significantly lower in those reporting younger vs. older psychological subjective age (odds ratio [OR] = 0.68, 95% CI = 0.46-0.98; OR = 0.59, 95% CI = 0.36-0.98; OR = 0.64, 95% CI = 0.44-0.93; OR = 0.64, 95% CI = 0.43-0.96, respectively). Findings were significant after controlling for demographic, functional, cognitive, emotional, chronic, and acute health predictors. Physical subjective age was not significantly related to post-hospitalization outcomes. CONCLUSION: Psychological subjective age can identify older adults at risk for poor hospitalization outcomes and should be considered for preventive interventions.

Assessment of Sleep Duration and Number of Awakenings Based on Ankle and Wrist Actigraphy in Medical Hospitalized Older Patients.

BACKGROUND: Most studies performed in the hospital assess sleep using self-reports; few rely on actigraphy. Although wrist actigraphy is commonly used for sleep assessment in field studies, in-hospital assessment may be challenging and cumbersome because other more necessary monitoring devices are often attached to patients' upper limbs; these may affect interpretation of wrist activity data. Placement on the ankle may be a viable solution. OBJECTIVE: To compare total sleep time (TST) and number of awakenings (NOA) using concomitant wrist and ankle actigraphy, as well as self-reports in a sample of older adult patients hospitalized in medical units. METHODS: This was a prospective observational study. Objective sleep data were collected using ankle and wrist actigraphy, and subjective data using sleep diary. Repeated measures mixed model analysis was performed, adjusting for age, gender, sleep medications, symptoms severity, interaction between types of measure, and night number. RESULTS: Twenty-one older adults (65+) wore ankle and wrist actigraphy devices and subjectively estimated sleep parameters for an average of (2.15 ± 1.01) nights, with 40 nights available for analysis. TST was lower for wrist than ankle actigraphy (F(2,87) = 7.92, p = .0007). Neither differed from self-reports. NOA differed between all types of measure (ankle, 8.58 ± 6.66; wrist, 15.49 ± 7.47; self-report, 1.81 ± 1.83; F(2,85) = 47.66, p < .001). No significant within-subject variations and no interaction between devices and repeated measures were found. CONCLUSIONS: Despite differences between ankle and wrist assessments, all three methods provided consistent TST estimation within participants. Findings provide preliminary support for the use of ankle actigraphy for sleep assessment in hospital settings.

Relationship Between Changes in Sedative-Hypnotic Medications Burden and Cognitive Outcomes in Hospitalized Older Adults.

BACKGROUND: Sedative-hypnotic medications (SHMs) are frequently used in hospitalized older patients, despite undesirable effects on cognitive status. Although previous studies found a significant number of patients experience changes in SHM use during hospitalization, it is unclear which pattern of change leads to hospital-associated cognitive decline (HACD). This study tested the association between patterns of SHM change and HACD. METHODS: This secondary analysis study included 550 patients age 70+ who were cognitively intact at admission (Short Portable Mental Status Questionnaire [SPMSQ] ≥8). HACD was defined as at least 1-point decline in SPMSQ between admission and discharge. Changes in sedative burden (SB) before and during hospitalization (average SB of all hospitalization days) were coded using the Drug Burden Index sorting study participants into four groups: without SB (n = 254), without SB changes (n = 132), increased SB (n = 82), and decreased SB (n = 82). RESULTS: Incidence of HACD was 233/550 (42.4%). In multivariate logistic analysis controlling for demographic characteristics, length of stay, severity of acute illness, comorbidity, SB score at home, pain on admission and depression, the odds of HACD were 2.45 (95% CI: 1.16 to 5.13) among participants with increased SB, 2.10 (95% CI: 1.13 to 3.91) among participants without SB changes, compared with participants with decreased SB. CONCLUSION: Older patients whose SB is increased or does not change are at higher risk for acquired cognitive decline than are those whose SB is reduced. Identifying patients with a potential increase in SB and intervening to reduce it may help to fight HACD.