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Determinants of Sleep Medication Use among Participants in the National Alzheimer's Coordinating Center Uniform Data Set.

ABSTRACT: Sufficient sleep is critical for health in older adults, but prescription sleep aids are associated with numerous health risks (e.g., cognitive impairment and falls). We examine usage prevalence of two medication categories-sedative hypnotics (SH) and medications commonly used for insomnia (MCUFI)-among adults aged 45+ in the National Alzheimer's Coordinating Center data set. Analyzing the visits conducted between September 2005 and June 2018, we determine the factors associated with SH and MCUFI use, including sociodemographic, health, independence, and cognitive statuses. Usage rates were 9% for MCUFI (N = 3,279) and 4% for SH (N = 1,382). Multivariable logistic regression identified White race, higher education, younger age, depression, and sedative polypharmacy as factors associated with prescription sleep aid use. We conclude that sleep medication usage rates among older adults, higher likelihood of sedative medication polypharmacy, and higher likelihood of MCUFI use among adults with cognitive impairment are findings of concern and may warrant clinical intervention.

SUBMITTER: Moloney M

PROVIDER: S-EPMC7237298 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Determinants of Sleep Medication Use among Participants in the National Alzheimer's Coordinating Center Uniform Data Set.

Moloney Mairead M Oh GYeon G Moga Daniela C DC

Journal of applied gerontology : the official journal of the Southern Gerontological Society 20191120 12

Sufficient sleep is critical for health in older adults, but prescription sleep aids are associated with numerous health risks (e.g., cognitive impairment and falls). We examine usage prevalence of two medication categories-sedative hypnotics (SH) and medications commonly used for insomnia (MCUFI)-among adults aged 45+ in the National Alzheimer's Coordinating Center data set. Analyzing the visits conducted between September 2005 and June 2018, we determine the factors associated with SH and MCUF ...[more]

PMID: 31747852

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Project description:BACKGROUND:Longitudinal investigations are needed to improve understanding of the contributions of cerebral small vessel disease to the clinical manifestation of Alzheimer's disease, particularly in the early disease stages. This study leveraged the National Alzheimer's Coordinating Center Uniform Data Set to longitudinally examine the association between white matter hyperintensities and neuropsychological, neuropsychiatric, and functional decline among participants with normal cognition. METHODS:The sample included 465 participants from the National Alzheimer's Coordinating Center Uniform Data Set who had quantitated volume of white matter hyperintensities from fluid-attenuated inversion recovery MRI, had normal cognition at the time of their MRI, and were administered the National Alzheimer's Coordinating Center Uniform Data Set neuropsychological test battery within 1?year of study evaluation and had at least two post-MRI time points of clinical data. Neuropsychiatric status was assessed by the Geriatric Depression Scale-15 and Neuropsychiatric Inventory-Questionnaire. Clinical Dementia Rating Sum of Boxes defined functional status. For participants subsequently diagnosed with mild cognitive impairment (MCI) or dementia, their impairment must have been attributed to Alzheimer's disease (AD) to evaluate the relationships between WMH and the clinical presentation of AD. RESULTS:Of the 465 participants, 56 converted to MCI or AD dementia (average follow-up?=?5?years). Among the 465 participants, generalized estimating equations controlling for age, sex, race, education, APOE ?4, and total brain and hippocampal volume showed that higher baseline log-white matter hyperintensities predicted accelerated decline on the following neuropsychological tests in rank order of effect size: Trails B (p?<?0.01), Digit Symbol Coding (p?<?0.01), Logical Memory Immediate Recall (p?=?0.02), Trail Making A (p?<?0.01), and Semantic Fluency (p?<?0.01). White matter hyperintensities predicted increases in Clinical Dementia Rating Sum of Boxes (p?<?0.01) and Geriatric Depression Scale-15 scores (p?=?0.01). Effect sizes were comparable to total brain and hippocampal volume. White matter hyperintensities did not predict diagnostic conversion. All effects also remained after including individuals with non-AD suspected etiologies for those who converted to MCI or dementia. CONCLUSIONS:In this baseline cognitively normal sample, greater white matter hyperintensities were associated with accelerated cognitive, neuropsychiatric, and functional decline independent of traditional risk factors and MRI biomarkers for Alzheimer's disease.

Project description:BackgroundDiabetes is a risk factor for the development of cognitive impairment and possibly for accelerated progression to Alzheimer disease (AD) and other dementias, though the trajectory of cognitive decline in general and in specfic cognitive domains by diabetes is unclear.MethodsUsing the National Alzheimer's Coordinating Center's Uniform Data Det (NACC-UDS) to identify cohorts of elders with normal cognition (N = 7,663) and mild cognitive impairment (MCI, N = 4,114), we compared overall cognitive composite and domain specific sub-scores and their progression over time between diabetic and non-diabetic subjects.ResultsDiabetes was more common among those with MCI (14.7%) than among subjects who were cognitively normal (11.7%). In subjects who were cognitively normal, baseline cognitive composite scores, attention, and executive function sub-scores were lower in diabetics than non-diabetics (by 0.098, 0.066, and 0.015 points, respectively). Over time, cognitive composite score showed subtle worsening in non-diabetics (0.025 points every 6 months), with an additional worsening of 0.01 points every 6 months in diabetics compared to non-diabetics. In the MCI groups, baseline cognitive composite as well as attention and executive domain sub-scores were lower in diabetics than non-diabetics (by 0.078, 0.092, and 0.032 points, respectively). Over time, cognitive composite (by 0.103 points every 6 months) and all domain specific sub-scores showed subtle worsening in non-diabetics, but diabetics had significantly slower worsening than non-diabetics on both cognitive composite (by 0.028 points) and domain specific sub-scores.DiscussionAmong elders, diabetes may be associated with lower cognitive performance, primarily in non-memory domains. However it is not associated with continued worsening, suggesting a static deficit with minimal memory involvement. This data suggest that diabetes may contribute more to a vascular profile of cognitive impairment than a profile more typical of AD.

Project description:BackgroundNeuropsychiatric symptoms (NPSs) are common in Alzheimer's disease (AD). NPSs contribute to patients' distress, caregiver burden, and institutionalization. White matter hyperintensities (WMHs) appear on magnetic resonance imaging, usually indicative of cerebrovascular disease. WMHs have been associated with certain NPSs. We aimed to assess the relationship between WMH and NPS severity in mild cognitive impairment (MCI) due to AD (MCI-AD) and in AD and to assess the ability of WMHs to predict NPS progression. Data were obtained from the National Alzheimer's Coordinating Center.MethodsA total of 252 participants (114 with MCI-AD and 138 with AD) were used in this study. Baseline WMHs were quantified using an automated segmentation technique. NPSs were measured using the Neuropsychiatric Inventory. Mixed-effect models and correlations were used to determine the relationship between WMHs and NPSs.ResultsLongitudinal mixed-effect models revealed a significant relationship between increase in Neuropsychiatric Inventory total scores and baseline WMHs (p = .014). There was a significant relationship between baseline WMHs and an increase in delusions (p = .023), hallucinations (p = .040), agitation (p = .093), depression (p = .017), and irritability (p = .002). Correlation plot analysis showed that baseline whole-brain WMHs predicted change in future Neuropsychiatric Inventory total scores (r = .169, p = .008) and predicted change in future agitation severity scores (r = .165, p = .009). WMHs in the temporal lobes (r = .169, p = .008) and frontal lobes (r = .153, p = .016) contributed most to this change.ConclusionsDepression, irritability, and agitation are common NPSs and very distressful to patients and caregivers. Our findings of increased NPS severity over time in MCI-AD and AD with increased WMHs have important implications for treatment, arguing for aggressive treatment of vascular risk factors in patients with MCI-AD or AD.

Dataset Information

Determinants of Sleep Medication Use among Participants in the National Alzheimer's Coordinating Center Uniform Data Set.

Publications

Determinants of Sleep Medication Use among Participants in the National Alzheimer's Coordinating Center Uniform Data Set.

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