Dataset Information

Predicting current and future anxiety symptoms in cognitively intact older adults with memory complaints.

ABSTRACT: Objectives:Memory complaints are a common concern for older adults and may co-occur with anxiety symptoms. Although both memory complaints and anxiety are associated with heightened cognitive decline risk, little is known about how these symptoms develop over time. The purpose of this study was to examine the differential concurrent and longitudinal relationships among anxiety symptoms and two types of memory complaints in cognitively intact older adults.

Methods/design:The current study sample was drawn from two longitudinal, nationally representative datasets, the National Health and Aging Trends Study (NHATS) and the Health and Retirement Study (HRS). Cognitively intact older adults aged 65 and over were included, representing six (n = 5069; NHATS) and two (n = 5284; HRS) waves of data, respectively. Using multilevel linear modeling, we tested bidirectional relationships between anxiety and two types of memory complaints: current rating of memory performance and perceived memory decline.

Results:Concurrent associations between anxiety symptoms and memory complaints were found in both datasets: At times when current memory performance was rated more poorly or perceived memory decline was reported, anxiety symptoms tended to be higher, and vice versa. A longitudinal relationship was identified in NHATS such that perceived memory decline, and not current memory rating, predicted future anxiety symptoms.

Conclusion:This study provides a better understanding of the relationships between memory complaints and anxiety symptoms over time. Cognitively intact older adults with perceived memory decline are at greater risk for current as well as future anxiety symptoms.

SUBMITTER: Hill NL

PROVIDER: S-EPMC6854282 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predicting current and future anxiety symptoms in cognitively intact older adults with memory complaints.

Hill Nikki L NL Mogle Jacqueline J Bell Tyler Reed TR Bhargava Sakshi S Wion Rachel K RK Bhang Iris I

International journal of geriatric psychiatry 20190903 12

<h4>Objectives</h4>Memory complaints are a common concern for older adults and may co-occur with anxiety symptoms. Although both memory complaints and anxiety are associated with heightened cognitive decline risk, little is known about how these symptoms develop over time. The purpose of this study was to examine the differential concurrent and longitudinal relationships among anxiety symptoms and two types of memory complaints in cognitively intact older adults.<h4>Methods/design</h4>The curren ...[more]

PMID: 31468598

Similar Datasets

Project description:Observations in animal models suggest that amyloid can cause network hypersynchrony in the early preclinical phase of Alzheimer's disease (AD). The aim of this study was (a) to obtain evidence of paroxysmal hypersynchrony in cognitively intact subjects (CN) with increased brain amyloid load from task-free fMRI exams using a dynamic analysis approach, (b) to investigate if and how hypersynchrony interferes with memory performance, and (c) to describe its relationship with gray and white matter connectivity. Florbetapir-F18 PET and task-free 3T functional and structural MRI were acquired in 47 CN (age = 70.6 ± 6.6), 17 were amyloid pos (florbetapir SUVR >1.11). A parcellation scheme encompassing 382 regions of interest was used to extract regional gray matter volumes, FA-weighted fiber tracts and regional BOLD signals. Graph analysis was used to characterize the gray matter atrophy profile and the white matter connectivity of each subject. The fMRI data was processed using a combination of sliding windows, graph and hierarchical cluster analysis. Each activity cluster was characterized by identifying strength dispersion (difference between pos and neg strength) their maximal and minimal pos and neg strength rois and by investigating their distribution and association with memory performance and gray and white matter connectivity using spearman rank correlations (FDR p < 0.05). The cluster analysis identified eight different activity clusters. Cluster 8 was characterized by the largest strength dispersion indicating hypersynchrony. Its duration/subject was positively correlated with amyloid load (r = 0.42, p = 0.03) and negatively with memory performance (CVLT delayed recall r = -0.39 p = 0.04). The assessment of the regional strength distribution indicated a functional disconnection between mesial temporal structures and the rest of the brain. White matter connectivity was increased in left lateral and mesial temporal lobe and was positively correlated with strength dispersion in the cross-modality analysis suggesting that it enables widespread hypersynchrony. In contrast, precuneus, gray matter connectivity was decreased in the right fusiform gyrus and negatively correlated with high degrees of strength dispersion suggesting that progressing gray matter atrophy could prevent the generation of paroxysmal hypersynchrony in later stages of the disease.

Project description:BackgroundAnxiety and depressive symptoms are associated with fear of falling and fear of falling-related activity restrictions. However, it remains unknown whether anxiety or depressive symptoms alone could predict fear of falling and activity restrictions in older adults. We sought to determine if anxiety and depressive symptoms alone could be an independent predictor of fear of falling and activity restrictions in community-dwelling older adults.MethodsThis longitudinal analysis used waves 5 (time 1, [T1]) and 6 (time 2, [T2], 1 year from T1) data (N = 6376) from the National Health and Aging Trends Study. The Generalized Anxiety Disorder Scale 2 and Patient Health Questionnaire 2 were used to assess anxiety and depressive symptoms, respectively. Interview questions included demographics, health-related data, and fall worry levels (no fear of falling, fear of falling but no activity restrictions, and activity restrictions). Using multinomial logistic regression models, we examined whether anxiety and depressive symptoms (T1) predicted fear of falling and activity restrictions (T2).ResultsIn wave 5 (T1, mean age: 78 years, 58.1% female), 10 and 13% of participants reported anxiety and depressive symptoms. About 19% of participants experienced fear of falling but not activity restrictions, and 10% of participants developed activity restrictions in wave 6 (T2), respectively. Participants with anxiety symptoms at T1 had a 1.33 times higher risk of fear of falling (95% CI = 1.02-1.72) and 1.41 times higher risk of activity restrictions (95% CI = 1.04-1.90) at T2. However, having depressive symptoms did not show any significance after adjusting for anxiety symptoms.ConclusionsAnxiety symptoms seemed to be an independent risk factor for future fear of falling and activity restrictions, while depressive symptoms were not. To prevent future fear of falling and activity restrictions, we should pay special attention to older individuals with anxiety symptoms.

Dataset Information

Predicting current and future anxiety symptoms in cognitively intact older adults with memory complaints.

Publications

Predicting current and future anxiety symptoms in cognitively intact older adults with memory complaints.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets