Association of 1-year change in neuroticism and 3-year change in cognitive performance among older depressed adults

The Role of State Versus Trait Anxiety on Cognition in Older Adults With Major Depressive Disorder

OBJECTIVE

Anxiety superimposed on late life depression (LLD) results in greater changes to prefrontal and medial temporal brain regions compared to depression alone. Yet, the combined impact of anxiety and depression on cognition in LLD has not been thoroughly investigated. The current study investigated whether annual changes in state and trait anxiety were associated with cognitive changes in older adults with major depression. We hypothesized that the presence of anxiety among older depressed adults would be associated with worse cognitive performance in the domains of memory and executive functioning over time.

DESIGN

Three-year longitudinal observational study of older adults with LLD who were offered antidepressant treatment.

SETTING

Academic Health Center.

METHODS

Participants included 124 adults aged 60+ who met criteria for major depression at baseline. The association between anxiety and cognition was examined with separate multilevel linear models that addressed both between-subject and within-person effects of state and trait anxiety on cognitive functioning tests.

RESULTS

Individuals who experienced annual increases in anxiety above his/her personal average also experienced cognitive decline. Increases in state anxiety were associated with declines in memory and global cognition. By contrast, increases in trait anxiety were associated with declines in mental flexibility and memory. These findings remained significant even when controlling for changes in depression over time.

CONCLUSION

In LLD, individual increases in state and trait anxiety were associated with cognitive declines in different domains.

Loneliness and risk of all-cause, Alzheimer's, vascular, and frontotemporal dementia: a prospective study of 492,322 individuals over 15 years

OBJECTIVES

This study examined the association between loneliness and risk of incident all-cause dementia and whether the association extends to specific causes of dementia.

DESIGN

Longitudinal.

SETTING

Community.

PARTICIPANTS

Participants were from the UK Biobank (N = 492,322).

INTERVENTION

None.

MEASUREMENTS

Loneliness was measured with a standard item. The diagnosis of dementia was derived from health and death records, which included all-cause dementia and the specific diagnoses of Alzheimer's disease (AD), vascular dementia (VD), and frontotemporal dementia (FTD), over 15 years of follow-up.

RESULTS

Feeling lonely was associated with a nearly 60% increased risk of all-cause dementia (HR = 1.59, 95% CI = 1.51-1.65; n = 7,475 incident all-cause). In cause-specific analyses, loneliness was a stronger predictor of VD (HR = 1.82, 95% CI = 1.62-2.03; n = 1,691 incident VD) than AD (HR = 1.40, 95% CI = 1.28-1.53; n = 3135 incident AD) and was, surprisingly, a strong predictor of FTD (HR = 1.64, 95% CI = 1.22-2.20; n = 252 incident FTD). The associations were robust to sensitivity analyses and were attenuated but remained significant accounting for clinical (e.g. diabetes) and behavioral (e.g. physical activity) risk factors, depression, social isolation, and genetic risk. The association between loneliness and all-cause and AD risk was moderated by APOE ϵ4 risk status such that the increased risk was apparent in both groups but stronger among non-carriers than carriers of the risk allele.

CONCLUSION

Loneliness is associated with increased risk of multiple types of dementia.

Effects of Longitudinal Changes in Neuroticism and Stress on Cognitive Decline

OBJECTIVE

The relationships among depression, personality factors, stress, and cognitive decline in the elderly are complex. Depressed elders score higher in neuroticism than nondepressed older individuals. Independently, the presence of neuroticism and the number of stressful life events are each associated with worsening cognitive decline in depressed older adults. Yet little is known about combined effects of changes in neuroticism and changes in stress on cognitive decline among older depressed adults.

DESIGN

Longitudinal observational study.

SETTING

Academic Health Center.

PARTICIPANTS

The authors examined 62 participants in the Neurobiology of Late-life depression (NBOLD) study to test the hypothesis that, compared with older depressed subjects who experience improved neuroticism and lower psychosocial stressors over time, those with worsening neuroticism and greater psychosocial stressors will demonstrate more cognitive decline.

MEASUREMENTS

The authors measured neuroticism using the NEO-Personality Inventory-Revised at baseline and 1 year. Study psychiatrists measured depression using the Montgomery-Ǻsberg Depression Rating Scale. At annual assessments, subjects reported the number of psychosocial stressors in the prior year and completed a neuropsychological evaluation. Participants completed a detailed neuropsychological battery at baseline and annually over 3 years. The battery included a test of delayed story memory (Logical Memory-2 or LMII). The outcome 3-year change in cognitive scores was regressed against 3-year change scores of neuroticism and number of psychosocial stressors, plus their interaction, while adjusting for sex, age, race, education, baseline cognitive score, and 3-year change in MADRS score as covariates.

RESULTS

In multivariable linear regression analysis with the above covariates, the interaction effect of 3-year change in Total Neuroticism score and 3-year change in Total Stressors on change in LMII performance was statistically significant (B = -0.080[95%CL: -0.145 to -0.015], T = -2.48, df = 52, p = 0.017). Further exploration of this finding showed that 1) when total stressors increased by 2 or more over 3 years, LMII change was inversely associated with neuroticism change; and 2) when neuroticism improved less, LMII change score was inversely associated with total stressor change. There were no other significant interactions between stress and neuroticism on cognition.

CONCLUSION

Our findings document the importance of tracking change in neuroticism and monitoring psychosocial stress over the long-term course of treatment in geriatric depression. Both factors exert important combined effects on memory over time. Future studies in larger samples are needed to confirm our results and to extend them to examine both cognitive change and development of dementia.

Latent profile analysis of cognitive function and depressive symptoms in Chinese elderly: results from the China Health and Retirement Longitudinal Study

BACKGROUND

Geriatric cognitive impairment often occurs in conjunction with depressive symptoms. This study focuses on categorising the Chinese elderly with such co-occurring symptoms into homogeneous groups using latent profile analysis (LPA), a person-centred statistical approach.

METHODS

Information on cognitive function and depressive states of the elderly was extracted from the China Health and Retirement Longitudinal Study. The underlying characteristics were identified by LPA, and based on those findings, differences in demographic characteristics of different subgroups were explored by chi-squared test and analysis of variance.

RESULTS

A total of 6710 Chinese elderly who met the inclusion criteria were selected from the dataset. Four subgroups were identified among this sample by LPA, based on cognitive function associated with depressive symptoms, and named in this study as follows: mild cognitive impairment (n = 3747, 55.84%), moderate cognitive impairment (n = 1306, 19.46%), mild cognitive impairment combined with depressive symptoms (n = 1114, 16.6%), and moderate cognitive impairment combined with depression (n = 543, 8.09%). Age, gender, marital status, and educational level were all significantly different across subgroups (P < 0.001); religious belief and pension mode, however, were not (P > 0.05).

CONCLUSIONS

In the present study, four subgroups of cognitive function combined with depressive symptoms were found in Chinese elderly individuals, and differences in demographic factors were noted between the subgroups. In clinical practise, these findings could help clinical workers identify patients accurately and consider the demographic features of each subgroup when designing medical treatment, care, and rehabilitation programmes for those with cognitive impairment and concomitant depressive symptoms.