To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Supported by (1) medical research grants CMRPG3C0041/42 from Chang Gung Memorial Hospital and NRRPG2H0031 from Ministry of Science and Technology, Taiwan to Chemin Lin (2) NMRPG3G6031/32 from Ministry of Science and Technology, Taiwan to Shwu-Hua, Lee (3) the KKHo International Charitable Foundation to Tatia Lee.
Suicide rate tends to peak in old age, and major depression is the most salient risk factor for late-life suicide. However, few studies have focused on the neuroscientific facet of suicide in the context of late-life depression (LLD).
We recruited 114 participants of LLD (28 with history of suicide attempt and 86 without) and 47 elderly controls. They received MRI scanning and behavioral assessment. White matter hyperintensity (WMH) was quantified by an automated segmentation algorithm and graph theoretical analysis was applied to resting-state fMRI. We used ANCOVA to compare group difference in WMH loading and multivariate generalized linear model to compare global and local topological parameters in fMRI signals, controlling for demographics. Partial correlation was conducted between imaging parameters and behavioral data in group of suicide attempters.
We found significant higher WMH in suicide attempters than those of LLD without suicide attempts and elderly controls (F =7.091; p = 0.001). Suicide attempters also had increased betweenness centrality (BC) in right superior occipital gyrus (SOG) (Bonferroni corrected), right precuneus (False positive corrected) and right superior temporal gyrus (uncorrected) and decreased BC in left hippocampus (uncorrected). In suicide attempters, higher BC in right SOG correlated with higher WMH, higher depression severity, higher illness awareness and insight, and lower cognitive function (digit backward), while higher BC in right precuneus correlated with higher decrease awareness and insight and higher cognitive function (digit backward).
Resonating with the vascular hypothesis in LLD, higher WMH was found in those having history of suicide attempts. However, the re-organized brain topology changes are related with divergent cognitive function and convergent heightened disease insight.
Background: Early detection and appropriate treatment interventions for depressive symptoms in the elderly are important issues for healthcare systems. However, few studies to date have focused on understanding self-care strategies to manage depressive symptoms among elderly people worldwide. The purpose of this study was to explore self-care management strategies and risk factors for depressive symptoms among elderly outpatients in Taiwan.
Methods: A convenience sample of elderly persons (≥65 years old; N = 1054) was recruited from outpatient clinics of two hospitals in northern Taiwan.
Results: In our sample, the prevalence of depressive tendency was 16.3%. The majority of participants (70.1%) managed depressive symptoms with self-care strategies. The strategy most often used to relieve depressive symptoms was “take a walk.” The main information source for self-care strategies was self-learning. Depressive tendency in this sample was shown by logistic regression analysis to be significantly predicted by gender, marital status, perceived income adequacy, perceived health condition, stroke, and cancer.
Conclusion: Elderly people need to be made more aware of strategies to self-manage depressive symptoms. Healthcare providers can decrease/prevent the first risk factor for depressive symptoms (poor perceived health status) by improving elders’ perceived health and promoting their actual health. The second risk factor (poor perceived income adequacy) can be decreased/prevented by carefully assessing patients’ financial situation during clinic visits and providing suitable referral for further assistance.
Email your librarian or administrator to recommend adding this to your organisation's collection.