We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
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 no-reply@cambridge.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.
The Neuropsychiatric Inventory (NPI) is one of the most popular and frequently used instruments for assessing so-called challenging behavior in individuals with dementia in research practice. However, no information is available regarding the factor structure of the German version of the Neuropsychiatric Inventory – Nursing Home (NPI-NH). The aim of this study was to evaluate the factor structure (an aspect of construct validity) and internal consistency of the NPI-NH for two different stages of dementia severity in a large German nursing home population.
Methods:
A total of 784 residents with dementia from 40 nursing homes in three studies was included in a secondary data analysis. Principal component analysis (PCA) using an orthogonal rotational procedure (with varimax rotation) was used to evaluate the factor structure of the NPI. Cronbach's α was used to assess the stability of the scale.
Results:
The factors agitation & restless behavior, psychosis, and mood were identified (with factor loading > 0.4 explaining 50% of the variance). The factors showed a moderate internal consistency of 0.55 and 0.68 (Cronbach's α).
Conclusions:
The results show the acceptable factor structure of the NPI for a German population in nursing homes and confirm the results of studies from other countries. The three identified factors appear to be robust over the various stages of dementia severity. The results also support the hypothesis that the NPI-NH can be subdivided into multiple domains.
This study forms part of a larger European programme investigating the transition from home care to long-term care (LTC) facility in people with dementia (PwD) at the margins of LTC. The aim of this study was to explore the factors associated with depressive symptomatology in PwD in different settings.
Methods:
A total of 1,538 PwD, of which 957 received home care and 581 lived in a LTC facility, and their carers were interviewed. The Cornell Scale for Depression in Dementia (CSDD) measured depressive symptomatology. PwD completed measures of cognition and quality of life (QoL), and informal or formal carers completed measures on the PwD’ QoL, neuropsychiatric behavior, activities of daily living, comorbidities, pain, and falls. Logistic regression was used to assess which factors contributed to depressive symptomatology in the two settings.
Results:
Those receiving home care, living in Germany, and with severe dementia, showed the highest prevalence of depressive symptomatology. In the home care group, high levels of pain, neuropsychiatric behavior, and comorbidity, as well as low self- and proxy-rated QoL were factors associated with depressive symptomatology. In the LTC group, low proxy-rated QoL, more severe neuropsychiatric behavior, being a male informal carer and living in Germany were associated with depressive symptomatology.
Conclusions:
Evidence highlights the need for targeting different aspects in the management of depression in dementia, including offering improved pain management for those living in the community. Further research needs to explore cultural variations and carer gender factors associated with higher levels of depressive symptomatology.
Depression is a common comorbid disorder of dementia. This study explores the prevalence of and factors associated with depressive symptomatology, and antidepressant prescription rates in severe dementia across eight European countries.
Methods:
In total, 414 people with severe dementia completed measures of cognition and quality of life (QoL), whilst carers completed proxy measures of activities of daily living (ADLs), depression, neuropsychiatric symptoms, QoL and comorbidity.
Results:
Findings indicated that 30% of the sample had depression, whilst the highest and lowest prevalence of depression was reported in Germany and Finland, respectively. Lower QoL, the presence of pain and more frequent neuropsychiatric symptoms were associated with depressive symptomatology, whilst no significant relationship between impairment of ADLs, comorbidity, and depression emerged. Spain and Estonia had the highest and lowest rates of antidepressant prescribing, respectively, whilst Germany had the highest discrepancy between depressive symptomatology and prescription.
Conclusions:
The study highlights variations across countries in the prevalence of depressive symptomatology in severe dementia and prescription of antidepressants. Information about factors associated with depressive symptomatology may help to better identify and manage depression.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.