Anxiety and Dementia This cross-sectional study recruited 148 people from 19 US assisted living
facilities. 124 (84%) participants were female with an average age of 86.2 yrs
and a mean MMSE of 15.52. 25% had depressive symptoms. A low to moderate level
of anxiety was found in this sample. However, prevalence rates for anxiety were
11% and 18% as measured by the RAID and CAS, respectively. In addition, one or
more symptoms of anxiety were exhibited for 49% and 48% of the sample, as
measured by the RAID and CAS, respectively. The authors were unable to conclude
if the findings were consistent with previous studies as there were no
comparable studies that used dementia specific scales for measuring anxiety.
Neville & Teri. Anxiety, anxiety symptoms, and associations among older
people with dementia in assisted-living facilities. Int J Mental Hlth Nrs 2011,
20, 195-201.
Clinical Evaluation of Dementia
This study conducted in Sweden aimed to develop a new test of cognitive
performance in people with moderate to severe dementia. Furthermore, the authors
aimed to develop a scale that indicates both functional cognitive performance
and over-learned knowledge. The scale developed was called the Clinical
Evaluation of Moderate-to-Severe Dementia and this title was shortened to a
Swedish acronym: KUD. The KUD consists of 15 items. Reliability and validity was
established with a sample of 220 people with a broad range of stages of
dementia. The KUD was validated against the MMSE with the correlation between
the KUD and MSSE (<20) being strong (r = 0.80). Reliable assessment of cognitive
performance was established in people with a MMSE score of less than 12. The
authors argue that the KUD is complementary to the MMSE, rather than a
replacement. The authors conclude the KUD may be useful to measure the effects
of interventions, in particular in a population of people who might not be able
to complete other cognitive tests.
Ericsson et al. KUD – a scale for clinical evaluation of moderate-to-severe
dementia. J Clin Nrs 2011, 20, 1542-1552.
NEECHAM Confusion Scale This Scandinavian study aimed to assess the validity and predictive value of
the NEECHAM Confusion Scale. 149 patients aged >65, following orthopaedic
surgery for hip fracture were observed daily using DSM-IV criteria for delirium.
Participants mean age was 82.2 and the majority were women (76%). Patients who
upon admission were delirious or had an MMSE of < 11 points were excluded from
the study. The NEECHAM Confusion Scale was administered at admission and prior
to discharge. At admission, 37 participants (25%) scored less than 25 on the
NEECHAM, therefore indicative of delirium according to this scale, although they
were not considered to have delirium according to DSM-IV criteria. The results
show that the NEECHAM scale identified more people with delirium than the DSM-IV
criteria. The incidence of DSM-IV related delirium during hospitalisation was
24%. A logistic regression analysis showed that participants scoring 25-26
points on the NEECHAM had nearly a threefold risk of developing DSM-IV delirium.
Those patients who scored below 25 points on the NEECHAM Confusion Scale had a
12 times higher risk of developing delirium, as per DSM-IV criteria. The
predictive value of the NEECHAM scale using logistic regression found for each
one-point drop in the NEECHAM score on admission, the risk of developing DSM-IV
delirium increased by 42%.
The authors concluded that the lower the NEECHAM score, the higher the risk of
developing DSM-IV delirium.
Sorensen Duppils & Johansson. Predictive value and validation of the NEECHAM
Confusion Scale using DSM-IV criteria for delirium as gold standard. Int J Older
People Nrs, 6, 133-142.
Mark Rapoport - Canada Research and Practice: Depression, Cognitive Impairment and the Physical
Environment.
Environmental Influences-MR
Environment clearly does matter in the prevalence and course of mental illness
in later life. Recent studies have shown associations between the physical
environment and neuropsychiatric symptoms in assisted living facilities, between
depressive symptoms and the mixture of retail buildings within residential
neighborhoods, and between heavy smoking and the later development of dementia
in a community sample. A study in a large emergency department setting
demonstrated the transience of depressive symptoms and cognitive deficits among
older patients being assessed, when followed up as little as 2 weeks later.
Researchers from Johns Hopkins School of Medicine conducted a cohort study of
326 residents in assisted living from 21 different facilities. Objective ratings
were taken of the physical facilities, and participants were assessed with the
Neuropsychiatric Inventory (NPI), and falls were recorded. The physical aspects
of the facilities which were measured using a standardized and validated tool on
a scale from 0-30, with higher scores representing better physical environment.
The average physical environment score was 16.4 (SD 4.4), and was significantly
related to both the NPI score and fall risk. Residents without dementia were
more affected by the environment than those without. A two-factor solution was
found via factor analysis: Dignity (including room autonomy, privacy, call
buttons, phones, “homelikeness”, hallway length, and light even-ness) and
Sensory (visual and tactile stimulation, maintenance, handrails and
cleanliness). A Dignity subscore accounted for 13.9% of the variance in NPI
scores. With many geriatric psychiatrists practicing in suboptimal physical
settings, this study highlights the role the physical environment on symptoms.
It remains to be seen whether an intervention to change the environment would
have an impact on neuropsychiatric status.
Bicket, M.C. et al. The physical environment influences neuropsychiatric
symptoms and other outcomes in assisted living residents. Int J Ger Psychiatry
2010; 25: 1044-1054.
Researchers in Perth, Australia examined the relationship between Geriatric
Depression Scores (GDS) and aspects of the environment in a sample of 5,218 men,
of whom 5.7% showed scores of 7 or greater on the GDS (the cut-off used for
“significant” depressive symptoms). Residential density and walkability were not
associated with depressive symptoms, but there was an increase in depressive
symptoms associated with a high “land use mix” OR 1.37 (95% CI 1.02-1.84). A
high “land use mix” meant that there was a high level of different uses for the
given land where the participant lived, ie. retail, residential, offices,
community services, and entertainment/recreation. In a multivariate analysis,
they found that the mix of residential with retail space was particularly
associated with depressive symptoms (OR 1.46, 95% CI 1.11-1.90). This
association remained once age, education, and perceived social support were
controlled for. This finding was counter-intuitive, but the authors postulated
that factors such as large parking lots and more visitor traffic may have led to
less comfortable experiences for these men. The study raises important questions
on the topic of community design in older residential neighborhoods.
Saarloos, D. et al The built environment and depression in later life: The
health in men study. Am J. Geriatr Psychiatry 2011; 19:461-70.
A prospective cohort study from Finland was reported in the Archives of Internal
Medicine this past winter in which more than 21,000 members of a health care
system completed a survey in the 1970s and 1980s quantifying their smoking use,
when they were between 50 and 60 years of age. The authors examined the
relationship between smoking and later diagnosis of Alzheimer’s (AD) and
vascular dementias (VaD) between 1994 and 2008. Of the sample assessed, 5367
people (25.4%) were diagnosed with dementia. Using those who never smoked as a
reference group, the authors reported a doubling of risk of dementia associated
with being a current smoker of 2 or more packs per day (OR 2.10, 95% CI
1.57-2.58), which was significantly greater than those who smoked 1-2 packs per
day (OR 1.37, 95% CI 1.21-1.55), or lesser amounts. Being a heavy smoker of 2 or
more packs per day was linked with both AD and VaD, and the relationship between
smoking and dementia persisted after controlling for age, sex, education, race,
marital status, BMI, diabetes, hypertension, heart disease, hyperlipidemia, and
alcohol use. This important study gives emphasis to smoking as a modifiable risk
factor not only for vascular disease and cancer, but also neurodegenerative
disease.
Rusanen M, et al. Heavy smoking in midlife and long-term risk of Alzheimer
disease and vascular dementia. Arch Intern Med 2011, 1171(4):333-9.
Researchers from Rochester, New York evaluated 1,206 older adults who visited an
emergency department in a 3 month period in 2008, of whom 67% completed a second
assessment by telephone 2 weeks later. Participants were assessed for depression
using the Patient Health Questionnaire-9, using a cut-off of 10 or more to
indicate significant depression, and the Six Item Screener was used to screen
for cognitive impairment, with 2 or more errors used as the cut-off for
significant impairment. At the first screening, 15% were scored in the
depressive range and 9% in the cognitively impaired range. Two weeks later, 28%
of those with a positive depression screen at baseline still screened positive
for depression, and 12% screening positive for cognitive impairment still met
criteria for cognitive impairment. Only 3% and 1% of those with negative
depressive or cognitive screens at baseline screened positive at the 2 week
followup. The study raises an important finding about the variability and
transience of symptoms when assessed in an emergency department setting.
Shah, M.N. et al Depression and cognitive impairment in older adult emergency
department patients: changes over 2 weeks. JAGS, 2011, 59(2): 321-6.
Cognitive Impairment – Subjective and Objective - MR The role of subjective cognitive impairment in predicting decline over time
has been controversial, and a recent cross-sectional study suggests that
subjective cognitive impairment is linked closer to emotional symptoms and
personality variables than to objective cognitive deficits. A recent study
systematically addressed the use of tools for screening and case finding in
various settings, providing more specific guidance into selection of measures
for detecting objective cognitive impairment, and raising a call for more
research into this area.
A large-scale cross-sectional study of 827 community-dwelling older adults
without dementia was conducted in Sydney, Australia. Participants completed a
Memory Complaint Questionnaire (MAC-Q) by telephone, and then had an in-person
assessment with a research psychologist who administered neuropsychological
testing, and asked them to complete scales of depression and anxiety in person.
The NEO-Five Factor Inventory personality measure was completed by participants
at home and mailed back. Subjective memory complaints by participants on the
MAC-Q was not significantly related to objective impairment status (categorized
based on the objective neuropsychological testing), but there were significant,
although weak, associations between subjective cognitive complaints with
depression and anxiety ratings, as well as higher neuroticism and lower
conscientiousness. It is particularly notable that 89.5% of participants
endorsed at least one subjective memory complaint. The authors caution against
the use of subjective cognitive complaints as a criterion for “Mild Cognitive
Impairment” given the high prevalence and lack of relationship with objective
deficits. On the basis of this study, it will be important for measures of
affective symptoms and personality to be incorporated into prospective studies
of subjective cognitive impairment to avoid confounding the study of it’s
relationship to later decline.
Slavin, M. et al Prevalence and predictors of “subjective cognitive
complaints” in the Sydney Memory and Ageing Study. Am J Geriatr Psychiatry 2010;
18(8): 701-710.
Two investigators from Leicester, UK conducted a systematic review and
meta-analysis of multi-domain tests for detecting dementia, and only studies
with tools that took no longer than the MMSE to administer were selected. Out of
784 potential studies, 44 analyses were extracted. Twenty studies were conducted
in specialist settings, ten in primary-care, and 14 in community settings, and
these settings were analyzed separately. The authors emphasize that case-finding
is generally measured by positive predictive value (PPV) as it is the ability of
the tool to detect the condition with minimal false negatives, whereas screening
is reported as the negative predictive value (NPV, or the ability to detect the
diagnosis with minimal false positives), and they therefore reported
recommendations for screening and case-finding separately. On the basis of their
analyses, in secondary care settings, grade A recommendations were made for
using the Mini-Cog and the 6-item cognitive impairment test for case-finding,
and the Mini-Cog for screening. The only grade A recommendation in primary care
settings was for using the Abbreviated Mental Test Score (AMTS) for
case-finding. No grade A recommendations were made for screening in primary care
or for screening or case-finding in community settings, revealing the
limitations and shortage of rigorous literature in this area.
Mitchell, A.J. & Maladi, S. Screening and case-finding tools for the
detection of dementia. Part I: Evidence based meta-analysis of multi-domain
tests. Am J Geriatr Psychiatry 2010; 18(9); 759-782.
Reprinted from IPA Bulletin, Volume 28, Number 3
Copyright 2012 International Psychogeriatric Association