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Roos C van der Mast

Publications and source records attributed to Roos C van der Mast.

7 recordsLinked to original sources

Delirium subtype identification and the validation of the Delirium Rating Scale--Revised-98 (Dutch version) in hospitalized elderly patients.

BACKGROUND: Delirium is the most common acute neuropsychiatric disorder in hospitalized elderly. The Dutch version of the Delirium Rating Scale-Revised-98 (DRS-R-98) appears to be a reliable method to classify delirium. The aim of this study was to determine the validity and reliability of the DRS-R-98 and to study clinical subtypes of delirium using the DRS-R-98. METHODS: Patients received the Dutch version of the DRS-R-98, the Mini-Mental State Examination, the Confusion Assessment Method, and a clinical diagnosis of delirium according to DSM-IV criteria, and their relatives the Informant Questionnaire Cognitive Decline in the Elderly. RESULTS: The DRS-R-98 validation cohort (n=65) consisted of 23 patients with delirium, 22 patients with dementia, and 20 non-psychiatric comparison patients. For the delirium subtype study, a second cohort comprising 54 delirious patients was investigated. Median DRS-R-98 scores significantly distinguished delirium from dementia and no psychiatric disorder. Inter-rater reliability (intra-class correlation 0.97) and internal consistency (Crohnbach's alpha 0.94) were high. Positive scores of DRS-R-98 item 4 (affect liability) and item 7 (motor agitation) predicted the presence of non-hypoactive delirium, with a specificity of 89% and a sensitivity of 57%. CONCLUSION: The results show that the Dutch version of the DRS-R-98 is a valid and reliable measure of delirium severity and distinguishes patients with delirium from patients with dementia and comparison patients. Furthermore, the DRS-R-98 is able to exclude hypoactive delirium.

Aged↗

Natural history of depression in the oldest old: population-based prospective study.

BACKGROUND: Despite its negative consequences, little is known about the natural history of depression in the oldest old. AIMS: To study the incidence, course and predictors of depression in the general population of the oldest old. METHOD: The Leiden 85-plus Study is a prospective population-based study of 500 people from their 85th to their 89th birthdays. Depressive symptoms were annually assessed with the 15-item Geriatric Depression Scale, using a cut-off of 4 points. RESULTS: During a mean follow-up of 3.9 years, the annual risk for the emergence of depression was 6.8%. Poor daily functioning and institutionalisation predicted depression. Among the 77 participants with depression at baseline (prevalence 15%) the annual remission rate was ony 14%. In more than half of the participants with a remission of depression, we observed a relapse of depression during follow-up. No predictors of remission could be identified. CONCLUSIONS: Among the oldest old, depression is frequent and highly persistent. More active case-finding and treatment would be potentially rewarding.

Aged, 80 and over↗

Seasonal mood variation in the elderly: the Leiden 85-plus study.

BACKGROUND: The influence of seasonal changes on mood and behaviour is called seasonality. The prevalence of seasonality in elderly subjects is unknown. AIM: To investigate the seasonality pattern in mood and behaviour at old age. METHODS: All subjects from the Leiden 85-plus Study with an MMSE score of 19 or more were assessed for depressive feelings at age 85 and yearly thereafter. The influence of time of the year, duration of sunlight, daylight, and rain on the prevalence of depressive symptoms was assessed using linear mixed models for repeated measurements. RESULTS: There was no significant seasonal pattern in the data (p=0.44). Within each of the four years of observation (85, 86, 87 and 88 years) and all years combined, there was also no significant association between the one-month cumulation of duration of sunlight, daylight, or rain and the score on the GDS (all p-values >0.05). The results of either the one week or three-month accumulation of sunlight, daylight, or rain were comparable to the one-month results. CONCLUSIONS: Estimates of prevalence of seasonality reported in the literature might be overestimated or a remarkable difference between young and old subjects exists.

Affect↗

Is depression in old age fatal only when people feel lonely?

OBJECTIVE: The impact of depression and perceived loneliness in the oldest old is largely unknown. The authors studied the relationship between the presence of depressive symptoms and all-cause mortality in old age, especially the potential distorting effect of perceived loneliness. METHOD: Within a prospective population-based study of 85-year-olds, the 15-item Geriatric Depression Scale and the Loneliness Scale were annually applied in all 476 participants with a Mini-Mental State Examination score of 18 points or more. RESULTS: Depression was present in 23% and associated with marital state, institutionalization, and perceived loneliness. When depression and perceived loneliness were assessed during follow-up, neither depression nor perceived loneliness had a significant effect on mortality. However, those who suffered from both depression and feelings of loneliness had a 2.1 times higher mortality risk. CONCLUSIONS: The data suggest that the increased mortality risk attributable to depression in the presence of perceived loneliness may result from motivational depletion.

Aged↗

Temporal relation between depression and cognitive impairment in old age: prospective population based study.

OBJECTIVE: To examine the temporal relation between depression and cognitive impairment in old age. DESIGN: Prospective, population based study with four years of follow up. SETTING: City of Leiden, the Netherlands. PARTICIPANTS: 500 people aged 85 years at recruitment. MAIN OUTCOME MEASURES: Annual assessments of depressive symptoms (15 item geriatric depression scale), global cognitive function (mini-mental state examination), attention (Stroop test), processing speed (letter digit coding test), and immediate and delayed recall (12 word learning test). RESULTS: At 85 years old, participants' depressive symptoms and cognitive impairment were highly significantly correlated (P < 0.001). During follow up, an accelerated annual increase of depressive symptoms was associated with impaired attention (0.08 points (95% confidence interval 0.01 to 0.16)), immediate recall (0.17 points (0.09 to 0.25)), and delayed recall (0.10 points (0.02 to 0.18)) at baseline. In contrast, depressive symptoms at baseline were not related to an accelerated cognitive decline during follow up (P > 0.05). CONCLUSION: Caregivers should be aware of the development of depressive symptoms when cognitive impairment is present. However, the presence of depression only does not increase the risk of cognitive decline.

Aged↗