A Brief Sensitive Screening Instrument for Depression in Late Life

Allen, Nicholas B.; Ames, David; Ashby, Deborah; Bennetts, Kerryn; Tuckwell, Virginia; West, Christopher R.

doi:10.1093/ageing/23.3.213

Cited by 33 publications

(37 citation statements)

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“…The estimated glomerular filtration rate (eGFR) was calculated using the Modification of Diet in Renal Disease Study equation, with an eGFR <60 ml min −1 1.73 m −2 defining renal impairment [18]. Depression was assessed using the Even Briefer Assessment Scale for Depression [19]. Basic and instrumental activities of daily living (telephone use, transport, financial affairs, managing medications) were recorded.…”

Section: Baseline Assessmentmentioning

confidence: 99%

Severe hypoglycaemia and cognitive impairment in older patients with diabetes: the Fremantle Diabetes Study

et al. 2009

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Aims/hypothesis The aim was to investigate the relationship between severe hypoglycaemia and cognitive impairment in older patients with diabetes. Methods A sample of 302 diabetic patients aged ≥70 years was assessed for dementia or cognitive impairment without dementia in 2001-2002 and a subsample of non-demented patients (n=205) was followed to assess cognitive decline. A history of severe hypoglycaemia was determined from self-reports, physician assessments and records of health service use for hypoglycaemia (HSH). Prospective HSH was determined up to 2006. Data analysis, including multiple logistic and Cox regression models, was used to determine whether: (1) there were cross-sectional associations between hypoglycaemia and cognitive status, (2) historical hypoglycaemia predicted cognitive decline, and (3) baseline cognitive status predicted subsequent HSH.Results There were significant cross-sectional associations between both cognitive impairment and dementia and hypoglycaemia. Independent risk factors for future HSH included dementia (hazard ratio 3.00, 95% CI 1.06-8.48) and inability to self-manage medications (hazard ratio 4.17, 95% CI 1.43-12.13). However, there were no significant associations between historical hypoglycaemia, incident HSH and cognitive decline. Conclusions/interpretation Dementia is an important risk factor for hypoglycaemia requiring health service utilisation. We found no evidence that hypoglycaemia contributes to cognitive impairment in older patients with diabetes.

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Section: Baseline Assessmentmentioning

confidence: 99%

Severe hypoglycaemia and cognitive impairment in older patients with diabetes: the Fremantle Diabetes Study

et al. 2009

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“…Peripheral arterial disease was considered present when the ABI was Յ0.90 (worse side) or there had been a diabetes-related lower-extremity amputation (15). Depression was assessed using the Even Briefer Assessment Scale for Depression (16). A history of hypoglycemia was assessed by self-report at initial recruitment (frequency), and questions on severe hypoglycemia (hospitalization or unconsciousness, frequency, and timing) were included at the time of cognitive assessment.…”

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confidence: 99%

Predictors of Cognitive Decline in Older Individuals With Diabetes

Bruce¹,

Davis²,

Casey³

et al. 2008

Diabetes Care

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OBJECTIVE -The purpose of this study was to determine longitudinal predictors of cognitive decline in older individuals with diabetes who did not have dementia.RESEARCH DESIGN AND METHODS -Cognitive assessments were performed in 205 subjects with diabetes (mean age 75.3 years) and repeated a median 1.6 years later. The sample was drawn from an existing cohort study, and data on diabetes, cardiovascular risk factors, and complications were collected 7.6 Ϯ 1.1 years before and at the time of the initial cognitive assessment. Cognitive status was defined using the Clinical Dementia Rating (CDR) scale, and cognitive decline was defined by change in CDR.RESULTS -The sample included 164 subjects with normal cognition (CDR 0) and 41 with cognitive impairment without dementia (CDR 0.5). At follow-up, 33 (16.1%) had experienced cognitive decline (4 new cases of dementia and 29 cognitive impairment without dementia). Only educational attainment predicted cognitive decline from the data collected 7.6 years before cognitive assessment. Univariate predictors of cognitive decline at the time of the first cognitive assessment included age, education, urinary albumin-to-creatinine ratio (ACR), and treatment with either ACE inhibitors (ACEIs) or angiotensin receptor blockers (ARBs). With multiple logistic regression controlling for age and education, cognitive decline was predicted by natural logarithm ACR (odds ratio 1.37 [95% CI 1.05-1.78], P ϭ 0.021), whereas treatment with either ACEIs or ARBs was protective (0.28 [0.12-0.65], P ϭ 0.003).CONCLUSIONS -In this sample of older patients with diabetes, microalbuminuria was a risk factor for cognitive decline, whereas drugs that inhibit the renin-angiotensin system were protective. These observations require confirmation because of their considerable potential clinical implications.

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“…For this reason, several efforts have been made to develop self-report screening inventories that would improve the accuracy of detection of depressive symptoms and yet be brief enough for routine administration to the medically ill. Although these measures have generally been found to correlate highly with full-length depression inventories (1)(2)(3)(4), in some cases their concordance with a standard from clinician-administered interviews has been less than optimal (5). Recently, Mahoney et al (6) reported preliminary evidence that a single-item interview for depression was as accurate as the 30-item Geriatric Depression Scale (7) in identifying depressive disorders in older adults.…”

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confidence: 99%