Literature DB >> 23767897

Physicians' detection of late-life depression: the roles of dysphoria and cognitive impairment.

Jeffrey J Gregg1, Amy Fiske, Margaret Gatz.   

Abstract

OBJECTIVE: To examine factors that impede or facilitate physicians' detection of depression in later life, including cognitive impairment and patients' endorsement of dysphoria.
METHODS: A population-based sample of 344 adults from the Swedish Adoption/Twin Study of Aging (SATSA) was utilized. Physician detection of depression was determined by (1) outpatient medical records, (2) antidepressant prescription, and/or (3) inpatient hospitalization. Depressive symptoms were measured by highest score on the Center for Epidemiologic Studies - Depression Scale (CES-D), administered on six occasions between 1986 and 1994. Endorsement of dysphoria was examined using two items on the CES-D. The Mini-Mental State Examination (MMSE) was used to indicate cognitive impairment.
RESULTS: One-hundred thirty-six individuals were above the cut-off on the CES-D on at least one occasion; however, only 14 of these individuals (10%) were detected as depressed by a physician. Higher CES-D total score was significantly related to physician detection. Furthermore, physicians were most likely to detect depression if the individual endorsed the single CES-D item regarding feeling depressed. A significant interaction was found, such that overall CES-D score was only associated with physician detection among those with higher endorsement of the depressed item. The association between total CES-D and physician detection was not affected by presence of cognitive impairment.
CONCLUSIONS: Depression in later life often goes undetected by physicians. Factors associated with detection include the frequency/severity of symptoms and patients' endorsement specifically of feeling depressed. Results suggest that physicians should routinely assess for other symptoms associated with late-life depression besides dysphoria (e.g., appetite loss, crying spells).

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Mesh:

Year:  2013        PMID: 23767897      PMCID: PMC3797862          DOI: 10.1080/13607863.2013.805403

Source DB:  PubMed          Journal:  Aging Ment Health        ISSN: 1360-7863            Impact factor:   3.658


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