Role of depressive symptoms in subjective memory complaint in older adults with mild cognitive impairment
Bibliographic record
Abstract
AIMS: To explore the independent relationship between depressive symptoms and subjective memory complaint (SMC) amongst older adults with mild cognitive impairment (MCI) after adjusting for objective cognitive function and other important confounding factors. BACKGROUND: subjective memory complaint is a core symptom of MCI and is often the primary reason for older adults with MCI to seek for medical help. Improving subjective memory amongst older adults with MCI is important to enhance their quality of life and potentially delay further cognitive decline. Depressive symptoms, which are highly prevalent neuropsychiatric symptoms amongst older adults with MCI, may be one of the reasons that affect an individual's self-perception of memory function. However, there is a dearth of studies to provide a thorough evaluation of the independent relationship between depressive symptoms and SMC amongst older adults with MCI. DESIGN: A descriptive correlational study. METHODS: A consecutive sample (N = 154) of adults aged over 60 years was recruited from a community healthcare centre between June and September 2016. MCI was detected using the Montreal Cognitive Assessment. Depressive symptoms and subjective memory were measured using the Geriatric Depression Scale and Memory Inventory for the Chinese, respectively. Hierarchical regression was performed to explore the relationship between SMC and depressive symptoms, with control over objective cognitive function, socio-demographic and health-related confounding factors. RESULTS: = 2.4%). CONCLUSION: subjective memory complaint was independently associated with depressive symptoms in older adults with MCI. Early detection and management of depressive symptoms are highly important amongst this clinical cohort. IMPLICATIONS FOR PRACTICE: Early detection and prompt treatment of depressive symptoms is a highly prioritised care agenda in managing SMC in older adults with MCI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".