How social isolation and loneliness leave distinct imprints on memory: a thematic analysis informed by descriptive phenomenology
Bibliographic record
Abstract
With growing recognition of psychosocial risks for cognitive impairment, research on social isolation (SI) and loneliness (LON) and their relationship to memory has increased over the past decade. However, most studies have examined SI and LON separately, leaving their combined influence on memory underexplored, particularly in qualitative research. This study presents the qualitative arm of a larger mixed-methods investigation, exploring how SI and LON, separately and together, shape memory in middle-aged and older adults. Ten individuals aged 47 - 81 were recruited through purposive and snowball sampling for semi-structured interviews, analyzed using thematic analysis informed by descriptive phenomenology. Participants generally viewed LON as more damaging to memory than SI, noting that mental stimulation is still possible during isolation, whereas LON often drains the motivation to engage in such activities. Some described SI positively (form of self-care), though extended SI was seen as detrimental due to increased social anxiety (further limits social engagement), disrupted routines, and diminished sense of purpose, all critical for memory. The combination of SI and LON was perceived as most harmful, creating a feedback loop that exacerbates both conditions and increases vulnerability to self-destructive behaviours (smoking, physical inactivity, poor diet). This research identifies distinctive indicators and psychosocial needs of those experiencing SI, LON, or both, supporting more precise screening and intervention triage in clinical and community settings. It underscores the value of targeted, multimodal brain health interventions addressing diverse contributing factors through strategies like social connection, purpose-driven living, cognitively stimulating activities, chronic disease management, and healthy lifestyle habits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".