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Record W2318488392 · doi:10.1136/eb-2012-100943

Reported loneliness rather than social isolation is a risk factor for 10-year mortality in older men

2012· letter· en· W2318488392 on OpenAlexaff
Melissa K. Andrew

Bibliographic record

VenueEvidence-Based Mental Health · 2012
Typeletter
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsLonelinessSocial isolationSocial riskGerontologyRisk factorIsolation (microbiology)DemographyPsychologyMedicinePsychiatryEnvironmental healthSociologyInternal medicineBiology

Abstract

fetched live from OpenAlex

QUESTION Question: Do social isolation factors and feelings of loneliness predict an increased risk of mortality in older people, and does this relationship differ between men and women? Population: 4004 city of Amsterdam residents aged between 65 and 84 years from the Amsterdam Study of the Elderly (AMSTEL). Participants were randomly selected from four age categories consisting of 5-year brackets and were representative of Amsterdam’s elderly population. Structured interviews were conducted in each resident’s home by trained and supervised interviewers. Setting: Amsterdam city, The Netherlands; 1991–2001. Prognostic factors: Feelings of loneliness, defined in the structured interview as the experience or subjective feeling of loneliness by the participant when asked the question ‘do you feel lonely?’. Social isolation, defined as either a lack of social support (assessed by asking participants if they had help from family, neighbours or home support), or being no longer married, single or living alone. Potential confounders were assessed in the structured interview at baseline including psychiatric disorders, medical disorders and conditions, smoking and drinking behaviours, cognitive functioning and functional status and demographic characteristics including education. Associations between social isolation, feelings of loneliness and mortality were calculated using Cox proportional hazard regression models after controlling for potential confounders. Interactions between feelings of loneliness and gender were also calculated and included in the regression model. Outcomes: Death (identified through linkage with local registries). METHODS Design: Prospective cohort study. Follow-up period: Average 9.8 years. MAIN RESULTS At baseline, more women (27.4%) reported feelings of loneliness than men (12%; p<0.001). Women were also more socially isolated in terms of being single or no longer married and living alone (p<0.001) but did receive more social support than men (p<0.001). At 10 years’ follow-up, 53% of participants had died (60.8% of men and 47.2% of women). The death rate was higher in men reporting feelings of loneliness at baseline (78.9%) compared to women reporting loneliness (53.9%). The death rate was also higher for men with social isolation than women with social isolation. Following adjustment for social isolation and other identified confounders, reporting feelings of loneliness was associated with a significantly increased risk of mortality in men (HR 1.30, 95% CI 1.04 to 1.63), but not women (HR 1.04, 95% CI 0.90 to 1.24). Following adjustment, no higher risk of mortality was found in men or women reporting social isolation. CONCLUSIONS Reporting feelings of loneliness is associated with a significantly increased risk of mortality in the next 10 years in older men, but not older women. This relationship is independent of social isolation. Reporting social isolation is not an independent risk factor for mortality in the next 10 years in older men or women. NOTES Men and women differed significantly for most conditions at baseline. The severity and extent of loneliness were not determined. Feelings of loneliness and social support were identified at baseline only and the study did not account for changes in marital status, living arrangement, social network and feelings of loneliness throughout the 10-year follow-up.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.332
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.154
GPT teacher head0.435
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations5
Published2012
Admission routes1
Has abstractyes

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