MétaCan
Menu
Retour à la cohorte
Enregistrement 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 sur OpenAlexaff
Melissa K. Andrew

Notice bibliographique

RevueEvidence-Based Mental Health · 2012
Typeletter
Langueen
DomaineSocial Sciences
ThématiqueHealth disparities and outcomes
Établissements canadiensDalhousie University
Organismes subventionnairesnon disponible
Mots-clésLonelinessSocial isolationSocial riskGerontologyRisk factorIsolation (microbiology)DemographyPsychologyMedicinePsychiatryEnvironmental healthSociologyInternal medicineBiology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,332
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,154
Tête enseignante GPT0,435
Écart entre enseignants0,280 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2012
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueEvidence-Based Mental HealthMême sujetHealth disparities and outcomesTravaux en français237 207