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Enregistrement W4412463268 · doi:10.1016/j.lanhl.2025.100719

Method-specific suicide mortality rates among older adults in 47 countries and territories, 1996–2021, with projections to 2050: a global time series and modelling study

2025· article· en· W4412463268 sur OpenAlexaff
Hanseul Cho, Soeun Kim, Yejun Son, Wonwoo Jang, Hyeon Jin Kim, Ha-Yeon Lee, Sooji Lee, Jiyeon Oh, Jiseung Kang, Alexander C. Tsai, Ann K. Shinn, Guillaume Fond, Laurent Boyer, Marco Solmi, Selin Woo, Dong Keon Yon, Paolo Fusar‐Poli

Notice bibliographique

RevueThe Lancet Healthy Longevity · 2025
Typearticle
Langueen
DomainePsychology
ThématiqueSuicide and Self-Harm Studies
Établissements canadiensOttawa Hospital
Organismes subventionnairesNational Institute on Drug AbuseInstitute for Information and Communications Technology PromotionNational Institutes of HealthMinistry of Science and ICT, South KoreaNational Research Foundation of KoreaNational Research FoundationWellcome Trust
Mots-clésDemographyMedicinePoison controlMortality rateInjury preventionSuicide preventionOccupational safety and healthSuicide methodsGerontologyEnvironmental healthSuicide ratesSurgery

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Suicide rates are highest among older adults, yet comprehensive global studies are limited. This study aimed to estimate suicide mortality rates among older adults aged 65 years and older across 47 countries and territories from 1996 to 2021, including analyses by suicide method, project future rates to 2050, and identify associated factors. METHODS: The study adhered to the Guidelines for Accurate and Transparent Health Estimates Reporting. We extracted suicide mortality data of older adults (≥65 years) across 47 countries and territories from the WHO Mortality Database for the period 1996-2021. We first estimated suicide mortality rates using a locally estimated scatterplot smoothing curve from 1996 to 2021, conducting subanalyses by sex, age subgroup, and suicide method. We then estimated future projections of suicide mortality rates to 2050 via Bayesian age-period-cohort (BAPC) modelling. We also performed a decomposition analysis using the Das Gupta method to identify factors contributing to changes in suicide death numbers between 1996 and 2021. Finally, we examined associations between suicide mortality rates in 2021 or the most recent available year and country-level indicators (poverty rate, disability-adjusted life-year [DALY] rates for alcohol use disorders and mental disorders, civilian firearm ownership, and pesticide use per cropland). FINDINGS: A total of 687 443 older adults who died by suicide (75·2% men, 24·8% women) were included in the analysis. The suicide mortality rate among adults aged 65 years and older was 15·99 deaths per 100 000 (95% CI 14·19-17·80) in 2021, significantly higher than the all-age suicide mortality rate of 10·87 deaths per 100 000 (9·86-11·87) in 2021 (p<0·0001). Firearms were more frequently used by older adults who died by suicide, compared with the total population (14·91% vs 9·88%, respectively; p<0·0001). The firearm-related suicide mortality rate among older adults was 2·44 per 100 000 (95% CI 2·00-2·89) in 2021, approximately twice that of individuals of all ages (1·09 per 100 000; 0·88-1·31; p<0·0001). There was an overall decline in suicide mortality rates among older adults from 1996 to 2021 (average annual percentage change [AAPC] -1·51 per 100 000; 95% CI -1·52 to -1·50), which was more pronounced among women (AAPC -2·24 per 100 000; -2·28 to -2·21) than in men (AAPC -1·45 per 100 000; -1·48 to -1·42; p<0·0001). Older age subgroups had smaller AAPCs (p<0·0001 for comparisons across all age subgroups). Notably, among adults aged 80 years and older, the suicide mortality rate by firearm showed no statistically significant change between 1996 and 2021. BAPC model projections suggest a slowing in the decline of suicide mortality rates among older adults to 2050. Decomposition analysis indicated that compared with 1996, the total number of suicides in 2021 increased by 7781 deaths primarily due to population growth. Suicide mortality rates among older adults generally increased with higher poverty rates, DALY rates for mental disorders and alcohol use disorders, as well as Human Development Index. Additionally, increasing civilian firearm ownership rates and pesticide use per cropland area were associated with higher suicide mortality rates among older adults who died by firearm and other poisoning, respectively. INTERPRETATION: Although suicide mortality rates among older adults have declined, the slowing pace of the decline and the rapid ageing of the global population make it an increasing public health concern. Associations between the availability of means such as firearms and pesticides and method-specific suicide rates support existing evidence that restricting access to highly lethal methods can reduce suicide mortality. Variation in suicide methods by sex, age, and country, such as the higher use of firearms among older adults and more frequent use of drug or other poisoning among older women, can inform tailored risk assessments and prevention strategies. FUNDING: Wellcome Trust and National Research Foundation of Korea.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,050
Score d'incertitude au seuil0,953

Scores Codex et Gemma par catégorie

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

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 Opus0,047
Tête enseignante GPT0,379
Écart entre enseignants0,332 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations7
Publié2025
Routes d'admission1
Résumé présentoui

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