Evidence map›Paper›PMID 40659027›Full record

ArticleThe lancet. Healthy longevity2025

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.

Hanseul Cho, Soeun Kim, Yejun Son, Wonwoo Jang, Hyeon Jin Kim, Hayeon Lee, Sooji Lee, Jiyeon Oh, Jiseung Kang, Alexander C Tsai and 7 more

Abstract read
In one paragraph

Article in The lancet. Healthy longevity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Hanseul ChoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Soeun KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Yejun SonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Wonwoo JangCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Sooji LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Jiyeon OhCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Jiseung KangDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA; School of Health and Environmental Science, College of Health Science, Korea University, Seoul, South Korea.
Alexander C TsaiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Center for Global Health and Mongan Institute, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Ann K ShinnHarvard Medical School, Boston, MA, USA; McLean Hospital, Psychotic Disorders Division, Belmont, MA, USA.
Guillaume FondResearch Centre on Health Services and Quality of Life, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France.
Laurent BoyerResearch Centre on Health Services and Quality of Life, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France.
Marco SolmiDepartment of Psychiatry, SCIENCES lab, University of Ottawa, Ottawa, ON, Canada; On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, Ottawa Hospital, Ottawa, ON, Canada; Ottawa Hospital Research Institute Clinical Epidemiology Program, University of Ottawa, Ottawa, ON, Canada; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea. Electronic address: yonkkang@gmail.com.
Paolo Fusar-PoliEarly Psychosis: Interventions and Clinical-Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Outreach and Support in South-London Service, South London and Maudlsey NHS Foundation Trust, London, UK; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University of Munich, Munich, Germany. Electronic address: paolo.fusar-poli@kcl.ac.uk.

Funding

Mentoring in patient-oriented research on the U.S. substance use and HIV syndemicK24DA061696 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI ALEXANDER C TSAI · 2024 to 2026
$640k
NIDA NIH HHS K24 DA061696
6 · The paper itself

Abstract

backgroundSuicide 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.

methodsThe 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).

findingsA 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.

interpretationAlthough 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.

fundingWellcome Trust and National Research Foundation of Korea.

Indexed as

Global HealthSuicideAgedAged, 80 and overBayes TheoremFemaleForecastingHumansMale

Identifiers

PMID40659027
PMCPMC13109039

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.