Excess mortality and life-years lost in older adults with schizophrenia-spectrum disorders: A 6-year follow-up case-control study

The prevalence of older adults with schizophrenia is growing, yet age-specific mortality estimates and quantifying metrics remain scarce, limiting evidence-based healthcare management. We followed 2665 older adults (≥65 years) with schizophrenia-spectrum disorder (SSD) and 18,298 matched comparison group utilising Hong Kong electronic health records from 2005 to 2011. We estimated the mortality hazard ratios with Cox regression and competing risk analyses. We also quantified the mortality risks with life-years lost (LYLs) metric for enhanced clinical interpretation. Compared to the comparison group, older adults with SSD had 4-fold elevated all-cause mortality (HR4.39, 95 %CI: 4.02-4.80) and had 5.28 excess LYLs (95 %CI: 4.77-5.87). Natural causes accounted for 5.53 life-years lost, while unnatural causes contributed minimally despite an 8-fold elevated hazard ratio. Natural causes account the majority of excess mortality in older SSD patients. Our findings highlight the importance of prioritising physical health monitoring alongside psychiatric management for this vulnerable population.

Authors

Institutions

Publication Details

Journal
International Psychogeriatrics
Published
2026-02-01
DOI
https://doi.org/10.1016/j.inpsyc.2026.100196
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Excess mortality and life-years lost in older adults with schizophrenia-spectrum disorders: A 6-year follow-up case-control study

C. W. Fung, Tong Han Chung, Ting Keung Poon, Chiu Wa Linda Lam et al.
International Psychogeriatrics
Schizophrenia research and treatment
article

Excess mortality and life-years lost in older adults with schizophrenia-spectrum disorders: A 6-year follow-up case-control study

C. W. Fung, Tong Han Chung, Ting Keung Poon, Chiu Wa Linda Lam, Lap Kei Chan, Wai Chi Chan, Calvin Pak Wing Cheng, Mei Cheung Wong, Joe Kwun Nam Chan, Anson Yan Sou Tang, Allen Ting Chun Lee, Yu Ching WONG, Sing-Hang CHEUNG, Pak Chung SHAM, Wing Chung CHANG, Corine Sau Man WONG, Man Chak CHAN, Katrina Tung Yee TSE, Adelina Sze Hang TSOI, Heather Wai Sum LIU
article en

Abstract

The prevalence of older adults with schizophrenia is growing, yet age-specific mortality estimates and quantifying metrics remain scarce, limiting evidence-based healthcare management. We followed 2665 older adults (≥65 years) with schizophrenia-spectrum disorder (SSD) and 18,298 matched comparison group utilising Hong Kong electronic health records from 2005 to 2011. We estimated the mortality hazard ratios with Cox regression and competing risk analyses. We also quantified the mortality risks with life-years lost (LYLs) metric for enhanced clinical interpretation. Compared to the comparison group, older adults with SSD had 4-fold elevated all-cause mortality (HR4.39, 95 %CI: 4.02-4.80) and had 5.28 excess LYLs (95 %CI: 4.77-5.87). Natural causes accounted for 5.53 life-years lost, while unnatural causes contributed minimally despite an 8-fold elevated hazard ratio. Natural causes account the majority of excess mortality in older SSD patients. Our findings highlight the importance of prioritising physical health monitoring alongside psychiatric management for this vulnerable population.

International Psychogeriatrics
Chinese University of Hong Kong (HK), Pamela Youde Nethersole Eastern Hospital (CN), Kowloon Hospital (CN), University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 60%
Schizophrenia research and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.