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Coincident Patterns of Suicide Risk Among Adult Patients with a Primary Solid Tumor: A Large-Scale Population Study

Authors Ma W, Wu W, Fu R, Zheng S, Bai R, Lyu J

Received 12 January 2021

Accepted for publication 12 March 2021

Published 25 March 2021 Volume 2021:14 Pages 1107—1119

DOI https://doi.org/10.2147/IJGM.S300740

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser


Wen Ma,1,2,* Wentao Wu,2,* Rong Fu,2 Shuai Zheng,3 Ruhai Bai,2 Jun Lyu1– 3

1Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China; 2School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, People’s Republic of China; 3Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Jun Lyu
Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, 710061, People’s Republic of China
Tel +86 13379060167
Email [email protected]

Background: Suicide rate is much higher in cancer patients than in general population. This study examined the suicide risk in survivors of primary solid tumor across 19 cancer sites considering risk coincident patterns based on area-based SES indicators.
Methods: A retrospective search of the SEER database was conducted. Independent risk factors for suicide were identified using the Cox proportional-hazards model. Exploratory factor analysis and cluster analysis were used to create coincident patterns of SES factors.
Results: Suicide risk was higher for patients with a primary solid tumor who were older, male, white, unmarried, had no insurance, poorly differentiated, distant metastasis and did not undergo active treatment (especially surgery). The suicide risk was higher for patients living in areas with economic and education disadvantage, high levels of immigration and crowding, and high levels of residential instability. Concomitant presence of high economic and education disadvantage, high immigration and crowding levels and low residential instability, showed the highest risk of suicide.
Conclusion: In order to mitigate suicidal risk, clinicians should pay more attention to patients who are older, male, white, not married, high levels of cancer severity, not received active treatment (especially surgery), and having no insurance. Identifying coincident patterns of suicide help further screen high suicidal risk patients based on area-based socioeconomic status.

Keywords: socioeconomic status, suicide risk, solid tumor, exploratory factor analysis, cluster analysis, coincident patterns

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