Evidence map›Paper›PMID 40343224›Full record

ArticleSSM - population health2025

Association between stock market volatility and severe mental disorders: a multi-city time-series study.

Jiangli Hu, Yantao Yin, Ruiqing Guo, Yunqiong Wang, Shuming Ji, Jinyu Wang, Benying Feng, Jian Qian, Bo Zhou, Hui Li and 1 more

Abstract read
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In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jiangli HuSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yantao YinDepartment of HBP Surgical Center and Cell Transplant Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Ruiqing GuoSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yunqiong WangSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Shuming JiDepartment of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China.
Jinyu WangSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Benying FengSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Jian QianWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Bo ZhouSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Hui LiSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Fang LiaoSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stock market volatility was commonly considered as a psychological stressor. However, the association between stock market volatility and severe mental disorders (SMD) has not been investigated. Methods: Daily numbers of SMD hospital admissions and Shanghai Stock Exchange Composite (SSEC) Index in 7 cities in southwestern China from 2020 to 2023 were collected. A two-stage time-series analysis was conducted to reveal the association between stock volatility and the risk of hospital admission for SMD. Stratified analyses were performed by age, gender, and ICD-10 codes to explore potential high-risk groups. Results: The association between the SSEC percentage change, SSEC closing price and SMD hospital admissions both exhibit a U-shaped curve. A 1 % decrease in SSEC is associated with a 7.2 % (95 %CI: 4.1 %-10.4 %) increase in the SMD admission, while a 1 % increase in SSEC is associated with a 2.6 % (95 %CI: 0.1 %-5.2 %) increase in the SMD admissions. With 3400 points as the dividing point, every 10-point increase in SSEC closing price is associated with a 9 % (95 %CI: 3.6 %-14.7 %) increase in the SMD hospital admissions, while each 10-point decrease is associated with a 4.4 % (95 %CI: 0.6 %-8.3 %) increase in the SMD hospital admissions. Furthermore, these associations tended to be stronger in the female and non-schizophrenia patients. Conclusion: These associations indicate that both rise and fall in stock prices increase the risk of SMD. This finding suggests that it is an effective way to take the stock speculation behavior into consideration when managing and treating the SMD patients.

Indexed as

Mental diseaseSevere mental disordersStock volatilityTime-series analysis

Identifiers

PMID40343224
PMCPMC12059714

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LicenceCC BY-NC-ND
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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.