Evidence map›Paper›PMID 40457046›Full record

ArticleNpj mental health research2025

Assessing the mental health impact of China's housing boom through national and city-level data analysis.

Yige Xiao, Xin Liu, Lijie Ren, Shufang Lai

Abstract read
In one paragraph

Article in Npj mental health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Yige Xiao *School of Finance and Economics, Shenzhen Institute of Information Technology, Shenzhen, China.
Xin Liu *International School of Business & Finance, Sun Yat-sen University, Zhuhai, China.
Lijie RenShenzhen Second People's Hospital, Shenzhen, China. renlijie72@126.com.
Shufang LaiSchool of Business, Southern University of Science and Technology, Shanghai, China. shufanglai@gmail.com.

Funding

National Natural Science Fund of China 71902033National Natural Science Fund of China 72002093
6 · The paper itself

Abstract

This study examines the net societal impact of housing price fluctuations on mental health during a housing boom. Analyzing data from 31 Chinese provinces between 2008 and 2019, we identify a significant positive relationship between housing price returns and the rate of psychiatric outpatient visits, suggesting that rising house prices decrease mental health. The results remain robust after controlling for local firms' stock returns. Placebo tests show that mental health impacts are primarily driven by housing price changes in the patients' local neighborhoods. Moreover, using City-level data from a hospital in Shenzhen (where housing prices showed the sharpest rise between January 2015 and April 2019), we document a two-week lagged effect of housing price surges on mental health Deterioration, which takes slightly longer to manifest than the negative effect of stock market fluctuations. Overall, our findings suggest that housing booms deteriorate mental health and increase the societal burden on healthcare systems.

Identifiers

PMID40457046
PMCPMC12130515

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.