Evidence map›Paper›PMID 38987523›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2024

The U-shape Association between Population Agglomeration and Individual Depression: the Role of Dialect Diversity.

Jiatong Han, Kai Zhang, Han Lin, Le Chang, Juan Tu, Qiang Mai

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Can New-type Urbanization Pave a Way against Depression? Evidence from a Quasi-Natural Experiment in China.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  2. Article
  3. 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

6 authors.

Jiatong Han *School of Computer Science, Jiangsu Key Laboratory of Public Project Audit, Nanjing Audit University, Nanjing, 211815, China.
Kai Zhang *School of Computer Science, Jiangsu Key Laboratory of Public Project Audit, Nanjing Audit University, Nanjing, 211815, China.
Han LinSchool of Engineering Audit, Jiangsu Key Laboratory of Public Project Audit, Nanjing Audit University, Nanjing, 211815, China. linhan@nau.edu.cn.ORCID http://orcid.org/0000-0001-5136-5059
Le ChangDepartment of Acoustics, School of Physics, Nanjing University, Nanjing, 210093, China.
Juan TuDepartment of Acoustics, School of Physics, Nanjing University, Nanjing, 210093, China.
Qiang MaiSchool of Economics and Management, Harbin Institute of Technology, Harbin, 150010, China.

Funding

National Natural Science Foundation of China 12227808National Natural Science Foundation of China 72271126Postgraduate Research and Practice Innovation Program of Jiangsu Province KYCX23_2343
6 · The paper itself

Abstract

Depression is a relevant mental illness affecting hundreds of millions of people worldwide. As urbanization accelerates, agglomeration of populations has altered individual social network distances and life crowding, which in turn affects depressive prevalence. However, the association between depression and population agglomeration (PA) remains controversial. This study aims to explore whether and how PA could influence individual depression. Based on the China Health and Retirement Longitudinal Study (CHARLS) 2018, the empirical results showed that there was a U-shaped association between PA and individual CES-D scores. As PA increases, the risk of depression first decreases and then increases. CES-D was lowest at moderate aggregation. Dialect diversity (DD) was positively related to the incidence of individual depression. The higher the DD, the higher the risk of depression. Meanwhile, DD also played a moderating role in the association between PA and individual depression. Our observations suggest that the optimistic level of agglomeration for individual mental health is within 1500 to 2000 persons per square kilometer.

Indexed as

DepressionAgedChinaCultural DiversityFemaleHumansLongitudinal StudiesMaleMental HealthMiddle AgedPrevalenceUrbanizationDepressionDialect diversityPopulation agglomeration

Identifiers

PMID38987523
PMCPMC11329481

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.