Evidence map›Paper›PMID 38264252›Full record

SynthesisFrontiers in public health2023

The relation between family socioeconomic status and depressive symptoms among children and adolescents in mainland China: a meta-analysis.

Yingnan Niu, Xiaolin Guo, He Cai, Liang Luo

Abstract readMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. The moderating effect of family socioeconomic status in the relationship between health-related behaviors and quality of life among the Hakka older adults in Fujian, China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  10. 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.

Yingnan NiuCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.
Xiaolin GuoCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.
He CaiCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.
Liang LuoInstitute of Developmental Psychology, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family socioeconomic status (SES) is widely believed to be associated with depressive symptoms in children and adolescents. The correlation between SES and depressive symptoms changes based on social culture and the economic development level. In China, which includes many children and adolescents, the magnitude of the relationship between SES and depressive symptoms and its potential moderators remains unclear. The current meta-analysis was conducted to determine the overall association between SES and depressive symptoms in children and adolescents in mainland China. We included 197 estimates in mainland China from 2000-2023. Among 147,613 children and adolescents aged 7-18 years, the results showed a weak but significant overall negative association between SES and depression (

Indexed as

DepressionSocial ClassAdolescentChildChinaEconomic DevelopmentEducational StatusHumansadolescentschildrendepressive symptomsmainland Chinameta-analysissocioeconomic status

Identifiers

PMID38264252
PMCPMC10803464

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.