Evidence map›Paper›PMID 35998954›Full record

ArticleBMJ open2022

Association between mental health and executive dysfunction and the moderating effect of urban-rural subpopulation in general adolescents from Shangrao, China: a population-based cross-sectional study.

Qingmin Lin, Cody Abbey, Yunting Zhang, Guanghai Wang, Jinkui Lu, Sarah-Eve Dill, Qi Jiang, M K Singh, Xinshu She, Huan Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Qingmin LinPediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-3424-9659
Cody AbbeyFreeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA.
Yunting ZhangChild Health Advocacy Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Guanghai WangPediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jinkui LuDepartment of Physical Education, Shangrao Normal University, Shangrao, China.
Sarah-Eve DillFreeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA.
Qi JiangFreeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA.
M K SinghStanford University School of Medicine, Stanford, California, USA.
Xinshu SheStanford University School of Medicine, Stanford, California, USA.
Huan WangStanford Center on China's Economy and Institutions, Stanford University, Stanford, California, USA.
Scott RozelleFreeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA.
Fan JiangPediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China fanjiang@shsmu.edu.cn.
Stanford University · USShanghai Jiao Tong University · CNShangrao Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the association between mental health and executive dysfunction in general adolescents, and to identify whether home residence and school location would moderate that association.

designA population-based cross-sectional study.

settingA subsample of the Shanghai Children's Health, Education, and Lifestyle Evaluation-Adolescents project. 16 sampled schools in Shangrao city located in downstream Yangtze River in southeast China (December 2018).

participants1895 adolescents (48.8% male) which were divided into three subpopulations: (A) adolescents who have urban hukou (ie, household registration in China) and attend urban schools (UU, n=292); (B) adolescents who have rural hukou and attend urban schools (RU, n=819) and (C) adolescents who have rural hukou and attend rural schools (RR, n=784). MEASURES: The Depression Anxiety and Stress Scale-21 was used to assess adolescent mental health symptoms, and the Behaviour Rating Inventory of Executive Function (parent form) was applied to measure adolescent executive dysfunction in nature setting.

resultsMental health symptoms were common (depression: 25.2%, anxiety: 53.0%, stress: 19.7%) in our sample, and the prevalence rates were lower among UU adolescents than those among the RR and RU, with intersubgroup differences in screen exposure time explaining most of the variance. We found the three types of symptoms were strongly associated with executive dysfunction in general adolescents. We also observed a marginal moderating effect of urban-rural subgroup on the associations: UU adolescents with depression (OR 6.74, 95% CI 3.75 to 12.12) and anxiety (OR 5.56, 95% CI 1.86 to 16.66) had a higher executive dysfunction risk when compared with RR youths with depression (OR 1.93, 95% CI 0.91 to 4.12) and anxiety (OR 1.80, 95% CI 1.39 to 2.33), respectively.

conclusionsRural adolescents experienced more mental health symptoms, whereas urban individuals with mental health problems had a higher executive dysfunction risk.

Indexed as

Mental HealthRural PopulationAdolescentAnxietyChildChinaCross-Sectional StudiesFemaleHumansMaleUrban PopulationCommunity child healthEPIDEMIOLOGYMENTAL HEALTHPUBLIC HEALTH

Identifiers

PMID35998954
PMCPMC9403159
OpenAlexW4292774303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.