Evidence map›Paper›PMID 38328549›Full record

ArticleFrontiers in public health2023

Depression, anxiety, stress symptoms and their determinants among secondary students with vision impairment in rural Northwestern China during the COVID-19 pandemic.

Dongfeng Li, Ving Fai Chan, Huan Wang, Huiping Zhang, Gianni Virgili, Noelle Whitestone, Baixiang Xiao, Manpreet K Singh, Xinshu She, Graeme Mackenzie and 4 more

Open access · goldAbstract read
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.6field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

14 authors at 6 institutions in 4 countries.

Dongfeng Li *Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Ving Fai Chan *Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
Huan WangStanford Centre on China's Economy and Institutions, Stanford University, Stanford, CA, United States.
Huiping ZhangSchool of Financial and Management, Ningxia University, Yinchuan, China.
Gianni VirgiliCentre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
Noelle WhitestoneOrbis International, New York, NY, United States.
Baixiang XiaoCentre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
Manpreet K SinghStanford University School of Medicine, Stanford University, Stanford, CA, United States.
Xinshu SheStanford University School of Medicine, Stanford University, Stanford, CA, United States.
Graeme MackenzieClearly Initiatives, London, United Kingdom.
Matthew BoswellStanford Centre on China's Economy and Institutions, Stanford University, Stanford, CA, United States.
Sonia MaviCentre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
Scott RozelleStanford Centre on China's Economy and Institutions, Stanford University, Stanford, CA, United States.
Nathan CongdonCentre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
Stanford University · USQueen's University Belfast · GBDevelopment Initiatives · GBNanchang University · CNNingxia University · CNSun Yat-sen University · CN

Funding

Medical Research Council R1087CPH
6 · The paper itself

Abstract

Objective: The measures implemented to control the spread of Coronavirus disease 2019 (COVID-19) could affect children's mental and vision health. Youth particularly from minority and socioeconomically disadvantaged backgrounds were more likely to be impacted by these measures. This study aimed to examine the mental health of children with vision impairment and associated factors in North-western China during the COVID-19 pandemic. Methods: A cross-sectional study was conducted among 2,036 secondary school children living in Ningxia Hui Autonomous Region. Participants completed a survey on sociodemographic and lifestyle information and answered the Chinese version of the 21-item Depression Anxiety Stress Scales (DASS-21) questionnaire. Presenting visual acuity was measured by a trained enumerator. Multivariate logistic regression analysis was used to identify potential risk factors for mental health problems. Results: Responses from 1,992 (97.8%) children were included in the analysis after excluding those with incomplete mental health outcome data. The prevalence of depression, anxiety and stress symptoms within the dataset were 28.9, 46.4, and 22.3%, respectively. The distribution of children with different stress levels differed significantly between those with and without vision impairment ( Conclusion: A considerable proportion of our sample experienced mental health problems during the pandemic. Healthcare planners in China should consider interventions such as reducing recreational screen time, ensuring sufficient sleep, and timely detection of mental health symptoms among socioeconomically disadvantaged groups.

Indexed as

COVID-19AdolescentAnxietyChildCross-Sectional StudiesDepressionHumansPandemicsSARS-CoV-2StudentschildrenCOVID-19mental healthrural Chinavision impairment

Identifiers

PMID38328549
PMCPMC10847594
OpenAlexW4391172233

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.