Evidence map›Paper›PMID 41311714›Full record

ArticleChildren and youth services review2024

Changes in home environment, lifestyles, and mental health among preschoolers who experienced lockdown during the first wave of COVID-19 in Shanghai.

Yunting Zhang, Jin Zhao, Zhangsheng Yu, Donglan Zhang, Saishuang Wu, Yue Zhang, Xi Chen, Guanghai Wang, Jun Zhang, Fan Jiang

Abstract read
In one paragraph

Article in Children and youth services review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Yunting ZhangChild Health Advocacy Institute, National Children's Medical Center, Shanghai Children's Medical Center affiliated to Shanghai Jiao Tong Unversity School of Medicine, China.
Jin ZhaoDepartment of Developmental and Behavioral Pediatrics, National Children's Medical Center, Shanghai Children's Medical Center affiliated to Shanghai Jiao Tong Unversity School of Medicine, China.
Zhangsheng YuClinical Research Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Donglan ZhangDivision of Health Services Research, Department of Foundations of Medicine, New York University Grossman Long Island School of Medicine, NY, USA.
Saishuang WuDepartment of Developmental and Behavioral Pediatrics, National Children's Medical Center, Shanghai Children's Medical Center affiliated to Shanghai Jiao Tong Unversity School of Medicine, China.
Yue ZhangClinical Research Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xi ChenDepartment of Health Policy and Management, Yale School of Public Health, Yale University, CT, USA.
Guanghai WangDepartment of Developmental and Behavioral Pediatrics, National Children's Medical Center, Shanghai Children's Medical Center affiliated to Shanghai Jiao Tong Unversity School of Medicine, China.
Jun ZhangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, affiliated to Shanghai Jiao Tong Unversity School of Medicine, Shanghai, China.
Fan JiangDepartment of Developmental and Behavioral Pediatrics, National Children's Medical Center, Shanghai Children's Medical Center affiliated to Shanghai Jiao Tong Unversity School of Medicine, China.

Funding

Using machine learning and causal inference approaches to investigate disparities in Alzheimer’s disease and related dementias outcomesR01MD013886 · NIMHD · UNIVERSITY OF GEORGIA · PI ZHANG, DONGLAN · 2019 to 2022
$2.4M
NIMHD NIH HHS R01 MD013886
6 · The paper itself

Abstract

From January 24, 2020, to March 24, 2020, during the first wave of the COVID-19 pandemic, Shanghai implemented lockdown measures to stop transmission of the virus. Over 26 million residents, including 0.8 million children aged 3-6, were confined at home. The present study leveraged a city-wide cohort study of preschool children in Shanghai-the Shanghai Children's Health, Education and Lifestyle Evaluation, Preschool (SCHEDULE-P) study-and used a quasi-experimental design to study the impact of lockdown on preschool children's mental health and changes in their home environment and lifestyles. Two cohorts-the pre-pandemic cohort and the pandemic cohort-were investigated and compared using the difference-in-differences estimation framework. The Strengths and Difficulties Questionnaire was used to screen children who were at risk for mental health distress. The Index of Child Care Environment questionnaire was used to evaluate the quality and quantity of stimulation and support available to children in their family environment. Children's screen time, sleep duration, and household socioeconomic status were also queried. All measures were reported by parents. The results showed that having experienced lockdown and home confinement was associated with a 3.1% (95% confidence interval [CI]: 1.9% to 4.4%) increase in the percentage of children at risk for mental health distress, was associated with longer screen time (21.2 min/day, 95% CI: 17.8-24.6), longer sleep duration (15.7 min/day, 95% CI: 14.0, 17.4), and a less favorable family environment. Children of parents with lower levels of education were more likely to experience mental health challenges associated with the lockdown. The study was limited by relying on parents as informants for measuring the key variables. Since both parents and children experienced lockdown, this hindered our ability to isolate the impact of lockdowns solely on children. In summary, the study provides evidence on the influence of lockdown measures on mental health and well-being among young children. Authorities need to manage the risks and consider long-term consequences when issuing measures to contain COVID-19 transmission.

Indexed as

Home environmentLifestyleLockdownMental HealthPreschoolersShanghai

Identifiers

PMID41311714
PMCPMC12657006

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Registered trials

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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.