Evidence map›Paper›PMID 40687514›Full record

ArticleEco-Environment & Health2025

Early-life residential greenness and sleep disturbances in preschoolers across 551 cities of China.

Yang Shen, Yan Zhao, Xia Meng, Kexin Yu, Gareth J Williams, Wenchong Du, Jing Cai, Haidong Kan, Jing Hua

Abstract read
In one paragraph

Article in Eco-Environment & Health, 2025. 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

9 authors.

Yang ShenSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, 200032, China.
Yan ZhaoHospital of Obstetrics and Gynecology, Shanghai Medical School, Fudan University, Shanghai, 200080, China.
Xia MengSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, 200032, China.
Kexin YuSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, 200032, China.
Gareth J WilliamsSchool of Social Sciences, Nottingham Trent University, Nottingham, NG1 4BU, UK.
Wenchong DuNTU Psychology, School of Social Sciences, Nottingham Trent University, Nottingham, NG1 4BU, UK.
Jing CaiSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, 200032, China.
Haidong KanSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, 200032, China.
Jing HuaDepartment of Women's and Children's Health Care, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nexus between early-life residential greenness and sleep health in children remains underexplored. This research investigated associations of early-life greenness exposure with sleep outcomes among 101,879 preschoolers from 551 Chinese cities. Sleep status was evaluated using the Children's Sleep Habits Questionnaire (CSHQ). Greenness was estimated using satellite-derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) surrounding participants' home during pregnancy and post-birth period. Linear mixed-effect and random-effects logistic regression models were used to assess associations of greenness with CSHQ scores and sleep disturbance, respectively. Mediation effects of air pollution and residential distance to major roads were examined. Both prenatal and postnatal greenness exposures were significantly associated with better sleep outcomes. Specifically, an interquartile range increment in NDVI within the 250-m buffer during the entire pregnancy and from birth to investigation was associated with reductions in the total CSHQ score by 0.21 (95% confidence interval [CI]: 0.14, 0.28) and 0.22 (95% CI: 0.15, 0.29), respectively. Corresponding odds ratios for sleep disturbance were 0.96 (95% CI: 0.94, 0.98) for both periods. These associations remained consistent when considering larger buffers (500-m and 1000-m), and employing other greenness metrics like EVI and growing-season NDVI. The association between postnatal greenness exposure and sleep disturbance was partially mediated by PM

Indexed as

ChildrenEarly-lifeGreennessGreen spaceSleep disturbanceSleep quality

Identifiers

PMID40687514
PMCPMC12273562

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.