Evidence map›Paper›PMID 35492433›Full record

ArticleInnovation (Cambridge (Mass.))2022

Effects of greenness on preterm birth: A national longitudinal study of 3.7 million singleton births.

Lina Zhang, Shuyan Shi, Shenpeng Wu, Ying Yang, Jihong Xu, Ya Zhang, Qiaomei Wang, Haiping Shen, Yiping Zhang, Donghai Yan and 10 more

Open access · goldAbstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 36 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

20 authors at 4 institutions in 1 country.

Lina ZhangSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
Shuyan ShiNational Research Institute for Family Planning, Beijing 100081, China.
Shenpeng WuNational Research Institute for Family Planning, Beijing 100081, China.
Ying YangNational Research Institute for Family Planning, Beijing 100081, China.
Jihong XuNational Research Institute for Family Planning, Beijing 100081, China.
Ya ZhangNational Research Institute for Family Planning, Beijing 100081, China.
Qiaomei WangDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China.
Haiping ShenDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China.
Yiping ZhangDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China.
Donghai YanDepartment of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China.
Zuoqi PengNational Research Institute for Family Planning, Beijing 100081, China.
Cong LiuSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
Weidong WangSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
Yixuan JiangSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
Su ShiSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
Renjie ChenSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
Haidong KanSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
Yuan HeNational Research Institute for Family Planning, Beijing 100081, China.
Xia MengSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
Xu MaNational Research Institute for Family Planning, Beijing 100081, China.
Fudan University · CNChinese National Human Genome Center · CNNational Health and Family Planning Commission · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to greenness may lead to a wide range of beneficial health outcomes. However, the effects of greenness on preterm birth (PTB) are inconsistent, and limited studies have focused on the subcategories of PTB. A total of 3,751,672 singleton births from a national birth cohort in mainland China were included in this study. Greenness was estimated using the satellite-based Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index with 500-m and 1,000-m buffers around participants' addresses. The subcategories of PTB (20-36 weeks) included extremely PTB (EPTB, 20-27 weeks), very PTB (VPTB, 28-31 week), and moderate-to-late PTB (MPTB, 32-36 weeks). Gestational age (GA) was included as another birth outcome. We used logistic regression models and multiple linear regression models to analyze these associations throughout the entire pregnancy. We found inverse associations between greenness and PTB and positive associations between greenness and GA. Specifically, an increase of 0.1 NDVI exposure within a 500-m buffer throughout the entire pregnancy was significantly associated with decreases in PTB (odds ratio [OR], 0.930; 95% confidence interval [CI], 0.927-0.932), EPTB (OR, 0.820; 95% CI, 0.801-0.839), VPTB (OR, 0.913; 95% CI, 0.908-0.919), MPTB (OR, 0.934; 95% CI, 0.931-0.936), and an increase in GA (β = 0.050; 95% CI, 0.049-0.051 weeks). These results suggest the potential protective effects of greenness on PTB and its subcategories: MPTB, VPTB, and EPTB in China.

Indexed as

extremely PTBgreennessmoderate-to-late PTBpreterm birthvery PTB

Identifiers

PMID35492433
PMCPMC9046626
OpenAlexW4224912677

What OpenQuestion holds

Textmetadata
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.