Evidence map›Paper›PMID 42245540›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2026

Satellite and ground-level residential greenness and hair steroid hormones during pregnancy.

Sohini Bhattacharya, Yaron Michael, Nadezhda Sokolova, Noam David, Maya Levhar, Anat Schonblum, Liat Arnon, Liat Salzer Sheelo, Michal Eisner, Eran Hadar and 5 more

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Sohini BhattacharyaHealth and Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.ORCID https://orcid.org/0009-0002-3358-8974
Yaron MichaelDepartment of Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel.
Nadezhda SokolovaHealth and Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
Noam DavidThe Rachel and Selim Benin School of Computer Science and Engineering, Hebrew University, Jerusalem, Israel.
Maya LevharHealth and Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
Anat SchonblumMina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.
Liat ArnonMina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.
Liat Salzer SheeloHelen Schneider Hospital for Women, Rabin Medical Center, Petach-Tikva, Israel.
Michal EisnerHelen Schneider Hospital for Women, Rabin Medical Center, Petach-Tikva, Israel.
Eran HadarHelen Schneider Hospital for Women, Rabin Medical Center, Petach-Tikva, Israel.
Israel MeiznerHelen Schneider Hospital for Women, Rabin Medical Center, Petach-Tikva, Israel.
Arnon WiznitzerHelen Schneider Hospital for Women, Rabin Medical Center, Petach-Tikva, Israel.
Aron WellerDepartment of Psychology & Gonda Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel.ORCID https://orcid.org/0000-0002-0663-4384
Lee KorenMina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.ORCID https://orcid.org/0000-0002-7425-501X
Keren Agay-ShayHealth and Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.ORCID https://orcid.org/0000-0003-3502-5366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Residential greenness, measured using satellite data, is associated with lower cortisol, but evidence for other hormones during pregnancy is limited. Google Street View (GSV) images provide pedestrian perspectives, allowing assessment of specific greenness features. Objective: This study aimed to evaluate associations between residential greenness and multiple hair steroid levels during pregnancy, using both satellite and ground-level greenness exposure. Methods: Hair steroids (cortisol, cortisone, progesterone, and dehydroepiandrosterone) during the second trimester were quantified using liquid chromatography-mass spectrometry in 385 pregnant individuals. We used first-trimester hair cortisol data. Based on geocoded birth addresses, mean residential greenness was calculated using satellite-based Normalized Difference Vegetation Index (NDVI) data at 100-, 300-, and 500-m buffers in a cross-sectional approach. Deep learning algorithms were applied to 176,196 GSV images to estimate % total greenness, grass, plants, and trees within a 100-m buffer of participants' residences. Linear models and Generalized Estimating Equations were used to evaluate associations between greenness tertiles and hair steroids. Results: During the second trimester, in adjusted models, exposure to the highest compared with the lowest tertile of mean NDVI was associated with significantly lower mean z-cortisol levels within all buffers. Higher mean NDVI within the 500-m buffer was associated with significantly lower mean z-cortisone levels. For GSV images, higher % grass was associated with lower z-cortisol and z-cortisone levels. Using repeated measures of hair cortisol demonstrated similar results, with lower mean z-cortisol levels across the first and second trimesters. Conclusion: Living in greener areas during the second trimester of pregnancy is associated with lower chronic stress markers, especially hair cortisol and cortisone.

Indexed as

Google street view (GSV) imagesHair steroidsNormalised Difference Vegetation Index (NDVI)

Identifiers

PMID42245540
PMCPMC13232905

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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.