Evidence map›Paper›PMID 36088991›Full record

SynthesisEnvironmental research2022

Neighborhood walkability and sex steroid hormone levels in women.

Sandra India-Aldana, Andrew G Rundle, Tess V Clendenen, James W Quinn, Alan A Arslan, Yelena Afanasyeva, Karen L Koenig, Mengling Liu, Kathryn M Neckerman, Lorna E Thorpe and 2 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

12 authors at 2 institutions in 1 country.

Sandra India-AldanaDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA.
Andrew G RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA.
Tess V ClendenenDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA.
James W QuinnDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA.
Alan A ArslanDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA; Department of Obstetrics and Gynecology, NYU Grossman School of Medicine, New York, NY, USA; Department of Environmental Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Yelena AfanasyevaDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA.
Karen L KoenigDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA.
Mengling LiuDepartment of Environmental Medicine, NYU Grossman School of Medicine, New York, NY, USA; Division of Biostatistics, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA.
Kathryn M NeckermanColumbia Population Research Center, Columbia University, 1255 Amsterdam Avenue, New York, NY, 10027, USA.
Lorna E ThorpeDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA.
Anne Zeleniuch-JacquotteDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA.
Yu ChenDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA; Department of Environmental Medicine, NYU Grossman School of Medicine, New York, NY, USA. Electronic address: Yu.Chen@nyulangone.org.
New York University · USColumbia University · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
RESEARCH IN ENVIRONMENTAL HEALTH SCIENCES (CENTER GRANT)P30ES000260 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ZELIKOFF, JUDITH TERRY · 1985 to 2020
$26.1M
The NYU Women's Health StudyUM1CA182934 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ZELENIUCH-JAQUOTTE, ANNE · 2015 to 2019
$3.7M
The NYU Women's Health StudyU01CA182934 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHEN, YU · 2020 to 2023
$2.7M
NCI NIH HHS P30 CA016087NCI NIH HHS U01 CA182934NCI NIH HHS UM1 CA182934NIEHS NIH HHS P30 ES000260
6 · The paper itself

Abstract

backgroundNeighborhood walkability (NW) has been linked to increased physical activity, which in turn is associated with lower concentrations of sex hormones and higher concentration of SHBG in women. However, no study has directly examined the association of NW with female sex hormone levels.

objectiveWe conducted a cross-sectional study to evaluate the association between NW and circulating levels of sex hormones and SHBG in pre- and post-menopausal women.

methodsWe included 797 premenopausal and 618 postmenopausal women from the New York University Women's Health Study (NYUWHS) who were healthy controls in previous nested case-control studies in which sex hormones (androstenedione, testosterone, DHEAS, estradiol and estrone) and SHBG had been measured in serum at enrollment. Baseline residential addresses were geo-coded and the Built Environment and Health Neighborhood Walkability Index (BEH-NWI) was calculated. Generalized Estimating Equations were used to assess the association between BEH-NWI and sex hormone and SHBG concentrations adjusting for individual- and neighborhood-level factors.

resultsIn premenopausal women, a one standard deviation (SD) increment in BEH-NWI was associated with a 3.5% (95% CI 0.9%-6.1%) lower DHEAS concentration. In postmenopausal women, a one SD increment in BEH-NWI was related to an 8.5% (95% CI 5.4%-11.5%) lower level of DHEAS, a 3.7% (95% CI 0.5%-6.8%) lower level of testosterone, a 1.8% (95% CI 0.5%-3.0%) lower level of estrone, and a 4.2% (95% CI 2.7%-5.7%) higher level of SHBG. However, the associations with respect to DHEAS and estrone became apparent only after adjusting for neighborhood-level variables. Sensitivity analyses using fixed effects meta-analysis and inverse probability weighting accounting for potential selection bias yielded similar results.

conclusionOur findings suggest that NW is associated with lower concentrations of androgens and estrone, and increased SHBG, in postmenopausal women, and lower levels of DHEAS in premenopausal women.

Indexed as

AndrostenedioneEstroneAndrogensCross-Sectional StudiesDehydroepiandrosteroneDehydroepiandrosterone SulfateEstradiolFemaleGonadal Steroid HormonesHumansSex Hormone-Binding GlobulinTestosteroneAndrogensAndrostenedioneDehydroepiandrosteroneDehydroepiandrosterone SulfateEstradiolEstroneGonadal Steroid HormonesSex Hormone-Binding GlobulinTestosteroneNeighborhood walkabilitySex steroid hormonesUrban healthWomen's health

Identifiers

PMID36088991
PMCPMC10039647
OpenAlexW4296122883

What OpenQuestion holds

Textmetadata
LicenceTDM
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.