Evidence map›Paper›PMID 40661299›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Gene-environment interplay in the relationship between the visibility of the environment and self-reported depression in early midlife: a Finnish twin cohort study.

Zhiyang Wang, Stephanie Zellers, Maarit Piirtola, Sari Aaltonen, Jessica Salvatore, Danielle Dick, Simone Kühn, Jaakko Kaprio

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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
–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

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

8 authors.

Zhiyang WangInstitute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-1379-3153
Stephanie ZellersInstitute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-8927-3483
Maarit PiirtolaInstitute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-7270-6676
Sari AaltonenInstitute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2873-4263
Jessica SalvatoreDepartment of Psychiatry, Rutgers University, Piscataway, New Jersey, USA.ORCID 0000-0001-5504-5087
Danielle DickDepartment of Psychiatry, Rutgers University, Piscataway, New Jersey, USA.ORCID 0000-0002-1636-893X
Simone KühnCenter for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0001-6823-7969
Jaakko KaprioInstitute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3716-2455

Funding

The development of alcohol misuse and related problems from adolescence to early midlifeR01AA015416 · NIAAA · WASHINGTON UNIVERSITY · PI DICK, DANIELLE M, SALVATORE, JESSICA E · 2005 to 2024
$7.6M
ADOLESCENT ALCOHOL ABUSE: A TWIN-STUDY PERSPECTIVER37AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2000 to 2009
$2.9M
Adolescent Alcohol Abuse: A Twin-Study PerspectiveR01AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2013 to 2017
$1.2M
USE &ABUSE OF ALCOHOL--A BEHAVIOR-GENETICS PERSPECTIVEK05AA000145 · NIAAA · INDIANA UNIVERSITY BLOOMINGTON · PI ROSE, RICHARD JOSEPH · 1992 to 1996
–
BEHAVIORAL PRECURSORS OF ALCOHOLISM--TWIN FAMILY STUDIESR01AA009203 · NIAAA · INDIANA UNIVERSITY BLOOMINGTON · PI ROSE, RICHARD JOSEPH · 1994 to 1998
–
NIAAA NIH HHS K05 AA000145NIAAA NIH HHS R01 AA009203NIAAA NIH HHS R01 AA012502NIAAA NIH HHS R01 AA015416NIAAA NIH HHS R37 AA012502
6 · The paper itself

Abstract

Background: Depression is a major public health concern with a complex etiology, which may also be influenced by the living environment. The first-person visibility represents the most direct way of influence from the physical environment. Objectives: We aim to investigate the effect of the visibility of the environment at the residence on self-reported depression among early midlife adults, as well as underlying gene-environment interplay. Methods: The study used 1867 participants who completed the early midlife follow-u p (mean age: 37.2 years) of the FinnTwin12 cohort. The visibility of the environment at the residence was segmented into three visibility factors: sky, tree, and building. Linear regression was fitted between visibility factors and self-reported depression. Molecular methods using polygenetic risk score and twin design (univariate modeling and bivariate moderation modeling) were applied to explore the gene-environment correlation and interaction. Findings: In males, a higher proportion of building visibility factor was associated with more depression (beta: 0.20, 95% CI: 0.03, 0.36). Univariate twin models estimated that additive genetic factors accounted for 46%, 29%, and 49% of the variance in sky, tree, and building visibility factors, respectively. Bivariate moderation analyses revealed strong gene-environment interactions between all three visibility factors and self-reported depression in females, while in males, interaction was observed by the building visibility factor. Conclusion: Urban design should consider building density and other related characteristics to promote mental well-being. The complex gene-environment interplay informs the need for tailored interventions that account for genetic susceptibility and processes by which persons select their inhabitats.

Indexed as

depressiongenetwinvisibility

Identifiers

PMID40661299
PMCPMC12258757

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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.