Evidence map›Paper›PMID 41838711›Full record

ArticlePloS one2026

Vegetation cover fraction and the residential distribution of child-rearing households in urban Tokyo and Osaka: An ecological cross-sectional analysis.

Moe Otani, Daisuke Matsushita

Abstract read
In one paragraph

Article in PloS one, 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
–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

2 authors.

Moe OtaniDepartment of Living Environment Design, Graduate School of Human Life and Ecology, Osaka Metropolitan University, Osaka, Japan.
Daisuke MatsushitaDepartment of Living Environment Design, Graduate School of Human Life and Ecology, Osaka Metropolitan University, Osaka, Japan.ORCID https://orcid.org/0000-0002-6765-9366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Japan, promoting the long-term settlement of child-rearing households is critical to counteract community decline driven by a falling birthrate and an aging population. Most previous studies on residential location preferences among child-rearing households have relied on self-reported data, and a lack of quantitative evidence based on geospatial and demographic indicators still remains. This ecological cross-sectional study examined the association between vegetation cover fraction (VCF) and the residential distribution of child-rearing households by analyzing the relationship between VCF and the proportion of children (POC) in Tokyo and Osaka. Correlations between VCF and the POC were calculated for all town blocks with VCF values below 0.5 (representing urban and suburban areas rather than forested or rural regions), stratified by distance from the city center and school-age groups, and adjusted for neighborhood environmental and transportation accessibility factors. VCF showed a positive association with the POC even after adjustment (Tokyo: 4,814 town blocks, coefficient: 0.05; Osaka: 7,337 town blocks, coefficient: 0.040). Significant positive associations were observed within 0-15 km from the city center in Tokyo and within 5-15 km in Osaka, but not beyond 15 km. The strongest associations in Tokyo were observed within 5 km for preschool-aged children and 5-10 km for older students, while those in Osaka were noted within 5-10 km for younger children and 20-25 km for junior high school students. These findings suggest that the residential distribution of child-rearing households in urban areas is positively associated with nearby urban greenery.

Indexed as

Family CharacteristicsPlantsResidence CharacteristicsChildChild, PreschoolCross-Sectional StudiesHumansJapanTokyoUrban Population

Identifiers

PMID41838711
PMCPMC12991222

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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.