Evidence map›Paper›PMID 41272018›Full record

ArticleScientific reports2025

The effect of connectedness to nature on behavioral stages based on the transtheoretical model.

Xingdie Zheng, Hirofumi Ueda

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Xingdie ZhengHokkaido University Graduate School of International Media, Communication, and Tourism Studies, Sapporo, Japan. a44567402@gmail.com.
Hirofumi UedaHokkaido University Graduate School of International Media, Communication, and Tourism Studies, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study applied a transtheoretical model to investigate how the degree of connectedness-to-nature influences individuals' natural behaviors. It presents an innovative theoretical perspective on behavioral change by incorporating environmental factors (connectedness-to-nature) into the model, moving beyond the sole focus on individual health behaviors or psychological processes. Data for the study were collected through a public survey conducted via the "Wenjuanxing" online platform from 273 participants from various provinces across China, who completed the questionnaire anonymously and voluntarily. Data analyses were performed using SPSS version 27.0. The results indicated that, after categorizing the respondents into five behavioral stages, (Precontemplation, Contemplation, Preparation, Action, Maintenance) the degree of connectedness-to-nature significantly and positively predicted individuals' stages of natural behavior. The study further revealed significant differences in connectedness-to-nature scores between the pre-action and action stages. Additionally, individuals in the action and maintenance stages exhibited significantly different scores compared to those in the pre-intention, intention, and pre-action stages. As individuals progressed through the stages of natural behavior, their overall connectedness-to-nature scores increased significantly. This study employed a transtheoretical model to differentiate among stages of natural behavior, providing empirical evidence of the influence of connectedness-to-nature on changes in natural behavior.

Indexed as

Health BehaviorModels, PsychologicalAdolescentAdultChinaFemaleHumansIntentionMaleMiddle AgedSurveys and QuestionnairesYoung AdultBehavior changeConnectedness-to-natureForest therapyNature-based behaviorTranstheoretical model

Identifiers

PMID41272018
PMCPMC12638904

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.