Evidence map›Paper›PMID 42273611›Full record

ArticleChina CDC weekly2026

Exploration of Pathways for Integrating Health into All Policies from the Perspective of Environmental Health Governance in China.

Xiaoyan Yang, Hao Fang, Qin Wang, Dongqun Xu

Abstract read
In one paragraph

Article in China CDC weekly, 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

4 authors.

Xiaoyan YangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Hao FangBeijing Municipal Research Institute of Eco-Environmental Protection, Beijing, China.
Qin WangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Dongqun XuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is actively implementing a health-in-all-policies (HiAP) approach to address complex environmental health risks. Currently, efforts follow two parallel tracks: an environmental management-oriented pilot focusing on risk source control, and a health-promotion-driven pilot aimed at institutionalizing Health Impact Assessment (HIA). Although these initiatives have generated valuable local experiences, they remain hindered by institutional barriers, divergent legal bases, assessment methodologies, and data silos. To achieve genuine integration, this study proposes a three-level fusion pathway that systematically embeds structured health assessments into policy formulation (joint HIA at initiation), spatial planning (health assessment as an approval prerequisite), and project approval (health findings linked to permits and life cycle oversight) processes. By aligning health evidence with existing decision-making frameworks and establishing mandatory cross-sectoral deliberation mechanisms, the proposed pathway seeks to transform HiAP from a concept into actionable governance. The framework is derived from a comparative policy analysis and requires empirical validation through a pilot implementation.

Indexed as

Environmental Health Impact Assessment (EHIA)Health in All Policiesintegration pathway

Identifiers

PMID42273611
PMCPMC13247722

What OpenQuestion holds

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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.