Evidence map›Paper›PMID 42568700›Full record

ArticleFrontiers in public health2026

From adaptation to overload: how climate risks affect public health?-evidence from China.

Shuai Liang, Huanhuan Jiang, Peng Wang, Maomao Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 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.

Shuai Liang *School of Applied Economics, Guizhou University of Finance and Economics, Guiyang, China.
Huanhuan Jiang *School of Applied Economics, Guizhou University of Finance and Economics, Guiyang, China.
Peng WangWestern Modernization Research Center, Guizhou University of Finance and Economics, Guiyang, China.
Maomao ZhangCollege of Public Administration, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate risks (CR), particularly extreme climatic events, are systematically threatening global public health (PH). However, most of the existing studies focus on the linear relationship between a single climate factor and health outcomes, lack in-depth investigation of the nonlinear relationship between the two, and pay little attention to the multi-dimensional adjustment of socio-economic factors. This paper collects panel data of 30 provinces in China from 2011 to 2023, uses ArcGIS and the quantile method to visualize the spatial and temporal evolution pattern of provincial CR and PH. By constructing a province-year fixed effect model with a square term and a moderating effect model, the nonlinear relationship between the two is systematically explored, and the moderating mechanism and heterogeneity of different social factors are identified. The results show that the response of PH to CR is first actively adapted and then significantly inhibited, showing a significant inverted U-shaped relationship. Digital inclusive finance (DIF) and residents' income level (RI) make the inverted U-shaped curve steeper and push the inflection point to the right, showing the characteristics of efficiency-enhanced adjustment; the energy structure optimization (ESO) makes the curve more gentle and the inflection point move to the left, which is manifested as risk-releasing regulation. According to heterogeneity analysis, environmental regulations intensity and green spaces construction have mitigated the health impacts of CR through buffering effects, while green technological innovation has contributed to the manifestation of the inverted U-shaped relationship. This study confirms the existence of an adaptive threshold in the climate-health system resilience, and elucidates three distinct moderating pathways-financial resilience, economic resources, and energy infrastructure-each operating through different mechanisms.

Indexed as

Climate ChangePublic HealthChinaHumansSocioeconomic Factorsclimate riskdigital financial inclusionenergy structure optimizationnonlinear relationshippublic health

Identifiers

PMID42568700
PMCPMC13447503

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.