Evidence map›Paper›PMID 40238289›Full record

ArticleInternational journal of environmental research and public health2025

Stimulating Environmental and Health Protection Through Utilizing Statistical Methods for Climate Resilience and Policy Integration.

Sanaa Kaddoura, Rafiq Hijazi, Nadia Dahmani, Reem Nassar

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Sanaa KaddouraDepartmen of Computing and Applied Technology, College of Technological Innovation, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates.ORCID 0000-0002-4384-4364
Rafiq HijaziDepartment of Mathematics and Statistics, College of Natural and Health Sciences, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates.ORCID 0000-0002-6895-9280
Nadia DahmaniDepartment of Information Systems and Technology Management, College of Technological Innovation, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates.
Reem NassarDepartmen of Computing and Applied Technology, College of Technological Innovation, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change, a critical global challenge, is evident in rising global temperatures, shifting precipitation trends, and extreme weather events, including floods, heatwaves, and rising sea levels. The impacts of climate change not only endanger physical health but also affect mental well-being, particularly among populations experiencing frequent or severe climate-related events. Understanding individual perceptions of climate risks and adaptive capacities is crucial for developing strategies that promote health resilience and environmental protection. This paper examines how risk perceptions, direct experiences with extreme weather, and perceived adaptive capacities influence climate change protection measures and support for relevant policies. Data were gathered from 291 respondents in the United Arab Emirates using structured questionnaires. The data were analyzed using descriptive statistics, reliability analysis, Cronbach's alpha, Spearman correlation analysis, and multiple regression analysis to determine key predictors of policy support. The results indicate that age is positively correlated with policy support (

Indexed as

Climate ChangeAdolescentAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited Arab EmiratesYoung Adultclimate change policyclimate risk perceptionextreme weather eventsperceived adaptive capacitysustainability and adaptation

Identifiers

PMID40238289
PMCPMC11942617

What OpenQuestion 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 OpenQuestion graph.