ArticleJournal of evaluation in clinical practice2025
The impact of climate change anxiety on premenstrual syndrome: A cross-sectional study.
Article in Journal of evaluation in clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Article
- The association between women's climate change anxiety, awareness of maternal-fetal health impacts, and their desire to avoid pregnancy.BMC public health · 2026Article
- Association between climate change awareness-related psychological distress and mental health in people with psychiatric diagnoses or subclinical symptoms: a scoping review.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Assessing the Presence of Eco-Anxiety in the General Population: A Systematic Review, Meta-Analysis and Meta-Regression.Healthcare (Basel, Switzerland) · 2025Review
- The impact of climate change anxiety on premenstrual syndrome: A cross-sectional study.Journal of evaluation in clinical practice · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveClimate change is thought to have possible effects on changes in the menstruation process, which covers an important period of time in women's lives. Our study aimed to determine the impact of climate change anxiety on premenstrual syndrome (PMS) in women of reproductive age.
methodsThis is a cross-sectional study. The research was conducted online using various digital platforms between December 2023 and February 2024. This study was conducted on 456 women of reproductive age. The Personal Information Form, PMS Scale and Eco-Anxiety Scale were used for the data collection. The level of statistical significance was set at p < 0.05.
resultsThe prevalence of PMS was 44.7%. The average score for the Eco-Anxiety Scale was 27.28 ± 6.44. A significant majority of participants (81.4%) stated that climate change would affect women's health, and 81.1% thought that they were affected by climate change. The Eco-Anxiety Scale scores were higher in women with PMS (p < 0.05). The results of the binary logistic regression analysis showed that being affected by climate change (odds ratio [OR] = 2.109, 95% confidence interval [CI] = 1.045-4.259, p = 0.035), age at menarche (OR = 1.249, 95% Cl = 1.073-1.453, p = 0.004) and Eco-Anxiety Scale scores were significant predictors of PMS (OR = 0.828, 95% Cl = 0.791-0.867, p < 0.001).
conclusionThe results of our study showed that women with PMS had higher Eco-Anxiety Scale scores. Given the global effects of climate change, it is important to investigate its effects as a risk factor for the emergence of PMS. Furthermore, women's healthcare providers play an important and beneficial role in adapting to a changing climate; these efforts will have long-term impacts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.