ReviewDialogues in health2026
Heat, menstruation, and mental health in adolescence and young adulthood: Understudied in climate-health research.
Review in Dialogues in 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.
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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.
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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.
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0 citing papers in PubMed.
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ambient heat is an escalating climate-related hazard, yet its implications for menstruation and adolescent and young adult mental health remain understudied. Menstruating individuals face unique physiological and psychosocial challenges that may be intensified in the presence of heat stress. These challenges can be further shaped by stigma, period poverty, and developmental vulnerability, with potential implications for depression, anxiety, and psychological wellbeing. Heat exposure may disrupt thermoregulation, exacerbate menstrual symptoms, and heighten psychological stress, but the combined effects of these processes remain poorly understood. In this critical narrative review, we: draw together evidence from multiple disciplines on biological, psychological, and structural pathways linking heat exposure, menstruation, and mental health. We identify important research gaps and propose a conceptual framework and gender-responsive research agenda to inform equitable climate-resilient health strategies.
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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.