ArticleJournal of Korean medical science2020
Effects of Particulate Respirator Use on Cardiopulmonary Function in Elderly Women: a Quasi-Experimental Study.
Article in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled 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.
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
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Pooled it
- Effects of respirators to reduce fine particulate matter exposures on blood pressure and heart rate variability: A systematic review and meta-analysis.Environmental pollution (Barking, Essex : 1987) · 2022Pooled it
- [Mitigating the Health Effects of Particulate Matter: A Narrative Review of Intervention Studies].Jugan geon-gang gwa jilbyeong · 2025Review
- Effects of Cognitive Behavioral Therapy-Based Educational Intervention Addressing Fine Particulate Matter Exposure on the Mental Health of Elementary School Children.Children (Basel, Switzerland) · 2025Article
- Association between Prenatal Particulate Matter Exposure and Neuropsychiatric Disorders Development.Biomolecules & therapeutics · 2025Review
- [Trends in Intervention Research for Reducing Health Effects of Particulate Matter].Jugan geon-gang gwa jilbyeong · 2023Review
- Decrease in Ambient Fine Particulate Matter during COVID-19 Crisis and Corresponding Health Benefits in Seoul, Korea.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundIndividual particulate respirator use may offer protection against exposure to particulate matter < 2.5 μm in diameter (PM
methodsRecruited in Seoul, Korea, 21 elderly, non-smoking women wore particulate respirators for six consecutive days (exlcuding time spent eating, sleeping, and bathing). We measured resting blood pressure before, during, and after respirator use and recorded systolic and diastolic blood pressure, mean arterial blood pressure, pulse pressure, and lung function. We also measured 12-hour ambulatory blood pressure at the end of the 6-day long experiment and control periods. Additionally, we examined physiological stress (heart rate variability and urinary 8-hydroxy-2'-deoxyguanosine) while wearing the particulate respirators. Person- and exposure-level covariates were also considered in the model.
resultsAfter the 6-day period of respirator use, resting blood pressure was reduced by 5.3 mmHg for systolic blood pressure (
conclusionIndividual particulate respirator use may prevent PM2.5-induced blood-pressure elevation among elderly Korean women. However, the effects of particulate respirator use, including physiological stress marker elevation, should also be considered.
trial registrationClinical Research Information Service Identifier: KCT0003526.
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.