Evidence map›Paper›PMID 39058715›Full record

ArticlePLOS global public health2024

Incidence of cough from acute exposure to fine particulate matter (PM2.5) in Madagascar: A pilot study.

Alexandra J Zimmer, Lai Yu Tsang, Gisèle Jolicoeur, Bouchra Tannir, Emmanuelle Batisse, Christine Pando, Gouri Sadananda, Jesse McKinney, Ideal Vincent Ambinintsoa, Roger Mario Rabetombosoa and 6 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

16 authors.

Alexandra J ZimmerDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0002-6047-0923
Lai Yu TsangGlobal Health Institute, Stony Brook University, Stony Brook, New York, United States of America.
Gisèle JolicoeurImmunopathology Axis, Centre de Recherche du Centre Hospitalier de l'Université de Montreal, Montreal, Canada.ORCID https://orcid.org/0009-0003-4919-3149
Bouchra TannirImmunopathology Axis, Centre de Recherche du Centre Hospitalier de l'Université de Montreal, Montreal, Canada.
Emmanuelle BatisseDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0002-0629-3356
Christine PandoGlobal Health Institute, Stony Brook University, Stony Brook, New York, United States of America.ORCID https://orcid.org/0000-0003-1652-6819
Gouri SadanandaDepartment of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.
Jesse McKinneyGlobal Health Institute, Stony Brook University, Stony Brook, New York, United States of America.
Ideal Vincent AmbinintsoaCentre ValBio Research Station, Ranomafana, Madagascar.
Roger Mario RabetombosoaCentre ValBio Research Station, Ranomafana, Madagascar.
Astrid M KnoblauchMycobacteriology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Niaina RakotosamimananaMycobacteriology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Ryan ChartierRTI International, Research Triangle Park, North Carolina, United States of America.
Alina DiachenkoImmunopathology Axis, Centre de Recherche du Centre Hospitalier de l'Université de Montreal, Montreal, Canada.
Peter SmallGlobal Health Institute, Stony Brook University, Stony Brook, New York, United States of America.
Simon Grandjean LapierreMcGill International TB Centre, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0003-3646-1573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prolonged exposure to fine particulate matter (PM2.5) is a known risk to respiratory health, causing chronic lung impairment. Yet, the immediate, acute effects of PM2.5 exposure on respiratory symptoms, such as cough, are less understood. This pilot study aims to investigate this relationship using objective PM2.5 and cough monitors. Fifteen participants from rural Madagascar were followed for three days, equipped with an RTI Enhanced Children's MicroPEM PM2.5 sensor and a smartphone with the ResApp Cough Counting Software application. Univariable Generalized Estimating Equation (GEE) models were applied to measure the association between hourly PM2.5 exposure and cough counts. Peaks in both PM2.5 concentration and cough frequency were observed during the day. A 10-fold increase in hourly PM2.5 concentration corresponded to a 39% increase in same-hour cough frequency (incidence rate ratio (IRR) = 1.40; 95% CI: 1.12, 1.74). The strength of this association decreased with a one-hour lag between PM2.5 exposure and cough frequency (IRR = 1.21; 95% CI: 1.01, 1.44) and was not significant with a two-hour lag (IRR = 0.93; 95% CI: 0.71, 1.23). This study demonstrates the feasibility of objective PM2.5 and cough monitoring in remote settings. An association between hourly PM2.5 exposure and cough frequency was detected, suggesting that PM2.5 exposure may have immediate effects on respiratory health. Further investigation is necessary in larger studies to substantiate these findings and understand the broader implications.

Identifiers

PMID39058715
PMCPMC11280240

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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.