Evidence map›Paper›PMID 40342955›Full record

ArticleJournal of health & pollution2024

Association of Short-Term Exposure to Air Pollution with Depression in Patients with Asthma: A Cross-Sectional Study in Delhi, India.

Vansh Maheshwari, Preeti Negandhi, Vikram Jaggi, Supreet Batra, Poornima Prabhakaran, Jyothi S Menon

Abstract read
In one paragraph

Article in Journal of health & pollution, 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. Review
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

6 authors.

Vansh MaheshwariIndian Institute of Public Health-Delhi, Public Health Foundation of India, Delhi, India.ORCID https://orcid.org/0000-0002-8723-5843
Preeti NegandhiIndian Institute of Public Health-Delhi, Public Health Foundation of India, Delhi, India.
Vikram JaggiAsthma Chest & Allergy Centre, Delhi, India.
Supreet BatraBatra Hospital and Medical Research Centre, Delhi, India.
Poornima PrabhakaranCentre for Health Analytics Research and Trends, Trivedi School of Biosciences, Ashoka University, Haryana, India.
Jyothi S MenonCentre for Health Analytics Research and Trends, Trivedi School of Biosciences, Ashoka University, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with asthma are a population at risk for depression and subsequent mental health risks. Previous studies have suggested that exposure to air pollution is associated with lower asthma control and a higher risk of depression. There is limited evidence on the effect of short-term exposure to air pollution on mental health in susceptible populations, such as patients with asthma. Objectives: The objective of the present study was to assess the association between short-term exposure ( Methods: This hospital-based cross-sectional study included 151 consecutively recruited 18- to 65-y-old patients with asthma from two sites in Delhi, India. The Asthma Control Test and the Patient Health Questionnaire-9 were respectively used to assess asthma control and depression status. Data on particulate matter [PM Results: Among all participants, 58.3% exhibited depression, and 73.5% had uncontrolled asthma. Adjusted ordinal regression revealed significant associations of Conclusions: Our study shows that greater short-term exposure to air pollution may be associated with increased odds of depression and uncontrolled asthma in patients with asthma. Further studies are required to replicate our results and confirm this association. https://doi.org/10.1289/JHP1003.

Identifiers

PMID40342955
PMCPMC12061261

What OpenQuestion holds

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Registered trials

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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.