Evidence map›Paper›PMID 37064421›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2023

Exposure-response relationship of residential dampness and mold damage with severe lower respiratory tract infections among under-five children in Nigeria.

Adekunle Gregory Fakunle, Nkosana Jafta, Akinkunmi Paul Okekunle, Lidwien A M Smit, Rajen N Naidoo

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

5 authors.

Adekunle Gregory FakunleDepartment of Public Health, College of Health Sciences. Osun State University, Osogbo, Nigeria, Osogbo, Nigeria.ORCID https://orcid.org/0000-0001-8391-9394
Nkosana JaftaDiscipline of Occupational and Environmental Health, University of KwaZulu-Natal, Durban, South Africa.
Akinkunmi Paul OkekunleDepartment of Food and Nutrition, Seoul National University, Seoul, Korea.ORCID https://orcid.org/0000-0003-4825-4934
Lidwien A M SmitInstitute for Risk Assessment Sciences (IRAS), Utrecht University, The Netherlands.
Rajen N NaidooDiscipline of Occupational and Environmental Health, University of KwaZulu-Natal, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous epidemiological studies demonstrated an increased risk of respiratory health effects in children and adults exposed to dampness or mold. This study investigated associations of quantitative indicators of indoor dampness and mold exposure with severe lower respiratory tract infections (LRTI) among children aged 1-59 months in Ibadan, Nigeria. Methods: In-home visits were conducted among 178 children hospitalized with LRTI matched by age (±3 months), sex, and geographical location with 180 community-based children without LRTI. Trained study staff evaluated the indoor environment using a standardized home walkthrough checklist and measured visible dampness and mold damage. Damp-moldy Index (DMI) was also estimated to quantify the level of exposure. Exposure-response relationships of dampness and mold exposure with severe LRTI were assessed using multivariable restricted cubic spline regression models adjusting for relevant child, housing, and environmental characteristics. Results: Severe LRTI cases were more often male than female (61.8%), and the overall mean (SD) age was 7.3 (1.35) months. Children exposed to dampness <0.3 m Conclusions: Residential dampness and DMI were exposure-dependently associated with higher odds of severe LRTI among under-five children. If observed relationships were causal, public health intervention strategies targeted at reducing residential dampness are critically important to mitigate the burden of severe LRTI among under-five children.

Indexed as

Dampnessepidemiologylower respiratory tract infectionsmold exposureNigeriaunder-five children

Identifiers

PMID37064421
PMCPMC10097558

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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.