Risk factors for asthma among schoolchildren who participated in a case-control study in urban Uganda
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Uganda
- London School of Hygiene and Tropical Medicine, United Kingdom
Abstract
Data on asthma aetiology in Africa are scarce. We investigated the risk factors for asthma among schoolchildren (5-17years) in urban Uganda. We conducted a case-control study, among 555 cases and 1,115 controls. Asthma was diagnosed by study clinicians. The main risk factors for asthma were tertiary education for fathers [adjusted OR (95% CI); 2.32 (1.71-3.16)] and mothers [1.85 (1.38-2.48)]; area of residence at birth, with children born in a small town or in the city having an increased asthma risk compared to schoolchildren born in rural areas [2.16 (1.60-2.92)] and [2.79 (1.79-4.35)], respectively; father's and mother's history of asthma; children's own allergic conditions; atopy; and cooking on gas/electricity. In conclusion, asthma was associated with a strong rural-town-city risk gradient, higher parental socio-economic status and urbanicity. This work provides the basis for future studies to identify specific environmental/lifestyle factors responsible for increasing asthma risk among children in urban areas in LMICs.
Data availability
Data is available at https://datacompass.lshtm.ac.uk/1369/
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SONA project - Asthma risk factors dataLondon School of Hygiene & Tropical Medicine (LSHTM) Data Compass, https://doi.org/10.17037/DATA.00001369.
Article and author information
Author details
Gyaviira Nkurunungi
Funding
Wellcome (Training fellowship 102512)
- Harriet Mpairwe
Wellcome (Senior fellowship 095778)
- Alison M Elliott
European research council (Project grant 668954)
- Neil Pearce
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: Parents or guardians of the children provided written informed consent, and children eight years or older provided written informed assent. This consent was to participate in the study, and to publish anonymous results.The study was approved by the Uganda Virus Research Institute Research and Ethics Committee, and the Uganda National Council for Science and Technology [reference number HS 1707]. The two bodies follow Good Clinical Practice guidelines.
Reviewing Editor
- Belinda Nicolau, McGill University, Canada
Version history
- Received: June 19, 2019
- Accepted: November 13, 2019
- Accepted Manuscript published: November 15, 2019 (version 1)
- Version of Record published: December 16, 2019 (version 2)
Copyright
© 2019, Mpairwe et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Risk factors for asthma among schoolchildren who participated in a case-control study in urban Uganda
eLife 8:e49496.
https://doi.org/10.7554/eLife.49496
Further reading
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- Epidemiology and Global Health
Background:
In most of the world, the mammography screening programmes were paused at the start of the pandemic, whilst mammography screening continued in Denmark. We examined the mammography screening participation during the COVID-19 pandemic in Denmark.
Methods:
The study population comprised all women aged 50–69 years old invited to participate in mammography screening from 2016 to 2021 in Denmark based on data from the Danish Quality Database for Mammography Screening in combination with population-based registries. Using a generalised linear model, we estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) of mammography screening participation within 90, 180, and 365 d since invitation during the pandemic in comparison with the previous years adjusting for age, year and month of invitation.
Results:
The study comprised 1,828,791 invitations among 847,766 women. Before the pandemic, 80.2% of invitations resulted in participation in mammography screening within 90 d, 82.7% within 180 d, and 83.1% within 365 d. At the start of the pandemic, the participation in screening within 90 d was reduced to 69.9% for those invited in pre-lockdown and to 76.5% for those invited in first lockdown. Extending the length of follow-up time to 365 d only a minor overall reduction was observed (PR = 0.94; 95% CI: 0.93–0.95 in pre-lockdown and PR = 0.97; 95% CI: 0.96–0.97 in first lockdown). A lower participation was, however, seen among immigrants and among women with a low income.
Conclusions:
The short-term participation in mammography screening was reduced at the start of the pandemic, whilst only a minor reduction in the overall participation was observed with longer follow-up time, indicating that women postponed screening. Some groups of women, nonetheless, had a lower participation, indicating that the social inequity in screening participation was exacerbated during the pandemic.
Funding:
The study was funded by the Danish Cancer Society Scientific Committee (grant number R321-A17417) and the Danish regions.
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- Epidemiology and Global Health
- Genetics and Genomics
Accurate inference of who infected whom in an infectious disease outbreak is critical for the delivery of effective infection prevention and control. The increased resolution of pathogen whole-genome sequencing has significantly improved our ability to infer transmission events. Despite this, transmission inference often remains limited by the lack of genomic variation between the source case and infected contacts. Although within-host genetic diversity is common among a wide variety of pathogens, conventional whole-genome sequencing phylogenetic approaches exclusively use consensus sequences, which consider only the most prevalent nucleotide at each position and therefore fail to capture low frequency variation within samples. We hypothesized that including within-sample variation in a phylogenetic model would help to identify who infected whom in instances in which this was previously impossible. Using whole-genome sequences from SARS-CoV-2 multi-institutional outbreaks as an example, we show how within-sample diversity is partially maintained among repeated serial samples from the same host, it can transmitted between those cases with known epidemiological links, and how this improves phylogenetic inference and our understanding of who infected whom. Our technique is applicable to other infectious diseases and has immediate clinical utility in infection prevention and control.
