Evidence map›Paper›PMID 31278168›Full record

SynthesisThorax2019

Urbanisation and asthma in low-income and middle-income countries: a systematic review of the urban-rural differences in asthma prevalence.

Alejandro Rodriguez, Elizabeth Brickley, Laura Rodrigues, Rebecca Alice Normansell, Mauricio Barreto, Philip J Cooper

Abstract readComparative StudySystematic Review
In one paragraph

Synthesis in Thorax, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
–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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Identifying risk factors for COPD and adult-onset asthma: an umbrella review.European respiratory review : an official journal of the European Respiratory Society · 2023
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Implementation of Coach McLungsBMC medical informatics and decision making · 2022
    Trial
  5. Article
  6. Article
  7. Article
  8. Asthma in African children and adolescents: Burden, barriers, and management strategies.African journal of thoracic and critical care medicine · 2026
    Review
  9. Article
  10. Month of birth and outdoor temperature after birth predict childhood atopic diseases in Finland.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Social inequalities in childhood asthma.The World Allergy Organization journal · 2024
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alejandro RodriguezFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK rorodriguezal@uide.edu.ec.ORCID 0000-0002-1867-0331
Elizabeth BrickleyFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Laura RodriguesFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Rebecca Alice NormansellPopulation Health Research Institute, London, UK.
Mauricio BarretoInstituto de Saude Coletiva, Universidad Federal da Bahia, Salvador, Brazil.
Philip J CooperFacultad de Ciencias Médicas de la Salud y la Vida, Universidad Internacional del Ecuador, Quito, Ecuador.

Funding

Wellcome TrustWellcome Trust 072405/Z/03/ZWellcome Trust 088862/Z/09/Z
6 · The paper itself

Abstract

backgroundUrbanisation has been associated with temporal and geographical differences in asthma prevalence in low-income and middle-income countries (LMICs). However, little is known of the mechanisms by which urbanisation and asthma are associated, perhaps explained by the methodological approaches used to assess the urbanisation-asthma relationship.

objectiveThis review evaluated how epidemiological studies have assessed the relationship between asthma and urbanisation in LMICs, and explored urban/rural differences in asthma prevalence.

methodsAsthma studies comparing urban/rural areas, comparing cities and examining intraurban variation were assessed for eligibility. Included publications were evaluated for methodological quality and pooled OR were calculated to indicate the risk of asthma in urban over rural areas.

resultsSeventy articles were included in our analysis. Sixty-three compared asthma prevalence between urban and rural areas, five compared asthma prevalence between cities and two examined intraurban variation in asthma prevalence. Urban residence was associated with a higher prevalence of asthma, regardless of asthma definition: current-wheeze OR:1.46 (95% CI:1.22 to 1.74), doctor diagnosis OR:1.89 (95% CI:1.47 to 2.41), wheeze-ever OR:1.44 (95% CI:1.15 to 1.81), self-reported asthma OR:1.77 (95% CI:1.33 to 2.35), asthma questionnaire OR:1.52 (95% CI:1.06 to 2.16) and exercise challenge OR:1.96 (95% CI:1.32 to 2.91).

conclusionsMost evidence for the relationship between urbanisation and asthma in LMICs comes from studies comparing urban and rural areas. These studies tend to show a greater prevalence of asthma in urban compared to rural populations. However, these studies have been unable to identify which specific characteristics of the urbanisation process may be responsible. An approach to understand how different dimensions of urbanisation, using contextual household and individual indicators, is needed for a better understanding of how urbanisation affects asthma. PROSPERO REGISTRATION NUMBER: CRD42017064470.

Indexed as

UrbanizationAsthmaCitiesDeveloping CountriesHumansPrevalenceRural PopulationUrban PopulationasthmaLMICsurban and rural areasurbanisation

Identifiers

PMID31278168
PMCPMC6860411

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.