Literature DB >> 29420108

Asthma diagnosis among children along an urban-rural gradient.

Oluwafemi Oluwole1,2, Donna C Rennie2,3, Ambikaipakan Senthilselvan4, Roland Dyck2,5, Anna Afanasieva2, Darryl J Adamko6, Joshua A Lawson2,5.   

Abstract

OBJECTIVE: Studies have reported lower asthma prevalence in rural compared to urban areas. While environmental factors have mostly been implicated for these differences, the lower asthma prevalence could also be linked to asthma under-diagnosis in rural children. We investigate if rural children experience under-diagnosis of asthma more compared to urban children.
METHODS: In 2013, we conducted a cross-sectional survey of schoolchildren across an urban-rural gradient in Saskatchewan, Canada. The participants formed sampling frame for future studies. In 2015, we approached those who gave consent in 2013 for further testing, repeated the survey, and conducted clinical testing. Based on survey responses, children were classified into "no asthma," "at-risk-for-asthma," and "diagnosed asthma." We then classified asthma status as either "no asthma" or "probable asthma" based on a validated asthma algorithm.
RESULTS: The study population of 335 schoolchildren (aged 7-17 years) comprised of 73.4% from large urban, 13.7% from small urban, and 12.8% from rural areas. Proportion with report of physician-diagnosed asthma was 28.5% (Large urban), 34.8% (Small urban), and 20.9% (Rural). Mean percent predicted FEV1 and FEF25%-75% were lower in rural compared to small urban and large urban children (p < 0.05). Among those not classified as with "diagnosed asthma" by the survey, the algorithm further identified presence of asthma in 5.5% large urban, 8.1% small urban, and 18.8% rural children (p = 0.03).
CONCLUSION: The study revealed evidence of asthma underdiagnosis in rural areas and further supports the use of objective measures in addition to symptoms history when investigating asthma across urban-rural gradients.

Entities:  

Keywords:  Asthma algorithm; asthma diagnosis; pulmonary function; schoolchildren; urban-rural gradient

Mesh:

Year:  2018        PMID: 29420108     DOI: 10.1080/02770903.2017.1407335

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  2 in total

1.  Urban-Rural Differences in the Epidemiology of Asthma and Allergies in Nigeria: A Population-Based Study.

Authors:  Olufemi O Desalu; Adekunle O Adeoti; Olutobi B Ojuawo; Adeniyi O Aladesanmi; Micheal S Oguntoye; Oluwafemi J Afolayan; Matthew O Bojuwoye; Ademola E Fawibe
Journal:  J Asthma Allergy       Date:  2021-11-10

Review 2.  Challenges in the diagnosis of asthma in children, what are the solutions? A scoping review of 3 countries in sub Saharan Africa.

Authors:  P Magwenzi; S Rusakaniko; E N Sibanda; F Z Gumbo
Journal:  Respir Res       Date:  2022-09-19
  2 in total

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