Literature DB >> 30499030

Excess of children's outpatient consultations due to asthma and bronchitis and the association between meteorological variables in Canoas City, Southern Brazil.

Igor Rojahn da Silva1, Anderson Spohr Nedel2, Júlio Renato Quevedo Marques2, Luciano Ritter Nolasco Júnior2.   

Abstract

The southern Brazilian city of Canoas, situated in the metropolitan region of Porto Alegre, is subject to several annual meteorological phenomena, such as cold fronts and squall lines. Here, we assess the relationship between meteorological conditions and outpatient consultations for asthma or bronchitis in children from Canoas City. Data from outpatient consultations of children (below 9 years), between January/2005 and September/2008, were combined with daily meteorological data from 12UTC (morning) and 18UTC (afternoon). We identified 42 days with an excess of outpatient consultations (peaks). Consultations were negatively correlated with temperature and human thermal comfort index (HTCI) from the 3 previous days based on consultation data at 12 and 18UTC, and positively correlated with atmospheric pressure. A positive correlation with relative humidity was significant only at 12UTC. The highest correlations occurred on the day of consultation (12UTC) with temperature, relative humidity, and atmospheric pressure, as well as 2 days previous to the HTCI. The sensation of cold was associated with about 55% of the days of the period at 12UTC: considering only the peaks of consultations, this association exceeds 90% of days. The highest frequencies of respiratory complications (June, July, and August) were associated with negative temperature anomalies, wind speed and direction, and positive anomalies in relative humidity and atmospheric pressure. Nearly half (45%) of the air masses associated with respiratory complications arrived at Canoas from a SW direction, 19% from the south and 14% from the west. In summary, observed increases in respiratory complications were mainly associated with the presence of cold and humid air (and/or falling temperature with increasing humidity) in the morning.

Entities:  

Keywords:  Air mass; Cold; High pressure system; Respiratory diseases

Mesh:

Year:  2018        PMID: 30499030     DOI: 10.1007/s00484-018-1650-z

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  10 in total

1.  Daily hospital respiratory admissions and winter air mass types, Birmingham, UK.

Authors:  G R McGregor; S Walters; J Wordley
Journal:  Int J Biometeorol       Date:  1999-07       Impact factor: 3.787

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3.  [Acute disease of the lower airways in children under five years of age: role of domestic environment and maternal cigarette smoking].

Authors:  Silvio O M Prietsch; Gilberto B Fischer; Juraci A César; Alisson R Fabris; Halid Mehanna; Tissyanna H P Ferreira; Leopoldo A Scheifer
Journal:  J Pediatr (Rio J)       Date:  2002 Sep-Oct       Impact factor: 2.197

4.  A respiratory alert model for the Shenandoah Valley, Virginia, USA.

Authors:  David M Hondula; Robert E Davis; David B Knight; Luke J Sitka; Kyle Enfield; Stephen B Gawtry; Phillip J Stenger; Michael L Deaton; Caroline P Normile; Temple R Lee
Journal:  Int J Biometeorol       Date:  2012-03-22       Impact factor: 3.787

5.  Study of the relationships between weather conditions and the marathon race, and of meteorotropic effects on distance runners.

Authors:  S Zhang; G Meng; Y Wang; J Li
Journal:  Int J Biometeorol       Date:  1992-05       Impact factor: 3.787

6.  A synoptic evaluation of asthma hospital admissions in New York City.

Authors:  P F Jamason; L S Kalkstein; P J Gergen
Journal:  Am J Respir Crit Care Med       Date:  1997-12       Impact factor: 21.405

7.  Distinct atmospheric patterns and associations with acute heat-induced mortality in five regions of England.

Authors:  Ilias Petrou; Konstantinos Dimitriou; Pavlos Kassomenos
Journal:  Int J Biometeorol       Date:  2015-01-21       Impact factor: 3.787

Review 8.  Meteorotropy and medical-meteorological forecasts.

Authors:  K Bucher; C Haase
Journal:  Experientia       Date:  1993-09-15

9.  The effects of air pollution and meteorological parameters on respiratory morbidity during the summer in São Paulo City.

Authors:  F L T Gonçalves; L M V Carvalho; F C Conde; M R D O Latorre; P H N Saldiva; A L F Braga
Journal:  Environ Int       Date:  2005-04       Impact factor: 9.621

10.  Biometeorological classification of daily weather types for the humid tropics.

Authors:  L B Lecha Estela
Journal:  Int J Biometeorol       Date:  1998-12       Impact factor: 3.787

  10 in total
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2.  The response ranges of pulmonary function and the impact criteria of weather and industrial influence on patients with asthma living in Vladivostok.

Authors:  Lyudmila V Veremchuk; Elena E Mineeva; Tatyana I Vitkina; Elena A Grigorieva; Tatyana A Gvozdenko; Kirill S Golokhvast
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  2 in total

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