Literature DB >> 11994091

Pollutional and meteorological factors are closely related to complaints of non-allergic, non-infectious perennial rhinitis patients: a time series model.

J P M Braat1, P G Mulder, H J Duivenvoorden, R Gerth Van Wijk, E Rijntjes, W J Fokkens.   

Abstract

BACKGROUND: Epidemiological studies in the past have focused on meteorological conditions, pollution and pollen and their relationship with symptoms of bronchial hyper-reactivity, however, there are no epidemiological studies which examine a wide range of such factors and determine their role in nasal hyper-reactivity.
OBJECTIVE: To investigate whether environmental factors can influence symptomatology in non-allergic non-infectious perennial rhinitis (NANIPER) patients, who suffer primarily from nasal hyper-reactivity symptoms.
METHODS: We studied 16 non-smoking NANIPER patients and seven non-smoking controls during a 218-day study period (March-October) by means of daily symptom scores and visual analogue scales for the subsets patency, secretions and sneezing, and compared them to seven primary factors which affected 'symptoms' and 10 secondary factors which affected primary factors only.
RESULTS: The mean symptom scores in the NANIPER and control groups were 2.17 and 0.13, respectively. In NANIPER, the highest correlations of primary factors with symptomatology were found for symptom scores and sneezing with minimum daytime temperature (r = -0.62 and -0.45, respectively), ozone and NO concentrations. Patency and secretions were associated with minimum daytime temperature (r = -0.39 and 0.32, respectively). Time series analysis, however, correcting for several confounders such as autocorrelated symptomatology, showed that minimum daytime temperature and daytime relative humidity made an independent contribution to symptoms. In the control group, correlations were much lower, though present. Time series analysis was not possible.
CONCLUSIONS: We conclude that in a mild climate with relatively low levels of pollution, minor pollution and meteorological disturbances result in substantial changes in nasal reactivity symptoms in NANIPER patients, but not controls, irrespective of other factors such as allergy or infection.

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Year:  2002        PMID: 11994091     DOI: 10.1046/j.1365-2222.2002.01359.x

Source DB:  PubMed          Journal:  Clin Exp Allergy        ISSN: 0954-7894            Impact factor:   5.018


  4 in total

1.  Non allergic rhinitis: prevalence, clinical profile and knowledge gaps in literature.

Authors:  Deepa Bhargava; Kamlesh Bhargava; Ahmed Al-Abri; Wameedh Al-Bassam; Rashid Al-Abri
Journal:  Oman Med J       Date:  2011-11

2.  Determination of vulnerable regions of SARS-CoV-2 in Malaysia using meteorology and air quality data.

Authors:  Prasanna Mohan Viswanathan; Chidambaram Sabarathinam; Shankar Karuppannan; Gnanachandrasamy Gopalakrishnan
Journal:  Environ Dev Sustain       Date:  2021-08-10       Impact factor: 4.080

Review 3.  POLLAR: Impact of air POLLution on Asthma and Rhinitis; a European Institute of Innovation and Technology Health (EIT Health) project.

Authors:  Jean Bousquet; Josep M Anto; Isabella Annesi-Maesano; Toni Dedeu; Eve Dupas; Jean-Louis Pépin; Landry Stephane Zeng Eyindanga; Sylvie Arnavielhe; Julia Ayache; Xavier Basagana; Samuel Benveniste; Nuria Calves Venturos; Hing Kin Chan; Mehdi Cheraitia; Yves Dauvilliers; Judith Garcia-Aymerich; Ingrid Jullian-Desayes; Chitra Dinesh; Daniel Laune; Jade Lu Dac; Ismael Nujurally; Giovanni Pau; Robert Picard; Xavier Rodo; Renaud Tamisier; Michael Bewick; Nils E Billo; Wienczyslawa Czarlewski; Joao Fonseca; Ludger Klimek; Oliver Pfaar; Jean-Marc Bourez
Journal:  Clin Transl Allergy       Date:  2018-09-17       Impact factor: 5.871

4.  Impact of Air Pollutants and Pollen on the Severity of Nonallergic Rhinitis: A Data-Oriented Analysis.

Authors:  Yanran Huang; Yuan Zhang; Jiajia Wang; Xiaobo Li; Chengshuo Wang; Rui Chen; Luo Zhang
Journal:  J Asthma Allergy       Date:  2022-08-06
  4 in total

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