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Socioeconomic-related determinants of asthma in the elderly

INTRODUCTION: As the population ages, the impact of asthma in the elderly is expected to be enhanced over the forthcoming decades. We investigated the prevalence of asthma and its socioeconomic factors in the elderly, Shiraz, Iran. METHODS: In this population-based study, 1527 subjects older than 60...

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Autores principales: MAHDAVIAZAD, HAMIDEH, SHAHROKHI, SHERVINDOKHT, MASOOMPUR, SEYED MASOOM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pacini Editore Srl 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888395/
https://www.ncbi.nlm.nih.gov/pubmed/33628964
http://dx.doi.org/10.15167/2421-4248/jpmh2020.61.4.1512
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author MAHDAVIAZAD, HAMIDEH
SHAHROKHI, SHERVINDOKHT
MASOOMPUR, SEYED MASOOM
author_facet MAHDAVIAZAD, HAMIDEH
SHAHROKHI, SHERVINDOKHT
MASOOMPUR, SEYED MASOOM
author_sort MAHDAVIAZAD, HAMIDEH
collection PubMed
description INTRODUCTION: As the population ages, the impact of asthma in the elderly is expected to be enhanced over the forthcoming decades. We investigated the prevalence of asthma and its socioeconomic factors in the elderly, Shiraz, Iran. METHODS: In this population-based study, 1527 subjects older than 60 years were selected based on the stratified random sampling method. The data on asthma symptoms, current asthma, physician diagnose asthma, and allergic rhinitis were collected using the translated ECRHS (European Community Respiratory Health Survey) questionnaire. Information on individual socioeconomic status was derived from the participants’ self-reported educational level and their occupation, income, and residence. A p-value of less than 0.05 was considered to be statistically significant. RESULTS: The prevalence of asthma, current asthma, physician diagnose asthma, and allergic rhinitis was found to be 8.97, 6.81, 4.78 and, 23.51%, respectively. The most common asthma symptoms were nocturnal chest tightness (15.52%, n = 237/1,527). In univariate analysis, the prevalence of asthma was higher in illiterate patients (12.7%), subjects with the lowest income level (10.6%), and patients living in urban areas (24.1%). Having age more than 80 (OR = 2.01; 95% CI = 1.10-3.65), being a current smoker (OR = 2.76; 95% CI = 1.69-4.51) and living in a suburban area (OR = 3.01; 95% CI = 1.20-7.50) were significant predictive factors for asthma in the regression model. CONCLUSIONS: Asthma and allergic rhinitis in the elderly should be more focus in the southwest of Iran. Moreover, our findings highlighted the effect of socio- economic status, disparities and inequality on community health.
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spelling pubmed-78883952021-02-23 Socioeconomic-related determinants of asthma in the elderly MAHDAVIAZAD, HAMIDEH SHAHROKHI, SHERVINDOKHT MASOOMPUR, SEYED MASOOM J Prev Med Hyg Original Article INTRODUCTION: As the population ages, the impact of asthma in the elderly is expected to be enhanced over the forthcoming decades. We investigated the prevalence of asthma and its socioeconomic factors in the elderly, Shiraz, Iran. METHODS: In this population-based study, 1527 subjects older than 60 years were selected based on the stratified random sampling method. The data on asthma symptoms, current asthma, physician diagnose asthma, and allergic rhinitis were collected using the translated ECRHS (European Community Respiratory Health Survey) questionnaire. Information on individual socioeconomic status was derived from the participants’ self-reported educational level and their occupation, income, and residence. A p-value of less than 0.05 was considered to be statistically significant. RESULTS: The prevalence of asthma, current asthma, physician diagnose asthma, and allergic rhinitis was found to be 8.97, 6.81, 4.78 and, 23.51%, respectively. The most common asthma symptoms were nocturnal chest tightness (15.52%, n = 237/1,527). In univariate analysis, the prevalence of asthma was higher in illiterate patients (12.7%), subjects with the lowest income level (10.6%), and patients living in urban areas (24.1%). Having age more than 80 (OR = 2.01; 95% CI = 1.10-3.65), being a current smoker (OR = 2.76; 95% CI = 1.69-4.51) and living in a suburban area (OR = 3.01; 95% CI = 1.20-7.50) were significant predictive factors for asthma in the regression model. CONCLUSIONS: Asthma and allergic rhinitis in the elderly should be more focus in the southwest of Iran. Moreover, our findings highlighted the effect of socio- economic status, disparities and inequality on community health. Pacini Editore Srl 2021-01-14 /pmc/articles/PMC7888395/ /pubmed/33628964 http://dx.doi.org/10.15167/2421-4248/jpmh2020.61.4.1512 Text en ©2020 Pacini Editore SRL, Pisa, Italy https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en This is an open access article distributed in accordance with the CC-BY-NC-ND (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International) license. The article can be used by giving appropriate credit and mentioning the license, but only for non-commercial purposes and only in the original version. For further information: https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
spellingShingle Original Article
MAHDAVIAZAD, HAMIDEH
SHAHROKHI, SHERVINDOKHT
MASOOMPUR, SEYED MASOOM
Socioeconomic-related determinants of asthma in the elderly
title Socioeconomic-related determinants of asthma in the elderly
title_full Socioeconomic-related determinants of asthma in the elderly
title_fullStr Socioeconomic-related determinants of asthma in the elderly
title_full_unstemmed Socioeconomic-related determinants of asthma in the elderly
title_short Socioeconomic-related determinants of asthma in the elderly
title_sort socioeconomic-related determinants of asthma in the elderly
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888395/
https://www.ncbi.nlm.nih.gov/pubmed/33628964
http://dx.doi.org/10.15167/2421-4248/jpmh2020.61.4.1512
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