Asthma and its related socioeconomic factors: The Shiraz Adult Respiratory Disease Study 2015

Masoompour, Seyed Masoom; Mahdaviazad, Hamideh; Ghayumi, Mohammad Ali

doi:10.1111/crj.12780

Cited by 12 publications

(12 citation statements)

References 32 publications

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“…The association between gender and asthma was reported in 75 studies [ 16 , 18 , 19 , 21 , 22 , 33 , 35 , 37 , 38 , 40 , 42 , 43 , 47 , 49 , 56 , 58 , 62 , 67 , 70 , 71 , 73 , 74 , 79 , 82 – 87 , 92 , 93 , 95 , 97 , 99 , 104 , 105 , 107 , 110 , 116 , 118 , 120 , 122 , 124 – 127 , 130 , 131 , 133 , 135 – 137 , 139 , 142 , 159 , 170 , 179 , 184 – 201 ]. Of these, 58 studies have observed male subjects having a higher asthma susceptibility as compared with that of the female subjects significantly [ 16 , 18 , 22 , 37 , 38 , 40 , 47 , 56 , 58 , 62 , 67 , 70 , 71 , 73 , 74 , …”

Section: Resultsmentioning

confidence: 99%

“…The effect of passive cigarette smoke exposure on the risk of asthma was frequently studied in Asia (63 studies) [ 19 , 27 , 36 , 38 , 40 , 43 , 52 – 54 , 58 , 60 , 62 , 66 , 67 , 70 , 73 , 77 – 79 , 87 , 90 , 92 , 93 , 100 , 101 , 104 , 105 , 107 , 111 , 114 , 116 , 119 , 120 , 124 , 125 , 135 , 136 , 139 , 142 , 145 , 147 , 148 , 160 , 162 , 168 , 170 , 172 , 179 , 182 , 183 , 198 – 200 , 202 – 210 ]. These studies have used different analytical methods to assess its influence on the susceptibility to asthma, including the number of cigarettes exposed per day [ 27 , 54 , 100 , 120 , 160 , 208 ], the number of persons smoking in the house [ 53 , 105 , 114 , 207 ], smoking in the presence of the subject [ 168 ], the duration of exposure […”

Section: Resultsmentioning

confidence: 99%

“…These studies have used different analytical methods to assess its influence on the susceptibility to asthma, including the number of cigarettes exposed per day [ 27 , 54 , 100 , 120 , 160 , 208 ], the number of persons smoking in the house [ 53 , 105 , 114 , 207 ], smoking in the presence of the subject [ 168 ], the duration of exposure [ 93 , 160 , 168 , 207 ], the exposure during mother’s pregnancy [ 52 , 60 , 104 , 111 , 160 , 168 ], the avoidance of cigarette smoke exposure [ 119 ], or the presence of father, mother, or any family member who is a smoker [ 67 , 116 , 124 , 147 , 148 , 206 ]. We included findings from 21 studies in the random-effect meta-analysis for the overall associations of passive cigarette smoke exposure with asthma [ 19 , 43 , 62 , 66 , 77 , 90 , 92 , 101 , 107 , 111 , 127 , 136 , 142 , 162 , 170 , 179 , 183 , 202 – 205 ]. In this meta-analysis, the combined risk estimate for asthma was significantly increased (pooled OR = 1.44, 95% CI : 1.30–1.60, I 2 = 92.9%, heterogeneity p value < 0.001; Fig.…”

Section: Resultsmentioning

confidence: 99%

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Risk factors of asthma in the Asian population: a systematic review and meta-analysis

Sio

Chew

2021

J Physiol Anthropol

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Background and objective An increasing trend of asthma prevalence was observed in Asia; however, contributions of environmental and host-related risk factors to the development of this disease remain uncertain. This study aimed to perform a systematic review and meta-analysis for asthma-associated risk factors reported in Asia. Methods We systematically searched three public databases (Web of Science, PubMed, and Scopus) in Feb 2021. We only included articles that reported environmental and host-related risk factors associated with asthma in the Asian population. Random-effect meta-analyses were conducted for frequently reported asthma-associated risk factors to provide an overall risk estimate of asthma development. Results Of 4030 records obtained from public databases, 289 articles were selected for review. The most frequently reported asthma-associated risk factor was the family history of allergy-related conditions. The random-effect asthma risk estimates (pooled odds ratio, OR) were 4.66 (95% confidence interval (CI): 3.73–5.82) for the family history of asthma, 3.50 (95% CI: 2.62–4.67) for the family history of atopy, 3.57 (95% CI: 3.03–4.22) for the family history of any allergic diseases, 1.96 (95% CI: 1.47–2.61) for the family history of allergic rhinitis, and 2.75 (95% CI: 1.12–6.76) for the family history of atopic dermatitis. For housing-related factors, including the presence of mold, mold spots, mold odor, cockroach, water damage, and incense burning, the random-effect pooled OR ranged from 1.43 to 1.73. Other risk factors with significant pooled OR for asthma development included male gender (1.30, 95% CI: 1.23–1.38), cigarette smoke exposure (1.44, 95% CI: 1.30–1.60), cigarette smoking (1.66, 95% CI: 1.44–1.90), body mass index (BMI)–related parameters (pooled OR ranged from 1.06 to 2.02), various types of air pollution (NO2, PM10, and O3; pooled OR ranged from 1.03 to 1.22), and pre- and perinatal factors (low birth weight, preterm birth, and cesarean section; pooled OR ranged from 1.14 to 1.32). Conclusions The family history of asthma was the most frequently reported risk factor for asthma development in Asia with the highest risk estimate for asthma development. This suggests a major role of the genetic component in asthma pathogenesis. Further study on asthma genetics is required to improve the current understanding of asthma etiology.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Risk factors of asthma in the Asian population: a systematic review and meta-analysis

Sio

Chew

2021

J Physiol Anthropol

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“…Nevertheless, it is important to acknowledge that such composite measures have weaknesses, as different socioeconomic indicators may point in different directions, as observed in our study. Correspondingly, asthma has for instance been associated with joblessness in Iran [ 24 ] and low income in the United States [ 25 ], whereas an Israeli study on pre-recruit soldiers [ 26 ] found that high SES based on residential area was associated with asthma. Also, asthma is a heterogeneous condition, which may contribute to a complex association between SES and asthma.…”

Section: Discussionmentioning

confidence: 99%

Low socioeconomic status relates to asthma and wheeze, especially in women

et al. 2020

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Low socioeconomic status (SES) has been associated with asthma and wheezing. Occupational group, educational level and income are commonly used indicators for SES, but no single indicator can illustrate the entire complexity of SES. The aim was to investigate how different indicators of SES associate with current asthma, allergic and nonallergic, and asthmatic wheeze.In 2016, a random sample of the population aged 20–79 years in Northern Sweden were invited to a postal questionnaire survey, with 58% participating (n=6854). The survey data were linked to the national Integrated Database for Labour Market Research by Statistics Sweden for the previous calendar year, 2015. Included SES indicators were occupation, educational level and income.Manual workers had increased risk for asthmatic wheeze, and manual workers in service for current asthma, especially allergic asthma. Primary school education associated with nonallergic asthma, whereas it tended to be inversely associated with allergic asthma. Low income was associated with asthmatic wheeze. Overall, the findings were more prominent among women, and interaction analyses between sex and income revealed that women, but not men, with low income had an increased risk both for asthmatic wheeze and current asthma, especially allergic asthma.To summarise, the different indicators of socioeconomic status illustrated various aspects of associations between low SES and asthma and wheeze, and the most prominent associations were found among women.

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“…Chronic rhinosinusitis (CRS) is a common condition of the upper respiratory tract (1) with poor quality of life and known associations with the lower respiratory tract (2). It is known that socioeconomic deprivation can be associated with a higher prevalence of asthma and poorer lung function (3,4). The Chronic Rhinosinusitis Epidemiology Study (CRES) was designed to distinguish differences in socio-economic status, geography, medical/psychiatric co-morbidity, lifestyle and overall quality of life between patients with CRS and healthy controls.…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic, comorbidity, lifestyle and quality of life comparisons between chronic rhinosinusitis phenotypes: Data from the National Chronic Rhinosinusitis Epidemiology Study

Philpott

Ta²,

Hopkins

et al. 2020

Preprint

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Background: Chronic rhinosinusitis (CRS) is a heterogenous group of inflammatory sinonasal disorders with key defining symptoms, but traditionally separated into phenotypes by clinical/endoscopic findings. It is not known if the two phenotypes have differing socioeconomic, co-morbidity and lifestyle differences. Objective: This analysis of the Chronic Rhinosinusitis Epidemiology Study (CRES) database sought to analyse any key differences in the socioeconomic variables between those with CRS with nasal polyps (CRSwNPs) and those without nasal polyps (CRSsNP). We also sought to analyse differences in comorbidities, lifestyle and quality of life. Methods: Patients with a confirmed diagnosis of CRS in secondary and tertiary care outpatient settings were invited to participate in a questionnaire based case-control study. Variables included demographics, comorbidities, socioeconomic factors, lifestyle factors and health related quality of life. Results: A total of 1204 patients' data were analysed; 553 CRSsNP and 651 CRSwNP participants. The key socioeconomic variables did not demonstrate any notable differences, nor did lifestyle variables other than alcohol consumption being higher in those with CRSwNP (p=0.032). Aside from confirmation of asthma being more common in CRSwNP, it was notable that this group complained less of URTIs and CRSsNP participants showed evidence of lower HRQoL scores in respect of body pain (p=0.001). Conclusions: Patients with CRSwNP experience higher rates of asthma and lower rates of URTIs but otherwise do not demonstrate significant socioeconomic, comorbidity, lifestyle or quality of life issues other than for body pain and alcohol consumption.

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Asthma and its related socioeconomic factors: The Shiraz Adult Respiratory Disease Study 2015

Abstract: It can be concluded that lower socioeconomic status is associated with higher adult current asthma prevalence. Target interventions are necessary to reduce disparities in healthcare systems.

Cited by 12 publications

References 32 publications

Risk factors of asthma in the Asian population: a systematic review and meta-analysis

Risk factors of asthma in the Asian population: a systematic review and meta-analysis

Low socioeconomic status relates to asthma and wheeze, especially in women

Socioeconomic, comorbidity, lifestyle and quality of life comparisons between chronic rhinosinusitis phenotypes: Data from the National Chronic Rhinosinusitis Epidemiology Study

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