Prevalence Rates Of Asthma Research Articles

Prevalence and Clinico-sociodemographic Factors of Asthmatic Children Aged 1 to 14 Years: A Prospective Descriptive Cross-sectional Study in Gandaki Province, Nepal

Introduction Pediatric asthma poses a significant public health challenge, impacting children’s health and quality of life. As asthma prevalence continues to rise globally, understanding its epidemiology is crucial for developing effective management strategies. This study aims to investigate the prevalence and associated demographic, socioeconomic, and clinical characteristics of pediatric asthma among children aged 1 to 14 years. Methods This study employed a prospective descriptive cross-sectional design. Data were collected from a diagnosed asthmatic children attending pediatric department of the GP Koirala National Respiratory Centre and Hospital, Tanahun, Ganaki, Nepal over three months from April 20, 2023 by assessing demographic factors (age, gender, residence), socioeconomic status, clinical history (family history and comorbid conditions), and asthma severity. Data were analyzed with SPSS version 23 using descriptive statistics. Results Prevalence rate of pediatric asthma was 3.08%. The demographic analysis revealed that most participants were aged 1-5 years (53%), predominantly male (64.9%), and resided in urban areas (59.6%). Socioeconomic data indicated that 59.6% came from low-income households, suggesting a potential link between socioeconomic status and asthma prevalence. Clinically, 53% had a family history of asthma, with 26.3% presenting with comorbid allergic rhinitis. Asthma severity assessments showed that 50% had mild asthma, 33.33% had moderate asthma, and 16.67% had severe asthma. Conclusion This study highlights a low prevalence of asthma in the pediatric population at GP Koirala National Respiratory Centre and Hospital, yet emphasizes the burden faced by younger children, especially those from low-income backgrounds. The correlations between asthma prevalence, socioeconomic status, and comorbid conditions underscore the need for targeted public health interventions and comprehensive management strategies. Further research is warranted to deepen understanding and enhance healthcare services for affected children.

No Association Between Allergic Diseases and Constipation in Japanese Ulcerative Colitis Patients: A Cross-Sectional Study.

Constipation is a common gastrointestinal symptom in patients with ulcerative colitis (UC). Several studies on the general population have demonstrated a link between allergic diseases and constipation. However, evidence regarding the association between allergic diseases and constipation in UC is limited. This study aims to evaluate this issue in Japanese patients with UC. This cross-sectional study recruited consecutive 387 patients with UC. We used a self-administered questionnaire to estimate the prevalence of physician-diagnosed allergic diseases. The definition of constipation was based on Rome I criteria and/or medication for constipation. The prevalence of constipation was 12.5%. The prevalence rates of asthma, atopic dermatitis, pollen allergy, food allergy, and drug allergy were 11.8%, 9.0%, 36.3%, 6.2%, and 8.3%, respectively. Allergic diseases were not associated with constipation (adjusted odds ratio [OR] with asthma (adjusted OR 0.98 [95% confidence interval [CI] 0.27-2.80]), atopic dermatitis (adjusted OR 0.67 [95% CI 0.10-2.56]), pollen allergy (adjusted OR 0.92 [95% CI 0.41-1.97]), food allergy (adjusted OR 0.76 [95% CI 0.11-2.95]), and drug allergy (adjusted OR 1.06 [95% CI 0.28-3.24]). Additionally, the number of allergic diseases was not associated with the prevalence of constipation. In Japanese UC patients, no association between allergic diseases and constipation was found.

Asthma Prevalence Among Adults in Qassim Region, Saudi Arabia.

Asthma is a major non-communicable disease affecting both children and adultsand is the most common chronic disease among children. It has a significant effect on patient's daily lives, as well as a big economic impact on society, as it affects 262 million people of the population globally. According to the previous research conducted in the Aseer region in southwestern Saudi Arabia, the prevalence rate of bronchial asthma was found to be 19.2%. Also, a number of studies revealed a significant prevalence of asthma in Saudi Arabia. Therefore, it is simple and effective to measure specific asthma symptoms among the adult population by utilizing the European Community Respiratory Health Survey(ECRHS) criteria. To investigate asthma prevalence and measure asthma symptoms among Saudi adults in Qassim, Saudi Arabia using the ECRHS. This cross-sectional study targets the males and females living in the Qassim regionof Saudi Arabia. The study was conducted by handing out a validated, self-administered questionnaire among adultmale and female patients in the Qassim region of Saudi Arabia. Both descriptive and inferential statistics analyses were conducted. To test the association, both chi-square and Fisher's exact tests were carried out. For the test, a p-value less than 0.05 was considered statistically significant. The study involved 461 participants who met the inclusion criteria. The study found that 137 (29.9%) participants reported having tightness in their chests when they woke up. Among the respondents who reported these symptoms were 83 (60.1%) female and 55 (39.9%) male respondents. This shows a statistically significant difference between the gender and severity of chest tightness upon waking up (p = 0.008) with more females experiencing it than the male gender. More so, there was a statistically significant difference between the gender and severity of shortness of breath (p = 0.008), with more females (81, 60.4%) having the symptoms than the male gender (53, 39.6%). In addition, the study results reveal statistically significant gender differences among the patients who were diagnosed with asthma by the physician (p = 0.003), with more males (51, 65.4%) having been diagnosed than the female gender (27, 34.6%). Asthmaattacks inthe12months (p = 0.047) and the use of tobacco products(p = 0.001) were also found to have a statistically significant difference across the genders. This was shown by most males (26, 65.0%)who hadasthmaattacks inthe12months and 70 (98.6%) who smoked any tobacco products than the few females (14, 35.0%) who reported to have had asthmaattacks inthe12months and one (1.4%) who reported smoking any tobacco products. This study noted that the prevalence of asthma symptoms varied based on the gender of the participants. Therefore, the study suggests that gender should be taken as an important factor while evaluating the severity and how asthma-related symptoms manifest.

Association between household income levels and nutritional intake of allergic children under 6 years of age in Korea: 2019 Korea National Health and Nutrition Examination Survey and application of machine learning.

This study investigated the prevalence of allergic diseases in Korean children aged 6 and below, focusing on the interplay between nutritional status, household income levels, and allergic disease occurrence. This study used data from the 2019 Korea National Health and Nutrition Examination Survey, a nationwide comprehensive survey, and included a representative sample of 30,382 children under the age of 6 to investigate in detail the relationship between allergic diseases, nutritional intake, and socioeconomic factors. Logistic regression analysis was performed to identify factors associated with allergic diseases, including gender, BMI, eating habits, dietary supplement intake, and nutrient consumption. To predict childhood asthma, 14 machine learning models were compared using the 'pycaret' package in Python. We discerned that 24.7% were diagnosed with allergic conditions like atopic dermatitis, asthma, and allergic rhinitis. Notably, household income exhibited a significant influence, with the lowest income quartile exhibiting higher prevalence rates of asthma, allergic rhinitis, and multiple allergic diseases. In contrast, the highest income quartile displayed lower rates of allergic rhinitis. Children diagnosed with allergic diseases demonstrated compromised intake of essential nutrients such as energy, dietary fiber, vitamin B1, sodium, potassium, and iron. Particularly noteworthy were the deficits in dietary fiber, vitamin A, niacin, and potassium intake among children aged 3-5 with allergies. Logistic regression analysis further elucidated that within low-income families, female children with higher BMIs, frequent dining out, dietary supplement usage, and altered consumption of vitamin B1 and iron faced an elevated risk of allergic disease diagnosis. Additionally, machine learning analysis pinpointed influential predictors for childhood asthma, encompassing BMI, household income, subjective health perception, height, and dietary habits. Our findings underscore the pronounced impact of income levels on the intricate nexus between allergic diseases and nutritional status. Furthermore, our machine learning insights illuminate the multifaceted determinants of childhood asthma, where physiological traits, socioeconomic circumstances, environmental factors, and dietary choices intertwine to shape disease prevalence. This study emphasizes the urgency of tailored nutritional interventions, particularly in socioeconomically disadvantaged populations, while also underscoring the necessity for comprehensive longitudinal investigations to unravel the intricate relationship between allergic diseases, nutritional factors, and socioeconomic strata.

Predicting asthma using imbalanced data modeling techniques: Evidence from 2019 Michigan BRFSS data

Studies in the past have examined asthma prevalence and the associated risk factors in the United States using data from national surveys. However, the findings of these studies may not be relevant to specific states because of the different environmental and socioeconomic factors that vary across regions. The 2019 Behavioral Risk Factor Surveillance System (BRFSS) showed that Michigan had higher asthma prevalence rates than the national average. In this regard, we employ various modern machine learning techniques to predict asthma and identify risk factors associated with asthma among Michigan adults using the 2019 BRFSS data. After data cleaning, a sample of 10,337 individuals was selected for analysis, out of which 1,118 individuals (10.8%) reported having asthma during the survey period. Typical machine learning techniques often perform poorly due to imbalanced data issues. To address this challenge, we employed two synthetic data generation techniques, namely the Random Over-Sampling Examples (ROSE) and Synthetic Minority Over-Sampling Technique (SMOTE) and compared their performances. The overall performance of machine learning algorithms was improved using both methods, with ROSE performing better than SMOTE. Among the ROSE-adjusted models, we found that logistic regression, partial least squares, gradient boosting, LASSO, and elastic net had comparable performance, with sensitivity at around 50% and area under the curve (AUC) at around 63%. Due to ease of interpretability, logistic regression is chosen for further exploration of risk factors. Presence of chronic obstructive pulmonary disease, lower income, female sex, financial barrier to see a doctor due to cost, taken flu shot/spray in the past 12 months, 18–24 age group, Black, non-Hispanic group, and presence of diabetes are identified as asthma risk factors. This study demonstrates the potentiality of machine learning coupled with imbalanced data modeling approaches for predicting asthma from a large survey dataset. We conclude that the findings could guide early screening of at-risk asthma patients and designing appropriate interventions to improve care practices.

Global burden of asthma in young adults in 204 countries and territories, 1990–2019: Systematic analysis of the Global burden of disease study 2019

Asthma is a common chronic respiratory disease, with onset usually occurring during childhood or adolescence. The aim of this study was to estimate the dynamic changes in the burden of asthma disease among adolescents (aged 15–39 years). Between 1990 and 2019, our comprehensive analysis spanned 204 nations and territories to ascertain the global prevalence of asthma. This extensive evaluation meticulously quantified the disease's burden by examining a range of critical metrics—including mortality rates, prevalence figures, and disability-adjusted life-years (DALYs)—across diverse demographics. Our investigation systematically segmented the data by age, gender, and year, as well as by geographical regions and the Socio-demographic Index (SDI), offering an in-depth perspective on the multifaceted impact of asthma worldwide. From 1990 to 2019, there was a global increase in the incidence cases of asthma among young adults, with the number rising from 6487957.18 (95 %UI: 4578735.08–8736387.55) to 7604488.39 (95 % UI:5428024.98–10177808.25). The prevalence rate of asthma among young adults exhibited a decline from 580.09 per 1,00,000 (95 %UI:481.37–757.28) to 504.28 per 1,00,000 (95 %UI:400.64–633.26). It is also noteworthy that the incidence rates in the remaining SDI regions, although lower, also showed varying degrees of increase in 2015. The age-standardized disease burden rate for asthma among young adults has exhibited a decline over the course of the previous three decades. Nevertheless, regions characterized by lower SDI demonstrate elevated age-standardized mortality rates for asthma, thereby warranting focused attention and prioritized allocation of medical resources.

Association between living habits, indoor humidity, ventilation and asthma among residents in the tropical regions of China.

Asthma is a major public health problem that affects both children and adults, and its prevalence varies among people with different climatic characteristics and living habits. However, few studies have investigated the prevalence and risk factors for asthma among tropical residents in China. Therefore, this study aims to investigate the correlation between individuals' living environment and daily habits in Hainan Province, and the occurrence of asthma. This cross-sectional study collected data from 1021 participants in three regions of the Hainan Province. A questionnaire derived from the European Community Respiratory Health Survey was used to collect data on demographics, living habits, self-reported asthma, and respiratory system-related symptoms. Logistic regression was used for univariate and multivariate analyses to screen for relative risk factors associated with asthma. Among the 1,021 subjects investigated, the prevalence rate of self-reported asthma was 18.6%. Significant risk factors for asthma include hair dyeing, longer living time in Hainan, higher BMI, and living in a damp and musty room. Protective factors included fruit intake, years of higher education, and indoor timing of natural ventilation. Higher frequency of hair dyeing, higher body mass index (BMI), longer living in Hainan, lower frequency of fruit intake, fewer years of education, a damp and musty room, and no indoor timing natural ventilation were associated with an increased risk of asthma.

Cleaning Tasks and Products and Asthma Among Health Care Professionals.

Health care workers are at risk for work-related asthma, which may be affected by changes in cleaning practices. We examined associations of cleaning tasks and products with work-related asthma in health care workers in 2016, comparing them with prior results from 2003. We estimated asthma prevalence by professional group and explored associations of self-reported asthma with job-exposure matrix-based cleaning tasks/products in a representative Texas sample of 9914 physicians, nurses, respiratory/occupational therapists, and nurse aides. Response rate was 34.8% (n = 2421). The weighted prevalence rates of physician-diagnosed (15.3%), work-exacerbated (4.1%), and new-onset asthma (6.7%) and bronchial hyperresponsiveness symptoms (31.1%) were similar to 2003. New-onset asthma was associated with building surface cleaning (odds ratio [OR], 1.91; 95% confidence interval [CI], 1.10-3.33), use of ortho-phthalaldehyde (OR, 1.77; 95% CI, 1.15-2.72), bleach/quaternary compounds (OR, 1.91; 95% CI, 1.10-3.33), and sprays (OR, 1.97; 95% CI, 1.12-3.47). Prevalence of asthma/bronchial hyperresponsiveness seems unchanged, whereas associations of new-onset asthma with exposures to surface cleaning remained, and decreased for instrument cleaning.

Occupational Asthma Prevalence among Migrant Workers Attending Shuaiba Industrial Medical Center in Kuwait.

Specific work environments, such as exposure to chemicals emitted during industrial processes, are related to occupational asthma. From 1985 to 2012, Kuwait was expected to have the highest asthma prevalence rate among Middle East nations, at 15%. This cross-sectional study was conducted using secondary data from occupational health physicians' records in the Shuaiba Industrial Medical Center (SIMC) extracted and analyzed using SPSS. Chi-square test and logistic regression were used to check the association between risk factors and bronchial asthma (BA). The data sample size was 3478 in 2018 and 3807 in 2019. In 2018, BA had a significant relationship with age categories, work year groups, and determinants of fitness. Migrant workers above 51 years of age had a high risk of developing BA (p-value = 0.012). There was a high risk of developing BA in workers who worked > 21 years (p-value < 0.001) and in workers who worked between 11 and 20 years (p-value = 0.042). Overweight workers had a risk of developing BA (p-value = 0.042). In 2019, BA had an associated relationship with age categories and determinants of fitness. Workers above 51 years of age had about a 39% risk of developing BA (p-value = 0.009). Otherwise, the BMI, working year groups, marital status, and smoking status had no association with BA. In conclusion, BA is prevalent among migrant workers at the SIMC. Long hours, low income, and a lack of PPE are just a few of the issues that migrant workers have been exposed to, raising their risk of poor health.

Impact of Regional Mobility on Air Quality during COVID-19 Lockdown in Mississippi, USA Using Machine Learning.

Social distancing measures and shelter-in-place orders to limit mobility and transportation were among the strategic measures taken to control the rapid spreading of COVID-19. In major metropolitan areas, there was an estimated decrease of 50 to 90 percent in transit use. The secondary effect of the COVID-19 lockdown was expected to improve air quality, leading to a decrease in respiratory diseases. The present study examines the impact of mobility on air quality during the COVID-19 lockdown in the state of Mississippi (MS), USA. The study region is selected because of its non-metropolitan and non-industrial settings. Concentrations of air pollutants-particulate matter 2.5 (PM2.5), particulate matter 10 (PM10), ozone (O3), nitrogen oxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)-were collected from the Environmental Protection Agency, USA from 2011 to 2020. Because of limitations in the data availability, the air quality data of Jackson, MS were assumed to be representative of the entire region of the state. Weather data (temperature, humidity, pressure, precipitation, wind speed, and wind direction) were collected from the National Oceanic and Atmospheric Administration, USA. Traffic-related data (transit) were taken from Google for the year 2020. The statistical and machine learning tools of R Studio were used on the data to study the changes in air quality, if any, during the lockdown period. Weather-normalized machine learning modeling simulating business-as-scenario (BAU) predicted a significant difference in the means of the observed and predicted values for NO2, O3, and CO (p < 0.05). Due to the lockdown, the mean concentrations decreased for NO2 and CO by -4.1 ppb and -0.088 ppm, respectively, while it increased for O3 by 0.002 ppm. The observed and predicted air quality results agree with the observed decrease in transit by -50.5% as a percentage change of the baseline, and the observed decrease in the prevalence rate of asthma in MS during the lockdown. This study demonstrates the validity and use of simple, easy, and versatile analytical tools to assist policymakers with estimating changes in air quality in situations of a pandemic or natural hazards, and to take measures for mitigating if the deterioration of air quality is detected.

Changes in the national prevalence of asthma and coronavirus disease 2019 fatality: A population-based cross-sectional study

BackgroundThe coronavirus disease 2019 (COVID-19) mitigation and containment strategies implemented by each country can influence the prevalence of asthma and its fatality. ObjectiveTo analyze the trend of asthma prevalence and COVID-19 fatality in children and adults with asthma. MethodsThe prevalence of asthma and fatalities were compared among the peaks of 5 pandemic waves in Mexico. ResultsAmong patients with COVID-19, the prevalence rates of asthma among children were as follows: wave I, 3.5%; wave II, 2.6%; wave III, 2.2%; wave IV, 2.4%; and wave V, 1.9% (P for trend < .001); the prevalence rates of asthma among adults were as follows: wave I, 2.5%; wave II, 1.8%; wave III, 1.5%; wave IV, 1.7%; and wave V, 1.6% (P for trend < .001). The rates of fatality because of COVID-19 among individuals with asthma were as follows: wave I, 8.9%; wave II, 7.7%; wave III, 5.0%; wave IV, 0.9%; and wave V, 0.2% (P for trend < .001). ConclusionThe prevalence rates of asthma and fatalities from COVID-19 suggest a gradual reduction throughout the pandemic in Mexico.

Association of persistent pain with the incidence of chronic conditions following a disabling work-related injury.

In a cohort of workers disabled by a work-related injury or illness, this study aimed to: (i) compare pre-injury prevalence estimates for common chronic conditions to chronic condition prevalence in a representative sample of working adults; (ii) calculate the incidence of chronic conditions post-injury; and (iii) estimate the association between persistent pain symptoms and the incidence of common chronic conditions. Eighteen months post-injury, 1832 workers disabled by a work-related injury or illness in Ontario, Canada, completed an interviewer-administered survey. Participants reported pre- and post-injury prevalence of seven physician-diagnosed chronic conditions, and demographic, employment, and health characteristics. Pre-injury prevalence estimates were compared to estimates from a representative sample of workers. Multivariable logistic regression was used to examine the association of persistent pain with post-injury chronic condition incidence. Age-standardized pre-injury prevalence rates for diabetes, hypertension, arthritis, and back problems were similar to prevalence rates observed among working adults in Ontario, while prevalence rates for mood disorder, asthma and migraine were moderately elevated. Post-injury prevalence rates of mood disorder, migraine, hypertension, arthritis, and back problems were elevated substantially in this cohort. High persistent pain symptoms were strongly associated with the 18-month incidence of these conditions. The incidence of five chronic conditions over an 18-month follow-up period post injury was substantial. Persistent pain at 18 months was associated with this elevated incidence, with population attributable fraction estimates suggesting that 37-39% of incident conditions may be attributed to exposure to high levels of persistent pain.

An updated prevalence of asthma, its phenotypes, and the identification of the potential asthma risk factors among young Chinese adults recruited in Singapore

BackgroundAsthma is a chronic inflammatory disease of the airway characterized by respiratory symptoms: wheezing, shortness of breath, coughing, and chest tightness. Globally, asthma affects over 300 million individuals and carries high morbidity and mortality burden. Previous studies have estimated the prevalence of asthma; however, prevalence estimates have been changing over time. Here, in a population of young Chinese adults from Singapore, we aimed to obtain an updated prevalence of asthma and its phenotypes, and identify potential associated risk factors. MethodsThe Singapore/Malaysia Cross-Sectional Genetics Epidemiology Study (SMCGES) is an ongoing study which uses established ISAAC guidelines to collect epidemiological data and information pertaining to allergic diseases such as asthma. Responses from young Chinese adults recruited in the National University of Singapore were analyzed. ResultsLifetime asthma prevalence rate was estimated at 19.1% (2049/10,736), while current asthma prevalence rate was estimated at 6.3% (679/10,736). For ever asthma, the most important risk factor was a parental history of asthma. Increased consumption of pulses (aOR: 0.822, 95% CI: 0.706–0.958) was associated with a lowered odds of ever asthma, but cereals (aOR: 1.256, 95% CI: 1.006–1.580), pasta (aOR: 1.265, 95% CI: 1.027–1.553), butter (aOR: 1.350, 95% CI: 1.113–1.632), and margarine (aOR: 1.343, 95% CI: 1.081–1.660) were associated with a higher risk of ever asthma. Increased television/computer usage was associated with a decreased risk of ever asthma (aOR: 0.448, 95% CI: 0.367–0.545). Conversely, genetic factors had a lower strength of effect on current asthma (parental history of asthma - OR: 1.465, 95% CI: 1.135–1.888) as compared to ever asthma. Only increased potato consumption was significantly associated with an increased risk of current asthma (most or all days per week vs never or only occasionally - aOR: 1.577, 95% CI: 1.145–2.180). Physical activity (aOR: 0.693, 95% CI: 0.542–0.885) was associated with a lower odds of asthma, while second-hand smoke exposure was associated with an increased risk for current asthma (aOR: 1.435, 95% CI: 1.001–2.047). ConclusionOverall, the prevalence of lifetime asthma and current asthma among young Chinese adults was 19.1% and 6.3%, higher than that of previous studies. Our results suggested a stronger association between genetic factors and ever asthma as compared to current asthma. Parental asthma was the most important intrinsic epidemiological factor for asthma manifestation, while various foods, physical activity levels, and television or computer usage were also significantly associated with asthma. Future studies should consider risk factors in conjunction with other accompanying variables given the potential interactions between them, to discern the effects of environment and lifestyle on asthma more distinctly.

Prevalence and Risk Factors of Asthma in Children and Adolescents in Rabigh, Western Saudi Arabia

The worldwide prevalence of asthma in children is variable. The different epidemiological definitions of asthma, the use of various methods of measurement, and the environmental variations between countries are responsible for such different prevalence rates. This study has been performed to identify the prevalence/risk factors of asthma in Saudi children/adolescents in Rabigh. A cross-sectional epidemiological survey has been conducted using the validated Arabic version of the "International Study of Asthma and Allergies in Childhood questionnaire". Data on the sociodemographic characteristics of participants and risk factors of asthma have also been collected. Three hundred and forty-nine Children/adolescents with an age range of 5-18 years have been randomly selected for an interview from public places and houses in different regions of Rabigh City. The prevalence rates of physician-diagnosed asthma, any wheezing, and wheezing in the last 12 months among children/adolescents (mean age: 12.22 ± 4.14 years) have remarkably increased in association with the rapidly developing industrialization of Rabigh from previously recorded rates of 4.9%, 7.4%, and 6.4% in the only study that has previously been conducted in Rabigh in 1998 to 31.5%, 23.5%, and 14.9%, respectively. The univariate analysis has detected some significant risk factors for asthma. However, in younger aged children (5-9 years), allergic rhinitis, associated chronic illnesses, and viral respiratory infection-induced wheezing have remained significant risk factors of any wheezing. Drug allergy, exposure to dust, and viral respiratory infection-induced wheezing have persisted as significant risk factors for wheezing in the last 12 months. Eczema in the family, exposure to perfumes/incense, and viral respiratory infection-induced wheezing have remained as significant risk factors of physician-diagnosed asthma. The results of this survey should be useful in future targeted preventive plans/measures with special attention to improving air quality to limit the progressive increase in asthma prevalence in Rabigh, as well as in other similar industrial communities.

PREVALENCE AND RISK FACTORS OF BRONCHIAL ASTHMA IN CHILDREN IN SAUDI ARABIA, A SYSTEMATIC REVIEW

Background: The results of the few epidemiological studies that have been carried out in Saudi Arabia to determine the prevalence of childhood asthma are highly inconsistent. As a result, we did a systematic literature review to assess the frequency of childhood asthma in Saudi Arabia since knowing the prevalence of common bronchial asthma in children will help doctors better grasp the scope of this health problem and inform resource planning.&#x0D; Objectives: This study aims to summarize current estimations of the prevalence and risk factors of bronchial asthma among children in Saudi Arabia.&#x0D; Methods: The PubMed database and EBSCO Information Services were utilised to choose the articles. In our review, all pertinent articles related to both our topic and other articles were used. Other articles that were unrelated to this field were not considered. The data was extracted in a specific format, which the group members reviewed.&#x0D; Conclusion: Bronchial asthma prevalence rates in Saudi Arabia are increasing annually. The highest prevalence rate was found in Al Hafouf region while the lowest was reported in Abha. Risk factors were significantly associated with bronchial asthma as phycological status, smoking family member, socioeconomic status, dust, air pollution, allergens as well as other factors.

Prevalence and Disability-Adjusted Life Year Rates of Asthma in China: Findings from the GBD Study 2019 of the G20.

The credible materials about the burden of asthma in China when compared to other countries in the group of twenty (G20) remain unavailable. Following the popular analysis strategy used in the Global Burden of Disease Study, the age-, sex-, country-specific prevalence, and disability-adjusted life years (DALYs) of asthma in China were analyzed. Meanwhile, the comparison in trends between China and other countries in the G20 was also evaluated. In 2019, asthma was the 8th leading cause of the DALYs' burden of 369 diseases in China. From 1990 to 2019, the age-standardized prevalence and DALY rates of asthma in China decreased by 14% and 51%, respectively; further, the decline rate of DALYs was much higher than the global average (-51%: -43%). It is worth noting that the overall population age-standardized DALYs rate of asthma in China was the lowest in the G20 during 2019 (102.81, 95% UI: (72.30,147.42)/100,000). Moreover, the age-standardized asthma prevalence rate peaks in both childhood (178.14, 95% UI: (90.50, 329.01)/100,000) and the elderly (541.80, 95% UI: (397.79, 679.92)/100,000). Moreover, throughout the study, subjects in the 5 to 9 years old interval were a constant focus of our attention. The disease burden of asthma has varied greatly by gender and age over the past 30 years. In contrast to the increasing burden in most other G20 countries, the age-standardized prevalence rate of asthma shows a significant decreasing trend in China, however, the age-standardized DALYs rate shows a fluctuating change, and has even shown a rebound trend in recent years.

Admixture mapping of severe asthma exacerbations in Hispanic/Latino children and youth

BackgroundIn the USA, genetically admixed populations have the highest asthma prevalence and severe asthma exacerbations rates. This could be explained not only by environmental factors but also by genetic variants...

Prevalence and Severity of Asthma, Rhinitis and Eczema in Pre-School Children in the United Arab Emirates

Very few studies have been carried out on asthma and allergies in pre-schoolchildren. This is the first study of pre-school children with asthma and allergies in the United Arab Emirates. We studied 4,000 pre-schoolchildren from the United Arab Emirates: Dubai, Sharjah, Abu Dhabi, and Al-Ain. The ages of the study group were between 1-5 years, and were 2,000 boys and 2,000 girls; they were randomly selected from kindergartens and nurseries. We used the standardised International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire. The mean (SD) age, height, weight and BMI were 3.3 (1.4) years, 92.0 (1.3) cm, 17.3 (5.2) kg, and 23.4 (9.3). The prevalence rates of “wheeze ever”, “current wheeze”, “speech limitation”, “asthma” , “dry night cough”, and “exercise-induced asthma” were 40.4%, 43.8%, 37.6%, 26.5%, 36.1, and 37.6%, respectively. Boys had a significantly higher prevalence of wheeze ever and current wheeze than girls. Girls had a significantly higher prevalence of speech limitation than boys. The prevalence rates of “rhinitis ever”, “current rhinitis”, “itchy watery eyes” and “hay fever” were 42%, 40.5%, 39.1% and 46.9%, respectively. Boys had significantly higher prevalence rates of “rhinitis ever”, “current rhinitis”, and “itchy watery eyes” than girls. The prevalence rates of “rash ever”, “current rash” and “eczema ever” were 38.9%, 33.7% and 58.0%, respectively. Boys had significantly higher prevalence rates of rash ever, current rash, and eczema ever than girls. Children who were exposed to parental smoking have significantly higher prevalence rates of asthma, wheezing, and cough than those whom were not exposed. Children who breastfed more than 10 months had a significantly lower prevalence rates of “wheeze ever”, “current wheeze”, “speech limitation”, and “asthma”, than those whom breastfed less than 10 months. The prevalence rates of asthma, rhinitis and eczema were very high. Breastfeeding was found to be protective for asthma. The study can be used as a baseline intervention project to reduce incidents of asthma and allergies in these children and to establish atopic march in order to implement strategies to improve the respiratory health and allergies in these children. Keywords: asthma, wheeze, night cough, rhinitis, eczema, pre-school children, paediatric asthma

Small-area estimation for public health surveillance using electronic health record data: reducing the impact of underrepresentation

BackgroundElectronic Health Record (EHR) data are increasingly being used to monitor population health on account of their timeliness, granularity, and large sample sizes. While EHR data are often sufficient to estimate disease prevalence and trends for large geographic areas, the same accuracy and precision may not carry over for smaller areas that are sparsely represented by non-random samples.MethodsWe developed small-area estimation models using a combination of EHR data drawn from MDPHnet, an EHR-based public health surveillance network in Massachusetts, the American Community Survey, and state hospitalization data. We estimated municipality-specific prevalence rates of asthma, diabetes, hypertension, obesity, and smoking in each of the 351 municipalities in Massachusetts in 2016. Models were compared against Behavioral Risk Factor Surveillance System (BRFSS) state and small area estimates for 2016.ResultsIntegrating progressively more variables into prediction models generally reduced mean absolute error (MAE) relative to municipality-level BRFSS small area estimates: asthma (2.24% MAE crude, 1.02% MAE modeled), diabetes (3.13% MAE crude, 3.48% MAE modeled), hypertension (2.60% MAE crude, 1.48% MAE modeled), obesity (4.92% MAE crude, 4.07% MAE modeled), and smoking (5.33% MAE crude, 2.99% MAE modeled). Correlation between modeled estimates and BRFSS estimates for the 13 municipalities in Massachusetts covered by BRFSS’s 500 Cities ranged from 81.9% (obesity) to 96.7% (diabetes).ConclusionsSmall-area estimation using EHR data is feasible and generates estimates comparable to BRFSS state and small-area estimates. Integrating EHR data with survey data can provide timely and accurate disease monitoring tools for areas with sparse data coverage.

Environmental Pollution Analysis and Impact Study—A Case Study for the Salton Sea in California

A natural experiment conducted on the shrinking Salton Sea, a saline lake in California, showed that each one foot drop in lake elevation resulted in a 2.6% average increase in PM2.5 concentrations. The shrinking has caused the asthma rate continues to increase among children, with one in five children being sent to the emergency department, which is related to asthma. In this paper, several data-driven machine learning (ML) models are developed for forecasting air quality and dust emission to study, evaluate and predict the impacts on human health due to the shrinkage of the sea, such as the Salton Sea. The paper presents an improved long short-term memory (LSTM) model to predict the hourly air quality (O3 and CO) based on air pollutants and weather data in the previous 5 h. According to our experiment results, the model generates a very good R2 score of 0.924 and 0.835 for O3 and CO, respectively. In addition, the paper proposes an ensemble model based on random forest (RF) and gradient boosting (GBoost) algorithms for forecasting hourly PM2.5 and PM10 using the air quality and weather data in the previous 5 h. Furthermore, the paper shares our research results for PM2.5 and PM10 prediction based on the proposed ensemble ML models using satellite remote sensing data. Daily PM2.5 and PM10 concentration maps in 2018 are created to display the regional air pollution density and severity. Finally, the paper reports Artificial Intelligence (AI) based research findings of measuring air pollution impact on asthma prevalence rate of local residents in the Salton Sea region. A stacked ensemble model based on support vector regression (SVR), elastic net regression (ENR), RF and GBoost is developed for asthma prediction with a good R2 score of 0.978.