Prevalence and Risk Factors of Asthma in Preschool Children in Shanghai, China: A Cross-Sectional Study

The epidemiology of asthma in Mainland China: a systematic review and meta-analysis

BACKGROUND

Reliable estimates of asthma prevalence are essential for developing effective public health policies. However, discrepancies in published results have posed challenges for public health planning in China. To address this issue, we conducted this study to provide a comprehensive assessment of the epidemiology of asthma prevalence in China.

METHODS

We conducted a thorough systematic review across multiple databases including PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, and Weipu database. The search was limited to studies published in either Chinese or English up to August 31, 2023, that reported on asthma prevalence in China. We extracted relevant study characteristics and performed meta-analyses. The study protocol was registered with PROSPERO (CRD42023397949).

RESULTS

A literature search yielded 192 studies that met the inclusion criteria out of 17,152 articles. The overall prevalence of asthma in Mainland China was found to be 2.20% (95% confidence interval, CI: 1.96-2.47%; I2 = 99.8%), with the prevalence of ever asthma at 2.21%, current asthma at 2.16%, ever asthma-like symptoms at 14.36%, and current asthma-like symptoms at 3.01%. Using a random-effects model, the prediction interval ranged from 0.44 to 10.27%. Meta-analysis subgroups indicated that men or children and the elderly generally have a higher prevalence of asthma. In addition, the prevalence of asthma is higher in urban areas and in the East China. The prevalence of asthma has been on the rise over the past three decades, from 0.69% in 1984 to 5.30% in 2021. Projections suggest that the prevalence could reach 9.76% by 2050 for the Chinese population.

CONCLUSIONS

Asthma remains less prevalent in China than in western countries, however its prevalence has been gradually increasing over the past thirty years. The disease burden shows notable variations based on sex, age, and geographic regions, indicating significant demographic and regional disparities. To guide decision-making priorities and direct future research, conducting high-quality epidemiological studies on asthma is crucial.

Risk factors and associations with atopic diseases in the pediatric population in Qatar

Introduction

Asthma is a common noncommunicable disease with public health implications due to the rising number of cases among the pediatric population in Qatar.

Aim

The objective of the current study is to explore possible risk factors and associations in relation to pediatric asthma, allergic rhinitis, and eczema cases in Qatar.

Methods

Using the Global Asthma Network questionnaires, this study sampled 2646 children, of which 1210 were aged 6-7 years and 1436 were aged 13-14 years in addition to 3831 adult parents or guardians. The STROBE guidelines were used to ensure the reporting of this cross-sectional study. Univariate and multivariate logistic regression were used to produce the odds ratio for the various risk factors and associated factors, respectively. Multiple associations and risk factors for each of the three diseases were reported.

Results

Based on the outcome of a multivariate logistic regression, being born in Qatar was the only risk factor present across all three diseases. Being male, wheezing ever, wheezing after exercise, and having eczema were other risk factors reported for asthma. Being in the older age group, wheezing ever, and having hay fever were other risk factors reported for allergic rhinitis.

Conclusion

The study concluded that further evaluation into associated and risk factors for asthma, allergic rhinitis, and eczema is warranted in the future.

[Severe asthma: Pathophysiology, diagnosis, and treatment]

Severe asthma is an entity with a complex diagnosis, requiring an adequate differential diagnosis and identification of endotypes for a correct approach and therapeutic process. In the present review, we show a synthesis of the current literature on the diagnosis, pathophysiology, and management of severe asthma, having critically analyzed the evidence in search engines such as Medline, Scopus, and Embase.

Improved ambient air quality is associated with decreased prevalence of childhood asthma and infancy shortly after weaning is a sensitive exposure window

BACKGROUND

The urban ambient air quality has been largely improved in the past decade. It is unknown whether childhood asthma prevalence is still increasing in ever top-ranking city of Shanghai, whether the improved air quality is beneficial for children's asthma and what time window of exposure plays critical roles.

METHODS

Using a repeat cross-sectional design, we analyzed the association between early life exposure to particles and wheezing/asthma in each individual and combined surveys in 2011 and 2019, respectively, in 11,825 preschool children in Shanghai.

RESULTS

A significantly lower prevalence of doctor-diagnosed asthma (DDA) (6.6% vs. 10.5%, p < 0.001) and wheezing (10.5% vs. 23.2%, p < 0.001) was observed in 2019 compared to 2011. Exposure to fine particulate matter (PM2.5), coarse particles (PM2.5-10) and inhalable particles (PM10) was decreased in 2019 by 6.3%, 35.4%, and 44.7% in uterus and 24.3%, 20.2%, and 31.8% in infancy, respectively. Multilevel log-binomial regression analysis showed exposure in infancy had independent association with wheezing/DDA adjusting for exposure in uterus. For each interquartile range (IQR) increase of infancy PM2.5, PM2.5-10 and PM10 exposure, the odds ratios were 1.39 (95% confidence interval (CI): 1.24-1.56), 1.51 (95% CI:1.15-1.98) and 1.53 (95% CI:1.27-1.85) for DDA, respectively. The distributed lag non-linear model showed the sensitive exposure window (SEW) was 5.5-11 months after birth. Stratified analysis showed the SEWs were at or shortly after weaning, but only in those with <6 months of exclusive breastfeeding.

CONCLUSIONS

Improved ambient PM benefits in decreasing childhood asthma prevalence. We firstly reported the finding of SEW to PM at or closely after weaning on childhood asthma.

Navigating the asthma network on Twitter: Insights from social network and sentiment analysis

Background

Asthma is a condition in which the airways become inflamed and constricted, causing breathing difficulties, wheezing, coughing, and chest tightness. Social networks can have a substantial effect on asthma management and results. However, no studies of social networks addressing asthma have been undertaken.

Objective

The aim of this research was to identify the significant social network structures, key influencers, top topics, and sentiments of asthma-related Twitter conversations.

Methods

All the tweets collected for this study included the keyword "asthma" or were mentioned in or in replies to tweets that were performed. For this study, a random sample of Twitter data was collected using NodeXL Pro software between December 1, 2022, and January 29, 2023. The data collected includes the user's display name, Twitter handle, tweet text, and the tweet's publishing date and time. After being imported into the Gephi application, the NodeXL data were then shown using the Fruchterman-Reingold layout method. In our study, SNA (Social Network Analysis) metrics were utilized to identify the most popular subject using hashtags, sentiment-related phrases (positive, negative, or neutral), and top influencer by centrality measures (degree, betweenness).

Results

The study collected 48,122 tweets containing the keyword "asthma" or mentioned in replies. News reporters and journalists emerged as top influencers based on centrality measures in Twitter conversations about asthma, followed by government and healthcare institutions. Education, trigger factors (e.g., cat exposure, diet), and associated conditions were highly discussed topics on asthma-related social media posts (e.g., sarscov2, copd). Our study's sentiment analysis revealed that there were 8427 phrases associated neutral comments (18%), 12,582 words reflecting positive viewpoints (26%), and 27,111 words reflecting negative opinions (56%).

Conclusion

This study investigates the relevance of social media influencers, news reporters, health experts, health organizations, and the government in the dissemination and promotion of asthma-related education and awareness during public health information.

Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US population

BACKGROUND

Asthma attacks are a major cause of morbidity and mortality in vulnerable populations, and identification of associations with asthma attacks is necessary to improve public awareness and the timely delivery of medical interventions.

OBJECTIVE

The study aimed to identify feature importance of factors associated with asthma in a representative population of US adults.

METHODS

A cross-sectional analysis was conducted using a modern, nationally representative cohort, the National Health and Nutrition Examination Surveys (NHANES 2017-2020). All adult patients greater than 18 years of age (total of 7,922 individuals) with information on asthma attacks were included in the study. Univariable regression was used to identify significant nutritional covariates to be included in a machine learning model and feature importance was reported. The acquisition and analysis of the data were authorized by the National Center for Health Statistics Ethics Review Board.

RESULTS

7,922 patients met the inclusion criteria in this study. The machine learning model had 55 out of a total of 680 features that were found to be significant on univariate analysis (P<0.0001 used). In the XGBoost model the model had an Area Under the Receiver Operator Characteristic Curve (AUROC) = 0.737, Sensitivity = 0.960, NPV = 0.967. The top five highest ranked features by gain, a measure of the percentage contribution of the covariate to the overall model prediction, were Octanoic Acid intake as a Saturated Fatty Acid (SFA) (gm) (Gain = 8.8%), Eosinophil percent (Gain = 7.9%), BMXHIP-Hip Circumference (cm) (Gain = 7.2%), BMXHT-standing height (cm) (Gain = 6.2%) and HS C-Reactive Protein (mg/L) (Gain 6.1%).

CONCLUSION

Machine Learning models can additionally offer feature importance and additional statistics to help identify associations with asthma attacks.

Impact of air pollution changes and meteorology on asthma outpatient visits in a megacity in North China Plain

The effects of air pollution and meteorology on asthma is less studied in North China Plain. In the last decade, air quality in this region is markedly mitigated. This study compared the short-term effects of air pollutants on daily asthma outpatient visits (AOV) within different sex and age groups from 2014 to 2016 and 2017-2019 in Tianjin, with the application of distributed lag nonlinear model. Moreover, relative humidity (RH) and temperature as well as the synergistic impact with air pollutants were assessed. Air pollutants-associated risk with linear (different reference values were used) and non-linear assumptions were compared. In 2014-2016, PM10 and PM2.5 exhibited a larger impact on AOV, with the corresponding cumulative excess risks (ER) for every 10 μg/m3 increase at 1.04 % (95%CI:0.67-1.40 %, similarly hereafter) and 0.79 % (0.35-1.23 %), as well as increased to 43 % (26-63 %) and 20 % (10-31 %) at severe pollution. In 2017-2019, NO2 and MDA8 O3 exhibited a larger impact on AOV, with a cumulative ER for every 10 μg/m3 increase at 1.0 (0.63-1.4 %) and 0.36 % (0.15-0.57 %), with corresponding values of 7.9 % (4.8-11 %) and 5.6 % (2.3-9.0 %), at severe pollution. SO2 associated risk was only significant from 2014 to 2016. Cold effect, including extremely low temperature exposure and sharp temperature drop could generate a pronounced increase in AOV at 9.6 % (3.8-16 %) and 24 % (9.1-41 %), respectively. Moderate low temperature combined with air pollutants can enhance AOV during winter. Higher temperature in spring and autumn could trigger asthma by increasing pollen levels. Low RH resulted in AOV increase by 4.6 % (2.4-6.9), while higher RH generated AOV increase by 3.4 % (1.6-5.3). Females, children, and older adults tended to have a higher risk for air pollution, non-optimum temperature, and RH. As air pollution-associated risks on AOV tends to be weaker due to air quality improvement in recent years, the impact of extreme meteorological condition amidst climate change on asthma visits warrants further attention.

Allergen Differences and Correlation Analysis in Siblings Diagnosed with Respiratory Allergic Diseases

INTRODUCTION

Many parents of children with allergies are worried whether their subsequent children will have allergic reactions to the same allergens. Much of the current research on sibling allergens has been focused on twins; however, in real life, very few children are twins. Our study provides an opportunity to initially explore the sensitivity to allergens in siblings diagnosed with respiratory allergic diseases.

METHODS

Siblings diagnosed with bronchial asthma and/or allergic rhinitis in the Outpatient Department of Allergy Department of Yantai Yuhuangding Hospital from January 2018 to December 2021 were selected. The siblings were divided into elder group and younger group. Data of gender, age, feeding history, serum total IgE (TIgE), absolute eosinophil counts, and allergen-specific IgE (sIgE) were collected and analyzed. The sIgEs of allergens were divided into six categories and analyzed.

RESULTS

A total of 98 sibling pairs of patients were included in this study. There were no differences in the positive rates of the different types of allergens, TIgE values, and the absolute eosinophil values between the elder and younger groups and between different genders. Logistic regression analysis indicated that the elder siblings allergic to dust mites, fungi, weed pollens, or food had a statistically significant increased risk of having their younger sibling sensitive to these types of allergens (all p <0.05), and the risk of allergy to dust mites, weed pollens, and tree pollens of younger group increased with age (all p <0.05). Except for the sIgE values of dust mites, the sIgE values of the other allergens were significantly correlated between the two groups (all p <0.05).

CONCLUSION

The positive rates of different allergens were similar between siblings. Elder siblings with dust mites, fungi, weed pollen, or food allergen positivity will have younger siblings sensitive to the same types of allergens.

Risk Assessment of Allergic Diseases Among Preschool Children in Guangzhou, China: A Cross-Sectional Study

Purpose

To investigate the lifestyle and stress of mothers during pregnancy to analyze the risk factors for the disease in early childhood.

Patients and Methods

A cross-sectional survey was conducted from January 2022 to June 2022 in a sub-district in Guangzhou, China. A total of 3437 valid questionnaires were eventually collected. The questionnaire consisted of 56 questions in three sections included questions on child's birth conditions and early life environment, questions on mother's lifestyle during pregnancy, and questions about father.

Results

49.75% of the children were likely to have allergic diseases (suspected allergy group). There were more boys in the suspected allergy group (58% vs 50%), and the percentage of children born at first birth was also higher in the suspected allergy group (61% vs 51%). 67% to 69% of children had suspicious allergies when one parent claimed an allergy, and 80.1% when both parents reported an allergy. The results of the multifactorial logistic model showed that male had 1.49 (1.28 to 1.73) times the risk of allergic diseases than female, and preterm births increased the risk of allergic diseases by 1.53 (1.13-2.07) times compared to full-term births. Both unplanned pregnancies and pregnancy complications increased the risk of allergic diseases in children before school age [1.34 (1.15-1.55) and 1.82 (1.46-2.26)]. Among pregnant women who reported regular passive smoking, the risk of the disease was increased 2.43 (1.71 to 3.50) times in preschool children. Reported allergies in all family members were significant risk factors for allergic diseases in children, especially mother [2.88 (2.41~3.46)]. In the prenatal period, maternal negative emotions are more common in children with suspected allergies.

Conclusion

Nearly half of the children in the region suffer from allergic diseases. Sex, birth order and full-term delivery all contributed to early childhood allergy. Family history of allergy, especially maternal, was the most important risk factor, and the number of family members with allergy was significantly associated with the allergy in children. Maternal effects are also reflected in prenatal conditions such as unplanned pregnancy, smoke exposure, pregnancy complications, and prenatal stress.

Association of Exclusive Breastfeeding with Asthma Risk among Preschool Children: An Analysis of National Health and Nutrition Examination Survey Data, 1999 to 2014

Breastmilk contains many important nutrients, anti-inflammatory agents, and immunomodulators. It is the preferred nutrition source for infants. However, the association of the duration of exclusive breastmilk feeding (BMF) with asthma development is unclear. Data on children from the United States who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 were obtained. We examined the association between the duration of exclusive BMF and asthma in 6000 children (3 to 6 years old). After calculating the duration of exclusive breastfeeding according to answers to NHANES questionnaires, the estimated duration of exclusive BMF was divided into five categories: never breastfed or BMF for 0 to 2 months after birth; BMF for 2 to 4 months after birth; BMF for 4 to 6 months after birth; and BMF for ≥6 months after birth. The overall prevalence of asthma in children aged 3 to 6 years was approximately 13.9%. The risk of asthma was lower in children with an exclusive BMF duration of 4 to 6 months (aOR, 0.69; 95% CI, 0.48–0.98), after adjustment for potentially confounding factors. Subgroup analysis revealed that children of younger ages (3 to 4 years old) benefited most from the protective effects of exclusive BMF for 4 to 6 months (aOR, 0.47; 95% CI, 0.27, 0.8). We found that exclusive BMF, especially BMF for 4 to 6 months, is associated with a decreased risk of asthma in preschool-age children. The protective effect appeared to be diminished in older children. The potential mechanism needs further investigation.

The Role of Early Life Microbiota Composition in the Development of Allergic Diseases

Allergic diseases are becoming a major healthcare issue in many developed nations, where living environment and lifestyle are most predominantly distinct. Such differences include urbanized, industrialized living environments, overused hygiene products, antibiotics, stationary lifestyle, and fast-food-based diets, which tend to reduce microbial diversity and lead to impaired immune protection, which further increase the development of allergic diseases. At the same time, studies have also shown that modulating a microbiocidal community can ameliorate allergic symptoms. Therefore, in this paper, we aimed to review recent findings on the potential role of human microbiota in the gastrointestinal tract, surface of skin, and respiratory tract in the development of allergic diseases. Furthermore, we addressed a potential therapeutic or even preventive strategy for such allergic diseases by modulating human microbial composition.

Time-Specific Factors Influencing the Development of Asthma in Children

Susceptibility to asthma is complex and heterogeneous, as it involves both genetic and environmental insults (pre- and post-birth) acting in a critical window of development in early life. According to the Developmental Origins of Health and Disease, several factors, both harmful and protective, such as nutrition, diseases, drugs, microbiome, and stressors, interact with genotypic variation to change the capacity of the organism to successfully adapt and grow in later life. In this review, we aim to provide the latest evidence about predictive risk and protective factors for developing asthma in different stages of life, from the fetal period to adolescence, in order to develop strategic preventive and therapeutic interventions to predict and improve health later in life. Our study shows that for some risk factors, such as exposure to cigarette smoke, environmental pollutants, and family history of asthma, the evidence in favor of a strong association of those factors with the development of asthma is solid and widely shared. Similarly, the clear benefits of some protective factors were shown, providing new insights into primary prevention. On the contrary, further longitudinal studies are required, as some points in the literature remain controversial and a source of debate.