Awareness regarding childhood asthma in Saudi Arabia

Alharbi, Saleh; Alharbi‎, Abdulrahman; Al-Khorayyef, Abdullah; Alqwaiee, Mansour M; Al-Shamarani, Abdullah; Al-Aslani, Wafa; Kamfar, Hayat Z.; Felemban, Osama; Barzanji, Mohammed M; Alharbi, Naser S; Dhabab, Ruqaia; Alomari, Mohammed A.; Yousef, Abdullah A

doi:10.4103/1817-1737.173194

Cited by 22 publications

(22 citation statements)

References 11 publications

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“…Results of this survey were compared to previously reported survey data conducted by Al-Harbi et al during the 2014 asthma awareness campaign in Saudi Arabia which also implemented the modified asthma knowledge questionnaire. 11 Asthma Knowledge Score Generation A numerical scoring system based on 25 points from the second portion of the survey was devised to evaluate asthma knowledge. The composite asthma knowledge score was calculated by giving correct answers a score of 1 and incorrect or "do-not-know" answers a score of 0.…”

Section: Methodsmentioning

confidence: 99%

“…11 This initial study concluded that asthma knowledge needs to be improved in the general population. 11 In order to follow-up on these findings, this study aims to use a modified Structured Asthma Knowledge Questionnaire to evaluate the effectiveness of the annual Saudi asthma awareness campaigns during 2014-2019, with an additional focus on childhood asthma.…”

Section: Introductionmentioning

confidence: 99%

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<p>Childhood Asthma Awareness in Saudi Arabia: Five-Year Follow-Up Study</p>

Alharbi

Kobeisy

AlKhater

et al. 2020

JAA

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Background: Bronchial asthma is a chronic inflammatory airway disease that is characterized by reversible airway obstruction due to bronchial hyperresponsiveness. It is one of the most common chronic diseases. In Saudi Arabia, asthma affects 2 million people with asthma frequency in children markedly higher than adults with regional variations ranging from 9% to 33.7%. Objective: The aim of this study is to measure asthma awareness and knowledge of study participants during the ongoing annual Saudi asthma awareness campaigns and compare them with previous survey data conducted in 2014. Methods: A cross-sectional study was carried out in the form of a survey distributed across three major cities in Saudi Arabia, Jeddah, Riyadh and Dammam, during the National Asthma Awareness Campaign in major regional shopping centers in April 2019. Asthma knowledge scores across different demographic groups were generated from surveyed data. Descriptive and correlative statistical analyses were performed to identify factors associated with changes in asthma knowledge. Scores were compared to previous survey results. Results: The mean score for asthma knowledge was 15.6 out of 25. Asthma knowledge significantly correlated with age (P=0.002), asthma status of the participants (P=0.001), having children with asthma (P=0.005) or knowing friends or family with asthma (P=0.029) but not with other socioeconomic factors such as gender, marital status, occupation, level of education and number of children in the family (P > 0.05). There was a significant difference in the asthma scores from 2014 (M= 63%, SD=26) to 2019 (M= 70%, SD= 26) conditions; t (24) = −2.106, p=0.046. Conclusion: Further educational campaigns are necessary to enhance and measure general public awareness of asthma, its differential diagnosis against other respiratory infections, environmental triggers, risk factors as well as treatment options.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

<p>Childhood Asthma Awareness in Saudi Arabia: Five-Year Follow-Up Study</p>

Alharbi

Kobeisy

AlKhater

et al. 2020

JAA

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“…Another important point to make is that this overview leaves room for treatments that are not always considered in the clinic. The first is nutritional support . Indeed, there is little to no evidence that particular nutrients can support either phase of a vitiligo cure.…”

Section: Commentarymentioning

confidence: 99%

“…As we learn more about signaling and the role of critical nutrients in processes important to cellular biochemistry, nutrition can become a factor in the healing process. The second is psychological support . It can be helpful for patients to share experiences and receive counseling either through professional help, or by patient support groups.…”

Section: Commentarymentioning

confidence: 99%

Vitiligo treatment demystified: a flowchart for stratified treatment approaches

Tung

Poole

2014

Experimental Dermatology

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The recent publication by Anbar et al. in the April issue of this journal, delineating and prioritizing treatment options for vitiligo, is both timely and significant. First and foremost, this work brings to the forefront the important message that vitiligo truly is a treatable disease. All too often, patients refrain from seeking treatment as public opinion dictates that vitiligo is not an important disease, there are no effective treatments available, and insurance will not cover attempts to treat. By providing clear guidelines of treatments to be considered, practicing physicians seeing an occasional vitiligo patient will be more readily inclined to explore the possibilities currently available for enhancing the quality of life of this patient group.

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“…In [28], a comparative study investigated SVM and Decision Tree C4.5 models using 17658 self-collected documents. The results indicated that Decision Trees Model has more accurate classification than SVM when dealing with the Arabic textual Data.…”

Section: B Related Work In Arabic Text Categorizationmentioning

confidence: 99%

Improving Credit Scorecard Modeling Through Applying Text Analysis

Ghailan¹,

Hoda²,

Hegazy³

2016

ijacsa

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Abstract-In the credit card scoring and loans management, the prediction of the applicant's future behavior is an important decision support tool and a key factor in reducing the risk of Loan Default. A lot of data mining and classification approaches have been developed for the credit scoring purpose. For the best of our knowledge, building a credit scorecard by analyzing the textual data in the application form has not been explored so far. This paper proposes a comprehensive credit scorecard model technique that improves credit scorecard modeling though employing textual data analysis. This study uses a sample of loan application forms of a financial institution providing loan services in Yemen, which represents a real-world situation of the credit scoring and loan management. The sample contains a set of Arabic textual data attributes defining the applicants. The credit scoring model based on the text mining pre-processing and logistic regression techniques is proposed and evaluated through a comparison with a group of credit scorecard modeling techniques that use only the numeric attributes in the application form. The results show that adding the textual attributes analysis achieves higher classification effectiveness and outperforms the other traditional numerical data analysis techniques.

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Awareness regarding childhood asthma in Saudi Arabia

Cited by 22 publications

References 11 publications

<p>Childhood Asthma Awareness in Saudi Arabia: Five-Year Follow-Up Study</p>

<p>Childhood Asthma Awareness in Saudi Arabia: Five-Year Follow-Up Study</p>

Vitiligo treatment demystified: a flowchart for stratified treatment approaches

Improving Credit Scorecard Modeling Through Applying Text Analysis

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