<div>BackgroundAsthma, a prevalent and severe chronic respiratory condition, can be significantly managed and controlled through informed awareness about the disease and pulmonary rehabilitation strategies, thereby enhancing patients’ health-related quality of life.ObjectiveTo determine the knowledge and awareness of Bronchial asthma and pulmonary rehabilitation among asthma-diagnosed patients in the United Arab Emirates.MethodsUtilizing a cross-sectional study design, 237 asthma patients, aged 18 and above, were recruited from the Royal NMC Hospital, Sharjah. A comprehensive questionnaire was administered, focusing on two critical domains: understanding of the disease and knowledge about pulmonary rehabilitation. Data analysis was performed using the Statistical Package for Social Sciences (SPSS) software, version 26.ResultsThe majority of participants (31.6%) reported the onset of asthma before reaching two years of age. Bronchodilators emerged as the most used medication, utilized by 31.6% of the respondents. Weather conditions (34.6%) were identified as the most prevalent risk factor. Chi-square tests revealed no significant correlations between gender and knowledge about asthma (p = 0.278) or pulmonary rehabilitation awareness (p = 0.929). A negative correlation was found between age and knowledge about asthma (p<0.001), but not with pulmonary rehabilitation awareness (p = 0.731). Education demonstrated no significant association with either knowledge about asthma (p = 0.974) or awareness of pulmonary rehabilitation (p = 0.676).ConclusionThe study implies that most people have a basic understanding of asthma. However, there are still significant gaps in their knowledge. For instance, many aren’t sure how asthma is influenced by exercise or which parts of the body are affected. Also, understanding about therapies such as lung rehabilitation, and the contributions physical therapists can make in addressing lung problems, is only average. Interestingly, these knowledge gaps are not related to a person’s age or their educational background.</div>

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Multivariate analysis*.

Daniel Bejarano-Quisoboni (6325430), Nathalie Pelletier-Fleury (325738), Rodrigue S. Allodji (12647161) et al. · Figshare · 2022

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Multivariate Analysis.

Alessandra D’Abramo (2511949), Maria Antonella Zingaropoli (2511958), Alessandra Oliva (2511952) et al. · Figshare · 2016

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Multivariate analysis.

Arto Yuwono Soeroto (6411806), Raden Desy Nurhayati (12015210), Aga Purwiga (12015213) et al. · Figshare · 2022

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Multivariate analysis.

Tsutomu Ueda (6249014), Kouhei Yumii (12936774), Yuji Urabe (134994) et al. · Figshare · 2022

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Multivariate Analysis

Michael V. Boland, Robert F. Murphy · Current Protocols in Cytometry · 1998

principal components analysis; cluster analysis; FCS file format One of the goals of Current Protocols is to provide information from the very basic level to the very advanced.

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Multivariate Analysis

Edward K. Vogel, Ed Awh, Kirsten Adam · OSF Preprints (OSF Preprints) · 2024

Code needed to run the main multivariate analyses.

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Multivariate Analysis

Ioannis Arvanitoyannis · Food science and technology · 2006

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multivariate analysis

Duncan Cramer, Dennis Howitt · The SAGE Dictionary of Statistics · 2004

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Multivariate Analysis

Andrew R. Baggaley · Evaluation Review · 1981

A diagram is used to aid discussion of how several of the frequently used multivariate statistical techniques are interrelated. All of those discussed can be regarded as special cases of canonical correlation.

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Multivariate analysis

Jack Grieve · Cambridge University Press eBooks · 2016

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

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Multivariate Analysis

Peter Josephat (corresponding, Abbas Ismail · 2015

This paper analyzed variables that used to measure job and work attitude of an employee in an organization. Analysis was done using multivariate analysis. Data used was collected from Dodoma and Musoma municipalities as the municipalities were randomly selected. A sample size of the study was 118. Cross sectional research design was adopted. The study found that there are five factors which influence job and work attitude. These are satisfaction, independency, teamwork, freedom of expression and supervisory relationship. All these factors are significantly positive related to dependent variable job and work attitude.

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Multivariate analysis

Slavec, Ana · Zenodo (CERN European Organization for Nuclear Research) · 2019

Fifth part of statistics course materials for the Sustainable Built Environment programme (master level) at the Faculty of Mathematics, Natural Sciences and Information Technology, University of Primorska. The topic is multivariate techniques: bivariate regression, multivariate regression, control variables, spurious and intervening relationships, partial correlations, multivariate regression models, non-linearity. Fourth part available here: https://zenodo.org/record/3911853#.XvjnsCgzYuV

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