• Journal of Korean Academy of Nursing
• /
• v.31 no.3
• /
• pp.477-491
• /
• 2001

Purpose: This study was designed to construct a structural model for health promoting behavior in patients with chronic respiratory disease. A hypothetical model was developed based on the literature review. Method: Data was collected by questionnaires from 235 patients with chronic respiratory disease in a General Hospital in Seoul. Data analysis was done using SAS 6.12 for descriptive statistics and the PC-LISREL 8.13 Program for Covariance Structural Analysis. Result: The results are as follows : 1. The fit of the hypothetical model to the data was moderate. It was modified by excluding 2 path and including free parameters and 3 path to it. The modified model with path showed a good fitness to the empirical data($\chi$2=80.20, P=0.05, GFI=0.95, AGFI=0.88, NNFI=0.95, NFI=0.96, RMSR=0.01, RMSEA =0.06). 2. The perceived benefits, self-efficacy, and a plan of action were found to have significant direct effects on the health promoting behavior in patients with chronic respiratory disease. 3. The health perception, self-esteem, and activity related to affect were found to have indirect effects on the health promoting behavior in patients with chronic respiratory disease. Conclusion: The modified model of this study is considered appropriate in explaining and predicting health promoting behavior in patients with chronic respiratory disease. Therefore, it can effectively be used as a reference model for further studies and suggested direction in nursing practice.

• The Journal of Korean Physical Therapy
• /
• v.25 no.5
• /
• pp.330-336
• /
• 2013

Purpose: Respiratory is an essential vital component for conservation of life in human, which is controlled by respiratory muscles and its related neuromuscular regulation. The purpose of this study is to assess lung capacity and respiratory pressure in healthy children, and to investigate relationship and predictability between respiratory pressure and other related respiratory functions. Methods: A total of 31 healthy children were recruited for this study. Demographic information and respiratory related factors were assessed in terms of body surface area (BSA), chest mobility, lung capacity, and respiratory pressure. Correlation between respiratory pressure and the rested variables was analyzed, and multiple regression using the stepwise method was performed for prediction of respiratory muscle strength, in terms of respiratory pressure as the dependent variable, and demographic and other respiratory variables as the independent variable. Results: According to the results of correlation analysis, respiratory pressure showed significant correlation with age (r=0.62, p<0.01), BSA (r=0.80, p<0.01), FVC (r=0.80, p<0.01), and FEV1 (r=0.70, p<0.01). In results of multiple regression analysis using the backward elimination method, BSA and FVC were included as significant factors of the predictable statistical model. The statistical model showed a significant explanation power of 71.8%. Conclusion: These findings suggest that respiratory pressure could be a valuable measurement tool for evaluation of respiratory function, because of significant relationship with physical characteristics and lung capacity, and that BSA and FVC could be possible predictable factors to explain the degree of respiratory pressure. These findings will provide useful information for clinical assessment and treatment in healthy children as well as those with pulmonary disease.

• Physical Therapy Rehabilitation Science
• /
• v.10 no.3
• /
• pp.328-336
• /
• 2021

Objective: The purpose of this study was to investigate the effect of cervical range of motion training on the change in respiratory function growth rate at the group and individual level in stroke patients and stroke patients with tracheostomy tube. Design: A Multilevel Growth Model Methods: 8 general stroke patients and 6 stroke patients who had a tracheostomy tube inserted were subjected to cervical range of motion training 3 times a week for 4 weeks. Force vital capacity (FVC), Forced expiratory volume in the first second (FEV1), Forced expiration ratio (FEV1/FVC) and Manual assist peak cough flow (MPCF) were measured. Data were analyzed using descriptive statistics and multilevel analysis with HLM 8.0. Results: A significant difference was found in the respiratory function analysis growth rate of the entire group (p<0.05), and two groups were added to the research model. The linear growth rate of respiratory function in patients with general stroke increased with the exception of FEV1/FVC (p<0.05). Stroke patients with tracheostomy tube showed a decreasing pattern except for FVC. In particular, MPCF showed a significantly decreased result (p<0.05). Conclusions: This study found that the maintenance of improved respiratory function in stroke patients with tracheostomy tube decreased over time. However, cervical range of motion training is still a useful method for respiratory function in general stroke patients and stroke patients with tracheostomy tube.

• Journal of the Korean Data and Information Science Society
• /
• v.14 no.3
• /
• pp.615-622
• /
• 2003

The severe acute respiratory syndrome(SARS) is a novel infectious disease with global impact. The rapid worldwide spread of SARS has led to 30 countries reporting cases of July 13, 2003. In this paper, we develop a statistical model for SARS-caused-death data under some assumptions. The model developed is a continuous time Markov process with a constant intensity for each stage.

• Journal of Environmental Science International
• /
• v.30 no.7
• /
• pp.573-584
• /
• 2021

To analyze the effects of PM₁₀ and PM_2.5 on daily mortality cases, the relations of death counts from natural causes, respiratory diseases, and cardiovascular diseases with PM₁₀ and PM_2.5 concentrations were applied to the generalized additive model (GAM) in this study. From the coefficients of the GAM model, the excessive mortality risks due to an increase of 10 ㎍/m³ in daily mean PM₁₀ and PM_2.5 for each cause were calculated. The excessive risks of deaths from natural causes, respiratory diseases, and cardiovascular diseases were 0.64%, 1.69%, and 1.16%, respectively, owing to PM₁₀ increase and 0.42%, 2.80%, and 0.91%, respectively, owing to PM_2.5 increase. Our result showed that particulate matter posed a greater risk of death from respiratory diseases and is consistent with the cases in Europe and China. The regional distribution of excessive risk of death is 0.24%-0.81%, 0.34%-2.6%, and 0.62%-1.94% from natural causes, respiratory diseases, and cardiovascular diseases, respectively, owing to PM₁₀ increase, and 0.14%-1.02%, 1.07%-3.92%, and 0.22%-1.73% from natural causes, respiratory diseases, and cardiovascular diseases, respectively, owing to PM_2.5 increase. Our results represented a different aspect from the regional concentration distributions. Thus, we saw that the concentration distributions of air pollutants differ from the affected areas and identified the need for a policy to reduce damage rather than reduce concentrations.

• Genomics & Informatics
• /
• v.19 no.2
• /
• pp.15.1-15.7
• /
• 2021

The direction of evolution can estimate based on the variation among nonsynonymous to synonymous substitution. The simulative study investigated the nucleotide sequence of closely related strains of respiratory syndrome viruses, codon-by-codon with maximum likelihood analysis, z selection, and the divergence time. The simulated results, dN/dS > 1 signify that an entire substitution model tends towards the hypothesis's positive evolution. The effect of transition/transversion proportion, Z-test of selection, and the evolution associated with these respiratory syndromes, are also analyzed. Z-test of selection for neutral and positive evolution indicates lower to positive values of dN-dS (0.012, 0.019) due to multiple substitutions in a short span. Modified Nei-Gojobori (P) statistical technique results also favor multiple substitutions with the transition/transversion rate from 1 to 7. The divergence time analysis also supports the result of dN/dS and imparts substantiating proof of evolution. Results conclude that a positive evolution model, higher dN-dS, and transition/transversion ratio significantly analyzes the evolution trend of severe acute respiratory syndrome coronavirus 2, severe acute respiratory syndrome coronavirus, and Middle East respiratory syndrome coronavirus.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.11
• /
• pp.21-31
• /
• 2021

As the COVID-19 pandemic rapidly changes healthcare around the globe, the need for smart healthcare that allows for remote diagnosis is increasing. The current classification of respiratory diseases cost high and requires a face-to-face visit with a skilled medical professional, thus the pandemic significantly hinders monitoring and early diagnosis. Therefore, the ability to accurately classify and diagnose respiratory sound using deep learning-based AI models is essential to modern medicine as a remote alternative to the current stethoscope. In this study, we propose a deep learning-based respiratory sound classification model using data collected from medical experts. The sound data were preprocessed with BandPassFilter, and the relevant respiratory audio features were extracted with Log-Mel Spectrogram and Mel Frequency Cepstral Coefficient (MFCC). Subsequently, a Parallel CNN network model was trained on these two inputs using stacking ensemble techniques combined with various machine learning classifiers to efficiently classify and detect abnormal respiratory sounds with high accuracy. The model proposed in this paper classified abnormal respiratory sounds with an accuracy of 96.9%, which is approximately 6.1% higher than the classification accuracy of baseline model.

• Tuberculosis and Respiratory Diseases
• /
• v.81 no.4
• /
• pp.350-350
• /
• 2018

• The Korean Journal of Physiology and Pharmacology
• /
• v.28 no.3
• /
• pp.229-237
• /
• 2024

Cough is a common symptom of several respiratory diseases. However, frequent coughing from acute to chronic often causes great pain to patients. It may turn into cough variant asthma, which seriously affects people's quality of life. For cough treatment, it is dominated by over-the-counter antitussive drugs, such as asmeton, but most currently available antitussive drugs have serious side effects. Thus, there is a great need for the development of new drugs with potent cough suppressant. BALB/c mice were used to construct mice model with cough to investigate the pharmacological effects of pectolinarigenin (PEC). Hematoxylin-eosin and Masson staining were used to assess lung injury and airway remodeling, and ELISA was used to assess the level of inflammatory factor release. In addition, inflammatory cell counts were measured to assess airway inflammation. Airway hyperresponsiveness assay was used to assess respiratory resistance in mice. Finally, we used Western blotting to explore the potential mechanisms of PEC. We found that PEC could alleviate lung tissue injury and reduce the release of inflammatory factors, inhibit of cough frequency and airway wall collagen deposition in mice model with cough. Meanwhile, PEC inhibited the Ras/ERK/c-Fos pathway to exhibit antitussive effect. Therefore, PEC may be a potential drug for cough suppression.

• Journal of Environmental Health Sciences
• /
• v.32 no.5 s.92
• /
• pp.412-417
• /
• 2006

A self-administrated non-malignant respiratory symptoms questionnaire was sent to 1,099 citizens who take subway running in Seoul city. Symptom prevalence rate was high: 70.6% of subjects reported 'chest tightness', 43.4%, 'dysphnea'; 76.2%, 'dry cough'; 49.5%, 'runny nose'; 94.4%, 'drowsiness' when they take subway. The groups responding significant higher respiratory and drowsiness symptoms were 'young passengers' (vs elderly passengers), 'the female' (vs male), 'using subway everyday' (vs often), 'using subway for rush-hour time' (vs other than rush-hour), 'using transfer subway' (no transfer), 'using underground track' (vs ground track). Logistic. regression model was employed to find personal and subway characteristics affecting non-malignant respiratory symptoms. This study concluded that respiratory diseases history such as asthma, rhinitis, sinusitis, hypersensitivity pneumonitis significantly affect 'dry cough' and 'runny nose'. Thus, passengers with respiratory diseases history shows 2.8 times greater 'dry cough' than and 3.4 times greater 'runny nose' than those passengers without respiratory diseases history felt. This results indicated that several measures have to take to protect sensitive groups such as passengers with respiratory diseases, children and elderly people. Also passenger who use to transfer shows 1.7 times higher runny nose symptoms than that passenger who do not transfer felt.