Decision Tree Identified Risk Groups with High Suicidal Ideation in South Korea: A Population-Based Study

2015 ◽  
Vol 33 (2) ◽  
pp. 99-106 ◽  
Author(s):  
Hyun Kyung Kim ◽  
Ji Young Kim ◽  
Jong Hyen Kim ◽  
Hee Kyoung Hyoung
Keyword(s):  
Suicidal Ideation ◽  
Decision Tree ◽  
South Korea ◽  
Risk Groups ◽  
Population Based ◽  
Population Based Study

Preventive counseling on weight loss in patients with bronchial asthma according to population-based study

2021 ◽  
Author(s):  
Maria I. Kashutina ◽  
Yury V. Zhernov ◽  
Anna V. Kontsevaya
Keyword(s):  
Weight Loss ◽  
Decision Tree ◽  
Healthy Lifestyle ◽  
Risk Groups ◽  
Population Based ◽  
Population Based Study ◽  
Demographic Groups ◽  
Preventive Counseling ◽  
Close Relationship ◽  
General Indicator

Background: asthma and obesity have a close relationship: obesity is a risk factor for asthma, the link of its pathogenesis, a predictor of heavier flow and the worst control. One of the priorities of non-drug therapy of asthma is the fight against overweight. Preventive counseling allows doctors to teach patients the principles of a healthy lifestyle, including controlling body weight. There is no domestic population-based research reflects the coverage of overweighted persons with asthma of the counseling on weight loss in various socio-demographic groups. Thus our study is actual. Aims: Determine socio-demographic groups among overweighted patients with asthma that doesnt receive a counseling on weight loss. Materials and methods: This study based on cross-section population-based study "Know Your Heart" (2015-2018, Arkhangelsk, Novosibirsk, n=4504). For this research we selected overweighted patients with asthma (n=167). We applied the decision tree to identify socio-demographic groups that havent received a counseling on weight loss. Results: The probability of obtaining a counseling on weight loss increased by 1.39 times among obesity and pension status in women compared with the coverage level of counseling in the studied sample as a whole (61.7%). Among the men, the probability of obtaining a counseling on weight loss increased 1.27 times in the presence of obesity. Reducing the likelihood of getting counseling both among women (1.39 times compared with the general indicator) and among men (2.2 times compared with the general indicator) was noted if their weight corresponded to the category of excess body. Conclusion: 61.7% of the overweighted urban population of Russia with asthma received a counseling on weight loss. Groups of overweighted patients with asthma, which are statistically significantly less often obtaining counseling on weight loss: persons with BMI=25.0-29.9, regardless of gender, and non-retired women with BMI30.0. The decision tree developed by us will allow allergists-immunologists and other doctors to be wary of patients from the population groups identified in the study who are not covered by counseling. In turn, this will increase the coverage of patients from risk groups with counseling and, as a result, will contribute to improving asthma control.

scholarly journals Risk Factors for Pneumonia and Death in Adult Patients With Seasonal Influenza and Establishment of Prediction Scores: A Population-Based Study

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Koichi Miyashita ◽  
Eiji Nakatani ◽  
Hironao Hozumi ◽  
Yoko Sato ◽  
Yoshiki Miyachi ◽  
...  
Keyword(s):  
High Risk ◽  
Seasonal Influenza ◽  
Prediction Models ◽  
Validation Cohort ◽  
Risk Groups ◽  
Population Based ◽  
Limited Data ◽  
Population Based Study ◽  
Relative Risks ◽  
Primary Care Settings

Abstract Background Seasonal influenza remains a global health problem; however, there are limited data on the specific relative risks for pneumonia and death among outpatients considered to be at high risk for influenza complications. This population-based study aimed to develop prediction models for determining the risk of influenza-related pneumonia and death. Methods We included patients diagnosed with laboratory-confirmed influenza between 2016 and 2017 (main cohort, n = 25 659), those diagnosed between 2015 and 2016 (validation cohort 1, n = 16 727), and those diagnosed between 2017 and 2018 (validation cohort 2, n = 34 219). Prediction scores were developed based on the incidence and independent predictors of pneumonia and death identified using multivariate analyses, and patients were categorized into low-, medium-, and high-risk groups based on total scores. Results In the main cohort, age, gender, and certain comorbidities (dementia, congestive heart failure, diabetes, and others) were independent predictors of pneumonia and death. The 28-day pneumonia incidence was 0.5%, 4.1%, and 10.8% in the low-, medium-, and high-risk groups, respectively (c-index, 0.75); the 28-day mortality was 0.05%, 0.7%, and 3.3% in the low-, medium-, and high-risk groups, respectively (c-index, 0.85). In validation cohort 1, c-indices for the models for pneumonia and death were 0.75 and 0.87, respectively. In validation cohort 2, c-indices for the models were 0.74 and 0.87, respectively. Conclusions We successfully developed and validated simple-to-use risk prediction models, which would promptly provide useful information for treatment decisions in primary care settings.

Increased Morbidity of Major Depressive Disorder After Thyroidectomy: A Nationwide Population-Based Study in South Korea

Thyroid ◽  
2019 ◽  
Vol 29 (12) ◽  
pp. 1713-1722 ◽  
Author(s):  
Kwan Woo Choi ◽  
Yuwon Kim ◽  
Maurizio Fava ◽  
David Mischoulon ◽  
Eun Jin Na ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
South Korea ◽  
Population Based ◽  
Major Depressive ◽  
Population Based Study

Suicidal ideation and attempts in patients with stroke: a population-based study

2016 ◽  
Vol 263 (10) ◽  
pp. 2032-2038 ◽  
Author(s):  
Jae Ho Chung ◽  
Jung Bin Kim ◽  
Ji Hyun Kim
Keyword(s):  
Suicidal Ideation ◽  
Population Based ◽  
Population Based Study

scholarly journals APPLYING DECISION TREE FOR DETECTION OF A RISK FACTORS FOR TYPE 2 DIABETES: A POPULATION BASED STUDY

2017 ◽  
Vol 2 (1) ◽  
pp. 138-138
Author(s):  
Maryam Tayefi ◽  
Habibollah Esmaeily ◽  
Majid Ghayour-Mobarhan ◽  
Ali Reza Amirabadi zadeh
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Decision Tree ◽  
Population Based ◽  
Population Based Study
Sign in / Sign up

Export Citation Format

Share Document