Data Mining Practical Machine Learning Tools and Techniques

Health At A Glance

Behavioral and psychological symptoms of dementia

Which modifiable health risk behaviours are related? A systematic review of the clustering of Smoking, Nutrition, Alcohol and Physical activity (‘SNAP’) health risk factors

https://archive-ouverte.unige.ch/unige:111231/ATTACHMENT01

ESPEN guideline clinical nutrition in neurology

Purpose This study investigated the relationship between 2-year-old children’s exposure to TV and language delay. Methods The subjects of this study were 1,778 toddlers (906 males and 872 females) who participated in the Panel Study on Korean Children conducted in 2010. The linguistic ability of the toddlers was measured with the K-ASQ (Korean-Ages and Stages Questionnaire). The relationship between the amount of young children’s exposure to TV and language delay was analyzed with Poisson regression. Results The average daily TV watching time of 2-year-old Korean toddlers in this study was 1.21 hours. After all confounding variables were adjusted, toddlers with over 2 hours and less than 3 hours of TV watching time had 2.7 times more risk (RR = 2.74, 95% CI: 1.13–6.65) of language delay than those with less than 1 hour of TV watching time. Those with more than 3 hours of TV watching time had approximately 3 times (RR = 3.03, 95% CI: 1.12–8.21) more risk (p<0.05). In addition, the risk of language delay increased proportionately with the increase in toddlers’ TV watching time (p = 0.004). Conclusion Two-year-old Korean toddlers’ average daily TV watching time of more than 2 hours was related with language delay.

/pdf/relationship-between-television-viewing-and-language-delay-n6se6vah5z.pdf

Relationship between television viewing and language delay in toddlers: evidence from a Korea national cross-sectional survey.

Background/Aim: To investigate the multiple effects of socioeconomic factors on cognitive impairment in older persons. Methods: Subjects were a nationally represe

Multiple socioeconomic risks and cognitive impairment in older adults.

Background and Objectives: Identifying the risk factors of teachers’ voice disorders is very important for preventing voice disorders and the recurrence of them. This meta-study identified risk factors associated with teachers’ voice disorders through systematic review and meta-analysis and provided basic data for preventing them. Materials and Methods: This study collected literature on the risk factors of teachers’ voice disorders using six databases (i.e., CINAHL, EBSCO, PUBMED, SCOPUS, Web of Science, and Springer Link). Search was limited to studies published between 1 January 2000 and 15 October 2018, and a total of 16 publications were selected for the analysis of this study. The quality of selected literature was assessed using the “Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields”. The effect size was analyzed by odds ratio and 95% confidence interval. Results: The results of the quality assessment ranged from 20 to 24 points with six strong studies and ten good studies. The meta-analysis showed that gender, upper airway problems, caffeine consumption, speaking loudly, number of classes per week, and resignation experience due to voice problems were the major risk factors of teachers’ voice disorders. On the other hand, age, number of children, drinking, physical activity, smoking, water intake, singing habits, duration of teaching, perception of noise inside the school, number of classes per day, noise assessment inside the classroom, and perception of technology and instruments inside the workplace were not significantly related to voice disorders. Conclusions: Longitudinal studies should be conducted in the future to confirm causality between voice disorders and risk factors based on the results of this study.

The Risk Factors Related to Voice Disorder in Teachers: A Systematic Review and Meta-Analysis

Objectives/Hypothesis:

This study's objectives were to assess the prevalence rate of laryngeal pathologies in the Korean elderly, and to examine the association of smoking and alcohol consumption with laryngeal diseases.



Study Design:

Cross-sectional study.



Methods:

Data were from the 2008 Korea National Health and Nutritional Examination Survey. Subjects were 663 elderly persons (261 men and 402 women) between the ages of 65 and 84 years who completed the laryngoscopic examination. Weighted prevalence of laryngeal pathologies was compared by demographic characteristics, smoking, alcohol drinking, body mass index, and self-reported voice problems. Multiple logistic regression analyses were conducted to examine the independent as well as combined influence of smoking and alcohol consumption on laryngeal lesions.



Results:

The prevalence of laryngeal pathologies in the Korean elderly between the ages of 65 and 84 years was 8.1%. The prevalence of laryngeal lesions increased with age and was higher among men, middle school and high school graduates, manual workers, current smokers, current alcohol drinkers, and those with self-reported voice problems. Adjusting for covariates, current smokers, compared with nonsmokers, were more likely to have laryngeal pathologies (odds ratio [OR], 2.18; 95% confidence interval [CI], 1.01–4.67). Current alcohol drinking was not independently associated with laryngeal diseases. Concurrent smoking and alcohol drinking, however, were associated with a significantly higher risk of laryngeal pathologies (OR, 3.29; 95% CI, 1.22–8.88).



Conclusions:

Smoking and alcohol consumption may increase the risk of laryngeal diseases in later life.

Laryngeal pathologies in older Korean adults and their association with smoking and alcohol consumption

Because it is possible to delay the progression of dementia if it is detected and treated in an early stage, identifying mild cognitive impairment (MCI) is an important primary goal of dementia treatment. The objectives of this study were to develop a random forest-based Parkinson's disease with mild cognitive impairment (PD-MCI) prediction model considering health behaviors, environmental factors, medical history, physical functions, depression, and cognitive functions using the Parkinson's Dementia Clinical Epidemiology Data (a national survey conducted by the Korea Centers for Disease Control and Prevention) and to compare the prediction accuracy of our model with those of decision tree and multiple logistic regression models. We analyzed 96 subjects (PD-MCI = 45; Parkinson's disease with normal cognition (PD-NC) = 51 subjects). The prediction accuracy of the model was calculated using the overall accuracy, sensitivity, and specificity. Based on the random forest analysis, the major risk factors of PD-MCI were, in descending order of magnitude, Clinical Dementia Rating (CDR) sum of boxes, Untitled Parkinson's Disease Rating (UPDRS) motor score, the Korean Mini Mental State Examination (K-MMSE) total score, and the K- Korean Montreal Cognitive Assessment (K-MoCA) total score. The random forest method achieved a higher sensitivity than the decision tree model. Thus, it is advisable to develop a protocol to easily identify early stage PDD based on the PD-MCI prediction model developed in this study, in order to establish individualized monitoring to track high-risk groups.

https://www.mdpi.com/1660-4601/17/7/2594/pdf

Is the Random Forest Algorithm Suitable for Predicting Parkinson's Disease with Mild Cognitive Impairment out of Parkinson's Disease with Normal Cognition?

Haewon Byeon

Papers

Relationship between television viewing and language delay in toddlers: evidence from a Korea national cross-sectional survey.

Multiple socioeconomic risks and cognitive impairment in older adults.

The Risk Factors Related to Voice Disorder in Teachers: A Systematic Review and Meta-Analysis

Laryngeal pathologies in older Korean adults and their association with smoking and alcohol consumption

Is the Random Forest Algorithm Suitable for Predicting Parkinson's Disease with Mild Cognitive Impairment out of Parkinson's Disease with Normal Cognition?