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1.
Clinical Psychopharmacology and Neuroscience ; : 303-312, 2021.
Article in English | WPRIM | ID: wpr-897911

ABSTRACT

Objective@#Behavioral assessments that effectively predict sleep-wake states were tried in animal research. This study aimed to examine the prediction power of an infrared locomotion detector on the sleep-wake states in ICR (Institute Cancer Research) mice. We also explored the influence of the durations and ways of data processing on the prediction power. @*Methods@#The locomotor activities of seven male mice in home cages were recorded by infrared detectors. Their sleep-wake states were assessed by video analysis. Using the receiver operating characteristic curve analysis, the cut-off score was determined, then the area under the curve (AUC) values of the infrared motion detector that predicted sleep-wake states were calculated. In order to improve the prediction power, the four ways of data processing on the prediction power were performed by Matlab 2013b. @*Results@#In the initial analysis of raw data, the AUC value was 0.785, but it gradually reached to 0.942 after data summation. The simple data averaging and summation among four different methods showed the maximal AUC value. The 10-minute data summation improved sensitivity (0.889) and specificity (0.901) significantly from the baseline value (sensitivity 0.615; specificity 0.936) (p < 0.001). @*Conclusion@#This study suggests that the locomotor activity measured by an infrared motion detector might be useful to predict the sleep-wake states in ICR mice. It also revealed that only simple data summation may improve the predictive power. Using daily locomotor activities measured by an infrared motion detector is expected to facilitate animal research related to sleep-wake states.

2.
Clinical Psychopharmacology and Neuroscience ; : 303-312, 2021.
Article in English | WPRIM | ID: wpr-890207

ABSTRACT

Objective@#Behavioral assessments that effectively predict sleep-wake states were tried in animal research. This study aimed to examine the prediction power of an infrared locomotion detector on the sleep-wake states in ICR (Institute Cancer Research) mice. We also explored the influence of the durations and ways of data processing on the prediction power. @*Methods@#The locomotor activities of seven male mice in home cages were recorded by infrared detectors. Their sleep-wake states were assessed by video analysis. Using the receiver operating characteristic curve analysis, the cut-off score was determined, then the area under the curve (AUC) values of the infrared motion detector that predicted sleep-wake states were calculated. In order to improve the prediction power, the four ways of data processing on the prediction power were performed by Matlab 2013b. @*Results@#In the initial analysis of raw data, the AUC value was 0.785, but it gradually reached to 0.942 after data summation. The simple data averaging and summation among four different methods showed the maximal AUC value. The 10-minute data summation improved sensitivity (0.889) and specificity (0.901) significantly from the baseline value (sensitivity 0.615; specificity 0.936) (p < 0.001). @*Conclusion@#This study suggests that the locomotor activity measured by an infrared motion detector might be useful to predict the sleep-wake states in ICR mice. It also revealed that only simple data summation may improve the predictive power. Using daily locomotor activities measured by an infrared motion detector is expected to facilitate animal research related to sleep-wake states.

3.
Annals of Occupational and Environmental Medicine ; : 17-2016.
Article in English | WPRIM | ID: wpr-8189

ABSTRACT

BACKGROUND: To identify adverse pulmonary health effects due to air pollution derived from a cement plant in Korea. The emphysema prevalence in residents around a cement plant was compared to that in the group who live far away from the plant by chest films (PA and lateral view) and high-resolution computed tomography (HRCT) lung images. METHODS: From June to August in 2013 and from August to November in 2014, chest films and HRCT scan were conducted on residents over the age of 40 who lived around a cement plant. The residents were divided into two groups; a “more exposed group (MEG)” which consisted of 1,046 people who lived within a 1 km radius and a “less exposed group (LEG)” which consisted of 317 people who lived more than 5 km away from the same plant. We compared the emphysema prevalence and estimated the OR of this between the MEG and the LEG by using a chi-square and logistic regression on chest films and HRCT. RESULTS: The emphysema prevalence was 9.1 % in the LEG, 14.3 % in the MEG on chest films and 11.4 %, 17.8 % on the HRCT, respectively. The OR of the emphysema prevalence in MEG was 2.92 (95 % CI 1.77-4.83) on the chest films, 2.56 (95 % CI 1.64–3.99) on the HRCT after sex, age, body mass index (BMI), smoking history, residency period and firewood used history were adjusted. The OR in the less than 29 pack-years smoking history was 1.66 (95 % CI 0.92–3.06) and in the more than 30 pack-years was 3.05 (95 % CI 1.68–5.52) on the chest films, and was 1.68 (95 % CI 0.98–2.90), 2.93 (95 % CI 1.72–4.98) on the HRCT, respectively. CONCLUSION: The emphysema prevalence seems to be affected by the level of exposure to air pollution derived from the cement plant as well as sex, age, BMI, and smoking history in this study. Moreover, the OR of the case of the more exposed to the air pollution was similar to that of the case in smoking.


Subject(s)
Air Pollution , Body Mass Index , Emphysema , Internship and Residency , Korea , Leg , Logistic Models , Lung , Plants , Prevalence , Radius , Smoke , Smoking , Thorax
4.
Annals of Occupational and Environmental Medicine ; : 52-2016.
Article in English | WPRIM | ID: wpr-173898

ABSTRACT

BACKGROUND: To identify adverse renal effects due to air pollution derived from a cement plant in Korea. Urinary n-acetyl-B-glucosaminidase (U-NAG) levels in residents living near a cement plant were compared to those in a group who lived farther away from the plant. METHODS: From June to August 2013 and from August to November 2014, laboratory tests for U-NAG and heavy metal were conducted on 547 study participants. Based on the level of air pollution exposure, subjects were divided into the “less exposed group,” (LEG) which consisted of 66 persons who lived more than 5 km away from the cement plant, the “more exposed group from the rural area” (MEG-R), which consisted of 272 persons, and the “more exposed group from downtown area” (MEG-D), which consisted of 209 persons who lived within a 1 km radius of the cement plant. U-NAG levels >5.67 U/L were defined as “higher U-NAG” levels. We compared the prevalence of higher U-NAG levels and estimated the adjusted odds ratio (OR) by air pollution exposure using a chi-square test and multiple logistic regression analysis. Further, we estimated the interaction between air pollution exposure and heavy metal exposure in renal toxicity. RESULTS: The OR of higher U-NAG levels by MEG-D and MEG-R compared to LEG was 2.13 (95 % CI 0.86–4.96) and 4.79 (95 CI 1.65–10.01), respectively. Urinary cadmium (U-Cd), urinary mercury (U-Hg), age, occupation, hypertension, and diabetes had a significant association with higher U-NAG levels. However, blood lead (B-Pb), sex, and smoking were not associated with higher U-NAG. Especially, concurrent exposure to heavy metals (U-Hg or/and U-Cd) and air pollution had an additive adverse effect. In the group with both 4th quartile heavy metal exposure (U-Cd or/and U-Hg) and air pollution exposure, the OR in MEG-R and MEG-D was 6.49 (95 % 1.42–29.65) and 8.12 (95 % CI 1.74–37.92), respectively, after adjustment for age, occupation, hypertension, diabetes. CONCLUSIONS: U-NAG levels seem to be affected by air pollution exposure as well as age, hypertension, diabetes, and even low levels of cadmium and low levels of mercury. Moreover, concurrent exposure to heavy metals and air pollution can have additive cytotoxic renal effects.


Subject(s)
Humans , Air Pollution , Cadmium , Hypertension , Korea , Leg , Logistic Models , Metals, Heavy , Occupations , Odds Ratio , Plants , Prevalence , Radius , Smoke , Smoking
5.
Annals of Occupational and Environmental Medicine ; : 3-2015.
Article in English | WPRIM | ID: wpr-195690

ABSTRACT

OBJECTIVES: To identify adverse health effects due to air pollution derived from a cement plant in Korea. The ventilation impairment in residents around a cement plant was compared to another group through a pulmonary function test (PFT). METHODS: From June to August of 2013, both a pre and post-bronchodilator PFT was conducted on a "more exposed group (MEG)" which consisted of 318 people who lived within a 1 km radius of a cement plant and a "less exposed group (LEG)" which consisted of 129 people who lived more than 5 km away from the same plant. The largest forced expiratory volume in a one second (FEV1) reading and a functional residual capacity (FVC) reading were recorded after examining the data from all of the usable curves that were agreed upon as valid by PFT experts of committee of National Institute of Environmental Research. The global initiative for chronic obstructive lung disease (GOLD) criteria for COPD, defined the FEV1/FVC ratio == 0.7 and FVC% predicted < 80% were as the restrictive type. The FVC% predicted value was estimated using Korean equation. We compared the proportion of lung function impairments between the MEG and the LEG by using a chi-square, and estimated the OR of obstructive and restrictive ventilation impairments by logistic regression. RESULTS: The obstructive type impairment proportion was 9.7% in the MEG, whereas it was 8.5% in the LEG. The restrictive type was 21.6% in the MEG which was more than the 12.4% of the LEG. The odds ratio (OR) of total ventilation impairment in the MEG was 2.63 (95% CI 1.50 ~ 4.61) compared to the LEG. The OR of obstructive type in the MEG was 1.60 (95% CI 0.70 ~ 3.65), the smoking history was 3.10 (CI 1.10 ~ 8.66) whereas OR of restrictive type in the MEG was 2.55 (95% CI 1.37 ~ 4.76), the smoking history was 0.75 (95% CI 0.35 ~ 1.60) after adjusting for sex and age. Level of exposure to particulate played a role in both types. However, it appeared to be a significant variable in restrictive type, while smoking history was also an important variable in obstructive type. CONCLUSION: Although this study is a limited cross-section study with a small number of subjects, ventilation impairment rate is higher in the MEG. There might be a possibility that it is due to long-term exposure to particulate dust generated by the cement plant.


Subject(s)
Air Pollution , Dust , Forced Expiratory Volume , Functional Residual Capacity , Korea , Leg , Logistic Models , Lung , Odds Ratio , Plants , Pulmonary Disease, Chronic Obstructive , Radius , Respiratory Function Tests , Smoke , Smoking , Ventilation
6.
Journal of Korean Geriatric Psychiatry ; : 44-44, 2014.
Article in Korean | WPRIM | ID: wpr-109014

ABSTRACT

We found an error in our published article.

7.
Journal of Korean Geriatric Psychiatry ; : 69-73, 2013.
Article in Korean | WPRIM | ID: wpr-155926

ABSTRACT

OBJECTIVES: The aim of this study is to identify the association between agitation/aggression and atrophy in specific brain areas in Alzheimer's disease (AD). METHODS: Fifty six patients with mild or moderate AD participated in this study. Cognitive function was measured using the Korean version of the Mini-Mental State Examination (K-MMSE), and Clinical Dementia Rating (CDR). Agitation/aggression symptoms were measured using the Korean version of the Neuropsychiatric Inventory (K-NPI). Atrophies of brain were analyzed using Voxel Based Morphometry (VBM). RESULTS: Higher scores of agitation/aggression were correlated with the atrophy of left middle temporal, left fusiform, right middle temporal, left inferior temporal, right inferior temporal, left superior temporal, left middle occipital, right orbitofrontal, right superior frontal, left angular and right middle frontal gyrus (p<0.001, uncorrected for multiple comparisons, extent threshold=200 voxel). CONCLUSION: Agitation/aggression was correlated with specific neuroanatomical changes in mild or moderate AD.


Subject(s)
Humans , Aggression , Alzheimer Disease , Atrophy , Brain , Dementia , Neuroanatomy
8.
Annals of Occupational and Environmental Medicine ; : 34-2013.
Article in English | WPRIM | ID: wpr-84419

ABSTRACT

OBJECTIVE: To prevent the occurrence of CV events such as MI and stroke among professional drivers in Korea, bus drivers were compared to other occupations through the Framingham risk scoring system (FRS) or metabolic syndrome (MS) of cardiovascular disease (CVD) risk assessment methods. METHODS: In October 2012, a health examination survey was conducted for 443 male bus drivers in a big city. Their CVD risk factors were compared to those of a 'total employed' (A group) and 'crafts and machine operators' (B group) extracted from Fifth Korea National Health and Nutrition Examination Survey (KNHANES, 2010) data by using FRS and MS. We calculated proportions of the CVD risk factors distribution between bus drivers and the A, B groups by the bootstrapping method. The Odds ratio (OR) between CV event risk combining MS with CHD equivalent risk of FRS and occupational factors like shift patterns and professional driving duration/age ratios (PDAR) of bus drivers was calculated through multinominal logistic regression. RESULTS: The proportion of BMI > or = 25 kg/m2 was 53.9% and waist circumference > or = 90cm was 40.9% among bus drivers. Hypertension and MS prevalence of bus drivers was 53.3%, 49.9% which is higher than 17.6%, 22.6% in the A group and 19.7%, 23.8% in the B group respectively. OR of high CV event risk in alternate shift was 2.58 (95% CI 1.33~5.00) in comparison with double shift pattern and OR in PDAR > or = 0.5 was 2.18 (95% CI 1.15~4.14). CONCLUSION: Middle aged male drivers in a big city of Korea stand a higher chance of developing CV event than other professions of the same age.


Subject(s)
Humans , Male , Middle Aged , Cardiovascular Diseases , Hypertension , Korea , Logistic Models , Methods , Nutrition Surveys , Occupations , Odds Ratio , Prevalence , Risk Assessment , Risk Factors , Stroke , Waist Circumference
9.
Psychiatry Investigation ; : 307-309, 2012.
Article in English | WPRIM | ID: wpr-119414

ABSTRACT

Here, we report psychotic symptoms together with a right cerebellopontine-angle lesion. A37-year-old female patient presented with a trigeminal Schwannoma occupying the right cerebellopontine angle. Her psychotic symptoms included auditory hallucinations and delusions of persecution. T1- and T2-weighted images on magnetic resonance imaging (MRI) revealed hyperintense and hypointense areas in the right cerebellopontine angle, respectively. The clinical and neuroimaging reviews in this case suggest that sudden onset of psychotic symptoms at a mature age may be associated with a right cerebellopontine-angle lesion and that MRI should be used to evaluate possible organic bases in patients that present with psychosis.


Subject(s)
Female , Humans , Cerebellopontine Angle , Delusions , Hallucinations , Magnetic Resonance Imaging , Magnetic Resonance Spectroscopy , Magnetics , Magnets , Neurilemmoma , Neuroimaging , Psychotic Disorders
10.
Journal of Agricultural Medicine & Community Health ; : 279-290, 2009.
Article in Korean | WPRIM | ID: wpr-720024

ABSTRACT

OBJECTIVES: WHO insisted on that we should study about association between residential environment and health status and make 'health city' concept as practical motto. This study analyzed about that how community environment affected their health. METHODS: We surveyed residential environment satisfaction and health status of a apartment complex residents. We transformed Chun's index about housing environment study and social capital index of WHO and used as community health survey. We analyzed the association between health status and related factor by using principal compound analysis and logistic regression analysis. RESULTS: We found out that the perceived health status 1 years ago was highly related to the residential environment and also extracted five residential environment component (APT maintenance, House, APT complex, Neighbor, APT building) by principal component analysis. After residential environment component, demographic and socioeconomic variable were controlled, the high satisfaction group of APT complex and neighbor relationship was in lower risk of perceived health status 1 years ago than the low satisfaction group. CONCLUSIONS: Recently, the importance of residential environment and neighborhood is shaped as community capacity. Therefore, social relationship and residential environment should be the core variable for health promotion of community. After all, we should know the relationship of residential environment and perceived health status 1 years ago. This helps the concept of health city clearly.


Subject(s)
Dimaprit , Environmental Health , Health Promotion , Health Surveys , Housing , Logistic Models , Principal Component Analysis , Residence Characteristics
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