• Osong Public Health and Research Perspectives
• /
• 제9권6호
• /
• pp.289-298
• /
• 2018

Objectives: To describe the distribution of social factors, lifestyle habits and anthropometric measurements according to hypertension and Type-2 diabetes. Methods: A cross-sectional study was conducted in Gaza City, Palestine that included 379 patients (20-60 years) who had hypertension and/or diabetes. Three groups of patients were involved; 106 hypertensive (HT), 109 diabetic (T2DM) and 164 hypertensive diabetics (HT + T2DM). Results: The HT + T2DM group were older and had a higher body mass index compared to HT and T2DM groups. There were 62.3% patients who were female, 49.2% were highly educated HT patients, and 49.3% patients had a low level of education and were HT + T2DM. There were 55.8% patients who lived in large families. Patients who were passive smokers or never smoked before were mostly HT + T2DM, while active smokers and past smokers had T2DM. There were 48.2% patients who were highly physically active who had HT, 40.9% whom were moderately active had T2DM, and 53.8% of patients who had a low level of activity were HT + T2DM. Multivariate linear regression showed that having a diseased mother, living in a large family, being a past or passive smoker, or never having smoked, having a low or moderate level of activity, and having HT or HT + T2DM, were significantly associated with an increased body mass index. Conclusion: Parental health/disease conditions and environmental factors (social network and lifestyle habits) played the greatest role in the development of obesity and disease.

• Journal of Periodontal and Implant Science
• /
• 제24권1호
• /
• pp.39-49
• /
• 1994

It has been believed that antioxidant enzymes such as CuZn- and Mn-superoxide dismutase and catalase protect the tissue from damage resulting from the oxygen derived free radicals($O_2\;^-$, $H_2O_2$ and OH ). The purpose of this study was to investigate the relationship between activity of antioxidant enzymes including CuZn- and Mn- superoxide dismutase and catalase and inflammatory periodontal disease and periodontal parameters. For this study, the patients were classified into normal, gingivitis, adult periodontitis and rapidly progressive periodontitis, and then their papillary bleeding index(PBI) and probing depth were checked. Gingival tissues were surgically obtained from the patients during periodontal surgery, extraction, and clinical crown lengthening procedure. The activity of CuZn- and Mn- superoxide dismutase and catalase in the gingival tissues was measured by using UV-spectrophotometer by the same methods as Crapo et al. And Aebi did, respectively. The results were as follows : 1. CuZn- and Mn- and total-superoxide dismutase activity were significantly low in rapidly progressive periodontitis group in comparison to normal group (P<0.05). 2. In comparison of the antioxidant enzyme activity according to papillary bleeding index group(PBI), Mn-superoxide dismutase activity only was significantly lower in PBI 2, 3, and 4 groups than PBI 0 group(P<0.05). 3. Superoxide dismutase activity failed to show any significant difference according to probing depth. But significant]y high catalase activity was shown in deep pocket group (${\ge}7mm$)(P<0.05). In conclusion, these results suggest that the activity of Mn-superoxide dismutase among the antioxidant enzymes may reflect the inflammatory status of gingival tissue and that the decreased activity of superoxide dismutase may be one of responsibe factors for progression of rapidly progressive periodontitis.

• 한국전문물리치료학회지
• /
• 제28권3호
• /
• pp.177-185
• /
• 2021

Background: Muscle undergoes change continuously with aging. Sarcopenia, in which muscle mass decrease with aging, is associated with various diseases, the risk of falling, and the deterioration of quality of life. Obesity and sarcopenia also have a synergy effect on the disease of the older adults. Objects: This study examined the risk factors for sarcopenia, sarcopenic obesity, and sarcopenia without obesity and developed prediction models. Methods: This machine-learning study used the 2008-2011 Korea National Health and Nutrition Examination Surveys in the analysis. After data curation, 5,563 older participants were selected, of whom 1,169 had sarcopenia, 538 had sarcopenic obesity, and 631 had sarcopenia without obesity; the remaining 4,394 were normal. Decision tree and random forest models were used to identify risk factors. Results: The risk factors for sarcopenia chosen by both methods were body mass index (BMI) and duration of moderate physical activity; those for sarcopenic obesity were sex, BMI, and duration of moderate physical activity; and those for sarcopenia without obesity were BMI and sex. The areas under the receiver operating characteristic curves of all prediction models exceeded 0.75. BMI could predict sarcopenia-related disease. Conclusion: Risk factors for sarcopenia-related diseases should be identified and programs for sarcopenia-related disease prevention should be developed. Data-mining research using population data should be conducted to enhance the effectiveness of early treatment for people with sarcopenia-related diseases through predictive models.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권4호
• /
• pp.2060-2077
• /
• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• Journal of Acupuncture Research
• /
• 제23권3호
• /
• pp.117-127
• /
• 2006

Alzheimer's disease (AD) is the most prevalent form of neurodegenerative disease associated with aging in the human population. This disease is characterized by the following 4 structural changes : Atrophy of the Cortex, Parasympathetic, and other neural cells, the existence of Neurofibrillary tangles (NFTs), and the accumulation of Senile plaques. NFTs and Senile plaques is known to be the index of this disease. Senile plaques disturbs the neutro transmission and depletes of Acetylcholine. So, Recovery of Acetylcholine is the primal objective for treating Alzheimer's disease. So, Inhibiting the activity of Acetylcholine Esterase (AChE), which causes the hydrolysus of acetylcholine into choline and acetate, can be seen as a key role for treating Alzheimer's disease. Increasing body of evidence has been demonstrated that Bee Venom Acupuncture (BV) could compete with complex protein involving in multiple step of $NF-_{\kappa}B$ activation and exert the anti-inflammatory potential of combined inhibition of the prostanoid and nitric oxide synthesis systems by inhibition of IKK and $NF-_{\kappa}B$. BV dose-dependently attenuated Scopolamine-induced Acetylcholine esterase activities in cerebral cortex and hippocampus of the mice brain. This study therefore suggests that BV acupuncture method may be useful for prevention of development or progression of AD.

• Pediatric Gastroenterology, Hepatology & Nutrition
• /
• 제21권1호
• /
• pp.34-42
• /
• 2018

Purpose: Monogenic inflammatory bowel disease (IBD) patients do not respond to conventional therapy and are associated with a higher morbidity. We summarized the clinical characteristics of monogenic IBD patients and compared their clinical outcomes to that of non-monogenic IBD patients. Methods: We performed a retrospective cohort study of all children <18 years old who were diagnosed with IBD between 2005 and 2016. A total of 230 children were enrolled. Monogenic IBD was defined as a presentation age less than 6 years old with confirmation of a genetic disorder. We subdivided the groups into monogenic IBD (n=18), non-monogenic very early-onset IBD (defined as patients with a presentation age <6 years old without a confirmed genetic disorder, n=12), non-monogenic IBD (defined as all patients under 18 years old excluding monogenic IBD, n=212), and severe IBD (defined as patients treated with an anti-tumor necrosis factor excluding monogenic IBD, n=92). We compared demographic data, initial pediatric Crohn disease activity index/pediatric ulcerative colitis activity index (PCDAI/PUCAI) score, frequency of hospitalizations, surgical experiences, and height and weight under 3rd percentile among the patients enrolled. Results: The initial PCDAI/PUCAI score (p<0.05), incidence of surgery per year (p<0.05), and hospitalization per year (p<0.05) were higher in the monogenic IBD group than in the other IBD groups. Additionally, the proportion of children whose weight and height were less than the 3rd percentile (p<0.05 and p<0.05, respectively) was also higher in the monogenic IBD group. Conclusion: Monogenic IBD showed more severe clinical manifestations than the other groups.

• 대한한의학방제학회지
• /
• 제16권1호
• /
• pp.185-205
• /
• 2008

The purpose of this study is to determine whether the clinical activity of patients with atopic dermatitis(AD) correlate with their serum cytokine levels. 86 patients with AD were treated with KHS, YMH and GHT. On each visit to the clinic, their skin status was evaluated using the SCORAD index and serum IL-4, $IFN-{\gamma}$, IL-12, IL-13, IL-2 and IL-10 were measured by ELISA. After oral administration of herbal medicine, patients' skin status and subjective parameters such as pruritus and sleeplessness were significantly improved according to regression analysis. In particular, patients aged 0-9 showed stronger responses to treatment, which implies that the younger patients aged, the easier the treatment by herbal formula became. In analysis of the type of chosen herbal medicines, YMH treated group showed a stronger response in reduction of affected lesion, intensity of a lesion and subjective symptoms, while KHS treated group showed the least reduction. The levels of serum IL-4, $IFN-{\gamma}$ and IL-2 correlated with disease activity. Moreover, in patients under 0-9, the IL-4 level had a corrleation with disease activity; patients under 10-19 showed a correlation between the levels of IL-4 and IL-2 and disease activity; patients under 20-29 showed a correlation between the levels of IL-2, IL-12 and $IFN-{\gamma}$ and disease activity. In comparison with chosen herbal medicines, the groups treated with YMH or GHT treated group showed a correlation between the levels of IL-4, IL-12 and IL-2 and disease activity while KHS treated group did not. Our data suggest that serum levels of IL-4 and IL-13 are good indicators of clinical improvement in treating AD.

• Safety and Health at Work
• /
• 제4권1호
• /
• pp.52-62
• /
• 2013

Objectives: To investigate the association between psychological distress and obesity among law enforcement officers (LEOs) in the United States. Methods: Self-reported data on psychological distress based on six key questions were obtained from LEOs who participated in the National Health Interview Survey (2004-2010). We used Prochaska's cut-point of a Kessler 6 score ${\geq}5$ for moderate/high mental distress in our analysis. Mean levels of body mass index (BMI) were compared across three levels of psychological distress. Results: The average age of LEOs (n = 929) was 39.3 years; 25% were female. Overall, 8.1% of LEOs had moderate or high psychological distress; 37.5% were obese (BMI ${\geq}30$). Mean BMI increased with increasing psychological distress (no distress, BMI = $27.2kg/m^2$; mild distress, $27.6kg/m^2$; and moderate/high distress, $33.1kg/m^2$; p = 0.016) after adjustment for age, race, income, and education level among female officers only. Physical activity modified the association between psychological distress and BMI but only among male LEOs (interaction p = 0.002). Among male LEOs reporting low physical activity, psychological distress was positively associated with BMI ($30.3kg/m^2$ for no distress, 30.7 for mild distress, 31.8 for moderate/high distress; p = 0.179) after adjustment, but not significantly. This association was not significant among males reporting high physical activity. Conclusion: Mean BMI significantly increased as psychological distress increased among female LEOs. A longitudinal study design may reveal the directionality of this association as well as the potential role that physical activity might play in this association.

• PNF and Movement
• /
• 제17권3호
• /
• pp.339-351
• /
• 2019

Purpose: This study identified the effects of dual-task gait training on balance, gait function, and activity of daily living in patients with Parkinson's disease. Methods: This study used a single-subject design. Two patients with Parkinson's disease participated in this study. Dual-task gait training was performed 1 hour per day 8 times during intervention phase. The subjects were measured 8 times in the baseline phase, 8 times in the intervention phase, and 8 times in the follow-up phase. The outcome measurements included a timed up and go test (TUG), a Berg balance scale (BBS), a 10 meter walk test (10MWT), a 6 minute walk test (6MWT), a dynamic gait index (DGI) and a Korean modified Barthel index (K-MBI). Results: When compared to the average of the baseline process, the data collected during the intervention period showed that the TUG and 10MWT results improved and the tendency line was above the baseline. In addition, BBS, 6MWT, DGI, and K-MBI values for both patients increased remarkably after the training. Conclusion: The results of this study revealed that dual-task gait training may be helpful to improve balance, walking function, and activity of daily living for patients with Parkinson's disease. Further studies need to confirm our findings.

• Physical Therapy Rehabilitation Science
• /
• 제12권3호
• /
• pp.229-239
• /
• 2023

Objective: Patients with chronic obstructive pulmonary disease (COPD) may experience reduced physical activity and quality of life (QoL) due to decreased pulmonary function. The purpose of this study was to investigate the level of pulmonary function, physical activity, and QoL of COPD patients. Design: Cross-sectional observational study. Methods: This study examined the published data of the Korea National Health and Nutrition Examination Survey in 2015-2019. Among 39,759 subjects who participated for 5 years, data from 151 patients diagnosed with COPD were analyzed separately. For the pulmonary function, the results of forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), FEV6, forced expiratory flow 25-75%, and peak expiratory flow were observed. Physical activity was identified as frequency and duration. For the QoL, EQ-5D-3L evaluation results were examined, and the frequency and index of the Korean version were investigated. Results: In pulmonary function, all variables were found to be lower than age and weighted matched normal values. COPD patients showed to perform very low levels of high/medium physical activity and sitting time was confirmed to be more than 8 hours a day. In QoL, it was found that the highest reporting rate of some problems was the "pain and discomfort" and "mobility". Conclusions: It was found that COPD patients showed that the prevalence of circulatory disease was relatively high, lowered pulmonary function, and QoL. These can be improved through regular physical activity, and it is thought that this can be achieved through optimization of pulmonary rehabilitation.