• Title/Summary/Keyword: Depression detection

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Factors Affecting the Depressive Mood Experience of Adults in Their 20s: Using Community Health Survey Data for 2017 (20대 성인의 우울감 경험에 영향을 미치는 요인: 2017 지역사회건강조사 자료 활용)

  • Kim, Kyung Sook
    • Health Policy and Management
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    • v.30 no.2
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    • pp.221-230
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    • 2020
  • Background: The purpose of this study is to identify the factors affecting the depressive mood experience of adults in their 20s. Methods: This study is a descriptive survey that conducted a secondary analysis using data from the 2017 Community Health Survey, which is conducted annually in Korea. The study targets 21,324 adults in their 20s. Data analysis was conducted after creating a composite sample plan file that reflected layering variables, colony variables, and weights. Results: Factors affecting the depressive mood experience were suicide thought experience, subjective stress level, gender, monthly household income, smoking status, subjective health level, breakfast status, participation in social activities, and whether the Internet, games, and smartphone interfered with daily life (p<0.05). Conclusion: It is necessary to establish and realize a system that enables early detection and support of depression and suicide high-risk groups at the individual, home, community, and national levels.

Assessment of Maternal and Neonatal Risk Factors for Postpartum Depression (산모 및 신생아 상태에 따른 산후우울증 유발 위험인자 분석)

  • Choi, Jin-Young;Lee, Jin-Moo;Cho, Jung-Hoon;Lee, Chang-Hoon;Jang, Jun-Bock;Lee, Kyung-Sub
    • The Journal of Korean Obstetrics and Gynecology
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    • v.23 no.2
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    • pp.106-115
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    • 2010
  • Purpose: The purposes of this study were in understanding maternal and neonatal risk factors for postpartum depression using Edinburgh Postnatal Depression Scale(EPDS). Methods: Among 788 women, who had delivery include cesarean section in the department of obstetrics and gynecology at OO medical center from May 28th 2008 to October 6st 2009, 72 women filled out EPDS questionnaire sheets. Additional aspects included for the analysis are maternal factors including age, number of children, parity, delivery method, and hemoglobin; and neonatal factors such as weight, sex, gestational age, apgar score, and neonatal intensive care unit admission. Comparison was performed between the women with EPDS score equal or less than 8 and the women with EPDS score equal to or higher than 9 using statistical methods of student t-test for linear variables and chi-square test for non-linear variables. SPSS version 13.0 for windows was used for analysis. Results: Thirty women(41.7%) were included in the postpartum depression risk group (EPDS score ${\geqq}9$). Statistically significant difference(P<0.05) was found in gestational ages of the risk group($36.57{\pm}29.6$ weeks) and the non-risk group ($38.10{\pm}1.97$ weeks). Identified statistically significant risk factors(P<0.05) include cesarean section (OR=3.304 [1.121-9.744]), low birth weight infant(OR =6.500 [1.606-26.314]), preterm delivery(OR=2.857[1.071-7.621]), low apgar score (1minute) after delivery (OR=14.909 [1.750-127.025]). There was no statistically significant difference in maternal age, number of children, parity, hemoglobin, neonatal sex, apgar score (5minutes), NICU admission. Conclusions: Through the results showed, gestational age, delivery method, neonatal weight, apgar score(1minute) were identified as risk factors for postpartum depression. To prevent or minimize postpartum depression, oriental medical intervention is recommended for pregnant women through early detection.

Predictors of Protective Factors for Depression in Adolescent using Decision Making Tree Analysis (의사결정나무분석을 이용한 청소년 우울의 보호요인 예측모형)

  • Kim, Bo-Young
    • The Journal of the Korea Contents Association
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    • v.15 no.5
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    • pp.375-385
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    • 2015
  • The study is to develop specific strategies to prevent adolescents' depression, early detection and intervention services. This study was a descriptive research study with the purpose of predictors of protective factors for depression in adolescent using decision making tree analysis. The subjects for the study were 485 student in G city. This study collected data between September 23, 2013 and September 26, 2013 and analyzed them with frequency analysis, percentage, the mean and standard deviation, ${\chi}^2$-test, t-test, and a decision-making tree by using SPSS 20.0 program. From the data analysis, the predictive model for protective factors related to depression in adolescent with 4 pathways, 12 nodes. The common predicting variables of depression in adolescent were characteristics, family cohesion, parent adolescent communication, peer communication. The specialty of training data and test data was 76.0% and 65.4%. The sensitivity of training data was 78.2% and 63.7%. As for the classification accuracy, training data and test data explained 70.1% and 69.7%. Parent adolescent communication and peer communication to decrease depression of Korean middle and high school students are necessary. This study should contribute as baseline data for intervention strategies and planning ability of depression prevention in adolescents.

Geriatric Depression and Suicidality According to Residence Type among the Elderly in a Rural City Area (거주형태에 따른 노인 우울증과 자살경향성 비교 연구)

  • Wang, Hee-Ryung;Choi, Yong-Sung;Cho, Myeong-Je;Choi, Yun-Mi;Shin, Hee-Sook;Je, Su-Kyung;Choi, Jae-Won;Hong, Jin-Pyo
    • Anxiety and mood
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    • v.6 no.1
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    • pp.45-54
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    • 2010
  • Objective : This study aimed to investigate and compare the prevalence of depression and suicidality among the elderly in a rural city according to their residence type. Methods : Participants were 311 elderly people (109 male and 202 female) in Icheon City, whom trained researchers interviewed and examined Geriatric Depression Scale, Social Support Scale, Instrumental Activities of Daily Living, Activities of Daily Living, Quality of Life Scale, and Mini International Neuropsychiatric Interview (MINI), module C. Using these data, we analyzed participants' risk factors associated with depression and suicidality. Results : The prevalence of depression was 28.0%. The prevalence in the elderly living alone and those admitted to residential facilities was significantly higher than that among the elderly living with family. Suicidality frequency was 19.6%. The suicidality frequency among the elderly living alone and those admitted to facilities was significantly higher than that among the elderly living with family. The risk factors for depression were age, admission to a facility, and low economic status. The suicidality risk factors were living alone, admission to a facility, poor social support, and a history of headache. Conclusion : These results showed the prevalence of depression and frequency of suicidality among the elderly in such a city was quite high. The results of this study remind psychiatrists of the importance of early detection and therapeutic intervention for the elderly with a high risk of depression and suicidality.

Detection of ST-T Episode Based on the Global Curvature of Isoelectric Level in ECG (ECG 신호의 global curvature를 이용한 ST-T 에피소드 검출)

  • Kang, Dong-Won;Jun, Dae-Gun;Lee, Kyoung-Joung;Yoon, Hyung-Ro
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.4
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    • pp.201-207
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    • 2001
  • This paper describes an automated detection algorithm of ST-T episodes using global curvature which can connect the isoelectric level in ECG and can eliminate not only the slope of ST segment, but also difference of the baseline and global curve. This above method of baseline correction is very faster than the classical baseline correction methods. The optimal values of parameters for baseline correction were found as the value having the highest detection rate of ST episode. The features as input of backpropagation Neural Network were extracted from the whole ST segment. The European ST-T database was used as training and test data. Finally, ST elevation, ST depression and normal ST were classified. The average ST episode sensitivity and predictivity were 85.42%, 80.29%, respectively. This result shows the high speed and reliability in ST episode detection. In conclusion, the proposed method showed the possibility in various applications for the Holter system.

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Poststroke Depression : A Review of the Latest Oriental Medicine Articles (뇌졸중 후 우울증 : 한방 치료에 대한 국내외 최신 문헌 고찰)

  • Lee, Je-Won;Lee, Bo-Mae-Na;Jang, Woo-Seok;Hwang, Ha-Yeon;Baek, Kyung-Min
    • The Journal of Internal Korean Medicine
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    • v.33 no.4
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    • pp.448-464
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    • 2012
  • Objectives : This study reviews the latest articles in Korea and other countries that studied oriental medicine treatment on poststroke depression. Methods : Korean articles were retrieved from the 9 major Korean web article search engines. Foreign articles were retrieved from PubMed. Article published date was from 2000 up to September 2012. There were no restrictions on the types of publication, but articles not available in full text were excluded. The methodological quality was assessed according to Cochrane's assessment of risk of bias and Newcastle-Ottawa quality assessment scale. Results : Twenty-two articles were included in this study. Eleven articles were published in Korea, the rest were published in China. Nine articles were randomized controlled trials (RCT), one article was a non-randomized study (NRS), four articles were case reports, three articles were cross-sectional studies, two articles were comparative studies. In RCT articles, risk of selection bias and performance bias were generally high, risk of detection bias was unclear. The NRS article took four stars in Newcastle-Ottawa quality assessment. Comparison Hamilton rating scale for depression score between oriental medicine treated group and western medicine treated group revealed that there was no remarkable difference in mean score changes after treatment on PSD. Conclusions : The results of this study suggest that oriental medicine treatment is as effective as western medicine treatment for PSD. In the future, more rigorous oriental medicine treatment studies should be conducted.

Test equipment development and test results analysis of optical fiber fence and OTDR for obstacle detection system (지장물검지장치용 광펜스 및 OTDR 시험설비 개발 및 기능시험결과 분석)

  • Jun, Kyung Han;Choi, Young Hun;Lee, Chang Min
    • Journal of The Korean Society For Urban Railway
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    • v.6 no.4
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    • pp.269-278
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    • 2018
  • Railway obstacle detecion system has been introduced with high-speed railway in 2004 to prevent accidents by obstacles such as landslide, rockfall and things fallen from the gauntry over the railway. But existing system has some limitation for landslide or fallen obstacle over railway. Therefore, In this study, we suggest new advanced obstacle detection system introducing the OTDR, optical fiber fences and detection cameras. This system can detect depression degree by the force to the fences and video for the specific region as well as detection wire Off condition. We produce and functional tests for fiber fence and OTDR, which are the core parts of the development system, and results were obtained to demonstrate improved detection capabilities. Several functions also been tested to verify the advanced detection performance and got some satisfactory results. Further we will conduct environment tests and field test.

The Effect of Vision and Hearing Limitation on the Onset of Disability among Korean Elderly with the Consideration of Social Participation and Depression (시력·청력제한이 노년기 장애 발생에 미치는 영향 연구: 사회참여와 우울을 중심으로)

  • Koo, Bon Mi
    • 한국노년학
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    • v.37 no.1
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    • pp.1-14
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    • 2017
  • The purpose of this study was to examine the effect of vision and hearing limitation on the onset of disability among Korean elderly with the consideration of social participation and depression. Study population consisted of 2,670 people aged 65 and above who participated in both the 1st(2006) and 2nd(2008) wave of the Korean Longitudinal Study of Aging(KLoSA), and also reported no ADL or IADL disability in 2006. As the results, first, it found that vision and hearing limitation, social participation, and depression were significant risk factors for the onset of IADL disability in unadjusted analysis. After multivariable adjustment, however, only vision limitation showed significant association with the onset of IADL disability. Second, in the logistic analysis with four categorized variables(vision/hearing limitation + social participation, vision/hearing limitation + depression), the elderly who had vision or hearing limitation had a significantly 1.7 times higher odds ratio for disability onset if they also had low social participation compared with those who had no vision or hearing limitation, and high social participation. Whereas, depression was not significantly associated with the relationship between vision or hearing limitation, and disability onset. The study suggests that the intervention program developed to prevent social isolation of older people with vision or hearing limitation, may be helpful to reduce and postpone the risk of disability onset as well as early detection and treatment of vision or hearing problems.

A Deep Learning-based Depression Trend Analysis of Korean on Social Media (딥러닝 기반 소셜미디어 한글 텍스트 우울 경향 분석)

  • Park, Seojeong;Lee, Soobin;Kim, Woo Jung;Song, Min
    • Journal of the Korean Society for information Management
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    • v.39 no.1
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    • pp.91-117
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    • 2022
  • The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.

Behavioral and intelligence outcome in 8- to 16-year-old born small for gestational age

  • Yi, Kyung Hee;Yi, Yoon Young;Hwang, Il Tae
    • Clinical and Experimental Pediatrics
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    • v.59 no.10
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    • pp.414-420
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    • 2016
  • Purpose: We investigated behavioral problems, attention problems, and cognitive function in children and adolescents born small for gestational age (SGA). Methods: Forty-six SGA children born at term and 46 appropriate for gestational age (AGA) children born at term were compared. Psychiatric symptoms were examined with reference to the Korean-Child Behavior Checklist, Korean-Youth Self Report, and Attention Deficit Hyperactivity Disorder Rating Scale (ADHD-RS). Cognitive function was estimated using the Wechsler Intelligence Scale. Sociodemographic data were recorded from interviews. Results: SGA children had high scores on delinquent behavior, aggressive behavior, and the externalizing scale, and they also showed a propensity for anxiety and depression. The SGA group had a higher mean ADHD-RS score than the AGA group ($10.52{\pm}8.10$ vs.$9.93{\pm}7.23$), but the difference was not significant. The SGA group had a significantly lower verbal intelligence quotient (IQ) than the AGA group, but the mean scores of both groups were within normal limits. Conclusion: This study indicates marked behavioral problems, such as delinquency, aggressiveness, and anxiety and depression, as well as low verbal IQ in the SGA group than in the AGA group. Even in cases in which these symptoms are not severe, early detection and proper treatment can help these children adapt to society.