• 상하수도학회지
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• 제37권6호
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• pp.363-373
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• 2023

Numerous studies have established a correlation between sociodemographic characteristics and water usage, identifying population as a primary independent variable in mid- to long-term demand forecasting. Recent dramatic sociodemographic changes, including urban concentration-rural depopulation, low birth rates-aging population, and the rise in single-person households, are expected to impact water demand and supply patterns. This underscores the necessity for operational and managerial changes in existing water supply systems. While sociodemographic characteristics are regularly surveyed, the conducted surveys use aggregate units that do not align with the actual system. Consequently, many water demand forecasts have been conducted at the administrative district level without adequately considering the water supply system. This study presents an upward water demand forecasting model that accurately reflects real water facilities and consumers. The model comprises three key steps. Firstly, Statistics Korea's SGIS (Statistical Geological Information System) data was reorganized at the DMA level. Secondly, DMAs were classified using the SOM (Self-Organizing Map) algorithm to consider differences in water facilities and consumer characteristics. Lastly, water demand forecasting employed the PCR (Principal Component Regression) method to address multicollinearity and overfitting issues. The performance evaluation of this model was conducted for DMAs classified as rural areas due to the insufficient number of DMAs. The estimation results indicate that the correlation coefficients exceeded 0.9, and the MAPE remained within approximately 10% for the test dataset. This method is expected to be useful for reorganization plans, such as the expansion and contraction of existing facilities.

• 문화기술의 융합
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• 제8권3호
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• pp.129-136
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• 2022

이 연구는 디지털기기 이용성과의 예측요인으로서 디지털기기 이용동기가 디지털기기 이용성과에 미치는 효과가 연령, 성별, 소득, 교육수준에 따라 어떤 차이가 있는지 확인했다. 이를 위하여 한국지능정보사회진흥원의 '2020 디지털정보격차실태조사' 자료를 활용하여 실증적 분석을 실시하였다. 연구 결과, 디지털기기 이용동기가 디지털기기 이용성과에 미치는 긍정적 효과는 사회인구학적 요인에 따라 다르게 나타났다. 더불어, 디지털기기 이용동기는 디지털기기 이용성과 차이, 즉 3차 정보격차를 예측하는 주요 요인임을 확인했다. 이 연구의 결과는 3차 정보격차 관련 정책 및 연구에 유용한 정보를 제공한다.

• 동아시아식생활학회지
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• 제24권3호
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• pp.301-314
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• 2014

This study was conducted in order to measure changes in the dining out consumption behaviors of the elderly living in Korea. Data on 2,316 and 3,170 elderly aged over 50 years were extracted from the 2001 and 2011 KNHANES(Korea National Health and Nutrition Examination Surveys), respectively. The data were analyzed by gender, age, region area, marital status, educational level, household income, economic activity and subjective health status. Frequency of dining out was higher in males between 50~64 years of age, living in metropolitan area, well-educated, high-income, engaged in economic activity and healthy. As a result, these basic data can be used for analyzing the changes in dining out consumption behaviors by sociodemographic characteristics of people aged over 50 years and the elderly in Korea. In the results on the consumption rate of food service in the two groups, 'female' and '65~74 years old' showed the largest increases from 10 years, and thus should be the group that the food service industry focuses on to develop new marketing strategies suitable for the environment.

• Journal of Preventive Medicine and Public Health
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• 제34권4호
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• pp.389-398
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• 2001

Objectives : To investigate the information searching behavior of health care consumers according to sociodemographic characteristics. Methods : A questionnaire survey was conducted of 1,507 persons who were selected through a multi-stage stratified area cluster sampling of the Republic of Korea, excluding the province of Jeiu-do. Personal were conducted through a door-to-door survey between 27 July and 10 August 1999. Results : 80.5% of respondents used more than one source of information and those $40\sim59$ years of age, female, a housewife or student and those who claimed a religion demonstrated more active information searching behavior. A personal informer was used significantly more in those $20\sim39$ years old, female, and those who claimed a religion. Clerical workers, those with post-secondary education and a monthly income greater than 2,000,000 won ($1500) were more actively used a public informer. Low socioeconomic status and older persons used an experimental informer when they chose a health care institution. Conclusion : Regardless of the sociodemographic characteristics, personal and experimental informers were the most useful source of information. Because appropriate information was not easy to obtain, the health care consumer was dependent upon word-of-mouth communication(personal informer) when using health care services.

• 한국주거학회논문집
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• 제15권1호
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• pp.175-183
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• 2004

The purpose of this study was to identify the actual condition of residential environment for the elderly residing in Daejeon. The data were collected through interviews and structured questionnaires. The sujects were 583 elderly people over the age of 65 in Daejeon. Sociodemographic characteristics, living characteristics, housing characteristics, neighborhood environment types, actual usage condition of neighborhood environment, relationship between sociodemographic characteristics and actual usage of neighborhood environment, actual condition of unit interior, were surveyed. The data were analyzed with frequency, percentage, χ²-test, mean using the SPSS package. The major findings were as follows. Features of unit interior which pointed generally were deterioration, soundproofing and size. Features of unit interior which need to be carefully planned were removal of height difference of entrance, removal of the thresholds, installation of emergency bell and room heating control facility. The facilities provided highly within the subject's residential environment were the eldery facility, church, hospital, bank, restaurant, beauty salon/barbershop, supermarket. and the facilities provided lowly were recreational facility, library, elderly school.

• 대한정형도수물리치료학회지
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• 제28권2호
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• pp.15-24
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• 2022

Background: This study investigated the perception of community care-based tele exercise rehabilitation according to demographic characteristics of physical therapists and presented basic data for the spread of tele exercise rehabilitation within community care. Methods: The study collected and analyzed data from 195 physical therapists. The analysis was performed using frequency analysis with 10 general characteristics, 13 tele exercise rehabilitation recognition questions, and a total of 23 questions. Analysis of general characteristics of study subjects and recognition of tele exercise rehabilitation were expressed in terms of frequency and percentage using frequency analysis. Chi-squared test was used to compare general characteristics and tele exercise rehabilitation recognition. Correlation analysis of major sociodemographic variables affecting the perception of remote exercise rehabilitation was conducted. Results: The awareness level of physical therapists for remote exercise rehabilitation was confirmed. The difference in the recognition of remote motor rehabilitation in the number of therapists, career, hospital form according to the sociodemographic characteristics showed statistically significant differences. Conclusion: It is necessary to first raise awareness of therapists through the promotion of tele exercise rehabilitation, and furthermore, in the future, it will be necessary to find a policy direction and plan on how tele exercise rehabilitation can be applied to rehabilitation services in local communities care.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제10권11호
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• pp.541-546
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• 2021

최근 전 세계적으로 인공지능과 머신러닝을 기반으로 임상정보를 활용한 다양한 고혈압 식별 및 예측 모델이 개발되고 있다. 그러나 고혈압 관련 모델에 대한 대부분의 선행연구는 침습적 및 고가의 분석비용을 통한 변수들이 대부분 사용되었고, 인종과 국가의 특징에 대한 고려가 충분히 제시되지 않았다. 따라서 이 연구의 목적은 일반적인 사회인구 통계학적 변수만을 사용하여 쉽게 이해할 수 있는 한국인 성인 고혈압 예측 모델을 제시하는 것이다. 이 연구에서 사용된 데이터는 질병관리청 국민건강영양조사 (2018년)를 이용하였다. 남성에서, wrapper-based feature subset selection 메소드와 naive Bayes를 이용한 모델이 가장 높은 예측 성능 (ROC = 0.790, kappa = 0.396)을 보였다. 여성의 경우, correlation-based feature subset selection 메소드와 naive Bayes를 사용한 모델이 가장 높은 예측 성능(ROC = 0.850, kappa = 0.495)을 나타내었다. 또한 모든 모델들에서 사회인구 통계학적 변수들만을 이용한 고혈압의 예측 성능이 남성보다 여성에게서 더 높게 나타나는 것을 발견하였다. 본 연구의 결과인 machine learning 기반 고혈압 예측 모델은 한국인에 대한 단순한 사회인구학적 특성만을 사용하였기 때문에 향후 공중 보건 및 역학 분야에서 쉽게 사용될 수 있을 것으로 예상된다.

• 동의신경정신과학회지
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• 제33권3호
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• pp.241-257
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• 2022

Objectives: To investigate emotional characteristics of healthy adults using the Core Seven Emotions Inventory-Short Form (CSEI-s) and to investigate the correlation between the CSEI-s and Korean version of the Perceived Stress Scale (K-PSS). Methods: Overall, 2,178 healthy adults aged ≥19 years who completed the CSEI-s and K-PSS in a nationwide multicenter study were included in this study. One-way analysis of variance was performed to identify associations of seven emotions with sociodemographic characteristics. Bonferroni corrected post-hoc tests were performed for multiple comparisons. Pearson's correlation analyses were conducted to examine the correlation between each emotion and stress. Results: Scores of all emotions except for joy (喜) and stress were significantly greater in women than in men. However, the score of joy (喜) in women was significantly less than that in men. There were significant differences in joy (喜), thought (思), depression (憂), fear (恐), and fright (驚) according to age groups in both men and women. The score of depression (憂) was significantly lower in women attending or graduating from graduate school than in those attending or graduating from undergraduate school. Significantly lower scores in joy (喜), thought (思), depression (憂), sorrow (悲), fear (恐), and fright (驚) were observed in married men than in single men. There were significant positive correlations between depression (憂) and stress and between sorrow (悲) and stress in both men and women. Conclusions: There were significant associations of seven emotions with sociodemographic characteristics in healthy adults.

• 대한가정학회지
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• 제35권3호
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• pp.205-220
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• 1997

The purpose of this study was to investigate the relationship between Martial Violence and Children's Physical, Emotional Abuse. The subjects of this study were 334 children of first, second and third grade in elementary schools located in Pusan and their mothers. Two questionaires were developed for this study. The questionnaire for measuring child abuse(Physical, Emotinal) was composed of 10 and 21 items for children and questionnaire for measuring marital violence perceived by their mothers was composed of 28 items. The results of this study were as follows; 1) There significant correlations between sociodemographic characteristics and Marital Violence. 2) There were significant correlations between sociodemographic characteristics and Children's Physical, Emotional Abuse. 3) There were significant relationships between Marital Violence and Child Abuse.

• Journal of Preventive Medicine and Public Health
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• 제40권5호
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• pp.351-362
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• 2007

Objectives: The present study was intended to assess the mental health of nurses working for university hospitals and to establish which factors determine their mental health. Methods: Self-administered questionnaires were given to 1,486 nurses employed in six participating hospitals located in Daejeon City and Chungnam Province between July 1 st and August 31st, 2006. The questionnaire items included sociodemographic, job-related, and psychosocial factors, with job stress factors (JCQ) as independent variables and indices of mental health status (PWI, SDS and MFS) as dependent variables. For statistical analysis, the Chi-square test was used for categorical variables, with hierarchical multiple regression used for determining the factors effecting mental health. The influence of psychosocial and job-related factors on mental health status was assessed by covariance structure analysis. The statistical significance was set at p<0.05. Results: The factors influencing mental health status among subject nurses included sociodemographic characteristics such as age, number of hours of sleep, number of hours of leisure, and subjective health status; job-related characteristics such as status, job satisfaction, job suitability, stresses such as demands of the job, autonomy, and coworker support; and psychosocial factors such as self-esteem, locus of control and type A behavior patterns. Psychosocial factors had the greatest impact on mental health. Covariance structure analysis determined that psychosocial factors affected job stress levels and mental health status, and that the lower job stress levels were associated with better mental health. Conclusions: Based on the study results, improvement of mental health status among nurses requires the development and application of programs to manage job stress factors and/or psychosocial factors as well as sociodemographic and job-related characteristics.