• Title/Summary/Keyword: Binomial Logistic Regression Analysis

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Comparison of Determinants of Healthy Food Intake Before and After COVID-19 - Based on 2019~2021 Consumer Behavior Survey for Food - (COVID-19 전후 건강식품 섭취 여부 결정요인 비교 - 2019년~2021년 식품소비행태조사 자료 이용 -)

  • Su-yeon Jung;Na-young Kim;Eun-seo Jeon;Keum-il Jang;Seon-woong Kim
    • The Korean Journal of Food And Nutrition
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    • v.36 no.4
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    • pp.309-320
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    • 2023
  • This study examined the determinants of healthy food purchases before and after COVID-19 in Korea. Binomial and multinomial logistic regression models were applied to Korea Rural Economic Institute's Food Consumer Behavior Survey data from 2019 to 2021. The analysis revealed a significant decrease in the non-intake of healthy food in 2021 compared to 2019, suggesting the impact of COVID-19 on healthy food consumption. Consumption patterns also changed, with a decrease in direct purchases and an increase in gift-based purchases. Several variables showed significant effects on healthy food intake. Single-person households exhibited a higher probability of eating healthy food after COVID-19. The group perceiving themselves as healthy had a lower likelihood of consuming healthy food pre-COVID-19, but this changed after the pandemic. Online food purchases, eco-friendly food purchases, and nut consumption showed a gradual decrease in the probability of non-intake over time. Gender and age also influenced healthy food intake. The probability of eating healthy food increased in the older age group compared to the younger group, and the probability increased significantly after COVID-19. The probability of buying gifts was significantly higher in those in their 60s, indicating that the path to obtaining healthy food differed by age.

The Relationship between Violation of Designated Lane Usage and Accident Severity on Freeways (고속도로 지정차로제 위반과 교통사고 심각도와의 관계분석: 화물차량을 대상으로)

  • Kim, Joo-Hee;Lee, Soo-Beom;Kim, Da-Hee;Hong, Ji-Yeon
    • Journal of Korean Society of Transportation
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    • v.30 no.3
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    • pp.119-127
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    • 2012
  • For traffic safety, it is imperative for motorists to secure their clear view and to maintain a similar speed with others while driving in a lane. Large-sized vehicles at lower speeds, however, are likely to increase the risk of accident when they share a lane with cars. Although to overcome this complication the Korean Road Traffic Act established rules for the safe use of roads, the reality is that the rules are seldom observed strictly. In this light, this study was designed to analyze the severity of truck-involved accidents, thereby providing justification for the need of truck-designated lanes and thus contributing to measuring road safety more precisely. A binomial logistic regression model was applied to analyze the severity of truck-involved accidents. The analysis showed that several variables affect the severity of truck-involved accidents on freeways; i.e., violation against the rule of truck-designated lanes, weather, difference between daytime and nighttime, and parking on road shoulder. Moreover, the strong enforcement will be needed to make motorists observe the rule, because a Wald statistical test showed that the violation against the rule of truck-designated lanes has the largest influence on the severity.

Human Mastadenovirus Infections and Meteorological Factors in Cheonan, Korea

  • Oh, Eun Ju;Park, Joowon;Kim, Jae Kyung
    • Microbiology and Biotechnology Letters
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    • v.49 no.2
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    • pp.249-254
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    • 2021
  • The study of the impact of weather on viral respiratory infections enables the assignment of causality to disease outbreaks caused by climatic factors. A better understanding of the seasonal distribution of viruses may facilitate the development of potential treatment approaches and effective preventive strategies for respiratory viral infections. We analyzed the incidence of human mastadenovirus infection using real-time reverse transcription polymerase chain reaction in 9,010 test samples obtained from Cheonan, South Korea, and simultaneously collected the weather data from January 1, 2012, to December 31, 2018. We used the data collected on the infection frequency to detect seasonal patterns of human mastadenovirus prevalence, which were directly compared with local weather data obtained over the same period. Descriptive statistical analysis, frequency analysis, t-test, and binomial logistic regression analysis were performed to examine the relationship between weather, particulate matter, and human mastadenovirus infections. Patients under 10 years of age showed the highest mastadenovirus infection rates (89.78%) at an average monthly temperature of 18.2℃. Moreover, we observed a negative correlation between human mastadenovirus infection and temperature, wind chill, and air pressure. The obtained results indicate that climatic factors affect the rate of human mastadenovirus infection. Therefore, it may be possible to predict the instance when preventive strategies would yield the most effective results.

Development of Ingrowth Estimation Equations for Pinus densiflora in Korea Derived from National Forest Inventory Data (국가산림자원조사 자료를 이용한 소나무의 진계생장 추정식 개발)

  • Moon, Ga Hyun;Yim, Jong Su;Shin, Man Yong
    • Journal of Korean Society of Forest Science
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    • v.107 no.4
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    • pp.402-411
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    • 2018
  • This study was conducted to develop ingrowth estimation equations on Pinus densiflora found in Gangwon Province and in the center of Korean Peninsula, based on the National Forest Inventory (NFI)'s permanent sampling plot data. For this study, identical sampling plots in $5^{th}$ and $6^{th}$ NFI data were collected in order to identify ingrowth amounts for the last 5 years. Following two-stage approaches in developing the ingrowth estimation equations, the logistic regression model was used in the first stage to estimate the ingrowth probability. In the second stage, regression analysis on sampling plots with ingrowth occurrence was used to estimate the ingrowth amount. A candidate model was finally selected as an optimal model after a verification based on three evaluation statistics which include mean difference (MD), standard deviation of difference (SDD) and standard error of difference (SED). In results, a logistic regression model based on the number of sampling plot which did not result in ingrowth (model VI), was selected for an ingrowth probability estimation equation and exponential function including the species composition (SC) variable was optimal for an ingrowth estimation equation (model VII). The ingrowth estimation equations developed in this study also evaluated the estimation ability in various forest stand conditions, and no particular issue in fitness or applicability was observed.

Analysis of Factors Affecting Satisfaction with Commuting Time in the Era of Autonomous Driving (자율주행시대에 통근시간 만족도에 영향을 미치는 요인분석)

  • Jang, Jae-min;Cheon, Seung-hoon;Lee, Soong-bong
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.5
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    • pp.172-185
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    • 2021
  • As the era of autonomous driving approaches, it is expected to have a significant impact on our lives. When autonomous driving cars emerge, it is necessary to develop an index that can evaluate autonomous driving cars as it enhance the productive value of the car by reducing the burden on the driver. This study analyzed how the autonomous driving era affects commuting time and commuting time satisfaction among office goers using a car in Gyeonggi-do. First, a nonlinear relationship (V) was derived for the commuting time and commuting time satisfaction. Here, the factors affecting commuting time satisfaction were analyzed through a binomial logistic model, centered on the sample belonging to the nonlinear section (70 minutes or more for commuting time), which is likely to be affected by the autonomous driving era. The analysis results show that the variables affected by the autonomous driving era were health, sleeping hours, working hours, and leisure time. Since the emergence of autonomous driving cars is highly likely to improve the influencing variables, long-distance commuters are likely to feel higher commuting time satisfaction.

A Comparative Study on Factors Influencing Residential Satisfaction by Types of Public Rental Housing (공공임대주택 유형별 주거만족도 영향요인 비교연구)

  • Mee-Jung Lee;Chan-Ho Kim;Chang-Soo Lee
    • Land and Housing Review
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    • v.15 no.1
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    • pp.39-55
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    • 2024
  • The aim of this study is to analyse housing satisfaction among residents of different types of public rental housing-permanent, national, and happy housing-following the integration of housing types upon the full-scale supply of integrated public rental housing. By identifying key factors that influence residential satisfaction, our goal is to inform the planning of public rental housing complexes and derive policy implications. The study focuses on analysing discrepancies in residential satisfaction among residents of different types of public rental housing and comparing the factors influencing this satisfaction. Microdata from the Ministry of Land, Infrastructure, and Transport's 'Housing Situation Survey' in 2021 is utilized for analysis, employing one-way ANOVA and binomial logistic regression methods. Empirical analysis reveals variations in residential satisfaction levels between residents of permanent and national rental housing, with national rental housing residents exhibiting higher satisfaction. The influencing factors of overall condition satisfaction are consistent for permanent and national rental residents but differ for happy housing residents. Additionally, the influencing factors of overall residential environmental satisfaction vary across all three housing types. Nonetheless, common factors across all types include housing noise and facility accessibility, highlighting their significance in complex planning. Subsequent studies may involve time series analysis to assess changes in influencing factors over time.

A Study on Individual Training Account System Experiences and Labor Market Outcomes of the College Graduate Youth (대졸 청년층의 내일배움카드제 참여경험과 노동시장 성과)

  • Kwon, Hye-Young
    • 한국사회정책
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    • v.23 no.1
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    • pp.151-178
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    • 2016
  • This study aims to look at the current status of college graduate youth' participating in Individual Training Account System of Korea and analyze the effects of their participation experience on the labor market outcomes. To achieve this, this study used the data from 2012 Graduates Occupational Mobility Survey(GOMS) and for analysis, used both multiple regression analysis and binomial logistic regression analysis. As a result, it was found that the number of young people who had ever heard about the Individual Training Account System was 2,707 individuals (27.6%), and among them, the number of young people who had actually participated in the System was 695(25.7%). As a result of analyzing the effect of participation experience with the Individual Training Account System on the outcomes of labor market, it was found that participation experience had a positive and significant impact on whether they were employed and the form of employment (permanent position), whereas it did not have a positive impact on average monthly wage. Based on these results, this study drew implications for further studies and suggested policy tasks for improving the policy effectiveness of the Individual Training Account System.

Analysis of Factors Related to the Use of Korean Medicine Treatment in Patients with Mood Disorders: Based on 2019 Korea Health Panel Annual Data (기분장애 환자에서 한의치료 이용과 관련된 요인분석: 제2기 한국의료패널 자료를 중심으로)

  • Kyoungeun Lee;Chan-Young Kwon
    • Journal of Oriental Neuropsychiatry
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    • v.34 no.4
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    • pp.349-358
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    • 2023
  • Objectives: We used the 2019 Korea Health Panel Annual Data to analyze factors related to visits to Korean medicine (KM) outpatient clinics among patients with mood disorders in Korea. Methods: Individuals aged 19 years or older, with depressive or bipolar disorders, and with a record of using Western medicine (WM) and/or the KM medical service were included. The 266 subjects were classified into the WM group or the integrative medicine (IM) group. The Andersen healthcare utilization model was used to analyze factors that potentially influenced the subjects' healthcare utilization. Binomial logistic regression analysis was used to analyze factors influencing the use of IM medical services. Results: Among the subjects, 75.56% (n=201) were in the WM group, and 24.44% (n=65) were in the IM group. Statistically significant differences were observed in residential areas, total annual income, the presence of disability, and the level of pain/discomfort between the two groups. Regression analysis found that residential areas and pain/discomfort were factors related to the use of IM services. Specifically, reporting "a lot" of pain/discomfort compared to "no" pain/discomfort showed a significant positive relationship with the use of IM (odds ratio=4.57, 95% confidence interval=1.79 to 11.70). Conclusions: This study was the first to analyze the status of KM medical service use and related factors among patients with mood disorders in Korea. The finding that the presence of pain/discomfort was positively correlated with the use of KM services is potentially related to medically unexplained physical symptoms or somatization phenomena.

Impact of Level of Physical Activity on Healthcare Utilization among Korean Adults (성인의 신체활동 정도가 의료이용에 미치는 영향)

  • Kim, Ji-Yun;Park, Seung-Mi
    • Journal of Korean Academy of Nursing
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    • v.42 no.2
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    • pp.199-206
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    • 2012
  • Purpose: This study was done to identify the impact of physical activity on healthcare utilization among Korean adults. Methods: Drawing from the 2008 Korean National Health and Nutrition Examination Survey (NHANES IV-2), data from 6,521 adults who completed the Health Interview and Health Behavior Surveys were analyzed. Association between physical activity and healthcare utilization was tested using the $X^2$-test. Multiple logistic regression analysis was used to calculate the odds ratios of using outpatient and inpatient healthcare for different levels of physical activity after adjusting for predisposing, enabling, and need factors. A generalized linear model applying a negative binomial distribution was used to determine how the level of physical activity was related to use of outpatient and inpatient healthcare. Results: Physically active participants were 16% less likely to use outpatient healthcare (OR, 0.84; 95% CI, 0.74-0.97) and 23% less likely to use inpatient healthcare (OR, 0.77; 95% CI, 0.63-0.93) than physically inactive participants. Levels of outpatient and inpatient healthcare use decreased as levels of physical activity increased, after adjusting for relevant factors. Conclusion: An independent association between being physically active and lower healthcare utilization was ascertained among Korean adults indicating a need to develop nursing intervention programs that encourage regular physical activity.

A Study on the Factors Affecting Married Women's Fertility Behavior Depending on Patterns of Life Course with Family Role and Economic Activity - Focusing on the Additional Fertility Plan - (생애경제활동유형에 따른 기혼여성의 출산행태 영향요인 연구 - 추가출산계획을 중심으로 -)

  • Kim, Hyun-Jeong
    • Journal of Families and Better Life
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    • v.28 no.6
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    • pp.59-69
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    • 2010
  • This study is to understand the determinants affecting women's fertility behavior (additional fertility plan) using the Korean Longitudinal Survey of Women & Families of 2007. Patterns of married women's life courses are divided into five groups depending on family role and economic activity: family-centered (no work experience) type, latent M type, M type, work-family reconciliation type, and first job entry type. This study performs a binomial logistic regression analysis and the key findings from the study are summarized as follows. First, five distinctive patterns show the different composition: family-centered type (4.5%), latent M type (69.6%), M type (10.4%), work-family reconciliation type (7.4%), and first job entry type (8.1%). Second, socio-economic characteristics, husband characteristics, and value characteristics are statistically significant to additional fertility behavior ; however, institutional character is not significant. Finally, significant factors affecting additional fertility plans vary in different patterns of life courses. Based on these results, this study suggests some policy implications and future research directions.