• Title/Summary/Keyword: Ordinal Logistic Regression Analysis

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Depressive Symptoms and Menstrual Cycle Irregularity among Community Women of Childbearing Age

  • Heeja Jung;Yanghee Pang
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.109-117
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    • 2023
  • Menstrual cycle irregularity reflects the reproductive health of women of childbearing age, but studies are scant on women in communities. In this study, we identified factors associated with menstrual cycle irregularity among 884 community women of childbearing age (19-40 years) and confirmed the relationship between menstrual cycle irregularity and depressive symptoms. Data were collected through online or mobile platforms. We noted that 25% of participants had menstrual cycle irregularity. Multivariable ordinal logistic regression analysis revealed that age, irregular eating, and depressive symptoms were associated with menstrual cycle irregularity. After adjusting for confounding variables, participants with depressive symptoms were at a slightly higher risk of menstrual cycle irregularity (odds ratio = 1.078, confidence interval = 1.021-1.139). Additional support be provided for community-living women of childbearing age with depressive symptoms, to improve their reproductive health

Utilization of Electrical Conductivity to Improve Prediction Accuracy of Cooking Loss of Pork Loin

  • Kyung Jo;Seonmin Lee;Hyun Gyung Jeong;Dae-Hyun Lee;Sangwon Yoon;Yoonji Chung;Samooel Jung
    • Food Science of Animal Resources
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    • v.43 no.1
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    • pp.113-123
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    • 2023
  • This study investigated the predictability of cooking loss of pork loin through relatively easy and quick measurable quality properties. The pH, color, moisture, protein content, and cooking loss of 100 pork loins were measured. The explanatory variables included in all linear regression models with an adjust-r2 value of ≥0.5 were pH and the protein content. In the linear regression model predicting cooking loss, the highest adjust-r2 value was 0.7, with pH, CIE L*, CIE b*, moisture, and protein content as the explanatory variables. In 30 pork loins, electrical conductivity was additionally measured, and as a result of linear regression analysis for predicting cooking loss, the highest adjust-r2 value was 0.646 with electrical conductivity measured at 40 Hz, with pH and color as the explanatory variables. Ordinal logistic regression analysis was performed to predict the three grades (low, middle, and high) of loin cooking loss using pH, color, and 40 Hz electrical conductivity as the explanatory variables, and the percent concordance was 93.8%. In conclusion, the addition of electrical conductivity as an explanatory variable did not increase the prediction accuracy of the linear regression model for predicting cooking loss; however, it was demonstrated that it is possible to predict and classify the cooking loss grade of pork loin through quality properties that can be measured quickly and easily.

Factors Affecting the Degree of Occupational Satisfaction of Workers Engaged in Working Environment Measurements Company (작업환경측정기관 근로자의 직업 만족도 영향 요인 분석)

  • Yang, Wonho;Kim, Chi Nyon;Kim, Tae-Hyeung;Roh, Young Man;Sim, Sang-Hyo;Won, Jung-Il;Lee, Chae-Kwan;Chung, Kwang-Ho;Jeong, Jee Yeon;Cho, Kee Hong;Phee, Young Gyu;Kim, Sunshin
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.23 no.2
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    • pp.114-122
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    • 2013
  • Objectives: This study was performed in order to investigate by questionnaire the factors affecting the occupational satisfaction of work-environment measurement workers, as well as to suggest fundamental materials for systematic, administrative and economic improvements which are necessary to create a vision for the future. Material and Methods: A structured questionnaire was used at a total of 152 institutions and 1,254 work-environment measurement workers throughout the country from February to September 2012. Responses came from 97 institutions (64%) and 941 work-environment measurement workers (75.1%). The factors affecting the job satisfaction of work-environment measurement workers were statistically evaluated through $x^2$-test and ordinal logistic regression analysis. Results: Major factors affecting the job satisfaction of workers in relation to work-environment measurement were working, financial, and psychological conditions (p<0.05). Conclusions: Considering the results of this study, the improvement of labor conditions should be undertaken because workers engaged in work-environment measurement are fundamental to occupational health.

Association Between Cohabitation Status and Sleep Quality in Families of Persons With Dementia in Korea: A Cross-sectional Study

  • Kim, Seung Hoon;Park, Minah;Jeong, Sung Hoon;Jang, Sung-In;Park, Eun-Cheol
    • Journal of Preventive Medicine and Public Health
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    • v.54 no.5
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    • pp.317-329
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    • 2021
  • Objectives: The aim of this study was to identify the association between cohabitation status and sleep quality in family members of people with dementia (PwDs). Methods: Data of 190 365 participants aged ≥19 years from the 2018 Korea Community Health Survey were analyzed. Participants were categorized according to their cohabitation status with PwDs. Multiple logistic regression and ordinal logistic regression analyses were performed to evaluate the relationship between the cohabitation status of PwDs' relatives and sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI) and PSQI subscales. Results: Compared to participants without PwDs in their families, both cohabitation and non-cohabitation with PwDs were associated with poor sleep quality (cohabitation, male: odds ratio [OR],1.28; 95% confidence interval [CI], 1.08 to 1.52; female: OR, 1.40; 95% CI, 1.20 to 1.64; non-cohabitation, male: OR, 1.14; 95% CI, 1.05 to 1.24; female: OR, 1.23; 95% CI, 1.14 to 1.33). In a subgroup analysis, non-cohabiting family members showed the highest odds of experiencing poor sleep quality when the PwD lived alone (male: OR, 1.48; 95% CI, 1.14 to 1.91; female: OR, 1.58; 95% CI, 1.24 to 2.01). Cohabiting male and female participants had higher odds of poor subjective sleep quality and use of sleeping medications than non-cohabiting male and female participants, respectively. Conclusions: The residence of PwDs and cohabitation status may contribute to poor sleep quality among PwDs' family members. The circumstances faced by cohabiting and non-cohabiting family members should be considered when evaluating sleep quality in family members of PwDs, and appropriate interventions may be needed to improve sleep quality in both cohabiting and non-cohabiting family members.

Determinants of Trust in Local Governments - Focusing on Risk Perception (사회 안전인식에 따른 지방자치단체 신뢰도 영향요인 분석)

  • Lee, Yun Ju;Choi, Yeol
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.4
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    • pp.591-597
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    • 2022
  • As social anxiety is increasing due to the spread of the COVID-19 epidemic, the responses at the level of local governments are also changing depending on the characteristics. We analyzed the factors influencing perceptions of social safety as they relate to the trustworthiness of local governments. Based on a 2020 social survey of 16 cities, counties, and districts in Busan Metropolitan City, the effects of householder characteristics, economic characteristics, local attachment characteristics, and social safety perception characteristics on the reliability of the local government were analyzed through an ordinal logistic regression analysis. It was found that the more vulnerable the class was and the safer the region was, the higher the trust was in the basic local government. In order to respond and preemptively recover damage in natural and social disaster situations, continuous efforts are needed to strengthen the capabilities of basic local governments.

A Study on Ergonomic Uncomfortableness on ADL for Korean Elderly People (우리나라 노인들을 대상으로 한 일상생활에서의 인간공학적 불편성 조사 연구)

  • Lee, Yong-Hui;Lee, Dong-Chun;Lee, Sang-Do
    • Journal of the Ergonomics Society of Korea
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    • v.23 no.3
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    • pp.101-109
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    • 2004
  • This paper reports the results on age and gender of Korean elderly people for the level of difficulty in performing household tasks (meal preparation, grocery shopping, house cleaning, laundry), personal tasks (dressing, bathing, grooming), transfer tasks (getting in and out of chairs, getting in and out of bath-tub, using stairs) and management tasks (using telephone, accessing mail, operating door locks). A questionnaire based on the Activities of Daily Living (ADL) scale was constructed and administered to 40 Korean elderly subjects aged from 65 to 84(mean age: 74.5, SD: 5.8) in Busan. Additionally, a logistic regression was performed with age (continuous variable) and gender as predictor variables, and reponses to individual questions as the categorical ordinal response variables. To determine appropriate age separation at which difficulty levels in performing activities of daily living change, a discriminant analysis was performed on the responses. All predictor variables were used in the analysis. Accommodating age related changes in functional abilities, and increasing functional independence of elderly people will entail significant design modifications to products, systems and environments for daily use and living.

Analyzing empirical performance of correlation based feature selection with company credit rank score dataset - Emphasis on KOSPI manufacturing companies -

  • Nam, Youn Chang;Lee, Kun Chang
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.4
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    • pp.63-71
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    • 2016
  • This paper is about applying efficient data mining method which improves the score calculation and proper building performance of credit ranking score system. The main idea of this data mining technique is accomplishing such objectives by applying Correlation based Feature Selection which could also be used to verify the properness of existing rank scores quickly. This study selected 2047 manufacturing companies on KOSPI market during the period of 2009 to 2013, which have their own credit rank scores given by NICE information service agency. Regarding the relevant financial variables, total 80 variables were collected from KIS-Value and DART (Data Analysis, Retrieval and Transfer System). If correlation based feature selection could select more important variables, then required information and cost would be reduced significantly. Through analysis, this study show that the proposed correlation based feature selection method improves selection and classification process of credit rank system so that the accuracy and credibility would be increased while the cost for building system would be decreased.

Factors Influencing the Physical Activity of Foreign Workers: Based on a Health Promotion Model (외국인 근로자의 신체활동에 영향을 미치는 요인: 건강증진모형 기반)

  • Cho, Jeong Eui;Ha, Yeongmi
    • Research in Community and Public Health Nursing
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    • v.32 no.3
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    • pp.344-355
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    • 2021
  • Purpose: With low birth rates and aging population problems in Korea, the number of foreign workers grows rapidly. The purpose of this study was to identify factors influencing physical activity of foreign workers based on a Health Promotion Model by examining relationships between acculturation, perceived benefits, perceived barriers, exercise self-efficacy, activity-related affect, social support, and physical activity. Methods: The participants were foreign workers aged 18 to 60 who were employed at eight shipyards. A questionnaire was distributed to 216 participants. Results: As a result of the multivariate ordinal logistic regression analysis, factors affecting physical activity of foreign workers were perceived benefits (B=.65, 95% CI=0.08~1.22), exercise self-efficacy (B=.16, 95% CI=0.05~0.26), integration (B=.41 95% CI=0.14~0.69), and social support for physical activity (B=.48, 95% CI=0.12~0.83). The total explanatory power was 17.7% (x2=41.95, p<.001). Conclusion: Based on these results, there is a need to develop a customized program to increase physical activities of foreign workers by enhancing integration, perceived benefits, exercise self-efficacy and social support.

High Risk Groups in Health Behavior Defined by Clustering of Smoking, Alcohol, and Exercise Habits: National Heath and Nutrition Examination Survey (흡연, 음주와 운동습관의 군집현상을 통한 건강행태의 고위험군: 국민건강영양 조사)

  • Kang, Ki-Won;Sung, Joo-Hon;Kim, Chang-Yup
    • Journal of Preventive Medicine and Public Health
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    • v.43 no.1
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    • pp.73-83
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    • 2010
  • Objectives: We investigated the clustering of selected lifestyle factors (cigarette smoking, heavy alcohol consumption, lack of physical exercise) and identified the population characteristics associated with increasing lifestyle risks. Methods: Data on lifestyle risk factors, sociodemographic characteristics, and history of chronic diseases were obtained from 7,694 individuals ${\geq}20$ years of age who participated in the 2005 Korea National Health and Nutrition Examination Survey (KNHANES). Clustering of lifestyle risks involved the observed prevalence of multiple risks and those expected from marginal exposure prevalence of the three selected risk factors. Prevalence odds ratio was adopted as a measurement of clustering. Multiple correspondence analysis, Kendall tau correlation, Man-Whitney analysis, and ordinal logistic regression analysis were conducted to identify variables increasing lifestyle risks. Results: In both men and women, increased lifestyle risks were associated with clustering of: (1) cigarette smoking and excessive alcohol consumption, and (2) smoking, excessive alcohol consumption, and lack of physical exercise. Patterns of clustering for physical exercise were different from those for cigarette smoking and alcohol consumption. The increased unhealthy clustering was found among men 20-64 years of age with mild or moderate stress, and among women 35-49 years of age who were never-married, with mild stress, and increased body mass index (>$30\;kg/m^2$). Conclusions: Addressing a lack of physical exercise considering individual characteristics including gender, age, employment activity, and stress levels should be a focus of health promotion efforts.

Comparison of Poisoning Severity Score (PSS) according to alcohol co-ingestion in intentional poisoning patients (의도적인 중독 환자들의 음주 여부에 따른 중독 중증도 지수의 비교)

  • Jun, Min jae;Ahn, Tae kyu;Kang, Soo
    • Journal of The Korean Society of Clinical Toxicology
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    • v.19 no.1
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    • pp.17-23
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    • 2021
  • Purpose: Alcohol ingestion enhances impulsivity and aggression, and has been proven to have a close relationship with suicide. This study investigates whether alcohol co-ingestion affects the Poisoning Severity Score (PSS) grade in patients with intentional poisoning. Methods: We conducted a retrospective analysis of intentional poisoning patients who visited the emergency department (ED) from January 1 to December 31, 2020. Patients were divided into non-drunken and drunken groups. We collected the data based on the medical records of the patients and serum ethanol level results recorded during initial blood tests at the ED. To grade the PSS, the highest score was assessed through clinical signs and test results during the hospital stay. A comparative analysis was conducted between the two groups. Results: A total of 277 patients were included in the study. 163 (58.8%) were in the non-drunken group, and 114 (41.2%) were in the drunken group. The PSS grade showed a significant difference between the two groups (p=0.002). While grade 1 (mild) was observed more in the non-drunken group, grade 2 (moderate) and grade 3 (severe) were seen more in the drunken group. In an ordinal logistic regression analysis, alcohol co-ingestion (adjusted odds ratio [aOR] 2.557, 95% confidence interval [CI] 1.554-4.208, p<0.001) was considered to be a risk factor for a higher PSS grade. There was no significant correlation between the serum ethanol level and the PSS grade. (p=0.568) Conclusion: Intentional poisoning patients with alcohol co-ingestion had a higher PSS. Hence close observation and aggressive treatment in the ED is warranted in such cases.