• Title/Summary/Keyword: level of health related quality of life

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The Relationship between Health-related Quality of Life and Yangseng Level among Blue-Collar Workers (일부(一部) 생산직(生産職) 근로자(勤勞者)들의 건강관련(健康關聯) 삶의 질(質)과 양생수준(養生水準)과의 관계(關係))

  • Bae, Jae-Ryong;Jeong, Myong-Soo;Lee, Ki-Nam
    • Journal of Society of Preventive Korean Medicine
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    • v.12 no.1
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    • pp.1-17
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    • 2008
  • Objective : This research was done to discover whether or not workers' health related quality of life(HRQOL) depends on their own Yangseng(養生) level, which is also known as one's care of one's health, and also if their HRQOL is affected by the level, to what extent. The subjects of the study were blue-collar workers of a workplace. Method : Blue-collar workers of a workplace were asked to fill out their pre-organized questionaires given to them by their company as a process of health examination. The questionaires carried questions regarding their levels of Yangseng and their HRQOL. For the purpose of the research, a total of 961 data were selected from the questionaires filled out by the blue-collar workers and then analyzed. Result : Each workers's level of Yangseng becomes high or low by one or all of general characteristics. With regard to Yangseng level according to health-related lifestyle were found to have a relatively higher level of Yangseng. With reference to HRQOL according to general characteristics, those in the 20s were found to have a physical summary scale(PCS), but no significant difference was found in the other scales. As regards the quality of life(QOL) according to health-related lifestyle, those who exercise regularly were found to have a relatively higher PCS, while no smokers, those who do not drink alcoholic, and those who sleep at least seven hours a day were found to have a relatively higher mental summary scale(MCS). As to the relation between the level of Yangseng and HRQOL, the level of Yangseng was found to have an interrelation with PCS and MCS in terms of its degree. Statistics also show that each area of Yangseng level has a significant impact on the two qualities-PCS and MCS. Conclusion : One who has a higher level of Yangseng was found to be the one who enjoys a higher HRQOL. Specially, the three kinds of habits that are good for good health -non-smoking, no drinking and seeping seven hours a day- were found to be able to improve the QOL. In this respect, those who want to stay healthy are recommended to cultivate a healthier habit of living.

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An Analysis of Factors Affecting Quality of Life through the Analysis of Public Health Big Data (클라우드 기반의 공개의료 빅데이터 분석을 통한 삶의 질에 영향을 미치는 요인분석)

  • Kim, Min-kyoung;Cho, Young-bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.6
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    • pp.835-841
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    • 2018
  • In this study, we analyzed public health data analysis using the hadoop-based spack in the cloud environment using the data of the Community Health Survey from 2012 to 2014, and the factors affecting the quality of life and quality of life. In the proposed paper, we constructed a cloud manager for parallel processing support using Hadoop - based Spack for open medical big data analysis. And we analyzed the factors affecting the "quality of life" of the individual among open medical big data quickly without restriction of hardware. The effects of public health data on health - related quality of life were classified into personal characteristics and community characteristics. And multiple-level regression analysis (ANOVA, t-test). As a result of the experiment, the factors affecting the quality of life were 73.8 points for men and 70.0 points for women, indicating that men had higher health - related quality of life than women.

Analysis of the Types and Affecting Factors of Older People's Health-related Quality of Life, Using Latent Class Analysis (잠재계층분석을 활용한 노인의 건강 관련 삶의 질에 대한 유형화와 영향요인 분석)

  • Jang, Sun-Hee;Yeum, Dong-Moon
    • Research in Community and Public Health Nursing
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    • v.31 no.2
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    • pp.212-221
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    • 2020
  • Purpose: This study aims to identify the types of health-related quality of life (QoL) based on the EuroQoL 5 Dimensions among community older people and predict the factors affecting these types. Methods: This study used data from the 2016 Korea Health Panel Survey, whose participants included 3,848 older people. The data were analyzed using the software jamovi 1.2.17 and Mplus 8.2 for latent class analysis. Results: The subgroups of the older people's health-related QoL were identified as three latent classes: General stable type (43.9%), pain-related low type (35.0%), and general low type (21.1%). The types and characteristics of health-related QoL among the latent classes differed. Comparing the difference between the general low type and general stable type, the subjects showed higher probability of belonging to the general stable type when they were men, younger, higher education level, employment, better subjective health, lower BMI and stress level, and no suicidal ideation. A comparison between the general low type and the pain-related low type showed that the subjects were more likely to be classified as the pain-related low type when they were younger, higher education, employment, and better subjective health. Conclusion: The results showed a significant heterogeneity in the types of health-related QoL among community older people, and the predictors for each type were not the same. These findings present basic data for cultivating nursing interventions that enhance health-related QoL.

Assessment of dental health related quality of life and satisfaction level in patients with orthodontic treatments using Oral Impact on Daily Performances (OIDP) (일상활동구강영향지수(OIDP)를 이용한 교정환자의 구강건강관련 삶의 질과 만족도 평가)

  • Kim, Soo-Kyung;Ki, Eun-Jung;Kim, Sung-Jun;Mun, Seon-Ho;Jang, Min-ji;Jung, Eun-Seo
    • Journal of Korean society of Dental Hygiene
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    • v.18 no.4
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    • pp.535-546
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    • 2018
  • Objectives: This study is to assess the correlation of the changes in dental health-related quality of life before, during, and after orthodontic treatments in the patients. Methods: The self-administered survey was conducted in the patients who completed orthodontic treatments living in Seoul and metropolitan areas using Oral Impact on Daily Performances (OIDP) to identify the relevant factors. Data were analyzed with descriptive statistics of variables, independent t-test, one way ANOVA, and multiple regression analysis. Results: From observations of OIDP before, during, and after orthodontic treatment, discomfort associated with three factors including physical, psychological and social ones showed the statistically significant increases during orthodontic treatment than before the treatment; whereas, it was dramatically dropped afterward. Multiple regression analysis to find the influential factors of satisfaction level on orthodontic treatment by setting before, during, and after OIDP as independent variables and satisfaction on orthodontic treatment as a dependent variable revealed that OIDP before orthodontic treatment and after orthodontic treatment significantly affected satisfaction on orthodontic treatment. Conclusions: The above analysis on the change in patients' dental health-related quality of life showed that the quality of life improved after the orthodontic treatment. Accordingly, patients' quality of life and satisfaction level on orthodontic treatment are expected to improve if they strive to maintain healthy dental health through orthodontic treatment.

Factors Associated with HINT-8 Index (Korean Health-Related Quality of Life Instrument with Eight Items), Focusing on Health Habits, Hand Grip Strength, Chronic Diseases, Mental Health, and Nutrient Intake Status in Korean Older Adults: Based on Korea National Health and Nutrition Examination Survey 2019 Data (우리나라 고령자의 HINT-8 (한국형 건강 관련 삶의 질 측정도구)에 따른 건강습관 및 근력, 만성질환, 정신건강, 영양소 섭취상태 분석: 2019 국민건강영양조사자료)

  • Hye-Sang Lee
    • Journal of the Korean Dietetic Association
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    • v.30 no.2
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    • pp.112-124
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    • 2024
  • This study investigated the factors associated with HINT-8 (Korean health-related quality of life instrument with eight items), including health habits, hand grip strength, chronic disease, chewing function, mental health, and nutrient intake. In this study, the health-related quality of life (HRQoL; HINT-8) was assessed using the data from the 2019 Korea National Health and Nutrition Examination Survey (KNHANES VIII) among Koreans aged over 65, with HINT-8 being evaluated based on the general characteristics. Of the participants from KNHANES VIII, 1,455 subjects were analyzed using SPSS statistics complex samples (Windows ver. 27.0). The HINT-8 score was significantly lower in females and in those aged 75 years or older, lowest educational level, lowest income level, and single households. Logistic regression analysis, adjusted for the general characteristics, revealed a significant association between a lower HINT-8 group and various factors: low aerobic physical activity (OR=1.71, 95% CI=1.25~2.35), low hand grip strength (OR=1.34, 95% CI=1.02~1.78), chewing difficulties (OR=2.17, 95% CI=1.62~2.92), poor self-rated health status (OR=6.11, 95% CI=4.42~8.45), stressful mental status (OR=3.57, 95% CI=2.27~5.63) and poor calcium status (OR=1.45, 95% CI=1.11~1.88). On the other hand, this study could not reveal a significant association between a lower HINT-8 group and factors such as smoking, drinking, chronic disease, and nutrient intake status, except for calcium intake. This study suggests that HINT-8 is associated with aerobic physical activity, hand grip strength, chewing function, mental health, and calcium intake, but not with smoking, drinking, chronic disease, and nutrient intake.

Predictors of Health-related Quality of Life (HRQoL) in the Home-dwelling Disabled Persons by using EQ-5D: Results from the 3rd Korea National Health and Nutritional Examination Survey 2005 (재가 장애인의 EQ-5D를 활용한 건강관련 삶의 질의 영향 요인: 국민건강영양조사 제 3기(2005) 자료를 토대로)

  • Chung, Sung-Suk;Joung, Kyoung-Hwa
    • Korean Journal of Adult Nursing
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    • v.22 no.3
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    • pp.291-302
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    • 2010
  • Purpose: This study was a secondary data analysis aimed at identifying the predictors of health-related quality of life (HRQoL) of the home-dwelling disabled person by using EQ-5D which is a standardized instrument used as a measure of health outcome. Methods: Data were drawn from the 3rd Korea National Health and Nutritional Examination Survey conducted by the Ministry of Health and Welfare (MOHW). Subjects were 1,021 home-dwelling disabled persons over 19 years of age. Data were analyzed by using descriptive statistics, t-test, Pearson's correlation, one-way ANOVA, Scheff$\acute{e}$ test, and Stepwise multiple regression. Results: HRQoL (Health Related Quality of Life) is differentiated within age, genders, educational level, employment status, economic status, types and grades of disability, health problems associated with limited mobility, and the limited duration of time. HRQoL is correlated with age, number of cohabiters, educational level, grades of disability, activities of daily living (ADL), and instrumental ADL (IADL). HRQoL is significantly associated with ADL, health problems in connection with limited mobility, employment status, types of disability, marital status, grades of disability, and the limited duration of time. These factors explained 63.7% of variance in HRQoL. Conclusion: HRQoL among the disabled is related to their characteristics, ADL, and IADL. For this reason, it is necessary to develop health programs to promote those variables required to improve HRQoL.

Study of Stress, Health Promotion Behavior, and Quality of Life of Nursing Students in Clinical Practice and Factors associated with Their Quality of Life (간호대학생의 임상실습 스트레스, 건강증진행위, 삶의 질과 영향요인에 관한 연구)

  • Lee, Myung Sook;Kim, Keum Soon;Cho, Mi-Kyoung;Ahn, Jung Won;Kim, Suno
    • Journal of muscle and joint health
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    • v.21 no.2
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    • pp.125-134
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    • 2014
  • Purpose: The purpose of this study was to identify factors associated with quality of life of nursing students during clinical practice. Methods: A convenience sample of 332 nursing students completed the questionnaire from July to September, 2013. A self-reported questionnaire was used to obtain data on quality of life, stress related to clinical practice, and health promotion behavior. Data was analyzed with independent t-test, one way ANOVA and Scheff${\acute{e}}$'s post hoc test, Pearson correlation coefficients, and hierarchical multiple regression by using SPSS version 20.0. Results: There were significant differences in quality of life scores by age, economic status, interpersonal relationships, daytime somnolence, number of visits in pharmacy and/or healthcare center, health status, and stress management. Quality of life had positive correlation with health promotion behavior but had negative correlation with the level of stress related to clinical practice. Models including these variables explained 34.3% (F=9.77, p<.001) of the variance for quality of life. Age, economic status, sleep amount, numbers of pharmacy/hospital visits, health status, stress during clinical practice, and health promotion behavior were significantly associated with quality of life in nursing students. Conclusion: There is a need to develop and implement new strategies that will result in improvement in nursing students' quality of life.

A Study on Cancer Patients' Quality of Life, Perceived Health Status and Susceptibility.Severity for Cancer Recurrence (암환자의 삶의 질, 지각된 건강상태 및 암재발 인지에 관한 연구)

  • Shin, Im-Sik;Han, Sang-Sook
    • Journal of East-West Nursing Research
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    • v.11 no.2
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    • pp.146-154
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    • 2005
  • Purpose: This study was designed to identify the relationship between quality of life, perceived health status, perceived susceptibility severity to recurrence of cancer and character of object in cancer patients to provide the basic data of effective nursing interventions. Method: The subject of this study was randomly chosen from the patients diagnosed of cancer and being hospitalised or receiving chemotherapy as outpatients, at a Division of Hemato-Oncology, Department of Internal Medicine of a university hospital located in Seoul. The tool used in this study was a measurement tool for quality of life (${\alpha}=.829$), perceived health status (${\alpha}=.903$), and perceived susceptibility and severity for cancer recurrence (${\alpha}=.860$). The collected data were analysed using SPSS PC 12.0 Programme for real number, percentage, average, standard deviation, Pearson's Correlation, t-test and ANOVA, according to the purpose of this study. Result: 1) The score of quality of life in cancer patients was 3.64 point, perceived health status was 2.62 and perceived susceptibility severity to recurrence of cancer was 2.41. 2) There was a significant difference in the quality of life according to general characteristics, such as level of education, occupation, level of activity, pain, medication period, diagnosis, disease stage, purpose of medication, and recurrence. There was a significant difference in perceived health status according to age, level of activity, pain, diagnosis, purpose of medication, and recurrence. There was a significant difference in perceived susceptibility severity to recurrence of cancer according to age, level of education, and pain. 3) The cancer patients' quality of life showed significant correlation with perceived health status, perceived susceptibility severity to recurrence of cancer, pain, job, treatment purpose, relapse. The perceived health status showed significant correlation with perceived susceptibility severity to recurrence of cancer, pain, treatment purpose, relapse. The perceived susceptibility severity to recurrence of cancer showed significant correlation with pain. The relapse showed significant correlation with treatment purpose. The cancer patients' quality of life, perceived health status, and perceived susceptibility and severity for cancer recurrence, as confirmed above, showed differences according to the related factors of each subject, and it was also confirmed that those factors were significantly related with general characteristics. Upon these results, I suggest further studies on the factors that affect the cancer patients' quality of life.

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Factors Influencing the Quality of Life of Community Residents (일개 지역사회 주민의 삶의 질 영향 요인)

  • Jung, Eun-Sook;Choi, Suk-Kyong;Baek, Young-Sook
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.231-239
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    • 2015
  • This study aimed to identify factors that influence the quality of life of 509 community residents in a city in Gyeonggi Province. The study collected data on general characteristics, the incidence of depression, mental health status and quality of life through a structured questionnaire, and the data was analyzed used the SPSS20.0 statistical program. First, quality of life-related to the general characteristics of the research subjects revealed statistically relevant differences regarding gender, age, academic background, marital status, monthly income and stress status. Second, there were relevant differences among detailed factors related to depression and mental health status, overall mental health, social maladjustment and anxiety/depression, and these revealed correlations. Third, the factors that influenced the quality of life were age, stress levels, anxiety/depression of mental health level and the explanation of antecedent variables stood at 47.8%. The result is expected to be the fundamental data to facilitate the application of the program and lead to successful interventions to improve the quality of life of residents.

Relationship between periodontal diseases and quality of life (치주질환자의 구강보건특성과 삶의 질의 관계)

  • Lee, Ji-Young;Kim, Gey-Pyo;Yu, Byeng-Chul
    • Journal of Korean society of Dental Hygiene
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    • v.13 no.5
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    • pp.835-843
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    • 2013
  • Objectives : The purpose of this study was to evaluate the chewing ability, oral-health related quality of life and factors in periodontal disease patients. Methods : Subjects were 111 patients having peridontal disease in 10 dental clinics in Busan and Gyeongsangnamdo. Questionnaire survey was carried out from July to August 2010. Questionnaire consisted of demographic characteristics, oral health factors, chewing ability and quality of life. Data were analyzed by descriptive analysis, t-test, ANOVA, correlation analysis, and multiple regression analysis using SAS(Ver 9.2) set at p<0.05. Results : Chewing ability was $44.85{\pm}8.8$, and their quality of life was $41.7{\pm}8.8$. Low level of quality of life was closely related to those factors as education, missing of more than 5 posterior teeth, certain subjective periodontal symptoms including swollen gums, sore gums, drifting gums, bad breath and toothache. The effective factors to the quality of life was chewing ability, bad breath and toothache. Conclusions : Chewing ability and quality of life were closely related each other. To enhance the quality of life, chewing ability should be improved. Proper treatment and effective method of management should also be properly considered to prevent the subjective periodontal symptoms and to minimize tooth loss.