• Journal of Korean Academy of Nursing
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• v.40 no.4
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• pp.589-598
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• 2010

Purpose: The purpose of this study was to investigate the factors that increase of the risk for falls in low-income elders in urban areas. Methods: The participants were elderly people registered in one of public health centers in one city. Data were collected by interviewing the elders, assessing their environmental risk factors, and surveying relevant secondary data from the public health center records. For data analysis, descriptive statistics and multiple logistic regression were performed using SPSS version 14. Results: Stroke, diabetes, visual deficits, frequency of dizziness, use of assistive devices and moderate depression were statistically significant risk factors. The comorbidity of chronic diseases with other factors including depression, visual deficit, dizziness, and use of assistive devices significantly increased the risk of falls. From multiple logistic regression analysis, statistically significant predictors of falls were found to be stroke, total environmental risk scores, comorbiditiy of diabetes with visual deficits, and with depression. Conclusion: Fall prevention interventions should be multifactorial, especially for the elders with stroke or diabetes, who were identified in this study as the high risk group for falls. A fall risk assessment tool for low-income elders should include both the intrinsic factors like depression, dizziness, and use of assistive devices, and the extrinsic factors.

• Korean Journal of Health Education and Promotion
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• v.30 no.5
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• pp.125-138
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• 2013

Objectives: The purpose of this study is to analyze factors associated with depression among workers in South Korea by socio-economic factors, health behaviors, and working conditions. Methods: Study subjects include 4,251 adults (19 and older) who are currently working using the data from 2009 National Health and Nutrition Survey. Data were analyzed using frequency test, $X^2$ test, and multiple logistic regression. Results: Multiple logistic regression analysis showed that gender (OR=1.91, p<.001), age (OR=1.53, p=.030), marital status (31-39: OR=1.88, p=.029) were significantly related to depressing among socio-economic factors. Next, among health behaviors factors, perceived health status (Poor: OR=1.76, p=.049; Very poor: OR=3.46, p=.002) was statistically significant. Among characteristics of work environment, trust and respect (OR=1.34, p=.049) and working with hidden emotion (OR=1.88, p<.001) were significantly related to depression. Conclusions: In order to manage and reduce depression among workers, it is important to develop appropriate mental health promotion programs both in work places and in regulations.

• Korean Journal of Occupational Health Nursing
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• v.14 no.1
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• pp.5-15
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• 2005

Purpose: The purpose of this study are to identify the influencing factors on work-related musculoskeletal disorders of women workers. Method: Data were collected by questionnaires from 616 women workers from in such industries as electronics, food product, garment product and analyzed using descriptive statistics, multiple logistic regression. Result: As its result, 71.3% of female manufacturing workers had musculoskeletal symptom. When Multiple logistic regression analysis on factors relating to musculoskeletal symptoms was carried out, age, work posture, job demand, type of industry, working hour, type of work, family support were statistically significant variables. Conclusion: In conclusion, this study identifies that age, work posture, job demand, type of industry, working hour, type of work, family support are important factors affecting WMSDs.

• Journal of muscle and joint health
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• v.4 no.2
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• pp.277-296
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• 1997

This study was conducted to investigate the influencing factors on the appraisal of uncertainty in patients having rheumatoid arthritis. Subjects of the study constituted 528 patients who visited outpatient clinics of two university hospitals and one general hospital in Seoul. Self report questionnaires were used to measure the variables influencing the appraisal of uncertainty. Reliability coefficients of these instruments were found Cronbach's Alpha=$.70{\sim}.96$. In data analysis, SPSS PC 6.0 program was utilized for descriptive statistics, Pearson's correlation, logistic and multiple regression analysis. The results of logistic and multiple regression analysis were as follows 1) Among the independent variables, significant factors to explain the appraisal of uncertainty in patients were uncertainty(p<.001), severity of illness(p<.05), educational level (p<.05) and age (p<.05). 2) When patients appraised uncertainty as "Danger", significant factors to explain the appraisal of uncertainty were uncertainty(p<.0001), age(p<.0005), severity of illness(p<.001), educational level (p<.05). 3) When patients appraised uncertainty as "Opportunity", significant factors to predict the appraisal of uncertainty were uncertainty(p<.0005), social support(p<.0005), severity of illness(p<.005), credible authority(p<.05), age(p<.05) and educational level (p<.05).

• Women's Health Nursing
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• v.17 no.5
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• pp.484-490
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• 2011

Purpose: This study was aimed to investigate the impact of job stress on low back symptoms among Clinical nurses (CNs) in university hospital. Methods: A total of 322 CNs employed in a hospital in Seoul were interviewed by a well-trained interviewer using the structured questionnaire. Data collected for this study includes demographics, social and work characteristics, low back symptoms, and job stress. To test the impact of job stress on low back symptoms, we used multiple logistic regression analysis. Results: The prevalence of low back symptoms was 25.8% in this study. Low back symptoms differed significantly by factors, such as physical work burden, past history of injury and work duration. Also low back symptoms differed significantly by organizational system among independent variables of job stress. In a multiple logistic regression analysis, the odds ratio of organizational system to low back symptoms was 2.07 after an adjustment. Conclusion: This study showed that organizational system among job stress was a significant variable in explaining low back symptoms. We suggest the improvement of organizational system category as a preventive strategy for low back pain in CNs working in hospital.

• Journal of Home Health Care Nursing
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• v.26 no.1
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• pp.27-35
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• 2019

Purpose: This study investigated sleep satisfaction and influencing factors in Korean adolescents with atopic dermatitis. Methods: Data were obtained from 4,570 subjects who completed the 2017 13th Korea Youth Risk Behavior Web-based Survey. For data analysis, descriptive statistics and multiple-sample logistic regression were used. Results: The results of this study were as follows. Gender, academic achievement, economic status, perceived stress, happiness, health status, and depression in the subjects showed a significant difference in terms of sleep satisfaction in atopic adolescents. Multiple-sample logistic regression analysis showed that male adolescents (odds ratio (OR)=0.48), academic achievement (low OR=0.67, middle OR=0.78), economic status (low OR=0.50, middle OR=0.64), lack of depression (OR=0.63), perceived stress (very OR=4.65, a little OR=2.25), perceived happiness (unhappy OR=1.99, moderate OR=1.22), perceived health status (unhealthy OR=2.17, ordinary OR=1.35), alcohol nondrinking (OR=0.75), and nonsmoking (OR=0.73) were not associated with sleep satisfaction. Conclusion: It is necessary to develop interventions that can relieve stress management and depression and develop positive emotions in atopic adolescents. In addition, there is a need to improve the environment to avoid health risks such as alcohol consumption and smoking and to minimize the effects of passive smoking.

• Safety and Health at Work
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• v.12 no.1
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• pp.108-113
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• 2021

Background: This study aimed to investigate the relationship between changes in employment status and new-onset depressive symptoms through a one-year follow-up of permanent waged workers. Methods: We analyzed the open-source data from the Korea Welfare Panel Study. Using the 2017 data, we selected 2,314 permanent waged workers aged 19 to 59 years without depressive symptoms as a base group. The final analysis targeted 2,073 workers who were followed up in 2018. In 2018, there were five categories of employment status for workers who were followed up: permanent, precarious, unemployed, self-employed, and economically inactive. Multiple logistic regression was used to determine the association between employment status change and new-onset depressive symptoms. Results: Adjusted multiple logistic regression analysis showed that among male workers, workers who went from permanent status to being unemployed (odds ratio: 4.50, 95% confidence interval: 1.19 to 17.06) and from permanent status to being precarious workers (odds ratio: 3.15, 95% confidence interval: 1.30 to 7.65) had significantly high levels of new-onset depressive symptoms compared with those who retained their permanent employment status. There were no significant increases in new-onset depressive symptoms of male workers who went from permanent status to being self-employed or economically inactive. On the other hand, no significant differences were found among female workers. Conclusion: Our study suggests that the change of employment status to precarious workers or unemployment can cause new-onset depressive symptoms in male permanent waged workers.

• Journal of Home Health Care Nursing
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• v.27 no.3
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• pp.284-293
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• 2020

Purpose: Based on Anderson's model of health service utilization, we investigated the factors that affect the influenza vaccination status in Korean adults aged 50-64 years, who live alone. Methods: Data of 194 Korean adults aged 50-64 years, who live alone were obtained from the Korea National Health and Nutrition Examination Survey 7th Edition (2016-2018). Descriptive statistics and a multiple logistic regression model were used for statistical analysis. Results: The influenza vaccination rate in the study population was 39.3%. Educational status and health behaviors such as smoking habits and regular medical check-up were associated with the influenza vaccination rate in Korean adults aged 50-64 years, who live alone. Multiple logistic regression analysis showed that educational level lower than middle school graduation (odds ratio [OR] 2.02), non-smoking status (OR 1.98), and lack of regular medical check-up (OR 0.62) were significantly associated with the influenza vaccination rate in Korean adults aged 50-64 years, who live alone. Conclusion: The influenza vaccination rate in Korean adults aged 50-64 years, who live alone, is relatively low; therefore, policies should be implemented to improve the influenza vaccination rate in this population. Influenza vaccination in single households was affected by health promotion activities; therefore, interventions are warranted to encourage overall health promotion activities.

• Health Policy and Management
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• v.31 no.2
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• pp.207-216
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• 2021

Background: Good patient experience is positively associated with adherence to treatment recommendations, better clinical effectiveness, and health outcomes. This study aims to find out the key factors affecting positive patient experience to improve the quality of care using nationally representative survey data. Methods: The data was collected from the 6th National Health Nutrition Survey in 2015. Four patient experience items were investigated for patients with visiting outpatient care over the past year. Positive patient experience was defined as a case of responding always or usually yes. The t-test, chi-square test, and multiple logistic regression were performed to determine the key factors affecting the outpatient experience. Results: More than 80% of the respondents reported their care experience as positive excluding doctor spending enough time during the consultation. Male, poor health status, and single/divorced, and the longer time interval between outpatient care visit and survey were found to be significantly correlated with negative care experiences in the multiple logistic regression. Patients who received outpatient care at the oriental medicine clinic had a positive experience compared to those received outpatient care at the general hospital. However, patient factors including age, income, job, and insurance type had no significant association with patient experience. Conclusion: Health care providers should prioritize patients who report negative patient experiences and implement management decisions to improve the patient experience.

• Journal of Preventive Medicine and Public Health
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• v.54 no.2
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• pp.129-136
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• 2021

Objectives: This study examined demographic factors hampering access to healthcare at hospitals and suggests policy approaches to improve healthcare management in Thailand. Methods: The data for the study were drawn from a health and welfare survey conducted by the National Statistical Office of Thailand in 2017. The population-based health and welfare survey was systematically carried out by skilled interviewers, who polled 21 519 384 individuals. The independent variables related to demographic data (age, sex, religion, marital status, education, occupation, and area of residence), chronic diseases, and health insurance coverage. The dependent variable was the degree of access to healthcare. Multiple logistic regression analysis was subsequently performed on the variables found to be significant in the univariate analysis. Results: Only 2.5% of the population did not visit a hospital when necessary for outpatient-department treatment, hospitalization, or the provision of oral care. The primary reasons people gave for not availing themselves of the services offered by government hospitals when they were ill were-in descending order of frequency-insufficient time to seek care, long hospital queues, travel inconvenience, a lack of hospital beds, unavailability of a dentist, not having someone to accompany them, and being unable to pay for the transportation costs. Multiple logistic regression analysis showed that failure to access the health services provided at hospitals was associated with demographic, educational, occupational, health welfare, and geographic factors. Conclusions: Accessibility depends not only on health and welfare benefit coverage, but also on socioeconomic factors and the degree of convenience associated with visiting a hospital.