• Title/Summary/Keyword: the Influencing Factors

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Factors Influencing Fundus Examination in Patients with Diabetes (당뇨병 환자의 안저검사 수검 영향요인)

  • An, Soodeuk;Yu, Jungok
    • Journal of Korean Public Health Nursing
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    • v.32 no.1
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    • pp.44-55
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    • 2018
  • Purpose: This study was conducted to identify factors influencing fundus examination to prevent diabetic retinopathy in diabetes patients to provide basic data to improve screening rates of fundus examinations. Methods: Raw data from the 6th Korea National Health and Nutrition Examination Survey, which is a cross-sectional and nationally representative survey, were used in this study. The subjects of the study were 1,029 adult diabetes patients over the age of 19 years who had been diagnosed with diabetes. The demographic characteristics, diabetes and disease-related characteristics and health behavior characteristics according to the fundus examinations were analyzed by the chi-squared test and logistic regression analyses were used to examine the factors influencing fundus examination. Results: A total of 333 patients underwent fundus examination at a screening rate of 32.2%. We identified factors influencing fundus examination in patients with diabetes as level of education, type of diabetes care, period of diabetes, and smoking. Conclusion: A multiple approach is required to raise the low screening rate of fundus examination, including specialized education for low-education groups. Moreover, nursing intervention should focus on subjects who do not engage in insulin and oral hypoglycemic agents and with diabetes for a long period.

Factors Influencing the Burden Felt by Main Family Caregivers of Elderly Patients with Brain and Spinal Diseases (뇌.척추질환 노인 환자 주 가족수발자의 부담감에 영향을 미치는 요인)

  • Park, Hee-Kyung;Park, Kyung-Min
    • Research in Community and Public Health Nursing
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    • v.22 no.4
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    • pp.389-398
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    • 2011
  • Purpose: This study of this study was to identify factors influencing the burden of main family caregivers who take care of elderly patients with brain and spinal diseases. Methods: This was conducted as descriptive research and data were collected from 255 main family caregivers who were taking care of elderly patients with brain and spinal diseases from 4 hospitals in Daegu and Gyeongbuk Province. Stepwise-multiple regression was used to identify the influencing factors of burden felt. Results: As the score of burden felt by the main family, economic, social, physical, interdependent and emotional burdens were high in order. Factors influencing burden felt by main family care givers taking care of elderly patients with brain and spinal diseases were changed relation with patient after hospitalization, daily life ability, marital status, education and family caregiver's personality (explanatory power of 24.6%). Family caregivers felt a heavier burden when their relation with the patient was changed negatively or when the patient's activity of daily living was low. Conclusion: Based on these results, we need to develop coping measures and interventional programs for reducing the burden felt by the main family caregivers of elderly patients with brain and spinal diseases.

Factors Influencing Sleep of Elderly Women (재가 여성노인의 수면에 영향을 미치는 요인)

  • Sok, So-Hyune R.;Choi, Jin-Yi
    • Journal of Korean Academy of Nursing
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    • v.40 no.1
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    • pp.119-126
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    • 2010
  • Purpose: The study was done to identify factors influencing the sleep of elderly women. Methods: Data were collected by questionnaires from 203 elderly women in Seoul and Gyeong-gi province. Measures were physical health state, family support, life satisfaction, sleep, depression, and quality of life. Data were analyzed using Pearson correlation coefficients, t-test, ANOVA, and stepwise multiple regression with SPSS/WIN 13.0 version. Results: The mean score for sleep for elderly women was 39.04. Sleep for elderly women according to religion, education level, spouses, and monthly income showed significant differences. Sleep for elderly women showed significantly positive correlations to physical health state, family support, life satisfaction, and quality of life. The significant factors influencing sleep of elderly women were physical health state, family support, depression, and quality of life, which explained about 70.4% of the variance. The strongest factors influencing the sleep was physical health state. Conclusion: The results suggest that in developing nursing interventions and practice for sleep pattern of elderly women spouses and family support should be considered.

Problems with Bone Health and the Influencing Factors of Bone Mineral Density in Women across the Life Cycle (여성의 생애주기별 골건강 문제 및 골밀도 영향요인: 2010년 국민건강영양조사 자료 이용)

  • Chun, Nami;Chae, Hyunj
    • Women's Health Nursing
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    • v.21 no.1
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    • pp.43-54
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    • 2015
  • Purpose: This study was conducted to identify the problem of bone health and potential influencing factors of bone mineral density (BMD) for women across the life cycle of menopause. Methods: Complex sampling design data analysis was performed on the fifth Korea National Health and Nutrition Examination Survey 2010 in order to identify the problems with bone health, BMD and its influencing factors in 3,499 women who answered the menopausal status. Women's life cycle was categorized by premenopausal, postmenopausal, and elderly. Results: 35.1% of premenopausal women, 73.3% of postmenopausal women, and 96.0% of elderly women had problems with bone health that were related to low BMD. Influencing factors of BMD were residential area, alcohol drinking, and body mass index (BMI) for premenopausal women; age, residential area, education, marital status, income, and BMI for postmenopausal women; and age, education, and BMI for elderly women. Conclusion: Problems with bone health required to be considered as a major health problem in all women regardless their life cycle. Interventions to maximize BMD need to be developed by considering its influencingfactors across the women's life cycle.

Factors influencing automobile black box purchase decision (차량용 블랙박스 구매결정에 영향을 미치는 요인)

  • Nam, Soo-tai;Lee, Sang-won;Lee, Hyun-chang;Jin, Chan-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.112-115
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    • 2013
  • Recently, a great attention has been paid to a car black box device in the automobile markets besides it provides an accident re-construction based on the data which contains audio, video, and some meaningful driving informations. Also, it is expected that the device will get to promote around public transit and the market will greatly grow within a few years. Thus, this research conducted of preference the influencing factors in decisions purchase of auto black box. Factors influencing in decisions purchase of black box was divided safety, functionality, differentiation, economics. Questionnaire survey was conducted to those who worked in black box company. This study suggests practical and theoretical implications of factors influencing in purchase decisions based on the results.

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Influencing Factors on Antenatal Depression (산전우울의 영향요인)

  • Kim, Hae-Won;Jung, Yeon-Yi
    • Women's Health Nursing
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    • v.16 no.2
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    • pp.95-104
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    • 2010
  • Purpose: This study examined the influencing factors on antenatal depression among pregnant women. Methods: This was a cross sectional descriptive study with 255 pregnant women who visited a general hospital in a metropolitan city for their regularly scheduled check-up. Measurement tools employed were the Korean version of Beck Depression Inventory (BDI), the food habits, and the Pittsburg Sleep Quality Index (PSQI). Socio-demographic variables and the status of high risk pregnancy were identified. Influencing factors on antenatal depression were identified using a stepwise multiple regression analysis. Results: The mean score of antenatal depression was $7.2{\pm}5.0$; 18.4% with mild depression, 5.9% had moderate depression, with 0.8% identified with severe depression on BDI scale. Influencing factors on antenatal depression accounted for 47.8% of the total variance which consisted of quality of sleep, marital satisfaction, food habits, gestation periods, sexual satisfaction, high risk pregnancy, and age. Conclusion: Findings show that antenatal depression should be monitored on a regular basis during early pregnancy and in high risk pregnancy if possible, and quality of sleep and food habits should be incorporated in the management of antenatal depression.

Influencing Factors on Osteopenia and Osteoporosis in Korean Aged 50 Years and Above (우리나라 50세 이상 성인의 골감소증과 골다공증 영향요인)

  • Jeon, Eun Young;Kim, Sook Young
    • The Korean Journal of Rehabilitation Nursing
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    • v.19 no.2
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    • pp.148-155
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    • 2016
  • Purpose: The purpose of this study was to identify the influencing factors on osteopenia and osteoporosis in Korean aged 50 years and above. Methods: Data from the Fifth Korean National Health and Nutrition Examination Survey (KNHANES V-1, 2010) were obtained and 2,773 subjects who got bone density test and were classified "normal, osteopenia or osteoporosis" were selected. Data were analyzed $x^2$ test, ANOVA, $Scheff{\acute{e}}$ test and logistic regression using the SAS 9.4. Results: Gender, age, days of flexibility exercise, vitamin D in blood and weight were found to be influencing factors for osteoporosis in Korean aged 50 years and above. Gender. age and smoking were found to be influencing factors for osteopenia in Korean aged 50 years and above. Conclusion: This study suggested that nursing intervention should include exercise promotion, intake vitamin D, smoking cessation and weight control program in order to reduce the prevalence of osteoporosis and osteopenia.

An Analysis of Profitability Influencing Factors for Pension Business (펜션사업의 수익성에 관한 영향요인 분석)

  • Lee Jung-Hyun;Kim Dong-Hoon;Kim Yong-Su
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.6 s.22
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    • pp.162-169
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    • 2004
  • The purpose of this study is to analyze the factors Influencing profitability of pension business. for this purpose, the research method include questionnaire survey and multiple regression analysis. The results of this study are as follows (1) the factors influencing profitability includes location, operation method, building type, distance, environment, theme in descending order (2) a regression equation to predict profitability is suggested.

The Influence of Organizational Commitment and Resilience on Presenteeism among Clinical Nurses (임상간호사의 조직몰입과 회복탄력성이 프리젠티즘에 미치는 영향요인)

  • Ko, Jinhee;Im, Mihae;Gwon, Jeongok
    • Korean Journal of Occupational Health Nursing
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    • v.29 no.1
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    • pp.38-48
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    • 2020
  • Purpose: This study was conducted to identify the factors influencing organizational commitment and resilience onpresenteeism in clinical nurses. Methods: The subjects were 202 nurses working at 5 hospitals in B city. The data were collected through questionnaires and analyzed by t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression. Results: Work impairment was negatively correlated with organizational commitment and resilience. Perceived productivity was positively correlated with organizational commitment and resilience. Influencing factors on work impairment were organizational commitment (β=-.22 p=.005) and hardiness (β=-.16, p=.042), with 10% explanatory power. Influencing factors on perceived productivity were organizational commitment (β=.24, p=.002) and hardiness (β=.16, p=.042), with 11% explanatory power. Conclusion: Based on this research, appropriate programs and policies that consider influencing factors such as organizational commitment and hardiness in resilience are needed to reduce the level of presenteeism in clinical nurses.

The Factors Influencing on Employment Stress of University Students (대학생의 취업 스트레스에 영향을 미치는 관련 요인)

  • Byun, Eun Kyung;Yoon, Suk Ja;Kim, Kyung Hee
    • Korean Journal of Occupational Health Nursing
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    • v.23 no.3
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    • pp.146-153
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    • 2014
  • Purpose: This study examined to explore factors influencing on employment stress of university students. Methods: The data were collected by structured questionnaires to students who agreed to be the subjects of this study. And 230 cases were finally analyzed. T-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression were conducted for data analysis using SPSS/WIN 18.0. Results: Significant differences revealed in age, department of major, residental type and school year on employment stress by general characteristics. Also, employment stress showed negative correlation with self-esteem, and satisfaction in major. Self-esteem and satisfaction in major, department of major were confirmed as a factors influencing on employment stress and accounted for 36% of the variance. Conclusion: Further studies that discover factors influencing on employment stress of university students are needed, and also practical programs are necessary to decrease employment stress of university students.