PURPOSE: This study was to investigate the degree of body image, self esteem and quality of life, to identify general and disease of characteristics on influencing this factors with the intention of providing basal data for developing nursing intervention to promote body image, self esteem and quality of life. METHOD: Subjects of this study were 91 grown-up congenital heart patients over 18 years in 2 tertiary hospitals. The data on body image, self esteem and quality of life were collected through questionnaire from March to April 2004. The data were analyzed by descriptive statistics, t-test, Pearson's correlation, ANOVA and tukey test using SAS for Windows 8.1 program. RESULT: 1) The mean scores of body image, self esteem and quality of life were 63.01, 25.29 and 496.79. 2) Body image was correlated with age(p=.0239), educational level(p=.0182), diagnosis(p=.0066), number of operation(p=.0148), cyanosis(p<.0001), complication(p=.0096) and NYHA level(p=.0378). 3) Self esteem was correlated with education level(p=.0026), economic level(p=.0240), number of operation(p=.0113) and cyanosis (p=.0006). 4) Quality of life was correlated with age(p=.0432) and diagnosis(p=.0020), number of operation (p=.0063), duration of last operation(p=.0225), cyanosis(p<.0001), complication(p=.0090) and NYHA level(p<.0001). 5) There was significantly positive relationship between body image, self esteem and quality of life. Subjects with more positive body image had higher self esteem(r=.7897, p<.05) and subjects with higher self esteem had higher quality of life(r=.6091, p<.05).
Body Image* ; Cyanosis ; Education ; Heart* ; Humans ; Intention ; Nursing ; Quality of Life* ; Surveys and Questionnaires ; Self Concept* ; Tertiary Care Centers

INTRODUCTION: REM sleep which shows characteristic muscle atonia and increased resistance of upper respiratory track is known to be vulnerable to sleep apnea. Previous studies reported that REM sleep-dependent (or related) obstructive sleep apnea syndrome (REM-dependent OSA) could be one of sleep disordered breathing. The present study aimed to investigate clinical findings and polysomnographic variables of REM-dependent OSA. METHODS: Fifty-six patients diagnosed with mild to moderate obstructive sleep apnea by overnight polysomnography (52. We compared clinical and polysomnographic findings between REM-dependent OSA and No REM-dependent OSA patients. RESULTS: Among 56 patients, 37.5% (n=21, average age of 52.3+/-19.7 years, 14 males) met the REM-dependent OSA criteria. There were no significant differences in age, sex and body mass index between two groups. After controlling for age, sex, body mass index and periodic leg movements index, REM-dependent OSA patients showed significantly lower AHI, lower number of oxygen desaturation events and higher stage 2 sleep proportion compared to No REM-dependent OSA patients (p=0.010, p=0.006, p=0.031, respectively). After controlling for age, sex, body mass index and periodic legs movements index, AHI-REM was positively correlated with the number of oxygen desaturation events in REM-dependent OSA group (p=0.002). CONCLUSION: Current results suggested that 37.5% of patients with mild to moderate severity of obstructive sleep apnea could be classified into REM-dependent OSA. REM-dependent OSA was more common in mild severity of OSA, equally prevalent in both sexes and accompanied with sleep architecture changes, i.e. increased proportion of stage 2. In addition, apneic events during REM sleep in REM-dependent OSA were related to oxygen desaturation.
Body Mass Index ; Humans ; Leg ; Muscles ; Oxygen ; Polysomnography ; Sleep Apnea Syndromes ; Sleep Apnea, Obstructive ; Sleep, REM ; Track and Field

This study examined burdens of primary family carcgivcrs of paticnto with cerebrovascular accidents (CVA) along with related factors. In addition, their needs for support group intervention were assessed to develop a support group to reduce the burdens of caregiving. Eighty-one primary family caregivers of patients with CVAs at a general hospital in Seoul participated in this study . The patients with CVAs aged from 26 to 83 years with mean age of 63 years. About 90% of the patients had some paralysis and 56.6% suffered speech problems. Fifty-eight percent of the primary family caregivers were spouses of the patients and 80.2% were women. Primary family caregivers' burdens were assessed by the Burden Scale originally devel oped by Zarit (1980) and Novak & Geust(1989) and modified by Jang (1995) for use in Korea. The instrument consists of six subscales time-dependent burden, developmental burden, physical burden, emotional burden, social burden, and financiaI burden. The results were as follows : 1. The average of burden score was 91.7, indicating moderate to severe level of burden. The time-dependent burden was scored highest followed by physical, developmental, social, financial, and emotional burdens. 2. of the characteristics of patients, age, gender, and severity of the disease were found to be associated with the level of burden. Of the characteristics of primary family caregivers, age and educational level were significantly related to the level of burden. Time of care since the CVA and the quality of relationship between a patient and a caregiver prior to the stroke were significant situational factors affecting the level of burden. 3. The need for support group intervention for the caregivero was very high (95.1%). The earcgivcrs of patients who had a CVA for the first time showed higher levels of need compared to those of patients who had a CVA more than once. The caregivers indicated a support group held once a month near home or hospital would be welcomed. In addition, they replied that a group composed of 9 to 10 caregivers and guided by health care professionals (e.g., physicians and nurses) would be most desirable. More than 85% of the earegivers identified the areas that they wanted intervention in as follows : knowledge, skills, and resources to care for a patient with a CVA. the counsel of health care professionals, share of their experiences with those who have similar situations, stress management skills, and methods to overcome emotional isolation due to the great responsibility for a patient. Given the results, support group is expected to be an effective way to reduce the burdens of primary family caregivers of patients with CVAs. As a follow up It is necessary to examine the effect of support group intervention on the patient's recovery and rehabilitation.
Caregivers* ; Delivery of Health Care ; Female ; Hospitals, General ; Humans ; Korea ; Paralysis ; Rehabilitation ; Self-Help Groups* ; Seoul ; Spouses ; Stroke*

PURPOSE: This study aimed to develop a smartphone overdependence prevention program for college students based on the self-determination theory (SDT) and evaluate its effectiveness.METHODS: A non-equivalent control group repeated measures design was used for the study. Participants were 64 university freshmen (experimental group: 29, control group: 35). The developed program consists of eight sessions conducted twice a week. The program was designed to promote autonomy, competence, and relatedness the three elements of the basic psychological needs of self-determination theory. The participants were assessed before the program, immediately after, and 1 and 3 months after the program. Data were collected from April 23 to September 14, 2018 and analyzed by performing a Chi-square test, Fisher's exact test, independent t-test, and repeated measures ANOVA using SPSS/WIN 23.0.RESULTS: This study showed improvement in the basic psychological needs (F=3.90, p =.010) in the experimental group compared to the control group. Specifically, competence (F=2.93, p =.035), relatedness (F=2.89, p =.045), and self-regulatory ability (F=3.11, p =.028) improved significantly.CONCLUSION: Study findings indicate thatthe smartphone overdependence prevention program based on the Self-determination theory could be an effective intervention for improving basic psychological needs and self-regulation ability. Therefore, this program could be an efficient strategy for smartphone overdependence prevention in university students.
Humans ; Mental Competency ; Personal Autonomy ; Self-Control ; Smartphone

Purpose: This study investigated the factors influencing smartphone overdependence in university students using an ecological model and descriptive research. Methods: Data were collected from 482 students at 13 universities in the six regions in South Korea from October 20, 2020, to March 25, 2021. Data analysis involved descriptive statistics, the chi-square test, the independent samples t-test, analysis of variance, and hierarchical multiple regression. Results: The significant ecological factors influencing smartphone overdependence included self-awareness of smartphone overdependence (β=.33, p<.001), autonomy (β=–.25, p<.001), average daily smartphone usage time (β=.18, p<.001), gender (β=.15, p=.001), college year (β=.15, p=.020), forming relationships with others as a motivation for smartphone use (β=–.15, p=.008), friend support (β=.14, p=.006), and age (β=–.12, p=.047). The model explained 34.9% of the variance. Conclusion The study emphasized the role of personal and interpersonal factors, in smartphone overdependence among university students. Tailored intervention strategies are necessary to address smartphone overdependence, considering the unique characteristics of students’ environments. A significant aspect of this study is that it provides an explanation of the multidimensional factors contributing to smartphone overdependence among university students, including intrapersonal, interpersonal, and environmental influences.

Purpose: This study investigated the factors influencing smartphone overdependence in university students using an ecological model and descriptive research. Methods: Data were collected from 482 students at 13 universities in the six regions in South Korea from October 20, 2020, to March 25, 2021. Data analysis involved descriptive statistics, the chi-square test, the independent samples t-test, analysis of variance, and hierarchical multiple regression. Results: The significant ecological factors influencing smartphone overdependence included self-awareness of smartphone overdependence (β=.33, p<.001), autonomy (β=–.25, p<.001), average daily smartphone usage time (β=.18, p<.001), gender (β=.15, p=.001), college year (β=.15, p=.020), forming relationships with others as a motivation for smartphone use (β=–.15, p=.008), friend support (β=.14, p=.006), and age (β=–.12, p=.047). The model explained 34.9% of the variance. Conclusion The study emphasized the role of personal and interpersonal factors, in smartphone overdependence among university students. Tailored intervention strategies are necessary to address smartphone overdependence, considering the unique characteristics of students’ environments. A significant aspect of this study is that it provides an explanation of the multidimensional factors contributing to smartphone overdependence among university students, including intrapersonal, interpersonal, and environmental influences.

Purpose: This study investigated the factors influencing smartphone overdependence in university students using an ecological model and descriptive research. Methods: Data were collected from 482 students at 13 universities in the six regions in South Korea from October 20, 2020, to March 25, 2021. Data analysis involved descriptive statistics, the chi-square test, the independent samples t-test, analysis of variance, and hierarchical multiple regression. Results: The significant ecological factors influencing smartphone overdependence included self-awareness of smartphone overdependence (β=.33, p<.001), autonomy (β=–.25, p<.001), average daily smartphone usage time (β=.18, p<.001), gender (β=.15, p=.001), college year (β=.15, p=.020), forming relationships with others as a motivation for smartphone use (β=–.15, p=.008), friend support (β=.14, p=.006), and age (β=–.12, p=.047). The model explained 34.9% of the variance. Conclusion The study emphasized the role of personal and interpersonal factors, in smartphone overdependence among university students. Tailored intervention strategies are necessary to address smartphone overdependence, considering the unique characteristics of students’ environments. A significant aspect of this study is that it provides an explanation of the multidimensional factors contributing to smartphone overdependence among university students, including intrapersonal, interpersonal, and environmental influences.

Purpose: This study investigated the factors influencing smartphone overdependence in university students using an ecological model and descriptive research. Methods: Data were collected from 482 students at 13 universities in the six regions in South Korea from October 20, 2020, to March 25, 2021. Data analysis involved descriptive statistics, the chi-square test, the independent samples t-test, analysis of variance, and hierarchical multiple regression. Results: The significant ecological factors influencing smartphone overdependence included self-awareness of smartphone overdependence (β=.33, p<.001), autonomy (β=–.25, p<.001), average daily smartphone usage time (β=.18, p<.001), gender (β=.15, p=.001), college year (β=.15, p=.020), forming relationships with others as a motivation for smartphone use (β=–.15, p=.008), friend support (β=.14, p=.006), and age (β=–.12, p=.047). The model explained 34.9% of the variance. Conclusion The study emphasized the role of personal and interpersonal factors, in smartphone overdependence among university students. Tailored intervention strategies are necessary to address smartphone overdependence, considering the unique characteristics of students’ environments. A significant aspect of this study is that it provides an explanation of the multidimensional factors contributing to smartphone overdependence among university students, including intrapersonal, interpersonal, and environmental influences.

PURPOSE: This study was to identify the factors influencing the practice of respiratory infection prevention (RIP) for the elderly residing in rural areas.METHODS: The data were collected from 188 residents aged 65 years or older residing in the jurisdictions of four public health clinics in rural areas of C city, using a structured questionnaire for the period from December 1, 2018 to February 28, 2019. The collected data were analyzed with independent t-test, one-way ANOVA, Pearson's correlation coefficients, and hierarchical multiple regression analysis using SPSS/WIN 25.0 program.RESULTS: The score on knowledge of RIP was 8.82±1.36, while it was 4.53±0.47 for attitude, 3.78±0.66 for practice, and 3.78±0.69 for social capital. It was observed that the factors influencing the practice of RIP were attitude of RIP (β=.38, p < .001), social capital (β=.29, p < .001), family type (β=−.19, p=.002), and subjective health status (β=.15, p=.035), while the explanatory power of the model was 47%.CONCLUSION: Consequently, to enhance the practice of RIP for the elderly residing in rural areas, it is necessary to develop programs considering social and environmental characteristics of rural areas based on their attitude of RIP, social capital, family type and subjective health status.

Purpose: The purpose of this article is to evaluate effects of self-determination theory-based on-campus and off-campus prevention programs on smartphone overdependence among university students. Methods: This was a pre-posttest quasi-experimental study with a nonequivalent control group (CG). Seventy-eight students were recruited as participants. They were allowed to choose either an experiment group (EG) or a CG. On-campus smartphone overdependence prevention program was provided to participants in experimental group 1 (EG1), while on-campus program combined with off-campus prevention camp was provided to those in experimental group 2 (EG2). Instruments used in this study included a smartphone overdependence self-diagnosis scale, a basic psychological needs scale, and a self-regulation ability scale. Data collection was performed at baseline, immediately after intervention, at 1 month and 3 months after intervention. Data were analyzed using mixed analysis of covariance. Focus group interview was performed for qualitative evaluation. Results: After the intervention, smartphone overdependence and basic psychological needs exhibited significant interactions between group and time. Smartphone overdependence scores decreased in EG1 and EG2 but increased in CG (F = 4.56, p = .001). Basic psychological needs improved in EG1 and EG2 but deteriorated in CG (F = 5.04, p = .009). Focus group interviews revealed that participants strived to control their smartphone usage through individual efforts and by interacting with new friends in college even after completing the program. Conclusion In this study, on-campus only program and combined intervention of on- and off-campus programs were both effective in maintaining and managing smartphone use. However, participants perceived that the off-campus program provided an opportunity to apply the theory learned in on-campus to the real world.