PURPOSE
The purpose of this study was to identify and compare the factors influencing attitude toward one's own aging among Korean middle-aged adults and the elderly.
METHODS
A cross sectional study was performed with a total sample of 70 middle-aged adults and 64 elderly reside in two metropolitan areas. Data were collected from August 2015 to November 2015 using the Perceived Health Status Scale, the Health Locus of Control Scale and the Attitude Toward own Aging (ATOA) Scale. The statistics used include percentage, t-test, Pearson's correlation coefficient, and multiple regression.
RESULTS
Mean age for each age group were about 52 and 76 years old for middle-aged adults and the elderly respectively. A considerable proportion of all participants reported a negative attitude toward aging. Perceived health status was the common factor influencing attitude toward one's own aging in both age groups. Middle-aged adults identified presence of chronic illness and internal health locus of control as important factors. In contrast, the elderly reported that education and others-dependent health locus of control such as powerful others had a significant impact on ATOA. Each regression model explained 31% and 55% of the total variance of ATOA among middle-aged adults and among the elderly.
CONCLUSION
Both middle-aged adults and the elderly with low perceived health status are at risk of negative ATOA's. The type health locus of control need to be identified and utilized based on individuals' tendency to improve positive ATOA. That is, middle-aged adults might need reinforcement of their self-will whereas the elderly might need enhancement of social support and network of family and healthcare providers.

Citations

• Combatting ageism in the Western Pacific region
  Liat Ayalon, Senjooti Roy
  The Lancet Regional Health - Western Pacific.2023; 35: 100593.     CrossRef
• Effects of Health Status, Depression, Gerotranscendence, Self-Efficacy, and Social Support on Healthy Aging in the Older Adults with Chronic Diseases
  Hee-Kyung Kim, Jeong-Hyo Seo
  International Journal of Environmental Research and Public Health.2022; 19(13): 7930.     CrossRef
• Effects of Cognicise-Neurofeedback on Health Locus of Control, Depression, and Quantitative Electroencephalography Alpha Asymmetry in Elderly Women
  Heewook Weon, Jieun Yoo, Jumhwa Yu, Miso Park, Haekyoung Son
  Brain Sciences.2021; 11(7): 899.     CrossRef
• “Better be dead than grow older:” A qualitative study on subjective aging among older Koreans
  Eun Young Choi, Sung Hyun Ko, Yuri Jang
  Journal of Aging Studies.2021; 59: 100974.     CrossRef
• Negative attitudes toward aging mediated the association between HIV status and depression among older people in mainland china
  Sitong Luo, Xue Yang, Zixin Wang, Pei Qin, Hui Jiang, Xi Chen, Jianmei He, Bishan Huang, Joseph Tak-fai Lau
  Journal of Affective Disorders.2020; 277: 1005.     CrossRef
• Influence of the Perception of Aging Symptoms as a Mediator and Moderator on the Relationship between Family Function and Stress in Middle-Aged Adults
  Hyun-E Yeom, Kyoung Ok Ju
  Korean Journal of Adult Nursing.2020; 32(2): 175.     CrossRef

PURPOSE
The purpose of this study was to determine the relationships among health locus of control, resilience, social support, and health promoting behavior in patients with coronary artery diseases.
METHODS
This study utilized a descriptive correlational design using a survey method. The subjects were 165 coronary artery disease patients at the cardiology out-patient clinic of the C university hospital. Data were collected through Health Locus of Control Scale, Resilience Scale, ENRICHD Social Support Instrument, Health Promoting Lifestyle Profile scale. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and hierarchial regression.
RESULTS
There were significant positive bivariate correlations of health promoting behavior with internal health locus of control, doctors health locus of control, resilience and social support respectively, and correlation between resilience and social support. Among predictors, internal health locus of control (beta=.28), social support (beta=.28) and resilience (beta=.25) had statistically significant influences on health promoting behavior.
CONCLUSION
These results proposed that internal health locus of control, social support and resilience have important influences on health promoting behavior. Nursing interventions to enhance internal health locus of control, resilience and social support might be essential for patients with coronary artery disease in order to promote their health behaviors.

Citations

• The Association Between Clinical Nurses’ Work Environment, Job Stress, and Health Locus of Control and Presenteeism in South Korea
  Jin-Young Park, Yong-Sook Eo
  Healthcare.2024; 12(22): 2293.     CrossRef
• Effects of health perception, health literacy, and resilience on health behaviors among elderly women
  Yong Mi Kim, Min Sun Song
  Korean Journal of Health Education and Promotion.2024; 41(2): 79.     CrossRef
• The effects of self-efficacy, a health-promoting lifestyle, and social support on resilience of patients receiving percutaneous coronary intervention: A descriptive survey study
  Su-Jin Kim, Jeong-soo Kim
  Journal of Korean Gerontological Nursing.2024; 26(4): 403.     CrossRef
• Associations Between Psychological Factors and Adherence to Health Behaviors After Percutaneous Coronary Intervention: The Role of Cardiac Rehabilitation
  Emma R Douma, Willem J Kop, Nina Kupper
  Annals of Behavioral Medicine.2024; 58(5): 328.     CrossRef
• Psychological separation, health locus of control, and transition readiness in adolescents and young adults with type I diabetes
  Nuri Kang, Sunhee Lee
  Journal of Pediatric Nursing.2024; 76: 38.     CrossRef
• Factors Influencing Resilience in Patients with Multiple Myeloma: A Cross-Sectional Study
  Hae-Lyeon Jeon, Hye-Ah Yeom
  Korean Journal of Adult Nursing.2024; 36(1): 41.     CrossRef
• Health-Promoting Behaviors, Relationship Satisfaction, and Resilience Among a Community Sample
  Chelsey L. Holden, Pam Rollins, Mosiah Gonzalez
  Contemporary Family Therapy.2023; 45(2): 146.     CrossRef
• Self-Management Behaviors for Chronic Low Back Pain in Patients with Spinal Disease: A Structural Equation Modeling Analysis
  Jeom Suk Jung, Gwang Suk Kim
  Korean Journal of Adult Nursing.2023; 35(4): 340.     CrossRef
• Predictive and Protective Role of Grit, Internal Locus of Control and Social Support in Mental Health of Cardiac Patients
  Syed Messum Ali Kazmi, Fatima Murtaza, Farhan Hashmi, Masooma Iftikhar, Muhammad Nasar Iqbal, Awais Nasir
  Pakistan Journal of Health Sciences.2023; : 34.     CrossRef
• Factors Influencing the Dementia-Preventive Behaviors among Middle-Aged Persons with Chronic Diseases in Korea
  Jisung Park, Juh Hyun Shin
  International Journal of Environmental Research and Public Health.2021; 18(6): 2936.     CrossRef
• Factors related to Bowel Cleanliness of Colonoscopy Examinees
  Yohan Lee, Haejung Lee
  Korean Journal of Adult Nursing.2021; 33(6): 545.     CrossRef
• Factors affecting frailty among community-dwelling older adults: A multi-group path analysis according to nutritional status
  Eunjung Kim, Sohyune R. Sok, Chang Won Won
  International Journal of Nursing Studies.2021; 115: 103850.     CrossRef
• Vitamin D levels are associated with trait resilience but not depression in a general population sample
  Jan Terock, Anke Hannemann, Deborah Janowitz, Jasmin Müller, Henry Völzke, Hans J. Grabe
  Brain and Behavior.2020;[Epub]     CrossRef
• Resilience and its correlates among first ischemic stroke survivors at acute stage of hospitalization from a tertiary hospital in China：a cross-sectional study
  Zhihui Liu, Xuan Zhou, Wei Zhang, Lanshu Zhou
  Aging & Mental Health.2020; 24(5): 828.     CrossRef
• Korean frailty and aging cohort study (KFACS): cohort profile
  Chang Won Won, Seoyoon Lee, Jinhee Kim, Doukyoung Chon, Sunyoung Kim, Chang-O Kim, Mi Kyung Kim, Belong Cho, Kyung Mook Choi, Eun Roh, Hak Chul Jang, Sang Joon Son, Jin-Hee Lee, Yong Soon Park, Sam-Gyu Lee, Bong Jo Kim, Hyeon Ju Kim, Jaekyung Choi, Hyuk G
  BMJ Open.2020; 10(4): e035573.     CrossRef
• Prevalence of Physical Frailty and Its Multidimensional Risk Factors in Korean Community-Dwelling Older Adults: Findings from Korean Frailty and Aging Cohort Study
  Heeeun Jung, Miji Kim, Yunhwan Lee, Chang Won Won
  International Journal of Environmental Research and Public Health.2020; 17(21): 7883.     CrossRef
• Factors Influencing the Improvement in Lifestyle Among Patients with Colorectal Cancer
  Song Ok Lim, Sangeun Jun
  Korean Journal of Adult Nursing.2019; 31(3): 325.     CrossRef
• Predictive model for quality of life in patients with recurrent coronary artery disease
  Eunhee Jo, Sung Reul Kim, Hye Young Kim
  European Journal of Cardiovascular Nursing.2019; 18(6): 501.     CrossRef
• Gender Comparison Factors Influencing Regular Exercise Adherence in Patients with Coronary Artery Disease: Data from the 6th Korea National Health and Nutrition Examination Survey (2013~2015)
  Hyekyung Jin, Minju Kim
  Journal of Korean Academy of Fundamentals of Nursing.2018; 25(2): 134.     CrossRef
• Effects of Birth Control Empowerment Program for Married Immigrant Vietnamese Women in South Korea
  Jihyun Kim, Nam Cho Kim
  Korean Journal of Women Health Nursing.2017; 23(1): 1.     CrossRef
• The Effects of Smart Program for Patients Who Underwent Percutaneous Coronary Intervention (SP-PCI) on Disease-Related Knowledge, Health Behavior, and Quality of Life: A Non-Randomized Controlled Trial
  Jueun Lee, Haejung Lee
  Journal of Korean Academy of Nursing.2017; 47(6): 756.     CrossRef
• The Mediating Effect of Resilience on Depression and Rehabilitation Motivation in Stroke Patients
  Eun Sil Choi, Eun Nam Lee, Jeong Lim Cho
  Journal of muscle and joint health.2016; 23(1): 19.     CrossRef
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  Eun-Ju Kim
  Journal of the Korea Academia-Industrial cooperation Society.2015; 16(12): 8525.     CrossRef

PURPOSE
The purpose of this study was to explore the differences of health locus of control and treatment compliance according to general characteristics and severity in acute coronary syndrome(ACS) patients after percutaneous coronary intervention.
METHODS
This descriptive study was conducted with a convenient sample of 103 ACS patients. The dependent variables were measured by the scales for the Multidimensional Health Locus of Control and the Treatment Compliance. The collected data were analyzed by the Fisher's exact test, Chi-square and t-tests, and ANOVA using the SPSS/WIN program.
RESULTS
Pre-interventional severity was significantly different between men and women. In terms of internal health locus of control, there was a significant difference according to gender, educational status, economic status, and severity. The level of medication compliance was the lowest among the sub-scales of treatment compliance.
CONCLUSION
These findings suggest that clinical nurses should evaluate the general characteristics and severity of the patients with ACS for providing tailored nursing interventions.