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Mediation Effect of Self-Efficacy on the Relationship between Perceived Self-Management Support and Health-Related Quality of Life among Cancer Survivors
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Bo Gyeong Lee, Tae Sook Lee, Soo Hyun Kim
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J Korean Acad Nurs 2019;49(3):298-306. Published online January 15, 2019
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DOI: https://doi.org/10.4040/jkan.2019.49.3.298
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 Abstract
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- Abstract
Purpose
This study aimed to examine the levels of perceived self-management support, self-efficacy for self-management, and health-related quality of life (HRQoL) in cancer survivors, and to identify the mediating effect of self-efficacy in the relationship between perceived self-management support and HRQoL.
Methods
This study used a descriptive correlational design. Two hundred and four cancer survivors who had completed treatment participated in the study. Measurements included the Patient Assessment of Chronic Illness Care Scale, the Korean version of the Cancer Survivors’ Self-Efficacy Scale, and the Medical Outcomes Study Short Form-36. Data were analyzed using descriptive statistics, Pearson's correlation coefficient analysis, and multiple regression analysis using Baron and Kenny's method for mediation.
Results
The mean score for perceived self-management support was 3.35 out of 5 points, self-efficacy was 7.26 out of 10 points, and HRQoL was 65.90 out of 100 points. Perceived self-management support was significantly positively correlated with self-efficacy (r=.29, p<.001) and HRQoL (r=.27, p<.001). Self-efficacy was also significantly correlated with HRQoL (r=.59, p<.001). Furthermore, self-efficacy (β=.55, p<.001) had a complete mediating effect on the relationship between perceived self-management support and HRQoL (Z=3.88, p<.001).
Conclusion
The impact of perceived self-management support on HRQoL in cancer survivors was mediated by self-efficacy for self-management. This suggests that strategies for enhancing self-efficacy in cancer survivors should be considered when developing self-management interventions for improving their HRQoL.
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Citations
Citations to this article as recorded by  - Factors Associated With Quality of Life Among Posttreatment Cancer Survivors in Korea
Soo Hyun Kim, Yu Hyeon Choe, Jingyeong Choi, Ji Young Park, Eun Yi
Cancer Nursing.2025; 48(1): E47. CrossRef - Mediating Effect of Self-Efficacy on the Relationship between Symptom Experience and Health-Related Quality of Life in Patients with Chronic Obstructive Pulmonary Disease
Enhee Jo, Ju-Young Park, Young Jun Jang
Journal of Korean Academy of Fundamentals of Nursing.2024; 31(3): 315. CrossRef - An Integrated Review of Health Care in Child and Adolescent Cancer Survivors Based on Roy’s Adaptation Model
Hye Jin Kim, Eunjoo Lee
Asian Oncology Nursing.2024; 24(2): 82. CrossRef - Trajectories of quality of life in breast cancer survivors during the first year after treatment: a longitudinal study
Jin-Hee Park, Yong Sik Jung, Ji Young Kim, Sun Hyoung Bae
BMC Women's Health.2023;[Epub] CrossRef - Effect of perceived chronic illness management support, health literacy, and social support on the care burden of families caring for older people with multiple chronic conditions at home: A cross-sectional study
Eun Sil Lee, Mi Young Kim
Journal of Korean Gerontological Nursing.2023; 25(1): 76. CrossRef - Effects of Uncertainty, Appraisal of Uncertainty, and Self-Efficacy on the Quality of Life of Elderly Patients with Lung Cancer Receiving Chemotherapy: Based on Mishel’s Theory of Uncertainty
Min-Kyung Hwang, Hee-Kyung Kim, Ki-Hyeong Lee
Medicina.2023; 59(6): 1051. CrossRef - Between Personality Traits and Postpartum Depression: The Mediated Role of Maternal Self-Efficacy
Lingli Han, Ji Zhang, Jingxuan Yang, Xiaoyu Yang, Hua Bai
Neuropsychiatric Disease and Treatment.2022; Volume 18: 597. CrossRef - A Structural Model of Quality of Life in Patients after Colorectal Cancer Surgery
Jeong Won Yeom, Yeon Ok Suh
International Journal of Environmental Research and Public Health.2022; 19(5): 2564. CrossRef - The influence of Digital Informatization Level, Self-efficacy, and Social Support on Digital Health Literacy in the Elderly with Cancer
Hye Su Kim, Ji Hyun Sung
Asian Oncology Nursing.2022; 22(4): 255. CrossRef - The Correlation Between Quality of Life and Positive Psychological Resources in Cancer Patients: A Meta-Analysis
Xinxin Zhao, Siqi Tong, Ye Yang
Frontiers in Psychology.2022;[Epub] CrossRef - Integrated, cross-sectoral psycho-oncology (isPO): a new form of care for newly diagnosed cancer patients in Germany
Michael Kusch, Hildegard Labouvie, Vera Schiewer, Natalie Talalaev, Jan C. Cwik, Sonja Bussmann, Lusine Vaganian, Alexander L. Gerlach, Antje Dresen, Natalia Cecon, Sandra Salm, Theresia Krieger, Holger Pfaff, Clarissa Lemmen, Lisa Derendorf, Stephanie St
BMC Health Services Research.2022;[Epub] CrossRef - Self-efficacy, post-traumatic growth, and quality of life of pediatric cancer survivors: A cross-sectional study
Yeunhee Kwak, Yoonjung Kim, Eun Seok Choi, Ho Joon Im
European Journal of Oncology Nursing.2021; 54: 102019. CrossRef - Determinants of quality of life in women immediately following the completion of primary treatment of breast cancer: A cross-sectional study
Jin-Hee Park, Yong Sik Jung, Ji Young Kim, Sun Hyoung Bae, Ka Ming Chow
PLOS ONE.2021; 16(10): e0258447. CrossRef - Psychometric evaluation of patient assessment of chronic illness care among Korean cancer survivors
Soo Hyun Kim, Bo Gyeong Lee, Yu Hyeon Choe, Francesca Chiesi
PLOS ONE.2021; 16(8): e0256119. CrossRef - Mediating and Moderating Factors of Adherence to Nutrition and Physical Activity Guidelines, Breastfeeding Experience, and Spousal Support on the Relationship between Stress and Quality of Life in Breast Cancer Survivors
Nam Mi Kang, Won-Ho Hahn, Suyeon Park, Jung Eun Lee, Young Bum Yoo, Chung Ja Ryoo
International Journal of Environmental Research and Public Health.2020; 17(20): 7532. CrossRef
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Differences in Factors Associated with Depressive Symptoms between Urban and Rural Female Adolescents in Korea
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Gyuyoung Lee, Ok Kyung Ham, Bo Gyeong Lee, Abuan Micah Kim
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J Korean Acad Nurs 2018;48(4):475-484. Published online January 15, 2018
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DOI: https://doi.org/10.4040/jkan.2018.48.4.475
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Abstract
PDF
- Abstract
Purpose
To examine the prevalence of depressive symptoms and differentiate factors associated with them in urban and rural areas by applying the Ecological Models of Health Behavior.
Methods
We employed a cross-sectional design and convenience sample of 460 female adolescents. The instruments included the Adolescent Mental-Health Problem-Behavior Questionnaire (AMPQ-II) and the Beck Depression Inventory (BDI).
Results
Depressive symptoms were confirmed in 15.7% of urban adolescents and 22.9% of rural adolescents (p<.05). In the urban group, perception of health and stress associated with school performance were significantly associated with depressive symptoms. In the rural group, aca-demic/internet related problems and rule violations were significantly associated with depressive symptoms (p<.05). General life happiness, worry/ anxiety, and mood/suicidal ideation were common factors in both urban and rural areas (p<.05).
Conclusion
Multiple factors were associated with depressive symptoms, and those significant factors differed between urban and rural female youths. Accordingly, tailored approaches are required considering urban and rural differences. The approaches should include intrapersonal, interpersonal, and organizational levels of interventions.
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Citations
Citations to this article as recorded by - Rural Suicide: A Systematic Review and Recommendations
Tyler R. Pritchard, Jennifer L. Buckle, Kristel Thomassin, Stephen P. Lewis
Clinical Psychological Science.2025; 13(1): 3. CrossRef - Urban-Rural Differences in the Prevalence of Depressive Symptoms in Korean Adults
Ji-An Jeong, Sun A Kim, Jung Ho Yang, Min-Ho Shin
Chonnam Medical Journal.2023; 59(2): 128. CrossRef - Urbanicity and depression: A global meta-analysis
Colin Xu, Lucille Miao, Devon Turner, Robert DeRubeis
Journal of Affective Disorders.2023; 340: 299. CrossRef - Short Video-Based Mental Health Intervention for Depressive Symptoms in Junior High School Students: A Cluster Randomized Controlled Trial
Yuting Yang, Hao Wang, Wen Sha, Xiaoqin Guo, Wei Deng, Jingyi Wang, Chaowei Fu
Psychology Research and Behavior Management.2023; Volume 16: 4169. CrossRef - Association between mental health and executive dysfunction and the moderating effect of urban–rural subpopulation in general adolescents from Shangrao, China: a population-based cross-sectional study
Qingmin Lin, Cody Abbey, Yunting Zhang, Guanghai Wang, Jinkui Lu, Sarah-Eve Dill, Qi Jiang, M K Singh, Xinshu She, Huan Wang, Scott Rozelle, Fan Jiang
BMJ Open.2022; 12(8): e060270. CrossRef - Measuring Happiness in Adolescent Samples: A Systematic Review
Justė Lukoševičiūtė, Gita Argustaitė-Zailskienė, Kastytis Šmigelskas
Children.2022; 9(2): 227. CrossRef - Effects of Life Skill Training on the School Violence Attitudes and Behavior Among Elementary School Children
Jae Yeon Lee, Ok Kyung Ham, Hyun Soo Oh, Eun Jin Lee, Young Ko, Bongjeong Kim
The Journal of School Nursing.2022; 38(4): 336. CrossRef - Factors Affecting Obesity in Urban and Rural Adolescents: Demographic, Socioeconomic Characteristics, Health Behavior and Health Education
Gyu-Young Lee, Youn-Joo Um
International Journal of Environmental Research and Public Health.2021; 18(5): 2405. CrossRef - Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis
Guo Li, Junhua Mei, Jing You, Jinfeng Miao, Xiaoyan Song, Wenzhe Sun, Yan Lan, Xiuli Qiu, Zhou Zhu
BMC Psychiatry.2019;[Epub] CrossRef
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Factors associated with Self-Rated Health in Metabolic Syndrome and Relationship between Sleep Duration and Metabolic Syndrome Risk Factors
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Bo Gyeong Lee, Jae Yeon Lee, Sun Ah Kim, Dong Min Son, Ok Kyung Ham
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J Korean Acad Nurs 2015;45(3):420-428. Published online June 30, 2015
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DOI: https://doi.org/10.4040/jkan.2015.45.3.420
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Abstract
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Purpose
Purpose was to explore associations between sleep duration and metabolic syndrome (MS) risks, and to determine factors associated with self-rated health (SRH) of adults with MS compared to other adults.
Methods
This is a secondary data analysis based on the Fifth Korea National Health and Nutrition Examination Survey KNHANES V (N=12662). Study instruments included sleep duration, MS risk factors, SRH and health-related quality of life (HRQoL).
Results
Mean age of participants was 43.68±12.26 years. Fifty-eight percent were women, and 18.3% were identified as having MS. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and SRH were significantly different according to sleep duration (p<.05) among all participants. In the non MS group, male gender, younger age (19~30 and 41~50 age brackets) upper income level, sufficient sleep duration, and high density lipoprotein (HDL) were positively associated with SRH, whereas, lower education levels (≤ middle school), glucose level, and waist circumference were negatively associated with SRH (p<.05). In the MS group, lower income, lower education levels (≤ middle school), glucose level, and waist circumference were negatively associated with SRH, whereas, having an occupation was positively associated with SRH (p<.05).
Conclusion
Results suggest that tailored approaches are required for prevention and control of MS and sleep duration of each individual should be considered rather than applying standardized guidelines. However, as sleep quality was not included in the analysis, further investigations regarding influence of sleep quality on MS and SRH and controlling for other lifestyle and health behavior factors are required.
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Citations
Citations to this article as recorded by - Effects of Sleep Duration on Prevalence of Metabolic Syndrome and Metabolic Syndrome Components in Korean Adults
Jiyoung PARK, Byung-sun CHOI
Korean Journal of Health Promotion.2024; 24(4): 167. CrossRef - Lifestyle and Health Behaviors Associated with Metabolic Syndrome and Cardiovascular Disease
Goeun Chung, Hye-Jin Kim
Metabolic Syndrome and Related Disorders.2024; 22(2): 105. CrossRef - Health-related quality of life associated with coexisting chronic conditions in postmenopausal women
Bo Gyeong Lee, Haein Lee
Health Care for Women International.2024; 45(11): 1220. CrossRef - The Unique Role of Self-Rated Health in Metabolic Syndrome and its Diagnostic Cardiometabolic Abnormalities: An Analysis of Population-Based Data
K. Umeh, S. Adaji, L. Graham
Journal of Medical Psychology.2023; 25(1): 7. CrossRef - Sociodemographic and Health Characteristics Associated with Metabolic Syndrome in Men and Women Aged ≥50 Years
Goeun Chung, Hye-Sun Jung, Hye-Jin Kim
Metabolic Syndrome and Related Disorders.2021; 19(3): 159. CrossRef - Mental health according to sleep duration in stroke survivors: A population‐based nationwide cross‐sectional study
Hye‐Mi Moon, Yoonjung Kim
Geriatrics & Gerontology International.2020; 20(3): 223. CrossRef - The Association between Muscle Mass and Metabolic Syndrome Configuration among Korean Adults
Hwa-Ji Kim, Sung-Je Cho, Seong-Hwa Jeong
Journal of Health Informatics and Statistics.2019; 44(3): 279. CrossRef - A Study on Risk Factors of Metabolic Syndrome and Health Behaviors in a Region - 2014 community health survey -
Ok-hee Ahn, Seong-hui Choi, Seo-Hyeon Kim, Si-Ok Ryu, Young-Mi Choi
Journal of the Korea Academia-Industrial cooperation Society.2016; 17(12): 218. CrossRef - Predictors of Sleep Quality Among Young Adults in Korea: Gender Differences
Ae Kyung Chang, Jinyi Choi
Issues in Mental Health Nursing.2016; 37(12): 918. CrossRef - Impact of Menopausal Status, Metabolic Syndrome and its Risk Factors on Impaired Quality of Life above Middle-aged Women
Jisoon Kim, Sukhee Ahn
Korean Journal of Women Health Nursing.2016; 22(4): 275. CrossRef
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