Mediation Effect of Self-Efficacy on the Relationship between Perceived Self-Management Support and Health-Related Quality of Life among Cancer Survivors

Lee, Bo Gyeong; Lee, Tae Sook; Kim, Soo Hyun

doi:10.4040/jkan.2019.49.3.298

Cited by 14 publications

(9 citation statements)

References 22 publications

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“…This measure was used in a previous study which found that higher scores implied higher HRQoL [ 21 ]. Cronbach’s Alpha in this study was 0.81, and was reported as 0.93 in a previous Korean study [ 22 ]. Adherence to the ACS guideline (2012) was estimated by the following categories: (1) achieving and maintaining a healthy body weight using body mass index, (2) engaging in regular physical activity (MET-hours/week), and (3) following the ACS guidelines for cancer prevention (including achievement of a dietary pattern that is high in vegetables, fruits, whole grains, low in processed and red meat, low alcohol intake, and non-smoking).…”

Section: Methodssupporting

confidence: 65%

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

Kang

Hahn²,

Park³

et al. 2020

IJERPH

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Spousal support may attenuate stress in breast cancer survivors and improve their health-related quality of life (HRQoL). However, there is limited evidence of a relationship between spousal support, stress, and HRQoL in Asian populations. The current study examined whether spousal support, adherence to the American Cancer Society (ACS) Guidelines on Nutrition and Physical Activity for Cancer Survivors, and breastfeeding experience mediated or moderated the relationship between stress and HRQoL in Korean breast-cancer survivors. Between June 2016 and May 2018, 144 Korean women who survived breast cancer were recruited for the current cross-sectional study. Structured questionnaires and medical records were used to collect data. Structural equation modeling was used to examine mediating and moderating factors. Spousal support buffered the adverse effect of stress on HRQoL (β= −0.22 for stress→spousal support; β = 0.27 for spousal support→physical HRQoL; β = 0.40 for spousal support→mental HRQoL). We found that adherence to ACS guidelines moderated the association between stress and HRQoL (β = −0.14 for stress→mental HRQoL in high ACS adherence; β = −0.79 for stress→mental HRQoL in low ACS adherence). Moreover, beta coefficients were −0.22 for stress→mental HRQoL in women with breastfeeding experience, and −0.71 in those without breastfeeding experience. In conclusion, spousal support mediated the association between stress and HRQoL and this association was moderated by both adherence to ACS guidelines and breastfeeding experience.

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Section: Methodssupporting

confidence: 65%

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

Kang

Hahn²,

Park³

et al. 2020

IJERPH

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“…According to mapping of the PACIC subscales onto the CCM elements [ 42 ], it is conceptually sound to use the PACIC as a measure of self-management support in care quality assessments. Self-efficacy is an important outcome of self-management support intervention [ 43 ] and was found to be significantly associated with a patient’s perceived self-management support [ 24 , 26 ]. Thus, we expected that the K-PACIC-CS score would be positively correlated with the CSSES-K score.…”

Section: Methodsmentioning

confidence: 99%

“…It has been used to evaluate the delivery of CCM-based intervention for a variety of chronic illness conditions, including diabetes, osteoarthritis, asthma, hypertension, and chronic obstructive pulmonary disease [ 16 – 21 ]. Several studies have demonstrated that the PACIC is an acceptable, valid, and reliable instrument [ 14 , 15 , 22 – 25 ], and it is associated with measures of self-management behavior [ 16 , 20 ], self-efficacy [ 24 , 26 ], and health-related quality of life (HRQOL) [ 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

Psychometric evaluation of patient assessment of chronic illness care among Korean cancer survivors

2021

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Background The Patient Assessment of Chronic Illness Care (PACIC) was developed in the United States to assess the implementation of the Chronic Care Model (CCM)-based intervention from the patient’s perspective. Although the psychometric properties of the PACIC have been reported in other chronically ill patients, it has not been reported in cancer survivors. Our aim was to evaluate the acceptability, validity, and reliability of a Korean version of the PACIC among cancer survivors (K-PACIC-CS). Methods Among 204 cancer survivors at a university-based hospital in South Korea, we performed psychometric evaluation of the K-PACIC-CS according to acceptability (descriptive statistics, missing values, and floor and ceiling effects), validity (confirmative factor analysis [CFA] and convergent validity), and reliability (internal consistency, i.e., Cronbach’s alpha). Results The item response was high (missing rate = 0.5%). The floor effect was 3.9%– 43.6% and the ceiling effect was 6.9%– 41.2%. The CFA revealed good indices of fit and confirmed the five structures predetermined in the original version of PACIC. The K-PACIC-CS scores had significant positive relationships with cancer survivors’ self-efficacy and health-related quality of life. The total K-PACIC-CS showed excellent internal consistency (Cronbach’s alpha = .94) and those of the subscales were acceptable (Cronbach’s alpha = .76 -.86). Conclusions This study suggests that the K-PACIC-CS is a valid and reliable instrument for measuring implementation of CCM-based chronic care from the survivor’s perspective.

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“…Breast cancer survivors must continuously manage their health by ceasing smoking, reducing alcohol consumption, exercising, and eating a healthy diet to prevent complications of cancer treatment and recurrence [6]. Self-efficacy positively affects the QOL of patients with breast cancer by allowing them to actively cope with health issues related to breast cancer [14,15] and engage in healthy self-care behaviors [13,14,16,17]. Social support is also a major environmental factor that affects the QOL of patients with breast cancer.…”

Section: Plos Onementioning

confidence: 99%

“…Major factors that affect breast cancer patients' QOL after their completion of the primary treatment include physical and psychological symptoms [10][11][12], self-efficacy [13][14][15], and social support [16][17][18]. Symptom experience is an especially important factor in the QOL of patients with breast cancer.…”

Section: Introductionmentioning

confidence: 99%

Determinants of quality of life in women immediately following the completion of primary treatment of breast cancer: A cross-sectional study

Park

Jung²,

Kim³

et al. 2021

PLoS ONE

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Backgrounds Many breast cancer patients experience significant distress immediately following the completion of primary treatment. Women who report low levels of quality of life (QOL) early in this phase of transitional survivorship tend to experience diminished long-term adjustment. However, since most of the prior studies on survivors were conducted on patients at various times, studies on QOL of women during the end of primary treatment have been insufficient. This study aimed to identify determinants of QOL in women with breast cancer immediately following the completion of treatment. Methods A cross-sectional study was conducted on 140 disease-free breast cancer patients who had completed therapy in the past 1 month at university hospitals. Functional Assessment of Cancer Therapy-Breast (FACT-B), Memorial Symptom Assessment Scale-Short Form (MSAS-SF), Self-Efficacy Scale for Self-Management of Breast Cancer (SESSM-B), and Interpersonal Support Evaluation List-12 (ISEL-12) scales were used to assess predictors and QOL. The data were analyzed using the Pearson correlation, t-test, ANOVA, and hierarchical multiple regression. Results The mean score of QOL for breast cancer survivors was 97.23 (±20.01). Chemotherapy and perceived economic status were significantly associated with QOL in terms of sociodemographic and disease/treatment-related characteristics. Physical and psychological symptoms and social support had a significant association with QOL. The regression analyses showed that physical and psychological symptoms and belonging support were statistically significant in predicting the QOL of breast cancer survivors. Conclusions The variables of symptom experience and social support must be acknowledged when improving women’s QOL immediately after their completion of primary breast cancer treatment. Greater focus on the reduction of symptom distress and increasing a sense of belonging could improve QOL among breast cancer survivors.

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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

Cited by 14 publications

References 22 publications

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

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

Psychometric evaluation of patient assessment of chronic illness care among Korean cancer survivors

Determinants of quality of life in women immediately following the completion of primary treatment of breast cancer: A cross-sectional study

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