The Influence of Uncertainty in Illness, Stress Appraisal, and Hope on Coping in Survivors of Breast Cancer

Wonghongkul, Tipaporn; Moore, Shirley; Musil, Carol M.; Schneider, Susan; Deimling, Gary T.

doi:10.1097/00002820-200012000-00004

Cited by 100 publications

(91 citation statements)

References 30 publications

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“…In previous research studying persons with serious illness (Chen, 2003 ;Her th, 1992 ;Hirano et al, 2006 ;Lin et al, 2003;Wonghongkul, 2000), physical and psychological discomfort or suffering resulting from illness has been found to negatively influence HHI scores.…”

Section: Hhi Scores and Related Factorsmentioning

confidence: 95%

“…Previous research involving patients with severe dis ease has shown that lower levels of HHI are correlated with illness-related experiences and distress (Chen, 2003 ;Herth, 1992 ;Hirano et al, 2006;Lin et al, 2003 ;Wonghongkul, 2000). This is likely because severe illnesses create suffering that may persist intermittently up until the time of the HHI survey itself.…”

Section: Hhi Scores and Related Factorsmentioning

confidence: 99%

“…HHI-related research has focused on individuals which chronic disease such as HIV/AIDS (Herth, 1990), cancer (Chen, 2003 ;Herth, 1990 ;Herth, 2000 ;Lin et al, 2003 ;Wonghongkul, 2000), myotrophic lateral sclerosis (ALS) (Hirano et al, 2006), as well as other individuals suffering chronic difficulties such as the elderly (Koizumi et al, 1999), certain categories of workers (Konishi and Esaki, 2004), and family members providing palliative home care (Chapman and Pepler, 1998). Factors found to contribute to the HHI score include sex, income, marital status, length of illness (Herth, 1992 ;Konishi and Esaki, 2004), specific illness diagnosis (Herth, 1990), pain and other forms of physical suffering (Chen, 2003 ;Herth, 1992 ;Hirano et al, 2006 ;Lin et al, 2003), uncer tainty (Wonghongkul, 2000), illness-related wor ries and frustrations, social difficulties, psychoso cial support, and happiness (Hirano et al, 2006).…”

mentioning

confidence: 99%

“…Factors found to contribute to the HHI score include sex, income, marital status, length of illness (Herth, 1992 ;Konishi and Esaki, 2004), specific illness diagnosis (Herth, 1990), pain and other forms of physical suffering (Chen, 2003 ;Herth, 1992 ;Hirano et al, 2006 ;Lin et al, 2003), uncer tainty (Wonghongkul, 2000), illness-related wor ries and frustrations, social difficulties, psychoso cial support, and happiness (Hirano et al, 2006).…”

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confidence: 99%

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The Herth Hope Index (HHI) and related factors in the Japanese general urban population

Hirano

Sakita

Yamazaki

et al. 2007

Jpn. J. Health Hum. Ecol

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In this study we sought to demonstrate the reliability and validity of the Japanese Herth Hope Index (HHI) 12, a psychometric instrument for measuring hope, in a general urban population, and to investigate factors correlated with the HHI score. Anonymous written surveys were collected from 255 male and female residents living in Tokyo "N" ward and Saitama "T" township aged 20-69. The Cronbach a coefficient was 0.89, and confirmatory factor analysis showed three-dimensionality. We also observed hope to strongly correlate with having reasons for living and benefit-finding, confirming the reliability and validity of the Japanese HHI scale. Mean HHI score was 35.5. Stratified multi ple linear regression analysis on factors which correlated with the HHI score showed HHI scores to correlate positive with age, the presence of a spouse, and sufficient psychosocial support. We also found that younger subjects receiving sufficient social support enjoyed HHI scores equivalent to older subjects, while women's higher HHI scores appeared attributable to extensive social support networks. No correlation was observed with adverse experiences or history of illness. This study shows that HHI scores in the general urban population are not unexpectedly high compared with pre viously studied subjects with serious disease, that advanced age correlates with higher HHI scores, and that receipt of social support may mediate positive influences on the HHI score.

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Section: Hhi Scores and Related Factorsmentioning

confidence: 95%

Section: Hhi Scores and Related Factorsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

The Herth Hope Index (HHI) and related factors in the Japanese general urban population

Hirano

Sakita

Yamazaki

et al. 2007

Jpn. J. Health Hum. Ecol

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“…Uncertainty, conceptualized by Mishel (1988, p. 225) as the "inability to determine the meaning of illness-related events," has been found to be a significant predictor of threat and harm appraisals in long-term breast cancer survivors (Wonghongkul, Moore, Musil, Schneider, & Deimling, 2000). No studies were identified that explored the precise relationship between uncertainty and cognitive appraisal during the post-radiation treatment transition.…”

Section: Factors Influencing Cognitive Appraisalmentioning

confidence: 99%

Predictors of psychosocial adjustment during the post-radiation treatment transition

Mazanec¹

2010

PsycEXTRA Dataset

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The aim of this study was to examine the role of cognitive appraisal in predicting psychosocial adjustment during the post-radiation treatment transition. A predictive correlational design was used in a convenience sample of 80 patients with breast, lung, and prostate cancer who were receiving radiation therapy. Two weeks prior to completion of treatment, subjects completed instruments to measure symptom distress, uncertainty, cognitive appraisal, social support and selfefficacy for coping. The Psychosocial Adjustment to Illness Scale was administered one month after therapy. Adjustment was significantly correlated with all independent variables, age, and comorbidity. Young age and high amounts of threat appraisal, harm/loss appraisal, uncertainty, and symptom distress were significantly associated with poor adjustment. The model predicted 52% of the variability in adjustment. Cognitive appraisal was not a significant explanatory variable for adjustment when controlling for uncertainty, cancer stage, age, and symptom distress. Symptom distress was the only significant predictor of adjustment.

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Development of an adjustment ability scale for outpatients with cancer: Verification of its reliability and validity

Hirokawa

Suzuki

2018

Nursing Open

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AimsTo develop an adjustment ability scale for outpatients with cancer and to investigate its reliability and validity.DesignQuantitative study.MethodsA proposed adjustment ability scale was prepared based on scale development guidelines. Its reliability and validity were statistically analysed using data obtained from 369 patients.ResultsSix factors were extracted from the factor analysis. Cronbach's α coefficient was 0.95 and the test–retest reliability coefficient was 0.83. A correlation coefficient of .48 was determined between the adjustment ability scale and the Mental Adjustment to Cancer scale (Japanese version), which assesses psychological adaptations via the cognitive‐behavioural responses of patients with cancer. The correlation coefficient between the scale and the Functional Assessment of Cancer Therapy‐General (Japanese version 4), which measures quality of life among patients with cancer, was 0.15.

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The Influence of Uncertainty in Illness, Stress Appraisal, and Hope on Coping in Survivors of Breast Cancer

Cited by 100 publications

References 30 publications

The Herth Hope Index (HHI) and related factors in the Japanese general urban population

The Herth Hope Index (HHI) and related factors in the Japanese general urban population

Predictors of psychosocial adjustment during the post-radiation treatment transition

Development of an adjustment ability scale for outpatients with cancer: Verification of its reliability and validity

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