Validation of the English and Mandarin versions of the Fear of Cancer Recurrence Inventory in an Asian population

Liu, Jianlin; Mahendran, Rathi; Chua, Shi Min; Lam, Kwok-Yan; Lim, Haikel A.; Kuparasundram, Sangita; Chan, Yiong Huak; Simard, Sebastian; Kua, Ee Heok; Griva, Konstadina

doi:10.1177/1359105317727819

Cited by 10 publications

(22 citation statements)

References 29 publications

(67 reference statements)

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“…Relevant to FCR analysis, the finding that the FCRI is best represented as a 7‐factor first‐order model is inconsistent with recent empirical findings that support a 7‐factor second‐order model . Possible explanations for these inconsistencies may stem from differences in sample composition and size.…”

Section: Discussionmentioning

confidence: 61%

“…Possible explanations for these inconsistencies may stem from differences in sample composition and size. However, a more plausible explanation is that the current study set out to examine various dimensional models of the FCRI whereas the former studies seem only to have examined a second‐order model. In this way, the current study adds new insights into the dimensionality of the FCRI that have not previously been explored.…”

Section: Discussionmentioning

confidence: 97%

“…The second model was identical to the first; however, each of the 7 FCRI subscales were treated as first‐order factors that loaded onto a single, second‐order factor of overall FCR …”

Section: Methodsmentioning

confidence: 99%

“…The FCRI was developed in and for use in mixed‐cancer samples for which its reliability and validity have been supported in French, English, and Mandarin . The FCRI is comprised of 42 items on 7 subscales (Triggers, Severity, Psychological Distress, Coping Strategies, Functioning Impairments, Insight, and Reassurance).…”

Section: Introductionmentioning

confidence: 99%

“…These features characterize CFA as the ideal method for evaluating the construct validity of psychometric measures, and to our knowledge, no known studies have used CFA to examine various models of FCR. More specifically, the aim of this study was to test and compare 3 proposed models of FCR: model A, a multidimensional model corresponding to the original 7‐factor structure FCRI, which measures FCR as containing 7 distinct concepts; model B, a multidimensional model containing 7 distinct factors and an overall factor, corresponding to the conceptualization of FCR as containing separate but strongly related concepts that can be combined into a single measure. This model is equivalent to model A; however, all first‐order factors are loaded onto a single, second‐order FCR factor.…”

Section: Introductionmentioning

confidence: 99%

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Examining the dimensionality of the Fear of Cancer Recurrence Inventory

et al. 2018

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Objective: Fear of cancer recurrence (FCR) is a common concern among cancer survivors, and the Fear of Cancer Recurrence Inventory (FCRI) is a frequently used measure to assess FCR. Given that the dimensionality of FCR has received recent debate, the overall goal of this secondary analysis was to re-examine the dimensionality of the FCRI using confirmatory factor analyses (CFA) to compare models of FCR, using data from a large sample of cancer survivors.Methods: Three models of FCR (including unidimensional and multidimensional models of the FCRI) were informed by the literature and proposed a priori. SeparateCFAs were conducted to test the fit of each model to the data, and models with acceptable fits were compared.Results: Of all the tested FCR models, a multidimensional first-order model aligned with the originally developed 7-subscale FCRI revealed the best fit to the data (χ 2 = 3359.135, P < .0001, df = 795, RMSEA = 0.057 [0.055, 0.059], CFI = 0.897, TLI = 0.888). When this 7-factor structure was loaded onto a single, second-order factor of overall FCR, the model fit statistics were slightly poorer (χ 2 = 3459.632, P < .0001, df = 807, RMSEA = 0.058 [0.056, 0.060], CFI = 0.893, TLI = 0.886). However, the difference between the models was significant (chi-square difference = 103.142, P < .0001, df = 12) indicating that the first-order model was a better fit to the data.Conclusions: These results align with empirical and theoretical literature that supports the use of the FCRI as a multidimensional scale. Implications of results are discussed in light of FCR conceptualization and measurement.

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Section: Discussionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 97%

“…The second model was identical to the first; however, each of the 7 FCRI subscales were treated as first‐order factors that loaded onto a single, second‐order factor of overall FCR …”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Examining the dimensionality of the Fear of Cancer Recurrence Inventory

et al. 2018

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What is the prevalence of fear of cancer recurrence in cancer survivors and patients? A systematic review and individual participant data meta‐analysis

et al. 2022

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Objective Care for fear of cancer recurrence (FCR) is considered the most common unmet need among cancer survivors. Yet the prevalence of FCR and predisposing factors remain inconclusive. To support targeted care, we provide a comprehensive overview of the prevalence and severity of FCR among cancer survivors and patients, as measured using the short form of the validated Fear of Cancer Recurrence Inventory (FCRI‐SF). We also report on associations between FCR and clinical and demographic characteristics. Methods This is a systematic review and individual participant data (IPD) meta‐analysis on the prevalence of FCR. In the review, we included all studies that used the FCRI‐SF with adult (≥18 years) cancer survivors and patients. Date of search: 7 February 2020. Risk of bias was assessed using the Joanna Briggs Institute critical appraisal tool. Results IPD were requested from 87 unique studies and provided for 46 studies comprising 11,226 participants from 13 countries. 9311 respondents were included for the main analyses. On the FCRI‐SF (range 0–36), 58.8% of respondents scored ≥13, 45.1% scored ≥16 and 19.2% scored ≥22. FCR decreased with age and women reported more FCR than men. FCR was found across cancer types and continents and for all time periods since cancer diagnosis. Conclusions FCR affects a considerable number of cancer survivors and patients. It is therefore important that healthcare providers discuss this issue with their patients and provide treatment when needed. Further research is needed to investigate how best to prevent and treat FCR and to identify other factors associated with FCR. The protocol was prospectively registered (PROSPERO CRD42020142185).

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The effects of physical symptoms, self‐efficacy and social constraints on fear of cancer recurrence in breast cancer survivors: Examining the mediating role of illness representations

Lyu,

Chiew‐Jiat,

Cheng

2023

Psycho-Oncology

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ObjectiveFear of cancer recurrence (FCR) is common in breast cancer survivors (BCS). This study examined the mediating role of illness representations in the relationships between FCR and physical symptoms, social constraint and self‐care self‐efficacy.MethodsIn this cross‐sectional study, 385 women with breast cancer completed a series of questionnaires including the FCR Inventory, Social Constraints Scale‐15, Cancer Survivors Self‐Efficacy Scale, Illness Perception Questionnaire‐Revised and European Organization for Research and Treatment Quality of Life Questionnaire‐Breast Cancer. Structural equation modelling method was conduct by using a bootstrapping method.ResultsPhysical symptoms (β = 0.272, p < 0.01), social constraints (β = 0.130, p < 0.01), self‐efficacy (β = −0.233, p < 0.01) and illness representation (β = 0.261, p < 0.01) have direct effects on FCR. The indirect effects of physical symptoms (β = 0.10, p < 0.01), social constraints (β = 0.076, p < 0.01) and self‐efficacy (β = −0.025, p < 0.05) on FCR were partially mediated by illness representations.ConclusionsIn this study, the effects of physical symptoms, social constraints and self‐efficacy on FCR were found to be mediated by illness representation. Reducing the impact of negative illness representations on FCR by reducing physical symptoms, increasing self‐efficacy, and promoting open disclosure of cancer‐related concerns may be effective in reducing FCR in BCS.

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Validation of the English and Mandarin versions of the Fear of Cancer Recurrence Inventory in an Asian population

Cited by 10 publications

References 29 publications

Examining the dimensionality of the Fear of Cancer Recurrence Inventory

Examining the dimensionality of the Fear of Cancer Recurrence Inventory

What is the prevalence of fear of cancer recurrence in cancer survivors and patients? A systematic review and individual participant data meta‐analysis

The effects of physical symptoms, self‐efficacy and social constraints on fear of cancer recurrence in breast cancer survivors: Examining the mediating role of illness representations

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