A short form of the Recovery Assessment Scale‐Domains and Stages: Development and validation among adults with anxiety disorders

Silva, Kaylah Teresa De; Cockshaw, Wendell; Rehm, Imogen C.; Hancock, Nicola

doi:10.1002/cpp.2563

Cited by 4 publications

(2 citation statements)

References 58 publications

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“…To determine which items to retain on the brief version of the SHS questionnaire, we used the results of the exploratory factor analysis (EFA) in the Development and Evaluation of a Questionnaire for Measuring Suboptimal Health Status in Urban Chinese [22,30,31].…”

Section: Development Of Short-form Suboptimal Health Status Questionn...mentioning

confidence: 99%

Development and Validation of a Short Form of Suboptimal Health Status Questionnaire

Sun

Hou

2023

Preprint

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Background Suboptimal health status (SHS) is a reversible borderline condition between optimal health and diseases. Although the definition of SHS is widely understood, the questionnaires of SHS are needed to be further developed, by which individual with SHS can be identified from a variety of population in the context of predictive, preventive and personalized medicine (PPPM/3PM). This study aimed to develop a short form of suboptimal health status questionnaire (SHSQ-SF) by reference to suboptimal health status questionnaire-25 (SHSQ-25). Methods A total of 6,183 participants enrolled from southern China were included in a training set, while 4,113 from northern China were included in an external validation set. SHSQ-SF included nine key items from SHSQ-25, a questionnaire that has been applied in Caucasians, Asians, and Africans. Item analysis, reliability and validity tests were carried out to validate SHSQ-SF. Receiver operating characteristic (ROC) curve was used to identify the optimal cutoff value for diagnosis of SHS. Results In the training dataset, the Cronbach s α coefficient was 0.902, and the split-half reliability was 0.863. The Kaiser-Meyer-Olkin (KMO) statistic was 0.880, and the Bartlett s test of sphericity was significant (χ2 = 32,929.680, P<0.05). Both Kaiser s criteria (eigenvalues >1) and scree plot revealed one factor which explained 57.008% of the total variance. Standardized factor loadings of confirmatory factor analysis (CFA) indices were between 0.59 to 0.74, with χ2/df = 4.972, (GFI) = 0.996, CFI = 0.996, RFI = 0.989 and RMSEA = 0.031. The area under ROC curve (AUC) was 0.985 (95%CI: 0.983 - 0.988) in training dataset, by which the cutoff value (χ11) was identified for diagnosis of SHS. In the external validation dataset, this questionnaire showed good discriminatory power (AUC = 0.975, 95%CI: 0.971-0.979), with a sensitivity of 96.2% and specificity of 87.4%. Conclusions We developed a short form of SHS questionnaire, which has good reliability and validity in measurement of SHS in Chinese residents. From the perspective of PPPM/3PM, SHSQ-SF is recommended to be used for quickly screening individuals with SHS from a large-scale population. Keywords Predictive preventive and personalized medicine (PPPM/3PM); Suboptimal health status (SHS); Questionnaire; Reliability; Validity

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Section: Development Of Short-form Suboptimal Health Status Questionn...mentioning

confidence: 99%

Development and Validation of a Short Form of Suboptimal Health Status Questionnaire

Sun

Hou

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…We referred to the results of exploratory factor analysis (EFA) in the Development and Evaluation of a Questionnaire for Measuring Suboptimal Health Status in Urban Chinese [22,30,31] to determine which items to retain on the brief version of the SHSQ-25.…”

Section: Development Of Shsq-sfmentioning

confidence: 99%

Development and Validation of a Short-Form Suboptimal Health Status Questionnaire

Sun

Liu

Guo

et al. 2023

Preprint

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Background Suboptimal health status (SHS) is a reversible, borderline state between optimal health and disease. Although this condition’s definition is widely understood, related questionnaires must be developed to identify individuals with SHS in various populations relative to predictive, preventive, and personalized medicine (PPPM/3PM). This study presents a short-form suboptimal health status questionnaire (the SHSQ-SF) that appears to possess sufficient reliability and validity to assess SHS in large-scale populations. Methods A total of 6,183 participants enrolled from southern China constituted a training set, while 4,113 participants from northern China constituted an external validation set. The SHSQ-SF includes nine key items from the Suboptimal Health Status Questionnaire-25 (SHSQ-25), an instrument that has been applied in Caucasians, Asians, and Africans. Item analysis and reliability and validity tests were carried out to validate the SHSQ-SF. The receiver operating characteristic (ROC) curve was used to identify an optimal cutoff value for SHS diagnosis. Results The Cronbach’s α coefficient for the training dataset was 0.902; the split-half reliability was 0.863. The Kaiser–Meyer–Olkin (KMO) value was 0.880, and Bartlett’s test of sphericity was significant (χ2 = 32,929.680, p < 0.05). Both Kaiser’s criteria (eigenvalues > 1) and the scree plot revealed one factor explaining 57.008% of the total variance. Standardized factor loadings for the confirmatory factor analysis (CFA) indices ranged between 0.59 and 0.74, with χ2/dƒ = 4.972, GFI = 0.996, CFI = 0.996, RFI = 0.989, and RMSEA = 0.031. The area under the ROC curve (AUC) was equal to 0.985 (95% CI: 0.983–0.988) for the training dataset. A cutoff value (≥ 11) was then identified for SHS diagnosis. The SHSQ-SF showed good discriminatory power for the external validation dataset (AUC = 0.975, 95% CI: 0.971–0.979) with a sensitivity of 96.2% and a specificity of 87.4%. Conclusions We developed a short form of the SHS questionnaire that demonstrated sound reliability and validity when assessing SHS in Chinese residents. From a PPPM/3PM perspective, the SHSQ-SF is recommended for rapid screening of individuals with SHS in large-scale populations.

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Development and validation of a short-form suboptimal health status questionnaire

Sun,

Liu,

Guo

et al. 2023

EPMA Journal

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A short form of the Recovery Assessment Scale‐Domains and Stages: Development and validation among adults with anxiety disorders

Cited by 4 publications

References 58 publications

Development and Validation of a Short Form of Suboptimal Health Status Questionnaire

Development and Validation of a Short Form of Suboptimal Health Status Questionnaire

Development and Validation of a Short-Form Suboptimal Health Status Questionnaire

Development and validation of a short-form suboptimal health status questionnaire

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