The Reliability and Validity of Short Form-12 Health Survey  Version 2 for Chinese Older Adults

Su, Sheng; Wang, Dong

doi:10.18502/ijph.v48i6.2898

Cited by 14 publications

(13 citation statements)

References 19 publications

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“…In studies conducted elsewhere, the factor structure of the Mandarin and Malay versions corroborated the present results. For example, a CFA conducted by Su and Wang [ 44 ] on a Mandarin version of the SF-12v2 with 1000 older adults in China, was similar to the final model in the present study. Another study utilizing a similar model, using the Malay version of the SF-12v2 in a sample of 108 post-partum mothers in Malaysia found an acceptable fit.…”

Section: Discussionsupporting

confidence: 65%

Confirmatory factor analysis and measurement invariance of the English, Mandarin, and Malay versions of the SF-12v2 within a representative sample of the multi-ethnic Singapore population

Lau

Abdin

Vaingankar

et al. 2021

Health Qual Life Outcomes

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Background The Short Form Health Survey (SF-12v2) is an increasingly popular measure of health-related quality of life (HRQoL) in Singapore. In order to examine whether the SF-12v2 was appropriate for use in the population, the factor structure and validity of the English, Mandarin, and Malay versions were assessed in a representative sample of the general population of Singapore. Methods 6126 respondents were recruited for the Singapore Mental Health Study 2016 (SMHS 2016), a cross-sectional and population-based survey. Confirmatory factor analyses (CFA) were conducted to examine the fit of a two-factor model for the SF-12v2 within a representative sample and amongst the different language (English, Mandarin, Malay) subgroups. Multiple-group CFAs (MGCFA) were conducted to test measurement invariance across the different languages, ethnicities, and chronic illnesses subgroups. CFA-generated latent factor scores (FSCORE command in MPlus) were also compared with the composite scores derived from the developer’s scoring method via correlations. Sociodemographic correlates of the latent physical and mental health scores were explored. Results CFA results within the full sample supported a two-factor model (RMSEA = 0.044; CFI = 0.991; TLI = 0.988; SRMR = 0.044) in which physical functioning, role physical, bodily pain and general health items loaded onto a latent physical health factor, while role emotional, mental health, social functioning, and vitality items loaded onto a latent mental health factor. Physical and mental health factors were allowed to correlate, unlike the developer’s orthogonal scoring method. All standardized loadings were high and statistically significant. Both factors had high internal consistency. CFA within subsamples of English, Mandarin, and Malay languages indicated similar findings. MGCFA results indicate that measurement invariance held across the different languages, ethnicities, and those with and without chronic illnesses. Conclusion The present study identified a two-factor (physical and mental health) structure within the general population and amongst the three different languages and demonstrated the measurement invariance of SF-12v2 across different subgroups. Findings indicate that algorithm-derived PCS and MCS should be interpreted with caution as they may result in inaccurate conclusions regarding the relationships between HRQoL and its correlates. Future studies using the SF-12v2 within the general population of Singapore should consider utilizing the factor structure put forth in the present study to obtain more appropriate estimates of HRQoL.

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Section: Discussionsupporting

confidence: 65%

Confirmatory factor analysis and measurement invariance of the English, Mandarin, and Malay versions of the SF-12v2 within a representative sample of the multi-ethnic Singapore population

Lau

Abdin

Vaingankar

et al. 2021

Health Qual Life Outcomes

View full text Add to dashboard Cite

show abstract

“…Examination of convergent and discriminant validity included evaluation of spearman’s correlation coefficient [ 54 ]. In general, great convergent and discriminant validity is characterized by the correlation coefficient between each dimension value and the total value higher than that between each dimension; the correlation coefficient between each dimension and the scale’s total score > 0.40 [ 55 ]. For EFA, we used the Kaiser-Meyer-Olkin (KMO) test and Bartlett’s test of sphericity to measure the adequacy of samples when determining whether KMO value is between 0.5 and 1 [ 56 ].…”

Section: Methodsmentioning

confidence: 99%

Reliability and validity of Healthy Fitness Measurement Scale Version1.0 (HFMS V1.0) in Chinese elderly people

Liu

Zhou²,

Qiu

et al. 2021

BMC Public Health

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Purpose We examined the reliability and validity of the Healthy Fitness Measurement Scale Version 1.0 (HFMS V1.0) specifically on elderly people in China. Methods We carried out a cross-sectional study in December 2020 and enrolled 800 elderly people through stratified sampling technique, including 777 valid samples (with a mean age of 71.81 ± 8.36 years), of which 382 cases (49.2%) were women. The level of healthy fitness was measured using the HFMS V1.0. The Cronbach’s alpha coefficient, split-half reliability, test-retest reliability, convergent and discriminant validity, exploratory factor and confirmatory factor were calculated for assessing the reliability and validity of HFMS V1.0. Results HFMS V1.0 consists of 8 dimensions and 38 items. The scale had acceptable reliability (Cronbach’s alpha = 0.920, split-half = 0.946, test-retest = 0.878). Exploratory factor analysis showed KMO value =0.927, and uncovered 10 factors with the cumulative contribution rate of 65.71% and all factor loads over 0.40. The item distribution was consistent with the initial expectation of the scale. The confirmatory factor analysis indicated good fit: CMIN/DF = 2.796, RMSEA = 0.048, IFI =0.914, TLI = 0.902, CFI = 0.913. Conclusion HFMS V1.0 was shown to have acceptable reliability and validity indices for this sample. Collectively, HFMS V1.0 is reliable and efficient to measure the healthy fitness of elderly people. It is recommended to use it among the elderly in other Chinese cities in the future to ensure uniformity and objectivity. This scale can be carried out to evaluate of the effectiveness of public health measures in improving the healthy fitness level of the elderly and optimizing public health policies.

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“…The reported minimal clinically important difference is 5 points for both components. [ 22 ] The SF-12 has shown to be reliable and valid in older adults [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

Evaluating the Functional and Psychological Outcomes Following Periprosthetic Femoral Fracture After Total Hip Arthroplasty

et al. 2022

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The Reliability and Validity of Short Form-12 Health Survey Version 2 for Chinese Older Adults

Cited by 14 publications

References 19 publications

Confirmatory factor analysis and measurement invariance of the English, Mandarin, and Malay versions of the SF-12v2 within a representative sample of the multi-ethnic Singapore population

Confirmatory factor analysis and measurement invariance of the English, Mandarin, and Malay versions of the SF-12v2 within a representative sample of the multi-ethnic Singapore population

Reliability and validity of Healthy Fitness Measurement Scale Version1.0 (HFMS V1.0) in Chinese elderly people

Evaluating the Functional and Psychological Outcomes Following Periprosthetic Femoral Fracture After Total Hip Arthroplasty

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