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Evaluating the reliability and validity of SF-8 with a large representative sample of urban Chinese

Overview of attention for article published in Health and Quality of Life Outcomes, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
facebook
1 Facebook page
reddit
1 Redditor

Citations

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32 Dimensions

Readers on

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94 Mendeley
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Title
Evaluating the reliability and validity of SF-8 with a large representative sample of urban Chinese
Published in
Health and Quality of Life Outcomes, April 2018
DOI 10.1186/s12955-018-0880-4
Pubmed ID
Authors

Lihua Lang, Liancheng Zhang, Ping Zhang, Qian Li, Jiang Bian, Yi Guo

Abstract

The Short Form-8 (SF-8) is a widely used instrument for measuring health-related quality of life (HRQOL). The purpose of the current study is to evaluate the reliability and validity of the Chinese version SF-8 using a large, representative sample of city residents in mainland China. We surveyed residents of 35 major cities in China using random digit dialing of both landlines and cell phones. We adopted a multi-stage stratified sampling scheme and selected a probability sample of 10,885 adults. Internal consistency reliability of the SF-8 was evaluated with item-total correlations and Cronbach's alphas. Construct validity was assessed with factor analysis. Known-groups validity was examined based on known HRQOL differences in age, gender, income, and overall quality of life. We showed that SF-8 has very good internal consistency reliability and known-groups validity. Our results also confirmed that the traditional 2-factor structure of SF-8 (physical and mental health) is reasonable among Chinese city residents. Further, we showed that a 3-factor model (physical, mental, and overall health) fit the data better than the traditional 2-factor model. This study is the first to confirm the traditional 2-factor structure of SF-8 using a large, representative sample from China. We have shown that the SF-8 Chinese version is feasible, reliable, and valid. Our findings support the use of the SF-8 summary scores for assessing general HRQOL among Chinese. Future studies may further explore the possibility of a 3-factor structure for the SF-8 among the Chinese population.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 12%
Student > Ph. D. Student 9 10%
Student > Bachelor 8 9%
Student > Doctoral Student 6 6%
Researcher 5 5%
Other 15 16%
Unknown 40 43%
Readers by discipline Count As %
Nursing and Health Professions 13 14%
Medicine and Dentistry 12 13%
Agricultural and Biological Sciences 4 4%
Psychology 4 4%
Business, Management and Accounting 3 3%
Other 12 13%
Unknown 46 49%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 April 2018.
All research outputs
#2,490,438
of 15,442,255 outputs
Outputs from Health and Quality of Life Outcomes
#235
of 1,660 outputs
Outputs of similar age
#64,846
of 279,480 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#1
of 1 outputs
Altmetric has tracked 15,442,255 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,660 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 279,480 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them