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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
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
99 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 10%
Student > Ph. D. Student 8 8%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Researcher 5 5%
Other 17 17%
Unknown 45 45%
Readers by discipline Count As %
Nursing and Health Professions 13 13%
Medicine and Dentistry 11 11%
Agricultural and Biological Sciences 4 4%
Psychology 4 4%
Business, Management and Accounting 3 3%
Other 14 14%
Unknown 50 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 01 December 2021.
All research outputs
#2,940,585
of 23,917,011 outputs
Outputs from Health and Quality of Life Outcomes
#219
of 2,216 outputs
Outputs of similar age
#61,037
of 332,106 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#15
of 62 outputs
Altmetric has tracked 23,917,011 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,216 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 89% 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 332,106 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 81% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.