↓ Skip to main content

Assessment of the Chinese Resident Health Literacy Scale in a population-based sample in South China

Overview of attention for article published in BMC Public Health, July 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
74 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Assessment of the Chinese Resident Health Literacy Scale in a population-based sample in South China
Published in
BMC Public Health, July 2015
DOI 10.1186/s12889-015-1958-0
Pubmed ID
Authors

Minxue Shen, Ming Hu, Siyun Liu, Yan Chang, Zhenqiu Sun

Abstract

A national health literacy scale was developed in China in 2012, though no studies have validated it. In this investigation, we assessed the reliability, construct validity, and measurement invariance of that scale. A population-based sample of 3731 participants in Hunan Province was used to validate the Chinese Resident Health Literacy Scale based on item response theory and classical test theory (including split-half coefficient, Cronbach's alpha, and confirmatory factor analysis). Measurement invariance was examined by differential item functioning. The overall Cronbach's alpha of the scale was 0.95 and Spearman-Brown coefficient 0.94. Confirmatory factor analysis showed that the test measured a unidimensional construct with three highly correlated factors. Highest discrimination was found among participants with limited to moderate health literacy. In all, 64 items were selected from the original scale based on factor loading, Pearson's correlation coefficient, and discrimination and difficulty parameters in item response theory. Measurement invariance was significant but slight. According to the two-level linear model, health literacy was associated with education level, occupation, and income. The 2012 national health literacy scale was validated, and 64 items were selected based on classical test theory and item response theory. The revised version of the scale has strong psychometric properties with minor measurement invariance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 19%
Student > Ph. D. Student 10 14%
Student > Postgraduate 7 9%
Student > Doctoral Student 6 8%
Lecturer > Senior Lecturer 5 7%
Other 16 22%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 17 23%
Social Sciences 9 12%
Nursing and Health Professions 8 11%
Psychology 6 8%
Computer Science 2 3%
Other 14 19%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 February 2016.
All research outputs
#6,737,844
of 22,816,807 outputs
Outputs from BMC Public Health
#7,025
of 14,865 outputs
Outputs of similar age
#77,915
of 262,931 outputs
Outputs of similar age from BMC Public Health
#125
of 266 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 14,865 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 52% 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 262,931 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 266 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.