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Development of the health literacy on social determinants of health questionnaire in Japanese adults

Overview of attention for article published in BMC Public Health, January 2017
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Title
Development of the health literacy on social determinants of health questionnaire in Japanese adults
Published in
BMC Public Health, January 2017
DOI 10.1186/s12889-016-3971-3
Pubmed ID
Authors

Masayoshi Matsumoto, Kazuhiro Nakayama

Abstract

Health inequities are increasing worldwide, with mounting evidence showing that the greatest cause of which are social determinants of health. To reduce inequities, a lot of citizens need to be able to access, understand, appraise, and apply information on the social determinants; that is, they need to improve health literacy on social determinants of health. However, only a limited number of scales focus on these considerations; hence, we developed the Health Literacy on Social Determinants of Health Questionnaire (HL-SDHQ) and examined its psychometric properties. We extracted domains of the social determinants of health from "the solid facts" and related articles, operationalizing the following ten domains: "the social gradient," "early life," "social exclusion," "work," "unemployment," "social support," "social capital," "addiction," "food," and "transport," Next, we developed the scale items in the ten extracted domains based on the literature and included four aspects of health literacy (ability to access, understand, appraise, and apply social determinants of health-related information) in the items. We also evaluated the ease of response and content validity. The self-administered questionnaire consisted of 33 items. The reliability and construct validity were verified among 831 Japanese adults in an internet survey. The scale items had high reliability with a Cronbach's alpha of 0.92, and also adequate results were obtained for the internal consistency of the information-processing dimensions (Cronbach's alpha values were 0.82, 0.91, 0.84, and 0.92 for accessing, understanding, appraising, and applying, respectively). The goodness of fit by confirmatory factor analysis based on the four dimensions was an acceptable value (comparative fit index = 0.901; root mean square error of approximation = 0.058). Furthermore, the bivariate relationship between HL-SDHQ and the frequency of participation in citizen's activities was similar to the theoretical results. HL-SDHQ clarifies the relationship between the ten domains of the social determinants of health and health in each domain and is able to measure whether it is possible to access, understand, appraise, and apply related information. The reliability and validity of the scale were adequate.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 159 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 15%
Student > Bachelor 21 13%
Student > Ph. D. Student 17 11%
Researcher 14 9%
Student > Postgraduate 8 5%
Other 30 19%
Unknown 45 28%
Readers by discipline Count As %
Nursing and Health Professions 35 22%
Medicine and Dentistry 32 20%
Social Sciences 17 11%
Psychology 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 19 12%
Unknown 49 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 January 2023.
All research outputs
#7,616,848
of 23,221,875 outputs
Outputs from BMC Public Health
#8,063
of 15,160 outputs
Outputs of similar age
#141,980
of 421,760 outputs
Outputs of similar age from BMC Public Health
#119
of 220 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,160 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 421,760 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 53% of its contemporaries.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.