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Quality of life correlation with socioeconomic status in Korean hepatitis-B patients: a cross sectional study

Overview of attention for article published in Health and Quality of Life Outcomes, May 2015
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Title
Quality of life correlation with socioeconomic status in Korean hepatitis-B patients: a cross sectional study
Published in
Health and Quality of Life Outcomes, May 2015
DOI 10.1186/s12955-015-0251-3
Pubmed ID
Authors

Seung Ju Kim, Kyu-Tae Han, Seo Yoon Lee, Eun-Cheol Park

Abstract

In Korea, more than two-thirds of hepatocellular carcinoma patients are hepatitis B virus (HBV) surface antigen-seropositive. The effects of HBV infection on health-related quality of life (HRQoL) are important aspects in the overall management of HBV infection. However, other effects of other parameters on HBV patient HRQoL remain unknown and require clarification. Our study evaluated HRQoL in hepatitis-B patients, according to socioeconomic status. We used community health survey data to analyze the relationship between HRQoL of HBV(+) patients according to socioeconomic status. We used propensity score matching (Ratio = 1:5) to balancing the patients and general population. Final analytic sample consisted of 7098 hepatitis B patients and compared group (35,490 general populations). We examined the HRQoL in HBV(+) patients (n = 7098), stratified by socioeconomic status, compared with general populations, using the EuroQOL visual analog scale (EQ-VAS) and EQ-5D questionnaires. We used the Chi-square test and ANOVA to compare demographic variables. Multiple linear regression analysis identified associations between demographic variables and HRQoL. Participants with hepatitis B numbered 7098 (16.7 %) of the study population. HRQoL was lower in hepatitis-B patients compared to the general population (EQ-VAS: -0.985, p = 0.0004; EQ-5D: -0.673, p = 0.0003). According to occupation type, clerks (EQ-VAS: -2.628, p = 0.0030; EQ-5D: -0.802, p = 0.0099) and managers and professionals (EQ-VAS: -1.518, p = 0.0356) had the lowest HRQoLs. Higher family income and education level groups had lower HRQoLs compared to the general population. Patients from higher socioeconomic status groups had HRQoLs that were more affected by hepatitis B. Thus, we require more accurate information about the disease to develop appropriate patient management guidelines. This will facilitate formulating policies and management strategies that alleviate HRQoL declines in HBV(+) patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Other 4 9%
Researcher 4 9%
Student > Ph. D. Student 3 7%
Student > Postgraduate 2 4%
Other 7 15%
Unknown 18 39%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Nursing and Health Professions 5 11%
Agricultural and Biological Sciences 5 11%
Psychology 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 4%
Unknown 22 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 May 2015.
All research outputs
#15,331,767
of 22,803,211 outputs
Outputs from Health and Quality of Life Outcomes
#1,305
of 2,159 outputs
Outputs of similar age
#156,513
of 264,485 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#17
of 41 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 32nd percentile – i.e., 32% 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 264,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 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 51% of its contemporaries.