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Sex differences in relationships between metabolic syndrome components and factors associated with health-related quality of life in middle-aged adults living in the community: a cross-sectional…

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)

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1 blog
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1 X user
facebook
1 Facebook page
reddit
1 Redditor

Citations

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11 Dimensions

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55 Mendeley
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Title
Sex differences in relationships between metabolic syndrome components and factors associated with health-related quality of life in middle-aged adults living in the community: a cross-sectional study in Taiwan
Published in
Health and Quality of Life Outcomes, April 2018
DOI 10.1186/s12955-018-0910-2
Pubmed ID
Authors

Cheng-Chieh Liu, Hsiao-Ting Chang, Shu-Chiung Chiang, Harn-Shen Chen, Ming-Hwai Lin, Tzeng-Ji Chen, Shinn-Jang Hwang

Abstract

Metabolic syndrome (MetS) is a widespread condition with important effects on public health, in general. There is a lack of relevant research on possible sex differences in the relationship between MetS and health-related quality of life (HRQoL) and also the sex differences in factors associated with HRQoL. The aims of this study were to identify: 1) whether women exhibit greater negative impacts on physical domain HRQoL from MetS compared with men; 2) whether women exhibit greater mental domain impacts compared with men; and 3) whether factors associated with HRQoL scores are different for men and women. This cross-sectional study was conducted in Taipei, Taiwan. Using random sampling, a total of 906 participants aged 35-55 years were recruited. MetS was defined according to the MetS criteria for the Taiwanese population, and HRQoL were assessed using physical component summary (PCS) and mental component summary (MCS) scores of the Short Form Health Survey (SF-36), Taiwan version. Demographics, physical activity, medical history, and blood tests as covariates were recorded and checked. The associations were assessed by multiple linear regression. After adjusting for covariates, women but not men with more components of MetS had significantly lower PCS scores (β = - 0.542, p = 0.036). The number of components of MetS was not a significant factor in MCS score differences between the sexes. Furthermore, there were sex differences regarding age, education level, physical activity, and smoking status in association with PCS scores. For MCS scores, sex differences were found in education level, marital status, and habits of smoking and alcohol consumption. There were sex differences in the relationships between metabolic syndrome components and factors associated with HRQoL among middle-aged adults living in the community in Taiwan. Further research should be conducted to investigate mechanisms of these sex differences.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 9%
Researcher 4 7%
Student > Ph. D. Student 4 7%
Other 3 5%
Student > Bachelor 2 4%
Other 4 7%
Unknown 33 60%
Readers by discipline Count As %
Nursing and Health Professions 5 9%
Psychology 4 7%
Sports and Recreations 3 5%
Agricultural and Biological Sciences 2 4%
Medicine and Dentistry 2 4%
Other 5 9%
Unknown 34 62%
Attention Score in Context

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 27 April 2018.
All research outputs
#3,971,268
of 23,045,021 outputs
Outputs from Health and Quality of Life Outcomes
#397
of 2,188 outputs
Outputs of similar age
#77,427
of 326,468 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#35
of 73 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 326,468 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 73 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.