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Trajectories of middle-aged and elderly people’s chronic diseases Disability Adjusted Life Years (DALYs): cohort, socio-economic status and gender disparities

Overview of attention for article published in International Journal for Equity in Health, August 2021
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
Trajectories of middle-aged and elderly people’s chronic diseases Disability Adjusted Life Years (DALYs): cohort, socio-economic status and gender disparities
Published in
International Journal for Equity in Health, August 2021
DOI 10.1186/s12939-021-01517-z
Pubmed ID
Authors

Gangming Zhang, Fang Tang, Jing Liang, Peigang Wang

Abstract

The accelerated aging trend brought great chronic diseases burdens. Disabled Adjusted Life Years (DALYs) is a novel way to measure the chronic diseases burden. This study aimed to explore the cohort, socioeconomic status (SES), and gender disparities of the DALYs trajectories. A total of 15,062 participants (55,740 observations) comes from China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018. Mixed growth curve model was adopted to predict the DALYS trajectories in 45-90 years old people influenced by different birth cohorts and SES. We find significant cohort, SES (resident place, education level and income) disparities differences in the chronic diseases DALYs. For individuals of earlier cohort, DALYs are developed in a late age but grow fast with age but reversed for most recent cohorts. Living in urban, having higher SES level will decrease the growth rate with age, but converges for most recent cohorts. Meanwhile, DALYs disparities of resident place and education level show gender differentials that those for female are narrowed across cohort but for male are not. The cohort effects on chronic diseases DALYs are accumulated with China's unique social, and political settings. There are large inequalities in early experiences, SES and DALYs. Efforts of reducing these inequalities must focus on the lower SES individuals and those living in rural areas, which greatly benefit individuals from recent cohorts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 13%
Student > Bachelor 2 9%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 2 9%
Lecturer 1 4%
Other 4 17%
Unknown 9 39%
Readers by discipline Count As %
Nursing and Health Professions 3 13%
Economics, Econometrics and Finance 3 13%
Social Sciences 2 9%
Agricultural and Biological Sciences 1 4%
Mathematics 1 4%
Other 2 9%
Unknown 11 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 August 2021.
All research outputs
#4,681,914
of 23,310,485 outputs
Outputs from International Journal for Equity in Health
#846
of 1,949 outputs
Outputs of similar age
#104,696
of 432,227 outputs
Outputs of similar age from International Journal for Equity in Health
#30
of 66 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,949 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 56% 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 432,227 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 75% of its contemporaries.
We're also able to compare this research output to 66 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.