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Social capital and healthy ageing in Indonesia

Overview of attention for article published in BMC Public Health, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 blog
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4 X users

Citations

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45 Dimensions

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245 Mendeley
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Title
Social capital and healthy ageing in Indonesia
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3257-9
Pubmed ID
Authors

Junran Cao, Anu Rammohan

Abstract

A large international literature has found a positive association between social capital and measures of physical and mental health. However, there is a paucity of research on the links between social capital and healthy ageing in a developing country environment, where universal social security coverage is absent and health infrastructure is poor. In this paper, we develop and empirically test a model of the linkages between social capital and the health outcomes for older adults in Indonesia, using data from the Indonesian Family Life Survey-East (IFLS-East), conducted in 2012. Using multivariate regression analysis, we examine whether social capital plays a role in mitigating poor health among older individuals aged 50 years and above in Indonesia's most vulnerable provinces. We test the robustness of these social capital variables across different health measures (self-assessed health, Activities of Daily Living (ADL), measures of chronic illness and mental health measures), as well as across different demographic groups, after controlling for an array of socio-economic, demographic and geographic characteristics. Our findings show that access to better social capital (using measures of neighbourhood trust and community participation) is associated with a higher degree of physical mobility, independence, and mental well-being among older individuals but has no influence on chronic illnesses. These results are consistent when we estimate samples disaggregated by gender, rural/urban residence, and by age categories. From a policy perspective these results point to the importance of social capital measures in moderating the influence of poor health, particularly in the Activities of Daily Living.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 244 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 16%
Student > Bachelor 27 11%
Researcher 24 10%
Student > Ph. D. Student 19 8%
Lecturer 17 7%
Other 40 16%
Unknown 78 32%
Readers by discipline Count As %
Nursing and Health Professions 35 14%
Medicine and Dentistry 35 14%
Social Sciences 32 13%
Economics, Econometrics and Finance 16 7%
Psychology 14 6%
Other 30 12%
Unknown 83 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 November 2020.
All research outputs
#2,828,037
of 22,881,154 outputs
Outputs from BMC Public Health
#3,248
of 14,922 outputs
Outputs of similar age
#53,607
of 364,027 outputs
Outputs of similar age from BMC Public Health
#95
of 356 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,922 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 done well, scoring higher than 78% 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 364,027 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 85% of its contemporaries.
We're also able to compare this research output to 356 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 73% of its contemporaries.