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Structural Determinants and Children’s Oral Health: A Cross-National Study

Overview of attention for article published in Journal of Dental Research, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

policy
1 policy source
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44 X users
facebook
3 Facebook pages

Readers on

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195 Mendeley
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Article details
Title
Structural Determinants and Children’s Oral Health: A Cross-National Study
Published in
Journal of Dental Research, April 2018
DOI 10.1177/0022034518767401
Pubmed ID
Authors
Abstract

Much research on children's oral health has focused on proximal determinants at the expense of distal (upstream) factors. Yet, such upstream factors-the so-called structural determinants of health-play a crucial role. Children's lives, and in turn their health, are shaped by politics, economic forces, and social and public policies. The aim of this study was to examine the relationship between children's clinical (number of decayed, missing, and filled teeth) and self-reported oral health (oral health-related quality of life) and 4 key structural determinants (governance, macroeconomic policy, public policy, and social policy) as outlined in the World Health Organization's Commission for Social Determinants of Health framework. Secondary data analyses were carried out using subnational epidemiological samples of 8- to 15-y-olds in 11 countries ( N = 6,648): Australia (372), New Zealand (three samples; 352, 202, 429), Brunei (423), Cambodia (423), Hong Kong (542), Malaysia (439), Thailand (261, 506), United Kingdom (88, 374), Germany (1498), Mexico (335), and Brazil (404). The results indicated that the type of political regime, amount of governance (e.g., rule of law, accountability), gross domestic product per capita, employment ratio, income inequality, type of welfare regime, human development index, government expenditure on health, and out-of-pocket (private) health expenditure by citizens were all associated with children's oral health. The structural determinants accounted for between 5% and 21% of the variance in children's oral health quality-of-life scores. These findings bring attention to the upstream or structural determinants as an understudied area but one that could reap huge rewards for public health dentistry research and the oral health inequalities policy agenda.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 44 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 195 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 34 17%
Student > Bachelor 15 8%
Student > Ph. D. Student 13 7%
Researcher 12 6%
Professor 8 4%
Other 37 19%
Unknown 76 39%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 60 31%
Social Sciences 13 7%
Nursing and Health Professions 12 6%
Economics, Econometrics and Finance 6 3%
Business, Management and Accounting 4 2%
Other 17 9%
Unknown 83 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 15 March 2024.
All research outputs
#1,473,025
of 32,160,675 outputs
Outputs from Journal of Dental Research
#214
of 4,213 outputs
Outputs of similar age
#25,431
of 359,163 outputs
Outputs of similar age from Journal of Dental Research
#4
of 42 outputs
Altmetric has tracked 32,160,675 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,213 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 94% 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 359,163 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.