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Early-Life Intelligence Predicts Midlife Biological Age

Overview of attention for article published in Journals of Gerontology Series B: Psychological Sciences & Social Sciences, May 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets
twitter
63 X users
facebook
2 Facebook pages
googleplus
1 Google+ user
reddit
2 Redditors

Readers on

mendeley
120 Mendeley
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Article details
Title
Early-Life Intelligence Predicts Midlife Biological Age
Published in
Journals of Gerontology Series B: Psychological Sciences & Social Sciences, May 2015
DOI 10.1093/geronb/gbv035
Pubmed ID
Authors
Abstract

Early-life intelligence has been shown to predict multiple causes of death in populations around the world. This finding suggests that intelligence might influence mortality through its effects on a general process of physiological deterioration (i.e., individual variation in "biological age"). We examined whether intelligence could predict measures of aging at midlife before the onset of most age-related disease. We tested whether intelligence assessed in early childhood, middle childhood, and midlife predicted midlife biological age in members of the Dunedin Study, a population-representative birth cohort. Lower intelligence predicted more advanced biological age at midlife as captured by perceived facial age, a 10-biomarker algorithm based on data from the National Health and Nutrition Examination Survey (NHANES), and Framingham heart age (r = 0.1-0.2). Correlations between intelligence and telomere length were less consistent. The associations between intelligence and biological age were not explained by differences in childhood health or parental socioeconomic status, and intelligence remained a significant predictor of biological age even when intelligence was assessed before Study members began their formal schooling. These results suggest that accelerated aging may serve as one of the factors linking low early-life intelligence to increased rates of morbidity and mortality.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 63 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 120 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 %
Russia 1 <1%
United Kingdom 1 <1%
Unknown 118 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 18 15%
Researcher 16 13%
Student > Master 15 13%
Student > Ph. D. Student 13 11%
Other 7 6%
Other 18 15%
Unknown 33 28%
Readers by discipline
Readers by discipline Count As %
Psychology 36 30%
Medicine and Dentistry 12 10%
Agricultural and Biological Sciences 11 9%
Neuroscience 5 4%
Nursing and Health Professions 4 3%
Other 13 11%
Unknown 39 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 26 November 2023.
All research outputs
#801,769
of 34,360,257 outputs
Outputs from Journals of Gerontology Series B: Psychological Sciences & Social Sciences
#191
of 2,676 outputs
Outputs of similar age
#7,436
of 306,970 outputs
Outputs of similar age from Journals of Gerontology Series B: Psychological Sciences & Social Sciences
#1
of 9 outputs
Altmetric has tracked 34,360,257 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.5. This one has done particularly well, scoring higher than 92% 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 306,970 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 97% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them