↓ Skip to main content

Adolescent Growth Spurt and Type 2 Diabetes Risk in Southwestern American Indians

Overview of attention for article published in American Journal of Epidemiology, April 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Adolescent Growth Spurt and Type 2 Diabetes Risk in Southwestern American Indians
Published in
American Journal of Epidemiology, April 2023
DOI 10.1093/aje/kwad100
Pubmed ID
Authors
Abstract

Early puberty onset is associated with higher risk of diabetes, but most studies have not accounted for childhood factors that may confound the association. Using data from a study conducted in an Indigenous community in Arizona (1965-2007) we examined associations of timing and velocity of the adolescent growth spurt with type 2 diabetes, and whether these associations are mediated by childhood BMI and insulinemia. Adolescent growth parameters were derived from the Preece-Baines growth model, a parametric growth curve fitted to longitudinal height data, in 861 participants with height measurements spanning the whole period of growth. In males, older age at take-off, age at peak velocity and age at maturation were associated with decreased prevalence of diabetes (odds ratio [OR]=0.43 per year, 95% CI 0.27-0.69; OR=0.50, 95% CI 0.35-0.72; OR=0.58, 95% CI, 0.41-0.83, respectively), while higher velocity at take-off was associated with increased risk (OR=3.47 per cm/yr, 95% CI 1.87-6.42) adjusting for age, birth year and maternal diabetes. Similar results were observed with incident diabetes. Our findings suggest that an early and accelerated adolescent growth spurt is a risk factor for diabetes, at least in males. These associations are only partially explained by measures of adiposity and insulinemia.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Unspecified 3 19%
Student > Bachelor 3 19%
Student > Master 1 6%
Librarian 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 7 44%
Readers by discipline
Readers by discipline Count As %
Unspecified 3 19%
Nursing and Health Professions 3 19%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Unknown 8 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 April 2023.
All research outputs
#20,970,146
of 25,756,531 outputs
Outputs from American Journal of Epidemiology
#8,524
of 9,018 outputs
Outputs of similar age
#310,046
of 416,086 outputs
Outputs of similar age from American Journal of Epidemiology
#54
of 61 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 416,086 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.