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Age, period and cohort effects on body mass index in New Zealand, 1997–2038

Overview of attention for article published in Australian and New Zealand Journal of Public Health, July 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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7 news outlets
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14 X users

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33 Mendeley
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Article details
Title
Age, period and cohort effects on body mass index in New Zealand, 1997–2038
Published in
Australian and New Zealand Journal of Public Health, July 2018
DOI 10.1111/1753-6405.12804
Pubmed ID
Authors
Abstract

To estimate the effects of age, period and birth cohort on observed trends, and to provide short- to medium-term projections of population BMI in New Zealand. Data were obtained from New Zealand national health surveys covering the period 1997 to 2015 (n=76,294 individuals). A Hierarchical Age-Period-Cohort (HAPC) model and an Age-Period model with interaction terms were specified for population groups defined by ethnicity and sex. Observed trends were extrapolated to estimate group-specific BMI projections for the period 2015-2038; these were weighted by projected population sizes to calculate population-wide BMI projections. Population mean BMI increased from 26.4 kg/m2 (95%CI 26.2-26.5) in 1997 to 28.3 kg/m2 (95%CI 28.2-28.5) in 2015. Both models identified substantial, approximately linear, period trends behind this increase, with no significant cohort effects. Mean BMI was projected to reach 30.6 kg/m2 (95%CI 29.4-31.7; HAPC model) to 30.8 kg/m2 (95%CI 30.2-31.4; Age-Period model) by 2038. BMI continues to increase in New Zealand. On current trends, population mean BMI will exceed 30 kg/m2 - the clinical cut-off for obesity - by the early 2030s. Implications for public health: Unless prevented by comprehensive public health policy changes, increasing population obesity is likely to result in unfavourable economic and health impacts.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 33 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 33 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 4 12%
Student > Master 4 12%
Student > Ph. D. Student 3 9%
Researcher 3 9%
Other 1 3%
Other 3 9%
Unknown 15 45%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 5 15%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 20 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 12 April 2020.
All research outputs
#862,106
of 32,761,728 outputs
Outputs from Australian and New Zealand Journal of Public Health
#150
of 2,209 outputs
Outputs of similar age
#14,372
of 362,628 outputs
Outputs of similar age from Australian and New Zealand Journal of Public Health
#4
of 21 outputs
Altmetric has tracked 32,761,728 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 2,209 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has done particularly well, scoring higher than 93% 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 362,628 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 96% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.