Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
Figures
Figure 1
Schematic diagram of contribution of change in mean body mass index (BMI) to change in total prevalence of underweight or obesity.
(A) Change in the prevalence of underweight and obesity if the distribution shifts, represented by a change in its mean and its shape. In this example, the change (shown as the difference between blue and gray) results in a small decrease of underweight and a large increase in obesity. (B) Change in the prevalence of underweight and obesity when only mean BMI changes (shown as the difference between orange and gray), without a change in the shape of the distribution.
Figure 2
Number of data sources with participants aged 20-79 years.
Figure 3
Change in mean body mass index (BMI) from 1985 to 2016 by region, sex, and age group.
Figure 4
Change in prevalence of underweight, obesity, and severe obesity from 1985 to 2016 by region, sex, and age group.
Figure 5
Contribution of change in mean body mass index (BMI) to total change from 1985 to 2016 in prevalence of underweight, obesity, or severe obesity by region, sex, and age group.
Blue arrows show the total change in prevalence of underweight, obesity, or severe obesity. Orange arrows show the contribution of change in mean BMI to the change in prevalence. The difference between these two arrows is shown with a line, whose colour follows the shorter arrow.
Author response image 1
Standard deviation of BMI from 1985 to 2019 by sex and age group.
Each point shows one age-sex group in one study. The size of each point is proportional to its sample size. Colour for each point indicates the region it is from.
Author response image 2
Skewness of BMI from 1985 to 2019 by sex and age group.
Each point shows one age-sex group in one study. The size of each point is proportional to its sample size. Colour for each point indicates the region it is from.
Author response image 3
Distributions of BMI in NCD-RisC studies for 50-59-year old by sex and region.
Each curve is a single study and the colour indicates its year from 1985 to 2019.
Author response image 4
Comparison of mean and median BMI by sex and age group.
Each point represents a sex-age group in a study conducted between 1985 and 2019.
Additional files
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Supplementary file 1
Coefficients of the regression of probit-transformed prevalence of underweight, obesity, and severe obesity in women on mean body mass index.
- https://cdn.elifesciences.org/articles/60060/elife-60060-supp1-v2.docx
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Supplementary file 2
Coefficients of the regression of probit-transformed prevalence of underweight, obesity, and severe obesity in men on mean body mass index.
- https://cdn.elifesciences.org/articles/60060/elife-60060-supp2-v2.docx
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Supplementary file 3
List of analysis regions and countries in each region.
- https://cdn.elifesciences.org/articles/60060/elife-60060-supp3-v2.docx
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Supplementary file 4
List of data sources used in the analysis and their characteristics.
- https://cdn.elifesciences.org/articles/60060/elife-60060-supp4-v2.docx
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Supplementary file 5
Mean body mass index estimates (kg/m2) in 1985 and 2016 stratified by region, gender, and age group.
- https://cdn.elifesciences.org/articles/60060/elife-60060-supp5-v2.docx
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Source data 1
Data from studies in the Non-Communicable Disease Risk Factor Collaboration database conducted from 1985 to 2019 with participants aged 20–79 years old.
- https://cdn.elifesciences.org/articles/60060/elife-60060-data1-v2.xlsx
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Source code 1
Liner regression model used for the analysis of the association of prevalence of underweight, total obesity, and severe obesity with mean body mass index.
- https://cdn.elifesciences.org/articles/60060/elife-60060-code1-v2.zip
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Transparent reporting form
- https://cdn.elifesciences.org/articles/60060/elife-60060-transrepform-v2.pdf
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Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
eLife 10:e60060.
https://doi.org/10.7554/eLife.60060
