TY - JOUR
T1 - Trajectories of body mass index and waist circumference in four Peruvian settings at different level of urbanisation
T2 - The CRONICAS Cohort Study
AU - Carrillo-Larco, Rodrigo M.
AU - Miranda, J. Jaime
AU - Gilman, Robert H.
AU - Checkley, William
AU - Smeeth, Liam
AU - Bernabé-Ortiz, Antonio
N1 - Funding Information:
Funding This project has been funded in whole with federal funds from the US National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, under contract number HHSN268200900033C. WC was further supported by a Pathway to Independence Award (R00HL096955) from the National Heart, Lung and Blood Institute. RMCL has received support as a research trainee from the Inter-American Institute for Global Change Research (IAI CRN3036). LS is a Senior Clinical Fellow and ABO is a Research Training Fellow in Public Health and Tropical Medicine (103994/Z/14/Z), both funded by the Wellcome Trust.
Funding Information:
This project has been funded in whole with federal funds from the US National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, under contract number HHSN268200900033C. WC was further supported by a Pathway to Independence Award (R00HL096955) from the National Heart, Lung and Blood Institute. RMCL has received support as a research trainee from the Inter-American Institute for Global Change Research (IAI CRN3036). LS is a Senior Clinical Fellow and ABO is a Research Training Fellow in Public Health and Tropical Medicine (103994/Z/14/Z), both funded by the Wellcome Trust.
Publisher Copyright:
© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Background Studies have reported the incidence/ risk of becoming obese, but few have described the trajectories of body mass index (BMI) and waist circumference (WC) over time, especially in low/middleincome countries. We assessed the trajectories of BMI and WC according to sex in four sites in Peru. Methods Data from the population-based CRONICAS Cohort Study were analysed. We fitted a populationaveraged model by using generalised estimating equations. The outcomes of interest, with three data points over time, were BMI and WC. The exposure variable was the factorial interaction between time and study site. Results At baseline mean age was 55.7 years (SD: 12.7) and 51.6% were women. Mean follow-up time was 2.5 years (SD: 0.4). Over time and across sites, BMI and WC increased linearly. The less urbanised sites showed a faster increase than more urbanised sites, and this was also observed after sex stratification. Overall, the fastest increase was found for WC compared with BMI. Compared with Lima, the fastest increase in WC was in rural Puno (coefficient=0.73, P<0.001), followed by urban Puno (coefficient=0.59, P=0.001) and Tumbes (coefficient=0.22, P=0.088). Conclusions There was a linear increase in BMI and WC across study sites, with the greatest increase in less urbanised areas. The ongoing urbanisation process, common to Peru and other low/middle-income countries, is accompanied by different trajectories of increasing obesity-related markers.
AB - Background Studies have reported the incidence/ risk of becoming obese, but few have described the trajectories of body mass index (BMI) and waist circumference (WC) over time, especially in low/middleincome countries. We assessed the trajectories of BMI and WC according to sex in four sites in Peru. Methods Data from the population-based CRONICAS Cohort Study were analysed. We fitted a populationaveraged model by using generalised estimating equations. The outcomes of interest, with three data points over time, were BMI and WC. The exposure variable was the factorial interaction between time and study site. Results At baseline mean age was 55.7 years (SD: 12.7) and 51.6% were women. Mean follow-up time was 2.5 years (SD: 0.4). Over time and across sites, BMI and WC increased linearly. The less urbanised sites showed a faster increase than more urbanised sites, and this was also observed after sex stratification. Overall, the fastest increase was found for WC compared with BMI. Compared with Lima, the fastest increase in WC was in rural Puno (coefficient=0.73, P<0.001), followed by urban Puno (coefficient=0.59, P=0.001) and Tumbes (coefficient=0.22, P=0.088). Conclusions There was a linear increase in BMI and WC across study sites, with the greatest increase in less urbanised areas. The ongoing urbanisation process, common to Peru and other low/middle-income countries, is accompanied by different trajectories of increasing obesity-related markers.
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U2 - 10.1136/jech-2017-209795
DO - 10.1136/jech-2017-209795
M3 - Article
C2 - 29472520
AN - SCOPUS:85061201502
SN - 0143-005X
VL - 72
SP - 397
EP - 403
JO - Journal of epidemiology and community health
JF - Journal of epidemiology and community health
IS - 5
ER -