Trajectories of body mass index and waist circumference in four Peruvian settings at different level of urbanisation: the CRONICAS Cohort Study. Issue 5 (22nd February 2018)

• Record Type: Journal Article
• Authors: Carrillo-Larco, Rodrigo M; Miranda, J Jaime; Gilman, Robert H; Checkley, William; Smeeth, Liam; Bernabé-Ortiz, Antonio
• Other Names: author non-byline.; Bernabé-ortiz Antonio author non-byline.; Casas Juan P author non-byline.; Smith George davey author non-byline.; Ebrahim Shah author non-byline.; García Héctor H author non-byline.; Huicho Luis author non-byline.; Málaga Germán author non-byline.; Montori Víctor M author non-byline.; Diette Gregory B author non-byline.; León-velarde Fabiola author non-byline.; Rivera María author non-byline.; Wise Robert A author non-byline.; Sacksteder Katherine author non-byline.
• Is Part Of: Journal of epidemiology and community health. Volume 72:Issue 5(2018)
• Page Start: 397
• Page End: 403
• Publication Date: 2018-02-22
• Subjects: cardiovascular disease -- cohort studies -- epidemiology -- epidemiology of cardiovascular disease -- obesity; Public health -- Periodicals; Epidemiology -- Periodicals; 614.4
• DOI: 10.1136/jech-2017-209795
• Languages: English
• ISSNs: 0143-005X

Abstract

Abstract : 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/middle-income 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 population-averaged 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.