Obesity risk in rural, urban and rural-to-urban migrants: prospective results of the PERU MIGRANT study

被引:51
|
作者
Carrillo-Larco, R. M. [1 ]
Bernabe-Ortiz, A. [1 ]
Pillay, T. D. [2 ]
Gilman, R. H. [1 ,3 ]
Sanchez, J. F. [4 ]
Poterico, J. A. [1 ,5 ]
Quispe, R. [1 ]
Smeeth, L. [6 ]
Miranda, J. J. [1 ,7 ]
机构
[1] Univ Peruana Cayetano Heredia, CRONICAS Ctr Excellence Chron Dis, Lima 18, Peru
[2] UCL, Sch Med, London W1N 8AA, England
[3] Johns Hopkins Univ, Dept Int Hlth, Bloomberg Sch Publ Hlth, Baltimore, MD USA
[4] US Naval Med Res Unit NAMRU 6, Lima, Peru
[5] Minist Hlth, Primary Healthcare Ctr Santa Cruz de Ratacocha, Huanuco, Peru
[6] London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, London WC1, England
[7] Univ Peruana Cayetano Heredia, Sch Med, Dept Med, Lima 18, Peru
基金
美国国家卫生研究院; 英国惠康基金;
关键词
BODY-MASS INDEX; MIDDLE-INCOME COUNTRIES; POPULATION-BASED COHORT; CARDIOVASCULAR-DISEASE; MIGRATION; URBANIZATION; TRANSITION; OVERWEIGHT; EDUCATION;
D O I
10.1038/ijo.2015.140
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND: Although migration and urbanization have been linked with higher obesity rates, especially in low-resource settings, prospective information about the magnitude of these effects is lacking. We estimated the risk of obesity and central obesity among rural subjects, rural-to-urban migrants and urban subjects. METHODS: Prospective data from the PERU MIGRANT Study were analyzed. Baseline data were collected in 2007-2008 and participants re-contacted in 2012-2013. At follow-up, outcomes were obesity and central obesity measured by body mass index and waist circumference. At baseline, the primary exposure was demographic group: rural, rural-to-urban migrant and urban. Other exposures included an assets index and educational attainment. Cumulative incidence, incidence ratio (IR) and 95% confidence intervals (95% CI) for obesity and central obesity were estimated with Poisson regression models. RESULTS: At baseline, mean age (+/- s.d.) was 47.9 (+/- 12.0) years, and 53.0% were females. Rural subjects comprised 20.2% of the total sample, whereas 59.7% were rural-to-urban migrants and 20.1% were urban dwellers. A total of 3598 and 2174 person-years were analyzed for obesity and central obesity outcomes, respectively. At baseline, the prevalence of obesity and central obesity was 20.0 and 52.5%. In multivariable models, migrant and urban groups had an 8-to 9.5-fold higher IR of obesity compared with the rural group (IR migrants = 8.19, 95% CI = 2.72-24.67; IR urban = 9.51, 95% CI = 2.74-33.01). For central obesity, there was a higher IR only among the migrant group (IR = 1.95; 95% CI = 1.22-3.13). Assets index was associated with a higher IR of central obesity (IR top versus bottom tertile 1.45, 95% CI = 1.03-2.06). CONCLUSIONS: Peruvian urban individuals and rural-to-urban migrants show a higher incidence of obesity compared with their rural counterparts. Given the ongoing urbanization occurring in middle-income countries, the rapid development of increased obesity risk by rural-to-urban migrants suggests that measures to reduce obesity should be a priority for this group.
引用
收藏
页码:181 / 185
页数:5
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