2020
DOI: 10.1155/2020/1946723
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Explaining the Inverse Association between Altitude and Obesity

Abstract: Purpose. To better understand the inverse association between altitude and adult obesity. Methods. An ecological study design was used, involving 3,108 counties in the contiguous United States. Data were from several national sources, and assessment involved various statistical techniques, including multiple regression analysis. Results. Living in counties at higher altitude is associated with lower adult obesity. Compared with counties <500 meters, the percent of adult obesity decreases by 5.18% at 500–999… Show more

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Cited by 15 publications
(11 citation statements)
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“…Similarly, residents of high-altitude settings in the Kyrgyz Republic had a lower prevalence of obesity, DM, cardiovascular risk factors and smoking, compared with low altitude residents [ 35 , 42 ]. Nevertheless, the lower prevalence of self-reported DM at high altitude cannot be solely attributed to a lower prevalence of obesity [ 38 , 43 ]. This premise is supported by a reported trend for lower odds of having DM among lean subjects living at high altitude compared with lean subjects living below 500 m [ 38 ].…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, residents of high-altitude settings in the Kyrgyz Republic had a lower prevalence of obesity, DM, cardiovascular risk factors and smoking, compared with low altitude residents [ 35 , 42 ]. Nevertheless, the lower prevalence of self-reported DM at high altitude cannot be solely attributed to a lower prevalence of obesity [ 38 , 43 ]. This premise is supported by a reported trend for lower odds of having DM among lean subjects living at high altitude compared with lean subjects living below 500 m [ 38 ].…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, these indicators have previously been reported to decrease with increasing altitude ( 7 , 8 , 20 ). In addition, inverse association between obesity and altitude has previously been reported ( 21 ). Although the association between BMI, WHR, obesity, and HA was not significant in this study, these indicators showed a negative correlation trend with altitude.…”
Section: Discussionmentioning
confidence: 81%
“…The results of our study compare anthropometric differences in a genotype-controlled indigenous adult population living at low (230 m) and high altitudes (3,800 m). When analyzing the data, we observe that in general, women from high altitudes are slightly lighter and slightly taller than women from the lowlands (Merrill, 2020); nevertheless, men from high altitudes are significantly shorter and lighter than men from low altitudes. Our findings are similar to those reported in Bolivia by Leatherman et al (1984).…”
Section: Discussionmentioning
confidence: 82%