5 :: KDA, Korean Diabetes Association ::
string(8) "resource"
Subject    :    [2018 Aug;42(4)] Air Pollution Has a Significant Negative Impact on Intentional Efforts to Lose Weight: A Global Scale Analysis
Writer KDA
Date 2019-03-06 09:54:43 Hit 321
   
Diabetes Metab J. 2018 Aug;42(4):320-329. English.
Published online Apr 24, 2018.  https://doi.org/10.4093/dmj.2017.0104 
Copyright © 2018 Korean Diabetes Association
   
Air Pollution Has a Significant Negative Impact on Intentional Efforts to Lose Weight: A Global Scale Analysis
Morena Ustulin,1 So Young Park,2 Sang Ouk Chin,2 Suk Chon,2 Jeong-taek Woo,2 and Sang Youl Rhee2
1Department of Medicine, Graduate School of Medicine, Kyung Hee University, Seoul, Korea.
2Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.

Corresponding author: Sang Youl Rhee. Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea. Email: rheesy@khu.ac.kr 
 
Received December 20, 2017; Accepted March 07, 2018.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.



Abstract

Background

Air pollution causes many diseases and deaths. It is important to see how air pollution affects obesity, which is common worldwide. Therefore, we analyzed data from a smartphone application for intentional weight loss, and then we validated them.

Methods

Our analysis was structured in two parts. We analyzed data from a cohort registered to a smartphone application in 10 large cities of the world and matched it with the annual pollution values. We validated these results using daily pollution data in United States and matching them with user information. Body mass index (BMI) variation between final and initial login time was considered as outcome in the first part, and daily BMI in the validation. We analyzed: daily calories intake, daily weight, daily physical activity, geographical coordinates, seasons, age, gender. Weather Underground application programming interface provided daily climatic values. Annual and daily values of particulate matter PM10 and PM2.5 were extracted. In the first part of the analysis, we used 2,608 users and then 995 users located in United States.

Results

Air pollution was highest in Seoul and lowest in Detroit. Users decreased BMI by 2.14 kg/m2 in average (95% confidence interval, −2.26 to −2.04). From a multilevel model, PM10 (β=0.04, P=0.002) and PM2.5 (β=0.08, P<0.001) had a significant negative effect on weight loss when collected per year. The results were confirmed with the validation (βAQI*time=1.5×10–5P<0.001) by mixed effects model.

Conclusion

This is the first study that shows how air pollution affects intentional weight loss applied on wider area of the world.

   
Keywords:
Air pollutionMobile applicationsObesitySmartphoneWeight loss
 

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