Passive Commuting and Dietary Intake in Fourth and Fifth Grade Students

Madsen, Kristine A.; Cotterman, Carolyn; Thompson, Hannah; Rissman, Yedida; Rosen, Nila J.; Ritchie, Lorrene D.

doi:10.1016/j.amepre.2014.09.033

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…This survey data was classified into Korean administrative-district units called ‘Si-Gun-Gu’. The age- and sex-adjusted disease (hypertension, diabetes mellitus and stroke) prevalences classified into three, tertile-based categories—low, medium, and high prevalence—were used as the ‘target variables’ [ 19 – 22 ].…”

Section: Methodsmentioning

confidence: 99%

Geographical variations and influential factors in prevalence of cardiometabolic diseases in South Korea

Yoon

Noh

et al. 2018

PLoS ONE

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Geographical variations and influential factors of disease prevalence are crucial information enabling optimal allocation of limited medical resources and prioritization of appropriate treatments for each regional unit. The purpose of this study was to explore the geographical variations and influential factors of cardiometabolic disease prevalence with respect to 230 administrative districts in South Korea. Global Moran’s I was calculated to determine whether the standardized prevalences of cardiometabolic diseases (hypertension, stroke, and diabetes mellitus) were spatially clustered. The CART algorithm was then applied to generate decision tree models that could extract the diseases’ regional influential factors from among 101 demographic, economic, and public health data variables. Finally, the accuracies of the resulting model–hypertension (67.4%), stroke (62.2%), and diabetes mellitus (56.5%)–were assessed by ten-fold cross-validation. Marriage rate was the main determinant of geographic variation in hypertension and stroke prevalence, which has the possibility that married life could have positive effects in lowering disease risks. Additionally, stress-related variables were extracted as factors positively associated with hypertension and stroke. In the opposite way, the wealth status of a region was found to have an influence on the prevalences of stroke and diabetes mellitus. This study suggested a framework for provision of novel insights into the regional characteristics of diseases and the corresponding influential factors. The results of the study are anticipated to provide valuable information for public health practitioners’ cost-effective disease management and to facilitate primary intervention and mitigation efforts in response to regional disease outbreaks.

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Section: Methodsmentioning

confidence: 99%

Geographical variations and influential factors in prevalence of cardiometabolic diseases in South Korea

Yoon

Noh

et al. 2018

PLoS ONE

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“…( Kim et al, 2014a;Kim et al, 2014c;Kim and Kang, 2015;Seok and Kang, 2013a (Madsen et al, 2015;Suzumori et al, 2014;Wang et al, 2012;.…”

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confidence: 99%

Spatial Autocorrelation of Disease Prevalence in South Korea Using 2012 Community Health Survey Data

Nguyen

Kim

et al. 2016

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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As a basic research to investigate geographical variations of diseases, this study analyzes and compares spatial patterns of 24 different diseases in South Korea using prevalence rate data provided by Community Health Survey in 2012. Descriptive statistical analysis, global Moran's I computation, and disease mapping were conducted to examine spatial associations and patterns of each disease. After the unique spatial patterns and distinctive spatial associations of each disease were observed, we concluded that 12 diseases displayed statistically significant spatial autocorrelation while the other 12 showed no spatial associations. This study suggests that diseases are caused by different risk factors and possess different etiological mechanisms. Furthermore, the study may lay foundation for future studies of geographical variations of disease prevalence in South Korea. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…21 A recent observational study using self-report measures found that children who ride home from school in private automobiles eat more snacks and candy than those who walk. 22 As that study did not use GPS tracking to delineate and characterize the food environment through which children travelled, important questions remain about the role of exposure. The objective of this study is to explore the nature of the relationship between junk food purchasing (JFP) and the level of exposure to junk food outlets (JFOs).…”

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confidence: 99%

Using GPS and activity tracking to reveal the influence of adolescents’ food environment exposure on junk food purchasing

Sadler

Clark

Wilk

et al. 2016

Can J Public Health

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OBJECTIVES: This study examines the influence of adolescents' exposure to unhealthy food outlets on junk food purchasing during trips between home and school, with particular attention to how exposure and purchasing differ according to child's biological sex, mode of transportation, and direction to or from school. METHODS:Between 2010 and 2013, students (n = 654) aged 9-13 years from 25 schools in London and Middlesex County, ON, completed a socio-demographic survey and an activity diary (to identify food purchases), and were observed via a global positioning system for 2 weeks (to track routes for trips to/from school). Spatial data on routes and purchase data were integrated with a validated food outlet database in a geographic information system, and exposure was measured as the minutes a child spent within 50 m of an unhealthy food outlet (i.e., fast food restaurants, variety stores). For trips involving junk food exposure (n = 4588), multilevel logistic regression was used to assess the relationship between exposure and purchasing.RESULTS: Multilevel analyses indicated that adolescents' duration of exposure to unhealthy food outlets between home and school had a significant effect on the likelihood of junk food purchasing. This relationship remained significant when the data were stratified by sex (female/male), trip direction (to/from school) and travel mode (active/car), with the exception of adolescents who travelled by bus.CONCLUSION: Policies and programs that mitigate the concentration of unhealthy food outlets close to schools are critical for encouraging healthy eating behaviours among children and reducing diet-related health issues such as obesity.KEY WORDS: Built environment; food environment; GPS; food purchase; diet; child; adolescent La traduction du résumé se trouve à la fin de l'article.

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Passive Commuting and Dietary Intake in Fourth and Fifth Grade Students

Cited by 5 publications

References 33 publications

Geographical variations and influential factors in prevalence of cardiometabolic diseases in South Korea

Geographical variations and influential factors in prevalence of cardiometabolic diseases in South Korea

Spatial Autocorrelation of Disease Prevalence in South Korea Using 2012 Community Health Survey Data

Using GPS and activity tracking to reveal the influence of adolescents’ food environment exposure on junk food purchasing

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