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Geospatial Food Environment Exposure and Obesity Among Low Income Baltimore City Children: Associations Differ by Data Source and Processing Method.巴尔的摩市低收入儿童的地理空间食物环境暴露与肥胖：关联因数据来源和处理方法而异。
J Hunger Environ Nutr. 2024;19(5):694-717. doi: 10.1080/19320248.2022.2090882. Epub 2022 Jul 13.
2
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J Acad Nutr Diet. 2021 Mar;121(3):419-434.e9. doi: 10.1016/j.jand.2020.10.016. Epub 2020 Dec 10.
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Acad Pediatr. 2020 Aug;20(6):784-792. doi: 10.1016/j.acap.2019.11.013. Epub 2019 Nov 26.
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Public Health Nutr. 2011 Sep;14(9):1632-9. doi: 10.1017/S1368980011000498. Epub 2011 Mar 31.
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Access to SNAP-Authorized Retailers and Diet Quality Among SNAP Recipients.补充营养援助计划（SNAP）受助者获取授权零售商的情况与饮食质量
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Supplemental Nutrition Assistance Program (SNAP)-Authorized Grocery, Convenience, Dollar, and Restaurant or Delivery Service Settings Are Associated With Increased Obesity Prevalence in Virginia.补充营养援助计划（SNAP）授权的杂货店、便利店、一元店和餐馆或送餐服务场所与弗吉尼亚州肥胖患病率的增加有关。
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A closer examination of the relationship between children's weight status and the food and physical activity environment.更深入地研究儿童体重状况与食物和身体活动环境之间的关系。
Prev Med. 2013 Sep;57(3):162-7. doi: 10.1016/j.ypmed.2013.05.009. Epub 2013 May 30.
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Neighborhood Food Access in Early Life and Trajectories of Child Body Mass Index and Obesity.儿童早期生活的邻里食品可及性与儿童体重指数和肥胖轨迹。
JAMA Pediatr. 2024 Nov 1;178(11):1172-1182. doi: 10.1001/jamapediatrics.2024.3459.

本文引用的文献

1
Systematic review of the use of Google Street View in health research: Major themes, strengths, weaknesses and possibilities for future research.系统综述谷歌街景在健康研究中的应用：主要主题、优势、劣势和未来研究的可能性。
Health Place. 2018 Jul;52:240-246. doi: 10.1016/j.healthplace.2018.07.001. Epub 2018 Jul 14.
2
Differences in Obesity Prevalence by Demographics and Urbanization in US Children and Adolescents, 2013-2016.美国儿童和青少年 2013-2016 年按人口统计学和城市化程度划分的肥胖流行率差异。
JAMA. 2018 Jun 19;319(23):2410-2418. doi: 10.1001/jama.2018.5158.
3
Prevalence of Obesity Among Adults and Youth: United States, 2015-2016.2015 - 2016年美国成年人及青少年肥胖症患病率
NCHS Data Brief. 2017 Oct(288):1-8.
4
Baseline Assessment of a Healthy Corner Store Initiative: Associations between Food Store Environments, Shopping Patterns, Customer Purchases, and Dietary Intake in Eastern North Carolina.健康街角商店倡议的基线评估：北卡罗来纳州东部食品店环境、购物模式、顾客购买行为与饮食摄入之间的关联
Int J Environ Res Public Health. 2017 Oct 7;14(10):1189. doi: 10.3390/ijerph14101189.
5
Comparing the accuracy of food outlet datasets in an urban environment.比较城市环境中食品销售点数据集的准确性。
Geospat Health. 2017 May 11;12(1):546. doi: 10.4081/gh.2017.546.
6
The Association between Food Security and Store-Specific and Overall Food Shopping Behaviors.食品安全与特定商店和总体食品购物行为之间的关系。
J Acad Nutr Diet. 2017 Dec;117(12):1931-1940. doi: 10.1016/j.jand.2017.02.007. Epub 2017 Mar 30.
7
Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data.量化食物环境：对商业可用业务数据有效性的系统评价与荟萃分析
PLoS One. 2017 Mar 30;12(3):e0174417. doi: 10.1371/journal.pone.0174417. eCollection 2017.
8
Using Geographic Information Systems to measure retail food environments: Discussion of methodological considerations and a proposed reporting checklist (Geo-FERN).利用地理信息系统测量零售食品环境：方法学考量探讨及拟议的报告清单（地理食品环境零售网络）
Health Place. 2017 Mar;44:110-117. doi: 10.1016/j.healthplace.2017.01.008. Epub 2017 Feb 23.
9
Measures of the food environment: A systematic review of the field, 2007-2015.食物环境的衡量指标：2007 - 2015年该领域的系统综述
Health Place. 2017 Mar;44:18-34. doi: 10.1016/j.healthplace.2016.12.007. Epub 2017 Jan 27.
10
Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps.公共卫生领域中衡量社区环境的新兴技术：对干预措施及后续步骤的启示
Int J Health Geogr. 2016 Jun 23;15(1):20. doi: 10.1186/s12942-016-0050-z.

巴尔的摩市低收入儿童的地理空间食物环境暴露与肥胖：关联因数据来源和处理方法而异。

Geospatial Food Environment Exposure and Obesity Among Low Income Baltimore City Children: Associations Differ by Data Source and Processing Method.

作者信息

Kharmats Anna Y, Corrigan Anne E, Curriero Frank C, Neff Roni, Caulfield Laura, Kennedy Caitlin E, Whitley Jessica, Montazer Jaleh S, Hu Lu, Gittelsohn Joel

机构信息

New York University Grossman School of Medicine, Department of Population Health, Baltimore, MD.

Johns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, MD.

出版信息

J Hunger Environ Nutr. 2024;19(5):694-717. doi: 10.1080/19320248.2022.2090882. Epub 2022 Jul 13.

DOI:10.1080/19320248.2022.2090882
PMID:39600470
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11588286/
Abstract

Due to the high prevalence of childhood obesity, it is imperative to assess the relationship children's access to food retailers and obesity. However, the influence of methodological decisions on these associations has been understudied. We examined relationships between different measures of geospatial food environment (using 4 data sources, and 2 data processing methods), and BMI in a sample of low-income children in Baltimore, Maryland. The choice of data sources and data processing methods produced large differences in estimates of children's exposures to certain store types, such as supermarket-like stores, but had less impact on associations with BMI z-scores.

摘要

由于儿童肥胖症的高流行率，评估儿童接触食品零售商与肥胖之间的关系势在必行。然而，方法学决策对这些关联的影响尚未得到充分研究。我们在马里兰州巴尔的摩市的低收入儿童样本中，研究了地理空间食品环境的不同测量方法（使用4种数据来源和2种数据处理方法）与体重指数（BMI）之间的关系。数据来源和数据处理方法的选择在儿童接触某些商店类型（如类似超市的商店）的估计值上产生了很大差异，但对与BMI z评分的关联影响较小。