{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["21(1)"],"submitter":["Zhou RZ"],"pubmed_abstract":["<h4>Background</h4>Obesity is a serious public health problem. Existing research has shown a strong association between obesity and an individual's diet and physical activity. If we extend such an association to the neighborhood level, information about the diet and physical activity of the residents of a neighborhood may improve the estimate of neighborhood-level obesity prevalence and help identify the neighborhoods that are more likely to suffer from obesity. However, it is challenging to measure neighborhood-level diet and physical activity through surveys and interviews, especially for a large geographic area.<h4>Methods</h4>We propose a method for deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data, and examine the extent to "],"journal":["International journal of health geographics"],"pagination":["22"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9801358"],"repository":["biostudies-literature"],"pubmed_title":["Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation."],"pmcid":["PMC9801358"],"pubmed_authors":["Hu Y","Tirabassi JN","Ma Y","Zhou RZ","Xu Z"],"additional_accession":[]},"is_claimable":false,"name":"Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation.","description":"<h4>Background</h4>Obesity is a serious public health problem. Existing research has shown a strong association between obesity and an individual's diet and physical activity. If we extend such an association to the neighborhood level, information about the diet and physical activity of the residents of a neighborhood may improve the estimate of neighborhood-level obesity prevalence and help identify the neighborhoods that are more likely to suffer from obesity. However, it is challenging to measure neighborhood-level diet and physical activity through surveys and interviews, especially for a large geographic area.<h4>Methods</h4>We propose a method for deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data, and examine the extent to ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Dec","modification":"2026-06-03T15:16:59.077Z","creation":"2025-02-19T03:30:51.604Z"},"accession":"S-EPMC9801358","cross_references":{"pubmed":["36585658"],"doi":["10.1186/s12942-022-00321-4"]}}