{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:04:54Z","timestamp":1761807894758,"version":"build-2065373602"},"reference-count":30,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2014,10,24]],"date-time":"2014-10-24T00:00:00Z","timestamp":1414108800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The prevalence of obesity has increased dramatically in recent decades. It is an important public health issue as it causes many other chronic health conditions, such as hypertension, cardiovascular diseases, and type II diabetics. Obesity affects life expectancy and even the quality of lives. Eventually, it increases social costs in many ways due to increasing costs of health care and workplace absenteeism. Using the spatial patterns of obesity prevalence as an example; we show how different geographic units can reveal different degrees of detail in results of analysis. We used both census tracts and census block groups as units of geographic analysis. In addition; to reveal how different geographic scales may impact on the analytic results; we applied geographically weighted regression to model the relationships between obesity rates (dependent variable) and three independent variables; including education attainment; unemployment rates; and median family income. Though not including an exhaustive list of explanatory variables; this regression model provides an example for revealing the impacts of geographic scales on analysis of health data. With obesity data based on reported heights and weights on driver\u2019s licenses in Summit County, Ohio, we demonstrated that geographically weighted regression reveals varying spatial trends between dependent and independent variables that conventional regression models such as ordinary least squares regression cannot. Most importantly, analyses carried out with different geographic scales do show very different results. With these findings, we suggest that, while possible, smaller geographic units be used to allow better understanding of the studies phenomena.<\/jats:p>","DOI":"10.3390\/ijgi3041198","type":"journal-article","created":{"date-parts":[[2014,10,24]],"date-time":"2014-10-24T11:46:16Z","timestamp":1414151176000},"page":"1198-1210","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Impacts of Scale on Geographic Analysis of Health Data: An Example of Obesity Prevalence"],"prefix":"10.3390","volume":"3","author":[{"given":"Jay","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Geography, Kent State University, Kent, OH 44242, USA"},{"name":"College of Environment and Planning, Henan University, Kaifeng 475001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad","family":"Alnasrallah","sequence":"additional","affiliation":[{"name":"Department of Geography, Kent State University, Kent, OH 44242, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0525-0071","authenticated-orcid":false,"given":"David","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Geography and Geographic Information Science, George Mason University,  Fairfax, VA 22030, USA"},{"name":"Department of Geography, University of Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heather","family":"Beaird","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Kent State University, Kent, OH 44242, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Everett","family":"Logue","sequence":"additional","affiliation":[{"name":"Family Medicine Research Center, Summa Health System, Akron, OH 44309, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,10,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Fotheringham, A.S., and Rogerson, P.A. (2009). The SAGE Handbook of Spatial Analysis, Sage.","DOI":"10.4135\/9780857020130"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2729","DOI":"10.1016\/j.socscimed.2004.11.005","article-title":"Zone design for environment and health studies using pre-aggregated data","volume":"60","author":"Cockings","year":"2005","journal-title":"Soc. Sci. Med."},{"key":"ref_3","first-page":"A71","article-title":"Fast-food consumption and obesity among Michigan adults","volume":"8","author":"Anderson","year":"2011","journal-title":"Prev. Chronic Dis."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.amepre.2004.04.017","article-title":"Prevalence of multiple chronic disease risk factors: 2001 National Health Interview Survey","volume":"27","author":"Fine","year":"2004","journal-title":"Am. J. Prev. Med."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1723","DOI":"10.1001\/jama.288.14.1723","article-title":"Prevalence and tends in obesity among US adults, 1999\u20132000","volume":"288","author":"Flegal","year":"2002","journal-title":"J. Am. Med. Assoc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2847","DOI":"10.1001\/jama.291.23.2847","article-title":"Prevalence of overweight and obesity among US children, adolescents, and adults, 1999\u20132002","volume":"291","author":"Hedley","year":"2004","journal-title":"J. Am. Med. Assoc."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1001\/jama.288.14.1728","article-title":"Prevalence and trends in overweight among US children and adolescents, 1999\u20132000","volume":"288","author":"Ogden","year":"2002","journal-title":"J. Am. Med. Assoc."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1001\/jama.2012.40","article-title":"Prevalence of obesity and trends in body mass index among US children and adolescents, 1999\u20132010","volume":"307","author":"Ogden","year":"2012","journal-title":"J. Am. Med. Assoc."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1111\/j.1467-789X.2006.00242.x","article-title":"Reducing obesity and related chronic disease risk in children and youth: A synthesis of evidence with \u201cbest practice\u201d recommendations","volume":"7","author":"Flynn","year":"2006","journal-title":"Obes. Rev."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1001\/jama.282.16.1523","article-title":"The disease burden associated with overweight and obesity","volume":"282","author":"Must","year":"1999","journal-title":"J. Am. Med. Assoc."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"S9","DOI":"10.1016\/S0002-8223(98)00704-4","article-title":"Obesity as a chronic disease: Modern medical and lifestyle management","volume":"98","author":"Rippe","year":"1998","journal-title":"J. Am. Diet. Assoc."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1038\/sj.ijo.0803354","article-title":"Is China facing an obesity epidemic and the consequences? The trends in obesity and chronic disease in China","volume":"31","author":"Wang","year":"2007","journal-title":"Int. J. Obes."},{"key":"ref_13","unstructured":"World Health Organization Obesity: Preventing and Managing the Global Epidemic. Available online:http:\/\/libdoc.who.int\/trs\/WHO_TRS_984.pdf."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2099","DOI":"10.1161\/01.CIR.97.21.2099","article-title":"American Heart Association call to action: Obesity as a major risk factor for coronary heart disease","volume":"98","author":"Eckel","year":"1998","journal-title":"Circulation"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1017\/S0029665100000380","article-title":"Body-weight regulation: Causes of obesity","volume":"59","author":"Martinez","year":"2000","journal-title":"Proc. Nutr. Soc."},{"key":"ref_16","unstructured":"Waine, C. (2008). Obesity and Weight Management in Primary Care, Blackwell Science."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1509\/jppm.26.2.221","article-title":"Fast-food marketing and children\u2019s fast-food consumption: Exploring parents\u2019 influences in an ethnically diverse sample","volume":"26","author":"Sonya","year":"2007","journal-title":"J. Public Policy Mark."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Wilding, J. (2001). Causes of obesity. Pract. Diabetes Int., 18.","DOI":"10.1002\/pdi.277"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1007\/s00261-012-9862-x","article-title":"Causes of obesity","volume":"37","author":"Wright","year":"2012","journal-title":"Abdom. Imaging"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1037\/0033-2909.105.2.260","article-title":"Socioeconomic status and obesity: A review of literature","volume":"105","author":"Sobal","year":"1989","journal-title":"Psychol. Bull."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1622","DOI":"10.1038\/oby.2004.202","article-title":"Trends in the association between obesity and socioeconomic status in US adults: 1971\u20132000","volume":"12","author":"Zhang","year":"2004","journal-title":"Obes. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1093\/epirev\/mxm001","article-title":"Socioeconomic status and obesity","volume":"29","author":"McLaren","year":"2007","journal-title":"Epidemiol. Rev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.ehb.2004.05.001","article-title":"Driver\u2019s license as a source of data on height and weight","volume":"2","author":"Ossiander","year":"2004","journal-title":"Econ. Hum. Biol."},{"key":"ref_24","unstructured":"Pearce, J., and Witten, K. (2010). Geographies of Obesity: Environmental Understandings of the Obesity Epidemic, Ashgate Publishing Ltd."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1068\/a231025","article-title":"The modifiable areal unit problem in multivariate statistical analysis","volume":"23","author":"Fotheringham","year":"1991","journal-title":"Environ. Plan. A"},{"key":"ref_26","first-page":"431","article-title":"Geographically weighted regression","volume":"47","author":"Brunsdon","year":"1998","journal-title":"J. R. Stat. Soc. Ser. D"},{"key":"ref_27","unstructured":"Fotheringham, A.S., Brunsdon, C., and Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Wiley & Sons."},{"key":"ref_28","unstructured":"ESRI. Available online:http:\/\/www.esri.com."},{"key":"ref_29","unstructured":"Sheppard, E., and McMaster, R.B. (2008). Scale and Geographic Inquiry: Nature, Society and Method, John Wiley and Sons."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1559\/152304010793454363","article-title":"Incorporating data quality information in mapping the American Community Survey data","volume":"37","author":"Sun","year":"2010","journal-title":"Cartogr. Geogr. Inf. Sci."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/3\/4\/1198\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:17:25Z","timestamp":1760217445000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/3\/4\/1198"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10,24]]},"references-count":30,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2014,12]]}},"alternative-id":["ijgi3041198"],"URL":"https:\/\/doi.org\/10.3390\/ijgi3041198","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2014,10,24]]}}}