{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:24:18Z","timestamp":1785338658795,"version":"3.55.0"},"reference-count":20,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2021,1,27]],"date-time":"2021-01-27T00:00:00Z","timestamp":1611705600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cutan Med Surg"],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Bacterial skin infections can cause significant disability and can lead to mortality with inadequate treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To determine whether sanitation and body mass index (BMI) are statistically significant risk factors for the incidence and prognosis of bacterial skin infections.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Country-level data regarding the age-standardized rates of incidence, prevalence, and years lived with disability (YLD) from bacterial skin infection per 100 000 persons from the Global Burden of disease dataset, and country-level data on age-standardized prevalence of obesity (BMI \u226530) and low BMI (BMI &lt;18.5) from World Health Organization Global Health Observatory data repository were analyzed. Regression models were created to examine the effects of sanitation, obesity, and low BMI on the burden of bacterial skin infections.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The percentage of population using basic sanitation services was positively associated with incidence, prevalence, and YLD from bacterial skin infections ( P &lt; .05). After controlling for sanitation, in countries with more than 50% of the population using basic sanitation services, obesity was positively associated with incidence, prevalence, and YLD from bacterial skin infections ( P &lt; .05). In countries with less than or equal to 50% of the population using basic sanitation services, low BMI was positively associated with incidence, prevalence, and YLD from bacterial skin infections ( P &lt; .05).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Improving sanitation access in all countries, reducing the percentage of obese population in countries with good sanitation\/hygiene techniques, and addressing malnutrition in countries with poor sanitation\/hygiene techniques may help to reduce the burden of bacterial skin infections.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1203475420988857","type":"journal-article","created":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T01:28:10Z","timestamp":1611797290000},"page":"293-297","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Sanitation, Obesity, and Low Body Mass Index as Risk Factors for Bacterial Skin Infections"],"prefix":"10.1177","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5271-8127","authenticated-orcid":false,"given":"Pushkar","family":"Aggarwal","sequence":"first","affiliation":[{"name":"College of Medicine, University of Cincinnati, Cincinnati, OH, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1399-1838","authenticated-orcid":false,"given":"Suraj","family":"Muddasani","sequence":"additional","affiliation":[{"name":"College of Medicine, University of Cincinnati, Cincinnati, OH, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Alan B.","family":"Fleischer","sequence":"additional","affiliation":[{"name":"College of Medicine, University of Cincinnati, Cincinnati, OH, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2021,1,27]]},"reference":[{"key":"bibr1-1203475420988857","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pbio.1002533"},{"key":"bibr2-1203475420988857","unstructured":"Overview of Bacterial Skin Infections - Skin Disorders. Merck Manuals Consumer Version. Accessed October 8, 2020. https:\/\/www.merckmanuals.com\/home\/skin-disorders\/bacterial-skin-infections\/overview-of-bacterial-skin-infections"},{"key":"bibr3-1203475420988857","volume-title":"Medical Microbiology","author":"Aly R","year":"1996","edition":"4"},{"key":"bibr4-1203475420988857","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/846453"},{"key":"bibr5-1203475420988857","doi-asserted-by":"publisher","DOI":"10.3945\/an.115.010207"},{"key":"bibr6-1203475420988857","doi-asserted-by":"publisher","DOI":"10.1017\/S0029665112000092"},{"issue":"3","key":"bibr7-1203475420988857","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1177\/0884533617712225","volume":"33","author":"Chen M-Y.","year":"2018","journal-title":"Nutr Clin Pract"},{"key":"bibr8-1203475420988857","doi-asserted-by":"publisher","DOI":"10.1007\/s10875-018-0492-0"},{"key":"bibr9-1203475420988857","unstructured":"Institute for Health Metrics and Evaluation (IHME). Global Burden of Disease Study 2017 (GBD 2017) Results. Accessed September 20, 2020. http:\/\/ghdx.healthdata.org\/gbd-2017"},{"key":"bibr10-1203475420988857","unstructured":"World Health Organization. World Health Organization Global Health Observatory. Accessed September 20, 2020. https:\/\/www.who.int\/data\/gho"},{"key":"bibr11-1203475420988857","unstructured":"Ingo Mierswa, Ralf Klinkenberg.\n                      RapidMiner Studio 9.7\n                      [\n                      Data Science, Machine Learning, Predictive Analytics\n                      ]."},{"key":"bibr12-1203475420988857","unstructured":"R Core Team. R: A language and environment for statistical computing.\n                      R Foundation for Statistical Computing\n                      , Vienna, Austria."},{"key":"bibr13-1203475420988857","unstructured":"Prevention of Recurrent Staphylococcal Skin Infections. 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