{"meta":{"status":200,"messages":[],"pagination":{"max":1,"offset":0,"count":1,"total":1,"pageNum":1,"totalPages":1,"sort":null,"currentUrl":"https://api.digitalmedia.hhs.gov/api/v2/resources/media.json?offset=0&max=1&ignoreHiddenMedia=1&format=json&id=6994&newUrlBase=http://www.cdc.gov/mmwr/preview/mmwrhtml","nextUrl":null,"previousUrl":null}},"results":[{"content":"<body>\n <div class=\"syndicate\"> \n  <div> \n   <div> \n    <p><font color=\"red\">Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: <a href=\"mailto:mmwrq@cdc.gov\">mmwrq@cdc.gov</a>. Type 508 Accommodation and the title of the report in the subject line of e-mail.</font></p> \n   </div> \n   <h1 autofocus=\"true\">Promotion of Healthy Swimming After a Statewide Outbreak of Cryptosporidiosis Associated with Recreational Water Venues \u2014 Utah, 2008\u20132009</h1> \n   <!-- this will dynamically write out the report title and date --> \n   <script language=\"Javascript\" type=\"text/javascript\">\r\n<!--\r\n   var textOut = \"\";\r\n   if (reportTitle == \"MMWR in Brief\")\r\n   {\r\n     \r\n\t textOut += '<h2>' +  '<i>' + \"MMWR \" + '<\\/i>' + \"in Brief\" + '<\\/h2>';\r\n   }\r\n   else\r\n   {\r\n\t textOut += '<i><h2>' +  reportTitle + '<\\/h2><\\/i>';   \r\n   }\r\n   textOut += '<strong>' + reportDate + '<\\/strong><br /><br />';\r\n   document.write(textOut);\r\n// -->\r\n</script> \n   <p>During the summer of 2007, Utah experienced a statewide outbreak of gastrointestinal illness caused by <i>Cryptosporidium</i>, a parasite transmitted via the fecal-oral route. Approximately 5,700 outbreak-related cases were identified across the state (<i><a href=\"http://www.cdc.gov/mmwr/preview/mmwrhtml/ss6012a1.htm?s_cid=ss6012a1_w\">1</a></i>). Of 1,506 interviewed patients with laboratory-confirmed cryptosporidiosis, 1,209 (80%) reported swimming in at least one of approximately 450 recreational water venues during their potential 14-day incubation period (<i><a href=\"http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5736a2.htm\">2</a></i>). <i>Cryptosporidium</i> is extremely chlorine-tolerant, and secondary or supplemental disinfection with ultraviolet light or ozone can control but not prevent outbreaks. Because swimmers are the primary source of <i>Cryptosporidium</i> contamination, healthy swimming campaigns are needed to increase awareness and practice of healthy swimming behaviors, especially not swimming while ill with diarrhea (i.e., swimming while ill with diarrhea can lead to gross contamination of recreational water). Before the 2008 summer swimming season, Utah public health agencies launched a multimedia healthy swimming campaign. To assess knowledge of healthy swimming, a survey of Utah residents was conducted during July\u2013September 2008. The results of that survey found that 96.1% of respondents correctly indicated that \"it is not OK to swim if you have diarrhea.\" In a separate national survey in 2009, 100% of Utah residents but only 78.4% of residents of other states correctly indicated that \"not swimming while ill with diarrhea protects others from recreational water illnesses (RWIs).\" No recreational water\u2013associated outbreaks were detected in Utah during 2008\u20132011. The healthy swimming campaign, as part of a multipronged prevention effort, might have helped prevent recreational water\u2013associated outbreaks of cryptosporidiosis in Utah. </p> \n   <p>Before the 2008 summer swimming season, Utah's state and local public health agencies teamed with community partners to control recreational water\u2013associated transmission of <i>Cryptosporidium</i> (<i>3</i>). For example, the Salt Lake Valley Health Department (SLVHD) collaborated with pool operators to establish fecal incident\u2013response protocols and install secondary or supplement disinfection systems to inactivate <i>Cryptosporidium</i> at 75 treated recreational water venues. SLVHD also collaborated with the Utah Department of Health and diagnostic laboratories to expedite reporting of cryptosporidiosis cases to public health authorities. To engage the public in prevention, SLVHD led efforts to disseminate healthy swimming messages via a website, two television advertisements, public service radio announcements, and posters at pools (e.g., \"A Swimming Pool is Like a Community Bathtub\"). In addition, targeted messages were disseminated to schools, competitive water sports teams, and licensed child care facilities. SLVHD also conducted a press conference during Recreational Water Illness and Injury Prevention Week, which is held each year the week before the Memorial Day <span>holiday</span>.* </p> \n   <p>To assess awareness of the previous year's outbreak and the education campaign and knowledge of healthy swimming, the Utah Department of Health surveyed residents of four counties (Davis, Salt Lake, Utah, and Weber) during July\u2013September 2008 using a Utah Behavioral Risk Factor Surveillance System (BRFSS) callback survey (<i>4</i>). The four counties represented 75% of the Utah <span>population</span><span>\u2020</span> and were the counties of residence for 86% of patients with laboratory-confirmed cryptosporidiosis in 2007. Eligible adults had participated in Utah's BRFSS survey previously and indicated a willingness to participate in future surveys. Of the 642 <span>adults</span><span>\u00a7</span> whom UDOH attempted to recontact, 499 (78%) completed interviews. Knowledge of <span>RWIs</span><span>\u00b6</span> and healthy swimming also was assessed nationally during August\u2013September 2009 using HealthStyles, a national postal survey that assesses adults' health-related knowledge, attitudes, and behaviors (<i>5</i>). HealthStyles surveys were mailed to a nationally representative sample of 7,004 households; an adult from 4,556 (65%) households returned the survey. Statistical software was used to apply sampling weights and account for the complex sample design of both survey. Statistical significance (p\u22640.05) was determined using Rao-Scott adjusted chi-squares. </p> \n   <p>In the BRFSS callback survey, 91.3% of respondents reported being aware of the 2007 outbreak (<span><a href=\"#tab1\">Table 1</a></span>). A greater percentage of women (36.2%) than men (16.7%) recalled seeing healthy swimming campaign posters at pools. Greater percentages of adults with children in their households compared with those with no children in their households sought information about the outbreak (24.6% versus 9.5%) and saw posters at pools (35.3% versus 16.1%). Conversely, a greater percentage of those without children recalled seeing television advertisements (51.4%) compared with those with children (34.1%). Among all respondents, 96.1% correctly indicated that \"it is not OK to swim if you have diarrhea,\" and 70.4% correctly indicated that \"chlorine does not kill germs instantly\" (<span><a href=\"#tab2\">Table 2</a></span>). A greater percentage of those who reported seeing any television advertisements correctly indicated that \"it is not OK to swim if you have diarrhea\" (98.6% versus 94.2%) and that \"pool water quality is not the same as drinking water quality\" (90.9% versus 74.9%) than those reporting not seeing any posters at pools or television advertisements. All of the above differences were significant.</p> \n   <p>In the 2009 HealthStyles survey, 100% of Utah residents but only 78.4% of residents of other states correctly indicated that \"not swimming when you have diarrhea\" protects others from RWIs (<a href=\"#tab3\">Table 3</a>). A greater percentage of Utah residents than residents of other states correctly responded to five of eight healthy swimming questions, and most differences were significant (<span><a href=\"#tab3\">Table 3</a></span>). For example, 96.4% of Utah residents compared with 85.7% of residents of other states correctly identified \"not swallowing water you swim in\" as a healthy swimming behavior, and 85.8% of Utah residents compared with 65.9% of residents of other states correctly indicated that \"chlorine does not kill germs instantly.\" However, a smaller percentage of Utah residents than residents of other states identified \"making sure that pools are treated\" as a healthy swimming behavior (49.3% versus 86.0%). </p> \n   <h3>Reported by </h3> \n   <p><i>Gary Edwards, MS, Linda Bogdanow, Salt Lake Valley Health Dept; Robert T. Rolfs, MD, Jennifer Wrathall, MPH, Utah Dept of Health. Sarah A. Collier, MPH, Michele C. Hlavsa, MPH, Michael J. Beach, PhD, Christine E. Prue, PhD, Catherine O. Hough, MPH, Alexandra L. Shevach, MPH, Div of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases; Renee M. Calanan, PhD, EIS Officer, CDC. </i><b><i>Corresponding contributor: </i></b><i>Michele C.</i><i> Hlavsa, </i><a href=\"mailto:mhlavsa@cdc.gov\">mhlavsa@cdc.gov</a><i>, 404-639-1700</i><b><i>.</i></b><i> </i></p> \n   <h3>Editorial Note </h3> \n   <p>This report is the first published assessment of healthy <span>swimming knowledge either nationally or after a recreational water\u2013</span>associated outbreak. Greater percentages of Utah residents than residents of other states identified \"not swimming when you have diarrhea\" and \"not swallowing water you swim in\" as healthy swimming behaviors. These differences might reflect significant differences in knowledge between Utah residents and residents of other states with regard to recognizing that chlorine does not kill pathogens instantly. </p> \n   <p>Chlorine is the primary barrier to pathogen transmission in treated recreational water venues. Historically, establishment and enforcement of water quality standards by public health authorities and maintenance of water quality by the aquatics sector has been sufficient to prevent RWI outbreaks. However, the emergence of <i>Cryptosporidium</i>, a chlorine-tolerant <span>pathogen</span>, has meant that chlorination alone is no longer sufficient to protect swimmer health. <i>Cryptosporidium</i> can survive in water at CDC-recommended free chlorine levels of 1\u20133 <span>mg/L</span>** for 3.5\u201310.6 days (<i>6</i>). Since the first reported U.S. swimming pool\u2013associated outbreak of cryptosporidiosis in 1988, <i>Cryptosporidium</i> has been responsible for the significant (negative binomial regression, p&lt;0.001) increase in the incidence of recreational water\u2013associated outbreaks (CDC, unpublished data, 2012). During 2007\u20132008, a total of 59 (72%) of <span>82</span><span>\u2020\u2020 </span>treated recreational water\u2013associated outbreaks with an identified infectious etiology were caused by <i>Cryptosporidium</i> (<i><a href=\"http://www.cdc.gov/mmwr/preview/mmwrhtml/ss6012a1.htm?s_cid=ss6012a1_w\">1</a></i>). </p> \n   <p><span>To prevent recreational water\u2013associated outbreaks of cryptosporidiosis, education of swimmers is needed. A single diarrheal contamination incident can introduce 10</span><span>7</span><span>\u201310</span><span>8</span><span> </span><i>Cryptosporidium</i><span> oocysts to a typical treated recreational water venue, enough that a single mouthful could lead to infection (</span><i>7,8</i><span>). Moreover, a single infected swimmer potentially can contaminate multiple recreational water venues, causing a communitywide outbreak </span><span>(</span><i><a href=\"http://www.cdc.gov/mmwr/preview/mmwrhtml/ss6012a1.htm?s_cid=ss6012a1_w\">1</a>,<a href=\"http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5736a2.htm\">2</a></i><span>). Engineering (e.g., secondary or supplemental disinfection systems) and enforcement (e.g., the Model Aquatic Health </span><span>Code</span><span>,</span><span>\u00a7\u00a7</span><span> which addresses the public health threat presented by </span><i>Cryptosporidium</i><span>) can minimize contamination and help control recreational water\u2013associated outbreaks of cryptosporidiosis. However, the highly infectious, chlorine-tolerant attributes of </span><i>Cryptosporidium</i><span> mean that effective prevention relies on swimmers practicing healthy swimming behaviors</span><i>.</i><span> </span></p> \n   <p>The findings in this report are subject to at least five limitations. First, the cross-sectional design of the ecologic studies does not permit any conclusions about the cause and effect relationship between the education campaign and respondent knowledge. Moreover, no baseline measurements of healthy swimming knowledge of Utah residents were taken before the outbreak or education campaign, so no direct evidence of an increase in healthy swimming knowledge in Utah exists. Second, assessment of healthy swimming knowledge might be susceptible to social desirability bias (e.g., respondents might answer a question about swimming while ill with diarrhea in a manner that will be viewed favorably by others). Third, the BRFSS and HealthStyles surveys assessed knowledge, not behavior. Whether increased healthy swimming knowledge translates to increased likelihood of healthy swimming behavior is unknown. However, no recreational water\u2013associated outbreaks were detected in Utah during 2008\u20132011. Fourth, the nationally representative HealthStyles survey sample was drawn from a nonrandom sample, and the response rate was only 65%. Finally, respondents in the Utah BRFSS callback survey were from a pre-identified group of residents who had indicated a willingness to participate in future surveys and who might not be representative of the general population of Utah. </p> \n   <p>To reverse the increasing incidence of recreational water\u2013associated outbreaks of cryptosporidiosis, healthy swimming campaigns must reach those persons (21.6% in the national HealthStyles survey) who do not know that swimming while ill with diarrhea is an unhealthy swimming behavior. Although the cost of airtime for television and radio advertising might appear prohibitive for many state and local public health agencies, such expenditures should be weighed against the cost (e.g., public health staff time and health-care expenditures) of communitywide cryptosporidiosis outbreaks (<i>3,9</i>). Health promotion efforts such as holding a press conference during Recreational Water Illness and Injury Prevention Week or developing Internet content are less costly opportunities to disseminate healthy swimming messages. Developing seasonally recurring health promotion activities that 1) increase the public's perception of their vulnerability to and the severity of RWIs, 2) emphasize the effectiveness of healthy swimming <span>behaviors</span>,<span>\u00b6\u00b6</span> and 3) increase swimmers' confidence in their ability to effectively implement these simple prevention steps might increase healthy swimming behaviors (<i>10</i>) and prevent future diarrheal contamination of recreational water and associated outbreaks of cryptosporidiosis. </p> \n   <h3>References </h3> \n   <ol> \n    <li> <a href=\"http://www.cdc.gov/mmwr/preview/mmwrhtml/ss6012a1.htm?s_cid=ss6012a1_w\">Hlavsa MC, Roberts VA, Anderson AR, et al. Surveillance for waterborne disease outbreaks and other health events associated with recreational water\u2014United States, 2007\u20132008. MMWR 2011;60(No. SS-12):1\u201332.</a> </li> \n    <li> <a href=\"http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5736a2.htm\">CDC. Communitywide cryptosporidiosis outbreak\u2014Utah, 2007. MMWR 2008;57:989\u201393.</a> </li> \n    <li> <span>Salt Lake Valley Health Department. Cryptosporidiosis outbreak report 2007. Salt Lake City, Utah: Salt Lake Valley Health Department; 2007.Available at </span><a href=\"http://www.slvhealth.org/crypto/pdf/cryptoreport2007.pdf\">http://www.slvhealth.org/crypto/pdf/cryptoreport2007.pdf</a><span>. Accessed April 12, 2012. </span></li> \n    <li> CDC. Behavioral Risk Factor Surveillance System operational and user's guide. Version 3.0. Atlanta, GA: US Department of Health and Human Services, CDC; 2006. Available at ftp://ftp.cdc.gov/pub/data/brfss/userguide.pdf. Accessed April 12, 2012. </li> \n    <li> Mitchell EW, Levis DM, Prue CE. Preconception health: awareness, planning, and communication among a sample of US men and women. Matern Child Health J 2012;16:31\u20139. </li> \n    <li> Shields JM, Hill VR, Arrowood MJ, Beach MJ. Inactivation of <i>Cryptosporidium parvum</i> under chlorinated recreational water conditions. J Water Health 2008;6:513\u201320. </li> \n    <li> Chappell CL, Okhuysen PC, Langer-Curry R, et al. <i>Cryptosporidium hominis</i>: experimental challenge of healthy adults. Am J Trop Med Hyg 2006;75:851\u20137. </li> \n    <li> Goodgame RW, Genta RM, White AC, Chappell CL. Intensity of infection in AIDS-associated cryptosporidiosis. J Infect Dis 1993;167:704\u20139. </li> \n    <li> Collier SA, Stockman LJ, Hicks LA, Garrison LE, Zhou FJ, Beach MJ. Direct healthcare costs of selected diseases primarily or partially transmitted by water. Epidemiol Infect 2012;11:1\u201311. </li> \n    <li> McClain J, Bernhardt JM, Beach MJ. Assessing parents' perception of children's risk for recreation. Emerg Infect Dis 2005;11:670\u20136. </li> \n   </ol> \n   <br> \n   <div> \n    <p>* Additional information available at <a href=\"http://www.cdc.gov/healthywater/swimming/rwi/rwi-prevention-week/index.html\">http:/www.cdc.gov/healthywater/swimming/rwi/rwi-prevention-week/index.html</a>. </p> \n    <p><span>\u2020</span> Based on the U.S. Census Bureau's intercensal estimates of the resident population for counties of Utah, April 1, 2000 to July 1, 2010 (2011 vintage). Available at <a href=\"http://www.census.gov/popest/data/intercensal/county/county2010.html\">http://www.census.gov/popest/data/intercensal/county/county2010.html</a>. </p> \n    <p><span>\u00a7</span> Of the 1,175 respondents who completed the Utah BRFSS survey during March\u2013August 2008, a total of 671 (57%) indicated a willingness to participate in future surveys. </p> \n    <p><span>\u00b6</span> RWIs are caused by infectious pathogens transmitted by ingesting or inhaling aerosols of, or having contact with contaminated water in swimming pools, hot tubs/spas, water parks, interactive fountains, lakes, rivers, and oceans. RWIs also can be caused by chemicals in the water or chemicals that volatilize from the water and cause indoor air quality problems. </p> \n    <p>** At water pH 7.5 and temperature 77\u00b0F (25\u00b0C). </p> \n    <p> <span>\u2020\u2020</span> In all, 90 outbreaks were associated with treated recreational water and caused by an identified etiologic agent during 2007\u20132008 (<i>1</i>). Eight (8.9%) of the outbreaks were caused by a chemical or toxin and not included in the denominator. </p> \n    <p><span>\u00a7\u00a7</span> Additional information available at <a href=\"http://www.cdc.gov/healthywater/swimming/pools/mahc\">http://www.cdc.gov/healthywater/swimming/pools/mahc</a>. </p> \n    <p><span>\u00b6\u00b6</span> Additional information available at <a href=\"http://www.cdc.gov/healthywater/swimming/pools/triple-a-healthy-swimming.html\">http://www.cdc.gov/healthywater/swimming/pools/triple-a-healthy-swimming.html</a>. </p> \n   </div> \n   <br> \n   <div> \n    <p>What is already known on this topic? </p> \n    <p><i>Cryptosporidium</i> has emerged as the leading cause of recreational water\u2013associated outbreaks in the United States. </p> \n    <p>What is added by this report? </p> \n    <p>After the 2007 statewide outbreak of cryptosporidiosis involving approximately 5,700 outbreak-related cases and 450 recreational water venues, Utah public health agencies launched a multimedia healthy swimming campaign before the 2008 summer swimming season. In a 2008 Utah callback survey, respondents demonstrated high levels of knowledge of healthy swimming, and in a 2009 national survey, Utah residents correctly responded to questions assessing healthy swimming knowledge more frequently than residents of other states. No recreational water\u2013associated outbreaks were detected in Utah during 2008\u20132011. </p> \n    <p>What are the implications for public health practice? </p> \n    <p>Because swimmers are the source of <i>Cryptosporidium</i> contamination of recreational water and <i>Cryptosporidium</i> is highly infectious and extremely chlorine tolerant, prevention of recreational water\u2013associated outbreaks of cryptosporidiosis relies on increasing awareness and practice of healthy swimming behaviors, particularly by the 21.6% who failed to identify not swimming while ill with diarrhea as a behavior that protects other swimmers. Public health agencies might help prevent resource-intensive communitywide cryptosporidiosis outbreaks by regularly disseminating healthy swimming messages (e.g., holding a press conference during Recreational Water Illness and Injury Prevention Week). </p> \n   </div> \n   <br> \n   <div> \n    <table> \n     <tbody> \n      <tr> \n       <th scope=\"col\" colspan=\"16\"> <p><b><a name=\"tab1\" href=\"http://www.cdc.gov\"></a>TABLE 1. Weighted percentage of participants aware of 2007 statewide cryptosporidiosis outbreak and elements of 2008 healthy swimming campaign, by selected characteristics \u2014 Cryptosporidiosis Outbreak Callback Survey, Behavioral Risk Factor Surveillance System , Utah, 2008</b></p> </th> \n      </tr> \n      <tr> \n       <th scope=\"col\" rowspan=\"2\"> <p><b>Characteristic</b></p> </th> \n       <th scope=\"col\" colspan=\"3\"> <p><b>Aware of outbreak</b></p> </th> \n       <th scope=\"col\" colspan=\"3\"> <p><b>Sought information </b><b>about outbreak</b></p> </th> \n       <td scope=\"row\" colspan=\"3\"> <p><b>Saw any posters </b><b>at pools</b></p> </td> \n       <th scope=\"col\" colspan=\"3\"> <p><b>Saw any television advertisements</b></p> </th> \n       <th scope=\"col\" colspan=\"3\"> <p><b>Saw any posters at pools or television advertisements</b></p> </th> \n      </tr> \n      <tr> \n       <th scope=\"col\"> <p><b>%</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>p-value*</b></p> </th> \n       <th scope=\"col\"> <p><b>%</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>p-value</b></p> </th> \n       <th scope=\"col\"> <p><b>%</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>p-value</b></p> </th> \n       <th scope=\"col\"> <p><b>%</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>p-value</b></p> </th> \n       <th scope=\"col\"> <p><b>%</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>p-value</b></p> </th> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p><b>All participants</b></p> </td> \n       <td> <p><b>91.3</b></p> </td> \n       <td> <p><b>(87.7\u201395.0)</b></p> </td> \n       <td> </td> \n       <td> <p><b>17.5</b></p> </td> \n       <td> <p><b>(11.7\u201323.3)</b></p> </td> \n       <td> </td> \n       <td> <p><b>25.9</b></p> </td> \n       <td> <p><b>(18.1\u201333.8)</b></p> </td> \n       <td> </td> \n       <td> <p><b>42.3</b></p> </td> \n       <td> <p><b>(32.8\u201351.7)</b></p> </td> \n       <td> </td> \n       <td> <p><b>57.4</b></p> </td> \n       <td> <p><b>(46.6\u201368.3)</b></p> </td> \n       <td> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"16\"> <p><b>Sex</b></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Men</p> </td> \n       <td> <p>89.7</p> </td> \n       <td> <p><span>(83.6\u201395.9)</span></p> </td> \n       <td></td> \n       <td> <p>16.7</p> </td> \n       <td> <p><span>(6.9\u201326.5)</span></p> </td> \n       <td></td> \n       <td> <p>16.7</p> </td> \n       <td> <p><span>(9.0\u201324.3)</span></p> </td> \n       <td></td> \n       <td> <p>36.2</p> </td> \n       <td> <p><span>(21.9\u201350.4)</span></p> </td> \n       <td></td> \n       <td> <p>46.3</p> </td> \n       <td> <p><span>(29.9\u201362.6)</span></p> </td> \n       <td></td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Women</p> </td> \n       <td> <p>93.0</p> </td> \n       <td> <p>(89.1\u201396.9)</p> </td> \n       <td> <p>0.368</p> </td> \n       <td> <p>18.3</p> </td> \n       <td> <p>(12.5\u201324.2)</p> </td> \n       <td> <p>0.781</p> </td> \n       <td> <p>36.2</p> </td> \n       <td> <p>(24.6\u201347.8)</p> </td> \n       <td> <p>0.001</p> </td> \n       <td> <p>48.7</p> </td> \n       <td> <p>(37.8\u201359.6)</p> </td> \n       <td> <p>0.158</p> </td> \n       <td> <p>69.2</p> </td> \n       <td> <p>(60.3\u201378.0)</p> </td> \n       <td> <p><span>0.004</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"16\"> <p><b>Children in household</b></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Yes</p> </td> \n       <td> <p>92.1</p> </td> \n       <td> <p><span>(87.5\u201396.7)</span></p> </td> \n       <td></td> \n       <td> <p>24.6</p> </td> \n       <td> <p><span>(13.4\u201335.8)</span></p> </td> \n       <td></td> \n       <td> <p>35.3</p> </td> \n       <td> <p><span>(20.0\u201350.6)</span></p> </td> \n       <td></td> \n       <td> <p>34.1</p> </td> \n       <td> <p><span>(19.7\u201348.5)</span></p> </td> \n       <td></td> \n       <td> <p>56.5</p> </td> \n       <td> <p><span>(38.1\u201374.9)</span></p> </td> \n       <td></td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>No</p> </td> \n       <td> <p>90.5</p> </td> \n       <td> <p>(84.8\u201396.1)</p> </td> \n       <td> <p>0.647</p> </td> \n       <td> <p>9.5</p> </td> \n       <td> <p>(5.8\u201313.2)</p> </td> \n       <td> <p>0.006</p> </td> \n       <td> <p>16.1</p> </td> \n       <td> <p>(10.2\u201322.0)</p> </td> \n       <td> <p>0.018</p> </td> \n       <td> <p>51.4</p> </td> \n       <td> <p>(41.5\u201361.2)</p> </td> \n       <td> <p>0.049</p> </td> \n       <td> <p>58.5</p> </td> \n       <td> <p>(48.5\u201368.6)</p> </td> \n       <td> <p><span>0.845</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"16\"> <p><b>Swam in 2007</b></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Yes</p> </td> \n       <td> <p>90.7</p> </td> \n       <td> <p><span>(85.5\u201396.0)</span></p> </td> \n       <td></td> \n       <td> <p>20.6</p> </td> \n       <td> <p><span>(11.7\u201329.6)</span></p> </td> \n       <td></td> \n       <td> <p>32.3</p> </td> \n       <td> <p><span>(20.4\u201344.3)</span></p> </td> \n       <td></td> \n       <td> <p>37.1</p> </td> \n       <td> <p><span>(23.8\u201350.3)</span></p> </td> \n       <td></td> \n       <td> <p>57.3</p> </td> \n       <td> <p><span>(41.3\u201373.3)</span></p> </td> \n       <td></td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>No</p> </td> \n       <td> <p>92.4</p> </td> \n       <td> <p>(88.3\u201396.5)</p> </td> \n       <td> <p>0.624</p> </td> \n       <td> <p>11.9</p> </td> \n       <td> <p>(7.1\u201316.8)</p> </td> \n       <td> <p>0.088</p> </td> \n       <td> <p>13.4</p> </td> \n       <td> <p>(6.8\u201320.1)</p> </td> \n       <td> <p>0.010</p> </td> \n       <td> <p>51.3</p> </td> \n       <td> <p>(41.3\u201361.3)</p> </td> \n       <td> <p>0.090</p> </td> \n       <td> <p>57.5</p> </td> \n       <td> <p>(47.2\u201367.9)</p> </td> \n       <td> <p><span>0.983</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"16\"> <p><b>Race/Ethnicity</b><span>\u2020</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>White</p> </td> \n       <td> <p>92.0</p> </td> \n       <td> <p><span>(88.3\u201395.6)</span></p> </td> \n       <td></td> \n       <td> <p>17.5</p> </td> \n       <td> <p><span>(11.5\u201323.4)</span></p> </td> \n       <td></td> \n       <td> <p>26.1</p> </td> \n       <td> <p><span>(18.1\u201334.2)</span></p> </td> \n       <td></td> \n       <td> <p>42.8</p> </td> \n       <td> <p><span>(32.9\u201352.6)</span></p> </td> \n       <td></td> \n       <td> <p>58.2</p> </td> \n       <td> <p><span>(46.9\u201369.5)</span></p> </td> \n       <td></td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Other race/ethnicity</p> </td> \n       <td> <p>74.5</p> </td> \n       <td> <p>(52.8\u201396.2)</p> </td> \n       <td> <p>0.020</p> </td> \n       <td> <p>17.1</p> </td> \n       <td> <p>(0\u201339.9)</p> </td> \n       <td> <p>0.975</p> </td> \n       <td> <p>19.9</p> </td> \n       <td> <p>(0\u201340.6)</p> </td> \n       <td> <p>0.612</p> </td> \n       <td> <p>29.2</p> </td> \n       <td> <p>(4.5\u201353.8)</p> </td> \n       <td> <p>0.355</p> </td> \n       <td> <p>37.7</p> </td> \n       <td> <p>(11.5\u201363.9)</p> </td> \n       <td> <p><span>0.179</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"16\"> <p><b>Household annual income</b></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>&lt;$25,000</p> </td> \n       <td> <p>90.0</p> </td> \n       <td> <p><span>(80.7\u201399.4)</span></p> </td> \n       <td></td> \n       <td> <p>15.0</p> </td> \n       <td> <p><span>(4.8\u201325.1)</span></p> </td> \n       <td></td> \n       <td> <p>12.2</p> </td> \n       <td> <p><span>(2.3\u201322.1)</span></p> </td> \n       <td></td> \n       <td> <p>54.5</p> </td> \n       <td> <p><span>(39.9\u201369.0)</span></p> </td> \n       <td></td> \n       <td> <p>61.4</p> </td> \n       <td> <p><span>(47.4\u201375.5)</span></p> </td> \n       <td></td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>\u2265$25,000</p> </td> \n       <td> <p>91.8</p> </td> \n       <td> <p>(87.9\u201395.6)</p> </td> \n       <td> <p>0.720</p> </td> \n       <td> <p>19.5</p> </td> \n       <td> <p>(13.1\u201325.9)</p> </td> \n       <td> <p>0.482</p> </td> \n       <td> <p>30.4</p> </td> \n       <td> <p>(22.2\u201338.7)</p> </td> \n       <td> <p>0.021</p> </td> \n       <td> <p>44.9</p> </td> \n       <td> <p>(36.2\u201353.7)</p> </td> \n       <td> <p>0.272</p> </td> \n       <td> <p>62.7</p> </td> \n       <td> <p>(54.6\u201370.9)</p> </td> \n       <td> <p><span>0.877</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"16\"> <p><b>Highest education</b></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>No college</p> </td> \n       <td> <p>86.8</p> </td> \n       <td> <p><span>(78.8\u201394.8)</span></p> </td> \n       <td></td> \n       <td> <p>8.2</p> </td> \n       <td> <p><span>(3.0\u201313.4)</span></p> </td> \n       <td></td> \n       <td> <p>25.4</p> </td> \n       <td> <p><span>(14.1\u201336.6)</span></p> </td> \n       <td></td> \n       <td> <p>46.3</p> </td> \n       <td> <p><span>(32.8\u201359.9)</span></p> </td> \n       <td></td> \n       <td> <p>59.6</p> </td> \n       <td> <p><span>(45.7\u201373.5)</span></p> </td> \n       <td></td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Any college</p> </td> \n       <td> <p>92.5</p> </td> \n       <td> <p>(88.5\u201396.5)</p> </td> \n       <td> <p>0.160</p> </td> \n       <td> <p>19.9</p> </td> \n       <td> <p>(12.5\u201327.2)</p> </td> \n       <td> <p>0.020</p> </td> \n       <td> <p>26.1</p> </td> \n       <td> <p>(16.6\u201335.5)</p> </td> \n       <td> <p>0.924</p> </td> \n       <td> <p>41.2</p> </td> \n       <td> <p>(29.9\u201352.5)</p> </td> \n       <td> <p>0.562</p> </td> \n       <td> <p>56.9</p> </td> \n       <td> <p>(43.7\u201370.0)</p> </td> \n       <td> <p><span>0.780</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"16\"> <p><b>Abbreviation:</b> CI = confidence interval. </p> <p>* p-values calculated using Rao-Scott adjusted chi-squares. </p> <p><span>\u2020</span> Whites were all non-Hispanic. Other races were predominantly Hispanic.</p> </td> \n      </tr> \n     </tbody> \n    </table> \n   </div> \n   <br> \n   <div> \n    <table> \n     <tbody> \n      <tr> \n       <th scope=\"col\" colspan=\"14\"> <p><b><a name=\"tab2\" href=\"http://www.cdc.gov\"></a>TABLE 2. Weighted percentage of participants with correct responses to four survey questions, by exposure to healthy swimming campaign elements \u2014 Cryptosporidiosis Outbreak Callback Survey, Behavioral Risk Factor Surveillance System , Utah, 2008 </b></p> </th> \n      </tr> \n      <tr> \n       <th scope=\"col\" rowspan=\"2\"> <p><b>Survey question*</b></p> </th> \n       <th scope=\"col\" colspan=\"2\"> <p><b>Overall</b></p> </th> \n       <th scope=\"col\" colspan=\"2\"> <p><b>Did not see posters </b><b>or television</b><b> advertisements</b></p> </th> \n       <th scope=\"col\" colspan=\"3\"> <p><b>Saw any posters at pools or television advertisements</b></p> </th> \n       <th scope=\"col\" colspan=\"3\"> <p><b>Saw any posters at pools</b></p> </th> \n       <th scope=\"col\" colspan=\"3\"> <p><b>Saw any television advertisements</b></p> </th> \n      </tr> \n      <tr> \n       <th scope=\"col\"> <p><b>% correct</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>% correct</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>% correct</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>p-value</b><span>\u2020</span></p> </th> \n       <th scope=\"col\"> <p><b>% correct</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>p-value</b></p> </th> \n       <th scope=\"col\"> <p><b>% correct</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <th scope=\"col\"> <p><b>p-value</b></p> </th> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Yes or no: <span>Is it ok to swim</span> if <span>you have</span> diarrhea?</p> </td> \n       <td> <p>96.1</p> </td> \n       <td> <p>(94.1\u201398.1)</p> </td> \n       <td> <p>94.2</p> </td> \n       <td> <p>(90.0\u201398.5)</p> </td> \n       <td> <p>97.5</p> </td> \n       <td> <p>(95.6\u201399.4)</p> </td> \n       <td> <p>0.121</p> </td> \n       <td> <p>96.6</p> </td> \n       <td> <p>(93.4\u201399.8)</p> </td> \n       <td> <p>0.391</p> </td> \n       <td> <p>98.6</p> </td> \n       <td> <p>(96.9\u2013100.0)</p> </td> \n       <td> <p><span>0.046</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>True or false: <span>Chlorine kills</span> ger<span>ms instantly</span></p> </td> \n       <td> <p>70.4</p> </td> \n       <td> <p>(62.3\u201378.4)</p> </td> \n       <td> <p>68.2</p> </td> \n       <td> <p>(53.3\u201383.0)</p> </td> \n       <td> <p>72.0</p> </td> \n       <td> <p>(62.9\u201381.2)</p> </td> \n       <td> <p>0.666</p> </td> \n       <td> <p>81.1</p> </td> \n       <td> <p>(72.3\u201389.8)</p> </td> \n       <td> <p>0.149</p> </td> \n       <td> <p>69.1</p> </td> \n       <td> <p>(58.0\u201380.3)</p> </td> \n       <td> <p><span>0.919</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>True or false: <span>Pool water</span> quality <span>is the same</span> as drinking water</p> </td> \n       <td> <p>81.8</p> </td> \n       <td> <p>(68.4\u201395.1)</p> </td> \n       <td> <p>74.9</p> </td> \n       <td> <p>(48.5\u2013100.0)</p> </td> \n       <td> <p>86.9</p> </td> \n       <td> <p>(77.2\u201396.6)</p> </td> \n       <td> <p>0.306</p> </td> \n       <td> <p>82.3</p> </td> \n       <td> <p>(62.1\u2013100.0)</p> </td> \n       <td> <p>0.653</p> </td> \n       <td> <p>90.9</p> </td> \n       <td> <p>(87.0\u201394.8)</p> </td> \n       <td> <p><span>0.045</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>True or false: Th<span>e outbreak</span> <span>could have been</span> prevented if all pools were well maintained</p> </td> \n       <td> <p>53.3</p> </td> \n       <td> <p>(41.9\u201364.7)</p> </td> \n       <td> <p>42.3</p> </td> \n       <td> <p>(22.4\u201362.2)</p> </td> \n       <td> <p>60.6</p> </td> \n       <td> <p>(50.9\u201370.2)</p> </td> \n       <td> <p>0.065</p> </td> \n       <td> <p>64.4</p> </td> \n       <td> <p>(51.3\u201377.6)</p> </td> \n       <td> <p>0.022</p> </td> \n       <td> <p>56.8</p> </td> \n       <td> <p>(45.4\u201368.2)</p> </td> \n       <td> <p><span>0.172</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"14\"> <p><b>Abbreviation:</b> CI = confidence interval. </p> <p>* Correct answers were no, false, false, false. </p> <p><span>\u2020</span> p-values calculated using Rao-Scott adjusted chi-squares.</p> </td> \n      </tr> \n     </tbody> \n    </table> \n   </div> \n   <br> \n   <div> \n    <table> \n     <tbody> \n      <tr> \n       <th scope=\"col\" colspan=\"6\"> <p><b><a name=\"tab3\" href=\"http://www.cdc.gov\"></a>TABLE 3. Weighted percentage of participants with correct responses to questions regarding healthy swimming, </b><b>Utah residents</b><b> compared with residents of other states* \u2014 HealthStyles Survey, United States, 2009 </b></p> </th> \n      </tr> \n      <tr> \n       <th scope=\"col\" rowspan=\"2\"> <p><b>Survey question</b></p> </th> \n       <th scope=\"col\" colspan=\"2\"> <p><b>Utah residents</b></p> </th> \n       <td scope=\"row\" colspan=\"2\"> <p><b>Residents of other states</b></p> </td> \n       <th scope=\"col\" rowspan=\"2\"> <p><b>p-value</b><span>\u2020</span></p> </th> \n      </tr> \n      <tr> \n       <th scope=\"col\"> <p><b>% correct</b></p> </th> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n       <td scope=\"row\"> <p><b>% correct</b></p> </td> \n       <th scope=\"col\"> <p><b>(95% CI)</b></p> </th> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Not swimming when you have diarrhea</p> </td> \n       <td> <p>100.0</p> </td> \n       <td> <p>(100\u2013100)</p> </td> \n       <td> <p>78.4</p> </td> \n       <td> <p>(76.5\u201380.2)</p> </td> \n       <td> <p>\u2014</p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p><span>Not swallowing water you swim in</span></p> </td> \n       <td> <p>96.4</p> </td> \n       <td> <p>(90.8\u2013100)</p> </td> \n       <td> <p>85.7</p> </td> \n       <td> <p>(84.4\u201387.1)</p> </td> \n       <td> <p>0.046</p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p><span>Washing hands after using the toilet or changing a diaper</span></p> </td> \n       <td> <p>91.7</p> </td> \n       <td> <p>(79.7\u2013100)</p> </td> \n       <td> <p>80.6</p> </td> \n       <td> <p>(78.9\u201382.4)</p> </td> \n       <td> <p>0.206</p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p><span>Changing diapers in the bathroom or diaper changing area </span><span>and not poolside</span></p> </td> \n       <td> <p>91.5</p> </td> \n       <td> <p>(80.1\u2013100)</p> </td> \n       <td> <p>68.1</p> </td> \n       <td> <p>(66.1\u201370.2)</p> </td> \n       <td> <p>0.015</p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p><span>Chlorine does not kill germs instantly</span></p> </td> \n       <td> <p>85.8</p> </td> \n       <td> <p>(71.3\u2013100)</p> </td> \n       <td> <p>65.9</p> </td> \n       <td> <p>(63.8\u201368.1)</p> </td> \n       <td> <p>0.048</p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p><span>Showering or bathing with soap before getting in the water</span></p> </td> \n       <td> <p>80.3</p> </td> \n       <td> <p>(61.2\u201399.5)</p> </td> \n       <td> <p>53.6</p> </td> \n       <td> <p>(51.4\u201355.9)</p> </td> \n       <td> <p>0.029</p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p><span>Heard of recreational water illnesses </span></p> </td> \n       <td> <p>76.6</p> </td> \n       <td> <p>(53.8\u201399.5)</p> </td> \n       <td> <p>19.1</p> </td> \n       <td> <p>(17.3\u201321.0)</p> </td> \n       <td> <p>&lt;0.001</p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p><span>Taking young children on bathroom breaks often</span></p> </td> \n       <td> <p>52.2</p> </td> \n       <td> <p>(9.6\u201394.9)</p> </td> \n       <td> <p>69.6</p> </td> \n       <td> <p>(67.6\u201371.7)</p> </td> \n       <td> <p>0.385</p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\"> <p>Making sure that pools are treated<span>\u00a7</span></p> </td> \n       <td> <p>49.3</p> </td> \n       <td> <p>(8.8\u201389.8)</p> </td> \n       <td> <p>86.0</p> </td> \n       <td> <p>(84.7\u201387.4)</p> </td> \n       <td> <p><span>0.010</span></p> </td> \n      </tr> \n      <tr> \n       <td scope=\"row\" colspan=\"6\"> <p><b>Abbreviation:</b> CI = confidence interval. </p> <p>* Excludes residents of Alaska and Hawaii. Utah participants did not differ significantly from other HealthStyles participants by age, race/ethnicity, sex, annual household income, or education. </p> <p><span>\u2020</span> p-values calculated using Rao-Scott adjusted chi-squares. </p> <p><span>\u00a7</span> CDC recommends that swimmers check free chlorine and pH levels with pool test strips before entering treated recreational water venues. Proper free chlorine <span>(1\u20133 mg/L</span>) and <span>pH (7.2\u20137.8) levels</span> can prevent transmission of chlorine-susceptible infectious pathogens but not <i>Cryptosporidium</i>. Test strips can be purchased at pool supply or hardware stores. </p> </td> \n      </tr> \n     </tbody> \n    </table> \n   </div> \n  </div> \n  <!--mSyndicate div end here--> \n </div>\n <script type=\"application/ld+json\">{\"@context\":\"http://schema.org\",\"@type\":\"Article\",\"headline\":\"Promotion of Healthy Swimming After a Statewide Outbreak of Cryptosporidiosis Associated with Recreational Water Venues - Utah,2008-2009\",\"datePublished\":\"2016-09-23T22:09:52Z\",\"description\":\"Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.\",\"about\":\"prevention, research, cessation, secondhand smoke, Smoking Use and Tobacco Facts, Quitting Resources, Prevent Smoking and Tobacco Use\",\"audience\":\"\",\"dateCreated\":\"2016-09-23T22:09:52Z\",\"dateModified\":\"2016-10-23T22:10:08Z\",\"sourceOrganization\":\"Centers for Disease Control and Prevention\"}</script>\n</body><div class='syndicate'><span><Strong>Syndicated Content Details:</strong></span><br/><span>Source URL: <a href='http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6119a5.htm'>http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6119a5.htm</a></span><br/><span>Source Agency: <a href='http://www.cdc.gov'>Centers for Disease Control and Prevention (CDC)</a></span><br/><span>Captured Date: 2016-05-23 22:09:52.0</span><br/></div><iframe src=\"//www.googletagmanager.com/ns.html?id=GTM-KT9TM9&mediaId=6994&mediaType=html&sourceUrl=http%3A%2F%2Fwww.cdc.gov%2Fmmwr%2Fpreview%2Fmmwrhtml%2Fmm6119a5.htm&userId=-1&sourceId=6&sourceAcronym=CDC&campaignId=-1&campaignName=null&languageId=1&isoCode=eng\" height=\"0\" width=\"0\" style=\"display:none;visibility:hidden\"></iframe><noscript><iframe src=\"//www.googletagmanager.com/ns.html?id=GTM-KT9TM9&mediaId=6994&mediaType=html&sourceUrl=http%3A%2F%2Fwww.cdc.gov%2Fmmwr%2Fpreview%2Fmmwrhtml%2Fmm6119a5.htm&userId=-1&sourceId=6&sourceAcronym=CDC&campaignId=-1&campaignName=null&languageId=1&isoCode=eng\" height=\"0\" width=\"0\" style=\"display:none;visibility:hidden\"></iframe></noscript>","description":"Persons using assistive technology might not be able to fully access information in this file. 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