2016 SMART BRFSS MMSA Methodology - Centers For Disease .

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2016 SMART BRFSS MMSA MethodologyOverviewThe Behavioral Risk Factor Surveillance System (BRFSS) Selected Metropolitan/MicropolitanArea Risk Trends (SMART) is a documented and verified subset of the 2016 BRFSS that hasbeen produced to provide some local area estimates. These local areas are identified asmetropolitan or micropolitan statistical areas (MMSAs), as defined by the Office of Managementand Budget (OMB). The data set was produced by adding new raking weights designed tocorrespond to the 2016 population estimates for each eligible MMSA.Typically, BRFSS data are used to produce state-level estimates; however, for the SMARTproject, BRFSS data were used to produce small area-level estimates for MMSAs as defined bythe U.S. Census Bureau. On June 6, 2003, OMB issued new definitions for MMSA andmetropolitan divisions. OMB periodically updates the list of MMSAs. The list of areas used for thisanalysis can be found here: l.County and MMSA IdentifiersA county name was collected from the respondent during the demographics section of theinterview. The name of the county was used to determine the corresponding American NationalStandards Institute (ANSI) county code; this code was retained as a variable in the data set. Thedata record from an interview with a respondent was assigned to an MMSA on the basis of thecounty code.Landline telephone data records resulting in an entry with a missing county variable value had animputed county value assigned. The imputed county value represents the county most likelyassociated with the telephone number and was determined from the purchased telephonesample.Cellular telephone data records resulting in entries with a missing county variable had an imputedcounty value assigned from one of three sources:1. An open-end text response provided by the respondent, or2. Information derived from the zip code provided by the respondent, or3. The record was assigned to the largest county population by age and race/ethnicity.MMSAs were selected in the SMART BRFSS MMSA data if there were 500 or more respondentsin the 2016 BRFSS combined landline telephone and cellular telephone data.

Weighting MethodologyThe BRFSS raking method used to generate the 2016 final weight is described in thedocumentation available with the annual aggregate data release. For the details of the descriptionof the raking methodology, refer to the BRFSS 2016 Survey Data and Documentation Web page.The MMSA weight was generated from additional raking, beginning with the BRFSS raked dataset. The combined landline telephone and cellular telephone weight variable was raked to 5margins, which are age group, gender, race and ethnicity group, gender by age group, andgender by race and ethnicity group at the MMSA level.The variable MMSA is the code of metropolitan or micropolitan statistical area where therespondent lives. The variable MMSANAM is the MMSA name. The variable MMSAWT is theMMSA-level weight that is used when generating MMSA-level estimates for variables in the dataset.Appendix A lists the MMSAs that are in 2016 SMART BRFSS MMSA data; 143 MMSAs met thecriteria.Appendix B includes examples of SAS code and SUDAAN code used for analysis of the MMSAdata set.

Appendix A:List of the 143 MMSAs Having MMSA-level Weights in 2016 BRFSS DataMetropolitan/Micropolitan Statistical Area or Metropolitan Division Codesand NamesMMSANumberMMSA Name10580Albany-Schenectady-Troy, NY, Metropolitan Statistical Area10740Albuquerque, NM, Metropolitan Statistical Area10900Allentown-Bethlehem-Easton, PA-NJ, Metropolitan Statistical Area11260Anchorage, AK, Metropolitan Statistical Area12060Atlanta-Sandy Springs-Roswell, GA, Metropolitan Statistical Area12260Augusta-Richmond County, GA-SC, Metropolitan Statistical Area12420Austin-Round Rock, TX, Metropolitan Statistical Area12580Baltimore-Columbia-Towson, MD, Metropolitan Statistical Area12940Baton Rouge, LA, Metropolitan Statistical Area13220Beckley, WV, Metropolitan Statistical Area13620Berlin, NH-VT, Micropolitan Statistical Area13740Billings, MT, Metropolitan Statistical Area13780Binghamton, NY, Metropolitan Statistical Area13820Birmingham-Hoover, AL, Metropolitan Statistical Area13900Bismarck, ND, Metropolitan Statistical Area14260Boise City, ID, Metropolitan Statistical Area14454Boston, MA, Metropolitan Division15380Buffalo-Cheektowaga-Niagara Falls, NY, Metropolitan Statistical Area15540Burlington-South Burlington, VT, Metropolitan Statistical Area15764Cambridge-Newton-Framingham, MA, Metropolitan Division15804Camden, NJ, Metropolitan Division16300Cedar Rapids, IA, Metropolitan Statistical Area16620Charleston, WV, Metropolitan Statistical Area16700Charleston-North Charleston, SC, Metropolitan Statistical Area16740Charlotte-Concord-Gastonia, NC-SC, Metropolitan Statistical Area16860Chattanooga, TN-GA, Metropolitan Statistical Area16980Chicago-Naperville-Elgin, IL-IN-WI, Metropolitan Statistical Area17140Cincinnati, OH-KY-IN, Metropolitan Statistical Area17200Claremont-Lebanon, NH-VT, Micropolitan Statistical Area17460Cleveland-Elyria, OH, Metropolitan Statistical Area17780College Station-Bryan, TX, Metropolitan Statistical Area17820Colorado Springs, CO, Metropolitan Statistical Area17900Columbia, SC, Metropolitan Statistical Area

MMSANumberMMSA Name18140Columbus, OH, Metropolitan Statistical Area18580Corpus Christi, TX, Metropolitan Statistical Area18880Crestview-Fort Walton Beach-Destin, FL, Metropolitan Statistical Area19060Cumberland, MD-WV, Metropolitan Statistical Area19124Dallas-Plano-Irving, TX, Metropolitan Division19380Dayton, OH, Metropolitan Statistical Area19660Deltona-Daytona Beach-Ormond Beach, FL, Metropolitan Statistical Area19740Denver-Aurora-Lakewood, CO, Metropolitan Statistical Area19780Des Moines-West Des Moines, IA, Metropolitan Statistical Area20260Duluth, MN-WI, Metropolitan Statistical Area20524Dutchess County-Putnam County, NY, Metropolitan Division21340El Paso, TX, Metropolitan Statistical Area22020Fargo, ND-MN, Metropolitan Statistical Area22220Fayetteville-Springdale-Rogers, AR-MO, Metropolitan Statistical Area23060Fort Wayne, IN, Metropolitan Statistical Area23104Fort Worth-Arlington, TX, Metropolitan Division23540Gainesville, FL, Metropolitan Statistical Area24020Glens Falls, NY, Metropolitan Statistical Area24220Grand Forks, ND-MN, Metropolitan Statistical Area24260Grand Island, NE, Metropolitan Statistical Area24340Grand Rapids-Wyoming, MI, Metropolitan Statistical Area24860Greenville-Anderson-Mauldin, SC, Metropolitan Statistical Area25180Hagerstown-Martinsburg, MD-WV, Metropolitan Statistical Area25540Hartford-West Hartford-East Hartford, CT, Metropolitan Statistical Area25940Hilton Head Island-Bluffton-Beaufort, SC, Metropolitan Statistical Area26420Houston-The Woodlands-Sugar Land, TX, Metropolitan Statistical Area26580Huntington-Ashland, WV-KY-OH, Metropolitan Statistical Area26900Indianapolis-Carmel-Anderson, IN, Metropolitan Statistical Area27140Jackson, MS, Metropolitan Statistical Area27260Jacksonville, FL, Metropolitan Statistical Area28140Kansas City, MO-KS, Metropolitan Statistical Area28700Kingsport-Bristol-Bristol, TN-VA, Metropolitan Statistical Area28940Knoxville, TN, Metropolitan Statistical Area29620Lansing-East Lansing, MI, Metropolitan Statistical Area30700Lincoln, NE, Metropolitan Statistical Area30780Little Rock-North Little Rock-Conway, AR, Metropolitan Statistical Area30860Logan, UT-ID, Metropolitan Statistical Area31080Los Angeles-Long Beach-Anaheim, CA, Metropolitan Statistical Area

MMSANumberMMSA Name31140Louisville/Jefferson County, KY-IN, Metropolitan Statistical Area32820Memphis, TN-MS-AR, Metropolitan Statistical Area33100Miami-Fort Lauderdale-West Palm Beach, FL, Metropolitan Statistical Area33340Milwaukee-Waukesha-West Allis, WI, Metropolitan Statistical Area33460Minneapolis-St. Paul-Bloomington, MN-WI, Metropolitan Statistical Area33500Minot, ND, Micropolitan Statistical Area33874Montgomery County-Bucks County-Chester County, PA, Metropolitan Division34820Myrtle Beach-Conway-North Myrtle Beach, SC-NC, Metropolitan ro--Franklin, TN, Metropolitan StatisticalArea35004Nassau County-Suffolk County, NY, Metropolitan Division35084Newark, NJ-PA, Metropolitan Division35380New Orleans-Metairie, LA, Metropolitan Statistical Area35614New York-Jersey City-White Plains, NY-NJ, Metropolitan Division35740Norfolk, NE, Micropolitan Statistical Area35820North Platte, NE, Micropolitan Statistical Area35840North Port-Sarasota-Bradenton, FL, Metropolitan Statistical Area36084Oakland-Hayward-Berkeley, CA, Metropolitan Division36260Ogden-Clearfield, UT, Metropolitan Statistical Area36420Oklahoma City, OK, Metropolitan Statistical Area36540Omaha-Council Bluffs, NE-IA, Metropolitan Statistical Area36740Orlando-Kissimmee-Sanford, FL, Metropolitan Statistical Area37460Panama City, FL, Metropolitan Statistical Area37860Pensacola-Ferry Pass-Brent, FL, Metropolitan Statistical Area37964Philadelphia, PA, Metropolitan Division38060Phoenix-Mesa-Scottsdale, AZ, Metropolitan Statistical Area38300Pittsburgh, PA, Metropolitan Statistical Area38860Portland-South Portland, ME, Metropolitan Statistical Area38900Portland-Vancouver-Hillsboro, OR-WA, Metropolitan Statistical Area38940Port St. Lucie, FL, Metropolitan Statistical Area39300Providence-Warwick, RI-MA, Metropolitan Statistical Area39340Provo-Orem, UT, Metropolitan Statistical Area39580Raleigh, NC, Metropolitan Statistical Area39660Rapid City, SD, Metropolitan Statistical Area39900Reno, NV, Metropolitan Statistical Area40060Richmond, VA, Metropolitan Statistical Area40140Riverside-San Bernardino-Ontario, CA, Metropolitan Statistical Area40340Rochester, MN, Metropolitan Statistical Area

MMSANumberMMSA Name40380Rochester, NY, Metropolitan Statistical Area40484Rockingham County-Strafford County, NH, Metropolitan Division40900Sacramento--Roseville--Arden-Arcade, CA, Metropolitan Statistical Area41060St. Cloud, MN, Metropolitan Statistical Area41180St. Louis, MO-IL, Metropolitan Statistical Area41420Salem, OR, Metropolitan Statistical Area41540Salisbury, MD-DE, Metropolitan Statistical Area41620Salt Lake City, UT, Metropolitan Statistical Area41700San Antonio-New Braunfels, TX, Metropolitan Statistical Area41884San Francisco-Redwood City-South San Francisco, CA, Metropolitan Division41940San Jose-Sunnyvale-Santa Clara, CA, Metropolitan Statistical Area41980San Juan-Carolina-Caguas, PR, Metropolitan Statistical Area42420Scottsbluff, NE, Micropolitan Statistical Area42644Seattle-Bellevue-Everett, WA, Metropolitan Division43524Silver Spring-Frederick-Rockville, MD, Metropolitan Division43580Sioux City, IA-NE-SD, Metropolitan Statistical Area43620Sioux Falls, SD, Metropolitan Statistical Area43900Spartanburg, SC, Metropolitan Statistical Area44060Spokane-Spokane Valley, WA, Metropolitan Statistical Area44140Springfield, MA, Metropolitan Statistical Area45060Syracuse, NY, Metropolitan Statistical Area45220Tallahassee, FL, Metropolitan Statistical Area45300Tampa-St. Petersburg-Clearwater, FL, Metropolitan Statistical Area45780Toledo, OH, Metropolitan Statistical Area45820Topeka, KS, Metropolitan Statistical Area46140Tulsa, OK, Metropolitan Statistical Area46220Tuscaloosa, AL, Metropolitan Statistical Area46540Utica-Rome, NY, Metropolitan Statistical Area47260Virginia Beach-Norfolk-Newport News, VA-NC, Metropolitan Statistical Area47664Warren-Troy-Farmington Hills, MI, Metropolitan Division47894Washington-Arlington-Alexandria, DC-VA-MD-WV, Metropolitan Division48620Wichita, KS, Metropolitan Statistical Area48660Wichita Falls, TX, Metropolitan Statistical Area48864Wilmington, DE-MD-NJ, Metropolitan Division49340Worcester, MA-CT, Metropolitan Statistical Area

Appendix B: Sample Codes for AnalysisSUDAAN Code Example:Generating an estimate for the Atlanta-Sandy Springs-Roswell, GA, Metropolitan Statistical Area(MMSA code 12060).proc sort data xxxx;by STSTR SEQNO;run;proc descript data xxxx filetype sas design wr;nest STSTR SEQNO / missunit;weight MMSAWT;subpopn MMSA 12060 / name ” Atlanta-Sandy Springs-Roswell, GA”;var (your analysis variable);catlevel (the level of your analysis variable for which you want an estimate);run;SAS Code Example:proc surveymeans data xxxx nobs mean stderr sum sumwgt;strata ststr;weight mmsawt;var (your analysis variable);class (your analysis variable);domain mmsa;run;

MMSAs were selected in the SMART BRFSS MMSA data if there were 500 or more respondents in the 2016 BRFSS combined landline telephone and cellular telephone data. . 32820 Memphis, TN-MS-AR, Me

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