All ūce 824 68 412 TABLE III. Deaths in 122 U.S. cities,' week ending March 29, 2008 (13th Week) All causes, by age (years) PH Reporting Area Ages >65 45-64 25-44 1-24 <1 Total Reporting Area Ages >65 45-64 25-44 1-24 Total New England 635 464 122 27 7 14 79 S. Atlantic 1,086 708 259 68 35 15 Boston, MA 129 81 30 9 2 6 18 Atlanta, GA 1 Bridgeport, CT 35 22 12 4 8 5 2 Cambridge, MA 12 10 2 2. Charlotte, NC 102 64 28 5 3 2 Fall River, MA 31 27 3 1 1 Hartford, CT 63 37 19 1 1 Lowell, MA 33 24 5 5 3 2 Lynn, MA 12 1 2. 1 1 New Bedford, MA 35 27 7 1 5 2 New Haven, CT 43 37 3 12 66 47 7 3 Providence, RI 80 67 8 7 2. Somerville, MA 2 1 U U U U 49 36 11 15 1 Waterbury, CT 34 27 1 5 E.S. Central 1,022 689 222 69 23 18 Birmingham, AL 197 132 45 17 2 1 Mid. Atlantic 2,180 1,554 438 101 46 37 131 Chattanooga, TN 6 3 Albany, NY 54 41 7 Knoxville, TN 8 4 3 Allentown, PA 28 24 2 1 1 79 51 18 1 Buffalo, NY 74 57 12 3 2 8 1 11 Camden, NJ 32 19 9 2 1 1 119 67 39 9 2 2 11 Elizabeth, NJ 25 16 6 1 42 19 4 1 2 Erie, PA 52 40 11 1 5 8 Jersey City, NJ 26 13 10 1 2 2 New York City, NY 1,114 801 219 W.S. Central 52 27 12 48 1,676 1,076 118 36 33 Newark, NJ 46 24 13 Austin, TX 4 122 79 1 2 28 4 Paterson, NJ 27 22 Baton Rouge, LA 53 34 2 Philadelphia, PA 247 142 66 17 Corpus Christi, TX 13 62 8 48 12 11 2 Dallas, TX 218 120 61 25 10 2 Reading, PA 34 28 El Paso, TX 141 104 1 3 1 21 10 4 Rochester, NY 139 112 21 Fort Worth, TX 147 103 17 36 3 3 Schenectady, NY 26 22 Houston, TX 4 285 158 81 34 Scranton, PA 33 30 Little Rock, AR 3 85 4 53 19 9 Syracuse, NY 115 83 26 New Orleans, LAI U U U U Trenton, NJ 23 15 San Antonio, TX 5 295 2 202 77 10 4 Utica, NY 14 Shreveport, LA 108 73 18 9 2 6 Yonkers, NY 21 14 5 Tulsa, OK 160 47 7 2 2 16 E.N. Central 2,456 Mountain 1,605 591 142 44 74 204 1,316 891 276 83 32 30 Akron, OH 64 39 16 4 144 107 25 9 2 15 Canton, OH 61 40 17 1 Boise, ID 3 7 68 15 6 5 11 Chicago, IL 390 251 Colorado Springs, CO 95 28 6 10 45 43 16 1 10 2 Cincinnati, OH 122 74 25 Denver, CO 114 8 30 2 13 68 18 10 4 Cleveland, OH 316 Las Vegas, NV 291 195 69 19 3 23 Columbus, OH 214 131 59 14 3 7 4 Ogden, UT 30 22 22 1 Dayton, OH 148 Phoenix, AZ 203 14 132 43 10 6 9 Detroit, MI 216 99 67 38 Pueblo, CO 25 3 3 1 Evansville, IN 59 46 11 Salt Lake City, UT 138 1 2 1 86 33 8 7 4 14 Fort Wayne, IN 89 57 26 Tucson, AZ 192 143 38 8 2 1 15 Gary, IN 15 1 1,799 1,278 354 99 43 24 16 Grand Rapids, MI 34 24 7 1 1 19 10 8 1 8 1 Lansing, MI 55 36 15 4 2 20 17 3 4 1 5 87 55 16 11 2 9 Rockford, IL 62 53 3 276 193 48 14 17 4 South Bend, IN 59 40 15 3 15 4 6 9 5 9 2 2 23 W.N. Central 640 451 122 34 16 16 San Diego, CA 70 174 122 37 8 1 Des Moines, IA 76 61 San Francisco, CA 126 81 31 11 3 Duluth, MN 48 36 9 San Jose, CA 189 8 144 34 5 Kansas City, KS 23 18 3 2 32 26 4 2 Kansas City, MO 104 71 23 Seattle, WA 122 76 30 8 4 Lincoln, NE 33 23 10 Spokane, WA 66 53 9 1 2 Minneapolis, MN 77 46 13 10 5 Tacoma, WA 87 9 18 3 5 3 6 12,810** 8,716 2,796 741 282 261 1.088 St. Louis, MO 34 16 9 2 3 St. Paul, MN 64 53 7 1 3 12 Wichita, KS 80 57 14 7 1 1 6 U: Unavailable. -:No reported cases. * Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 2100,000. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. * Pneumonia and influenza. 5 Because of changes in reporting methods in this Pennsylvania city, these numbers are partial counts for the current week. Complete counts will be available in 4 to 6 weeks 1 Because of Hurricane Katrina, weekly reporting of deaths has been temporarily disrupted. ** Total includes unknown ages. 102 97 76 31 20 சபை 2 க க B = | 5 S டாக 113 Prevalence of Self-Reported Postpartum Depressive Symptoms 17 States, 2004-2005 Postpartum depression (PPD) affects 10%-15% of mothers these 17 states included two questions on self-reported PDS ithin the first year after giving birth (1). Younger moth- in their PRAMS surveys: 1) “Since your new baby was born, s and those experiencing partner-related stress or physi- how often have you felt down, depressed, or hopeless?" and I abuse might be more likely to develop PPD (2,3). CDC 2) “Since your new baby was born, how often have you had ialyzed data from the Pregnancy Risk Assessment Moni- little interest or little pleasure in doing things?” The ring System (PRAMS) for 2004–2005 (the most recent response choices were “always,” “often,” “sometimes,” ita available) to 1) assess the prevalence of self-reported “rarely,” and “never”; women who said “often” or “always” pstpartum depressive symptoms (PDS) among mothers to either question were classified as experiencing selfy selected demographic characteristics and other possible reported PDS. Because of their high sensitivity (96%), these sk factors for PDS and 2) determine factors that identify two questions have been recommended as a depression case others most likely to develop PPD. This report summa- finding instrument by health professionals (5,6). Chi-square zes the results of that analysis, which indicated that, dur- tests were used to test for significant differences (p<0.05) ig 2004–2005, the prevalence of self-reported PDS in 17 in the proportion of women reporting PDS by demographic .S. states* ranged from 11.7% (Maine) to 20.4% (New characteristics and other possible risk factors for PDS within lexico). Younger women, those with lower educational each of the 17 states; approximate 95% confidence interItainment, and women who received Medicaid benefits vals for these proportions were calculated. To measure the br their delivery were more likely to report PDS. State and strength of the association overall, the median difference pcal health departments should evaluate the effectiveness across all states in the proportion of women reporting PDS f targeting mental health services to these mothers and between two levels of each covariate was calculated. Sample ncorporating messages about PPD into existing programs -G., domestic violence services) for women at higher risk. * Confidence intervals are approximate because, when adjusting for the clustered PRAMS is an ongoing, state-specific, population-based survey design, the confidence intervals computed were close to but not equal to +1.96 x standard error. prveillance project that collects self-reported information n maternal attitudes and experiences before, during, and INSIDE fter delivery of a live infant. PRAMS is administered by !DC in collaboration with participating states and cities 366 Preliminary FoodNet Data on the Incidence of Infection with Pathogens Transmitted Commonly Through Food ad is designed to be representative of women in partici 10 States, 2007 ating states who have delivered during the preceding 2–6 370 Malnutrition and Micronutrient Deficiencies Among tonths (4). Response rates were 270% for 2004 and 2005 Bhutanese Refugee Children — Nepal, 2007 I each of the 17 participating states. During 2004–2005, 373 Automated Detection and Reporting of Notifiable Diseases Using Electronic Medical Records Versus Passive Surveillance -- Massachusetts, June 2006-July 2007 Maska, Colorado, Georgia, Hawaii, Maryland, Maine, Minnesota, North Carolina, 376 Notice to Readers Nebraska, New Mexico, New York (excluding New York City), Oregon, Rhode 377 QuickStats sland, South Carolina, Utah, Vermont, and Washington. DEPARTMENT OF HEALTH AND HUMAN SERVICES CENTERS FOR DISEASE CONTROL AND PREVENTION The MMWR series of publications is published by the Coordinating Director Chief Science Officer Steven L. Solomon, MD Jay M. Bernhardt, PhD, MPH Katherine L. Daniel, PhD Frederic E. Shaw, MD, JD Teresa F. Rutledge Douglas W. Weatherwax Jude C. Rutledge Writers-Editors Peter M. Jenkins Lynda G. Cupell Malbea A. LaPete Erica R. Shaver sizes varied for each estimate because women who wa. missing data on any variable (<5% of all women) e excluded from analysis of that variable. The analysis a conducted using statistical software to adjust for the cos plex survey design and produce statewide estimates. Esri mates based on small sample sizes (fewer than : respondents) were considered to be unreliable. The maternal characteristics analyzed included age a delivery, race/ethnicity, education, marital status, a. receipt of Medicaid for delivery. Possible risk factors for PL included in the analysis were low infant birth weig (<2,500 g), admission to a neonatal intensive-care un (NICU), number of previous live births, tobacco use du ing the last 3 months of pregnancy, physical abuse befo or during pregnancy, and experiencing emotional, fina cial, partner-related, or traumatic stress during the months before delivery. Women were considered physical abused if they said that a current or former husbaru partner had pushed, hit, slapped, kicked, choked, or phu cally hurt them in any way during the 12 months before or during the most recent pregnancy. Women who reporte smoking one or more cigarettes on an average day were classified as using tobacco during the last 3 months pregnancy. During 2004–2005, overall prevalence of self-reporici PDS ranged from 11.7% (Maine) to 20.4% (New Mexico (Table 1). Demographic characteristics significantly assciated with PDS in all of the 17 states were maternal ag: marital status, maternal education, and Medicaid covera: for delivery. Among the 17 states, the median percentag point difference in PDS prevalence was 13.4 percentan points between the youngest and oldest mothers, 134 between the lowest and highest education groups, 9.7 b marital status, and 11.0 by Medicaid receipt. In 13 of the 16 states for which data were available, a significant asse ciation was observed between race/ethnicity and PDS, with non-Hispanic white women having a lower prevalence PDS compared with women of other racial/ethnic group PDS was significantly associated with five possible risk factors in all or nearly all of the 17 states (Table 2). Thi number of states with significant associations and state Editorial Board William L. Roper, MD, MPH, Chapel Hill, NC, Chairman Virginia A. Caine, MD, Indianapolis, IN David W. Fleming, MD, Seattle, WA John K. Iglehart, Bethesda, MD Stanley A. Plotkin, MD, Doylestown, PA Barbara K. Rimer, DrPH, Chapel Hill, NC Anne Schuchat, MD, Atlanta, GA John W. Ward, MD, Atlanta, GA $ Stressors during pregnancy were categorized as 1) emotional (a very sick for? member had to go into the hospital or someone close to the respondent died financial (the respondent moved to a new address, her husband/partner lose in job, she lost her job, or she had a lot of bills she could not pay; 3) partner-relea (the respondent separated or divorced from her husband/partner, she argumore than usual with her husband/partner, or her husband/partner said he was not want her to be pregnant); and 4) traumatic (the respondent was homes she was involved in a physical fight, she or her husband/partner went to jail. someone close to her had a problem with drinking/drugs). |
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