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        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. Type 508 Accommodation and the title of the report in the subject line of e-mail.

        Eligibility and Enrollment in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) — 27 States and New York City, 2007–2008

        The national Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides nutrition education, growth monitoring, breastfeeding promotion and support, and food to low-income pregnant or postpartum women, infants, and children aged <5 years. Several studies have linked WIC services with improved maternal and infant health outcomes (1–3). Most population-based studies have lacked information needed to identify eligible women who are not receiving WIC services and might be at risk for poor health outcomes. This report uses multistate, population-based 2007–2008 survey data from CDC's Pregnancy Risk Assessment Monitoring System (PRAMS) and California's Maternal and Infant Health Assessment (MIHA) to estimate how many women were eligible but not enrolled in WIC during pregnancy and to describe their characteristics and their prevalence of markers of risk for poor maternal or infant health outcomes (4–6). Approximately 17% of all women surveyed were eligible but not enrolled in WIC during pregnancy. The proportion of women eligible for WIC and WIC participation rates varied by state. WIC participants had higher prevalences of markers of risk for poor maternal or infant health outcomes than eligible nonparticipants, but both groups had higher prevalences of risk markers than ineligible women, suggesting that many eligible women and their children might benefit from WIC services. The results of this analysis can help identify the scope of WIC outreach needed to include more eligible nonparticipants in WIC and whom to target.

        This study's sample included 71,267 women who participated in CDC's PRAMS survey in 26 states and New York City, and 6,435 women who participated in California's MIHA during 2007 or 2008 (Table 1). The two separate surveillance systems, PRAMS and MIHA, conduct annual, population-based mail surveys of women with recent live births sampled from birth certificates, with telephone follow-up of nonrespondents. The surveys used in this study include many similar questions, use similar methods (7), and have response rates of at least 65%.

        Women reporting WIC participation at any time during their most recent pregnancies were classified as WIC participants. WIC eligibility requires a household income ≤185% of the federal poverty level (FPL)* or participation in another program (e.g., Medicaid) with similar income criteria. WIC nonparticipants were considered eligible if they reported incomes ≤185% FPL in the survey or if the birth certificate indicated Medicaid payment for prenatal care or delivery. Nonparticipants in WIC or Medicaid with incomes >185% FPL were considered ineligible. Women with missing information on WIC enrollment, insurance, or income (n = 1,653) were excluded, yielding a final sample of 76,049 women, which is representative of a total of 4,023,136 live births to resident women in these states, approximately half of all births in the United States during 2007–2008.

        WIC participants and eligible nonparticipants as a proportion of all women delivering a live infant and as a percentage of all eligible women delivering a live birth were examined overall, then in each state. In the overall sample, WIC participants, eligible nonparticipants, and ineligible women were then compared on social characteristics important for targeting programs (e.g., race/ethnicity and language) or for assessing potential need for WIC services, as indicated by well-documented markers of risk for adverse maternal or infant health outcomes (4–6) (Table 2). Markers of risk included 1) having less than a high school education or being aged <18 years, 2) having delivered four or more live infants, 3) being unmarried at time of delivery, 4) being poor (income ≤100% FPL), 5) having Medicaid or no health-care coverage before pregnancy, 6) having no prenatal care in the first or second trimester, 7) having an unintended pregnancy, 8) being either underweight or obese before pregnancy, 9) smoking before pregnancy, and 10) having a history of delivering an infant preterm (before 37 weeks completed gestation) or of low birth weight (<2,500 g) (4,5). Finally, the percentage of women in each group with one, two, three, or four or more of the risk markers was examined. Prenatal health-care coverage was not included in the sum of the risk markers because it was used to define the WIC groups (Table 2). All estimated counts, percentages, and 95% confidence intervals were weighted to represent all live births in the participating states using statistical survey procedures that account for complex sample design.

        Among all women surveyed, 46% were WIC participants, approximately 17% were classified as eligible nonparticipants (Table 1), and 37% were classified as ineligible (Table 2). Variation by state was evident in the percentage of all women delivering a live infant who were enrolled in WIC during pregnancy, from a low of 28% in Utah to a high of 57% in Oklahoma, and in the percentage of all women classified as WIC-eligible but who were not enrolled, from a low of 11% in Rhode Island to a high of 31% in Utah (Table 1). The proportion of all eligible women enrolled in WIC was approximately 74% overall, varying from a low of 48% in Utah to a high of 83% in California (Table 1).

        Nearly one fifth (19%) of WIC participants were non-Hispanic blacks and 39% were Hispanics, compared with 14% and 21% of eligible nonparticipants and 5% and 7% of ineligible women, respectively (Table 2). Conversely, WIC participants included a lower proportion of non-Hispanic white women (35%) than was found among eligible nonparticipants (57%), or among ineligible women (76%). Approximately 25% of WIC participants completed the survey in Spanish, compared with 12% of eligible nonparticipants and <2% of ineligible women.

        Overall, the risk characteristics of WIC participants and eligible nonparticipants differed from those of ineligible women (Table 2). WIC participants generally appeared to be at greater social and economic disadvantage, as measured by indicators of risk for delivering a preterm or low birth weight infant, than were eligible nonparticipants. WIC participants and eligible nonparticipants were more disadvantaged than ineligible women, as reflected by their low incomes and the proportion of women who had <12 years of education, were aged <18 years, had four or more live births, were unmarried, had Medicaid or no health-care coverage before pregnancy, or initiated prenatal care in the third trimester or not at all (Table 2). WIC participants and eligible nonparticipants also had higher prevalences of other health risks than ineligible women, as reflected, for example, by prepregnancy obesity, smoking before pregnancy, and a previous low birth weight or preterm birth.

        WIC participants and eligible nonparticipants appeared to be at risk for poor maternal or infant outcomes, based on markers of risk (Table 2). Approximately 91% of eligible nonparticipants had at least one risk marker, and 75% reported at least two markers, compared with 97% and 90% of WIC participants, respectively. Among eligible nonparticipants, 36% reported four or more risk markers, compared with 54% of WIC participants. WIC-ineligible women reported markedly fewer risk characteristics than women in the other two groups.

        Reported by

        Kristen S. Marchi, MPH, Paula A. Braveman, MD, Dept of Family and Community Medicine, Univ of California, San Francisco; Katie Martin, PhD, Michael Curtis, PhD, Maternal, Child and Adolescent Health Program, California Dept of Public Health. Tonya Stancil, PhD, Leslie Harrison, MPH, Div of Reproductive Health, CDC. Corresponding contributor: Kristen S. Marchi, marchik@fcm.ucsf.edu, 415-476-8188.

        Editorial Note

        The results of this analysis indicate that, although WIC covered most eligible women overall and in many states during 2007–2008, an estimated 662,800 eligible women were not enrolled in WIC in the 27 states examined. The proportion of eligible women who were enrolled in WIC varied widely by state. Overall, the findings indicate that WIC is enrolling high-risk women and reveal that most eligible nonparticipants also have social and economic characteristics that repeatedly have been linked to adverse maternal or infant health outcomes. In addition, WIC participants and eligible nonparticipants have higher rates of other health risks, such as prepregnancy obesity and previous poor birth outcomes, than ineligible women. Three quarters of eligible nonparticipants had two or more markers of risk; more than one third had four or more. Although WIC's services cannot address all relevant risks, promoting and supporting more adequate nutrition might improve some health outcomes among vulnerable women and their children during the critical periods of pregnancy and infancy, with potentially lifelong benefits (8–10). Referrals by WIC to outside services, such as prenatal care and smoking cessation programs, also could benefit women, infants and children in the long run.

        The findings in this report are subject to at least four limitations. First, the study relied on unverified self-reports of income and WIC participation. Second, PRAMS and MIHA measure average income over 1 year, which might underestimate WIC eligibility. Third, health-care coverage can change during pregnancy, affecting the ability to determine eligibility for WIC. Finally, although survey response rates were at least 65%, differences might exist between the respondents and nonrespondents. This concern was mitigated through nonresponse weighting of the survey data, by which differing weights were assigned to demographic groups with significantly different response rates.

        The large size of the WIC-eligible population reflects levels of poverty (<100% FPL) and near-poverty (101%–185% FPL) around the time of pregnancy, confirming previous findings that many women giving birth in the United States are poor or near-poor (7). Given current economic conditions, it is possible that many women and infants continue to be socioeconomically vulnerable and hence in need of WIC services. These multistate findings suggest that expanded outreach to eligible nonparticipants should be considered. The information in this study can help identify the scope of WIC outreach needed and whom to target.

        Acknowledgments

        Susan Egerter, PhD, Univ of California, San Francisco; Carina Saraiva, MPH, Maternal, Child and Adolescent Health Program, California Dept of Public Health. Brian Morrow, MA, Div of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, CDC.

        References

        1. Foster EM, Jiang M, Gibson-Davis CM. The effect of the WIC program on the health of newborns. Health Serv Res 2010;45:1083–104.
        2. Bitler MP, Currie J. The changing association between prenatal participation in WIC and birth outcomes in New York City: what does it mean? J Policy Anal Manage 2005;24:687–90.
        3. Kowaleski-Jones L, Duncan GJ. Effects of participation in the WIC program on birthweight: evidence from the National Longitudinal Survey of Youth. Special Supplemental Nutrition Program for Women, Infants, and Children. Am J Public Health 2002;92:799–804.
        4. Blumenshine P, Egerter S, Barclay CJ, Cubbin C, Braveman PA. Socioeconomic disparities in adverse birth outcomes: a systematic review. Am J Prev Med 2010;39:263–72.
        5. Behrman RE, Butler AS, eds. Preterm birth: causes, consequences, and prevention. Washington, DC: National Academies Press; 2007.
        6. Kramer MS. Determinants of low birth weight: methodological assessment and meta-analysis. Bull World Health Organ 1987;65:663–737.
        7. Braveman P, Marchi K, Egerter S, et al. Poverty, near-poverty, and hardship around the time of pregnancy. Matern Child Health J 2010;14:20–35.
        8. Laraia BA, Siega-Riz, AM, Gunderson C. Household food insecurity is associated with self-reported pregravid weight status, gestational weight gain, and pregnancy complications. J Am Diet Assoc 2010;110:692–701.
        9. Shapira N. Prenatal nutrition: a critical window of opportunity for mother and child. Womens Health 2008;4:639–56.
        10. Lu MC, Kotelchuck M, Hogan V, Jones L, Wright K, Halfon N. Closing the black-white gap in birth outcomes: a life-course approach. Ethn Dis 2010;20(1 Suppl 2):S2-62–76.

        * FPL for a family of four was $20,650 in 2007 and $21,200 in 2008, and 185% of FPL was $38,203 in 2007 and $39,220 in 2008. Additional information on WIC eligibility requirements is available at http://www.fns.usda.gov/wic. Additional information on the FPL is available at http://aspe.hhs.gov/poverty/figures-fed-reg.cfm.


        What is already known on this topic?

        The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides nutrition education, growth monitoring, breastfeeding promotion and support, and food to low-income pregnant or postpartum women, infants, and children aged <5 years. Several studies have linked WIC services with improved maternal and infant health.

        What is added by this report?

        Among women from 27 states and New York City who participated in a survey of mothers who had recently delivered a live infant during 2007–2008, 46% were WIC participants and approximately 17% were classified as eligible nonparticipants. WIC participants generally were at greater social and economic disadvantage than were eligible nonparticipants, as measured by indicators of risk for delivering a preterm or low birth weight infant, but both groups were more disadvantaged than ineligible women.

        What are the implications for public health practice?

        Efforts to expand outreach to eligible non-WIC participants could improve maternal and infant health outcomes among low-income pregnant or postpartum women, infants, and children aged <5 years. The results of this analysis can help identify the scope of WIC outreach needed and whom to target.


        TABLE 1. Eligibility and enrollment in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in 27 states and New York City — Pregnancy Risk Assessment Monitoring System (PRAMS) and California Maternal and Infant Health Assessment (MIHA), 2007–2008

        State

        Sample size*

        Live births population

        WIC-eligible population

        WIC participants§

        Eligible nonparticipants§

        No.

        All women

        Eligible women

        No.

        All women

        Eligible women

        %

        (95% CI)

        %

        (95% CI)

        %

        (95% CI)

        %

        (95% CI)

        Overall

        76,049

        4,023,136

        2,526,026

        1,863,195

        46.3

        (45.8–46.9)

        73.8

        (73.1–74.4)

        662,831

        16.5

        (16.1–16.9)

        26.2

        (25.6–26.9)

        Alaska

        2,764

        21,528

        14,998

        10,386

        48.2

        (45.9–50.6)

        69.3

        (66.6–71.9)

        4,612

        21.4

        (19.4–23.4)

        30.7

        (28.1–33.4)

        Arkansas

        3,491

        75,415

        56,914

        42,762

        56.7

        (54.5–58.9)

        75.1

        (72.8–77.4)

        14,152

        18.8

        (16.9–20.6)

        24.9

        (22.6–27.2)

        California**

        6,272

        934,463

        604,330

        503,376

        53.9

        (52.7–55.0)

        83.3

        (82.1–84.5)

        100,954

        10.8

        (10.0 –11.6)

        16.7

        (15.5–17.9)

        Colorado

        4,036

        135,344

        76,100

        48,300

        35.7

        (33.5–37.8)

        63.5

        (60.6–66.4)

        27,800

        20.5

        (18.8–22.3)

        36.5

        (33.6–39.4)

        Delaware

        1,893

        18,611

        12,074

        8,607

        46.2

        (43.9–48.5)

        71.3

        (68.6–73.9)

        3,467

        18.6

        (16.8–20.5)

        28.7

        (26.1–31.4)

        Georgia

        1,750

        278,292

        205,092

        147,067

        52.8

        (49.2–56.5)

        71.7

        (67.8–75.6)

        58,024

        20.9

        (17.8–23.9)

        28.3

        (24.4–32.2)

        Hawaii

        3,386

        36,763

        24,746

        15,926

        43.3

        (41.7–45.0)

        64.4

        (62.4–66.3)

        8,820

        24.0

        (22.5–25.4)

        35.6

        (33.7–37.6)

        Illinois

        1,706

        169,046

        108,018

        76,584

        45.3

        (42.7–47.9)

        70.9

        (68.0–73.8)

        31,435

        18.6

        (16.6–20.6)

        29.1

        (26.2–32.0)

        Maryland

        3,271

        135,195

        74,503

        55,041

        40.7

        (38.1–43.4)

        73.9

        (70.6–77.1)

        19,462

        14.4

        (12.5–16.3)

        26.1

        (22.9–29.4)

        Maine

        2,238

        26,127

        16,290

        10,578

        40.5

        (38.1–42.9)

        64.9

        (62.0–67.9)

        5,712

        21.9

        (19.9–23.8)

        35.1

        (32.1–38.0)

        Michigan

        1,497

        119,636

        69,976

        52,060

        43.5

        (40.7–46.3)

        74.4

        (71.0–77.8)

        17,916

        15.0

        (12.9–17.1)

        25.6

        (22.2–29.0)

        Minnesota

        3,068

        137,628

        72,107

        55,689

        40.5

        (38.5–42.4)

        77.2

        (74.9–79.5)

        16,418

        11.9

        (10.6–13.2)

        22.8

        (20.5–25.1)

        Missouri

        1,371

        76,871

        51,144

        36,080

        46.9

        (43.7–50.1)

        70.5

        (66.8–74.3)

        15,063

        19.6

        (16.9–22.3)

        29.5

        (25.7–33.2)

        North Carolina

        3,005

        249,912

        163,375

        117,399

        47.0

        (44.8–49.1)

        71.9

        (69.4–74.3)

        45,976

        18.4

        (16.7–20.1)

        28.1

        (25.7–30.6)

        Nebraska

        3,140

        49,990

        29,220

        19,007

        38.0

        (36.1–40.0)

        65.0

        (62.4–67.7)

        10,214

        20.4

        (18.7–22.2)

        35.0

        (32.3–37.6)

        New Jersey

        3,003

        204,664

        103,236

        72,368

        35.4

        (33.8–37.0)

        70.1

        (67.7–72.5)

        30,868

        15.1

        (13.7–16.5)

        29.9

        (27.5–32.3)

        New York

        2,196

        229,011

        125,921

        92,420

        40.4

        (37.7–43.0)

        73.4

        (70.1–76.6)

        33,501

        14.6

        (12.7–16.5)

        26.6

        (23.4–29.9)

        Ohio

        2,938

        281,565

        176,193

        119,690

        42.5

        (40.1–44.9)

        67.9

        (65.0–70.9)

        56,502

        20.1

        (18.1–22.1)

        32.1

        (29.1–35.0)

        Oklahoma

        4,012

        103,957

        77,481

        59,617

        57.3

        (54.8–59.9)

        76.9

        (74.4–79.5)

        17,864

        17.2

        (15.2–19.2)

        23.1

        (20.5–25.6)

        Oregon

        3,434

        93,597

        60,053

        43,829

        46.8

        (44.2–49.4)

        73.0

        (70.0–76.0)

        16,224

        17.3

        (15.3–19.4)

        27.0

        (24.0–30.0)

        Rhode Island

        2,583

        22,579

        13,230

        10,812

        47.9

        (45.8–50.0)

        81.7

        (79.4–84.0)

        2,418

        10.7

        (9.3–12.1)

        18.3

        (16.0–20.6)

        South Carolina

        1,450

        57,711

        39,916

        28,770

        49.9

        (45.7–54.0)

        72.1

        (67.4–76.7)

        11,146

        19.3

        (15.9–22.7)

        27.9

        (23.3–32.6)

        Utah

        3,520

        106,320

        62,764

        29,842

        28.1

        (26.6–29.6)

        47.5

        (45.3–49.8)

        32,922

        31.0

        (29.3–32.7)

        52.5

        (50.2–54.7)

        Washington

        2,958

        170,591

        101,467

        73,829

        43.3

        (41.1–45.4)

        72.8

        (70.1–75.4)

        27,638

        16.2

        (14.4–18.0)

        27.2

        (24.6–29.9)

        Wisconsin

        2,028

        135,494

        77,409

        52,349

        38.6

        (36.4–40.9)

        67.6

        (64.6–70.7)

        25,060

        18.5

        (16.5–20.5)

        32.4

        (29.3–35.4)

        West Virginia

        1,744

        18,926

        14,025

        10,832

        57.2

        (53.9–60.6)

        77.2

        (73.9–80.6)

        3,193

        16.9

        (14.3–19.4)

        22.8

        (19.4–26.1)

        Wyoming

        1,849

        15,436

        9,426

        5,549

        35.9

        (33.5–38.4)

        58.9

        (55.7–62.1)

        3,878

        25.1

        (22.9–27.3)

        41.1

        (37.9–44.3)

        New York City

        1,446

        118,462

        86,020

        64,429

        54.4

        (51.1–57.7)

        74.9

        (71.5–78.3)

        21,592

        18.2

        (15.6–20.8)

        25.1

        (21.7–28.5)

        * Unweighted number of women who participated in the PRAMS and MIHA surveys.

        Population counts weighted to population of live births represented by the survey, adjusting for the sample design and nonresponse.

        § WIC participants reported that they were on WIC during pregnancy in the survey; eligible nonparticipants did not report that they were on WIC during pregnancy, but reported household incomes ≤185% of the federal poverty level in the survey or the birth certificate indicated Medicaid paid for prenatal care or delivery.

        Percentages and 95% confidence intervals (CIs) weighted to adjust for the sample design and nonresponse.

        ** California data are from MIHA; data for the other states are from PRAMS.


        TABLE 2. Characteristics of women in 27 states and New York City delivering live-born infants — Pregnancy Risk Assessment Monitoring System (PRAMS) and California Maternal and Infant Health Assessment (MIHA), 2007–2008

        Characteristic

        Total

        WIC participant§

        Eligible nonparticipant§

        Ineligible for WIC§

        No.*

        %

        (95% CI)

        No.*

        %

        (95% CI)

        No.*

        %

        (95% CI)

        No.*

        %

        (95% CI)

        Total

        76,049

        100

        (100–100)

        35,953

        46.3

        (45.8–46.9)

        13,680

        16.5

        (16.1–16.9)

        26,416

        37.2

        (36.7–37.7)

        Race/Ethnicity

        All non-Hispanic

        61,244

        75.6

        (75.2–76.0)

        25,566

        60.8

        (60.0–61.5)

        11,208

        79.1

        (77.9–80.2)

        24,470

        92.6

        (92.1–93.1)

        White

        38,464

        54.2

        (53.7–54.7)

        12,812

        35.4

        (34.6–36.1)

        6,962

        56.9

        (55.5–58.2)

        18,690

        76.4

        (75.6–77.1)

        Black

        11,596

        12.7

        (12.3–13.0)

        7,844

        18.8

        (18.2–19.5)

        2,136

        13.8

        (12.8–14.8)

        1,616

        4.6

        (4.2–4.9)

        Asian/Pacific Islander

        6,420

        6.4

        (6.1–6.6)

        1,982

        3.7

        (3.4–4.0)

        1,211

        5.8

        (5.2–6.4)

        3,227

        9.9

        (9.4–10.5)

        American Indian/Alaska Native

        3,041

        1.0

        (0.9–1.0)

        2,070

        1.4

        (1.3–1.6)

        562

        1.0

        (0.8–1.2)

        409

        0.4

        (0.3–0.5)

        Other/Mixed

        1,723

        1.7

        (1.5–1.9)

        858

        1.8

        (1.5–2.0)

        337

        2.0

        (1.5–2.4)

        528

        1.5

        (1.2–1.7)

        Hispanic

        13,819

        24.4

        (24.0–24.8)

        9,958

        39.2

        (38.5–40.0)

        2,314

        20.9

        (19.8–22.1)

        1,547

        7.4

        (6.9–7.9)

        White

        10,425

        20.3

        (19.9–20.7)

        7,537

        32.7

        (32.0–33.4)

        1,677

        16.9

        (15.8–18.0)

        1,211

        6.4

        (5.9–6.8)

        Black

        329

        0.5

        (0.4–0.6)

        246

        0.9

        (0.7–1.0)

        43

        0.4

        (0.2–0.5)

        40

        0.2

        (0.1–0.2)

        Other

        3,065

        3.6

        (3.4–3.8)

        2,175

        5.8

        (5.4–6.2)

        594

        3.7

        (3.2–4.3)

        296

        0.9

        (0.7–1.0)

        Survey language

        English

        68,387

        85.9

        (85.5–86.3)

        29,802

        75.1

        (74.4–75.8)

        12,436

        88.0

        (87.1–88.9)

        24,149

        98.4

        (98.2–98.6)

        Spanish

        7,659

        14.1

        (13.7–14.5)

        6,151

        24.9

        (24.2–25.6)

        1,241

        12.0

        (11.1–12.9)

        267

        1.6

        (1.4–1.8)

        Education (yrs)

        0–11

        14,541

        20.4

        (20.0–20.8)

        11,458

        35.3

        (34.6–36.0)

        2,664

        20.8

        (19.6–22.0)

        419

        1.7

        (1.5–2.0)

        12

        21,628

        28.0

        (27.5–28.5)

        13,732

        38.3

        (37.5–39.1)

        4,626

        34.8

        (33.5–36.2)

        3,270

        12.2

        (11.6–12.8)

        ≥13

        38,718

        51.7

        (51.1–52.2)

        10,133

        26.4

        (25.7–27.1)

        6,164

        44.3

        (42.9–45.7)

        22,421

        86.1

        (85.5–86.7)

        Age group (yrs)

        <18

        2,537

        3.1

        (2.8–3.3)

        2,077

        5.5

        (5.1–5.9)

        415

        2.7

        (2.3–3.2)

        45

        0.1

        (0.1–0.1)

        18–24

        23,697

        29.8

        (29.2–30.3)

        16,655

        45.5

        (44.6–46.3)

        4,900

        35.6

        (34.3–37.0)

        2,142

        7.6

        (7.1–8.1)

        25–39

        47,510

        64.4

        (63.9–65.0)

        16,578

        47.5

        (46.6–48.3)

        7,965

        58.9

        (57.5–60.3)

        22,967

        87.9

        (87.3–88.5)

        ≥40

        2,302

        2.8

        (2.6–2.9)

        642

        1.5

        (1.3–1.7)

        398

        2.7

        (2.3–3.1)

        1,262

        4.3

        (4.0–4.7)

        Total live births 

        1st live birth

        31,888

        41.2

        (40.6–41.7)

        14,852

        40.2

        (39.4–41.1)

        5,132

        37.2

        (35.8–38.6)

        11,904

        44.1

        (43.2–45.0)

        2nd–3rd birth

        35,209

        48.3

        (47.7–48.8)

        15,912

        46.3

        (45.4–47.1)

        6,346

        47.7

        (46.3–49.1)

        12,951

        50.9

        (50.0–51.8)

        4th birth or greater

        8,615

        10.6

        (10.2–10.9)

        5,025

        13.5

        (12.9–14.1)

        2,121

        15.1

        (14.1–16.1)

        1,469

        5.0

        (4.6–5.3)

        Not married at delivery

        29,988

        38.7

        (38.1–39.2)

        22,225

        62.3

        (61.5–63.1)

        5,911

        43.8

        (42.4–45.2)

        1,852

        7.1

        (6.6–7.6)

        Income as % of FPL

        0–100% FPL

        26,473

        32.2

        (31.6–32.7)

        20,852

        55.5

        (54.7–56.4)

        5,621

        39.1

        (37.7–40.5)

        0

        0.0

        101%–185% FPL

        14,584

        18.6

        (18.1–19.0)

        8,313

        23.6

        (22.9–24.4)

        6,271

        46.2

        (44.8–47.6)

        0

        0.0

        ≥185% FPL

        29,780

        41.8

        (41.3–42.4)

        2,563

        7.6

        (7.2–8.1)

        801

        6.7

        (6.0–7.4)

        26,416

        100.0

        Missing

        5,212

        7.4

        (7.1–7.8)

        4,225

        13.2

        (12.6–13.8)

        987

        8.0

        (7.1–8.9)

        0

        0.0

        Preconception health coverage

        Medicaid

        12,957

        17.7

        (17.3–18.1)

        10,423

        31.0

        (30.2–31.8)

        2,302

        17.4

        (16.4–18.5)

        232

        1.4

        (1.1–1.6)

        Private/Other

        40,098

        53.0

        (52.5–53.6)

        8,930

        23.2

        (22.5–23.9)

        6,051

        42.5

        (41.1–43.9)

        25,117

        94.6

        (94.2–95.0)

        Uninsured

        22,630

        29.3

        (28.7–29.8)

        16,340

        45.8

        (44.9–46.6)

        5,267

        40.1

        (38.7–41.5)

        1,023

        4.0

        (3.6–4.4)


        TABLE 2. (Continued) Characteristics of women in 27 states and New York City delivering live-born infants — Pregnancy Risk Assessment Monitoring System (PRAMS) and California Maternal and Infant Health Assessment (MIHA), 2007–2008

        Characteristic

        Total

        WIC participant§

        Eligible nonparticipant§

        Ineligible for WIC§

        No.*

        %

        (95% CI)

        No.*

        %

        (95% CI)

        No.*

        %

        (95% CI)

        No.*

        %

        (95% CI)

        Prenatal health-care coverage

        Medicaid/Medi-Cal

        32,244

        43.3

        (42.7–43.8)

        25,804

        75.9

        (75.1–76.6)

        6,440

        51.6

        (50.2–53.1)

        0

        0.0

        Private/Other

        36,545

        53.0

        (52.5–53.6)

        6,357

        20.1

        (19.5–20.8)

        5,161

        40.8

        (39.4–42.2)

        25,027

        98.2

        (98.0–98.4)

        Uninsured

        2,906

        3.7

        (3.5–4.0)

        1,429

        4.0

        (3.6–4.4)

        907

        7.6

        (6.7–8.4)

        570

        1.8

        (1.6–2.0)

        Prenatal care initiation

        No prenatal care

        1,016

        1.8

        (1.7–2.0)

        524

        2.3

        (2.0–2.6)

        358

        2.7

        (2.2–3.1)

        134

        0.9

        (0.7–1.0)

        1st trimester

        58,684

        82.3

        (81.9–82.8)

        25,519

        76.0

        (75.3–76.7)

        9,639

        75.2

        (73.9–76.4)

        23,526

        93.1

        (92.6–93.6)

        2nd trimester

        10,658

        13.6

        (13.3–14.0)

        6,764

        18.7

        (18.0–19.4)

        2,346

        18.4

        (17.3–19.5)

        1,548

        5.4

        (5.0–5.8)

        3rd trimester

        1,812

        2.2

        (2.1–2.4)

        1,111

        3.0

        (2.7–3.3)

        524

        3.8

        (3.3–4.3)

        177

        0.6

        (0.5–0.8)

        Unintended pregnancy

        31,752

        42.4

        (41.9–43.0)

        19,300

        55.8

        (55.0–56.7)

        6,738

        51.1

        (49.6–52.5)

        5,714

        22.1

        (21.3 -22.9)

        Prepregnancy BMI**

        Underweight (<18.5)

        3,568

        4.1

        (3.8–4.3)

        1,872

        4.4

        (4.0–4.7)

        792

        5.1

        (4.5–5.7)

        904

        3.2

        (2.9 -3.6)

        Normal (18.5–24.9)

        36,141

        48.1

        (47.6–48.7)

        14,695

        40.6

        (39.7–41.4)

        6,507

        47.4

        (45.9–48.8)

        14,939

        57.9

        (57.0–58.8)

        Overweight (25.0–29.9)

        17,094

        23.2

        (22.7–23.7)

        8,027

        23.5

        (22.8–24.2)

        3,075

        23.0

        (21.8–24.2)

        5,992

        23.0

        (22.2–23.7)

        Obese (≥30)

        14,662

        18.0

        (17.6–18.5)

        8,009

        21.0

        (20.3–21.7)

        2,499

        17.8

        (16.8–18.9)

        4,154

        14.4

        (13.7–15.0)

        Missing

        4,584

        6.6

        (6.3–6.8)

        3,350

        10.6

        (10.0–11.1)

        807

        6.7

        (5.9–7.4)

        427

        1.5

        (1.3–1.7)

        Preconception smoker

        17,207

        21.2

        (20.7–21.7)

        10,612

        27.5

        (26.7–28.3)

        3,614

        25.1

        (23.9–26.4)

        2,981

        11.8

        (11.2–12.4)

        Prior LBW or preterm birth††

        No previous live birth

        31,888

        42.7

        (42.1–43.3)

        14,852

        41.7

        (40.8–42.6)

        5,132

        38.7

        (37.3–40.1)

        11,904

        45.7

        (44.8–46.6)

        No LBW or preterm birth

        31,534

        48.1

        (47.5–48.6)

        14,409

        47.3

        (46.4–48.1)

        6,035

        50.7

        (49.3–52.1)

        11,090

        47.9

        (47.0–48.8)

        LBW and/or preterm birth

        8,651

        9.2

        (8.9–9.5)

        4,844

        11.1

        (10.5–11.6)

        1,814

        10.6

        (9.7–11.4)

        1,993

        6.4

        (5.9–6.8)

        Markers of risk§§

        One or more

        61,344

        79.1

        (78.7–79.5)

        34,970

        97.1

        (96.8–97.4)

        12,420

        90.7

        (90.0–91.5)

        13,954

        51.5

        (50.6–52.4)

        Two or more

        48,016

        61.2

        (60.7–61.7)

        32,470

        90.3

        (89.8–90.8)

        10,277

        75.1

        (73.9–76.3)

        5,269

        18.9

        (18.2–19.6)

        Three or more

        36,917

        46.7

        (46.1–47.2)

        27,653

        76.2

        (75.5–76.9)

        7,779

        56.9

        (55.5–58.3)

        1,485

        5.4

        (5.0–5.8)

        Four or more

        25,404

        31.2

        (30.7–31.8)

        20,044

        54.0

        (53.2–54.9)

        5,073

        36.0

        (34.6–37.4)

        287

        0.8

        (0.6–1.0)

        Abbreviations: CI = confidence interval; WIC = Special Supplemental Nutrition Program for Women, Infants, and Children; BMI = body mass index; LBW = low birth weight; FPL = federal poverty level.

        * Unweighted number of women who participated in the PRAMS and MIHA surveys.

        Percentages and 95% CIs weighted to adjust for sample design and nonresponse.

        § WIC participants reported that they were on WIC during pregnancy in the survey; eligible nonparticipants did not report that they were on WIC during pregnancy, but reported household incomes ≤185% of the FPL in the survey or the birth certificate indicated Medicaid paid for prenatal care or delivery; nonparticipants in WIC or Medicaid with incomes >185% FPL were considered ineligible for WIC.

        Incomes ≤185% FPL are WIC-eligible.

        ** BMI calculated as (weight [kg] / height [m]2) where values 0–18.49 = underweight, 18.5–24.9 = healthy weight, 25–29.9 = overweight, and ≥30 = obese.

        †† Low birth weight = less than 5 pounds, 8 ounces (<2,500 g); preterm birth is before 37 weeks gestation.

        §§ Markers of risk include either age <18 years or <12 years of education (composite variable); 4th live birth or greater; not married; poor; Medicaid or uninsured before pregnancy; unintended pregnancy; underweight or obese before pregnancy; prenatal smoking; and any history of prior poor birth outcome.



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