Abstract
The effects of the COVID-19 pandemic restricted the availability of healthcare and social services. This retrospective study reports WIC enrollment rates and presents descriptive data on prenatal care access and selected maternal health conditions among pregnant women in Florida before and during the COVID-19 pandemic. Using birth data linking maternal and infant characteristics from the Florida Department of Health Bureau of Vital Statistics, we examined birth records from 1 January 2019 to 31 December 2020 related to women ranging from 11 to 59 years of age who received WIC. The descriptive results show that WIC recipients had higher rates of inadequate prenatal care and adverse maternal health outcomes during the pandemic. Logistic regression results show that the odds of receiving inadequate prenatal care increased by 24% (OR = 1.24, p < 0.001), the odds of experiencing gestational diabetes by 9% (OR = 1.09, p < 0.001), and the odds of experiencing gestational hypertension by 10% (OR = 1.10, p < 0.001). Further research is needed to evaluate how specific WIC services influence maternal outcomes, particularly during public health emergencies.
Keywords: WIC programs, COVID-19 pandemic, prenatal care, gestational diabetes, gestational hypertension
1. Introduction
The COVID-19 pandemic disrupted healthcare systems and social safety nets, with significant implications for maternal and infant health. Across the United States, the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) serves as a critical lifeline for low-income pregnant and postpartum individuals, infants, and young children. This nutrition program protects at-risk populations from nutrition and health-related problems such as food insecurity [1], obesity [2], and unhealthy birth outcomes [3]. However, since March 2020, the effects of the COVID-19 pandemic have placed additional financial stress on households, creating an even greater need for nutritional support programs [4,5].
1.1. WIC’s Role in Nutritional and Healthcare Support
Families living in lower-income communities face increasing challenges related to insufficient access to food-related resources [6]. Among these low-income populations, pregnant women face the highest risk due to their need to stay healthy for both themselves and their developing fetus. WIC provides food vouchers, nutritional education, breastfeeding support, and referrals to healthcare services [7]. Prior studies demonstrate its efficacy in reducing rates of preterm birth, low birth weight, and infant mortality. WIC participation is associated with improved dietary intake of essential nutrients (e.g., iron, calcium) during pregnancy and enhanced access to prenatal care [8]. A research brief from the Robert Wood Johnson Foundation reported that a USD 1 investment in WIC yields an estimated USD 2.48 in healthcare savings by preventing adverse birth outcomes [5].
According to the Food and Nutrition Service, approximately 11.9 million people participate in WIC each month across the United States [9]. WIC has historically mitigated racial and socioeconomic disparities in maternal health. Black and Hispanic participants, who face higher risks of preterm birth and maternal mortality, experience significant benefits from WIC’s services. However, structural barriers, such as in-person certification requirements and limited clinic hours, have historically constrained access for vulnerable populations. In addition, coverage rates vary across the U.S. by race and ethnicity. In Florida, Hispanic/Latinx populations have a coverage rate of 62.4% of those who are eligible, non-Hispanic African-Americans have a coverage rate of 59.9%, and the non-Hispanic White population has a coverage rate of 45.5% [9]. National data from Medicaid-covered births from 2016 to 2022 revealed a stark decline in WIC receipt, decreasing from 66.6% pre-pandemic to 57.9% post-pandemic [10]. Reductions were most pronounced among American Indian/Alaska Native (13.6% decrease), Native Hawaiian/Pacific Islander (22.7%), Black (15.1%), and Hispanic (11.9%) individuals [10]. These declines occurred despite increased eligibility due to rising unemployment and food insecurity [11].
1.2. Inequities in WIC’s Impact
Racial inequities among low-income WIC-eligible women are a public health concern. Pre-pandemic, Black and Hispanic/Latinx women participated in WIC at higher rates than White women [10]. However, declines in WIC enrollment during the COVID-19 pandemic were disproportionately greater for Black and Hispanic groups, widening existing gaps in maternal health. The COVID-19 pandemic also resulted in reduced healthcare visits. WIC’s nutritional assessments are often conducted during prenatal appointments. Inadequate access to WIC services is linked to poor outcomes in low-income African-American populations [12]. Maternal mortality rose sharply during the pandemic, increasing from 24.9 deaths per 100,000 live births in 2020 to 33.2 in 2021 [13]. Black women were disproportionately more affected during the COVID-19 pandemic, with a mortality rate 2.6 times higher than that of White women.
Although WIC participation is associated with earlier prenatal care and reduced gestational diabetes [14], declining enrollment in WIC programs among minoritized groups created less opportunity for intervention. One of the largest predictors of poor birth outcomes for both African-American and White women is lower education levels. Women with low literacy are also more likely to have a low birth weight or preterm baby. However, individuals with higher socioeconomic status have higher incomes, better jobs, more wealth, longer lives, and fewer health problems than those who are not financially well-off [6]. Studies show that women with higher education levels are more likely to receive prenatal care and receive prenatal vitamins with folic acid. However, African-American mothers with higher education are still at greater risk of having a low-birth-weight or preterm baby [15].
1.3. Study Aims
The purpose of this study is to examine maternal health characteristics and prenatal care access among WIC recipients living in Florida before and during the COVID-19 pandemic. Previous research has shown that sociodemographic factors contribute to a lack of access to WIC programs and prenatal care in low-income communities and among people of low socioeconomic status. The effects of the COVID-19 pandemic in 2020 restricted the availability of healthcare and social services during that year.
2. Materials and Methods
2.1. Study Data
In this study, we obtained 426,869 birth records from the Florida Department of Health Bureau of Vital Statistics recorded between 1 January 2019 and 31 December 2020 via a data use agreement. The data included all births from women identified as White, African-American/Black, and Hispanic. The vital statistics birth certificate data linked both maternal and infant information containing over 80 variables, including the demographic characteristics of the mother, as well as detailed information on the mother’s BMI, weight gain during pregnancy, prenatal visits, and chronic and pregnancy-related diseases. The linked birth record also included information on the infant, such as birth weight, congenital anomalies, infections, or other harmful exposures. Although the birth certificate data did not contain information on income, insurance information was available and used as a proxy measure for income. During early prenatal visits, all women are screened for services such as Healthy Start and WIC. This screening information is contained on the birth record in addition to whether or not the women are receiving these services. Pregnant women receiving Medicaid were eligible for WIC; however, not all eligible women participated in the WIC program. The adequacy of prenatal care was assessed using the Kessner index [16]. According to this index, inadequate prenatal care occurs if one of the following five conditions is met: (1) no prenatal care by the 16th week of pregnancy, (2) one prenatal care visit or less by the 20th week, (3) two or less visits by the 28th week, (4) three or less visits by the 32nd week, or (5) four or less visits by the 34th week. An individual who does not meet any of these conditions is considered to have received adequate prenatal care.
2.2. Reference Information and Artificial Intelligence Use
While preparing this manuscript, the authors used Scispace.ai for the literature review for this study. Scispace.ai was used to supplement the articles and reference information found through a traditional literature review using PubMed.
2.3. Data Analysis
The authors conducted descriptive analyses to examine variables of interest, which included sociodemographic characteristics, socioeconomic factors, maternal health status, and birth outcomes before and during the COVID-19 pandemic. This study retained information on 172,267 pregnant women who received WIC services for analysis. Crosstabulation analyses were conducted among the variables of interest for the period before the COVID-19 pandemic and during the pandemic. Pre-pandemic births included those from 1 January 2019 to 29 February 2020. During the pandemic, births were included from 1 March 2020 to 31 December 2020.
In addition to descriptive analysis, the authors conducted logistic regression to examine prenatal care access and two maternal health outcomes before and during the COVID-19 pandemic. We coded the time before the COVID-19 pandemic using the calendar dates from 1 January 2019 to 29 February 2020 as zero and the time during the pandemic using the calendar dates from 1 March 2020 to 31 December 2020 as one. We used data from before and during the COVID-19 pandemic as our dependent variable. We controlled for sociodemographic variables, including race, age, education, marital status, and insurance type. We examined two nutrition-related maternal health outcomes (gestational diabetes and gestational hypertension), as well as prenatal care access (adequate/inadequate). Crosstabulation and logistic analyses were conducted using SPSS, version 29.
3. Results
Table 1 presents the descriptive characteristics of the study population, both before and during the COVID-19 pandemic. WIC enrollment declined from 88,962 (56.8%) before the pandemic to 67,746 (43.2%) during the pandemic.
Table 1.
The characteristics of WIC recipients before and during the COVID-19 pandemic.
| Characteristics | Before COVID-19 | During COVID-19 | Total |
|---|---|---|---|
| Number (%) | Number (%) | Number (%) | |
| WIC | |||
| Enrollment | 88,962 (56.8) | 67,746 (43.2) | 156,708 (100) |
| Race | |||
| Hispanic/Latinx | 33,523 (38.8) | 25,662 (39.0) | 59,185 (38.9) |
| African-American/Black | 28,443 (32.9) | 21,333 (32.4) | 49,776 (32.7) |
| White | 24,489 (28.3) | 18,802 (28.6) | 43,291 (28.4) |
| Age | |||
| ≤18 | 3590 (4.0) | 2652 (3.9) | 6242 (4.0) |
| 19–29 | 52,929 (59.5) | 39,519 (58.3) | 92,448 (59.0) |
| 30–39 | 29,846 (33.5) | 23,449 (34.6) | 53,295 (34.0) |
| ≥40 | 2597 (2.9) | 2126 (3.2) | 4723 (3.0) |
| Education | |||
| <High School | 15,768 (17.9) | 11,518 (17.1) | 27,286 (17.6) |
| High School Grad/GED | 39,623 (45.1) | 30,220 (44.9) | 69,843 (44.9) |
| College/Associate’s Degree | 24,708 (27.8) | 19,000 (28.2) | 43,943 (28.2) |
| College Graduate | 6272 (7.1) | 5241 (7.8) | 11,513 (7.4) |
| Master’s Degree or Above | 1675 (1.9) | 1370 (2.0) | 3045 (2.0) |
| Marital Status | |||
| Single | 60,466 (68.0) | 46,314 (68.4) | 106,780 (68.1) |
| Married | 28,489 (32.0) | 21,429 (31.6) | 49,918 (31.9) |
| Insurance | |||
| Medicaid | 70,731 (79.5) | 54,249 (80.1) | 124,980 (79.8) |
| Private Insurance | 11,988 (13.5) | 9566 (15.6) | 21,554 (13.8) |
| Self-Pay | 3666 (4.1) | 2340 (3.5) | 6006 (3.8) |
| Other/Unknown | 2577 (2.9) | 1591 (2.3) | 4168 (2.7) |
| BMI of Mother | |||
| Underweight | 3090 (3.7) | 2146 (3.3) | 5236 (3.5) |
| Normal | 30,449 (36.0) | 22,960 (35.3) | 53,409 (35.7) |
| Overweight | 23,464 (27.8) | 17,960 (27.6) | 41,424 (27.7) |
| Obese | 21,943 (26.0) | 17,508 (26.9) | 39,451 (26.4) |
| Severe Obesity | 5557 (6.6) | 4517 (6.9) | 10,074 (6.7) |
| Pregnancy Weight Gain | |||
| Lost Weight | 2150 (2.5) | 1651 (2.5) | 3801 (2.5) |
| Low Gain | 26,248 (30.7) | 19,648 (29.7) | 45,896 (30.2) |
| Normal Gain | 50,132 (58.5) | 38,989 (58.9) | 89,121 (58.7) |
| Excess Gain | 7098 (8.3) | 5901 (8.9) | 12,999 (8.6) |
| Gestation | |||
| Preterm | 9669 (10.9) | 7176 (10.6) | 16,845 (10.8) |
| Full Term | 79,275 (89.1) | 60,556 (89.4) | 139,831 (89.2) |
| Birth Weight of Infant | |||
| Very Low | 1294 (1.5) | 887 (1.3) | 2181 (1.4) |
| Low | 7104 (8.0) | 5352 (7.9) | 12,456 (7.9) |
| Normal | 75,252 (84.6) | 57,402 (84.7) | 132,654 (84.7) |
| High | 5303 (6.0) | 4100 (6.1) | 9403 (6.0) |
| Inadequate Prenatal Care | |||
| Yes | 5249 (5.9) | 4147 (6.1) | 9396 (6.0) |
| No | 83,713 (94.1) | 63,599 (93.9) | 147,312 (94.0) |
| Gestational Diabetes (GDM) | |||
| Yes | 5914 (6.7) | 5009 (7.4) | 10,923 (7.0) |
| No | 82,928 (93.3) | 62,659 (92.6) | 145,587 (93.2) |
| Gestational Hypertension | |||
| Yes | 6966 (7.8) | 5869 (8.7) | 12,835 (8.2) |
| No | 81,876 (92.1) | 61,799 (91.3) | 143,675 (91.8) |
3.1. Sociodemographic Characteristics
Among WIC participants, the racial distribution was primarily Hispanic/Latinx (38.8% pre-pandemic, 39.0% during), followed by African-American/Black (32.9% pre-pandemic, 32.4% during) and White women (28.3% pre-pandemic, 28.6% during). Most WIC-enrolled mothers were aged 19–29 (59.5% pre-pandemic, 58.3% during); in addition, pregnancies for those women < 18 years decreased in the WIC group (4.0% pre-pandemic, 3.9% during). Most WIC participants had a high school diploma or less, with 45.1% holding a high school diploma pre-pandemic and 44.9% during the pandemic. In contrast, less than 10% of WIC recipients held a college degree or higher. These figures highlight a significant disparity in educational attainment among those receiving WIC.
3.2. Health Status
Pre-pregnancy BMI data showed that a greater proportion of WIC participants were obese (26.0% pre-pandemic, 26.9% during) or severely obese (6.6% pre-pandemic, 6.9% during). WIC recipients also had a higher proportion of inadequate or excessive pregnancy weight gain. Preterm birth was more frequent among WIC participants (10.9% pre-pandemic, 10.6% during). Low and very low birth weight was slightly more common among WIC participants pre-pandemic (low: 8.0%; very low: 1.5%). WIC participants showed high rates of gestational diabetes both pre-pandemic and during the pandemic (6.7%, 7.4%). In addition, WIC participants showed high rates of gestational hypertension both pre-pandemic and during the pandemic (7.8%, 8.7%).
3.3. Prenatal Care Access
During the pandemic, rates of inadequate prenatal care increased in WIC participants to 5.9% from 6.1%.
3.4. Prenatal Care Access and Nutrition-Related Health Outcomes Before and During the Pandemic
Table 2 shows the logistic regression of sociodemographic characteristics, maternal health outcomes, and prenatal care access before versus during the COVID-19 pandemic for pregnant women receiving WIC. The logistic regression shows that Black women were 3% less likely to be enrolled during the pandemic (p = 0.03) compared with White women, while differences between White and Hispanic women were not significant (p = 0.45). Additionally, women aged 30 to 39 were 10% less likely to be enrolled during the pandemic (p < 0.001) compared to women aged 19 to 29. When compared by education level to women with master’s degrees or above, women with less than a high school education were 12% less likely to be enrolled during the pandemic (p < 0.001). When examining the results from before and during the pandemic, pregnant women who are single were 3% more likely to be enrolled during the pandemic (p = 0.01) compared to married women. Further, pregnant women also receiving Medicaid were 13% less likely to receive WIC during the pandemic (p < 0.001) compared with pregnant women with private health insurance. Finally, the results also show that during the pandemic, pregnant women were 24% more likely to receive inadequate prenatal care (p < 0.001) compared with women receiving adequate services, 9% more likely to have gestational diabetes (p < 0.001), and 10% more likely to have gestational hypertension (p < 0.001).
Table 2.
Logistic regression of WIC recipients before and during the COVID-19 pandemic.
| Characteristics | OR | 95% CI | p-Value |
|---|---|---|---|
| Race | |||
| Black | 0.97 | 0.95–0.99 | 0.03 |
| Hispanic | 1.01 | 0.98–1.03 | 0.45 |
| White | Reference | - | - |
| Age | |||
| ≤18 | 0.90 | 0.83–0.97 | 0.01 |
| 19–29 | Reference | ||
| 30–39 | 0.90 | 0.85–0.95 | <0.001 |
| ≥40 | 0.94 | 0.89–0.99 | 0.04 |
| Education | |||
| <High School | 0.88 | 0.82–0.95 | <0.001 |
| High School Grad/GED | 0.92 | 0.86–0.99 | 0.03 |
| College/Associate’s Degree | 0.91 | 0.85–0.98 | 0.01 |
| College Graduate | 1.02 | 0.94–1.10 | 0.72 |
| Master’s Degree or Above | Reference | - | - |
| Marital Status | |||
| Single | 1.03 | 1.01–1.05 | 0.01 |
| Married | Reference | - | - |
| Insurance | |||
| Medicaid | 0.87 | 0.85–0.90 | <0.001 |
| Private Insurance | Reference | ||
| Self-Pay | 0.75 | 0.71–0.79 | <0.001 |
| Other/Unknown | 0.74 | 0.69–0.79 | <0.001 |
| Inadequate Prenatal Care | |||
| Yes | 1.24 | 1.20–1.29 | <0.001 |
| No | Reference | - | - |
| Gestational Diabetes | |||
| Yes | 1.09 | 1.04–1.13 | <0.001 |
| No | Reference | - | - |
| Gestational Hypertension | |||
| Yes | 1.10 | 1.06–1.14 | <0.001 |
| No | Reference | - | - |
4. Discussion
Our study examines maternal health outcomes and prenatal care access among pregnant women receiving WIC before and during the early stages of the COVID-19 pandemic. The larger sample size allowed us to gather more precise estimates of the effects of the WIC program on various populations. Moreover, compared to previous studies, we used data from before and during the pandemic, with effort focused on controlling for socioeconomic factors that contribute to poor maternal outcomes. Although other studies have evaluated the effect of WIC, our study examines this effect on over 172,000 women giving birth in a large, diversely populated state before and during the COVID-19 pandemic. In addition, this study used birth certificate data linked from the mother to infant. Researchers found only a few other studies during their literature review that used linked birth data.
Our research showed decreases in the number of pregnant women enrolled in the WIC program during the COVID-19 pandemic. This may have been due to operational barriers such as clinic closures or reduced availability of staff. Prior to the pandemic, WIC certifications or recertifications required in-person appointments. Early in the pandemic, many WIC clinics discontinued traditional in-person services [17]. To combat the discontinuation of services, between March 2020 and February 2021, the USDA Food and Nutrition program issued waivers to provide flexibility to states to enable continued access to WIC services by allowing virtual services. However, many eligible individuals were unaware of the procedural changes [18].
Our research also shows that during the pandemic, pregnant women were more likely to receive inadequate prenatal care. In our study, we defined inadequate prenatal care as women receiving fewer than the expected number of prenatal care visits using the Kessner index [16]. A reduction in prenatal visits creates additional problems because nutritional risk assessments are often conducted during prenatal appointments [10]. In addition, our study found that during the COVID-19 pandemic pregnant women were more likely to have gestational diabetes. This result was also found in a study conducted by Garrow et al. [19] for pregnant Appalachian women in West Virginia. Some known risk factors for developing GDM include excessive weight gain and obesity. Our population showed a significant number of women post-pandemic who were obese (26.9%) or severely obese (6.9%). These numbers actually increased compared to the pre-pandemic numbers (26.0% and 6.6%, respectively). Finally, our study showed that pregnant women were also more likely to have gestational hypertension. A study by Jackson et al. [20] also found increases in gestational hypertensive disorders.
Despite the abundance of data and the strength of the analysis, there are some limitations within the analysis. Data were not available regarding when the women enrolled on the WIC program or for how long the women were enrolled. In addition, some women received assistance from other pregnancy support programs, such as Healthy Start. In addition, although most of the women who received WIC were enrolled in Medicaid, the researchers did not distinguish the differences in the Medicaid recipients. For example, some women received emergency Medicaid, which allowed them to receive support for only 60 days, while other women received traditional Medicaid, which is a long-term program in which women can be enrolled for the duration of the pregnancy. Another group of Medicaid women received Medicaid managed care (MMC). Medicaid managed care provides even more support services, such as depression screening, tobacco use screening and treatment, and screenings for sexually transmitted infections. The differences in these Medicaid programs may also have unmeasured effects on our analysis. Despite the differences in the Medicaid programs, we could still see differences in birth outcomes between the women who received WIC and the women who did not when adjusted by sociodemographic factors.
Lastly, our study covered multiple years of data. The researchers did not adjust for women who may have given birth to multiple babies or may have had more than one pregnancy between 2019 and 2020. However, we believe that these limitations do not cause large biases in the analysis of the data. Future studies should explore the lingering effects of inadequate prenatal care during the COVID-19 pandemic. The higher rates of gestational diabetes and hypertension may result in a greater likelihood of the mother developing chronic conditions, as well as developmental and health impacts on the infants.
5. Conclusions
This study examined maternal health outcomes among women enrolled in WIC before and during the COVID-19 pandemic. WIC participants were more likely to have low incomes, be younger, and come from minoritized racial and ethnic groups; they also had higher rates of GDM, hypertension, and adverse birth outcomes. Further research should explore utilization of specific WIC services and its effects on birth outcomes.
Acknowledgments
While preparing this manuscript/study, the author(s) used Scispace.ai for conducting the literature review. Scispace was used to supplement the articles that were found through a traditional literature review using PubMed. The authors have reviewed and selected articles that we believe to be relevant for our study and take full responsibility for the content of this publication.
Abbreviations
The following abbreviations are used in this manuscript:
| WIC | Women, Infants, and Children Programs or Services |
| COVID-19 | Coronavirus Disease of 2019 |
| MMC | Medicaid Managed Care |
| GDM | Gestational Diabetes Mellitus |
| USDA | United States Department of Agriculture |
Author Contributions
Conceptualization, A.M.; funding acquisition, A.M., K.F.A.S., and S.D.-R.; data acquisition, A.M., investigation, A.M., S.G.B., F.C., and S.G.S.; methodology, A.M. and S.G.B.; data analysis, A.M., and S.G.B.; validation A.M. and S.G.B.; visualization A.M.; writing—original draft, A.M. and S.G.B., writing—review and editing, A.M., S.G.B., F.C., S.G.S., E.M., R.S.-J., F.J., K.F.A.S., and S.D.-R. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
This study used de-identified data provided by the Bureau of Vital Statistics at the Florida Department of Health. The project was reviewed by the Florida Department of Health Institutional Review Board (protocol code 2021-473) and approved on 7 October 2021. The data use agreement from the Florida Department of Health Bureau of Vital Statistics was approved on 7 October 2021 and again on 9 October 2024. The project was also reviewed by the Florida A&M University (protocol code 028-21) and approved on 20 March 2023. This study was determined to be exempt by the Florida Department of Health and Florida A&M University because the data were de-identified prior to being released to the researchers for this study. Both letters of exemption are on file with the researchers for inspection. All methods used for this project were implemented in accordance with relevant guidelines and regulations.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data that supported the findings of this study were provided by the Florida Department of Health Bureau of Vital Statistics, but restrictions applied to the availability of these data, which were used via a data use agreement (DUA #20211016) for this study, so they are not publicly available. Data are, however, available from the Florida Department of Health Bureau of Vital Statistics (https://www.floridahealth.gov/statistics-and-data/data-and-statistics/index.html).
Conflicts of Interest
The authors declare no conflicts of interest. The funders had no role in the design of this study; the collection, analysis, or interpretation of data; the writing of this manuscript; or the decision to publish the results. In addition, Fayetta Justin is an employee of HCA Healthcare. HCA Healthcare had no role in the design of this study; the collection, analysis, or interpretation of data; the writing of this manuscript; or the decision to publish the results. Therefore, Fayetta Justin and the remaining authors declare that they have no relevant financial or non-financial interests that could be perceived as potential conflicts of interest with this research.
Funding Statement
This study was supported by the Bill and Melinda Gates Foundation grant INV-033293 to Florida A&M University, titled “Maternal and Child Health Disparities: An HBCU Discovery Partnership”, and by a grant from the Minority Grant Program: Improving Prenatal Care in Medicaid Populations from the Centers for Medicare and Medicaid Services (award #1W1CMS331826-01-00).
Footnotes
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References
- 1.Ridberg R.A., Levi R., Marpadga S., Akers M., Tancredi D.J., Seligman H.K. Additional Fruit and Vegetable Vouchers for Pregnant WIC Clients: An Equity-Focused Strategy to Improve Food Security and Diet Quality. Nutrients. 2022;14:2328. doi: 10.3390/nu14112328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Gilmore L.A., Augustyn M., Gross S.M., Vallo P.M., Paige D.M., Redman L.M. Periconception weight management in the Women, Infants, and Children program. Obes. Sci. Pract. 2018;5:95–102. doi: 10.1002/osp4.327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Schwarzenberg S.J., Georgieff M.K., Committee on Nutrition Daniels S., Corkins M., Golden N.H., Kim J.H., Lindsey C.W., Magge S.N. Advocacy for Improving Nutrition in the First 1000 Days to Support Childhood Development and Adult Health. Pediatrics. 2018;141:e20173716. doi: 10.1542/peds.2017-3716. [DOI] [PubMed] [Google Scholar]
- 4.Niles M.T., Bertmann F., Belarmino E.H., Wentworth T.R., Biehl E., Neff R.A. The Early Food Insecurity Impacts of COVID-19. Nutrients. 2020;12:2096. doi: 10.3390/nu12072096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Dunn C., Kennedy E., Bleich S., Fleischhacker S. Health Eating Research. Duke University; Durham, NC, USA: 2020. Strengthening WIC’s Impact During and After the COVID-19 Pandemic; p. 9. [Google Scholar]
- 6.Murphy R., Marshall K., Zagorin S., Devarshi P., Mitmesser S.H. Socioeconomic Inequities Impact the Ability of Pregnant Women and Women of Childbearing Age to Consume Nutrients Needed for Neurodevelopment: An Analysis of NHANES 2007–2018. Nutrients. 2022;14:3823. doi: 10.3390/nu14183823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Oliveira V., Frazao E. The WIC Program: Background, Trends, and Economic Issues, 2015 Edition; 2015; pp 1–81. [(accessed on 4 April 2023)]; Available online: https://www.ers.usda.gov/webdocs/publications/43925/50999_eib134.pdf?v=3236.8.
- 8.Hamad R., Batra A., Karasek D., LeWinn K., Bush N.R., Davis R.L., Taylavsky F.A. The Impact of the Revised WIC Food Package on Maternal Nutrition During Pregnancy and Postpartum. Am. J. Epidemiol. 2019;188:1493–1502. doi: 10.1093/aje/kwz098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.USDA WIC Eligibility and Coverage Rates 2018. [(accessed on 3 April 2023)]; Available online: https://www.fns.usda.gov/wic/eligibility-and-coverage-rates-2018#7.
- 10.Busch S., Andersen J.A., Willis D.E., McElfish P.A., Reece S., DuBois D., Brown C.C. Association of the COVID-19 Pandemic with Women, Infants, and Children (WIC) receipt Among Pregnant Individuals: United States, 2016–2022. Am. J. Public Health. 2023;113:S240–S247. doi: 10.2105/AJPH.2023.307525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Jacobs K., Adeniran O. WIC During COVID-19: Participation and Benefit Redemption Since the Onset of the Pandemic. Food Research & Action Center; Washington, DC, USA: 2022. WIC During COVID-19; pp. 1–15. [Google Scholar]
- 12.Angley M., Thorsten V.R., Drews-Botsch C., Dudley D.J., Goldenberg R.L., Sliver R.M., Stoll B.J., Pinar H., Hogue C.J. Association of participation in a supplemental nutrition program with stillbirth by race, ethnicity, and maternal characteristics. BMC Pregnancy Childbirth. 2018;24:306. doi: 10.1186/s12884-018-1920-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.CDC Pregnancy-Related Deaths. Centers for Disease Control and Prevention. [(accessed on 21 April 2025)]; Available online: https://restoredcdc.org/www.cdc.gov/maternal-mortality/php/pregnancy-mortality-surveillance/index.html.
- 14.Ghafari-Saravi A., Chaiken S.R., Packer C.H., Garg B., Caughey A.B. Impact of WIC Benefits on Maternal and Neonatal Outcomes in Patients with Gestational Diabetes. Am. J. Obs. Gynecol. 2022;226:S146–S147. doi: 10.1016/j.ajog.2021.11.257. [DOI] [Google Scholar]
- 15.Egbe T.I., Montoya-Williams D., Wallis K., Passarella M., Lorch S. Risk of Extreme, Moderate, and Late Preterm Birth by Maternal Race, Ethniciy, and Nativity. J. Pediatr. 2022;240:24–30. doi: 10.1016/j.jpeds.2021.09.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kotelchuck M. An Evaluation of the Kessner Adequacy of Prenatal Care Index and a Proposed Adequacy of Prenatal Care Utilization Index. Am. J. Public Health. 1994;84:1414–1420. doi: 10.2105/AJPH.84.9.1414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.USDA . Changes in USDA Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) Operations During the COVID-19 Pandemic: A First Look at the Impact of Federal Waivers. USDA; Washington, DC, USA: 2021. [(accessed on 4 April 2025)]. pp. 1–10. Available online: https://fns-prod.azureedge.us/sites/default/files/resource-files/FFCRA-WICWaiver-Prelim-1.pdf. [Google Scholar]
- 18.Crespo-Bellido M., Headrick G., López M.Á., Holcomb J., Khan A., Sapkota S., Hollis-Hansen K. A Systematic Review: The Impact of COVID-19 Policy Flexibilities on SNAP and WIC Programmatic Outcomes. Adv. Nutr. 2025;16:100361. doi: 10.1016/j.advnut.2024.100361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Garrow J., Fan I., Lilly C., Lefeber C., Gibbs B.B., Lefeber T., John C., Umer A. The COVID-19 Pandemic and Its Impact on the Development of Gestational Diabetes Mellitus (GDM) in West Virginia. Diabetes Res. Clin. Pract. 2024;208:111126. doi: 10.1016/j.diabres.2024.111126. [DOI] [PubMed] [Google Scholar]
- 20.Jackson K., Karasek D., Gemmill A., Collin D.F., Hamad R. Maternal Health during the COVID-19 Pandemic in the U.S.: An Interrupted Time-Series Analysis. Epidemiology. 2024;35:823–833. doi: 10.1097/EDE.0000000000001779. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that supported the findings of this study were provided by the Florida Department of Health Bureau of Vital Statistics, but restrictions applied to the availability of these data, which were used via a data use agreement (DUA #20211016) for this study, so they are not publicly available. Data are, however, available from the Florida Department of Health Bureau of Vital Statistics (https://www.floridahealth.gov/statistics-and-data/data-and-statistics/index.html).
