scholarly journals Association of Breastfeeding and the Federal Poverty Level: National Survey of Family Growth, 2011–2013

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
R. Constance Wiener ◽  
Usha Sambamoorthi ◽  
Sarah E. Hayes ◽  
Ilana R. Azulay Chertok

Breastfeeding is strongly endorsed in the Healthy People 2020 goals; however, there remain many disparities in breastfeeding prevalence. The purpose of this study was to examine the association between breastfeeding and the Federal Poverty Level in the United States. Data from 5,397 women in the National Survey of Family Growth 2011–2013 survey were included in this study. The data were analyzed for descriptive features and logistic regressions of the Federal Poverty Level on breastfeeding. There were 64.1% of women who reported breastfeeding. Over one-third (35.2%) of women reported having a household income of 0–99% of the Federal Poverty Level. There were 15.2% of women who reported an income of 400% and above the Federal Poverty Level. With statistical adjustment for maternal age, race/ethnicity, education, marital status, parity, preterm birth, birth weight, insurance, and dwelling, the Federal Poverty Level was not significantly associated with breastfeeding. In this recent survey of mothers, Federal Poverty Level was not shown to be a significant factor in breastfeeding.

2020 ◽  
Vol 31 (7) ◽  
pp. 680-688
Author(s):  
Babayemi O Olakunde ◽  
Jennifer R Pharr ◽  
Daniel A Adeyinka

Although there has been significant progress in reducing perinatal human immunodeficiency virus (HIV) transmission, the United States is yet to meet the proposed elimination goal of less than one infection per 100,000 live births. Failure to screen all pregnant women for HIV as recommended by the Centers for Disease Control and Prevention can result in missed opportunities for preventing vertical transmission of HIV with antiretroviral drugs. Using the 2011–2017 National Survey of Family Growth, this study examined HIV testing among pregnant women during prenatal care. We estimated the weighted proportion of self-reported HIV testing among women whose last pregnancy ended within 12 months prior to the interview. Logistic regression models were used to determine the factors associated with HIV testing. Of the 1566 women included in the study, 76.4% (95% confidence intervals [CI] = 72.8–80.0) reported receiving an HIV test during prenatal care. In the multivariable regression model, high school diploma (adjusted odds ratio [aOR] = 1.9, 95% CI = 1.1–3.1), two completed pregnancies (aOR = 1.7, 95% CI = 1.1–2.7), health insurance coverage in the last 12 months (aOR = 1.6, 95% CI = 1.0–2.6), Hispanic race/ethnicity (aOR = 2.8, 95% CI = 1.8–4.4), and non-Hispanic black race/ethnicity (aOR = 2.2, 95% CI = 1.3–3.8) were associated with higher odds of reporting being tested for HIV. However, household income of 300% or more of the federal poverty level (aOR = 0.6, 95% CI = 0.3–0.9) and urban residence (aOR = 0.5, 95% CI = 0.3–0.9) were associated with lower odds of reporting HIV testing. These findings suggest that HIV testing among pregnant women during prenatal care is not universal and may affect achieving the goal of elimination of mother-to-child transmission of HIV in the United States.


2021 ◽  
pp. 003335492097053
Author(s):  
Zanetta Gant ◽  
Shacara Johnson Lyons ◽  
Chan Jin ◽  
André Dailey ◽  
Ndidi Nwangwu-Ike ◽  
...  

Objective HIV disproportionately affects Hispanic/Latino people in the United States, and factors other than individual attributes may be contributing to these differences. We examined differences in the distribution of HIV diagnosis and social determinants of health (SDH) among US-born and non–US-born Hispanic/Latino adults in the United States and Puerto Rico. Methods We used data reported to the Centers for Disease Control and Prevention’s National HIV Surveillance System (NHSS) to determine US census tract–level HIV diagnosis rates and percentages among US-born and non–US-born Hispanic/Latino adults aged ≥18 for 2017. We merged data from the US Census Bureau’s American Community Survey with NHSS data to examine regional differences in federal poverty level, education, median household income, employment, and health insurance coverage among 8648 US-born (n = 3328) and non–US-born (n = 5320) Hispanic/Latino adults. Results A comparison of US-born and non–US-born men by region showed similar distributions of HIV diagnoses. The largest percentages occurred in census tracts where ≥19% of residents lived below the federal poverty level, ≥18% did not finish high school, the median household income was <$40 000 per year, ≥6% were unemployed, and ≥16% did not have health insurance. A comparison of US-born and non–US-born women by region showed similar distributions. Conclusion The findings of higher numbers of HIV diagnoses among non–US-born Hispanic/Latino adults than among US-born Hispanic/Latino adults, regional similarities in patterns of SDH and HIV percentages and rates, and Hispanic/Latino adults faring poorly in each SDH category are important for understanding SDH barriers that may be affecting Hispanic/Latino adults with HIV in the United States.


2014 ◽  
Vol 19 (4) ◽  
pp. 776-782 ◽  
Author(s):  
Michael J. Cannon ◽  
Jing Guo ◽  
Clark H. Denny ◽  
Patricia P. Green ◽  
Heidi Miracle ◽  
...  

2009 ◽  
Vol 181 (4S) ◽  
pp. 3-3
Author(s):  
Michael L Eisenberg ◽  
Jillian T. Henderson ◽  
John K. Amory ◽  
James F. Smith ◽  
Thomas J Walsh

Contraception ◽  
2010 ◽  
Vol 82 (3) ◽  
pp. 236-242 ◽  
Author(s):  
Michelle M. Isley ◽  
Alison Edelman ◽  
Bliss Kaneshiro ◽  
Dawn Peters ◽  
Mark D. Nichols ◽  
...  

2017 ◽  
Vol 57 (7) ◽  
pp. 827-834 ◽  
Author(s):  
Bryan Anker ◽  
Yorghos Tripodis ◽  
Webb E. Long ◽  
Arvin Garg

This study was a secondary data analysis of the 2011-2012 National Survey of Children’s Health. Data were available for a nationally representative sample of 81 090 children. Multivariable logistic regression was used to model child health with the medical home while examining the effect modification of household income and controlling for sociodemographic characteristics. Overall, the medical home was significantly associated with “excellent/very good” child health for children regardless of household income. However, the association of the medical home with “excellent/very good” child health was significantly higher for children in households earning >200% FPL (federal poverty level) compared with <200% FPL (adjusted odds ratio [aOR] 2.13 [95% CI 1.80-2.52] vs aOR 1.46 [95% CI 1.24-1.71]; P < .01). This relationship was also found among children >400% FPL compared with children between 100% and 199% FPL (aOR 2.25 [95% CI 1.74-2.9 0] vs aOR 1.28 [95% CI 1.01-1.62]; P < .01). Therefore, while the medical home is associated with beneficial child health for most children, significant disparities by income exist.


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