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1.
J Womens Health (Larchmt) ; 32(2): 150-160, 2023 02.
Artigo em Inglês | MEDLINE | ID: mdl-36576992

RESUMO

Background: We surveyed parents who gave birth from 2019 to 2021 to examine changes in breastfeeding experiences and professional and lay breastfeeding support services due to the coronavirus disease 2019 (COVID-19) pandemic. We also examined racial and ethnic disparities in breastfeeding support. Materials and Methods: A cross-sectional opt-in survey of 1,617 parents was administered on Ovia's parenting app in January 2022. Respondents were 18-45 years of age and delivered in one of three birth cohorts: August-December 2019, March-May 2020, or June-August 2021. We fit linear and logistic regression models wherein the outcomes were six breastfeeding support and experience measures, adjusting for birth cohort and respondent demographics. Results: Parents who gave birth in the early pandemic versus those in the prepandemic had reduced odds of interacting with lactation consultants (odds ratio [OR]: 0.63; 95% confidence interval [CI]: 0.44-0.90), attending breastfeeding classes (OR: 0.71; 95% CI: 0.54-0.94), meeting breastfeeding goals (OR: 0.65; 95% CI: 0.46-0.92), and reporting it was easy to get breastfeeding help (estimate: -0.36; 95% CI: -0.55 to -0.17). Birth cohort was not associated with use of donor milk or receipt of in-hospital help. The later pandemic cohort differed from the prepandemic cohort for one outcome: they were less likely to meet their breastfeeding goals (OR: 0.67; 95% CI: 0.48-0.95). There were racial and ethnic disparities in the use of multiple types of breastfeeding support. Although one-third of respondents felt that the pandemic facilitated breastfeeding because of more time at home, 18% felt the pandemic posed additional challenges including disruptions to lactation support. Conclusions: Parents who gave birth in the later pandemic did not report significant disruptions to professional breastfeeding support, likely as a result of the growth of virtual services. However, disparities in receipt of support require policy attention and action.


Assuntos
Aleitamento Materno , COVID-19 , Feminino , Gravidez , Humanos , Estudos Transversais , COVID-19/epidemiologia , COVID-19/prevenção & controle , Cuidado Pós-Natal , Lactação
2.
J Perinat Educ ; 25(1): 29-36, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-26848248

RESUMO

We surveyed 146 postpartum women who birthed at 34-37 6/7 weeks of gestation and intended to breastfeed about their use of and preferences regarding technology to obtain perinatal and breastfeeding support. Most participants owned smartphones and used technology during pregnancy to track pregnancy data, follow fetal development, address pregnancy concerns, and obtain breastfeeding information. Internet, e-mail, apps, and multiplatform resources were the most popular technologies used and preferred. Demographic differences existed in mobile technology access and preferences for different technologies. In terms of technology-based breastfeeding support, women wanted encouragement, anticipatory guidance, and information about milk production. A nuanced understanding of the technology childbearing women use and desire has the potential to impact clinical care and inform perinatal support interventions.

3.
Breastfeed Med ; 8(3): 277-85, 2013 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-23199304

RESUMO

BACKGROUND: Although late preterm infants (LPIs), at 34(0/7)-36(6/7) weeks of gestation, are reported to have suboptimal rates of breastfeeding, there is a lack of quantitative evidence describing this trend. This study examined the prevalence of breastfeeding initiation and factors associated with breastfeeding non-initiation within a Pennsylvania population-based cohort of late preterm mother-infant dyads. SUBJECTS AND METHODS: Descriptive statistics and odds ratios were used to assess and compare breastfeeding initiation rates in 2003-2009 among LPI mothers (n=62,451) and their infants (n=68,886) with moderately preterm (n=17,325) and term (n=870,034) infants. Binary logistic regression was used to determine the association of system/provider, sociodemographic, and medical factors with breastfeeding non-initiation in late preterm mother-infant dyads for the year 2009 (n=7,012). RESULTS: Although LPI breastfeeding initiation in Pennsylvania increased significantly from 2003 (54%) to 2009 (61.8%) (p<0.001), the 2009 prevalence remained well below rates in term infant populations and national standards. The regression model indicated that interactions involving sociodemographic variables, including marital status, age, race/ethnicity, education, parity, Women, Infants and Children Program participation, and smoking status were among the most significant factors associated with LPI breastfeeding non-initiation (p<0.05). The univariate results were similar to those reported in preterm and term populations. CONCLUSIONS: Our data suggest that certain, unexpected demographic groups in the late preterm population be prioritized for further analysis and possibly greater breastfeeding support. More research is indicated to understand the effect of modifiable psychosocial factors on LPI breastfeeding initiation.


Assuntos
Aleitamento Materno/estatística & dados numéricos , Intenção , Mães/estatística & dados numéricos , Fumar/epidemiologia , Adolescente , Adulto , Aleitamento Materno/psicologia , Escolaridade , Feminino , Conhecimentos, Atitudes e Prática em Saúde , Promoção da Saúde , Humanos , Recém-Nascido , Recém-Nascido Prematuro , Idade Materna , Relações Mãe-Filho/psicologia , Mães/psicologia , Razão de Chances , Pennsylvania/epidemiologia , Valor Preditivo dos Testes , Gravidez , Prevalência , Apoio Social , Fatores de Tempo
4.
Infant Behav Dev ; 35(4): 884-6, 2012 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-23010367

RESUMO

This study examined breastfeeding and sleep in 77 dyads of mothers and infants 6-11 months old. Data revealed no significant difference in sleep patterns between breastfed and non-breastfed infants. Controlling for variables including breastfeeding status, only infant nighttime sleep duration was significant in predicting maternal short sleep duration.


Assuntos
Aleitamento Materno , Mães , Sono , Adulto , Feminino , Humanos , Lactente , Masculino , Idade Materna , Fatores de Tempo
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