Cathleen Odar Stough1, Amrik S Khalsa2, Laura A Nabors3, Ashley L Merianos3, James Peugh4. 1. 1 Department of Psychology, University of Cincinnati, Cincinnati, OH, USA. 2. 2 Division of General and Community Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. 3. 3 School of Human Services, College of Education, Criminal Justice, and Human Services, University of Cincinnati, Cincinnati, OH, USA. 4. 4 Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Abstract
PURPOSE: To explore predictors of breastfeeding behavior and seek to replicate prior findings using a recent nationally representative United States (US) sample, which has not been done previously. DESIGN: Secondary data analysis using the National Survey of Children's Health 2011 to 2012. SETTING: Households in the 50 US states, the District of Columbia, and the US Virgin Islands. PARTICIPANTS: Caregivers with a child between 6 months and 6 years of age (n = 26 552). MEASURES: Caregiver-reported child breastfeeding behavior, child birth weight, child/maternal/family demographics, maternal physical and mental health, and household tobacco exposure. ANALYSIS: A multinomial logistic regression explored whether child, maternal, and family characteristics predicted exclusive breastfeeding for 6 months or breastfeeding for a suboptimal duration. RESULTS: Approximately 79% and 17% of the sample-initiated breastfeeding and exclusively breastfed for 6 months, respectively. Child ethnicity/race, maternal education, household tobacco exposure, family composition, and family income predicted odds of both exclusive breastfeeding for 6 months and breastfeeding for a suboptimal duration or not exclusively. Normal or high child birth weight and better maternal physical health predicted greater odds of exclusive breastfeeding for 6 months. CONCLUSION: Rates of exclusive breastfeeding for 6 months remain low in the United States. Single-parent and step-families, lower income families, non-Hispanic black children, children with exposure to tobacco, and children of mothers with lower education are at greatest risk.
PURPOSE: To explore predictors of breastfeeding behavior and seek to replicate prior findings using a recent nationally representative United States (US) sample, which has not been done previously. DESIGN: Secondary data analysis using the National Survey of Children's Health 2011 to 2012. SETTING: Households in the 50 US states, the District of Columbia, and the US Virgin Islands. PARTICIPANTS: Caregivers with a child between 6 months and 6 years of age (n = 26 552). MEASURES: Caregiver-reported child breastfeeding behavior, child birth weight, child/maternal/family demographics, maternal physical and mental health, and household tobacco exposure. ANALYSIS: A multinomial logistic regression explored whether child, maternal, and family characteristics predicted exclusive breastfeeding for 6 months or breastfeeding for a suboptimal duration. RESULTS: Approximately 79% and 17% of the sample-initiated breastfeeding and exclusively breastfed for 6 months, respectively. Child ethnicity/race, maternal education, household tobacco exposure, family composition, and family income predicted odds of both exclusive breastfeeding for 6 months and breastfeeding for a suboptimal duration or not exclusively. Normal or high child birth weight and better maternal physical health predicted greater odds of exclusive breastfeeding for 6 months. CONCLUSION: Rates of exclusive breastfeeding for 6 months remain low in the United States. Single-parent and step-families, lower income families, non-Hispanic black children, children with exposure to tobacco, and children of mothers with lower education are at greatest risk.
Authors: Jennifer J Yland; Taiyao Wang; Zahra Zad; Sydney K Willis; Tanran R Wang; Amelia K Wesselink; Tammy Jiang; Elizabeth E Hatch; Lauren A Wise; Ioannis Ch Paschalidis Journal: Hum Reprod Date: 2022-03-01 Impact factor: 6.918
Authors: Andrea Gila-Díaz; Gloria Herranz Carrillo; Ángel Luis López de Pablo; Silvia M Arribas; David Ramiro-Cortijo Journal: Int J Environ Res Public Health Date: 2020-09-30 Impact factor: 3.390