IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v246y2020ics0277953620300101.html
   My bibliography  Save this article

Typologies of postnatal support and breastfeeding at two months in the UK

Author

Listed:
  • Emmott, Emily H.
  • Page, Abigail E.
  • Myers, Sarah

Abstract

There is extensive evidence to suggest that social support improves breastfeeding outcomes. Building on this evidence-base, public health services and interventions aiming to improve breastfeeding rates have primarily targeted informational and emotional support to mothers, reflecting an individual behaviour-change approach. However, mothers exist within a wider social network, and the characteristics of their broader support networks may be an important predictor of breastfeeding outcomes. Here we explore the typologies of postnatal support for mothers in the UK; a population with one of the lowest breastfeeding rates in Europe. Using retrospective data from an online survey (data collection period December 2017 - February 2018), we carry out a latent class regression (n = 432) to identify “clusters” of postnatal support in our data. Mothers in our sample were most likely to report receiving practical and emotional support from partners and maternal grandmothers, and breastfeeding information from health professionals. We identify three distinct typologies of postnatal support: 1) Extensive support, where mothers received support from a wide range of supporters including partners, maternal grandmothers, friends and health professionals, but mothers were the only ones to feed the infant; 2) Family support, where mothers received support from partners and maternal grandmothers, including with infant feeding, but less likely to receive support from health professionals; and 3) Low support, where mothers primarily received support from partners. 94% of women with extensive support were predicted to be breastfeeding at two months, followed by 48% of mothers in the low support group, and 13% in the family support group. Our findings highlight the complexities of family support and its potential impact on breastfeeding, as well as the significance of professional support. Overall, our results hint at the potential value for health professionals to engage with wider family in order to achieve extensive support for mothers.

Suggested Citation

  • Emmott, Emily H. & Page, Abigail E. & Myers, Sarah, 2020. "Typologies of postnatal support and breastfeeding at two months in the UK," Social Science & Medicine, Elsevier, vol. 246(C).
  • Handle: RePEc:eee:socmed:v:246:y:2020:i:c:s0277953620300101
    DOI: 10.1016/j.socscimed.2020.112791
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953620300101
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2020.112791?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Emily H Emmott & Ruth Mace, 2015. "Practical Support from Fathers and Grandmothers Is Associated with Lower Levels of Breastfeeding in the UK Millennium Cohort Study," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-12, July.
    2. Myers, Sarah & Johns, Sarah E., 2019. "Male infants and birth complications are associated with increased incidence of postnatal depression," Social Science & Medicine, Elsevier, vol. 220(C), pages 56-64.
    3. Bolck, Annabel & Croon, Marcel & Hagenaars, Jacques, 2004. "Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators," Political Analysis, Cambridge University Press, vol. 12(1), pages 3-27, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laura J. Brown & Sarah Myers & Abigail E. Page & Emily H. Emmott, 2020. "Subjective Environmental Experiences and Women’s Breastfeeding Journeys: A Survival Analysis Using an Online Survey of UK Mothers," IJERPH, MDPI, vol. 17(21), pages 1-27, October.
    2. Harpur, Ruth Ann & Haddon, Susanna J., 2020. "Typologies of postnatal support and breastfeeding at two months in the UK: Research participant commentary," Social Science & Medicine, Elsevier, vol. 252(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jennifer Oser & Marc Hooghe & Zsuzsa Bakk & Roberto Mari, 2023. "Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4915-4933, October.
    2. Fabian Dvorak, 2020. "stratEst: Strategy Estimation in R," TWI Research Paper Series 119, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    3. Laura J. Brown & Sarah Myers & Abigail E. Page & Emily H. Emmott, 2020. "Subjective Environmental Experiences and Women’s Breastfeeding Journeys: A Survival Analysis Using an Online Survey of UK Mothers," IJERPH, MDPI, vol. 17(21), pages 1-27, October.
    4. Lawrence, Elizabeth M. & Mollborn, Stefanie & Hummer, Robert A., 2017. "Health lifestyles across the transition to adulthood: Implications for health," Social Science & Medicine, Elsevier, vol. 193(C), pages 23-32.
    5. Lecegui, Antonio & Olaizola, Ana María & López-i-Gelats, Feliu & Varela, Elsa, 2022. "Implementing the livelihood resilience framework: An indicator-based model for assessing mountain pastoral farming systems," Agricultural Systems, Elsevier, vol. 199(C).
    6. Aely Park & Youngmi Kim & Jennifer Murphy, 2023. "Adverse Childhood Experiences and Substance Use Among Korean College Students: Different by Gender?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(4), pages 1811-1825, August.
    7. Zsuzsa Bakk & Jouni Kuha, 2018. "Two-Step Estimation of Models Between Latent Classes and External Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 871-892, December.
    8. Bakk, Zsuzsa & Kuha, Jouni, 2020. "Relating latent class membership to external variables: an overview," LSE Research Online Documents on Economics 107564, London School of Economics and Political Science, LSE Library.
    9. Alyssa Lozano & Tae Kyoung Lee & Elliott R. Weinstein & Yannine Estrada & Beck Graefe & Maria I. Tapia & Guillermo Prado, 2023. "Trajectories of Drug Use and Depressive Symptoms among Latinx Youth and Sexual Minority Youth," IJERPH, MDPI, vol. 20(10), pages 1-13, May.
    10. Fabian Dvorak & Sebastian Fehrler, 2018. "Negotiating Cooperation Under Uncertainty: Communication in Noisy, Indefinitely Repeated Interactions," TWI Research Paper Series 112, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    11. Andrea Bazzoli & Tahira M. Probst & Jasmina Tomas, 2022. "A Latent Profile Analysis of Precarity and Its Associated Outcomes: The Haves and the Have-Nots," IJERPH, MDPI, vol. 19(13), pages 1-13, June.
    12. Janne Petersen & Karen Bandeen-Roche & Esben Budtz-Jørgensen & Klaus Groes Larsen, 2012. "Predicting Latent Class Scores for Subsequent Analysis," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 244-262, April.
    13. Gensowski, Miriam, 2018. "Personality, IQ, and lifetime earnings," Labour Economics, Elsevier, vol. 51(C), pages 170-183.
    14. Gugerty, Mary Kay & Mitchell, George E. & Santamarina, Francisco J., 2021. "Discourses of evaluation: Institutional logics and organizational practices among international development agencies," World Development, Elsevier, vol. 146(C).
    15. Paweł A. Atroszko & Bartosz Atroszko & Edyta Charzyńska, 2021. "Subpopulations of Addictive Behaviors in Different Sample Types and Their Relationships with Gender, Personality, and Well-Being: Latent Profile vs. Latent Class Analysis," IJERPH, MDPI, vol. 18(16), pages 1-29, August.
    16. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    17. Cannas Aghedu, Fabio & Blais, Martin & Philibert, Mathieu & Côté, Isabel & Samoilenko, Mariia & Chamberland, Line, 2022. "Social resource patterns and health outcomes among Canadian LGBTQ2+ adults: A latent class analysis," Social Science & Medicine, Elsevier, vol. 314(C).
    18. Konte M., 2014. "Do remittances not promote growth? : a bias-adjusted three-step mixture-of-regressions," MERIT Working Papers 2014-075, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Christopher J. Fariss & Therese Anders & Jonathan N. Markowitz & Miriam Barnum, 2022. "New Estimates of Over 500 Years of Historic GDP and Population Data," Journal of Conflict Resolution, Peace Science Society (International), vol. 66(3), pages 553-591, April.
    20. F. J. Clouth & S. Pauws & F. Mols & J. K. Vermunt, 2022. "A new three-step method for using inverse propensity weighting with latent class analysis," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(2), pages 351-371, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:246:y:2020:i:c:s0277953620300101. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.