Reconciling motherhood ideology: a classic grounded theory of breastfeeding grief
Aderibigbe, T.
Show abstract
Breastfeeding grief is a form of complicated and disenfranchised grief which occurs when mothers are unable to achieve their breastfeeding goals; it is characterized by profound sadness and a sense of failure that negatively impact perinatal mental health. The scientific literature consists of very few studies on breastfeeding grief; and a critical gap remains about the primary concern of mothers experiencing breastfeeding grief and how these mothers cope with this concern. This study includes the first substantive grounded theory of breastfeeding grief using a classic grounded theory design. A purposive sample of 46 mothers who are experiencing/have experienced breastfeeding grief completed unstructured virtual individual interviews, and an additional theoretical sample of 19 mothers completed semi-structured individual interviews. Interviews were transcribed verbatim and coded in Quirkos. Data were analyzed using constant comparative analysis, which resulted in the development of a substantive grounded theory. The theory has 3 postulations: 1) the main concern of mothers experiencing breastfeeding is unattained perception of motherhood, 2) the basic psychosocial process used to cope with unattained perception of motherhood is reconciling motherhood ideology, which occurs in 5 stages (responding to disruptions, disavowing reality, grieving, accepting reality, and reframing motherhood ideology), and 3) factors accounting for variation in reconciling motherhood include self-worth, personality, social sentiment/norm, context, and conditions. This theory underscores breastfeeding grief as indeed a perinatal mental health concern, that transcends affective, cognitive, and psychomotor domains. Movement across the stages of reconciling breastfeeding grief is cyclical, not progressive. Therefore, focused psychological interventions to address this concern are urgently warranted.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- “We felt like part of a production system”: a qualitative study on women’s experience of mistreatment during childbirth in Switzerland 95%
- Maternal characteristics and their relation to early mother-child interaction and cognitive development in toddlers 94%
- Exploring midwives understanding of respectful and non-abusive maternal care in Kumasi, Ghana: Qualitative Inquiry 94%
Similar papers in this journal
- Multiple-birth family knowledge in maternity and child health clinics: filling knowledge gaps to improve multiple-birth family nursing 95%
- The role of the environment in overweight and eating behavior variability: Insights from a multivariate twin study. 88%
- TwinsMX: Exploring the Genetic and Environmental Influences on Health Traits in the Mexican Population 87%
Similar papers in this journal
- Barriers and Facilitators to Facility-Based Feeding Support for Small and Sick Newborns in Ethiopia: A Qualitative Study of Clinicians Perspectives 94%
- Does pregnancy intention of mother affect child healthcare and growth in India? Evidence from a longitudinal survey 93%
- The COVID in the Context of Pregnancy, Infancy and Parenting (CoCoPIP) Study: protocol for a longitudinal study of parental mental health, social interactions, physical growth, and cognitive development of infants during the pandemic 93%
Similar papers in this journal
Similar papers in this journal
- The Womens Wellness After Giving Birth Program (WWAGBP) for Vietnamese women: A single-arm trial protocol 93%
- Exposure to and engagement with digital psychoeducational content and community related to maternal mental health by perinatal persons and mothers: design of an online survey with optional follow-up and participant characteristics 92%
- Physiological and Psychological Effects of Parental Traditional Thai Massage on Children with Autism: A Protocol for a Randomized Controlled Trial 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.