{"title":"Identifying distinct subtypes of mother-to-infant bonding using latent profile analysis in a nationwide Japanese study","authors":"Kosuke Hagiwara, Chong Chen, Ryo Okubo, Sumiyo Okawa, Shin Nakagawa, Takahiro Tabuchi","doi":"10.1007/s00737-024-01467-9","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Mother-to-infant bonding (MIB) is foundational for nurturing behaviors and an infant’s development. Identifying risk factors for difficulties or problems in MIB is vital. However, traditional research often dichotomizes MIB using cutoff thresholds, overlooking its underlying complexities. This research utilizes latent profile analysis (LPA) to discern MIB subtypes in a nationwide Japanese dataset.</p><h3>Methods</h3><p>We conducted LPA on data from the Mother-to-Infant Bonding Scale (MIBS), collected from 3,877 postpartum women within one year of childbirth. To empirically validate the derived profiles, we examined their associated risk factors, focusing on sociodemographic, health, and perinatal variables.</p><h3>Results</h3><p>Four distinct MIB profiles emerged. Profile 1 indicated minimal difficulties, while Profile 4 exhibited severe multifaceted difficulties. Profiles 2 and 3 showed moderate difficulties distinguished by lack of positive affection and presence of negative affection (especially indifference), respectively. Compared to Profile 1, women in Profiles 2–4 had a higher likelihood of postpartum depression and low family support. Each profile also presented unique risk factors: medium family support in Profile 2, maternal working status in Profile 3, and pre-pregnancy underweight status in Profile 4. Notably, both Profiles 3 and 4 were also linked to increased feelings of loneliness since the onset of the COVID-19 pandemic.</p><h3>Conclusion</h3><p>This study represents the first application of LPA to MIB, revealing distinct subtypes and their respective risk profiles. These insights promise to enhance and personalize early interventions for difficulties in MIB, affirming the necessity of acknowledging MIB’s heterogeneity.</p></div>","PeriodicalId":8369,"journal":{"name":"Archives of Women's Mental Health","volume":"27 5","pages":"765 - 774"},"PeriodicalIF":3.2000,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Women's Mental Health","FirstCategoryId":"3","ListUrlMain":"https://link.springer.com/article/10.1007/s00737-024-01467-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Mother-to-infant bonding (MIB) is foundational for nurturing behaviors and an infant’s development. Identifying risk factors for difficulties or problems in MIB is vital. However, traditional research often dichotomizes MIB using cutoff thresholds, overlooking its underlying complexities. This research utilizes latent profile analysis (LPA) to discern MIB subtypes in a nationwide Japanese dataset.
Methods
We conducted LPA on data from the Mother-to-Infant Bonding Scale (MIBS), collected from 3,877 postpartum women within one year of childbirth. To empirically validate the derived profiles, we examined their associated risk factors, focusing on sociodemographic, health, and perinatal variables.
Results
Four distinct MIB profiles emerged. Profile 1 indicated minimal difficulties, while Profile 4 exhibited severe multifaceted difficulties. Profiles 2 and 3 showed moderate difficulties distinguished by lack of positive affection and presence of negative affection (especially indifference), respectively. Compared to Profile 1, women in Profiles 2–4 had a higher likelihood of postpartum depression and low family support. Each profile also presented unique risk factors: medium family support in Profile 2, maternal working status in Profile 3, and pre-pregnancy underweight status in Profile 4. Notably, both Profiles 3 and 4 were also linked to increased feelings of loneliness since the onset of the COVID-19 pandemic.
Conclusion
This study represents the first application of LPA to MIB, revealing distinct subtypes and their respective risk profiles. These insights promise to enhance and personalize early interventions for difficulties in MIB, affirming the necessity of acknowledging MIB’s heterogeneity.
期刊介绍:
Archives of Women’s Mental Health is the official journal of the International Association for Women''s Mental Health, Marcé Society and the North American Society for Psychosocial Obstetrics and Gynecology (NASPOG). The exchange of knowledge between psychiatrists and obstetrician-gynecologists is one of the major aims of the journal. Its international scope includes psychodynamics, social and biological aspects of all psychiatric and psychosomatic disorders in women. The editors especially welcome interdisciplinary studies, focussing on the interface between psychiatry, psychosomatics, obstetrics and gynecology. Archives of Women’s Mental Health publishes rigorously reviewed research papers, short communications, case reports, review articles, invited editorials, historical perspectives, book reviews, letters to the editor, as well as conference abstracts. Only contributions written in English will be accepted. The journal assists clinicians, teachers and researchers to incorporate knowledge of all aspects of women’s mental health into current and future clinical care and research.