Cargando…
Maternal postpartum depression literacy subtypes: A latent profile analysis
AIM: To explore the potential categories and characteristic differences of maternal postpartum depression literacy. DESIGN: Cross-sectional survey. METHODS: From February 2023 to April 2023, convenience sampling was used to survey 278 women attending postnatal visits to three tertiary level A hospit...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585387/ https://www.ncbi.nlm.nih.gov/pubmed/37867796 http://dx.doi.org/10.1016/j.heliyon.2023.e20957 |
_version_ | 1785122944937099264 |
---|---|
author | Li, Kangfen Lu, Jie Pang, Yan Zheng, Xinlie Liu, Ran Ren, Min Tu, Suhua |
author_facet | Li, Kangfen Lu, Jie Pang, Yan Zheng, Xinlie Liu, Ran Ren, Min Tu, Suhua |
author_sort | Li, Kangfen |
collection | PubMed |
description | AIM: To explore the potential categories and characteristic differences of maternal postpartum depression literacy. DESIGN: Cross-sectional survey. METHODS: From February 2023 to April 2023, convenience sampling was used to survey 278 women attending postnatal visits to three tertiary level A hospitals. The study included general demographic characteristics, postpartum depression literacy scale, and family caring index scale. Latent profile analysis was performed to identify the categories of maternal postpartum depression literacy, and multiple disordered logistic regression was used to analyze the influencing factors of different categories. RESULTS: Maternal postpartum depression literacy was divided into three categories: low literacy (41.0 %), moderate literacy (32.4 %), and high literacy (26.6 %). The results showed that work status, education level, whether the pregnancy was planned, whether or not they had participated in mental health-related courses, and family functioning status were factors influencing the category of maternal postpartum depression literacy (P < 0.05). CONCLUSION: There was heterogeneity in postpartum depression literacy among mothers. Medical staff should implement targeted interventions according to potential category characteristics and influencing factors to improve the level of postpartum depression literacy. |
format | Online Article Text |
id | pubmed-10585387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105853872023-10-20 Maternal postpartum depression literacy subtypes: A latent profile analysis Li, Kangfen Lu, Jie Pang, Yan Zheng, Xinlie Liu, Ran Ren, Min Tu, Suhua Heliyon Research Article AIM: To explore the potential categories and characteristic differences of maternal postpartum depression literacy. DESIGN: Cross-sectional survey. METHODS: From February 2023 to April 2023, convenience sampling was used to survey 278 women attending postnatal visits to three tertiary level A hospitals. The study included general demographic characteristics, postpartum depression literacy scale, and family caring index scale. Latent profile analysis was performed to identify the categories of maternal postpartum depression literacy, and multiple disordered logistic regression was used to analyze the influencing factors of different categories. RESULTS: Maternal postpartum depression literacy was divided into three categories: low literacy (41.0 %), moderate literacy (32.4 %), and high literacy (26.6 %). The results showed that work status, education level, whether the pregnancy was planned, whether or not they had participated in mental health-related courses, and family functioning status were factors influencing the category of maternal postpartum depression literacy (P < 0.05). CONCLUSION: There was heterogeneity in postpartum depression literacy among mothers. Medical staff should implement targeted interventions according to potential category characteristics and influencing factors to improve the level of postpartum depression literacy. Elsevier 2023-10-12 /pmc/articles/PMC10585387/ /pubmed/37867796 http://dx.doi.org/10.1016/j.heliyon.2023.e20957 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Li, Kangfen Lu, Jie Pang, Yan Zheng, Xinlie Liu, Ran Ren, Min Tu, Suhua Maternal postpartum depression literacy subtypes: A latent profile analysis |
title | Maternal postpartum depression literacy subtypes: A latent profile analysis |
title_full | Maternal postpartum depression literacy subtypes: A latent profile analysis |
title_fullStr | Maternal postpartum depression literacy subtypes: A latent profile analysis |
title_full_unstemmed | Maternal postpartum depression literacy subtypes: A latent profile analysis |
title_short | Maternal postpartum depression literacy subtypes: A latent profile analysis |
title_sort | maternal postpartum depression literacy subtypes: a latent profile analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585387/ https://www.ncbi.nlm.nih.gov/pubmed/37867796 http://dx.doi.org/10.1016/j.heliyon.2023.e20957 |
work_keys_str_mv | AT likangfen maternalpostpartumdepressionliteracysubtypesalatentprofileanalysis AT lujie maternalpostpartumdepressionliteracysubtypesalatentprofileanalysis AT pangyan maternalpostpartumdepressionliteracysubtypesalatentprofileanalysis AT zhengxinlie maternalpostpartumdepressionliteracysubtypesalatentprofileanalysis AT liuran maternalpostpartumdepressionliteracysubtypesalatentprofileanalysis AT renmin maternalpostpartumdepressionliteracysubtypesalatentprofileanalysis AT tusuhua maternalpostpartumdepressionliteracysubtypesalatentprofileanalysis |