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Leistikow N, Smith MH. The role of sleep protection in preventing and treating postpartum depression. Semin Perinatol 2024:151947. [PMID: 39048415 DOI: 10.1016/j.semperi.2024.151947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Abstract
Postpartum sleep disruption is a risk factor for postpartum depression (PPD) as well as a potential treatment target. In the first 6 months after delivery, when the risk of PPD is greatest, fragmented maternal sleep is most often related to necessary infant night feedings. Clinicians' conversations about planning for and navigating postpartum sleep should include questions about patient expectations, cultural traditions, and available support. For women at high risk of PPD, or with moderate to severe PPD or other symptoms of mental illness, protecting one 4-5 hour period of consolidated nighttime sleep may be necessary and effective. This can be achieved by having another adult step in for 1-2 infant night feedings or by employing other strategies. OBs can encourage high-risk patients to develop a postpartum plan for sleep protection by initiating this conversation during pregnancy.
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Affiliation(s)
- Nicole Leistikow
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Milena H Smith
- Department of Psychiatry & Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Tzitiridou-Chatzopoulou M, Orovou E, Zournatzidou G. Digital Training for Nurses and Midwives to Improve Treatment for Women with Postpartum Depression and Protect Neonates: A Dynamic Bibliometric Review Analysis. Healthcare (Basel) 2024; 12:1015. [PMID: 38786425 PMCID: PMC11120917 DOI: 10.3390/healthcare12101015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 05/07/2024] [Accepted: 05/11/2024] [Indexed: 05/25/2024] Open
Abstract
The high prevalence of postpartum depression makes it necessary for midwives and nurses to implement prenatal interventions for expectant mothers. The current study aims to investigate and highlight the importance of the digital training of nurses in order to help women mitigate the symptoms of postpartum depression and protect infants. To approach this, we conducted a bibliometric analysis to address the study's main objective. Articles were retrieved from the Scopus database for the timeframe 2000-2023. Data analysis was conducted using the statistical programming language R (version R-4.4.) and the bibliometric software VOSviewer (version 1.6.20) and Biblioshiny (version 4.1.4), focused on year, journal, and country. For this investigation, we selected a total of 31 MeSH keywords and sub-headings that exhibited significant frequencies. We consistently used six significant clusters of MeSH keywords. We obtained a total of 585 articles from the Scopus database that were major contributors to the field of PPD, as evidenced by their extensive publication of research articles and their influential role in the domain. The studies included a thorough analysis of depression research, the use of scales for diagnosing and screening PPD, psychological studies related to PPD, and the exploration of causes, mechanisms, outcomes, and genetic factors. Our study's results demonstrate a steady and significant increase in the availability of information on PPD. Importantly, the novelty of the current study lies in highlighting the need for a transition in the ways in which nurses and midwives are trained to mitigate postpartum disease by integrating emerging technologies into their practices. The knowledge provided here has the potential to serve as a foundation for future advancements in obstetric psychology, both presently and in the future.
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Affiliation(s)
- Maria Tzitiridou-Chatzopoulou
- Midwifery Department, School of Healthcare Sciences, University of Western Macedonia, Koila, 50100 Kozani, Greece; (M.T.-C.); (E.O.)
| | - Eirini Orovou
- Midwifery Department, School of Healthcare Sciences, University of Western Macedonia, Koila, 50100 Kozani, Greece; (M.T.-C.); (E.O.)
| | - Georgia Zournatzidou
- Department of Accounting and Finance, Hellenic Mediterranean University, 71410 Heraklion, Greece
- Department of Business Administration, University of Western Macedonia, 50100 Kozani, Greece
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Hu L, Mei H, Cai X, Song L, Xu Q, Gao W, Zhang D, Zhou J, Sun C, Li Y, Xiang F, Wang Y, Zhou A, Xiao H. Prenatal exposure to poly- and perfluoroalkyl substances and postpartum depression in women with twin pregnancies. Int J Hyg Environ Health 2024; 256:114324. [PMID: 38271819 DOI: 10.1016/j.ijheh.2024.114324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/18/2024] [Accepted: 01/18/2024] [Indexed: 01/27/2024]
Abstract
BACKGROUND Women with multiple pregnancies are vulnerable to experience postpartum depression (PPD). Emerging evidence indicates an association between poly- and perfluoroalkyl substances (PFAS) exposure and PPD in women delivering singletons. The health risks of PFAS may also be present in women delivering twins. OBJECTIVE To estimate the impacts of prenatal PFAS exposure on the risk of PPD in women with twin pregnancies. METHODS Our study included 150 mothers who gave birth to twins and were enrolled in the Wuhan Twin Birth Cohort. The concentrations of maternal plasma PFAS were measured in each trimester and averaged. Eight individual PFAS were included in analyses. We used Edinburgh Postnatal Depression Scale to evaluate maternal depression at early pregnancy and 1 and 6 months after childbirth. The outcome was dichotomized using a cutoff value of ≥10 for main analyses. Associations were examined using multiple informant models and modified Poisson regressions. PFAS mixture effects were estimated using quantile g-computation. RESULTS Using quantile g-computation models, a quartile increase in the PFAS mixture during the first, second, third, and average pregnancy was significantly associated with a relative risk (RR) of 1.73 (95% CI: 1.42, 2.12), 1.54 (95% CI: 1.27, 1.84), 1.75 (95% CI: 1.49, 2.08), and 1.63 (95% CI: 1.35, 1.97) for PPD at 6 months after childbirth, respectively. The results of the single-PFAS models also indicated significant positive associations between individual PFAS and PPD at both 1 and 6 months. CONCLUSIONS The first study of women with twin pregnancies suggests that prenatal exposure to PFAS increases PPD risk up to 6 months postpartum. Twin pregnant women should receive long-term follow-up after delivery and extensive social support.
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Affiliation(s)
- Liqin Hu
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Hong Mei
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Xiaonan Cai
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Lulu Song
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, PR China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Qiao Xu
- Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Wenqi Gao
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Dan Zhang
- Woman Healthcare Department for Community, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Jieqiong Zhou
- Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Chen Sun
- Maternal Health Care Department, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Yi Li
- Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Feiyan Xiang
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Youjie Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, PR China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Aifen Zhou
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
| | - Han Xiao
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
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