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Wang Y, Yan P, Wang G, Liu Y, Xiang J, Song Y, Wei L, Chen P, Ren J. Trajectory on postpartum depression of Chinese women and the risk prediction models: A machine-learning based three-wave follow-up research. J Affect Disord 2024; 365:185-192. [PMID: 39154983 DOI: 10.1016/j.jad.2024.08.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 07/06/2024] [Accepted: 08/12/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND Our study delves into postpartum depression (PPD) extending observation up to six months postpartum, addressing the gap in long-term follow-ups and uncover critical intervention points. METHOD Through a continuous three-wave cohort study involving 3174 of 10,730 invited postpartum women, we utilized machine learning to predict PPD risk, incorporating self-reported surveys and health records from October 2021 to Jan 2023. RESULTS PPD prevalence slightly decreased from 30.9 % to 29.1 % over six months. The Random Forest model emerged as the most effective, identifying key predictors of PPD at different stages. The top three factors at first month were newborn's birth weight, maternal weight before delivery and before pregnancy. The EPDS scores of last time, newborn's birth weight and maternal weight before pregnancy and before delivery were main predictors for EPDS scores at third and sixth months postpartum. LIMITATION The study faces limitations such as potential selection bias due to the convenience sampling method and the reliance on self-reported measures, which may introduce reporting bias. Furthermore, the high attrition rate could affect the representativeness of the sample and the generalizability of the findings. CONCLUSION There is a slight decrease in PPD rates over six months, yet the prevalence remains high. This underscores the need for early and ongoing mental health support for new mothers. Our study highlights the efficacy of machine learning in enhancing PPD risk assessment and tailoring intervention strategies, paving the way for more personalized healthcare approaches in postpartum care.
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Affiliation(s)
- Yu Wang
- Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Ping Yan
- Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Guan Wang
- West China School of Nursing, Sichuan University, China
| | - Yi Liu
- Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Jie Xiang
- Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Yujia Song
- School of Computer and Software Engineering, Xihua University, China
| | - Lin Wei
- Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Peng Chen
- School of Computer and Software Engineering, Xihua University, China
| | - Jianhua Ren
- Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China; West China School of Nursing, Sichuan University, China.
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Yuen M, Hall OJ, Masters GA, Nephew BC, Carr C, Leung K, Griffen A, McIntyre L, Byatt N, Moore Simas TA. The Effects of Breastfeeding on Maternal Mental Health: A Systematic Review. J Womens Health (Larchmt) 2022; 31:787-807. [PMID: 35442804 DOI: 10.1089/jwh.2021.0504] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Breastfeeding has many positive effects on the health of infants and mothers, however, the effect of breastfeeding on maternal mental health is largely unknown. The goal of this systematic review was to (1) synthesize the existing literature on the effects of breastfeeding on maternal mental health, and (2) inform breastfeeding recommendations. Materials and Methods: A literature search was conducted in electronic databases using search terms related to breastfeeding (e.g., breastfeeding, infant feeding practices) and mental health conditions (e.g., mental illness, anxiety, depression), resulting in 1,110 records. After reviewing article titles and abstracts, 339 articles were advanced to full-text review. Fifty-five articles were included in the final analysis. Results: Thirty-six studies reported significant relationships between breastfeeding and maternal mental health outcomes, namely symptoms of postpartum depression and anxiety: 29 found that breastfeeding is associated with fewer mental health symptoms, one found it was associated with more, and six reported a mixed association between breastfeeding and mental health. Five studies found that breastfeeding challenges were associated with a higher risk of negative mental health symptoms. Conclusions: Overall, breastfeeding was associated with improved maternal mental health outcomes. However, with challenges or a discordance between breastfeeding expectations and actual experience, breastfeeding was associated with negative mental health outcomes. Breastfeeding recommendations should be individualized to take this into account. Further research, specifically examining the breastfeeding experiences of women who experienced mental health conditions, is warranted to help clinicians better personalize breastfeeding and mental health counseling.
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Affiliation(s)
- Megan Yuen
- T.H. Chan School of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Olivia J Hall
- T.H. Chan School of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Grace A Masters
- T.H. Chan School of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | | | - Catherine Carr
- T.H. Chan School of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Katherine Leung
- T.H. Chan School of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Adrienne Griffen
- Maternal Mental Health Leadership Alliance, Arlington, Virginia, USA
| | | | - Nancy Byatt
- T.H. Chan School of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.,UMass Memorial Health, Worcester, Massachusetts, USA
| | - Tiffany A Moore Simas
- T.H. Chan School of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.,UMass Memorial Health, Worcester, Massachusetts, USA
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Petrov ME, Jiao N, Panchanathan SS, Reifsnider E, Coonrod DV, Liu L, Krajmalnik-Brown R, Gu H, Davidson LA, Chapkin RS, Whisner CM. Protocol of the Snuggle Bug/Acurrucadito Study: a longitudinal study investigating the influences of sleep-wake patterns and gut microbiome development in infancy on rapid weight gain, an early risk factor for obesity. BMC Pediatr 2021; 21:374. [PMID: 34465311 PMCID: PMC8405858 DOI: 10.1186/s12887-021-02832-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 08/09/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Overweight, obesity, and associated comorbidities are a pressing global issue among children of all ages, particularly among low-income populations. Rapid weight gain (RWG) in the first 6 months of infancy contributes to childhood obesity. Suboptimal sleep-wake patterns and gut microbiota (GM) have also been associated with childhood obesity, but little is known about their influences on early infant RWG. Sleep may alter the GM and infant metabolism, and ultimately impact obesity; however, data on the interaction between sleep-wake patterns and GM development on infant growth are scarce. In this study, we aim to investigate associations of infant sleep-wake patterns and GM development with RWG at 6 months and weight gain at 12 months. We also aim to evaluate whether temporal interactions exist between infant sleep-wake patterns and GM, and if these relations influence RWG. METHODS The Snuggle Bug/ Acurrucadito study is an observational, longitudinal study investigating whether 24-h, actigraphy-assessed, sleep-wake patterns and GM development are associated with RWG among infants in their first year. Based on the Ecological Model of Growth, we propose a novel conceptual framework to incorporate sleep-wake patterns and the GM as metabolic contributors for RWG in the context of maternal-infant interactions, and familial and socio-physical environments. In total, 192 mother-infant pairs will be recruited, and sleep-wake patterns and GM development assessed at 3 and 8 weeks, and 3, 6, 9, and 12 months postpartum. Covariates including maternal and child characteristics, family and environmental factors, feeding practices and dietary intake of infants and mothers, and stool-derived metabolome and exfoliome data will be assessed. The study will apply machine learning techniques combined with logistic time-varying effect models to capture infant growth and aid in elucidating the dynamic associations between study variables and RWG. DISCUSSION Repeated, valid, and objective assessment at clinically and developmentally meaningful intervals will provide robust measures of longitudinal sleep, GM, and growth. Project findings will provide evidence for future interventions to prevent RWG in infancy and subsequent obesity. The work also may spur the development of evidence-based guidelines to address modifiable factors that influence sleep-wake and GM development and prevent childhood obesity.
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Affiliation(s)
- Megan E Petrov
- Edson College of Nursing and Health Innovation, Arizona State University, 550 N. 3rd Street, Suite 301, Phoenix, AZ, 85004, USA
| | - Nana Jiao
- Edson College of Nursing and Health Innovation, Arizona State University, 550 N. 3rd Street, Suite 301, Phoenix, AZ, 85004, USA
| | - Sarada S Panchanathan
- Valleywise Comprehensive Health Center - Phoenix (Pediatric Clinic), 2525 E. Roosevelt St., Phoenix, AZ, 85008, USA
- College of Medicine Phoenix, University of Arizona, Phoenix, AZ, 85007, USA
| | - Elizabeth Reifsnider
- Edson College of Nursing and Health Innovation, Arizona State University, 550 N. 3rd Street, Suite 301, Phoenix, AZ, 85004, USA
| | - Dean V Coonrod
- Valleywise Health, Department of Obstetrics and Gynecology, 2525 E. Roosevelt St., Phoenix, AZ, 85008, USA
| | - Li Liu
- Biodesign Institute, Arizona State University, 1001 S. McAllister Ave BDA230B, Tempe, AZ, 85287, USA
| | - Rosa Krajmalnik-Brown
- Biodesign Swette Center for Environmental Biotechnology, Arizona State University, 1001 S. McAllister Ave, PO Box 875701, Tempe, AZ, 85287, USA
| | - Haiwei Gu
- College of Health Solutions, Arizona State University, 550 N. 3rd. Street, Suite 501, Phoenix, AZ, 85004, USA
| | - Laurie A Davidson
- Department of Nutrition and Food Science, Program in Integrative Nutrition and Complex Diseases, Texas A&M University, 2253 TAMU, 112 Cater-Mattil, College Station, TX, 77843, USA
| | - Robert S Chapkin
- Department of Nutrition and Food Science, Program in Integrative Nutrition and Complex Diseases, Texas A&M University, 2253 TAMU, 112 Cater-Mattil, College Station, TX, 77843, USA
| | - Corrie M Whisner
- College of Health Solutions, Arizona State University, 550 N. 3rd. Street, Suite 501, Phoenix, AZ, 85004, USA.
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Heesen P, Halpern SH, Beilin Y, Mauri PA, Eidelman LA, Heesen M, Orbach-Zinger S. Labor neuraxial analgesia and breastfeeding: An updated systematic review. J Clin Anesth 2020; 68:110105. [PMID: 33069970 DOI: 10.1016/j.jclinane.2020.110105] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/06/2020] [Accepted: 10/10/2020] [Indexed: 11/18/2022]
Abstract
INTRODUCTION There have been numerous reports studying the effect of neuraxial analgesia on breastfeeding success, but the results are inconsistent. METHODS We performed a literature search in various databases for studies comparing neuraxial analgesia to non-neuraxial or no analgesia. Outcomes were the percentage of women breastfeeding fully or mixed with formula. Where possible, nulliparous parturients were analyzed separately. We conducted an analysis excluding studies of serious and critical risk of bias. Odds ratios and 95% confidence intervals were calculated. RESULTS We included 15 studies (13 observational studies, 1 secondary analysis of a randomized controlled trial, 1 case-control study) with 16,112 participants. Overall, there were 6 studies that found no difference between groups, 6 studies that showed a significantly lower incidence of breastfeeding in the neuraxial group and 3 studies finding mixed results (at some time-points statistically significant and at some time-point statistically non-significant results). In nulliparous only studies, 2 found no difference between study groups, 1 found a lower breastfeeding rate in the neuraxial group and 3 studies showed mixed results. Excluding studies with a serious and critical risk of bias, 1 study found no difference between study groups, 3 studies found a decrease of breastfeeding rates in the neuraxial group, and 1 study showed mixed results. DISCUSSION In our review we found a high disparity in results. One reason is probably the high potential of confounding (immediate skin to skin placement, maternity leave etc.). Education programs and breastfeeding support are likely more important in determining long term breastfeeding success.
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Affiliation(s)
- Philip Heesen
- Faculty of Medicine, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
| | - Stephen H Halpern
- Department of Anesthesia, University of Toronto and Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada.
| | - Yaakov Beilin
- Department of Anesthesiology, Perioperative and Pain Medicine, and Obstetrics, Gynecology and Reproductive Sciences, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY 10029, USA.
| | - Paola A Mauri
- School of Midwifery, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via della Commenda 19, 20122 Milano, Italy; Department of Mother Child and Newborn Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Italy.
| | - Leonid A Eidelman
- Department of Anesthesia, Rabin Medical Center, Beilinson Hospital, Zeev Jabutinskiy Rd 39, Petah Tikva 49100, Israel.
| | - Michael Heesen
- Department of Anesthesia, Kantonsspital Baden, Im Ergel 1, 5404 Baden, Switzerland.
| | - Sharon Orbach-Zinger
- Department of Anesthesia, Rabin Medical Center, Beilinson Hospital, Zeev Jabutinskiy Rd 39, Petah Tikva 49100, Israel.
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Barreiro R, Regal P, López-Racamonde O, Cepeda A, Fente C. Evolution of breast milk fatty acids in Spanish mothers after one year of uninterrupted lactation. Prostaglandins Leukot Essent Fatty Acids 2020; 159:102141. [PMID: 32505121 DOI: 10.1016/j.plefa.2020.102141] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 05/25/2020] [Indexed: 11/15/2022]
Abstract
The WHO recommends exclusive breastfeeding of infants for the first sixth months of life and advises that it shall continue for up to two years of age or beyond in combination with complementary foods. However, the image of a woman breastfeeding a toddler or a preschooler is unusual in western societies. Exploring the nutritional properties of milk during prolonged lactation can help normalizing prolonged breastfeeding. Human milk fatty acid composition was determined in sixteen lactating mothers practicing prolonged lactation (≥12 months) and sixteen women on their first twelve months of lactation. Breast milk after one year is richer in saturated fatty acids, particularly lauric and myristic, showing a tendency towards lower levels of oleic acid, and higher of arachidonic, α-linolenic and docosahexaenoic acids, in comparison to early milk (< 1 year). The age and body condition of the mother, parity, sex of the baby, and diet influence also the fattyacidome of milk.
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Affiliation(s)
- R Barreiro
- Department of Analytical Chemistry, Nutrition and Bromatology, Universidade de Santiago de Compostela, Lugo, Spain
| | - P Regal
- Department of Analytical Chemistry, Nutrition and Bromatology, Universidade de Santiago de Compostela, Lugo, Spain.
| | - O López-Racamonde
- Department of Analytical Chemistry, Nutrition and Bromatology, Universidade de Santiago de Compostela, Lugo, Spain; Midwifery Service at San Roque Health Center, SERGAS (Servizo Galego de Saúde), Lugo, Spain
| | - A Cepeda
- Department of Analytical Chemistry, Nutrition and Bromatology, Universidade de Santiago de Compostela, Lugo, Spain
| | - C Fente
- Department of Analytical Chemistry, Nutrition and Bromatology, Universidade de Santiago de Compostela, Lugo, Spain
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Shin CN, Reifsnider E, McClain D, Jeong M, McCormick DP, Moramarco M. Acculturation, Cultural Values, and Breastfeeding in Overweight or Obese, Low-Income, Hispanic Women at 1 Month Postpartum. J Hum Lact 2018. [PMID: 29543552 DOI: 10.1177/0890334417753942] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Most Hispanic infants are fed formula during the first 6 weeks, and although 80% of Hispanic women initiate breastfeeding, rates of exclusive breastfeeding are much lower. Research aim: The purpose was to examine the influence of acculturation and cultural values on the breastfeeding practices of pregnant women of Mexican descent participating in the Special Supplemental Nutrition Program for Women, Infants, and Children who were enrolled in a prospective randomized clinical trial that aimed to reduce child obesity. The data were abstracted from a larger randomized clinical trial focused on prevention of child obesity. METHODS The sample consisted of 150 women of Mexican origin who were enrolled at the time of these analyses from the randomized clinical trial and had a prepregnancy body mass index of ≥ 25 and spoke English and/or Spanish. All breastfeeding data for this report came from data collection at 1 month postpartum. RESULTS A higher score on the Anglo orientation scale of the Acculturation Rating Scale for Mexican Americans was associated with less breastfeeding at 1 month postpartum and less exclusive breastfeeding. CONCLUSION Acculturation plays a role in breastfeeding practice. Exploring acculturation associated with breastfeeding can guide us to design culturally relevant interventions to promote breastfeeding exclusivity among immigrant mothers.
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Affiliation(s)
- Cha-Nam Shin
- 1 College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Elizabeth Reifsnider
- 1 College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Darya McClain
- 1 College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Mihyun Jeong
- 1 College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - David P McCormick
- 2 School of Medicine, University of Texas Medical Branch, Galveston, TX, USA
| | - Michael Moramarco
- 1 College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
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