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Neda-Stepan O, Giurgi-Oncu C, Sălcudean A, Bernad E, Bernad BC, Enătescu VR. The Influence of Personality Traits on Postpartum Depression: A Systematic Review Based on the NEO-FFI Scale. Diseases 2024; 12:82. [PMID: 38785737 PMCID: PMC11120481 DOI: 10.3390/diseases12050082] [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: 03/11/2024] [Revised: 04/20/2024] [Accepted: 04/23/2024] [Indexed: 05/25/2024] Open
Abstract
Postpartum depression (PPD) is a significant global health concern with profound implications for mothers, families, and societies. This systematic review aims to synthesize current research findings to understand better how personality traits, as assessed by the NEO Five-Factor Inventory (NEO-FFI), contribute to the development and progression of PPD. Conducted in January 2024, this review searched major databases like PubMed, PsycINFO, and Scopus up to December 2023, focusing on the NEO-FFI's role in evaluating PPD. Following PRISMA guidelines, studies were selected based on strict criteria, including the exclusive use of NEO-FFI for personality assessment and a focus on postpartum women. A total of seven studies were included after a rigorous two-step screening process, and their data were qualitatively synthesized. The review covered a total of 4172 participants, with a prevalence of clinically significant postpartum depression symptoms ranging from 10.6% to 51.7%. Notably, Neuroticism emerged as a significant predictor of PPD, with odds ratios ranging from 1.07 (95% CI: 0.96-1.20) in some studies to as high as 1.87 (95% CI: 1.53-2.27) in others. In contrast, traits like Extraversion and Conscientiousness generally showed protective effects, with lower scores associated with reduced PPD risk. For instance, Extraversion scores correlated negatively with PPD risk (Beta = -0.171) in one study. However, the impact of other traits such as Openness and Agreeableness on PPD risk was less clear, with some studies indicating negligible effects. The review highlights Neuroticism as a consistent and significant predictor of PPD risk, with varying impacts from other personality traits. The findings suggest potential pathways for targeted interventions in maternal mental health care, emphasizing the need for comprehensive personality evaluations in prenatal and postnatal settings.
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Affiliation(s)
- Oana Neda-Stepan
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (O.N.-S.); (B.-C.B.)
- Department VIII—Neurosciences, Discipline of Psychiatry, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (C.G.-O.); (V.R.E.)
| | - Cătălina Giurgi-Oncu
- Department VIII—Neurosciences, Discipline of Psychiatry, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (C.G.-O.); (V.R.E.)
| | - Andreea Sălcudean
- Discipline of Sociobiology, Department of Ethics and Social Sciences, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, 540136 Targu Mures, Romania
| | - Elena Bernad
- Department of Obstetrics and Gynecology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania;
| | - Brenda-Cristiana Bernad
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (O.N.-S.); (B.-C.B.)
| | - Virgil Radu Enătescu
- Department VIII—Neurosciences, Discipline of Psychiatry, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (C.G.-O.); (V.R.E.)
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Alcantarilla L, López-Castro M, Betriu M, Torres A, Garcia C, Solé E, Gelabert E, Roca-Lecumberri A. Risk factors for relapse or recurrence in women with bipolar disorder and recurrent major depressive disorder in the perinatal period: a systematic review. Arch Womens Ment Health 2023; 26:737-754. [PMID: 37718376 DOI: 10.1007/s00737-023-01370-9] [Citation(s) in RCA: 1] [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: 03/26/2023] [Accepted: 09/08/2023] [Indexed: 09/19/2023]
Abstract
It is well known that the perinatal period supposes a considerable risk of relapse for women with bipolar disorder (BD) and recurrent major depressive disorder (rMDD), with the consequences that this entails. Therefore, the authors sought to provide a critical appraisal of the evidence related to specific risk factors for this population with the aim of improving the prevention of relapses during pregnancy and postpartum. The authors conducted a systematic review assessing 18 original studies that provided data on risk factors for relapse or recurrence of BD and/or rMDD in the perinatal period (pregnancy and postpartum). Recurrences of BD and rMDD are more frequent in the postpartum period than in pregnancy, with the first 4-6 weeks postpartum being especially complicated. In addition, women with BD type I are at higher risk than those with BD type II and rMDD, and the most frequent presentation of perinatal episodes of both disorders is a major depressive episode. Other risk factors consistently repeated were early age of onset of illnesses, severity criteria, primiparity, abrupt discontinuation of treatment, and personal or family history of perinatal affective episodes. This review shows that there are common and different risk factors according to the type of disorder and to perinatal timing (pregnancy or postpartum) that should be known for an adequate prevention of relapses.
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Affiliation(s)
- Laura Alcantarilla
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
- Psychiatry Service, Hospital de Sagunto, Valencia, Spain
| | - María López-Castro
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
- Psychiatry Service, Sant Pau's Biomedical Research Institute (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Maria Betriu
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Anna Torres
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Cristina Garcia
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Eva Solé
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Estel Gelabert
- Department of Clinical Psychology and Health, Autonomous University of Barcelona, Barcelona, Spain
| | - Alba Roca-Lecumberri
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain.
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Personality traits as a risk factor for postpartum depression: A systematic review and meta-analysis. J Affect Disord 2022; 298:577-589. [PMID: 34763034 DOI: 10.1016/j.jad.2021.11.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 10/30/2021] [Accepted: 11/03/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Certain personality traits increase vulnerability to depression, but the evidence linking personality and postpartum depression (PPD) is less robust. This systematic review aimed to identify personality traits that increase the risk of PPD. METHODS We systematically reviewed studies retrieved from PubMed/Medline, PsycINFO, Scopus, CINAHL, and Cochrane, following the PRISMA guidelines for reporting. We carried out a meta-analysis on the association between neuroticism and PPD. RESULTS A total of 34 studies were analyzed. Of these, 31 considered at least one trait associated with PPD; 10 studies considered at least one trait not associated with PPD. The meta-analysis included 13 studies, concluding that neuroticism was associated with PPD (OR: 1.37; 95%CI: 1.22-1.53; p<0.001). LIMITATIONS Study design and approach to personality assessment influence results. Prospective longitudinal studies of persons with no prior history of mood disorder would provide stronger evidence about whether particular personality traits predict PPD. Most studies reviewed used self-report measures to assess personality. Study design and approach to personality assessment influence results, and indications of publication bias were found. CONCLUSIONS Neuroticism is the personality trait most widely studied in relation to PPD. Our meta-analysis found this trait is strongly related with PPD. Moreover, vulnerable personality style and trait anxiety are also associated with PPD. Screening for these traits might help identify women at risk, improving prevention, early detection, and possibly treatment.
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Khan K, Tareen AK, Aslam M, Sagar RUR, Zhang B, Huang W, Mahmood A, Mahmood N, Khan K, Zhang H, Guo Z. Recent Progress, Challenges, and Prospects in Two-Dimensional Photo-Catalyst Materials and Environmental Remediation. NANO-MICRO LETTERS 2020; 12:167. [PMID: 34138161 PMCID: PMC7770787 DOI: 10.1007/s40820-020-00504-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 07/12/2020] [Indexed: 05/03/2023]
Abstract
The successful photo-catalyst library gives significant information on feature that affects photo-catalytic performance and proposes new materials. Competency is considerably significant to form multi-functional photo-catalysts with flexible characteristics. Since recently, two-dimensional materials (2DMs) gained much attention from researchers, due to their unique thickness-dependent uses, mainly for photo-catalytic, outstanding chemical and physical properties. Photo-catalytic water splitting and hydrogen (H2) evolution by plentiful compounds as electron (e-) donors is estimated to participate in constructing clean method for solar H2-formation. Heterogeneous photo-catalysis received much research attention caused by their applications to tackle numerous energy and environmental issues. This broad review explains progress regarding 2DMs, significance in structure, and catalytic results. We will discuss in detail current progresses of approaches for adjusting 2DMs-based photo-catalysts to assess their photo-activity including doping, hetero-structure scheme, and functional formation assembly. Suggested plans, e.g., doping and sensitization of semiconducting 2DMs, increasing electrical conductance, improving catalytic active sites, strengthening interface coupling in semiconductors (SCs) 2DMs, forming nano-structures, building multi-junction nano-composites, increasing photo-stability of SCs, and using combined results of adapted approaches, are summed up. Hence, to further improve 2DMs photo-catalyst properties, hetero-structure design-based 2DMs' photo-catalyst basic mechanism is also reviewed.
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Affiliation(s)
- Karim Khan
- School of Electrical Engineering and Intelligentization, Dongguan University of Technology (DGUT), Dongguan, 523808, Guangdong, People's Republic of China.
- Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro-Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, 518060, People's Republic of China.
| | - Ayesha Khan Tareen
- Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro-Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, 518060, People's Republic of China
- College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, People's Republic of China
| | - Muhammad Aslam
- Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro-Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, 518060, People's Republic of China
- Government Degree College Paharpur, Gomel University, Dera Ismail Khan, K.P.K, Islamic Republic of Pakistan
| | - Rizwan Ur Rehman Sagar
- School of Materials Science and Engineering, Jiangxi University of Science and Technology, Jiangxi, 341000, People's Republic of China
| | - Bin Zhang
- Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro-Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, 518060, People's Republic of China
| | - Weichun Huang
- Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro-Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, 518060, People's Republic of China
| | - Asif Mahmood
- School of Chemical and Bio-Molecular Engineering, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Nasir Mahmood
- School of Engineering, The Royal Melbourne Institute of Technology (RMIT) University, Melbourne, VIC, Australia
| | - Kishwar Khan
- Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Han Zhang
- Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro-Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, 518060, People's Republic of China.
| | - Zhongyi Guo
- School of Electrical Engineering and Intelligentization, Dongguan University of Technology (DGUT), Dongguan, 523808, Guangdong, People's Republic of China.
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Perry A, Gordon-Smith K, Di Florio A, Fraser C, Craddock N, Jones L, Jones I. Adverse childhood experiences and postpartum depression in bipolar disorder. J Affect Disord 2020; 263:661-666. [PMID: 31744744 DOI: 10.1016/j.jad.2019.11.042] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 09/24/2019] [Accepted: 11/09/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Women are particularly vulnerable to recurrence of bipolar disorder (BD) following childbirth. Risk of postpartum psychosis (PP) is especially high, but postpartum depression (PPD) is also common. Adverse childhood experiences (ACEs) have not been associated with PP, but have been associated with PPD in non-bipolar samples. The relationship between ACEs and PPD within BD remains to be investigated. Here, we examined this association in a large, well-defined sample of women with BD. METHODS Participants were 575 parous women with DSM-IV BD. Lifetime psychopathology, including perinatal, was assessed via semi-structured interview and case-notes. ACEs, assessed via self-report and case-notes, were compared between women with lifetime PPD (n = 368) and those without a lifetime history of perinatal mood episodes (n = 207). RESULTS In univariate analysis exposure to 3 or more ACEs, and to childhood abuse specifically, was significantly associated with PPD (p = 0.026 and 0.041 respectively), but this did not remain significant after adjusting for lifetime number of episodes of depression and parity. Post-hoc analysis revealed more frequent episodes of depression to be associated with both a history of 3 or more ACEs and of childhood abuse. LIMITATIONS Limited range of ACEs assessed and potential recall bias. CONCLUSIONS Increased frequency of ACEs and particularly childhood abuse was associated with more frequent lifetime episodes of depression, but not specifically episodes with postpartum onset. Understanding factors that mediate the pathway between ACEs and PPD in BD has implications for risk prediction of PPD.
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Affiliation(s)
- Amy Perry
- Psychological Medicine, University of Worcester, Henwick Grove, Worcester, WR2 6AJ, UK
| | | | - Arianna Di Florio
- Institute of Psychological Medicine & Clinical Neurosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Christine Fraser
- Institute of Psychological Medicine & Clinical Neurosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Nick Craddock
- Institute of Psychological Medicine & Clinical Neurosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Lisa Jones
- Psychological Medicine, University of Worcester, Henwick Grove, Worcester, WR2 6AJ, UK..
| | - Ian Jones
- Institute of Psychological Medicine & Clinical Neurosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK
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Arrais ADR, Araujo TCCFD, Schiavo RDA. Fatores de Risco e Proteção Associados à Depressão Pós-Parto no Pré-Natal Psicológico. PSICOLOGIA: CIÊNCIA E PROFISSÃO 2018. [DOI: 10.1590/1982-3703003342016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Resumo: Esta investigação teve por objetivos gerais: a) identificar fatores de risco e de proteção associados à Depressão Pós-Parto (DPP); e b) avaliar a contribuição do Pré-Natal Psicológico (PNP) como programa de prevenção em Saúde da Mulher. Para tanto, empreendeu-se uma pesquisa-ação organizada em três fases, reunindo um total de 198 gestantes. Na última fase, as participantes foram distribuídas em Grupo Intervenção – GI (n = 47) e Grupo Controle – GC (n = 29). Para coleta de dados, utilizaram-se: Questionário Gestacional, BAI, BDI-II e EPDS. Os dados foram submetidos a análises estatísticas descritivas e comparativas. Não foi possível relacionar variáveis socioeconômicas, participação no PNP e desejo de gravidez com maior risco de DPP. Em contrapartida, verificou-se tal associação quanto a gravidez não planejada e a falta de apoio do pai do bebê. Contrariamente ao GC, não se constatou associação entre ansiedade e depressão gestacionais com a DPP no GI. Nesse grupo, 10,64% das puérperas revelaram tendência para DPP, ao passo que, em GC, 44,83% mostraram tal propensão. Em suma, considera-se que o PNP, somado a fatores de proteção, constitui ação preventiva a ser desenvolvida pelo profissional de Psicologia no contexto do acompanhamento pré e pós-natal.
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Yang F, Gardner CO, Bigdeli T, Gao J, Zhang Z, Tao M, Liu Y, Li Y, Wang G, Shi J, Gao C, Zhang K, Li K, Wang X, Liu L, Sun J, Du B, Shi S, Zhang J, Wu W, Wang X, Shen J, Liu T, Gu D, Liang W, Deng H, Pan J, Yang L, Jian H, Jiang G, Meng H, Miao G, Li Y, Hu C, Huang G, Zhang Y, Chen Y, Ha B, Gao S, Fang X, Mei Q, Hong X, Yang D, Liu T, Fengyu Y, Zhong H, Sang H, Chen G, Cai M, Song Y, Dong J, Shen Z, Zhang W, Wang X, Pan R, Liu X, Li Y, Liu Z, Zhang Q, Li G, Flint J, Kendler KS. Clinical features of and risk factors for major depression with history of postpartum episodes in Han Chinese women: A retrospective study. J Affect Disord 2015; 183:339-46. [PMID: 26052079 DOI: 10.1016/j.jad.2015.05.033] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2014] [Revised: 05/14/2015] [Accepted: 05/14/2015] [Indexed: 02/05/2023]
Abstract
BACKGROUND We sought to investigate the clinical features of and risk factors for recurrent major depression (MD) with history of postpartum episodes (PPD) in Han Chinese women and the differences between first-onset postpartum MD (MD that has its first lifetime depressive episode in the postpartum period) and first-onset non-postpartum MD (MD with history of PPD and has its first lifetime depressive episode in a period other than postpartum). METHODS Data were derived from the China, Oxford and Virginia Commonwealth University Experimental Research on Genetic Epidemiology (CONVERGE) study (N=6017 cases) and analyzed in two steps. We first examined the clinical features of and risk factors for MD patients with (N=981) or without (N=4410) a history of PPD. We then compared the differences between first-onset postpartum MD (N=583) and first-onset non-postpartum MD (N=398) in those with a history of PPD. Linear, logistic and multinomial logistic models were employed to measure the associations. RESULTS A history of PPD was associated with more guilt feelings, greater psychiatric comorbidity, higher neuroticism, earlier onset and more chronicity (OR 0.2-2.8). Severe premenstrual symptoms (PMS) and more childbirths increased the risk of PPD, as did a family history of MD, childhood sexual abuse, stressful life events and lack of social support (OR 1.1-1.3). In the MD with history of PPD subsample, first-onset postpartum MD was associated with fewer recurrent major depressive episodes, less psychiatric comorbidity, lower neuroticism, less severe PMS and fewer disagreements with their husbands (OR 0.5-0.8), but more childbirths (OR 1.2). LIMITATIONS Data were obtained retrospectively through interview and recall bias may have affected the results. CONCLUSIONS MD with history of PPD in Han Chinese women is typically chronic and severe, with particular risk factors including severe PMS and more childbirths. First-onset postpartum MD and first-onset non-postpartum MD can be partly differentiated by their clinical features and risk factors, but are not clearly distinctive.
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Affiliation(s)
- Fuzhong Yang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, No. 600 South Wanping Road, Shanghai, People's Republic of China
| | - Charles O Gardner
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Tim Bigdeli
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Jingfang Gao
- Chinese Traditional Hospital of Zhejiang, No. 54 Youdian Road, Hangzhou, Zhejiang, People's Republic of China
| | - Zhen Zhang
- No. 4 Hospital of Jiangsu University, No. 246 Nanmen Street, Zhenjiang, Jiangsu, People's Republic of China
| | - Ming Tao
- Xinhua Hospital of Zhejiang Province, No. 318 Chaowang Road, Hangzhou, Zhejiang, People's Republic of China
| | - Ying Liu
- The First Hospital of China Medical University, No. 155 North Nanjing Street, Heping District, Shenyang, Liaoning, People's Republic of China
| | - Youhui Li
- No. 1 Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, Henan, People's Republic of China
| | - Gang Wang
- Beijing Anding Hospital of Capital University of Medical Sciences, No. 5 Ankang Hutong, Deshengmen wai, Xicheng District, Beijing, People's Republic of China
| | - Jianguo Shi
- Xian Mental Health Center, No. 15 Yanyin Road, New Qujiang District, Xian, Shaanxi, People's Republic of China
| | - Chengge Gao
- No. 1 Hospital of Medical College of Xian Jiaotong University, No. 277 West Yanta Road, Xian, Shaanxi, People's Republic of China
| | - Kerang Zhang
- No.1 Hospital of Shanxi Medical University, No. 85 South Jiefang Road, Taiyuan, Shanxi, People's Republic of China
| | - Kan Li
- Mental Hospital of Jiangxi Province, No. 43 Shangfang Road, Nanchang, Jiangxi, People's Republic of China
| | - Xumei Wang
- ShengJing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning, People's Republic of China
| | - Lanfen Liu
- Shandong Mental Health Center, No. 49 East Wenhua Road, Jinan, Shandong, People's Republic of China
| | - Jing Sun
- Nanjing Brain Hospital, No. 264 Guangzhou Road, Nanjing, Jiangsu, People's Republic of China
| | - Bo Du
- Hebei Mental Health Center, No. 572 Dongfeng Road, Baoding, Hebei, People's Republic of China
| | - Shenxun Shi
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, No. 600 South Wanping Road, Shanghai, People's Republic of China; Huashan Hospital of Fudan University, No. 12 Middle Wulumuqi Road, Shanghai, People's Republic of China
| | - Jingbei Zhang
- No. 3 Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, Guangdong, People's Republic of China
| | - Wenyuan Wu
- Tongji University Hospital, No. 389 Xincun Road, Shanghai, People's Republic of China
| | - Xueyi Wang
- First Hospital of Hebei Medical University, No. 89 Donggang Road, Shijiazhuang, Hebei, People's Republic of China
| | - Jianhua Shen
- Tianjin Anding Hospital, No. 13 Liulin Road, Hexi District, Tianjin, People's Republic of China
| | - Tiebang Liu
- Shenzhen Kang Ning Hospital, No. 1080, Cuizhu Street, Luohu District, Shenzhen, Guangdong, People's Republic of China
| | - Danhua Gu
- Weihai Mental Health Center, Qilu Avenue, ETDZ, Weihai, Shandong, People's Republic of China
| | - Wei Liang
- Psychiatric Hospital of Henan Province, No. 388 Middle Jianshe Road, Xinxiang, Henan, People's Republic of China
| | - Hong Deng
- Mental Health Center of West China Hospital of Sichuan University, No. 28 South Dianxin Street, Wuhou District, Chengdu, Sichuan, People's Republic of China
| | - Jiyang Pan
- No. 1 Hospital of Jinan University, No. 613 West Huangpu Avenue, Guangzhou, Guangdong, People's Republic of China
| | - Lijun Yang
- Jilin Brain Hospital, No. 98 West Zhongyang Road, Siping, Jilin, People's Republic of China
| | - Hu Jian
- Harbin Medical University, No. 23 Youzheng street, Nangang District, Haerbin, Heilongjiang, People's Republic of China
| | - Guoqin Jiang
- Chongqing Mental Health Center, No. 102 Jinzishan, Jiangbei District, Chongqing, People's Republic of China
| | - Huaqing Meng
- No.1 Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, People's Republic of China
| | - Guodong Miao
- Guangzhou Brain Hospital (Guangzhou Psychiatric Hospital), No. 36 Mingxin Road, Fangcun Avenue, Liwan District, Guangzhou, Guangdong, People's Republic of China
| | - Yi Li
- Dalian No. 7 Hospital, No. 179 Lingshui Road, Ganjingzi District, Dalian, Liaoning, People's Republic of China
| | - Chunmei Hu
- No. 3 Hospital of Heilongjiang Province, No. 135 Jiaotong Road, Beian, Heilongjiang, People's Republic of China
| | - Guoping Huang
- Sichuan Mental Health Center, No. 190, East Jiannan Road, Mianyang, Sichuan, People's Republic of China
| | - Yutang Zhang
- No. 2 Hospital of Lanzhou University, No. 82, Cuiyingmen, Lanzhou, Gansu, People's Republic of China
| | - Yunchun Chen
- Xijing Hospital of No. 4 Military Medical University, No. 17 West Changle Road, Xian, Shaanxi, People's Republic of China
| | - Baowei Ha
- Liaocheng No. 4 Hospital, No. 47 North Huayuan Road, Liaocheng, Shandong, People's Republic of China
| | - Shu Gao
- Ningbo Kang Ning Hospital, No. 1 Zhuangyu Road, Zhenhai District, Ningbo, Zhejiang, People's Republic of China
| | - Xiang Fang
- Fuzhou Psychiatric Hospital, No. 451 South Erhuan Road, Cangshan District, Fuzhou, Fujian, People's Republic of China
| | - Qiyi Mei
- Suzhou Guangji Hospital, No. 286, Guangji Road, Suzhou, Jiangsu, People's Republic of China
| | - Xiaohong Hong
- Mental Health Center of Shantou University, No. 243 Daxue Road, Shantou, Guangdong, People's Republic of China
| | - Donglin Yang
- Jining Psychiatric Hospital, North Dai Zhuang, Rencheng District, Jining, Shandong, People's Republic of China
| | - Tieqiao Liu
- No. 2 Xiangya Hospital of Zhongnan University, No. 139 Middle Renmin Road, Furong District, Changsha, Hunan, People's Republic of China
| | - Yu Fengyu
- Harbin No. 1 Special Hospital, No. 217 Hongwei Road, Haerbin, Heilongjiang, People's Republic of China
| | - Hui Zhong
- Anhui Mental Health Center, No. 316 Huangshan Road, Hefei, Anhui, People's Republic of China
| | - Hong Sang
- Changchun Mental Hospital, No. 4596 Beihuan Road, Changchun, Jilin, People's Republic of China
| | - Guibing Chen
- Huaian No. 3 Hospital, No. 272 West Huaihai Road, Huaian, Jiangsu, People's Republic of China
| | - Min Cai
- Huzhou No. 3 Hospital, No. 255 Gongyuan Road, Huzhou, Zhejiang, People's Republic of China
| | - Yan Song
- Mudanjiang Psychiatric Hospital of Heilongjiang Province, Xinglong, Mudanjiang, Heilongjiang, People's Republic of China
| | - Jicheng Dong
- Qingdao Mental Health Center, No. 299 Nanjing Road, Shibei District, Qingdao, Shandong, People's Republic of China
| | - Zhenmin Shen
- Tangshan No. 5 Hospital, No. 57 West Nanxin Road, Lunan District, Tangshan, Hebei, People's Republic of China
| | - Wei Zhang
- Daqing No. 3 Hospital of Heilongjiang Province, No. 54 Xitai Road, Ranghulu district, Daqing, Heilongjiang, People's Republic of China
| | - Xiaoping Wang
- Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, Hubei, People's Republic of China
| | - Runde Pan
- Guangxi Longquanshan Hospital, No. 1 Jila Road, Yufeng District, Liuzhou, People's Republic of China
| | - Xiaojuan Liu
- Tianjin First Center Hospital, No. 55 Xuetang Street, Xinkai Road, Hedong District, Tianjin, People's Republic of China
| | - Yi Li
- Wuhan Mental Health Center, No. 70, Youyi Road, Wuhan, Hubei, People's Republic of China
| | - Zhengrong Liu
- Anshan Psychiatric Rehabilitation Hospital, No. 127 Shuangshan Road, Lishan District, Anshan, Liaoning, People's Republic of China
| | - Qiwen Zhang
- Hainan Anning Hospital, No. 10 East Nanhai Avenue, Haikou, Hainan, People's Republic of China
| | - Gongying Li
- Mental Health Institute of Jining Medical College, Dai Zhuang, Bei Jiao, Jining, Shandong, People's Republic of China
| | - Jonathan Flint
- Wellcome Trust Centre for Human Genetics, Oxford, United Kingdom
| | - Kenneth S Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.
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8
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Meuti V, Marini I, Grillo A, Lauriola M, Leone C, Giacchetti N, Aceti F. MMPI-2: cluster analysis of personality profiles in perinatal depression—preliminary evidence. ScientificWorldJournal 2014; 2014:964210. [PMID: 25574499 PMCID: PMC4276296 DOI: 10.1155/2014/964210] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 11/10/2014] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND To assess personality characteristics of women who develop perinatal depression. METHODS The study started with a screening of a sample of 453 women in their third trimester of pregnancy, to which was administered a survey data form, the Edinburgh Postnatal Depression Scale (EPDS) and the Minnesota Multiphasic Personality Inventory 2 (MMPI-2). A clinical group of subjects with perinatal depression (PND, 55 subjects) was selected; clinical and validity scales of MMPI-2 were used as predictors in hierarchical cluster analysis carried out. RESULTS The analysis identified three clusters of personality profile: two "clinical" clusters (1 and 3) and an "apparently common" one (cluster 2). The first cluster (39.5%) collects structures of personality with prevalent obsessive or dependent functioning tending to develop a "psychasthenic" depression; the third cluster (13.95%) includes women with prevalent borderline functioning tending to develop "dysphoric" depression; the second cluster (46.5%) shows a normal profile with a "defensive" attitude, probably due to the presence of defense mechanisms or to the fear of stigma. CONCLUSION Characteristics of personality have a key role in clinical manifestations of perinatal depression; it is important to detect them to identify mothers at risk and to plan targeted therapeutic interventions.
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Affiliation(s)
- Valentina Meuti
- Department of Neurology and Psychiatry, Policlinico Umberto I, Sapienza University of Rome, Viale dell'Università 30, 00185 Rome, Italy
| | - Isabella Marini
- Department of Neurology and Psychiatry, Policlinico Umberto I, Sapienza University of Rome, Viale dell'Università 30, 00185 Rome, Italy
| | - Alessandra Grillo
- Department of Neurology and Psychiatry, Policlinico Umberto I, Sapienza University of Rome, Viale dell'Università 30, 00185 Rome, Italy
| | - Marco Lauriola
- Department of Social and Developmental Psychology, Sapienza University of Rome, Via dei Marsi 78, 00185 Rome, Italy
| | - Carlo Leone
- Department of Neurology and Psychiatry, Policlinico Umberto I, Sapienza University of Rome, Viale dell'Università 30, 00185 Rome, Italy
| | - Nicoletta Giacchetti
- Department of Neurology and Psychiatry, Policlinico Umberto I, Sapienza University of Rome, Viale dell'Università 30, 00185 Rome, Italy
| | - Franca Aceti
- Department of Neurology and Psychiatry, Policlinico Umberto I, Sapienza University of Rome, Viale dell'Università 30, 00185 Rome, Italy
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9
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Mental disorders of pregnant and postpartum women after earthquakes: a systematic review. Disaster Med Public Health Prep 2014; 8:315-25. [PMID: 25098648 DOI: 10.1017/dmp.2014.62] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The aim of this review was to systematically search and critique relevant literature on the potential psychological impact of earthquakes on peripartum women to synthesize existing knowledge for further action. METHODS A search through 5 databases was conducted for relevant publications in English, and the results were screened through a set of inclusion and exclusion processes. RESULTS Eight articles were included. Depression and posttraumatic stress disorder were the most often reported mental disorders. Some factors (eg, family relationships and social support) were associated with mental disorders suffered by peripartum women after earthquakes. An assessment of the quality of the studies showed that most did not have high levels of evidence because of their cross-sectional design and limitations. CONCLUSIONS Among the factors that influenced the mental health of pregnant and postpartum women after earthquakes, family function appears to be one of the most important and deserves further exploration. Other mental health conditions such as minor psychiatric disorders should also be studied for their relationship with disasters and pregnancy. Well-designed studies are needed to enable a better understanding of the relationship between earthquakes and the mental disorders of peripartum women so that the most appropriate interventions can be proposed.
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10
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Paschetta E, Berrisford G, Coccia F, Whitmore J, Wood AG, Pretlove S, Ismail KMK. Perinatal psychiatric disorders: an overview. Am J Obstet Gynecol 2014; 210:501-509.e6. [PMID: 24113256 DOI: 10.1016/j.ajog.2013.10.009] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 10/02/2013] [Accepted: 10/04/2013] [Indexed: 01/10/2023]
Abstract
Perinatal mental illness has a significant implication on maternal health, birth outcomes, and the offspring's development. Prevalence estimates of perinatal psychiatric illnesses range widely, with substantial heterogeneity in different population studies, with a lower prevalence rate in high- rather than low- or middle-income countries. Because of the potential negative impact on maternal and child outcomes and the potential lability of these disorders, the perinatal period is a critical time to identify psychiatric illnesses. Thus, obstetricians and midwives play a crucial role in assessing women's mental health needs and to refer identified women promptly for multidisciplinary specialist assessment. However, there is still limited evidence on best practice assessment and management policies during pregnancy and postpartum. This review focuses on the prevalence of common perinatal mental disorders and antenatal screening policies to identify women at risk. The effect of these conditions and their management on pregnancy, fetal outcomes, and child development are discussed.
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Affiliation(s)
- Elena Paschetta
- Birmingham Women's National Health Service Foundation Trust, Birmingham, UK
| | - Giles Berrisford
- Perinatal Mental Health Service, Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Floriana Coccia
- Perinatal Mental Health Service, Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Jennifer Whitmore
- Perinatal Mental Health Service, Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Amanda G Wood
- School of Psychology, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Sam Pretlove
- Birmingham Women's National Health Service Foundation Trust, Birmingham, UK
| | - Khaled M K Ismail
- Birmingham Women's National Health Service Foundation Trust, Birmingham, UK; School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
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11
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Gao J, Li Y, Cai Y, Chen J, Shen Y, Ni S, Wei Y, Qiu Y, Zhu X, Liu Y, Lu C, Chen C, Niu Q, Tang C, Yang Y, Wang Q, Cui W, Xia J, Liu T, Zhang J, Zhao B, Guo Z, Pan J, Chen H, Luo Y, Sun L, Xiao X, Chen Q, Zhao X, He F, Lv L, Guo L, Liu L, Li H, Shi S, Flint J, Kendler KS, Tao M. Perceived parenting and risk for major depression in Chinese women. Psychol Med 2012; 42:921-930. [PMID: 21943491 PMCID: PMC3315781 DOI: 10.1017/s0033291711001942] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2011] [Revised: 08/24/2011] [Accepted: 08/30/2011] [Indexed: 12/02/2022]
Abstract
BACKGROUND In Western countries, a history of major depression (MD) is associated with reports of received parenting that is low in warmth and caring and high in control and authoritarianism. Does a similar pattern exist in women in China? METHOD Received parenting was assessed by a shortened version of the Parental Bonding Instrument (PBI) in two groups of Han Chinese women: 1970 clinically ascertained cases with recurrent MD and 2597 matched controls. MD was assessed at personal interview. RESULTS Factor analysis of the PBI revealed three factors for both mothers and fathers: warmth, protectiveness, and authoritarianism. Lower warmth and protectiveness and higher authoritarianism from both mother and father were significantly associated with risk for recurrent MD. Parental warmth was positively correlated with parental protectiveness and negatively correlated with parental authoritarianism. When examined together, paternal warmth was more strongly associated with lowered risk for MD than maternal warmth. Furthermore, paternal protectiveness was negatively and maternal protectiveness positively associated with risk for MD. CONCLUSIONS Although the structure of received parenting is very similar in China and Western countries, the association with MD is not. High parental protectiveness is generally pathogenic in Western countries but protective in China, especially when received from the father. Our results suggest that cultural factors impact on patterns of parenting and their association with MD.
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Affiliation(s)
- J. Gao
- Zhejiang Traditional Chinese Medical Hospital, Hangzhou Zhejiang, P.R. China
| | - Y. Li
- Wellcome Trust Centre for Human Genetics, Oxford, UK
| | - Y. Cai
- Fudan University affiliated Huashan Hospital, Shanghai, P.R. China
| | - J. Chen
- Shanghai Jiao Tong University School of Medicine affiliated Shanghai Mental Health Centre, Shanghai, P.R. China
| | - Y. Shen
- Shanghai Tongji University affiliated Tongji Hospital, Shanghai, P.R. China
| | - S. Ni
- Nanjing Brain Hospital, Nanjing, Jiangsu, P.R. China
| | - Y. Wei
- No. 4 Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China
| | - Y. Qiu
- Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhe Jiang, P.R. China
| | - X. Zhu
- Zhejiang Traditional Chinese Medical Hospital, Hangzhou Zhejiang, P.R. China
| | - Y. Liu
- Tianjin Anding Hospital, Hexi District, Tianjin, P.R. China
| | - C. Lu
- Shandong Mental Health Center, Jinan, Shandong, P.R. China
| | - C. Chen
- No. 1 Hospital of Medical College of Xian Jiaotong University, Xi'an, Shaanxi, P.R. China
| | - Q. Niu
- No. 1 Hospital of Zhengzhou University, Zhengzhou, Henan, P.R. China
| | - C. Tang
- No. 1 Mental Health Center Affiliated Harbin Medical University, Nangang District, Harbin, Heilongjiang, P.R. China
| | - Y. Yang
- Mental Health Center of West China Hospital of Sichuan University, Wu Hou District, Chengdu, Sichuan, P.R. China
| | - Q. Wang
- Beijing Anding Hospital, Capital Medical University, Xicheng District, Beijing, P.R. China
| | - W. Cui
- Hebei Mental Health Center, Baoding, Hebei, P.R. China
| | - J. Xia
- Shengjing Hospital of China Medical University, Heping District, Shenyang, Liaoning, P.R. China
| | - T. Liu
- Shenzhen Kangning Hospital, Luo Hu, Shenzhen, P.R. China
| | - J. Zhang
- No. 3 Affiliated Hospital of Sun Yat-sen University, Tian He District, Guangzhou, Guangdong, P.R. China
| | - B. Zhao
- No. 1 Hospital of Shanxi Medical University, Taiyuan, Shanxi, P.R. China
| | - Z. Guo
- Mental Hospital of Jiangxi Province, Nanchang, Jiangxi, P.R. China
| | - J. Pan
- The First Affiliated Hospital of Jinan University, Tian He District, Guangzhou, P.R. China
| | - H. Chen
- Wuhan Mental Health Center, Wuhan, P.R. China
| | - Y. Luo
- No. 3 Hospital of Heilongjiang Province, Beian, Heilongjiang, P.R. China
| | - L. Sun
- Jilin Brain Hospital, Siping, Jilin, P.R. China
| | - X. Xiao
- The First Hospital of China Medical University, He Ping District, Shenyang, P.R. China
| | - Q. Chen
- Dalian No. 7 People's Hospital and Dalian Mental Health Center, Gan Jing Zi District, Dalian, P.R. China
| | - X. Zhao
- The First Hospital of Hebei Medical University, Shijiazhuang, P.R. China
| | - F. He
- Lanzhou University Second Hospital, Second Clinical Medical College of Lanzhou University, Lanzhou, Gansu Province, P.R. China
| | - L. Lv
- Psychiatric Hospital of Henan Province, Xinxiang, Henan, P.R. China
| | - L. Guo
- The Fourth Military Medical University affiliated Xijing Hospital, Xi'an, Shaanxi, P.R. China
| | - L. Liu
- No. 4 People's Hospital of Liaocheng, Liaocheng, Shandong, P.R. China
| | - H. Li
- Guangzhou Brain Hospital/Guangzhou Psychiatric Hospital, Fang Cun Da Dao, Li Wan District, Guangzhou, P.R. China
| | - S. Shi
- Virginia Commonwealth University, Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - J. Flint
- Wellcome Trust Centre for Human Genetics, Oxford, UK
| | - K. S. Kendler
- Virginia Commonwealth University, Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - M. Tao
- Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhe Jiang, P.R. China
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