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Baggett KM, Davis B, Olwit C, Feil EG. Pre-intervention child maltreatment risks, intervention engagement, and effects on child maltreatment risk within an RCT of MHealth and parenting intervention. Front Digit Health 2023; 5:1211651. [PMID: 37497187 PMCID: PMC10367099 DOI: 10.3389/fdgth.2023.1211651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 06/21/2023] [Indexed: 07/28/2023] Open
Abstract
Introduction Evidence-based mental health and parenting support services for mothers postpartum can reduce risk for child maltreatment. However, women suffering economic and cultural stressors disproportionately shoulder the burden of infant caregiving while experiencing profound barriers to accessing mental health and parenting services. This article reports on an MHealth and parenting intervention targeting maternal mood and positive parent practices within a randomized controlled trial, which provided a unique opportunity to view pre-intervention child maltreatment risk, its relationship to subsequent intervention engagement, and intervention engagement effects on pre-post child maltreatment risk reduction. Method Principal component factor analysis was conducted to identify a modifiable pre-intervention child maltreatment risk construct within a combined MHealth and parenting intervention sample of 184 primarily Black mothers and their infants. An independent t-test was conducted to compare pre-intervention child maltreatment risk levels between mothers who went on to complete at least two-thirds of the intervention and those who did not. A GLM repeated measures analysis of variance was conducted to determine effects of intervention engagement on child maltreatment risk reduction. Results Pre-intervention child maltreatment risk did not differentiate subsequent maternal intervention completion patterns. Mothers who completed two-thirds of the intervention, compared to those who did not, demonstrated significant reductions in pre-post child maltreatment risk. Discussion Findings underscore the potential of MHealth parenting interventions to reduce substantial child maltreatment risk through service delivery addressing a range of positive parenting and behavioral health needs postpartum, a particularly vulnerable developmental period for maternal depression and child maltreatment risk.
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Affiliation(s)
- Kathleen M. Baggett
- Mark Chaffin Center for Healthy Development, School of Public Health, Georgia State University, Atlanta, GA, United States
| | - Betsy Davis
- Oregon Research Institute, Eugene, OR, United States
| | - Connie Olwit
- Mark Chaffin Center for Healthy Development, School of Public Health, Georgia State University, Atlanta, GA, United States
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MacKinnon AL, Silang K, Penner K, Zalewski M, Tomfohr-Madsen L, Roos LE. Promoting Mental Health in Parents of Young Children Using eHealth Interventions: A Systematic Review and Meta-analysis. Clin Child Fam Psychol Rev 2022; 25:413-434. [PMID: 35184262 PMCID: PMC8858396 DOI: 10.1007/s10567-022-00385-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/05/2022] [Indexed: 12/11/2022]
Abstract
Parent stress and mental health problems negatively impact early child development. This study aimed to systematically review and meta-analyze the effect of eHealth interventions on parent stress and mental health outcomes, and identify family- and program-level factors that may moderate treatment effects. A search of PsycINFO, Medline, CINAHL, Cochrane and Embase databases was conducted from their inception dates to July 2020. English-language controlled and open trials were included if they reported: (a) administration of an eHealth intervention, and (b) stress or mental health outcomes such as self-report or clinical diagnosis of anxiety and depression, among (c) parents of children who were aged 1–5 years old. Non-human studies, case reports, reviews, editorials, letters, dissertations, and books were excluded. Risk of bias was assessed using the National Institutes of Health (NIH) Study Quality Assessment Tools. Random-effects meta-analyses of standardized mean differences (SMD) were conducted and meta-regressions tested potential moderators. 38 studies were included (N = 4360 parents), from 13 countries (47.4% USA). Meta-analyses indicated eHealth interventions were associated with better self-reported mental health among parents (overall SMD = .368, 95% CI 0.228, 0.509), regardless of study design (k = 30 controlled, k = 8 pre-post) and across most outcomes (k = 17 anxiety, k = 19 depression, k = 12 parenting stress), with small to medium effect sizes. No significant family- or program-level moderators emerged. Despite different types and targets, eHealth interventions offer a promising and accessible option to promote mental health among parents of young children. Further research is needed on moderators and the long-term outcomes of eHealth interventions. Prospero Registration: CRD42020190719.
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Affiliation(s)
- Anna L MacKinnon
- Department of Psychology, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute (ACHRI), Calgary, AB, Canada
| | - Katherine Silang
- Department of Psychology, University of Calgary, Calgary, AB, Canada
| | - Kailey Penner
- Department of Psychology, University of Manitoba, 66 Chancellors Cir., Winnipeg, MB, R3T 2N2, Canada
| | | | - Lianne Tomfohr-Madsen
- Department of Psychology, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute (ACHRI), Calgary, AB, Canada
- Department of Pediatrics, University of Calgary, Calgary, AB, Canada
| | - Leslie E Roos
- Department of Psychology, University of Manitoba, 66 Chancellors Cir., Winnipeg, MB, R3T 2N2, Canada.
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Liu PH, Li Y, Zhang AX, Sun N, Li GZ, Chen X, Bai TJ, Bo QJ, Chen GM, Chen NX, Chen TL, Chen W, Cheng C, Cheng YQ, Cui XL, Duan J, Fang YR, Gong QY, Guo WB, Hou ZH, Hu L, Kuang L, Li F, Li KM, Li T, Liu YS, Liu ZN, Long YC, Luo QH, Meng HQ, Peng DH, Qiu HT, Qiu J, Shen YD, Shi YS, Wang F, Wang K, Wang L, Wang X, Wang Y, Wu XP, Wu XR, Xie CM, Xie GR, Xie HY, Xie P, Xu XF, Yang H, Yang J, Yao JS, Yao SQ, Yin YY, Yuan YG, Zhang H, Zhang L, Zhang ZJ, Zhou RB, Zhou YT, Zhu JJ, Zou CJ, Si TM, Zuo XN, Yan CG, Zhang KR. Brain structural alterations in MDD patients with gastrointestinal symptoms: Evidence from the REST-meta-MDD project. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110386. [PMID: 34119573 DOI: 10.1016/j.pnpbp.2021.110386] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVE While gastrointestinal (GI) symptoms are very common in patients with major depressive disorder (MDD), few studies have investigated the neural basis behind these symptoms. In this study, we sought to elucidate the neural basis of GI symptoms in MDD patients by analyzing the changes in regional gray matter volume (GMV) and gray matter density (GMD) in brain structure. METHOD Subjects were recruited from 13 clinical centers and categorized into three groups, each of which is based on the presence or absence of GI symptoms: the GI symptoms group (MDD patients with at least one GI symptom), the non-GI symptoms group (MDD patients without any GI symptoms), and the healthy control group (HCs). Structural magnetic resonance images (MRI) were collected of 335 patients in the GI symptoms group, 149 patients in the non-GI symptoms group, and 446 patients in the healthy control group. The 17-item Hamilton Depression Rating Scale (HAMD-17) was administered to all patients. Correlation analysis and logistic regression analysis were used to determine if there was a correlation between the altered brain regions and the clinical symptoms. RESULTS There were significantly higher HAMD-17 scores in the GI symptoms group than that of the non-GI symptoms group (P < 0.001). Both GMV and GMD were significant different among the three groups for the bilateral superior temporal gyrus, bilateral middle temporal gyrus, left lingual gyrus, bilateral caudate nucleus, right Fusiform gyrus and bilateral Thalamus (GRF correction, cluster-P < 0.01, voxel-P < 0.001). Compared to the HC group, the GI symptoms group demonstrated increased GMV and GMD in the bilateral superior temporal gyrus, and the non-GI symptoms group demonstrated an increased GMV and GMD in the right superior temporal gyrus, right fusiform gyrus and decreased GMV in the right Caudate nucleus (GRF correction, cluster-P < 0.01, voxel-P < 0.001). Compared to the non-GI symptoms group, the GI symptoms group demonstrated significantly increased GMV and GMD in the bilateral thalamus, as well as decreased GMV in the bilateral superior temporal gyrus and bilateral insula lobe (GRF correction, cluster-P < 0.01, voxel-P < 0.001). While these changed brain areas had significantly association with GI symptoms (P < 0.001), they were not correlated with depressive symptoms (P > 0.05). Risk factors for gastrointestinal symptoms in MDD patients (p < 0.05) included age, increased GMD in the right thalamus, and decreased GMV in the bilateral superior temporal gyrus and left Insula lobe. CONCLUSION MDD patients with GI symptoms have more severe depressive symptoms. MDD patients with GI symptoms exhibited larger GMV and GMD in the bilateral thalamus, and smaller GMV in the bilateral superior temporal gyrus and bilateral insula lobe that were correlated with GI symptoms, and some of them and age may contribute to the presence of GI symptoms in MDD patients.
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Affiliation(s)
- Peng-Hong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China; Department of First Clinical Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Yan Li
- Department of Clinical Medicine, Fenyang College of Shanxi Medical University, 032200, China
| | - Ai-Xia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China; Department of First Clinical Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Gai-Zhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China; Department of First Clinical Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China
| | - Tong-Jian Bai
- Anhui Medical University, Hefei, Anhui 230022, China
| | - Qi-Jing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Guan-Mao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Ning-Xuan Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China
| | - Tao-Lin Chen
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Wei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310012, China
| | - Chang Cheng
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Yu-Qi Cheng
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Xi-Long Cui
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Yi-Ru Fang
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Qi-Yong Gong
- Department of Radiology, Huaxi MR Research Center,West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Wen-Bin Guo
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Zheng-Hua Hou
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Feng Li
- Anhui Medical University, Hefei, Anhui 230022, China
| | - Kai-Ming Li
- Department of Radiology, Huaxi MR Research Center,West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215137, China
| | - Zhe-Ning Liu
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Yi-Cheng Long
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Hua-Qing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Dai-Hui Peng
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, Hangzhou Normal University Medical School, Hangzhou, Zhejiang 311121, China
| | - Yu-Shu Shi
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Kai Wang
- Anhui Medical University, Hefei, Anhui 230022, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Xiang Wang
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Xiao-Ping Wu
- Xi'an Central Hospital, Xi'an, Shannxi 710003, China
| | - Xin-Ran Wu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Guang-Rong Xie
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Hai-Yan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing, 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiu-Feng Xu
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710061, China
| | - Jia-Shu Yao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310012, China
| | - Shu-Qiao Yao
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Ying-Ying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an, Shannxi 710003, China
| | - Lei Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Ru-Bai Zhou
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Yi-Ting Zhou
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Jun-Juan Zhu
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Chao-Jie Zou
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Xi-Nian Zuo
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing 100054, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing 100054, China; Department of Child and Adolescent Psychiatry, NYU Langone Medical Center School of Medicine, New York, NY 10016, USA
| | - Ke-Rang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China.
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Baggett KM, Davis B, Sheeber L, Miller K, Leve C, Mosley EA, Landry SH, Feil EG. Optimizing Social-Emotional-Communication Development in Infants of Mothers With Depression: Protocol for a Randomized Controlled Trial of a Mobile Intervention Targeting Depression and Responsive Parenting. JMIR Res Protoc 2021; 10:e31072. [PMID: 34406122 PMCID: PMC8411326 DOI: 10.2196/31072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Postpartum depression interferes with maternal engagement in interventions that are effective in improving infant social-emotional and social-communication outcomes. There is an absence of integrated interventions with demonstrated effectiveness in both reducing maternal depression and promoting parent-mediated practices that optimize infant social-emotional and social-communication competencies. Interventions targeting maternal depression are often separate from parent-mediated interventions. To address the life course needs of depressed mothers and their infants, we need brief, accessible, and integrated interventions that target both maternal depression and specific parent practices shown to improve infant social-emotional and social-communication trajectories. OBJECTIVE The aim of this study is to evaluate the efficacy of a mobile internet intervention, Mom and Baby Net, with remote coaching to improve maternal mood and promote parent practices that optimize infant social-emotional and social-communication development. METHODS This is a two-arm, randomized controlled intent-to-treat trial. Primary outcomes include maternal depression symptoms and observed parent and infant behaviors. Outcomes are measured via direct observational assessments and standardized questionnaires. The sample is being recruited from the urban core of a large southern city in the United States. Study enrollment was initiated in 2017 and concluded in 2020. Participants are biological mothers with elevated depression symptoms, aged 18 years or older, and who have custody of an infant less than 12 months of age. Exclusion criteria at the time of screening include maternal homelessness or shelter residence, inpatient mental health or substance abuse treatment, or maternal or infant treatment of a major mental or physical illness that would hinder meaningful study participation. RESULTS The start date of this grant-funded randomized controlled trial (RCT) was September 1, 2016. Data collection is ongoing. Following the institutional review board (IRB)-approved pilot work, the RCT was approved by the IRB on November 17, 2017. Recruitment was initiated immediately following IRB approval. Between February 15, 2018, and March 11, 2021, we successfully recruited a sample of 184 women and their infants into the RCT. The sample is predominantly African American and socioeconomically disadvantaged. CONCLUSIONS Data collection is scheduled to be concluded in March 2022. We anticipate that relative to the attention control condition, which is focused on education around maternal depression and infant developmental milestones with matching technology and coaching structure, mothers in the Mom and Baby Net intervention will experience greater reductions in depression and gains in sensitive and responsive parent practices and that their infants will demonstrate greater gains in social-emotional and social-communication behavior. TRIAL REGISTRATION ClinicalTrials.gov NCT03464630; https://clinicaltrials.gov/ct2/show/NCT03464630. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/31072.
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Affiliation(s)
| | - Betsy Davis
- Oregon Research Institute, Eugene, OR, United States
| | - Lisa Sheeber
- Oregon Research Institute, Eugene, OR, United States
| | - Katy Miller
- Georgia State University, Atlanta, GA, United States
| | - Craig Leve
- Oregon Research Institute, Eugene, OR, United States
| | | | - Susan H Landry
- University of Texas Health Sciences Center, Houston, TX, United States
| | - Edward G Feil
- Oregon Research Institute, Eugene, OR, United States
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Wang L, Kroenke K, Stump TE, Monahan PO. Screening for perinatal depression with the Patient Health Questionnaire depression scale (PHQ-9): A systematic review and meta-analysis. Gen Hosp Psychiatry 2021; 68:74-82. [PMID: 33360526 PMCID: PMC9112666 DOI: 10.1016/j.genhosppsych.2020.12.007] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 12/13/2020] [Accepted: 12/13/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Perinatal depression (PND) is a prevalent and disabling problem both during pregnancy and the postpartum period. The legacy screening measure has been the Edinburgh Postnatal Depression Scale (EPDS). This systematic review examines the validity of the PHQ-9 as a screener for PND. METHODS The following databases were searched from January 2001 (when the PHQ-9 was first published) through June 2020: MEDLINE, Embase, and PsychInfo. Studies that compared the PHQ-9 to a criterion standard psychiatric interview were used to determine the operating characteristics of sensitivity, specificity and area under the curve (AUC). Studies comparing the PHQ-9 to the EPDS and other depression scales evaluated convergent validity. RESULTS A total of 35 articles were eligible for criterion (n = 10) or convergent (n = 25) validity. Meta-analysis of the 7 criterion validity studies using the standard PHQ-9 cut point ≥10 showed a pooled sensitivity, specificity and AUC of 0.84, 0.81 and 0.89, respectively. Operating characteristics of the PHQ-9 and EPDS were nearly identical in head-to-head comparison studies. The median correlation between the PHQ-9 and EPDS was 0.59, and categorical agreement was moderate. CONCLUSIONS The PHQ-9 appears to be a viable option for perinatal depression screening with operating characteristics similar to the legacy EPDS.
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Affiliation(s)
- Larry Wang
- Indiana University, School of Medicine, Indianapolis, IN, United States.
| | - Kurt Kroenke
- Indiana University, School of Medicine, Indianapolis, IN, United States; Regenstrief Institute Inc, Indianapolis, IN, United States.
| | - Timothy E. Stump
- Department of Biostatistics, Indiana University Fairbanks School of Public Health and School of Medicine, Indianapolis, IN, USA
| | - Patrick O. Monahan
- Department of Biostatistics, Indiana University Fairbanks School of Public Health and School of Medicine, Indianapolis, IN, USA
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Liu P, Li G, Zhang A, Yang C, Liu Z, Sun N, Kerang Z. Brain structural and functional alterations in MDD patient with gastrointestinal symptoms: A resting-state MRI study. J Affect Disord 2020; 273:95-105. [PMID: 32421626 DOI: 10.1016/j.jad.2020.03.107] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 01/30/2020] [Accepted: 03/28/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVE It is common for major depressive disorder (MDD) to be accompanied by gastrointestinal (GI) symptoms, which are known to negatively impact the course and severity of the disease. Although previous studies have attempted to explore the neuropathology of MDD, few studies have focused on the pathogenesis of GI symptoms in MDD. In this study, we investigated the changes in regional gray matter volume (GMV) and regional homogeneity (ReHo) present in MDD accompanied by GI symptoms. METHOD The following images were obtained and analyzed: Structural and functional magnetic resonance images (MRI) of 36 patients with MDD accompanied by GI symptoms (GI symptoms group), 22 patients without GI symptoms (Non-GI symptoms group), and 27 healthy controls (HC. The 24-item Hamilton Depression Rating Scale (HAMD) was administered. A correlation analysis was used to identify the possible associations between altered regional GMV, ReHo symptoms, GI symptoms, and depressive symptoms. RESULTS The total scores from the HAMD-24 in the GI symptoms group were significantly higher than in the Non-GI symptoms group (P<0.05). Significant differences in both GMV and ReHo were observed among the three groups for the right parahippocampal gyrus, left precentral gyrus, left middle frontal gyrus, right superior frontal gyrus, right middle frontal gyrus, and left inferior orbitofrontal gyrus (AlphaSim correction, P <0.001). The GI symptoms group exhibited significantly decreased GMV and ReHo in the left middle frontal gyrus, precentral gyrus, right superior frontal gyrus, and middle frontal gyrus. Additionally, the GI symptoms group exhibited increased ReHo in the left superior temporal gyrus at a higher level than the non-GI symptoms group. (AlphaSim correction, P <0.001). These altered brain areas were correlated with GI symptoms (P<0.001) but not depressive symptoms (P>0.05). CONCLUSION Patients with MDD accompanied by GI symptoms have more severe depressive symptoms. The structural and functional changes of the brain may be the pathogenesis for the GI symptoms in patients with MDD.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001; Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Gaizhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Zhang Kerang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
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Arundell LL, Greenwood H, Baldwin H, Kotas E, Smith S, Trojanowska K, Cooper C. Advancing mental health equality: a mapping review of interventions, economic evaluations and barriers and facilitators. Syst Rev 2020; 9:115. [PMID: 32456670 PMCID: PMC7251669 DOI: 10.1186/s13643-020-01333-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 03/16/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND This work aimed to identify studies of interventions seeking to address mental health inequalities, studies assessing the economic impact of such interventions and factors which act as barriers and those that can facilitate interventions to address inequalities in mental health care. METHODS A systematic mapping method was chosen. Studies were included if they: (1) focused on a population with: (a) mental health disorders, (b) protected or other characteristics putting them at risk of experiencing mental health inequalities; (2) addressed an intervention focused on addressing mental health inequalities; and (3) met criteria for one or more of three research questions: (i) primary research studies (any study design) or systematic reviews reporting effectiveness findings for an intervention or interventions, (ii) studies reporting economic evaluation findings, (iii) primary research studies (any study design) or systematic reviews identifying or describing, potential barriers or facilitators to interventions. A bibliographic search of MEDLINE, HMIC, ASSIA, Social Policy & Practice, Sociological Abstracts, Social Services Abstracts and PsycINFO spanned January 2008 to December 2018. Study selection was performed according to inclusion criteria. Data were extracted and tabulated to map studies and summarise published research on mental health inequalities. A visual representation of the mapping review (a mapping diagram) is included. RESULTS Overall, 128 studies met inclusion criteria: 115 primary studies and 13 systematic reviews. Of those, 94 looked at interventions, 6 at cost-effectiveness and 36 at barriers and facilitators. An existing taxonomy of disparities interventions was used and modified to categorise interventions by type and strategy. Most of the identified interventions focused on addressing socioeconomic factors, race disparities and age-related issues. The most frequently used intervention strategy was providing psychological support. Barriers and associated facilitators were categorised into groups including (not limited to) access to care, communication issues and financial constraints. CONCLUSIONS The mapping review was useful in assessing the spread of literature and identifying highly researched areas versus prominent gaps. The findings are useful for clinicians, commissioners and service providers seeking to understand strategies to support the advancement of mental health equality for different populations and could be used to inform further research and support local decision-making. SYSTEMATIC REVIEW REGISTRATION Not applicable.
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Affiliation(s)
- Laura-Louise Arundell
- Department of Clinical, Educational and Health Psychology, University College London, London, WC1E 7HB UK
- National Collaborating Centre for Mental Health (NCCMH), Royal College of Psychiatrists, 21 Prescot Street, London, E1 8BB UK
| | - Helen Greenwood
- National Collaborating Centre for Mental Health (NCCMH), Royal College of Psychiatrists, 21 Prescot Street, London, E1 8BB UK
| | - Helen Baldwin
- National Collaborating Centre for Mental Health (NCCMH), Royal College of Psychiatrists, 21 Prescot Street, London, E1 8BB UK
| | - Eleanor Kotas
- York Economics Consortium, University of York, Heslington, York, YO10 5DD UK
| | - Shubulade Smith
- National Collaborating Centre for Mental Health (NCCMH), Royal College of Psychiatrists, 21 Prescot Street, London, E1 8BB UK
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, De Crespigny Park, London, SE5 8AF UK
| | - Kasia Trojanowska
- National Collaborating Centre for Mental Health (NCCMH), Royal College of Psychiatrists, 21 Prescot Street, London, E1 8BB UK
| | - Chris Cooper
- Department of Clinical, Educational and Health Psychology, University College London, London, WC1E 7HB UK
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF UK
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Neumann AA, Desmarais EE, Iverson SL, Gartstein MA. Ecological contributions to maternal-infant functioning: Differences between rural and urban family contexts. JOURNAL OF COMMUNITY PSYCHOLOGY 2020; 48:945-959. [PMID: 31970806 DOI: 10.1002/jcop.22313] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 12/05/2019] [Accepted: 12/06/2019] [Indexed: 06/10/2023]
Abstract
AIMS This study considered urban-rural differences in maternal-infant interactions (sensitivity/responsiveness and synchrony/reciprocity), infant temperament, and parenting stress, for samples similar in socioeconomic and racial composition. Higher sensitivity/responsiveness and synchrony/reciprocity were hypothesized for urban dyads, with more challenging temperament profiles predicted for rural infants. Rural mothers were expected to report more parenting-role stress. METHODS Urban (n = 68; San Francisco Bay) and rural (n = 120; inland Pacific Northwest) mothers of infants provided ratings of temperament and parenting stress. Parental sensitivity/responsiveness and synchrony/reciprocity were coded from mother-infant play observations. Groups were compared via analyses of covariance. RESULTS Urban mothers demonstrated significantly more sensitivity/responsiveness and synchrony/reciprocity compared to their rural counterparts. Rural mothers rated their infants significantly higher in negative affectivity and distress in response to limitations. CONCLUSION Although socioeconomic status is traditionally implicated in rural and urban population differences, our results suggest other factors (e.g., isolation, access to resources) warrant further exploration. Rural ecology appears to present risk that should be examined more closely in maternal-infant interactions and child social-emotional development. The variability of risk within urban and rural classifications (e.g., suburban, inner-city) also requires consideration.
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Affiliation(s)
- Alyssa A Neumann
- Department of Psychology, Washington State University, Pullman, Washington
| | - Eric E Desmarais
- School of Medicine, University of Louisville, Louisville, Kentucky
| | | | - Maria A Gartstein
- Department of Psychology, Washington State University, Pullman, Washington
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Seeley JR, Sheeber LB, Feil EG, Leve C, Davis B, Sorensen E, Allan S. Mediation analyses of Internet-facilitated cognitive behavioral intervention for maternal depression. Cogn Behav Ther 2019; 48:337-352. [PMID: 30311850 PMCID: PMC6461540 DOI: 10.1080/16506073.2018.1513554] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 08/15/2018] [Indexed: 01/01/2023]
Abstract
This study evaluated the putative mediating mechanisms of an Internet-facilitated cognitive-behavioral therapy (CBT) intervention for depression tailored to economically disadvantaged mothers of preschool-age children. The CBT mediators were tested across two previously published randomized controlled trials which included the same measures of behavioral activation, negative thinking, and savoring of positive events. Trial 1 included 70 mothers with elevated depressive symptoms who were randomized to either the eight-session, Internet-facilitated intervention (Mom-Net) or to treatment as usual. Trial 2 included 266 mothers with elevated depressive symptoms who were randomized to either Mom-Net or to a motivational interviewing and referral to services condition. Simple mediation models tested each putative mediator independently followed by tests of multiple mediation that simultaneously included all three mediators in the model to assess the salient contributions of each mediator. The pattern of results for the mediating effects were systematically replicated across the two trials and suggest that behavioral activation and negative thinking are salient mediators of the Mom-Net intervention; significant mediating effects for savoring were obtained only in the simple mediation models and were not obtained in the multiple mediation models.
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Affiliation(s)
| | | | | | - Craig Leve
- a Oregon Research Institute , Eugene , OR , USA
| | - Betsy Davis
- a Oregon Research Institute , Eugene , OR , USA
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10
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Antle BF, Owen JJ, Eells TD, Wells MJ, Harris LM, Cappiccie A, Wright B, Williams SM, Wright JH. Dissemination of computer-assisted cognitive-behavior therapy for depression in primary care. Contemp Clin Trials 2019; 78:46-52. [PMID: 30572162 DOI: 10.1016/j.cct.2018.11.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 10/30/2018] [Accepted: 11/02/2018] [Indexed: 01/17/2023]
Abstract
Computer-assisted cognitive-behavior therapy (CCBT) for depression in primary care will be evaluated in a trial with 240 patients randomly assigned to CCBT or treatment as usual (TAU). The study will disseminate a therapy method found to be effective in psychiatric settings into primary care - a setting in which there have been significant problems in the delivery of adequate, evidence-based treatment for depression. The study will include a high percentage of disadvantaged (low-income) patients - a population that has been largely ignored in previous research in CCBT. There have been no previous studies of CCBT for depression in primary care that have enrolled large numbers of disadvantaged patients. The form of CCBT used in this study is designed to increase access to effective therapy, provide a cost-effective method, and be a sustainable model for wide-spread use in primary care. In order to deliver therapy in a practical manner that can be replicated in other primary care practices, patients with significant symptoms of depression will receive treatment with an empirically supported computer program that builds cognitive-behavior therapy skills. Support for CCBT will be provided by telephone and/or e-mail contact with a care coordinator (CC) instead of face-to-face treatment with a cognitive-behavior therapist. Outcome will be assessed by measuring CCBT completion rate, comprehension of CBT concepts, and satisfaction with treatment, in addition to ratings of depressive symptoms, negative thoughts, and quality of life. The cost-effectiveness analysis and exploration of possible predictors of outcome should help clinicians, health care organizations, and others plan further dissemination of CCBT in primary care.
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Affiliation(s)
- Becky F Antle
- Kent School of Social Work, University of Louisville, United States.
| | - Jesse J Owen
- Department of Counseling Psychology, Denver University, United States
| | - Tracy D Eells
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, United States
| | - Michael J Wells
- Department of Social Work, Western Kentucky University, United States
| | - Lesley M Harris
- Kent School of Social Work, University of Louisville, United States
| | - Amy Cappiccie
- Department of Social Work, Western Kentucky University, United States
| | - Brent Wright
- Department of Counseling Psychology, Denver University, United States
| | - Sara M Williams
- Kent School of Social Work, University of Louisville, United States
| | - Jesse H Wright
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, United States
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11
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Liu P, Li G, Zhang A, Sun N, Kang L, Yang C, Wang Y, Zhang K. The prognosis and changes of regional brain gray matter volume in MDD with gastrointestinal symptoms. Neuropsychiatr Dis Treat 2019; 15:1181-1191. [PMID: 31190826 PMCID: PMC6514124 DOI: 10.2147/ndt.s197351] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 04/08/2019] [Indexed: 12/12/2022] Open
Abstract
Objective: It is common that major depressive disorder (MDD) is accompanied by gastrointestinal (GI) symptoms. However, few studies have focused on the clinical characteristics and its possible mechanism, while brain gray matter (GM) structure is important in the pathogenesis of GI symptoms. In this study, we aimed to investigate the basic clinical characteristics and regional GM volume changes in MDD accompanied by GI symptoms. Method: Patients with MDD (n=49) and age, gender, and educational level-matched healthy controls (n=30) were recruited. Patients with MDD were divided into two groups based on the GI status: MDD with (n=27) and without (n=22) GI symptoms. The 24-item Hamilton Depression Rating Scale (HAMD) was administered. T1-weighted anatomical images were obtained and analyzed. Correlation analysis was used to identify the possible associations between changed regional GM volume and GI symptoms and depressive symptoms. Results: The HAMD reductive ratio for 2 weeks of treatment in the GI symptoms group was significantly higher than the non-GI symptoms group (P<0.05). The regional GM volume showed significant differences among the three groups (Gaussian Random Field [GRF] correction, voxel-P<0.01, cluster-P <0.05). Compared with non-GI symptoms group, GI symptoms group exhibited significantly increased GM volume in the left hippocampus, left parahippocampal gyrus, right parahippocampal gyrus; and decreased GM volume in the right middle frontal gyrus, right precentral gyrus, right cuneus, right precuneus, right superior occipital gyrus (GRF correction, voxel-P <0.01, cluster-P <0.05). These altered brain areas were correlated with the GI symptoms, not depressive symptoms. Conclusion: The changed regional brain GM volume in GI-MDD group may be the pathogenesis for the GI symptoms. In addition, the GI symptoms may predict the prognosis of MDD.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China.,Department of Psychiatry, Shanxi Medical University, Taiyuan, 030001, People's Republic of China
| | - Gaizhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Lijun Kang
- Department of Psychiatry, Shanxi Medical University, Taiyuan, 030001, People's Republic of China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
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12
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Boyd RC, Price J, Mogul M, Yates T, Guevara JP. Pilot RCT of a social media parenting intervention for postpartum mothers with depression symptoms. J Reprod Infant Psychol 2018; 37:290-301. [DOI: 10.1080/02646838.2018.1556788] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Rhonda C. Boyd
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jordan Price
- Policylab: Center to Bridge Research Practice, & Policy, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, Philadelphia, PA, USA
| | - Marjie Mogul
- Research Department, Maternity Care Coalition, Philadelphia, PA, USA
| | - Tweety Yates
- Children’s Research Center, University of Illinois, Champaign, IL, USA
| | - James P. Guevara
- Policylab: Center to Bridge Research Practice, & Policy, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, Philadelphia, PA, USA
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