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Maruyama JM, Bauer A, Hammerton G, Halligan SL, Santos IS, Munhoz TN, Barros AJD, Barros FC, Fairchild G, Matijasevich A. Pathways from maternal depression to child resilience: Socioeconomic, family, and individual factors in the 2004 Pelotas (Brazil) birth cohort. JCPP ADVANCES 2023; 3:e12188. [PMID: 38054047 PMCID: PMC10694539 DOI: 10.1002/jcv2.12188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 01/17/2023] [Accepted: 06/16/2023] [Indexed: 12/07/2023] Open
Abstract
Background The negative impacts of maternal depression on child mental health outcomes are well-documented. However, some children show adaptive functioning following exposure to maternal depression, demonstrating resilience. In a large birth cohort from Brazil, a middle-income country, we examined direct and indirect pathways, considering socioeconomic, family, and individual factors, contributing to the development of resilience. Methods Using data from the 2004 Pelotas Birth Cohort (N = 4231), we restricted the sample to those exposed to maternal depression up to age 6 years (depression present at ≥2 out of 5 assessment waves; n = 1132; 50% boys). Resilience was defined as scoring below or equal to the mean of the unexposed group on all four problem subscales of the parent-report Strengths and Difficulties Questionnaire at age 11 years. We examined pathways from socioeconomic status (SES; measured at birth) to resilience via cognitive stimulation (CS) (at 24 and 48 months) and Intelligence quotient (IQ) (at 6 years), and from CS to resilience via IQ, using counterfactual mediation. Results A minority of children exposed to maternal depression showed resilience (12.4%). There was evidence of indirect pathways from SES to resilience via CS (odds ratio (OR) = 1.76, 95% confidence interval (CI) 1.02-3.38) and IQ (OR = 1.19, 95% CI 1.01-1.42), such that higher SES was associated with resilience via both higher levels of CS and higher IQ, which, in turn, were each positively associated with resilience. Furthermore, there was evidence of a direct (OR = 1.86, 95% CI 1.01-3.76) and total effect (OR = 1.94, 95% CI 1.05-3.89) of CS on resilience, even after controlling for SES. However, these effects varied depending on how persistent and severe depression was defined. Conclusions These findings suggest that CS in early childhood may represent a modifiable protective factor for children exposed to maternal depression and a promising intervention target to promote child resilience in the context of maternal depression exposure.
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Affiliation(s)
- Jessica Mayumi Maruyama
- Departamento de Medicina PreventivaFaculdade de Medicina FMUSPUniversidade de São PauloSão PauloBrazil
| | - Andreas Bauer
- Department of PsychologyUniversity of BathBathUK
- Human Development and Violence Research Centre (DOVE)Federal University of PelotasPelotasBrazil
- Postgraduate Program in EpidemiologyFederal University of PelotasPelotasBrazil
| | - Gemma Hammerton
- Population Health SciencesBristol Medical SchoolUniversity of BristolBristolUK
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK
| | - Sarah L. Halligan
- Department of PsychologyUniversity of BathBathUK
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Ina S. Santos
- Postgraduate Program in EpidemiologyFederal University of PelotasPelotasBrazil
- Postgraduate Program in Paediatrics and Child HealthPontifical Catholic University of Rio Grande do SulPorto AlegreBrazil
| | - Tiago N. Munhoz
- Postgraduate Program in EpidemiologyFederal University of PelotasPelotasBrazil
- Faculty of PsychologyFederal University of PelotasPelotasBrazil
| | | | - Fernando C. Barros
- Postgraduate Program in Health and BehaviourCatholic University of PelotasPelotasBrazil
| | | | - Alicia Matijasevich
- Departamento de Medicina PreventivaFaculdade de Medicina FMUSPUniversidade de São PauloSão PauloBrazil
- Postgraduate Program in EpidemiologyFederal University of PelotasPelotasBrazil
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Senn M, Stadelmann C, Forster F, Nussbeck FW, Bodenmann G. Parental stress mediates the effects of parental risk factors on dysfunctional parenting in first-time parents: A dyadic longitudinal study. JOURNAL OF SOCIAL AND PERSONAL RELATIONSHIPS 2023; 40:4335-4358. [PMID: 38058532 PMCID: PMC10695745 DOI: 10.1177/02654075231165340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Academic Contribution Register] [Indexed: 12/08/2023]
Abstract
Both parental psychological well-being (e.g., depressive symptoms) and parental relationship functioning (e.g., negative communication) are common parental risk factors for dysfunctional parenting. The spillover process from these parental characteristics to dysfunctional parenting is assumed to be amplified by parental stress, which is particularly common among mothers and fathers of young children. However, few studies have examined dyadic spillover processes from parental risk factors and parental stress on parenting in early childhood. In the current study, we first examined direct actor and partner effects of parents' depressive symptoms and negative communication at 10 months postpartum on dysfunctional parenting at 48 months postpartum in 168 primiparous mixed-gender couples. Second, we analyzed indirect effects via one's own and the partner's parental stress at 36 months postpartum using Actor-Partner Interdependence Mediation Models (APIMeM). We found direct actor effects for mothers' depressive symptoms and negative communication on their dysfunctional parenting. Additionally, indirect actor effects were found for depressive symptoms and negative communication among mothers and fathers. Specifically, mediating effects of depressive symptoms and negative communication on one's dysfunctional parenting through one's parental stress were found. There were no indirect partner effects through parental stress. These findings highlight the important role of parental stress in early childhood as a mediator between both individual and relationship parental risk factors and dysfunctional parenting. These results further underscore the importance of longitudinal dyadic analyses in providing early and tailored interventions for both mothers and fathers of young children.
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Affiliation(s)
- Mirjam Senn
- Department of Psychology, University of Zurich, Zurich, Switzerland
| | | | - Fabienne Forster
- Gynaeco-Psychiatry, Cantonal Psychiatric Clinic, St. Gallen, Switzerland
| | | | - Guy Bodenmann
- Department of Psychology, University of Zurich, Zurich, Switzerland
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Ni X, Su H, Lv Y, Li R, Chen C, Zhang D, Chen Q, Zhang S, Yang Z, Sun L, Zhou Q, Zhu X, Gao D, Fang S, Hu C, Pang G, Yuan H. The major risk factor for depression in the Chinese middle-aged and elderly population: A cross-sectional study. Front Psychiatry 2022; 13:986389. [PMID: 36440394 PMCID: PMC9691648 DOI: 10.3389/fpsyt.2022.986389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Academic Contribution Register] [Received: 07/05/2022] [Accepted: 10/27/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The number of patients suffering from depression is continuously increasing in China. Demographic characteristics, physical health levels, and individual lifestyles/healthy behaviors are associated with the severity of depression. However, the major risk factor for depression remains unclear. MATERIALS AND METHODS In this investigation, 16,512 patients were screened using the CHARLS (China Health and Retirement Longitudinal Study) database after being determined to be eligible based on the inclusion criteria. Depressive symptoms were evaluated through the CESD-10 (10-item Center for Epidemiological Studies Depression Scale). Consequently, various models were developed based on potential predictive factors, employing stepwise LR (Logistic Regression)/RF (Random Forests) models to examine the influence and weighting of candidate factors that affect depression. RESULTS Gender, residential address location, changes in health status following last interview, physical disabilities, chronic pain, childhood health status, ADL (activity of daily living), and social activity were all revealed to be independent risk factors for depression (p < 0.05) in this study. Depression has a synergic effect (across chronic pain and age groups). In comparison to other factors, RF results showed that chronic pain had a stronger impact on depression. CONCLUSION This preliminary study reveals that chronic pain is a major risk factor for depression.
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Affiliation(s)
- Xiaolin Ni
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Huabin Su
- Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yuan Lv
- Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Rongqiao Li
- Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Chen Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Di Zhang
- Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Qing Chen
- Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Shenqi Zhang
- Department of Joint and Sports Medicine, Zaozhuang Municipal Hospital Affiliated to Jining Medical University, Shandong, China
| | - Ze Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Liang Sun
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Qi Zhou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Xiaoquan Zhu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Danni Gao
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Sihang Fang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Caiyou Hu
- Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Guofang Pang
- Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Huiping Yuan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
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