Abstract
Background:
High Expressed Emotion (HEE) has been identified as a risk factor for the exacerbation and course of mental illness. EE has been investigated as a caregiver's response to an offspring's problem behavior and pathology. The present meta-analysis regards EE from a transgenerational perspective and as one mechanism that might explain the transgenerational transmission of mental disorders.
Method:
We identified a total of 13 studies relying on 16 independent samples of parent-child dyads of parents with a mental illness and healthy controls; these were included in our analysis. Results were synthesized into one effect size per sample; meta-regression on additional effects of parental diagnostic category, child mental illness, and child age were also applied.
Results:
Parents with a mental illness are classified as HEE significantly more often. Effects were established for high criticism, albeit of small size (OR = 1.45), although they become stronger whenever offspring exhibit mental illness themselves (OR = 2.82).
Conclusion:
The current study highlights the dearth of studies on EE in families in which a parent has a mental illness and its effects on their children. Our findings highlight EE as a potential mechanism for attributing the transgenerational transmission of mental disorders, especially for the EE-variable criticism, indicating dysfunctional parent-child interactions.
Systematic Review Registration:
http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42019117609, identifier: CRD42019117609.
Introduction
Worldwide, about 12.1–38.5% of children and adolescents are living with a parent who experiences a Mental illness1 (–). A parent's mental illness is a powerful risk factor (OR 2.4) for their offspring to develop mental health problems (), and about one third of the children of parents with a mental illness experience serious mental illness later in life (). Many studies have shown adverse outcomes in children of parents with a mental illness, including children's attachment problems, internalizing, and externalizing behavior problems as well as social, cognitive, physical, and mental illness (–).
The Transgenerational Transmission of Mental Disorders system was developed and advanced to provide a comprehensive model to explain such transgenerational transmission of disorders in children of parents with a mental illness (). This model identifies four major domains (i.e., 1. parent, 2. family, 3. child, 4. social environment) that interact with their respective systems and are influenced by five transmission mechanisms (i.e., 1. genetics, 2. prenatal factors, 3. parent-child-interaction, 4. Family, and 5. social factors) (). Child development over its life span is considered, as are the concepts of multi- and equifinality, concordance, and specificity (). Specifically parent-child-interaction is considered to be a core mechanism contributing to the heightened risk of children of parents with a mental illness for developing a serious mental illness (, , ) (see Figure 1).
Figure 1
Parent-Child-Interaction
Parenting behaviors are influenced by parental psychopathology, attitudes, attributional styles as well as the child's characteristics on a dyadic level (
Over the past five decades, EE has been a concept of interest in the field of family relations, and is regarded as an indirect measure of the emotional family climate. Developed for parents of adult patients with schizophrenia, EE was identified to play an important role in the course and relapse of mental illness (
Parents With a Mental Illness and EE
EE traditionally was developed to assess caregiver's attitudes on adult patients with schizophrenia. Attributions that perceive the cause of problem behavior as internally controllable by the patient/offspring result in more negative emotional responses (
EE in the Field of Child Psychology
In the field of clinical child and adolescent psychology, HEE is regarded as an indicator of the quality of the parent-child-relationship (
Aims
Although extensive research has been carried out on EE and offspring's psychopathology, comparatively little is known about EE in families in which a parent had a mental illness. The following meta-analysis aimed to investigate HEE as a typical cognitive and affective style of parents with a mental illness.
Moreover, we focused on children of parents with a mental illness and parental EE, assuming EE to be a transgenerational mechanism facilitating the development of mental illness in children of parents with a mental illness (
Methods
Data Sources and Searches
This meta-analysis was performed according to the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) statement (
Figure 2

Study flowchart.
Inclusion Criteria
Abstracts of all studies identified from the initial search were screened based on specific inclusion criteria. Studies were included if they reported (a) an experimental or observational design based on (b) a sample of parents of children aged 18 years or younger, (c) a standardized assessment or screening of parental psychopathology and a diagnosis according to DSM or ICD, and (d) a valid measure of parental EE such as the CFI (
For our meta-analysis of parental psychopathology and expressed emotion, parents had to be classified as the index patient to ensure an estimation of predictive effects. Control conditions had to be no intervention or an internal comparison in case of cohort studies. Furthermore, parents and children had to be free of pervasive developmental disorders to avoid adverse factors caused by these. Studies comparing an active intervention with medication (i.e., psychotherapy vs. medication only) were excluded. All studies included had to provide sufficient information to calculate effect sizes (e.g., means and SDs, T-tests for independent samples, n per subgroup, r, Odds Ratio).
Study Selection
Studies, titles, and abstracts were screened by one reviewer (JF) and relevant studies were extracted that matched our aim and inclusion and exclusion criteria specified for this review. In this respect, a systematic two-stage screening process to identify relevant studies was applied and two authors (JF and LMD) carried out full text screening independently. Discrepancies were resolved through discussion with a third author (HC).
Study Characteristics/Data Collection Process
Each study was coded on several different domains including publication year, country, primary study aims, study design (e.g., control group), setting, recruitment method, length of follow up, inclusion and exclusion criteria, study participants (i.e., age, sex, diagnosis of parent and children) characteristics of the applied diagnostic instruments or screenings, assessment measure and report of EE status, and the blinding of EE raters. Furthermore, parental diagnostic category was dummy coded, differentiating on a superordinate level of diagnosis, for example, depressive disorders, anxiety disorders. Since information on the children's diagnoses was lacking, only the presence or absence of a diagnosed mental illness was coded. As studies reported inconsistent EE outcome categories, presence or absence of HEE/LEE, CRIT, and EOI was coded in the first step. As CRIT was reported predominantly and information on EOI was lacking, only data on CRIT were extracted. Presence or absence of statistical parameters (M, SD, SE, CI, correlation and regression coefficient, β, χ2, B) and N per subgroup was coded. As not all studies reported children‘s mean age but rather age ranges, we coded age categories as well (infants ≤ 20 months, preschoolers > 20 months and ≤ 6 years, school age children > 6 years and ≤ 12 years, and adolescents > 12 years and ≤ 18 years). When defining the age range for the school aged children, we followed the typical age of school entry in Germany even though this might deviate from school entry ages in other countries, as that is where the authors of the study are based.
A subset of study data was extracted by two raters independently, and inter-rater reliability was calculated for each variable. Inter-rater agreement for the coded study characteristics was k = 1.00 indicating perfect agreement, except for the variable type of comparison with k = 0.43 that resulted in moderate agreement (
Interrater-agreement for the coded moderator variables was between k = 0.57–1.00, indicating substantial agreement. Study quality was coded with the Newcastle Ottawa rating scale for observational studies NOS (
Effect Size Calculation
For the meta-analysis reporting on parental psychopathology and EE, correlational data were transformed into Fisher's z, studies reporting continuous data/means and standard deviation were transformed into Cohen's d and binary/dichotomized data into log odds ratios (
Meta-analysis was performed with Metafor Version 2.1-0 for R (Version 3.6.1) using the random effect model (REM) with DerSimonian-Laird method estimator for effect variance τ2 (
Results
Data on 16 independent comparisons (parents with a mental illness vs. without) derived from 13 studies with a total of N = 2815 parents (n = 2,254 mothers, n = 561 fathers) were available for our analyses. The sample consisted of 607 parents with a diagnosis of a mental disorder, 675 healthy parents. Further, 1,533 parents could not be assigned to the group of parents with or without a mental illness because only correlational data on the association between EE and parental mental illness was reported from both parents with and without a mental illness within the same group (see Table 1). Nevertheless, OR were computed for the correlation based data. Studies were conducted in the USA, UK, and Australia.
Table 1
| Parental disorder | Maternal depression: 11 studies Maternal and paternal depression: 2 studies Anxiety disorder: 1 study Affective disorder, not further specified: 1 study |
| Family composition | 80% mothers-child dyad 20% father-child dyad |
| Parental age | 36.68 years (SD = 6.68 years) |
| Children's age | ≤ 20 months (infants): 3 studies ≤ 6 years (pre-schoolers): 3 samples ≤ 12 years (school age kids): 7 samples ≤ 18 years (adolescents): 3 samples |
| Children's sex | 54.7% female |
| Study design | Observational: 0 Longitudinal studies: 9 Experimental: 0 Controlled trials: 3 Randomized controlled trial: 1 |
| Assessment setting | Clinic: 1 study (8%) Home: 4 studies (31%) Home and centre based: 3 studies (23%) Not reported: 5 studies (38%) |
| EE assessment tool | FMSS: 10 studies (79%) Preschool Five Minute Speech Sample: 1 study: (7 %) Camberwell Family Interview: 1 study (7%) Family Attitude Scale: 1 study (7%) |
| Grouping | Parents with a diagnosis of mental illness: N = 607 (n = 184 male, n = 423 female) Parents without any diagnosis of a mental illness: N = 675 (n = 219 male, n = 456 female) Group Membership n.A. due to correlational data: 1,533 |
Characteristics of parental psychopathology and EE studies with means, SDs, percentages.
For details on the studies as well as parental disorders, see Table 2. Study quality (Table 2; Supplementary Material) was generally medium with 6.25 on the NOS (min. 2, max. 9). Studies predominantly reported CRIT and lacked information on EOI. Because of this, the future analysis only refers to data on the CRIT specification of the HEE construct. Across 13 studies with k = 16 independent samples and unique effects, overall parental psychopathology was positively associated with CRIT ( =1.34 [95% CI = 1.01–1.77] p <0.05). Cochran's Q-Test suggests variability among true effects (Q = 35.28, df = 15, p = 0.022). The variance in the true effect is estimated to be τ2 = 0.15. The amount of total variability between the observed effect sizes due to heterogeneity is estimated to be I2 = 57.49%, and was “moderate” (
Table 2
| Study | Country | Disorder studied in parents | Clinical assessment tool | Setting | Female rate | Parent's age in years (M) | Child's age (M) | EE assessment | Study quality | N | OR |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Psychogiou et al. ( | UK | Depression | SCID, PHQ-9 | Home | 48% | 3.9 years (SD = 0.8) | PFMSS | 9 | 302 | ||
| Mothers | 36 | 144 | 1.55 | ||||||||
| Fathers | 39 | 158 | 1.34 | ||||||||
| Mellick et al. ( | USA | Depression | SCID-I | N.A. | 100% | 40 | 10–16 months | FAS | 6 | 81 | 2.08 |
| Gravener Davis ( | USA | Depression | DIS-IV, BDI | Home and centre based | 100% | N.A. | 24 months | FMSS | 4 | 205 | 1.73 |
| Gravener et al. ( | USA | Depression | DIS-IV, BDI | Home and centre based | 100% | 31.68 | 20 months | FMSS | 8 | 198 | 1.87 |
| Burkhouse et al. ( | USA | Depression | SADS-L, BDI-II | N.A. | 100% | 38.56 | 9.97 years | FMSS | 7 | 100 | 0.87 |
| Tompson et al. ( | USA | Depression | SCID, BDI | Home and centre based | 100% | 42.2 | 8–12 years | FMSS | 0 | 171 | 2.82 |
| Gibb et al. ( | USA | Depression, anxiety disorder | SADS-L, BDI | N.A. | 100% | 38.56 | 9.97 years (SD = 1.32) | FMSS | 6 | 100 | 0.86 |
| Netsi ( | UK | Depression | SCID-I, EPDS | Home | 50% | 33.11 | 12 months | FMSS | 7 | 103 | 0.70 |
| Frye and Garber ( | USA | Depression | SCID | N.A. | 100% | 38.56 | 11.88 years (SD = 0.55) | FMSS | 7 | 194 | 2.36 |
| Nelson et al. ( | USA | Depression | SCID-IV, BDI | Home | 100% | 41 | 15.2 years | FMSS | 9 | 739 | 1.31 |
| Brennan et al. ( | AUS | Depression | SCID | Home | 0% | 25.58 (at time of birth) | 15.2 years | FMSS | 8 | 300 | 0.68 |
| Hirshfeld et al. ( | USA | Depression, anxiety disorder | DIS | Clinic | 100% | N.A. | 11 years | FMSS | 8 | 70 | 3.00 |
| Schwartz et al. ( | USA | Affective disorders | SADS-L | N.A. | 100% | N.A. | CFI | 4 | 252 | ||
| 1–9 years | 25 | 4.8 | |||||||||
| 10–14 years | 104 | 0.06 | |||||||||
| 15–19 years | 123 | 1.25 |
Studies included for meta-analysis with the dependent variable parental EE.
Annotation: Studies are ordered by publication year with the most recent being at the top. N.A., not available; SCID, Structured Clinical Interview for DSM Disorders; SCID-IV, Structured Clinical Interview for DSM IV Disorders; PHQ-9, Patient Health Questionnaire-9; DIS-IV, Diagnostic Interview Schedule for DSM-IV; BDI, Beck's Depression Inventory; BDI-II, Beck's Depression Inventory Revision; SADS-L, Schedule for Affective Disorders and Schizophrenia- Lifetime version; EPDS, Edinburgh Postnatal Depression Scale; EE Assessment, Expressed Emotion Assessment; FMSS, Five Minute Speech Sample; PFMSS, Preschool Five Minute Speech Sample; CFI, Camberwell Family Interview; FAS, Family Attitude Scale; N, total number of participants; OR, Odds Ratio.
Sensitivity Analyses
Two samples of one study (
Table 3
| Study sample | Mean ES (OR) | 95% CI | z score | Q | τ2 | I2 | k | N |
|---|---|---|---|---|---|---|---|---|
| Initial sample | 1.34 | [1.01–1.77] | 2.06 | 35.28** | 0.15 | 57.49 | 16 | 2,815 |
| Reduced sample | 1.45*** | [1.19–1.76] | 3.71 | 16.58 | 0.02 | 21.58 | 14 | 2,686 |
Summary statistics regarding parental psychopathology and CRIT.
Initial sample, all studies included in analysis; Reduced sample, sample after outlier removal; CI, confidence Interval; Q, Homogeneity statistic; τ2, variance between true effects; I2 amount of true variance among total variance; k, number of comparison- controls; N, total number of participants.
*p < 0.05; **p < 0.01; ***p < 0.001.
Figure 3

Forest plot for the odds ratio based on the log scale of the association between parental psychopathology and high Expressed Emotion derived from 13 studies (based on 14 independent samples).
With the reduced sample, we tested the data under the FEM. The common true effect of the included studies is estimated to be = 1.43 [95% CI = 1.23–1.68], z = 4.51, p < 0.0001). These findings are almost identical to those obtained applying the REM, and results seem to be robust for choosing a meta-analytic model.
Publication Bias
In terms of potential publication bias, a funnel plot inspection revealed no asymmetrical distribution of the observed effects around the average true effect (see Figure 4). The visual inspection is supported by the rank correlation test (Kendall's τ = −0.09, p = 0.67) and the regression test (z = −0.15, p = 0.88) indicating no funnel plot asymmetry.
Figure 4

Funnel plot for the odds of the association between parental mental illness and CRIT after removal of outliers.
Performing Cochrane's Q-Test with the reduced sample, heterogeneity remained insignificant (Q = 16.58, df = 13, p = 0.22). The variance of the true effect is estimated to be τ2 = 0.0277 (SE = 0.0514). The amount of total variability between the observed effect sizes due to heterogeneity is estimated to be I2 = 21.58%, and was overall low (93). Nevertheless, the moderator analysis seemed appropriate due to the low sample numbers (k) included (see Table 4).
Table 4
| Moderator | SE | 95% CI | |
|---|---|---|---|
| Intercept | 1.83** | 0.67 | [0.51, 0.316] |
| Infant | −1.31 | 0.70 | [−2.68, 0.06] |
| Pre-schooler | −1.19 | 0.72 | [−2.6, 0.23] |
| School age | −1.06 | 0.65 | [−2.33, 0.21] |
| Adolescent | −1.50* | 0.68 | [−2.83, −0.16] |
| Child diagnosis | −0.80* | 0.31 | [−1.40, −0.18] |
| Male gender | −0.54 | 2.9 | [−1.10, 0.01] |
Results of meta-regression including hypothesized moderators.
, estimate of regression parameters; SE, adjusted standard error of regression parameter; CI, confidence interval.
p < 0.1; *p < 0.05; **p < 0.01; ***p < 0.001.
Meta-Regression
We performed the meta-regression with the reduced set of samples. Moderator analysis revealed child age as not significant when entered as a continuous variable ( = −0.001, QModel = 0.002, df = 1, p = 0.96). Child age was a significant moderator for the strength of the association between parental mental illness and Crit, when entered as a categorical variable into the model (infants: = 0.40,QModel = 12.36, df = 2, p = 0.0021; pre-schoolers: = 0.36, QModel = 12.23, df = 2, p = 0.0022; school-age children: = 0.36, QModel = 12.25, df = 2, p = 0.0022; adolescents: = 0.30, QModel = 12.30, df = 2, p = 0.0021). In accordance with those results, the absence of a child's diagnosis was a significant moderator when analysed as a dichotomous moderator ( = 0.43, p < 0.0001, QModel = 1.86, df = 2, p = 0.17) as τ2 was reduced, thus explaining the variance through the moderator.
Study quality proved to be a non-significant moderator ( = −0.06, p = 0.31) (QModel = 1.03, df = 1, p = 0.31), as did parental diagnostic category (QModel = 1.02, df = 2, p = 0.60). When parental sex was examined (QModel = 2.49, df = 1, p = 0.11), we observed significant associations with the female ( = 0.43, p < 0.0001) but not male sex ( = −0.42, p = 0.11).
When entering parental sex, presence of the child's diagnosis and child-age category as predictors into the regression model (see Table 4) (QModel = 11.87, df = 6, p = 0.06), the amount of unaccounted variability decreased (I2 = 0%) and the moderators accounted for R2 = 100 % of the heterogeneity. The child-age category adolescence ( = −1.495, p = 0.02) and presence of the child's diagnosis ( = −0.80, p = 0.01) remained significant predictors in the multiple meta-regression with adolescents producing small effects ( = 1.40) and children with a diagnosis producing medium effects ( = 2.82) (
Discussion
The aim of the present meta-analysis was to estimate the overall effects of a parental mental illness on EE compared to controls without any mental illness within the literature. With respect to existing studies on EE and youth psychopathology, we were able to depict a small but significant overall effect (OR = 1.45) between parental mental illness and CRIT. This finding provides support for our assumption that parental CRIT is a specific reactional style of parents with a mental illness and more frequent in parent-child relations within their families. Parents with a mental illness tend to react more critically and make more critical statements when asked about their relationship with their child. For this reason, HEE cannot be regarded as only a reaction to children's psychopathology (
Our analysis was limited to the coding of CRIT and lacks information on EOI, because data on EOI was neither sufficiently available nor reported, and the present studies mainly reported on CRIT. This is not very surprising as the use of EOI in studies on children lacks validity and is under discussion (
Surprisingly, only one (
Unfortunately, our sample only consisted of parents with depression and anxiety disorders, and our findings are limited to that diagnosis spectrum. CRIT can be regarded as reflecting the attributional and cognitive style typical of depression (97). However, information on EE in the families of parents with mental disorders other than depression and anxiety is urgently required to improve our understanding of family interactions, especially EE, as a mechanism of transmission.
Our sample consisted predominantly of mothers with a mental illness, and female controls. Unfortunately, 1,533 dyads could not be allocated to the clinical or control group due to correlational data from the studies included. Future studies should aim for a more balanced sex relation and be clear about group allocation. Female sex functioned as a significant moderator. Nonetheless, we cannot draw any conclusions about fathers and CRIT based on our data. This finding is congruent with the literature, because fathers have been neglected in the research on parents with a mental illness (98). There are indications that fathers with depression do not present with higher levels of HEE or CRIT, but that they do make fewer warm, positive remarks than healthy controls (
Implementing adolescent age into the regression resulted in small effects (OR = 1.40), but we can make no statement about younger ages. We were able to show a significant increase in overall effects (OR = 2.82) when children were presenting with a mental health problem themselves, providing support for EE CRIT acting as a mechanism in the transgenerational transmission of mental disorders. Considering HEE's prognostic power in predicting treatment response in adolescents (
One additional possible explanation is that genetically vulnerable children who may have a difficult temperament are exposed to overly critical parents, develop problem behavior and psychopathology over time. The children's problem behaviors provoke even more negativity and criticism from already burdened parents, leading to an internal vicious circle of mental illness, critical cognitions, attitudes, and reactions the children might adapt while growing up that appear on the level of family interactions in the Transgenerational Transmission of Mental Disorders system.
To our knowledge, this meta-analysis is the first to assess the overall effects of the presence or absence of a parental mental illness on CRIT, and to integrate the concept of CRIT within the Transgenerational Transmission of Mental Disorders system. It is important to identify CRIT's wider prevalence in parents with a mental illness, because future therapeutic interventions may identify and target parental CRIT as a specific component of parent-child-relations and reflection of the family climate in clinical assessments. As behavioral observations of parent-child-interactions are so time-consuming, costly, and require extensive training of observers, EE carries the potential to detect disrupted intra-family interactions within families of parents with a mental illness in everyday therapeutic interventions.
Limitations
We were unable to differentiate the children's mental illnesses, nor whether they were suffering from either internalizing or externalizing disorders. There was also a lack of specific information on children's age in the studies included. It is important to clearly differentiate children's age, and not just age categories, because the exposure to CRIT at an early age predicts the development of problem behavior later in life (
Study quality did not function as a moderator, and inter-rater-agreement was medium despite the extensive training of coders. Furthermore, inter-rater agreement of the study variable type of comparison was moderate due to the difficulty of rating comparisons in population-based studies. Our search was restricted to articles in English and German, which may have precluded the identification of other relevant studies, although we included the gray literature to avoid the “file drawer-problem”, as published studies most often report significant findings that disturb the overall balance of results. Furthermore, data was exclusively descended from English speaking countries within the Organization for Economic Co-operation and Development (OECD).
The systematic literature search was updated last in November 2021, thus potentially new articles published after November 2021 are not included in this review. However, in order to be able to complete a review and meta-analysis, one has to come to a decision of when to stop and we believe that we were able to arrive at significant results with the studies included, especially in light of the fact that results of the publication bias analysis do not indicate a distortion and according to fail safe n analysis k = 36 studies would need to be included to change the result to non-significance.
Conclusions
The current study highlights the dearth of studies on EE in families of mentally ill parents and their children, who already carry a higher risk of developing mental illnesses themselves. Established effects of CRIT and parental mental illness are significant, although generally small, and become stronger as offspring develop mental disorders themselves. These results support the importance of HEE/CRIT as a mechanism in the Transgenerational Transmission of Mental Disorders and as a firm component of dysfunctional parent-child-interactions. Future studies are needed to deepen our understanding of EE and particularly of EOI and warmth in families in which parents suffer from a mental illness. The research on EE in families of children of parents with a mental illness has the potential to guide future preventive interventions and may be exploited in interventions especially developed to improve parent-child-relations.
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Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author/s.
Author contributions
JF designed the study, performed and updated the search strategy, completed the statistical analysis, and wrote the protocol. LMD did the independent full text screening as second rater and was involved in the inclusion process of studies. NB did the quality assessment and coding of study variables as second rater. JA gave methodological advice and supported the drafting of the manuscript. HC functions as PHD advisor and supervised the study and preparation of manuscript and commented on the whole manuscript. All authors contributed to the article and approved the submitted version.
Acknowledgments
We would like to thank our student assistant Michelle Marschall for her support in the preparation of this manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2021.721796/full#supplementary-material
Footnotes
1.^Mental illness as diagnosed by a validated, standardized clinical assessment tool (e.g., clinical interview).
Appendix A
Table A1
| Population | Disorder | Intervention |
|---|---|---|
| • Parent* • Child • Maternal • Parental • “Mentally ill parents” | • Mental* • Mental illness • Mentally ill • Mental disorder* • Mental health problems • Mental disease • Affective disorder* • Bipolar disorder • Anxiety disorder • Phobia • Specific phobia • Generalized anxiety disorder • Depression* • Panic disorder* • Substance abuse • Addictive disorder • Addiction* • Eating disorder* • Anorexia nervosa • Bulimia nervosa • Insomnia • Obsessive compulsive disorder* (OCD) • Impulse control disorder* • Adjustment disorder* • Post traumatic stress disorder* (PTBS) • Personality disorder* • Borderline • Somatoform disorder* • Hypochondria • Psychososmatic disorder* | • Expressed Emotion • EE • Five minute speech sample • Camberwell family interview • Family questionnaire • Family attitude scale |
Full search strategy for databases; terms within categories were combined with OR, between categories with AND.
*truncation or wildcard.
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Summary
Keywords
Expressed Emotion, children of parents with a mental illness, COPMI, transgenerational transmission, mental disorders, risk factor, parent child interaction
Citation
Fahrer J, Brill N, Dobener LM, Asbrand J and Christiansen H (2022) Expressed Emotion in the Family: A Meta-Analytic Review of Expressed Emotion as a Mechanism of the Transgenerational Transmission of Mental Disorders. Front. Psychiatry 12:721796. doi: 10.3389/fpsyt.2021.721796
Received
07 June 2021
Accepted
14 December 2021
Published
01 February 2022
Volume
12 - 2021
Edited by
Anja Wittkowski, The University of Manchester, United Kingdom
Reviewed by
Victoria E. Cosgrove, Stanford University, United States; Renee Rienecke, Eating Recovery Center (ERC), United States; Lynsey Gregg, The University of Manchester, United Kingdom
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© 2022 Fahrer, Brill, Dobener, Asbrand and Christiansen.
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*Correspondence: Julia Fahrer julia.fahrer@staff.uni-marburg.de
This article was submitted to Child and Adolescent Psychiatry, a section of the journal Frontiers in Psychiatry
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