Demographic and mental health correlates of childhood emotional abuse and neglect in a Hong Kong sample

Fung, Hong Wang; Chung, Hei Man; Ross, Colin A.

doi:10.1016/j.chiabu.2019.104288

Cited by 43 publications

(17 citation statements)

References 57 publications

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“…Emotional maltreatment is perceived as less dangerousand therefore less deserving of Child Protective Services (CPS) finite resources. 21 CPS rarely identify children as being emotionally maltreated 22 and emotional abuse does not appear on the list of circumstances associated with children's removal from their home (for reference, "neglect" broadly defined is responsible for 62% of removals, physical abuse for 13%, and sexual abuse for 4%). 23 However, the strongest associations identified between maltreatment pairings included one or both types of emotional maltreatment.…”

Section: Maltreatment Meta-analysis 10mentioning

confidence: 99%

Population-based estimates of associations between child maltreatment type: A meta-analysis

Matsumoto¹,

Piersiak²,

Letterie³

et al. 2020

Preprint

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Context: There is growing interest in better understanding the specificity and magnitude of associations between child maltreatment types in the general population. Objective: To investigate patterns of covariation between child maltreatment types by meta-analyzing studies that assessed experiences of maltreatment using the Childhood Trauma Questionnaire (CTQ) in population-representative samples. Data Sources: A systematic review of studies available on PubMed, PsycINFO, and Google Scholar was conducted. The bibliographies of studies identified were assessed using forward and backward searching.Study Selection: Included studies used the CTQ, a population-representative sample, and had available data to calculate effect sizes. Data Extraction: Data were converted from pearson correlations to Z statitics, and pooled using a random-effects model.Results: All maltreatment types were positively and significantly associated with one another. Effect size estimates varied from medium to large effects, with (1) physical abuse and emotional abuse (Z = 0.72, 95% CI [.48, .96]); (2) physical neglect and emotional neglect (Z = 0.62, 95% CI [0.43, 0.81]); and (3) emotional abuse and emotional neglect (Z = 0.54, 95% CI [0.35, 0.72]) demonstrating the strongest associations. Limitations: Limitations include the relatively few number of studies included, exclusion of other types of adversity, and those associated with the CTQ—a retrospective, self-report measure that does not account for the concurrence of experiences.Conclusions: These analyses provide important evidence of the associations between types of child maltreatment. The pattern of associations indicate the likelihood of shared risk and point to potential characteristics that may link different types of maltreatment.

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Section: Maltreatment Meta-analysis 10mentioning

confidence: 99%

Population-based estimates of associations between child maltreatment type: A meta-analysis

Matsumoto¹,

Piersiak²,

Letterie³

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Applications of GRM have been gaining attention in survey studies to inform instrument development, evaluation, and revision (e.g., Uttaro and Lehman, 1999;Langer et al, 2008;Carle et al, 2009;Sharkness and DeAngelo, 2011;French and Vo, 2020;Fung et al, 2020). For instance, Uttaro and Lehman (1999) used GRM to analyze the Quality of Life Interview scale and developed three 17-item parallel forms of the instrument, as well as a 10-item short form, for the same construct.…”

Section: Graded Response Modelmentioning

confidence: 99%

Performance of Polytomous IRT Models With Rating Scale Data: An Investigation Over Sample Size, Instrument Length, and Missing Data

Dai

Kehinde

et al. 2021

Front. Educ.

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The implementation of polytomous item response theory (IRT) models such as the graded response model (GRM) and the generalized partial credit model (GPCM) to inform instrument design and validation has been increasing across social and educational contexts where rating scales are usually used. The performance of such models has not been fully investigated and compared across conditions with common survey-specific characteristics such as short test length, small sample size, and data missingness. The purpose of the current simulation study is to inform the literature and guide the implementation of GRM and GPCM under these conditions. For item parameter estimations, results suggest a sample size of at least 300 and/or an instrument length of at least five items for both models. The performance of GPCM is stable across instrument lengths while that of GRM improves notably as the instrument length increases. For person parameters, GRM reveals more accurate estimates when the proportion of missing data is small, whereas GPCM is favored in the presence of a large amount of missingness. Further, it is not recommended to compare GRM and GPCM based on test information. Relative model fit indices (AIC, BIC, LL) might not be powerful when the sample size is less than 300 and the length is less than 5. Synthesis of the patterns of the results, as well as recommendations for the implementation of polytomous IRT models, are presented and discussed.

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“…Across seven studies (all non-clinical setting), there were positive relations between CEA and CEN and other mental health issues with different levels of specificity (e.g., hallucination, internalizing problems). The included studies assessed various mental health issues, for instance, auditory and visual hallucination , internalizing problems (van Duin et al, 2019), and general psychological symptoms (Dias et al, 2015;Fung, Chung, & Ross, 2020;O Laoide et al, 2018;Sheikh, Abelsen, & Olsen, 2016;Taillieu et al, 2016). Taillieu et al, (2016) found that experiencing CEA and CEN increased the likelihood for mental health problems; CEN was associated with increased odds (aOR = 1.3) of depression, dysthymia, and social phobia, while CEA was associated with increased odds (aOR = 1.6) for lifetime diagnosis for borderline personality disorder.…”

Section: Cea and Cen And Other Psychological Symptomsmentioning

confidence: 99%

The Impact of Childhood Psychological Maltreatment on Mental Health Outcomes in Adulthood: a Systematic Review and Meta-Analysis

Xiao¹

2021

Preprint

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Childhood emotional abuse and emotional neglect are the least well-studied forms of childhood abuse due to difficulties in detection and definition. Available evidence suggests associations with multiple adulthood mental health problems in both clinical and non-clinical populations. This systematic review and meta-analysis (PROSPERO registration number CRD42020197833) explored the associations between childhood emotional abuse and neglect and various adulthood mental health problems based on eight databases. There were 79 English and 11 Chinese studies meeting inclusion criteria. The results suggested that childhood emotional abuse and emotional neglect had positive associations with various adulthood mental health problems (d = 0.02-1.84) such as depression, anxiety, substance abuse, suicide ideation, or suicide ideation or attempts, personality disorder, eating disorder and other psychological symptoms in the general population and across different geographical regions. Further, the findings suggested that compared with individuals in non-clinical populations, individuals in clinical populations were more likely to have experienced emotional abuse and neglect during their childhood. The review highlights the need for more research on emotional abuse and emotional neglect, especially in non-western countries and the elder populations. They further underline the importance of addressing issues related to childhood emotional abuse/neglect experiences for the prevention and treatment of mental health issues in adulthood.

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Demographic and mental health correlates of childhood emotional abuse and neglect in a Hong Kong sample

Cited by 43 publications

References 57 publications

Population-based estimates of associations between child maltreatment type: A meta-analysis

Population-based estimates of associations between child maltreatment type: A meta-analysis

Performance of Polytomous IRT Models With Rating Scale Data: An Investigation Over Sample Size, Instrument Length, and Missing Data

The Impact of Childhood Psychological Maltreatment on Mental Health Outcomes in Adulthood: a Systematic Review and Meta-Analysis

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