Meta-analysis: Are Psychotherapies Less Effective for Black Youth in Communities With Higher Levels of Anti-Black Racism?

Price, Maggi; Weisz, John R.; McKetta, Sarah; Hollinsaid, Nathan L.; Lattanner, Micah R.; Reid, Allecia E.; Hatzenbuehler, Mark L.

doi:10.1016/j.jaac.2021.07.808

Cited by 45 publications

(40 citation statements)

References 42 publications

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“…Third, in both studies, there was an interaction between structural stigma and time since the intervention (see Fig. 3 for results from Price et al, 2021). Immediately after treatment, the effect sizes for the interventions relative to the control conditions differed little between high-and low-stigma communities.…”

Section: In What Social Contexts Does Stigma Modify the Efficacy Of M...mentioning

confidence: 82%

“…2, left panel; Price et al, 2021) among majority-Black samples was significantly weaker in highstructural-stigma environments than in low-structuralstigma environments. In fact, intervention effect sizes were between 3 (Price et al, 2021) and 4 times as large in low-than in high-structuralstigma environments.…”

Section: In What Social Contexts Does Stigma Modify the Efficacy Of M...mentioning

confidence: 97%

“…Two spatial meta-analyses of behavioral-health intervention studies (i.e., HIV-prevention interventions: 99 effect sizes, and mental-health intervention studies (i.e., psychotherapies: 385 effect sizes, Price et al, 2021) have addressed whether structural stigma moderates intervention efficacy. The interventions in these studies were typically nonadapted; that is, they were general health interventions designed to reduce adverse mental-and behavioral-health outcomes among all respondents, irrespective of whether they had a stigmatized identity, condition, or status.…”

Section: In What Social Contexts Does Stigma Modify the Efficacy Of M...mentioning

confidence: 99%

“…Both spatial meta-analyses examined structural stigma related to race, which was measured by aggregating racial attitudes in the counties and states (Price et al, 2021) where these interventions were conducted. , additionally measured racial residential segregation, which yielded similar results.)…”

Section: In What Social Contexts Does Stigma Modify the Efficacy Of M...mentioning

confidence: 99%

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Does Stigma Moderate the Efficacy of Mental- and Behavioral-Health Interventions? Examining Individual and Contextual Sources of Treatment-Effect Heterogeneity

Hatzenbuehler

Pachankis

2021

Curr Dir Psychol Sci

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In this article, we argue that stigma may be an important, but heretofore underrecognized, source of heterogeneity in treatment effects of mental- and behavioral-health interventions. To support this hypothesis, we review recent evidence from randomized controlled trials and spatial meta-analyses suggesting that stigma may predict not only who responds more favorably to these health interventions (i.e., individuals with more stigma experiences), but also the social contexts that are more likely to undermine intervention effects (i.e., communities with greater structural stigma). By highlighting the potential role of personal and contextual stigma in shaping response to interventions, our review paves the way for additional research.

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Section: In What Social Contexts Does Stigma Modify the Efficacy Of M...mentioning

confidence: 82%

Section: In What Social Contexts Does Stigma Modify the Efficacy Of M...mentioning

confidence: 97%

Section: In What Social Contexts Does Stigma Modify the Efficacy Of M...mentioning

confidence: 99%

Section: In What Social Contexts Does Stigma Modify the Efficacy Of M...mentioning

confidence: 99%

See 2 more Smart Citations

Does Stigma Moderate the Efficacy of Mental- and Behavioral-Health Interventions? Examining Individual and Contextual Sources of Treatment-Effect Heterogeneity

Hatzenbuehler

Pachankis

2021

Curr Dir Psychol Sci

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“…The growing popularity of social media platforms has led to their wide use for several old and new forms of racist practices [6]. Racism is expressed on such platforms in different surreptitious forms such as memes and openly such as posting Tweets containing racist remarks using fake identities.…”

Section: Introductionmentioning

confidence: 99%

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model

et al. 2022

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With social media's dominating role in the socio-political landscape, several existing and new forms of racism took place on social media. Racism has emerged on social media in different forms, both hidden and open, hidden with the use of memes and open as the racist remarks using fake identities to incite hatred, violence, and social instability. Although often associated with ethnicity, racism is now thriving based on color, origin, language, cultures, and most importantly religion. Social media opinions and remarks provocating racial differences have been regarded as a serious threat to social, political, and cultural stability and have threatened the peace of different countries. Consequently, social media being the leading source of racist opinions dissemination should be monitored and racism remarks should be detected and blocked timely. This study aims at detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. Owing to the superior performance of deep learning, a stacked ensemble deep learning model is assembled by combining gated recurrent unit (GRU), convolutional neural networks (CNN), and recurrent neural networks RNN, called, Gated Convolutional Recurrent-Neural Networks (GCR-NN). GRU is on the top in the GCR-NN model to extract the suitable and prominent features from raw text, CNN extracts important features for RNN to make accurate predictions. Obviously, several experiments are conducted to investigate and analyze the performance of the proposed GCR-NN within the scope of machine learning and deep learning models indicating the superior performance of GCR-NN with increased 0.98 accuracy. The proposed GCR-NN model can detect 97% of the tweets that contain racist comments.

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Conceptualizing disparities and differences in the psychobiology of traumatic stress

Correa,

Michopoulos,

Stevens

et al. 2024

Journal of Traumatic Stress

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Understanding biological pathways that mediate trauma‐related psychopathology is a major goal for traumatic stress studies. There is growing interest in studying differences in neural, physiological, and behavioral correlates of traumatic stress across demographic groups (e.g., sex/gender, race/ethnicity). However, challenges remain in how to appropriately conceptualize the source, mechanisms, and practical utility of between‐group variation. The present brief conceptual review discusses ethnicity, race, and sex/gender‐related variability relevant to understanding the psychobiology of traumatic stress in the context of traumatic stress studies. We discuss recent evidence related to socioenvironmental influences on ethnoracial variability in the brain and behavior relevant to traumatic stress, as well as sex/gender associations in neurophysiology that may contribute to the development of adverse posttraumatic sequelae. We further synthesize these findings by discussing intersectional influences of sex/gender‐ and race/ethnicity‐related factors on trauma‐related physical and mental health outcomes. The present review provides an important foundation for future research on disparities and individual differences in traumatic stress to move the field toward more effective assessment and treatment approaches.

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Meta-analysis: Are Psychotherapies Less Effective for Black Youth in Communities With Higher Levels of Anti-Black Racism?

Cited by 45 publications

References 42 publications

Does Stigma Moderate the Efficacy of Mental- and Behavioral-Health Interventions? Examining Individual and Contextual Sources of Treatment-Effect Heterogeneity

Does Stigma Moderate the Efficacy of Mental- and Behavioral-Health Interventions? Examining Individual and Contextual Sources of Treatment-Effect Heterogeneity

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model

Conceptualizing disparities and differences in the psychobiology of traumatic stress

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