Using an implicit measure of attitude to investigate the Stigmatisation and Locus of Control of Psychological Suffering Ciara McEnteggart Department of.

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Using an implicit measure of attitude to investigate the Stigmatisation and Locus of Control of Psychological Suffering Ciara McEnteggart Department of Psychology NUI Maynooth

Psychological Suffering A key feature of psychological suffering is the power of the related label (Timimi, 2011) All labels carry related evaluations (Fernando, 2005) This influences the attitudes held towards the sufferer (Corrigan, 2004) And how the sufferer evaluates themselves (Link et al., 2006)

Stigmatisation Labels and their related evaluations are readily attributed to others in both personal and professional contexts (Link, 2006) They are now part of the fabric of how we talk about ourselves and others They likely comprise both explicit and implicit attitudes (Reeder & Pryor, 2008) And they are not always helpful (Timimi, 2012)

Labels & Stigma For example, stigma, regarding any domain: Reduces life chances of sufferers Reduces access to mental health services Limits advances in treatment. Reinforces differences in socio- economic status exacerbates stress delays help-seeking causes treatment termination There is only a few existing studies that have explored implicit attitudes to mental health labels (Stier, & Hinshaw, 2007; Teachman et al., 2006) This might be an important area of application for the IRAP

Study 1 Method Depression Anxiety Stress Scale (DASS 21) Implicit Measure: Three separate IRAPs Depression IRAP (N= 20) Anxiety IRAP (N= 20) Mental Illness IRAP (N= 20) Explicit Measures: ◦ Community Attitudes to Mental Illness (CAMI) ◦ Stigmatising Attitudes Believability (SAB)

IRAP Stimuli Negative psychological states, feelings and emotions associated with the psychological label Psychological Labels

Depression IRAP

Results Stigmatising/ Pro-Normal Bias Anti-Stigmatising/ Pro-Suffering Bias = Significant effect Stigmatising Bias Pro-Normal Bias Pro-Suffering Effect Suffering-BadSuffering-GoodHealthy-BadHealthy-Good Mean D-Scores

Results Stigmatising attitudes were equally evident in the Suffering-Bad trial-type Large Pro-Normal effect in Normal-Good trial-type Pro-Suffering Bias in the Suffering-Good trial-type, strongest effect in Anxiety IRAP Explicits: CAMI depicted positive attitudes towards people with mental illness SAB indicated no evidence of stigmatising attitude believability No significant correlations between explicit and implicit results

Conclusions Strong Pro-Normal Bias evident on all three IRAPs when relating positive stimuli to being normal Stigmatising attitudes demonstrated on all three IRAPs towards depression, anxiety and mental illness in the Suffering/Bad trial-type (i.e. more readily able to relate negative stimuli with suffering) Interestingly, participants still related positive stimuli to suffering in the Suffering-Good trial-type despite evident stigmatising bias when relating negativity to suffering, strongest effect in Anxiety IRAP No differences across the three IRAPs No stigma on explicit measures

Locus of Control Existing literature suggests that attributions in terms of the locus of control may play an important role in implicit bias 1. External locus of control: suffering is attributed to external sources (e.g. “It’s not my fault I’m ill, it’s a medical problem”) 2. Internal locus of control: suffering is attributed to internal sources (e.g. “It’s my own fault that I feel this way”) In Study 2, we used the IRAP to explore the locus of internal vs. external control with regard to mental health categories by contrasting illness with weak-mindedness

Study 2 Method Depression Anxiety Stress Scale (DASS 21) Implicit Measure: Two separate IRAPs Illness IRAP (N= 20) Weak-mindedness IRAP (N= 20) Explicit Measures: ◦ Community Attitudes to Mental Illness (CAMI) ◦ Stigmatising Attitudes Believability (SAB)

IRAP Stimuli Negative psychological states often used as a Psychological Label Positive psychological states, feelings & emotions

Weak-minded IRAP

Suffering-Bad Results Pro-Healthy/ Stigmatising Pro- Illness/ Weak- mindedness Stigmatising Bias = Significant effect Weak Pro- Suffering Effect Pro-Healthy Bias Suffering-GoodHealthy-BadHealthy-Good Mean D-Scores

Results Stigmatising biases were evident towards both illness and weak- mindedness in the suffering/bad trial-type. Strong Pro-Healthy Bias in Suffering-Good and Suffering-Bad trial-types Slight Pro-Suffering Bias in Suffering-Good trial-type No differences between the two IRAPs Explicits CAMI depicted positive attitudes towards people with mental illness SAB indicated no evidence of stigmatising attitudes believability No significant correlations between explicit and implicit results

Conclusions Stigmatising Bias evident when participants related negative psychological states to illness or weak-mindedness Strong Pro-Normal Bias evident when relating positive psychological states to being healthy. Also, participants were reticent to relate negative psychological states to being healthy Again, participants more readily related positive psychological states than negative to Ill suffering despite evident stigmatising biases. Although this effect was weak.  Suggests slightly positive attitude towards sufferers No differences across IRAPs No stigma on explicit measures

Overall Conclusions No explicit stigmatising attitudes reported on any measure Pro-Normal/Healthy Biases found in all 5 IRAPs Similar Stigmatising Bias towards anxiety, depression, mental illness and weak-mindedness on all IRAPs, but only when relating negative psychological states to suffering (i.e., Suffering-Bad trial-type) – This trial- type is key when measuring Stigma Data from Study 2 indicated that participants were equally stigmatising towards illness as weak-mindedness, suggesting that both sources of the locus of control were operating

Overall Implications Current programme of research is the first to use the IRAP to explore categories used to label psychological suffering The data showed some evidence of stigmatising bias towards the labels, but additional IRAPs may expand upon these effects All data here were recorded with undergraduates, so there may well be differences with sufferers and with professionals