Alcohol usage predicts holistic perception: A novel method for exploring addiction

Improving the DSM-5 approach to cognitive impairment: Developmental prosopagnosia reveals the need for tailored diagnoses

The Diagnostic Statistical Manual of Mental Disorders (DSM-5) recommends diagnosing neurocognitive disorders (i.e., cognitive impairment) when a patient scores beyond - 1 SD below neurotypical norms on two tests. I review how this approach will fail due to cognitive tests' power limitations, validity issues, imperfect reliabilities, and biases, before summarizing their resulting negative consequences. As a proof of concept, I use developmental prosopagnosia, a condition characterized by difficulties recognizing faces, to show the DSM-5 only diagnoses 62-70% (n1 = 61, n2 = 165) versus 100% (n1 = 61) through symptoms alone. Pooling the DSM-5 missed cases confirmed the presence of group-level impairments on objective tests, which were further evidenced through meta-analyses, thus validating their highly atypical symptoms. These findings support a paradigm shift towards bespoke diagnostic approaches for distinct cognitive impairments, including a symptom-based method when validated effective. I reject dogmatic adherence to the DSM-5 approach to neurocognitive disorders, and underscore the importance of a data driven, transdiagnostic approach to understanding patients' subjective cognitive impairments. This will ultimately benefit patients, their families, clinicians, and scientific progress.

Alcohol Use Predicts Face Perception Impairments and Difficulties in Face Recognition

Background: Risky alcohol use is related to a variety of cognitive impairments, including memory and visuo-perceptual difficulties. Remarkably, no prior work has assessed whether usage of alcohol can predict difficulties perceiving facial identity. Objectives: Therefore, this study aimed to investigate whether riskier alcohol consumption predicted impairments in face perception and self-reported difficulties in face recognition. Results: Participants (N = 239, male = 77) were over 18 years old and had normal or corrected-to-normal vision. Alcohol use was assessed using the Alcohol Use Disorder Identification Test (AUDIT), while face recognition difficulties were determined by the 20-item Prosopagnosia Index questionnaire (PI20). A subsample of participants (N = 126, male = 51) completed the Cambridge Face Perception task (CFPT) to assess their face perception ability. Multiple linear regressions showed significant models of prediction on both face perception and face recognition when considering AUDIT score and age as predictors. Conclusion: This study suggested, for the first time, that risky alcohol use predicts both poorer visuo-perceptual processing for faces and self-reported difficulties in face recognition.

Evaluation of Health Pattern and Stress Levels among Patients Undergoing Alcohol Addiction Treatment-A Cross Sectional Study

Alcohol consumption is linked to over 200 diseases and injuries. It is also classified as a risk factor for several types of neoplasms as well as infectious diseases (i.e., HIV and tuberculosis). In 2019, among people aged 25 to 49, alcohol use was the leading risk factor for attributable burden of disease. There are many factors that affect alcohol drinking patterns such as social and economic status, social norms, cultural customs, availability of alcohol, etc. Stress also plays a significant role in the process of developing alcohol addiction. The aim of our study was to examine health patterns and stress levels among patients undergoing alcohol addiction treatment. The study sample consisted of 104 patients who were treated in a hospital ward due to alcohol dependence. Three standardized questionnaire tools were used to measure the sense of coherence and the level of stress among those patients. The main results suggest that the level of perceived stress correlated negatively with all dimensions of sense of coherence and all indicators of health behaviors, however, age was positively correlated with positive mental attitude, proper eating habits, and health behaviors. In conclusion, it is worth noting that developing patterns for positive health behaviors will make it possible to avoid alcohol dependence or reinforce the treatment results if alcohol dependence syndrome occurs.

Exploring the potential of citizen science for public health through an alcohol advertising case study

Citizen science connects academic researchers with the public through combined efforts in scientific inquiry. The importance of involving impacted populations in health research is well established. However, how to achieve meaningful participation and the methodological impact of citizen science needs further examination. We examined the feasibility of using citizen science to understand the impact of alcohol advertising on Australian women through a breast cancer prevention project. Two hundred and eighty-two ('participants') citizen scientists completed demographic and behavioural questions via an online survey. The research participants moved into the role of citizen scientists by completing the data collection tasks of capturing and classifying images of alcohol advertising they saw online. Interrater reliability tests found high levels of agreement between citizen scientists and academic researchers with the classification of alcohol advertising brand (Kappa = 0.964, p < 0.001) and image type (Kappa = 0.936, p < 0.000). The citizen scientists were women aged 18 and over, with 62% between 35 and 55 years old. The majority were from major cities (78%), had attained a bachelor's degree or higher-level education (62%) and were recruited via email or Facebook (86%). The use of citizen science provided methodological gains through the creation of a unique dataset with higher levels of validity than the existing literature, which employed traditional investigator-driven research methodologies. Citizen science enriched the dataset and provided a powerful methodological vehicle to understand an environmental determinant of health. The study illuminates how public participation benefitted the research process, the challenges and the potential for citizen science to improve public health.

Friend effects framework: Contrastive and hierarchical processing in cheerleader effects

Cheerleader effects, group attractiveness effects, and divisive normalization are all characterized by faces appearing more attractive when seen within a group. However, it is possible that your friends could have a detrimental effect upon your attractiveness too: if these group effects arose partly as a contrastive process between your face and your friends, then highly attractive friends may diminish your attractiveness. We confirm this hypothesis across two experiments by showing that the presence of highly attractive friends can indeed make you appear less attractive (i.e., a reverse cheerleader effect), suggesting friend effects are driven in part by a contrastive process against the group. However, these effects are also influenced by your own attractiveness in a fashion that appears consistent with hierarchical encoding, where less attractive targets benefit more from being viewed in an increasingly unattractive group than attractive targets. Our final experiment demonstrates that the company of others not only alters our attractiveness, but also induces shifts in how average or distinctive a target face appears too, with these averageness effects associated with the friend effects observed in our first experiment. We present a Friend Effects Framework within which 'friend effects' is an umbrella term for the positive (e.g., cheerleader effects, group attractiveness effects) and negative (i.e., the reverse cheerleader effect) ways in which hierarchical encoding, group contrastive effects, and other influences of friends can have on your attractiveness.