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1.
Oxf Med Case Reports ; 2024(9): omae109, 2024 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-39281336

RESUMEN

Recognising emergent acute pathology in the context of established chronic conditions can be challenging and is often overlooked due to cognitive biases in the physician's decision making. In the context of Parkinson's disease (PD), there is a large overlap between the non-motor symptoms of PD, common gastrointestinal symptoms amongst the elderly population, and symptoms associated with acute, severe GI pathology, which can result in diagnostic overshadowing. Here, a 68-year-old man with a background of PD reported nausea, constipation, and abdominal discomfort during routine frailty review by his general practitioner (GP). The patient reported these were common symptoms which usually resolved with laxatives. Aware of the potentially sinister nature of this presentation, the GP arranged transfer to the emergency department where CT subsequently revealed a closed-loop small bowel obstruction. This case highlights how frailty medicine is particularly susceptible to cognitive biases, which are commonly cited sources of medical errors.

2.
J Electrocardiol ; 87: 153803, 2024 Sep 12.
Artículo en Inglés | MEDLINE | ID: mdl-39288710

RESUMEN

INTRODUCTION: Electrocardiography (ECG) remains a fundamental tool in cardiovascular diagnostics, frequently relying on System 1 thinking-rapid, intuitive pattern recognition (PR). However, this approach can be insufficient when dealing with complex cases where diagnostic precision is essential. This article emphasizes the importance of integrating System 2 thinking-a more deliberate, evidence-based approach-into ECG interpretation to enhance diagnostic accuracy and avoid clinical errors. METHODS: This review examines the distinction between findings that can be adequately managed through System 1 PR and those requiring System 2 reasoning supported by diagnostic accuracy studies. RESULTS: While System 1 PR is effective for recognizing routine ECG findings and self-evident truths, it falls short in conditions where the ECG serves as a mere surrogate marker for underlying pathology. Examples such as false-negative acute coronary occlusions illustrate the need for System 2 reasoning to account for the limitations of ECG's diagnostic precision. Relying solely on System 1 in these contexts risks treating the ECG as an infallible diagnostic tool and as a false gold standard for many diseases, which it is not. CONCLUSION: To prevent diagnostic errors, ECG interpretation must distinguish between self-evident truths suited for PR and findings that require System 2 reasoning due to their association with actual pathology. Clinicians and educators should prioritize evidence-based methods, incorporating System 2 reasoning into practice to improve diagnostic precision and patient outcomes.

3.
Q J Exp Psychol (Hove) ; : 17470218241282404, 2024 Sep 13.
Artículo en Inglés | MEDLINE | ID: mdl-39268570

RESUMEN

A central goal for psychological science is the explanation of variation in human behaviour. In the domain of language, patterns of cross-linguistic variation have been extensively documented, but there has been vigorous debate over how to explain them. A particularly contentious question is whether constraints on linguistic variation are driven by properties of the human mind that are specific to language, or domain general. In this paper, we present four pattern-learning experiments (N=306 English- and Italian-speaking adults) across domains (linguistic and non-linguistic) and modalities (visual, auditory, and tactile) to show that the patterns that are more easily learned are precisely the ones that are found most frequently across languages. This supports a domain-general, cognitive explanation for cross-linguistic variation. However, we suggest that the general/specific dichotomy is ultimately misleading because language structure arises when domain- and modality-general biases meet domain-specific representations.

4.
Adv Child Dev Behav ; 67: 104-131, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39260901

RESUMEN

Disabled people are the largest minority group in the world. Like members of many minority groups, they face considerable prejudice and discrimination-known as ableism. Ableism reflects entrenched beliefs about what human bodies and minds should be like and a devaluation of individuals who deviate from that ideal. There is surprisingly little psychological science about ableism, and even less about its development. This chapter considers how social-cognitive biases evident in early childhood could contribute to its development. The chapter is structured around four biases: Prescriptive reasoning, promiscuous teleology, psychological essentialism, and the positivity bias. For each bias, we review foundational research about how it manifests in early childhood, speculate about its connection to ableism, and outline avenues for additional research. Understanding how social-cognitive biases contribute to the development of ableism is an important first step in efforts to equip children (and adults) with the tools to reject it.


Asunto(s)
Prejuicio , Cognición Social , Humanos , Niño , Preescolar , Grupos Minoritarios , Percepción Social , Personas con Discapacidad , Capacitismo
5.
Mem Cognit ; 2024 Sep 03.
Artículo en Inglés | MEDLINE | ID: mdl-39225980

RESUMEN

In addressing human reasoning biases, "easy-fix" attentional focus interventions have shown that we can prompt reasoners to align responses with logico-mathematical principles. The current study aimed to test the impact of such interventions on both intuitive and deliberate responses on base-rate items. Using a two-response paradigm, participants provided initial intuitive responses under time constraints and cognitive load, followed by deliberate responses. During the intervention, we used attentional focus manipulations with base-rate items that aimed to redirect participants' attention toward the "logical" base-rate cue (i.e., the logical intervention) or toward the "heuristic" descriptive cue (i.e., the heuristic intervention). The results indicate that the logical intervention led to improved alignment with logico-mathematical principles in both intuitive and deliberate responses, albeit with a modest effect size. Conversely, the heuristic intervention had no discernible impact on accuracy. This indicates that our attentional focus manipulation is more effective at getting reasoners to respect rather than to override base-rates.

6.
Neuropsychol Rehabil ; : 1-25, 2024 Sep 12.
Artículo en Inglés | MEDLINE | ID: mdl-39263720

RESUMEN

ABSTRACTAcquired Brain Injury (ABI), an important cause of long-term disability, is associated with increased rates of depression in addition to common cognitive and physical consequences. Past research has linked post-ABI depression to injury severity (e.g., extent of physical or cognitive impairment) and premorbid mood problems. In the general (non-ABI) population, depression is associated with cognitive vulnerabilities that have informed the development of psychological interventions. In this observational study in a heterogeneous sample of individuals with chronic stage ABI, we examine two cognitive vulnerabilities - dysfunctional attitudes (DAs) and autobiographical memory specificity - and explore whether these are linked to depression symptoms and ongoing cognitive difficulties as in the general population. Compared to control participants, individuals with an ABI demonstrated increased endorsement of DAs and reduced specificity of autobiographical memory recall. Within the ABI group, cognitive vulnerability-depression symptom correlations were detected for an explicit measure of DAs, but not for a more implicit DA measure or for autobiographical memory specificity. While individual differences in injury severity and other factors likely obscured subtle relationships between mood and cognitive vulnerabilities, evidence of these vulnerabilities may be relevant to changes in identity and psychological interventions that target low mood in ABI.

7.
Laterality ; : 1-20, 2024 Sep 10.
Artículo en Inglés | MEDLINE | ID: mdl-39257221

RESUMEN

Many lateral biases exist in human behavior, often implicit and not deliberated. Romantic kissing and embracing received experimental attention in the last three decades. We investigated laterality in paintings depicting these social interactions using two methodologies to assess whether painters depicted such biases and whether these biases could be due to observers' aesthetic preferences or painters' ability in portraying naturalistic interactions. In Study 1, we inspected about 190,000 artworks available online to classify leftward and rightward biases in romantic kisses and embraces. The comparison of 103 paintings depicting clearly lateralized interactions revealed a significant rightward bias in romantic kissing (66%) and a trend toward a leftward bias (62%) for embraces, aligning with naturalistic studies of human interactions. In Study 2, 128 participants expressed their aesthetic preference between the paintings selected in Study 1 and their vertically mirrored versions. A preference for the original paintings over their mirrored versions emerged, especially when presented in the upper portion of the screen, but no significant preference for the typical lateralization of kissing and embracing was found. These findings suggest that artists' alignment with naturalistic biases could be due to familiarity and exposure to asymmetric interactions rather than observers' aesthetic preferences.

8.
Front Psychol ; 15: 1424728, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39165767

RESUMEN

Emojis are widely used on social media, blogs, and instant messaging to express users' feelings. However, in everyday interactions, the same emoji often has different interpretations and aesthetic preferences among different age groups. This can lead to communication barriers and misunderstandings. Based on social identity theory, this study uses WeChat, a social platform popular in China, to analyze intergenerational differences in emoji understanding and preferences through a questionnaire survey. The results indicate: (1) There are significant intergenerational differences in the usage habits, interpretation, and aesthetic preferences of emojis. (2) Middle-aged and elderly tend to interpret goodbye emoji symbols as simple emotional expressions, such as "goodbye" or "see you later," while younger-age groups lean towards more complex emotions and social intentions, such as "speechlessness" and "end of friendship." (3) Younger-age groups use emojis frequently and with a wide variety, whereas middle-aged and elderly groups use emojis less frequently and with limited variety. Younger individuals' aesthetic preferences for emojis lean towards humor, conflict, and narrative, whereas middle-aged and elderly groups prefer emojis with bright colors and everyday greetings typical of their generation. Based on research findings, we believe that social identity theory provides a framework for understanding how individuals establish their identities through interactions with specific social groups. This study is beneficial for identifying the comprehension and aesthetic biases in emoji usage across generations, sheds light on the broader implications of social identity theory in digital communication contexts, and promotes friendly social interactions in real-time communication applications.

9.
J Surg Oncol ; 2024 Aug 27.
Artículo en Inglés | MEDLINE | ID: mdl-39190462

RESUMEN

Disparities in surgical oncology care may be due to race/ethnicity. Race norming, defined as the adjustment of medical assessments based on an individual's race/ethnicity, and implicit bias are specifically explored in this focused systematic review. We aim to examine how race norming and bias impact oncologic care and postsurgical outcomes, particularly in Black patient populations, while providing potential strategies to improve equitable and inclusive care.

10.
Psychol Rep ; : 332941241269485, 2024 Aug 13.
Artículo en Inglés | MEDLINE | ID: mdl-39138594

RESUMEN

The study of cognitive biases in job interviews has garnered significant attention due to its far-reaching implications for the economy and society. However, little research has focused on the biases exhibited by expert psychologists serving on psychology specialization examination committees. As such, this study has conducted a comprehensive examination of biases within the specialization exam in Israel. One additional objective of the research is to assess the levels of distress experienced by examinees following the examination. Questionnaires were administered to 418 psychologists participating in the clinical and educational psychology specialization exams. The findings unveiled several noteworthy outcomes. Firstly, several biases were identified, including ethnic stereotypes, biases stemming from cognitive load, and more. Secondly, examinees who presented a cognitive-behavioral therapy (CBT) case experienced a higher failure rate. Thirdly, a positive association was found between exam failure and personal distress and this effect was stronger for educational examinees compared to clinical examinees. The most intriguing discovery was that all biases, without exception, occurred among clinical psychologists, whereas educational psychologists displayed no biases. This outcome contrasted with initial expectations. Consequently, the present study aims to expand the existing knowledge about psychological biases and stereotypes by elucidate the reasons behind this discrepancy between the two disciplines while considering the advantages and disadvantages associated with a sense of "expertise" in the realm of adult diagnostics.

11.
Clin Chem Lab Med ; 2024 Aug 19.
Artículo en Inglés | MEDLINE | ID: mdl-39153193

RESUMEN

BACKGROUND: In laboratory setting evaluating the agreement between two measurement methods is a very frequent practice. Unfortunately, the guidelines to refer to are not free from criticisms from a statistical methodological point of view. We reviewed the Clinical and Laboratory Standards Institute guideline EP09c, 3rd ed. pointing out some drawbacks and some aspects that have not been well defined, leaving situations of uncertainty and/or of excessive subjectivity in the judgement. CONTENT: We have stressed the need of having replicates to estimate the systematic and the proportional biases of the measurement methods to be compared. Indeed, unequal variance of the two measurement methods gives a slope and intercept of the regression between the difference and the mean of the two values of the measurement methods to be compared that can be absolutely calculated from their means, their variances and their correlation coefficient. So, it is not possible to disentangle true from spurious biases. For laboratory professionals we have developed a worked exemplification of an agreement assessment. SUMMARY: We have stressed the need of other approaches than the classic Bland and Altman method to calculate the systematic and proportional biases of two measurement methods compared for their agreement in a study with replicates.

12.
Diagnostics (Basel) ; 14(16)2024 Aug 08.
Artículo en Inglés | MEDLINE | ID: mdl-39202215

RESUMEN

INTRODUCTION: Convolutional Neural Network (CNN) systems in healthcare are influenced by unbalanced datasets and varying sizes. This article delves into the impact of dataset size, class imbalance, and their interplay on CNN systems, focusing on the size of the training set versus imbalance-a unique perspective compared to the prevailing literature. Furthermore, it addresses scenarios with more than two classification groups, often overlooked but prevalent in practical settings. METHODS: Initially, a CNN was developed to classify lung diseases using X-ray images, distinguishing between healthy individuals and COVID-19 patients. Later, the model was expanded to include pneumonia patients. To evaluate performance, numerous experiments were conducted with varied data sizes and imbalance ratios for both binary and ternary classifications, measuring various indices to validate the model's efficacy. RESULTS: The study revealed that increasing dataset size positively impacts CNN performance, but this improvement saturates beyond a certain size. A novel finding is that the data balance ratio influences performance more significantly than dataset size. The behavior of three-class classification mirrored that of binary classification, underscoring the importance of balanced datasets for accurate classification. CONCLUSIONS: This study emphasizes the fact that achieving balanced representation in datasets is crucial for optimal CNN performance in healthcare, challenging the conventional focus on dataset size. Balanced datasets improve classification accuracy, both in two-class and three-class scenarios, highlighting the need for data-balancing techniques to improve model reliability and effectiveness. MOTIVATION: Our study is motivated by a scenario with 100 patient samples, offering two options: a balanced dataset with 200 samples and an unbalanced dataset with 500 samples (400 healthy individuals). We aim to provide insights into the optimal choice based on the interplay between dataset size and imbalance, enriching the discourse for stakeholders interested in achieving optimal model performance. LIMITATIONS: Recognizing a single model's generalizability limitations, we assert that further studies on diverse datasets are needed.

14.
J Cogn Psychother ; 2024 Aug 14.
Artículo en Inglés | MEDLINE | ID: mdl-39142809

RESUMEN

This study aimed to examine the mediating role of self-compassion and social anxiety in the relationship between cognitive distortions and emotional eating. The research was carried out on 406 adult individuals between the ages of 18-25 living in different regions of Turkey. To measure research variables, Liebowitz social anxiety, thought types, self-sensitivity, and Turkish emotional eating scale were used. The scales were distributed to the participants online. The data were analyzed through the SPSS program. In the study, it was determined that self-compassion predicted emotional eating negatively and social anxiety predicted emotional eating positively. According to the results of the serial mediation analysis, it was determined that self-compassion and social anxiety mediated the relationship between cognitive distortions and emotional eating separately.

15.
Chronobiol Int ; : 1-10, 2024 Aug 29.
Artículo en Inglés | MEDLINE | ID: mdl-39206925

RESUMEN

The naturalness bias in which people perceive natural items to be safer, healthier, and better than synthetic alternatives has been found to be associated with numerous individual difference variables (e.g. connectedness to nature and religiosity). However, no research has examined the role of morningness-eveningness in influencing preferences for naturalness. Here, we propose that evening individuals may exhibit a weaker preference for naturalness compared to morning individuals due to their greater exposure to artificial lighting, technology, and stimuli. To systematically test our theoretical perspective, we conducted three complementary and high-powered studies. In an online survey (Study 1), student participants with a stronger evening orientation displayed a diminished preference for natural drugs compared to those with a morning orientation. Using a sample of community adults, Study 2 replicated the findings of Study 1 in a real-world, behavioral context. Study 3 examined the relationship between morningness-eveningness and preference for naturalness within the domain of beverages. The results revealed that individuals with an evening-orientation had decreased odds of selecting natural water without minerals. Taken together, the findings suggest that an individual's diurnal preference toward eveningness may have implications for their bias toward and perception of naturalness across various domains.

16.
Arch Gynecol Obstet ; 310(4): 2269-2271, 2024 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-39217221

RESUMEN

Pelvic fractures significantly impact young individuals, with a prevalence of 20 per 100,000, leading to long-term complications such as chronic pain and genitourinary dysfunction. Notably, women with a history of pelvic fractures face increased cesarean section (C-sections) rates during childbirth. This editorial investigates the factors contributing to higher C-section rates in these women, including provider assumptions about delivery complications and systemic hospital biases. Despite these trends, evidence suggests that vaginal delivery can be successful, especially when considering factors like pelvic displacement and the timing of delivery post-fracture. We advocate for education programs to challenge provider biases, transparent patient communication, and evidence-based practices prioritizing patient-centered care. Addressing these issues can enhance maternal and fetal outcomes, supporting women in making informed decisions about their delivery options.


Asunto(s)
Cesárea , Fracturas Óseas , Atención Dirigida al Paciente , Huesos Pélvicos , Humanos , Femenino , Fracturas Óseas/terapia , Embarazo , Huesos Pélvicos/lesiones , Parto Obstétrico/efectos adversos , Práctica Clínica Basada en la Evidencia , Toma de Decisiones , Sesgo
17.
J Clin Epidemiol ; : 111507, 2024 Aug 26.
Artículo en Inglés | MEDLINE | ID: mdl-39197688

RESUMEN

OBJECTIVE: Quantitative bias analysis (QBA) methods evaluate the impact of biases arising from systematic errors on observational study results. This systematic review aimed to summarize the range and characteristics of quantitative bias analysis (QBA) methods for summary level data published in the peer-reviewed literature. STUDY DESIGN AND SETTING: We searched MEDLINE, Embase, Scopus, and Web of Science for English-language articles describing QBA methods. For each QBA method, we recorded key characteristics, including applicable study designs, bias(es) addressed; bias parameters, and publicly available software. The study protocol was pre-registered on the Open Science Framework (https://osf.io/ue6vm/). RESULTS: Our search identified 10,249 records, of which 53 were articles describing 57 QBA methods for summary level data. Of the 57 QBA methods, 53 (93%) were explicitly designed for observational studies, and 4 (7%) for meta-analyses. There were 29 (51%) QBA methods that addressed unmeasured confounding, 19 (33%) misclassification bias, 6 (11%) selection bias, and 3 (5%) multiple biases. 38 (67%) QBA methods were designed to generate bias-adjusted effect estimates and 18 (32%) were designed to describe how bias could explain away observed findings. 22 (39%) articles provided code or online tools to implement the QBA methods. CONCLUSION: In this systematic review, we identified a total of 57 QBA methods for summary level epidemiologic data published in the peer-reviewed literature. Future investigators can use this systematic review to identify different QBA methods for summary level epidemiologic data.

18.
J Youth Adolesc ; 2024 Jul 04.
Artículo en Inglés | MEDLINE | ID: mdl-38965138

RESUMEN

The impact of peer clique school burnout norms on adolescents' emotional adaptation is becoming increasingly prominent, but its underlying mechanisms remain unclear, especially in China where academic achievement is highly valued. The present study examined how clique burnout norms impact the relationship between school burnout, negative cognitive bias, and depressive symptoms. A total of 904 Chinese adolescents (57% boys; Mage = 12.73, SD = 0.43) participated in a two-wave longitudinal study (initiated in 2015, with approximately a 2-year interval). The results of multilevel models indicated that only in low clique burnout norms, adolescents with high school burnout at T1 would exhibit more negative cognitive bias and suffer from more depressive symptoms at T2, whereas the moderating effect was only observed in all-boys cliques. These findings reflect that a decrease in the overall level of burnout within a peer clique does not necessarily benefit every student, and the adaptation issues of students experiencing burnout still require attention even in a relatively healthy context.

19.
PNAS Nexus ; 3(7): pgae239, 2024 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-38966011

RESUMEN

Patients are reluctant to use telemedicine health services, compared to its substitute in-person visits. One reason is that telemedicine can be accurately evaluated and compared to its substitute only after the product has been adopted and experienced. As such, an intervention that increases the probability of a first experience can have lasting effects. This article reports the results of a randomized field experiment conducted in collaboration with a health insurance company. During the intervention, half of the households out of 3,469 in the sample received periodic e-mails with information about the available services. It effectively increased the take-up and demand for telemedicine. Within the first 8 months of the experiment, patients assigned to the treatment group were 6 percentage points more likely to have used the service at least once (and had about five times the odds of using telemedicine compared to those in the control group). Eight months after the start of the intervention, the number of virtual consultations by the treatment group was six times larger than that of the control group. These results, even if limited by the sample and context in which the intervention took place, provide additional evidence about how information interventions can increase technological take-up within the health sector and could serve as the stepping stone for evaluating the impact of telemedicine on health outcomes causally.

20.
Acta Psychol (Amst) ; 248: 104426, 2024 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-39067238

RESUMEN

Behavioural finance invalidates the rationalistic assumptions of the efficient market hypothesis by proposing a realistic explanation for overreaction and underreaction. These phenomena are caused by investors making financial decisions based on their emotions without realizing them. This study attempts to establish the effect of investors' emotional intelligence on behavioural biases, namely, herding, overconfidence bias, and disposition effects, and its consequences for the churning frequency of mutual fund portfolios. This quantitative cross-sectional study was undertaken to collect data from 499 mutual fund investors using a self-administered questionnaire. We found that the disposition effect has a negative impact and that overconfidence bias positively affects the churning frequency of mutual fund portfolios. Furthermore, emotional intelligence, particularly its subconstructs, affects herding bias and overconfidence bias, ultimately impacting the churning frequency of investors. An investor with a higher level of self-motivation is likely to have a disposition effect and herding bias. Investors with disposition impact may be encouraged to reorganize their portfolio if there are any schemes that have been providing negative returns for more than two years or that are not projected to offer significant returns in the future. By understanding how they stack up on each emotional intelligence metric, investors and financial advisors may focus on avoiding the biases that could jeopardize long-term portfolio returns.


Asunto(s)
Inteligencia Emocional , Humanos , India , Adulto , Masculino , Femenino , Estudios Transversales , Inversiones en Salud , Persona de Mediana Edad , Encuestas y Cuestionarios , Adulto Joven , Administración Financiera/estadística & datos numéricos
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