Assessing the validity of a Parkinson's care evaluation: the PRIME-NL study.

INTRODUCTION: The PRIME-NL study prospectively evaluates a new integrated and personalized care model for people with parkinsonism, including Parkinson's disease, in a selected region (PRIME) in the Netherlands. We address the generalizability and sources of selection and confounding bias of the PRIME-NL study by examining baseline and 1-year compliance data. METHODS: First, we assessed regional baseline differences between the PRIME and the usual care (UC) region using healthcare claims data of almost all people with Parkinson's disease in the Netherlands (the source population). Second, we compared our questionnaire sample to the source population to determine generalizability. Third, we investigated sources of bias by comparing the PRIME and UC questionnaire sample on baseline characteristics and 1-year compliance. RESULTS: Baseline characteristics were similar in the PRIME (n = 1430) and UC (n = 26,250) source populations. The combined questionnaire sample (n = 920) was somewhat younger and had a slightly longer disease duration than the combined source population. Compared to the questionnaire sample in the PRIME region, the UC questionnaire sample was slightly younger, had better cognition, had a longer disease duration, had a higher educational attainment and consumed more alcohol. 1-year compliance of the questionnaire sample was higher in the UC region (96%) than in the PRIME region (92%). CONCLUSION: The generalizability of the PRIME-NL study seems to be good, yet we found evidence of some selection bias. This selection bias necessitates the use of advanced statistical methods for the final evaluation of PRIME-NL, such as inverse probability weighting or propensity score matching. The PRIME-NL study provides a unique window into the validity of a large-scale care evaluation for people with a chronic disease, in this case parkinsonism.

The personality of violent Jihadists: Examining violent and nonviolent defense of Muslims.

OBJECTIVE: Although violent extremism is often attributed to clinical (dysfunctional) dispositions, it is also possible that violent Jihadists might be clinically "normal" but bear certain personality signatures. This alternative view has yet to be tested. METHOD: In six studies, employing hard-to-reach Muslim samples, including one study of former Mujahideen, we investigated the relationship between basic personality traits and violent extremism. We further used a known group paradigm to validate the personality signatures of violent extremism, comparing a sample of former Mujahideen with another sample from Afghanistan. RESULTS: These studies and an internal meta-analysis revealed that Lower Openness to Experience, lower Emotionality, and lower Altruism were associated with more violent intentions to support Muslims. Higher Altruism was associated with higher levels of nonviolent intention to support Muslims. Supporting the validity of the nonviolent intention measure, similar associations were found in Study 3 with overt behavioral support of Muslims (donations). More important, compared to the nonMujahideen, the Mujahideen sample scored lower on average on, for instance, Openness, indicating that these results go beyond self-reported, findings. CONCLUSION: We demonstrated that personality predicts violent and nonviolent defense of Muslims among four general populations of Muslims living in the West and in Asia (including the Middle East), and a sample of Mujahideen in Afghanistan.

The state of telemedicine for persons with Parkinson's disease.

PURPOSE OF REVIEW: The COVID-pandemic has facilitated the implementation of telemedicine in both clinical practice and research. We highlight recent developments in three promising areas of telemedicine: teleconsultation, telemonitoring, and teletreatment. We illustrate this using Parkinson's disease as a model for other chronic neurological disorders. RECENT FINDINGS: Teleconsultations can reliably administer parts of the neurological examination remotely, but are typically not useful for establishing a reliable diagnosis. For follow-ups, teleconsultations can provide enhanced comfort and convenience to patients, and provide opportunities for blended and proactive care models. Barriers include technological challenges, limited clinician confidence, and a suboptimal clinician-patient relationship. Telemonitoring using wearable sensors and smartphone-based apps can support clinical decision-making, but we lack large-scale randomized controlled trials to prove effectiveness on clinical outcomes. Increasingly many trials are now incorporating telemonitoring as an exploratory outcome, but more work remains needed to demonstrate its clinical meaningfulness. Finding a balance between benefits and burdens for individual patients remains vital. Recent work emphasised the promise of various teletreatment solutions, such as remotely adjustable deep brain stimulation parameters, virtual reality enhanced exercise programs, and telephone-based cognitive behavioural therapy. Personal contact remains essential to ascertain adherence to teletreatment. SUMMARY: The availability of different telemedicine tools for remote consultation, monitoring, and treatment is increasing. Future research should establish whether telemedicine improves outcomes in routine clinical care, and further underpin its merits both as intervention and outcome in research settings.

The HEXACO-100 Across 16 Languages: A Large-Scale Test of Measurement Invariance.

The HEXACO Personality Inventory-Revised (HEXACO-PI-R) has become one of the most heavily applied measurement tools for the assessment of basic personality traits. Correspondingly, the inventory has been translated to many languages for use in cross-cultural research. However, formal tests examining whether the different language versions of the HEXACO-PI-R provide equivalent measures of the 6 personality dimensions are missing. We provide a large-scale test of measurement invariance of the 100-item version of the HEXACO-PI-R across 16 languages spoken in European and Asian countries (N = 30,484). Multigroup exploratory structural equation modeling and confirmatory factor analyses revealed consistent support for configural and metric invariance, thus implying that the factor structure of the HEXACO dimensions as well as the meaning of the latent HEXACO factors is comparable across languages. However, analyses did not show overall support for scalar invariance; that is, equivalence of facet intercepts. A complementary alignment analysis supported this pattern, but also revealed substantial heterogeneity in the level of (non)invariance across facets and factors. Overall, results imply that the HEXACO-PI-R provides largely comparable measurement of the HEXACO dimensions, although the lack of scalar invariance highlights the necessity for future research clarifying the interpretation of mean-level trait differences across countries.

Group-Based Relative Deprivation Explains Endorsement of Extremism Among Western-Born Muslims.

Although jihadist threats are regarded as foreign, most Islamist terror attacks in Europe and the United States have been orchestrated by Muslims born and raised in Western societies. In the present research, we explored a link between perceived deprivation of Western Muslims and endorsement of extremism. We suggest that Western-born Muslims are particularly vulnerable to the impact of perceived relative deprivation because comparisons with majority groups' peers are more salient for them than for individuals born elsewhere. Thus, we hypothesized that Western-born, compared with foreign-born, Muslims would score higher on four predictors of extremism (e.g., violent intentions), and group-based deprivation would explain these differences. Studies 1 to 6 ( Ns = 59, 232, 259, 243, 104, and 366, respectively) confirmed that Western-born Muslims scored higher on all examined predictors of extremism. Mediation and meta-analysis showed that group-based relative deprivation accounted for these differences. Study 7 ( N = 60) showed that these findings are not generalizable to non-Muslims.

Smartphone applications for Movement Disorders: Towards collaboration and re-use.

BACKGROUND: Numerous smartphone and tablet applications (apps) are available to monitor movement disorders, but an overview of their purpose and stage of development is missing. OBJECTIVES: To systematically review published literature and classify smartphone and tablet apps with objective measurement capabilities for the diagnosis, monitoring, assessment, or treatment of movement disorders. METHODS: We systematically searched for publications covering smartphone or tablet apps to monitor movement disorders until November 22nd, 2023. We reviewed the target population, measured domains, purpose, and technology readiness level (TRL) of the proposed app and checked their availability in common app stores. RESULTS: We identified 113 apps. Most apps were developed for Parkinson's disease specifically (n = 82; 73%) or for movement disorders in general (n = 17; 15%). Apps were either designed to momentarily assess symptoms (n = 65; 58%), support treatment (n = 22; 19%), aid in diagnosis (n = 16; 14%), or passively track symptoms (n = 11; 10%). Commonly assessed domains across movement disorders included fine motor skills (n = 34; 30%), gait (n = 36; 32%), and tremor (n = 32; 28%) for the motor domain and cognition (n = 16; 14%) for the non-motor domain. Twenty-six (23%) apps were proof-of-concepts (TRL 1-3), while most apps were tested in a controlled setting (TRL 4-6; n = 63; 56%). Twenty-four apps were tested in their target setting (TRL 7-9) of which 10 were accessible in common app stores or as Android Package. CONCLUSIONS: The development of apps strongly gravitates towards Parkinson's disease and a selection of motor symptoms. Collaboration, re-use and further development of existing apps is encouraged to avoid reinventions of the wheel.

Usability and utility of a remote monitoring system to support physiotherapy for people with Parkinson's disease.

Background: Physiotherapy for persons with Parkinson's disease (PwPD) could benefit from objective and continuous tracking of physical activity and falls in daily life. Objectives: We designed a remote monitoring system for this purpose and describe the experiences of PwPD and physiotherapists who used the system in daily clinical practice. Methods: Twenty-one PwPD (15 men) wore a sensor necklace to passively record physical activity and falls for 6 weeks. They also used a smartphone app to self-report daily activities, (near-)falls and medication intake. They discussed those data with their PD-specialized physiotherapist (n = 9) during three regular treatment sessions. User experiences and aspects to be improved were gathered through interviews with PwPD and physiotherapists, resulting in system updates. The system was evaluated in a second pilot with 25 new PwPD (17 men) and eight physiotherapists. Results: We applied thematic analysis to the interview data resulting in two main themes: usability and utility. First, the usability of the system was rated positively, with the necklace being easy to use. However, some PwPD with limited digital literacy or cognitive impairments found the app unclear. Second, the perceived utility of the system varied among PwPD. While many PwPD were motivated to increase their activity level, others were not additionally motivated because they perceived their activity level as high. Physiotherapists appreciated the objective recording of physical activity at home and used the monitoring of falls to enlarge awareness of the importance of falls for PwPD. Based on the interview data of all participants, we drafted three user profiles for PwPD regarding the benefits of remote monitoring for physiotherapy: for profile 1, a monitoring system could act as a flagging dashboard to signal the need for renewed treatment; for profile 2, a monitoring system could be a motivational tool to maintain physical activity; for profile 3, a monitoring system could passively track physical activity and falls at home. Finally, for a subgroup of PwPD the burdens of monitoring will outweigh the benefits. Conclusions: Overall, both PwPD and physiotherapists underline the potential of a remote monitoring system to support physiotherapy by targeting physical activity and (near-)falls. Our findings emphasize the importance of personalization in remote monitoring technology, as illustrated by our user profiles.

National differences in gender-science stereotypes predict national sex differences in science and math achievement.

About 70% of more than half a million Implicit Association Tests completed by citizens of 34 countries revealed expected implicit stereotypes associating science with males more than with females. We discovered that nation-level implicit stereotypes predicted nation-level sex differences in 8th-grade science and mathematics achievement. Self-reported stereotypes did not provide additional predictive validity of the achievement gap. We suggest that implicit stereotypes and sex differences in science participation and performance are mutually reinforcing, contributing to the persistent gender gap in science engagement.

Mapping principal dimensions of prejudice in the United States.

Research is often guided by maps of elementary dimensions, such as core traits, foundations of morality, and principal stereotype dimensions. Yet, there is no comprehensive map of prejudice dimensions. A major limiter of developing a prejudice map is the ad hoc sampling of target groups. We used a broad and largely theory-agnostic selection of groups to derive a map of principal dimensions of expressed prejudice in contemporary American society. Across a series of exploratory and confirmatory studies, we found three principal factors: Prejudice against marginalized groups, prejudice against privileged/conservative groups, and prejudice against unconventional groups (with some inverse loadings for conservative groups). We documented distinct correlates for each factor, in terms of social identifications, perceived threats, personality, and behavioral manifestations. We discuss how the current map integrates several lines of research, and point to novel and underexplored insights about prejudice. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Partisan-motivated sampling: Re-examining politically motivated reasoning across the information processing stream.

The United States is increasingly politically polarized, fueling intergroup conflict and intensifying partisan biases in cognition and behavior. To date, research on intergroup bias has separately examined biases in how people search for information and how they interpret information. Here, we integrate these two perspectives to elucidate how partisan biases manifest across the information processing stream, beginning with (a) a biased selection of information, leading to (b) skewed samples of information that interact with (c) motivated interpretations to produce evaluative biases. Across three experiments and four internal meta-analyses, participants (N = 2,431) freely sampled information about ingroup and outgroup members or ingroup and outgroup political candidates until they felt confident to evaluate them. Across experiments, we reliably find that most participants begin sampling information from the ingroup, which was associated with individual differences in group-based motives, and that participants sampled overall more information from the ingroup. This sampling behavior, in turn, generates more variability in ingroup (relative to outgroup) experiences. We find that more variability in ingroup experiences predicted when participants decided to stop sampling and was associated with more biased evaluations. We further demonstrate that participants employ different sampling strategies over time when the ingroup is de facto worse-obfuscating Real Group Differences-and that participants selectively integrate their experiences into evaluations based on congeniality. The proposed framework extends classic findings in psychology by demonstrating how biases in sampling behavior interact with motivated interpretations to produce downstream evaluative biases and has implications for intergroup bias interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Domineering Dispositions and Hierarchy Preferences: Differentiating the Impact of Traits and Social Values in Economic Games.

In this article, we examined the relation between valuing hierarchies (dominant value orientations) and personally wanting to get ahead, without regard for others' welfare (domineering dispositions). Survey data from five studies (total N > 1,500) indicated differences between being domineering and endorsing dominant value orientations. This distinction was also evident in different strategies in economic games. Domineering individuals typically gave less to a powerless player (dictator game) but changed behaviors when the other party possessed bargaining power (ultimatum game). Individuals endorsing dominant value orientations did not show such "exploitative opportunism." In a third-party punishment task, in contrast, individuals with dominant value orientations were more likely to intervene against fair decisions (i.e., upholding inequalities between others). Correcting behaviors of others were not predicted by domineering dispositions. We discuss implications for distinguishing between traits and social values more broadly.

The Nature of Islamophobia: A Test of a Tripartite View in Five Countries.

This article provides an examination of the structure of Islamophobia across cultures. Our novel measure-the Tripartite Islamophobia Scale (TIS)-embeds three theoretically and statistically grounded subcomponents of Islamophobia: anti-Muslim prejudice, anti-Islamic sentiment, and conspiracy beliefs. Across six samples (i.e., India, Poland, Germany, France, and the United States), preregistered analyses corroborated that these three subcomponents are statistically distinct. Measurement invariance analyses indicated full scalar invariance, suggesting that the tripartite understanding of Islamophobia is generalizable across cultural contexts. Furthermore, the subcomponents were partially dissociated in terms of the intergroup emotions they are predicted by as well as the intergroup outcomes they predict (e.g., dehumanization, ethnic persecution). For example, intergroup anger and disgust underpin Islamophobic attitudes, over and above the impact of fear. Finally, our results show that social dominance orientation (SDO) and ingroup identification moderate intergroup emotions and Islamophobia. We address both theoretical implications for the nature of Islamophobia and practical interventions to reduce it.

The group-motivated sampler.

Does ingroup favoritism reflect experience or some preset motivation? The latter possibility is well examined in social psychology, but models from cognitive psychology suggest that unrepresentative samples of experience can generate biases even in the absence of motivational concerns. It remains unclear, however, how motivation and initially sampled experiences interact when both influences are possible, and people encounter new groups. Extending classic arguments about motivated information gathering, we propose that people can be described as "group-motivated samplers"-marked by a tendency to primarily seek out information about one's own group, and to attend more to information that portrays the ingroup in a positive light. Four experiments showed that information seeking almost always starts with the ingroup, and that people chose to gather more information from the ingroup compared to an outgroup. In subsequent group evaluations, people were excessively positive about ingroups giving a good initial impression. Participants were also fairly accurate, on average, about the direction and magnitude of group differences when the ingroup was de facto better, but downplayed those differences in the opposite situation. Further analyses indicated that first experiences led to biased evaluations because people failed to discount for nonrepresentative (positive) ingroup experiences, whereas interpretive biases seem responsible for evaluations based on belonging to a better/worse performing group. Taken together, while social psychologists know that people tend to portray ingroups in a flattering light, we show how people selectively incorporate early experiences to build those impressions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Eye-Tracking Based Attention Bias Modification (ET-ABM) Facilitates Disengagement from Negative Stimuli in Dysphoric Individuals.

To address shortcomings of purely reaction-time based attention bias modification (ABM) paradigms, a novel eye-tracking based ABM training (ET-ABM) was developed. This training targets the late disengagement from negative stimuli and the lack of attention for positive information, which are characteristics of depression. In the present study, 75 dysphoric students (BDI ≥ 9) were randomly assigned to either this positive training (PT), or a sham-training (ST) that did not train any valence-specific gaze pattern (positive and negative pictures had to be disengaged from and attended to equally often). Results showed that the PT induced a positive attentional bias (longer fixations of positive than negative pictures). Although the ST group showed an increase in positive attentional bias as well, this increase was not as strong as in the PT group. Compared to the ST, the PT specifically induced faster disengagement from negative pictures. No differential training effects were found on stress responses or state rumination. These results show that the ET-ABM successfully modifies attentional processes, specifically late disengagement from negative stimuli, in dysphoric students, and hence might be a promising alternative to existing ABM paradigms.

Is group membership necessary for understanding generalized prejudice? A re-evaluation of why prejudices are interrelated.

Many scholars have proposed that people who reject one outgroup tend to reject other outgroups. Studies examining a latent factor behind different prejudices (e.g., toward ethnic and sexual minorities) have referred to this as generalized prejudice. Such research has also documented robust relations between latent prejudice factors and basic personality traits. However, targets of generalized prejudice tend to be lower in power and status and thus it remains an open question as to whether generalized prejudice, as traditionally studied, is about devaluing outgroups or devaluing marginalized groups. We present 7 studies, including experiments and national probability samples (N = 9,907 and 4,037) assessing the importance of outgroup devaluation, versus status- or power based devaluations, for understanding the nature of generalized prejudice, and its links to personality. Results show that (a) personality variables do not predict ingroup/outgroup biases in settings where power and status differences are absent, (b) women and overweight people who score high on generalized prejudice devalue their own groups, and (c) personality variables are far more predictive of prejudice toward low-compared with high-status targets. Together, these findings suggest that the personality explanation of prejudice including the generalized prejudice concept is not about ingroups versus outgroups per se, but rather about devaluing marginalized groups. (PsycINFO Database Record

"Not one of us": predictors and consequences of denying ingroup characteristics to ambiguous targets.

We investigated individual difference predictors of ascribing ingroup characteristics to negative and positive ambiguous targets. Studies 1 and 2 investigated events involving negative targets whose status as racial (Tsarnaev brothers) or national (Woolwich attackers) ingroup members remained ambiguous. Immediately following the attacks, we presented White Americans and British individuals with the suspects' images. Those higher in social dominance orientation (SDO) and right-wing authoritarianism (RWA)-concerned with enforcing status boundaries and adherence to ingroup norms, respectively-perceived these low status and low conformity suspects as looking less White and less British, thus denying them ingroup characteristics. Perceiving suspects in more exclusionary terms increased support for treating them harshly, and for militaristic counter-terrorism policies prioritizing ingroup safety over outgroup harm. Studies 3 and 4 experimentally manipulated a racially ambiguous target's status and conformity. Results suggested that target status and conformity critically influence SDO's (status) and RWA's (conformity) effects on inclusionary versus exclusionary perceptions.