Data were collected using the BRS, OHQ-SF and SWLS. Because the outcome variables were not normally distributed, the researchers used Spearman’s rank-order correlation for associations and Mann–Whitney U, Kruskal–Wallis H and Dunn–Bonferroni post hoc tests for group comparisons. Resilience had a moderate positive correlation with happiness (rs = 0.463, p < .001). Happiness had a weak positive correlation with life satisfaction (rs = 0.145, p = 0.026), while the correlation between resilience and life satisfaction was not statistically significant (rs = 0.111, p = 0.088).

In exploratory, unadjusted analyses, resilience levels differed by gender, marital status, nationality, years of nursing experience and shift type. The abstract reports that marital status was associated with resilience at p = 0.044, but it does not provide the complete set of p-values for the other comparisons. Happiness differed by gender and years of nursing experience. Life satisfaction differed according to educational qualification and employment type.

The findings are limited to a cross-sectional, single-hospital sample and establish associations rather than causal relationships. The reported group analyses were exploratory and unadjusted, and the abstract does not describe adjustment for potential confounders. The authors also call for longitudinal, multicentre research to clarify the relationships among the measures and evaluate interventions. The study was published as an early-access, peer-reviewed accepted manuscript that remains subject to further edits, although the abstract states that it carries a permanent DOI.

Subject of Research: Associations among nurses’ resilience, happiness and life satisfaction in a Saudi tertiary hospital

Article Title: Beyond the shift: happiness, resilience, and life satisfaction among nurses in Saudi Arabia

Article References: Alotaibi, M., Alshowkan, A., & Kamel, N. (2026). Beyond the shift: happiness, resilience, and life satisfaction among nurses in Saudi Arabia. BMC Psychology. https://doi.org/10.1186/s40359-026-05644-6

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05644-6

Keywords: nurses, Saudi Arabia, resilience, happiness, life satisfaction, cross-sectional study, tertiary hospital, well-being, BMC Psychology, Beyond, shift, life

The research, conducted by Fangwen Zhang and Yang He, who are co-first authors, together with colleagues including corresponding authors Tao Xu and Shengjun Wu, builds on a well-established finding: causal attributions about a recipient’s difficulties can influence helping behavior and donation decisions. But the team noticed that the literature had focused largely on the attributions people reach, rather than on the raw evidence those attributions are built from. Drawing on the perspective of causal reasoning, they distinguished two fundamental types of evidence that people use to infer cause and effect. Covariation evidence concerns how frequently a cause and an effect occur together across cases, the statistical regularity that Hume famously identified as the basis of causal inference. Mechanism evidence, by contrast, concerns the process connecting cause to effect, the how rather than the how often, and is generally regarded in the reasoning literature as the more diagnostic of the two.

To test whether this distinction matters for charitable giving, the researchers ran two experiments. Study 1 recruited 243 participants and employed a two-by-two between-subjects design. The first factor was evidence type, contrasting mechanism evidence with covariation evidence. The second factor was evidence presentation, contrasting a condition in which no causal evidence was provided with a condition in which evidence was presented. Participants were randomly assigned to one of the resulting four groups, and the outcome measure was donation intention, the self-reported willingness to give to the cause described in the experimental materials.

The results of Study 1 were clear on both factors. Donation intention was significantly higher in the mechanism evidence group than in the covariation evidence group, confirming that the two types of causal evidence are not psychologically equivalent when people decide whether to give. Donation intention was also significantly higher in the evidence-present group than in the no-evidence group, indicating that supplying any causal evidence at all outperforms leaving the causal question unanswered. Notably, however, the interaction between evidence type and evidence presentation was not significant. In other words, the advantage of mechanism evidence over covariation evidence did not depend on whether evidence was present or absent, and the benefit of presenting evidence did not differ between the two types. The two factors operated independently, each adding its own contribution to donation intention.

That pattern of independent main effects is theoretically meaningful. If mechanism evidence had mattered only when it was highlighted, or if presenting evidence had helped only for one type of causal information, the interaction would have captured it. Instead, the data suggest that the mere presence of causal evidence lifts donation intention, and that the kind of evidence presented shifts intention further, with mechanism evidence holding the edge. For a charity crafting an appeal, this implies two separable levers: first, explain why the problem exists at all; second, prefer an explanation grounded in a causal process over one grounded in statistical co-occurrence.

Study 2 pushed the question further by treating evidence strength as an experimental variable in its own right. The researchers recruited 276 participants and employed a three-by-three between-subjects design, crossing mechanism evidence strength, at low, medium, and high levels, with covariation evidence strength, also at low, medium, and high levels. Participants were randomly assigned to one of nine experimental groups, allowing the team to examine not only whether each type of evidence matters but how graded increases in evidential force translate into graded changes in willingness to donate, and whether the two types of evidence interact when both are manipulated simultaneously.

The findings again revealed significant main effects of both covariation evidence strength and mechanism evidence strength on donation intention. As the strength of either type of causal evidence increased, donation intention showed a significant positive linear trend. Stronger statistical evidence that a cause and an outcome travel together produced proportionally greater willingness to give, and stronger evidence of an underlying causal mechanism did the same. The dose-response character of these trends is important: it suggests that the effect of causal evidence on donation intention is not a threshold phenomenon that switches on once some minimal credibility is reached, but a graded one in which each increment of evidential strength buys an increment of persuasive power.

Yet the interaction between covariation evidence strength and mechanism evidence strength was again not significant. Even when both types of evidence were manipulated across three levels each, they did not amplify or attenuate one another. The effects appear additive rather than synergistic. Strengthening mechanism evidence raises donation intention by roughly the same amount whether covariation evidence is weak or strong, and vice versa. For theories of causal reasoning applied to prosocial behavior, this is a telling result: the two evidence types seem to feed donation decisions through parallel channels rather than converging into a single integrated judgment whose effect depends on the combination. For practitioners, it means there is no obvious shortcut of pairing a strong mechanism with a strong statistic and expecting a multiplicative boost; each strand of evidence earns its own, independent return.

The authors conclude that, in the experimental contexts examined, donation intention varied with the type and strength of causal evidence. By focusing on the evidence that underlies causal attribution rather than on the attributions themselves, the study extends the literature on charitable giving and offers practical implications for charitable organizations seeking to develop evidence-based donation appeals. The upshot for fundraisers is concrete: appeals that explain the mechanism behind a recipient’s hardship should outperform appeals that merely report how often hardship and a purported cause coincide, and investing in more credible, more forceful evidence of either kind should yield measurable gains in intended giving. The researchers are careful to scope these conclusions to the experimental settings they tested, and donation intention, a stated willingness rather than an observed transfer of money, remains the measured outcome, a standard but real gap between what people say they will do and what they ultimately do at the checkout.

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Review Committee of Xijing Hospital, with all participants providing informed written consent, and the authors declare no competing interests. The work was supported by the Gansu Provincial Basic Research Program-Soft Science Project and the Gansu Provincial University Young Doctor Support Program. Accepted on October 1, 2026 and published on October 19, 2026 in BMC Psychology as an open-access article under a Creative Commons Attribution 4.0 license, the paper is being shared early as a citable, peer-reviewed accepted manuscript. For a field that has long known that causal stories move people to help, the contribution here is to specify the ingredients of those stories, showing that the recipe matters, that the potency of each ingredient matters, and that the ingredients work side by side rather than hand in hand.

Subject of Research: Experimental study of how causal evidence type and strength affect charitable donation intention

Article Title: Causal reasoning and donation intention: an experimental study on evidence type, evidence strength, and evidence combination

Article References: Zhang, F., He, Y., Xu, T., Guo, Q., Zhu, T., Cheng, H., Tao, Y., Zheng, W., & Wu, S. (2026). Causal reasoning and donation intention: an experimental study on evidence type, evidence strength, and evidence combination. BMC Psychology. https://doi.org/10.1186/s40359-026-05754-1

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05754-1

Keywords: donation intention, causal reasoning, mechanism evidence, covariation evidence, evidence strength, charitable giving, causal attribution, experimental psychology, helping behavior, BMC Psychology, fundraising appeals, prosocial behavior

Relational deviance is a concept worth unpacking, because it differs sharply from the more familiar image of the employee who steals supplies or falsifies expense reports. Instead of attacking organizational assets directly, relationally deviant workers undermine the social fabric of the workplace itself: spreading rumors, excluding colleagues from critical information, sabotaging alliances, playing coworkers against one another, and weaponizing trust. In environments where coordination and cooperation drive productivity, this category of misconduct can be more corrosive than conventional theft, precisely because it is harder to detect, harder to document, and harder to punish through formal channels. The study’s authors ground their work in Dark Triad personality theory, which groups Machiavellianism alongside narcissism and psychopathy as socially aversive traits, and in moral self-regulation theory, which describes how individuals manage the ethical constraints they place on their own behavior.

Machiavellianism, as a psychological construct, is characterized by emotional coldness, a calculating orientation toward others, cynicism about human nature, and a pragmatic willingness to deceive when it serves self-interest. People high in this trait tend to view social relationships instrumentally — as tools to be used rather than bonds to be honored. The theoretical prediction, therefore, is straightforward: employees who see colleagues as instruments should be more likely to engage in relational deviance, because the interpersonal harm such behavior causes registers to them as strategy rather than betrayal. The empirical results confirmed this expectation. Using validated instruments including the Machiavellian Personality Scale, the Relational Deviance Scale, the Moral Disengagement Scale, and the Psychological Capital Scale, the researchers found a significant positive association between Machiavellian tendencies and relationally deviant conduct.

But the direct link is only the beginning of the story. The study’s central contribution lies in its analysis of two conditioning factors: moral disengagement and psychological capital. Moral disengagement, a concept developed within social cognitive theory, refers to the set of cognitive maneuvers people use to rationalize harmful behavior — euphemistic labeling that sanitizes misconduct, diffusion of responsibility that spreads blame across a group, dehumanization that strips victims of moral standing, and advantageous comparison that frames one’s own wrongdoing as minor next to others’ transgressions. The researchers found that the relationship between Machiavellian personality and relational deviance was significantly stronger at higher levels of moral disengagement. In other words, a manipulative disposition becomes most dangerous when it is paired with a cognitive apparatus capable of neutralizing guilt.

The second moderator, psychological capital, is where the study takes its most unexpected turn. Psychological capital, or PsyCap, is a positive psychological resource typically composed of four components: self-efficacy, hope, optimism, and resilience. In organizational psychology, PsyCap has been treated almost uniformly as a protective asset — a buffer against stress, a predictor of job performance, and a safeguard against counterproductive work behavior. Interventions to build PsyCap are common in workplace development programs, on the assumption that confident, hopeful, optimistic, resilient employees will behave better. The new findings complicate that assumption considerably.

When moral disengagement was low, the pattern matched the conventional wisdom: high psychological capital attenuated the relationship between Machiavellian personality and relational deviance, rendering it statistically nonsignificant. Under ethical cognitive conditions, psychological resources appear to function as intended — giving employees the internal stability to resist acting on manipulative impulses. But when moral disengagement was high, the picture inverted. The relationship between Machiavellian personality and relational deviance was strongest precisely among employees with high levels of psychological capital. Confidence, hope, optimism, and resilience, in the hands of someone who has cognitively disengaged from moral standards, become fuel rather than restraint.

The authors describe this as a potential dark side of psychological capital, and the framing has real theoretical weight. It suggests that PsyCap is not an unconditionally protective resource but a capacity whose behavioral consequences depend on the moral cognition of the person wielding it. A resilient, optimistic employee who has convinced himself that his rumors are just honest feedback, or that his exclusion of a rival is deserved, now has the psychological stamina to sustain that misconduct over time — to persist where a less resourced colleague might burn out, back down, or succumb to guilt. Psychological capital supplies the energy; moral disengagement removes the brakes. The study thereby extends understanding of the boundary conditions of PsyCap’s behavioral effects, a point the authors emphasize in their conclusion.

Methodologically, the study employed a cross-sectional design, with data collected through an online survey and analyzed using SPSS 27.0. The sample of 576 valid responses drawn from employees across various enterprises and institutions in Shandong Province gives the findings statistical grounding, though the cross-sectional nature means the data capture associations at a single point in time rather than causal trajectories over a career. The authors measured each construct with established scales, and the analysis focused on how the moderating variables reshaped the strength of the core relationship. The procedures were approved by the Ethics Committee of Weifang University of Science and Technology and conducted in accordance with the Declaration of Helsinki, with informed consent obtained from all participants. The work was supported by the 2025 Guangxi Philosophy and Social Sciences Research Project and a talent introduction research startup project at Guangxi Minzu University.

For organizations, the implications are uncomfortable but actionable. Background screening and personality assessment have long been proposed as tools for identifying high-Machiavellian employees, but the study suggests that screening alone is insufficient, because the expression of the trait depends heavily on cognitive and moral context. Workplace cultures that implicitly tolerate moral disengagement — through diffuse accountability, normalized cynicism, or leadership that models rationalization — may be converting otherwise manageable personality risk into active relational sabotage. Conversely, interventions that target moral disengagement directly, by making responsibility concrete, by refusing euphemistic framing of harmful behavior, and by holding individuals visibly answerable for interpersonal harm, may blunt the mechanism through which dark personality traits translate into deviance.

The findings also carry a caution for the booming industry of positive psychology at work. Building resilience, optimism, and confidence in employees is not inherently good or bad; it is an amplifier of whatever moral orientation the employee already holds. In the hands of an ethically engaged worker, psychological capital protects against stress and supports constructive persistence. In the hands of a morally disengaged one, it powers sustained interpersonal predation. The study’s most lasting contribution may be this reframing: psychological resources are not virtues in themselves but capacities, and the ethical architecture of an organization determines whether those capacities build the workplace up or quietly tear it apart from within.

Subject of Research: The relationship between Machiavellian personality, moral disengagement, psychological capital, and relational deviance among corporate employees

Article Title: The association between Machiavellian personality and relational deviance among corporate employees

Article References: Zhang, L., Wang, X., Li, Y., Liu, Y., & Niu, Z. (2026). The association between Machiavellian personality and relational deviance among corporate employees. BMC Psychology. https://doi.org/10.1186/s40359-026-05821-7

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05821-7

Keywords: Machiavellianism, relational deviance, workplace misconduct, moral disengagement, psychological capital, Dark Triad, organizational psychology, BMC Psychology, employee behavior, moral self-regulation, cross-sectional survey, China

The answer, published by Volkan Duran, Abdulhakim Tuğluk and Murat Ali Karavelioğlu, is sobering and instructive in equal measure. Of the five content-analytic dimensions the team tracked across the novel’s 44 chapters, only two met a pre-specified reliability criterion. Emotional valence—the dominant positive or negative tone of each chapter—reached an intraclass correlation coefficient of 0.79, with a 95% confidence interval from 0.64 to 0.88. Empirical reasoning, the concrete sensory and bodily mode of thinking, came in at 0.70, with a wider but still acceptable interval of 0.48 to 0.83. The remaining three dimensions—metaphorical reasoning at 0.50, hypothetical reasoning at 0.42 and analogical reasoning at 0.31—fell below the 0.60 threshold and were formally withdrawn from interpretation.

That act of withdrawal is the study’s most distinctive feature. In much AI-assisted content analysis, dimensions that score poorly on reliability are quietly reported anyway, their numbers presented as if they described the text rather than the quirks of a particular scoring procedure. Here, the authors did the opposite. The values for the three failed dimensions are reported only as properties of the adjudicated dataset—the specific set of scores produced by the AI model and then reviewed and finalized by two human experts. They are explicitly not treated as findings about the novel itself, because no independent reader could reproduce them.

The theoretical motivation for the analysis comes from psychological accounts of how affective state couples to mode of reasoning. Pain, according to this framework, biases processing toward the immediate sensory present: the body’s signals crowd out abstraction, and construal becomes concrete, empirical, anchored in what can be felt. Distance from threat, by contrast, supports abstract, comparative and possibility-oriented thinking—the mind is free to imagine alternatives, construct analogies and entertain hypotheticals. An extended first-person illness narrative, the researchers reasoned, offers a complementary source of description for this coupling: if the theory holds, chapters dominated by negative affect should also be chapters dominated by concrete, sensory and bodily representation.

The methodological design was built to test that idea without contaminating it. Each of the 44 chapters was characterized for dominant emotional valence and for four reasoning modes—metaphorical, analogical, hypothetical and empirical—by an AI-assisted first-pass scoring procedure using a GPT-4-class model. All AI-generated candidate scores were then reviewed, adjudicated and finalized by two human experts, so the final dataset reflected human consensus judgments. But because that adjudicating procedure exposes the human readers to the model’s proposals, it risks a subtle form of anchoring: the experts may unconsciously gravitate toward the machine’s candidates, a phenomenon psychologists call automation bias. To guard against it, the team recruited two further readers who rescored all 44 chapters working independently and blind to both the model’s candidates and the adjudicated values.

The results of that blind replication are the study’s core contribution. The association between the two surviving dimensions replicated: emotional valence and empirical, sensory-bodily content co-varied inversely. In the blind scoring, the Spearman correlation was −0.54, with a Pearson coefficient of −0.49 and a value of −0.57 once corrected for the unreliability of the measures. In the adjudicated dataset, the same association was stronger, at −0.78. The direction and rough magnitude held across both scoring procedures; only the strength differed, which is exactly the pattern one expects when the blind scores are noisier but unbiased. The negative affective baseline of the novel was likewise reproduced by every score set: 32, 39 and 37 of the 44 chapters were scored negative across the three procedures, a striking consensus about a text whose narrator lives under the shadow of amputation.

The fate of the three withdrawn dimensions tells the complementary story. Associations involving metaphorical, hypothetical and analogical reasoning differed substantially across scoring procedures: one changed sign, one increased in magnitude, and one approached zero. In other words, whatever relationship the adjudicated dataset suggested for these dimensions was an artifact of the scoring process, not a stable property of the text. Had the team reported only the adjudicated results, readers would have been presented with findings that independent, blind raters could not reproduce—an outcome that mirrors, in miniature, the replication crisis that has reshaped experimental psychology over the past decade.

The authors are careful about what their one secure finding does and does not mean. The inverse coupling of negative affect and concrete sensory-bodily representation in this text is a replicated descriptive pattern, not a measured psychological association, and no causal or generalizing claim follows from it. A single novel, however canonical, cannot establish how pain shapes cognition in general; it can only show that in this particular narrative, written by an author who himself experienced chronic illness, the two features co-occur chapter by chapter in a way that independent readers agree on. The finding is idiographic—about one text, one narrator, one illness trajectory—and the study’s honesty about that scope is part of its methodological message.

The transparency surrounding the use of AI is equally noteworthy. The authors provide a detailed generative AI disclosure: a GPT-4-class model served strictly as a structured first-pass scoring instrument, Claude was used for language editing of author-drafted English text, for organizational assistance in reordering arguments and improving transitions, and for brainstorming and stress-testing the framing of the discussion. No generative AI tool contributed an original scientific idea, hypothesis, theoretical construct or interpretive conclusion, the authors affirm, and all decisions about content and interpretation rest with them. The blind readers scored the chapters without AI assistance of any kind, and their score files are released unmodified as supplementary material, alongside the analysis scripts and the adjudicated dataset. Pre-editing author drafts are retained and available to the editorial office on request, so the scope of AI editing can be inspected directly against the submitted text.

For a field increasingly tempted to let language models do the reading, the study offers a template rather than a warning shot. The wider contribution, the authors write, is methodological: AI-assisted, human-adjudicated annotation produced a coherent coefficient structure of which only one association survived blind rescoring. Reliability, they argue, should be established before substantive interpretation, not after it. Applied to the growing literature in which machines score texts for sentiment, style, metaphor or argument, the lesson is blunt: a coefficient structure that looks impressive in an adjudicated dataset can dissolve under blind replication, and only the findings that survive both stages deserve the name of result. In this case, what survived is a quiet, humanly verifiable pattern in a century-old Turkish novel—that where the pain is sharpest, the language turns toward the body.

Subject of Research: AI-assisted content analysis and blind replication of emotional valence and reasoning styles in a Turkish illness narrative

Article Title: AI-assisted content analysis of a literary illness narrative: a case study in reliability and replication in Peyami Safa’s Dokuzuncu Hariciye Koğuşu (The Ninth External Ward)

Article References: Duran, V., Tuğluk, A., & Karavelioğlu, M. A. (2026). AI-assisted content analysis of a literary illness narrative: a case study in reliability and replication in Peyami Safa’s Dokuzuncu Hariciye Koğuşu (The Ninth External Ward). BMC Psychology. https://doi.org/10.1186/s40359-026-05773-y

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05773-y

Keywords: AI-assisted content analysis, inter-rater reliability, blind replication, emotional valence, reasoning styles, illness narrative, Peyami Safa, Turkish literature, medical humanities, automation bias, intraclass correlation, BMC Psychology

The problem the researchers set out to solve was one of fit. Existing imagery questionnaires tend to be modality-specific, probing only how vividly people visualise objects or conjure smells in isolation, or they rely on generic prompts that were never designed with eating in mind. Food, however, is an inherently multisensory experience. A single bite of chocolate recruits orthonasal smell as the aroma drifts up from the plate, retronasal smell as volatile compounds travel from the back of the mouth, basic taste qualities such as sweetness and bitterness, the mechanical feel of texture, and the visual appearance of the food itself. A measure that captures only one of these channels risks missing the very individual differences that matter most for eating behaviour research, from craving susceptibility to appetite control.

The project began with a preliminary item-generation study designed to identify foods and drinks with distinct, recognisable sensory characteristics. The goal was to source items that would reliably evoke each sensory channel, so that a participant rating their mental image of brewed coffee, for example, would be engaging the olfactory system rather than guessing at a vague, undifferentiated food memory. The final scale asks respondents to imagine 25 items across five domains: smell, flavour, taste, texture and appearance. Each item is rated from zero, meaning no image at all, to ten, meaning an image as clear and vivid as real life. The published version includes prompts such as imagining the smell of freshly baked bread and cinnamon rolls, the flavour of parmesan cheese and dark chocolate, the bitterness of coffee, the sourness of a lemon, ice cream melting in the mouth, and the look of a red apple or a scoop of ice cream.

With the item pool in hand, the team subjected the scale to a four-experiment validation programme involving well over a thousand participants in total. Experiment 1, with 354 participants, used exploratory factor analysis and parallel analysis, two statistical techniques for uncovering the latent structure underlying a set of questionnaire items, to refine the pool and examine internal consistency. The results supported a correlated five-factor solution, meaning the data were best explained by five related but separable dimensions corresponding to the five sensory channels. The fit statistics were strong: a root mean square residual of 0.023, a root mean square error of approximation of 0.065, and a comparative fit index of 0.962, alongside high internal consistency, indicating that items within each factor measured the same underlying trait coherently.

Reliability over time is just as important as internal structure, and here the team turned to Experiment 2. Eighty-three participants completed the scale twice, three to four weeks apart, allowing the researchers to compute a test–retest reliability coefficient. The total score achieved an intraclass correlation of 0.75, with a 95 percent confidence interval ranging from 0.62 to 0.82. In practical terms, this means a person’s standing on the scale is reasonably stable over a month, which is precisely what one would expect if the instrument is measuring a genuine trait, a stable disposition of the mind, rather than a fleeting mood or situational appetite. For a tool intended to characterise individual differences in eating-related cognition, that temporal stability is a foundational credential.

Experiment 3 then put the five-factor structure to a stricter test. Using a new sample of 393 participants, the researchers applied confirmatory factor analysis, a method that tests a predefined structure rather than letting one emerge from the data, and examined correlations with established questionnaires of visual and olfactory imagery vividness. The five-factor structure replicated cleanly, with a chi-squared statistic of 503.15 on 265 degrees of freedom, comparative and Tucker–Lewis fit indices both at 0.998, RMSEA of 0.048 and a standardised root mean square residual of 0.040. The convergent validity results were particularly elegant. The appearance factor correlated most strongly with visual imagery vividness, at a Spearman coefficient of 0.47, while the smell factor correlated most strongly with olfactory imagery vividness, at 0.51, both highly statistically significant. In other words, the food-specific channels behave as they should: they align with their general-domain counterparts without collapsing into them, suggesting the FIS captures something genuinely food-tuned.

The final and arguably most consequential experiment addressed the question that motivated the whole project: does food imagery vividness relate to actual eating-related tendencies? Experiment 4 recruited 781 participants and examined criterion-related associations with trait food craving, the dispositional tendency to experience intense desires for specific foods. After adjusting for covariates, the researchers found small but reliable positive associations for two of the sensory channels. Smell imagery vividness correlated with trait food craving at r = 0.110, significant at p = 0.002, and flavour imagery showed an association of r = 0.080, significant at p = 0.026. The effect sizes are modest, as is typical for single-trait predictors of complex behaviour, but their pattern is telling: the chemosensory channels, smell and flavour, the ones most intimately tied to the reward and pleasure of eating, are the ones that link to craving.

That pattern has intriguing implications. Flavour, as the scale clarifies for respondents, refers to the combined in-mouth experience arising primarily from taste and retronasal smell, distinct from the basic taste qualities of sweetness, sourness, saltiness, bitterness and umami. If people who more vividly imagine smells and flavours also report stronger trait cravings, vivid multisensory imagery may act as a kind of mental rehearsal of eating, priming desire before any food is present. This connects to a broader literature in which imagery is understood to function as a weak form of perception, recruiting overlapping neural machinery. It also opens practical questions for interventions: if imagery vividness shapes craving, techniques that modulate imagery, from vividness training to competing-task strategies that load the sensory systems and blunt craving episodes, could be tailored according to an individual’s FIS profile.

The authors are careful about the boundaries of what they have established. They note that future work should establish the scale’s incremental predictive validity, that is, whether it predicts eating outcomes better than general imagery measures already exist, and should test its cross-cultural generalisability, since foods like miso soup, soy sauce and roast dinners carry very different familiarity across populations, and food familiarity is known to shape both imagery and craving. The project was funded by a grant from the Royal Society of New Zealand through the Marsden Fund, with the design, conduct, analyses and interpretation conducted independently of the sponsor, and the work received ethics approval from the University of Otago Human Ethics Committee.

Even with those caveats, the arrival of a reliable, food-specific, multisensory imagery measure is a notable addition to the psychologist’s toolkit. For decades, eating behaviour research has had to borrow instruments built for other purposes, averaging across senses that food never treats separately. The FIS treats the imagined meal as what it actually is, a symphony of smell, flavour, taste, texture and sight, and offers researchers a way to ask not just whether a person thinks vividly, but whether their culinary imagination in particular runs hot. Given the scale’s documented psychometric credentials across four experiments and more than 1,600 participants, and its open-access availability, it seems likely to find its way into studies of craving, dietary choice, appetite and sensory science for years to come.

Subject of Research: Development and validation of a self-report scale measuring trait vividness of multisensory food imagery for eating behaviour research

Article Title: Developing and validating the Food Imagery Scale: a trait measure of multisensory food imagery for eating behaviour research

Article References: Peng, M., McCormack, J., Golo, S., Hames, M., Roberts, R., & Spence, C. (2026). Developing and validating the Food Imagery Scale: a trait measure of multisensory food imagery for eating behaviour research. BMC Psychology. https://doi.org/10.1186/s40359-026-05526-x

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05526-x

Keywords: mental imagery, food imagery, eating behaviour, food craving, psychometrics, sensory perception, flavour, olfaction, questionnaire validation, BMC Psychology, Developing, validating

Temporal leadership is a relatively recent concept in organizational psychology. It refers to the behaviors leaders use to help teams manage deadlines, pace work appropriately, and develop a common understanding of when tasks must be completed. In fast-moving operational environments such as logistics, where warehousing, transportation scheduling, and order fulfillment must align with precision, the temporal dimension of teamwork is not merely background context—it is the very fabric of coordination. Yet until now, the psychological pathways through which temporal leadership translates into measurable performance gains have remained poorly mapped.

Wang’s study draws on the input–mediator–outcome–input framework, a well-established model in team research that treats team functioning as a dynamic cycle. Inputs such as leadership behaviors feed into mediators such as shared mental models and learning processes, which in turn produce outcomes like performance, and those outcomes feed back into the system. Applying this logic to logistics teams, the researcher hypothesized that temporal leadership would improve team performance both directly and indirectly—first by fostering shared temporal cognition, the degree to which team members hold a common understanding of deadlines, pacing, and time-related priorities, and second by encouraging team learning behavior, the collective activities through which teams reflect, experiment, and improve.

To test these ideas rigorously, Wang collected data from 538 logistics practitioners in China using a four-wave, time-lagged survey design. Rather than measuring everything at a single point in time—a approach that invites common-method bias and makes it impossible to establish temporal ordering—the study spread measurement across four separate waves. Perceived temporal leadership was assessed first, followed at later intervals by shared temporal cognition, team learning behavior, and finally team performance. This design allowed the researcher to examine whether the proposed psychological mechanisms unfolded in the theoretically expected sequence, lending greater credibility to the observed associations than a cross-sectional snapshot could provide.

The analytical strategy combined confirmatory factor analysis and structural equation modeling. Confirmatory factor analysis verified that the survey instruments measured distinct constructs—temporal leadership, shared temporal cognition, team learning behavior, task interdependence, and team performance—rather than a single undifferentiated factor. Structural equation modeling then tested the hypothesized pathways simultaneously. The results were striking: temporal leadership was positively associated with team performance, and significant indirect associations emerged through both shared temporal cognition and team learning behavior, operating independently and also sequentially. In other words, leaders who manage time well appear to build teams that think about time in unison, and those teams that share temporal understanding go on to learn more effectively and perform better.

The sequential pathway deserves particular attention. The findings indicate that higher perceived temporal leadership was associated with higher shared temporal cognition, which was subsequently associated with higher levels of perceived team learning behavior and, in turn, perceived team performance. This suggests a temporally ordered mechanism: when leaders articulate deadlines, coordinate pacing, and model effective time management, team members converge on a common temporal mental model. That convergence then creates fertile ground for learning—teams that agree on when things must happen are better positioned to reflect on what went well and what needs adjustment, and that reflective capacity feeds directly into performance.

But the study also uncovered an important boundary condition. Task interdependence—the degree to which team members rely on one another to complete their work—moderated the association between temporal leadership and team performance. The positive association was stronger at average and high levels of task interdependence but was not significant at low levels. This makes intuitive sense: when team members work largely independently, a leader’s temporal coordination behaviors have little to synchronize. But when workflows are tightly coupled—when one person’s delay ripples into another’s schedule—shared temporal structure becomes critical, and leaders who provide it deliver measurable value. For logistics operations, where tasks are inherently interdependent across warehousing, dispatch, and delivery, this finding suggests that temporal leadership is not a generic leadership style but a contextually targeted capability.

The practical implications for logistics managers are considerable. The results suggest that organizations seeking to improve team performance should invest in developing leaders’ temporal competencies: setting clear deadlines, communicating pacing expectations, buffering teams from unnecessary time pressure, and helping members align on temporal priorities. Because the effects flow through shared temporal cognition and team learning behavior, interventions that build these mediators—such as temporal alignment briefings, deadline calibration exercises, and structured reflection sessions—may amplify the benefits of temporal leadership. The moderation finding adds a diagnostic dimension: managers in highly interdependent settings have the most to gain from temporal leadership development, while those supervising largely independent work may see weaker returns.

Wang is careful to note the limits of the evidence. Although the four-wave design establishes temporal ordering among the measured variables, the study is observational and does not establish causal relationships. The associations are consistent with the proposed mechanism, but experimental or quasi-experimental designs would be needed to confirm that temporal leadership causes improvements in shared temporal cognition, learning behavior, and performance. Perceived measures were used for several constructs, and the logistics context in China may limit generalizability to other industries or cultures. Nevertheless, the theoretical contribution is clear: the study maps a specific, temporally ordered pathway from leadership behavior to team outcomes, grounded in a rigorous multi-wave design.

As logistics operations worldwide face mounting pressure from e-commerce growth, supply chain volatility, and customer expectations for rapid fulfillment, understanding the psychological architecture of high-performing teams has never been more urgent. This research offers a compelling starting point: the leaders who master time—helping their teams share a common temporal map and learn from every cycle—may hold a distinct advantage in the race to deliver. The study, published open access in BMC Psychology, was approved by the Ethics Committee of the School of Logistics at Linyi University and conducted in accordance with the Declaration of Helsinki, with all participants providing informed consent.

Subject of Research: Temporal leadership and team performance in logistics operations

Article Title: Temporal leadership and team performance in Chinese logistics operations: The roles of shared temporal cognition, team learning behavior, and task interdependence

Article References: Wang, T. (2026). Temporal leadership and team performance in Chinese logistics operations: The roles of shared temporal cognition, team learning behavior, and task interdependence. BMC Psychology. https://doi.org/10.1186/s40359-026-05601-3

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05601-3

Keywords: temporal leadership, shared temporal cognition, team learning behavior, task interdependence, team performance, logistics operations, organizational psychology, structural equation modeling, BMC Psychology, Chinese logistics, Temporal, leadership

The study is anchored in the I³ model, a prominent theoretical account in social psychology that treats aggression as the product of three interacting ingredients. The first is instigation, an environmental trigger such as a provocation or a social slight. The second is impellance, an internal push toward aggression, which can be dispositional, situational or physiological and includes emotional states like anger and negative affect. The third is inhibition, the capacity of executive control to hold aggressive impulses in check. By measuring all three components in a single research program, the authors were able to ask a question that has rarely been answered with this level of precision: when pain makes people more aggressive, which of these three ingredients is doing the work?

To find out, the team ran four experiments that combined two validated laboratory measures of aggression with manipulations of pain, emotion and social context. The first behavioral tool was the Voodoo Doll Task, in which participants see an avatar representing another person and choose how many pins to stick into it, a symbolic index of aggressive intent that has been widely used in recent aggression research. The second was the Social Network Aggression Task, in which participants write messages in response to hypothetical social scenarios and the number of aggressive words used provides a more ecologically grounded measure of hostile expression. Acute pain was induced in the laboratory, and emotional states were tracked with established self-report instruments, including the Positive and Negative Affect Schedule and visual analogue scales.

The first experiment delivered the central result. Under the conditions tested, acute pain was associated with higher levels of aggressive responses on the Voodoo Doll Task and, crucially, with intensified negative emotions. This pairing is exactly what the impellance component of the I³ model predicts: pain did not simply flip a switch toward violence, but instead raised the internal emotional pressure that makes aggression more likely when a target or trigger is available. In other words, pain appeared to function as a situational impeller, loading the system with negative affect that then spilled over into symbolic aggression toward the avatar.

The second experiment then tested the inhibition side of the equation. If pain-induced aggression arises because pain degrades self-control, then pain should also impair performance on tasks that measure executive control, such as the Stroop task and the Multi-Source Interference Task, both of which index the ability to suppress dominant but incorrect responses. The researchers examined reaction-time based measures of interference and inhibition. Here the results were notably different: the data did not provide clear evidence that pain changed these reaction-time indices of cognitive control under the experimental conditions used. This null result is theoretically meaningful, because it weakens the alternative account in which pain makes people aggressive by hollowing out their inhibitory machinery.

Experiment 3 moved from observation to intervention by asking whether emotional processes could be shifted and, if so, whether aggression would follow. When participants’ positive emotions were enhanced, their aggressive responses on the Voodoo Doll Task under pain were reduced. This is one of the most striking aspects of the research program, because it suggests that the emotional pathway is not merely correlated with pain-induced aggression but is functionally involved in producing it. Boosting positive affect appears to counteract the impellance generated by pain, offering a potential psychological lever for reducing the hostile fallout of physical suffering. The finding also fits a broader literature in which positive emotions broaden thought and dampen the grip of negative states, but here that general principle is tied directly to a measurable aggressive outcome.

The fourth experiment added the missing ingredient: the social situation. Participants were placed under conditions of social evaluation, in which their performance or worth could be judged by others, a classic instigating trigger. Under these social-evaluation conditions, pain was again associated with increased negative emotional responses, and, importantly, social evaluation interacted with those emotional responses in shaping aggression on the Social Network Aggression Task. The implication is that pain does not act in a vacuum. It raises the emotional pressure, but the social context determines how that pressure is channeled. A hurt individual who is simultaneously provoked or evaluated negatively has both the internal push and the external trigger, and the combination produced more aggressive expression than either element alone would suggest.

Taken together, the four experiments sketch a coherent picture. Across the program, pain-related aggressive responses were more consistently associated with impellance, the emotional push, than with inhibition, while instigation shaped how those responses were expressed. This asymmetry is important for how scientists think about the psychology of pain. It suggests that a person in pain who lashes out is not necessarily suffering from failed self-control, a framing that carries moral weight in everyday judgments about aggressive behavior. Instead, the behavior may reflect an emotion-driven amplification that any nervous system could produce, with situational provocation supplying the spark. That reframing aligns the study with mechanistic models in which affective states modulate the threshold for aggressive responses, rather than with deficit models centered on executive failure.

The study also demonstrates methodological strengths worth noting. The researchers analyzed their data with linear mixed-effects models, a statistical approach well suited to the repeated-measures, trial-by-trial structure of laboratory aggression tasks, and they report model comparison using the Akaike information criterion. Participants’ trait aggression was assessed with the Buss-Perry Aggression Questionnaire, allowing the authors to account for stable individual differences in hostile disposition. The work was approved by the Ethics Committee of East China Normal University and conducted in accordance with the Declaration of Helsinki, with written informed consent from all participants. The research was supported by the National Natural Science Foundation of China and the Fundamental Research Funds for the Central Universities, with the funders having no role in study design or analysis.

Like all laboratory research, the findings come with boundaries the authors themselves acknowledge. The aggression measured here is symbolic, expressed toward avatars or in written messages rather than through physical harm, and the pain was acute and experimentally induced rather than the chronic, often neuropathic pain that shapes the lives of many patients. The reaction-time indices of cognitive control showed no clear pain-related change under the specific conditions tested, which may reflect the sensitivity of those measures or the intensity of the manipulation rather than a definitive absence of any inhibitory effect. Still, the convergence across four experiments, two aggression paradigms and three components of a leading theoretical model gives the central claim considerable weight. If future work confirms that strengthening positive affect reliably blunts pain-driven hostility, the results could inform interventions for populations in which pain and interpersonal conflict collide, from chronic pain patients navigating family life to clinical settings where irritability and pain frequently co-occur. For now, the study offers a clear and consequential message: the road from hurting to lashing out runs through emotion, and the social world decides where that road leads.

Subject of Research: The emotional and cognitive mechanisms linking acute pain to aggressive behavior in social contexts

Article Title: The role of emotional pathways in pain-induced aggression in social and cognitive contexts

Article References: Wang, C., Gao, J., Liu, Z., Zhang, M., & Dong, X.-W. (2026). The role of emotional pathways in pain-induced aggression in social and cognitive contexts. BMC Psychology. https://doi.org/10.1186/s40359-026-05581-4

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05581-4

Keywords: pain, aggression, emotion, I³ model, Voodoo Doll Task, Social Network Aggression Task, cognitive control, inhibition, social evaluation, negative affect, BMC Psychology, behavioral neuroscience

The research, led by Kayla R. Steele and Jill M. Newby, examined fifty-nine adults whose primary diagnosis was social anxiety disorder. All of them completed an intensive form of internet-delivered cognitive behavioural therapy, or iCBT — a treatment format that condenses the principles of face-to-face CBT into a structured online program delivered over a shorter, more concentrated period rather than spread across many weeks. Intensive iCBT has become an increasingly important tool in mental health systems trying to close the gap between demand and available therapists, and trials of this format have generally shown that rapid symptom improvement is achievable without a clinician in the room. The Sydney team wanted to know whether a patient’s personality profile would influence not only how sick they were at the start, but how much they improved.

To answer that, the researchers turned to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and specifically its Alternative Model for Personality Disorders, known as the AMPD. Rather than asking whether a patient meets a rigid checklist for a personality disorder, the AMPD describes personality pathology along two axes. The first is level of personality functioning, which captures how well a person maintains a coherent sense of self, regulates emotions and pursues meaningful goals, and how effectively they form intimate relationships, empathise with others and navigate social groups. The second is a set of maladaptive trait domains — negative affectivity, detachment, antagonism, disinhibition and psychoticism — that represent extreme, inflexible and harmful versions of normal personality dimensions. Standard questionnaires exist for both axes: the LPFS-BF for functioning and the PID-5-BF for traits, and both were administered at the start of treatment and again at its end.

Alongside these personality measures, participants completed well-validated scales for social anxiety — the Social Interaction Anxiety Scale and the Social Phobia Scale — as well as the Patient Health Questionnaire for depressive symptoms and the Work and Social Adjustment Scale for psychosocial impairment. Diagnostic interviews using the Anxiety and Disorders Interview Schedule for DSM-5 established the presence of social anxiety disorder and any comorbid major depressive disorder. This dual assessment structure meant the researchers could map the full landscape of personality pathology onto the symptom burden of each patient, and then track how that landscape changed as the therapy did its work.

The baseline findings were nuanced. On average, the group showed only mild impairments in personality functioning, and their maladaptive trait scores were largely in the non-clinical range — a striking result given that social anxiety disorder has historically been tightly linked with personality disorder diagnoses. However, the picture darkened considerably for participants who also carried a diagnosis of major depressive disorder. Comorbidity with depression was associated with greater impairment in personality functioning, echoing a large body of literature showing that depression tends to erode self-esteem, self-direction and interpersonal trust in ways that overlap with personality pathology.

Crucially, even within a sample that was not, on the whole, severely personality-disordered, the dimensional measures mattered. Greater impairment in personality functioning — particularly in the self-domain, which covers identity, self-worth and emotional regulation — was associated with more severe social anxiety symptoms. So too were higher levels of maladaptive traits, including negative affectivity, the tendency to experience frequent and intense negative emotions; disinhibition, reflecting impulsivity and difficulty with planning and restraint; and even psychoticism, the trait domain covering unusual thoughts and perceptual experiences. That such a broad sweep of trait pathology correlated with social anxiety severity suggests that the disorder does not simply ride on shyness or avoidance, but is embedded in a wider matrix of personality vulnerability that clinicians rarely measure in routine anxiety care.

The treatment findings, however, complicate the intuitive story that sicker personalities should mean poorer recovery. After the researchers statistically controlled for baseline symptom severity, personality pathology — both impaired functioning and maladaptive traits — no longer significantly predicted post-treatment levels of social anxiety, depressive symptoms or psychosocial impairment. In other words, once you know how severe a patient’s symptoms were before therapy, knowing their personality profile adds little independent information about how they will fare in the short term. This is an important message for an era in which personality pathology is sometimes treated as a contraindication for streamlined psychological treatments. The data here suggest that patients with social anxiety and mild-to-moderate personality difficulties should not be excluded from intensive iCBT on the assumption that their personalities will block progress.

Perhaps the most provocative result concerned change in the personality measures themselves. After the intensive program, participants showed significant reductions in both personality functioning impairment and maladaptive trait severity. Symptoms and personality moved together — which raises a deep theoretical question about causality and stability. The authors are appropriately cautious here, noting that these reductions may not be indicative of enduring personality change. Traits are conventionally understood as stable dispositions, and short-term improvements measured by questionnaires may simply reflect the lifting of anxious and depressive states that had temporarily inflated pathological responding. Distinguishing genuine trait change from state-dependent fluctuation would require longer follow-up, and this study did not establish that.

For the AMPD’s champions, the findings still count as a validation of sorts. The study demonstrated that the model’s dimensional components are clinically relevant in social anxiety disorder: they discriminate between more and less severe presentations, they flag comorbid depression, and they shift in parallel with treatment response. That a personality framework built for the personality disorders section of the DSM can illuminate a common anxiety condition supports the broader argument that personality pathology is better understood as a continuum woven through all mental disorders rather than a separate diagnostic silo. It also gives clinicians a practical vocabulary — self-functioning, negative affectivity, disinhibition — for describing the patients who struggle most, even when those patients fall short of a personality disorder diagnosis.

The study’s limitations are worth keeping in view. Fifty-nine participants is a modest sample, the trial was registered with the Australian New Zealand Clinical Trials Registry in March 2022, and the analysis lacked the long-term follow-up needed to say anything about durability. The authors themselves frame the results as preliminary. Yet the implications are concrete: personality assessment could help identify social anxiety patients who present with heavier symptom burdens, while reassuring clinicians that such pathology need not derail short-term digital treatment. As iCBT programs scale up worldwide, this kind of research helps answer the question that matters most in practice — not just who has the disorder, but who will get better, and why.

Subject of Research: Dimensional personality functioning and maladaptive traits in social anxiety disorder and their association with symptom severity and treatment response to intensive iCBT

Article Title: Personality functioning and maladaptive traits in social anxiety disorder: associations with symptom severity and change following intensive iCBT

Article References: Steele, K. R., & Newby, J. M. (2026). Personality functioning and maladaptive traits in social anxiety disorder: associations with symptom severity and change following intensive iCBT. BMC Psychology. https://doi.org/10.1186/s40359-026-05515-0

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05515-0

Keywords: social anxiety disorder, personality functioning, maladaptive traits, AMPD, iCBT, DSM-5, cognitive behavioural therapy, negative affectivity, disinhibition, comorbid depression, digital mental health, BMC Psychology

The research, led by Jing Wu of Hubei University of Science and Technology together with colleagues from institutions in China and Indonesia, surveyed 371 teachers working in AI-supported teaching contexts. Drawing on Conservation of Resources theory, a well-established framework in occupational psychology, the team tested whether a teacher’s belief in their own creativity, known as creative self-efficacy, translates into visible innovative teaching behaviour through a chain of psychological and organizational mediators. The answer, according to their statistical analysis, is yes, and the chain matters as much as the starting point.

Creative self-efficacy is a concept rooted in Albert Bandura’s social cognitive theory. It describes not merely whether a person is creative, but whether they believe they can produce creative outcomes under real-world conditions. In a classroom increasingly mediated by intelligent tutoring systems, generative AI tools, and adaptive learning platforms, that belief becomes a kind of psychological fuel. Teachers who see themselves as capable of creative work are more willing to treat AI as a collaborator rather than a threat, to prototype new lesson designs, and to persist when a promising idea fails in front of thirty students.

But belief alone does not become behaviour. To trace the pathway, the researchers administered validated instruments including the Creative Self-Efficacy Scale, the Teachers’ Innovation Behaviour Scale, the Resilience Scale, the Job Autonomy Scale, and the Perceived Organizational Support Scale. Their structural analysis revealed a statistically significant serial mediation model: creative self-efficacy first strengthens teacher resilience, resilience then enhances the sense of job autonomy, and autonomy in turn amplifies perceived organizational support, which finally feeds into innovative teaching behaviour. Each link in the chain carries part of the total effect forward.

The numbers behind the model are revealing. Of the total effect of creative self-efficacy on innovative behaviour, which the study quantified at 0.74, the direct effect accounted for 60.49 percent, while the indirect effects flowing through the mediation chain accounted for the remaining 39.51 percent. Among seven possible indirect pathways tested, the route beginning with teacher resilience proved the strongest, exerting relatively larger effects than either job autonomy or perceived organizational support. In practical terms, a teacher’s inner capacity to absorb setbacks and recover from stress does more heavy lifting than any external condition the researchers measured.

This finding challenges a common assumption in educational technology policy, which tends to focus on providing schools with hardware, software licenses, and training hours. Those resources matter, but the study suggests they operate downstream of something more fundamental. Conservation of Resources theory holds that people strive to acquire, retain, and protect valued resources, and that those who possess a rich resource pool are better positioned to gain more, while those depleted of resources become vulnerable to further loss. Resilience functions as a psychological resource reservoir: teachers high in resilience interpret AI-driven disruption as a challenge to be mastered rather than a threat to be survived, and that interpretation cascades into greater autonomy and stronger perceptions of institutional support.

The serial structure of the mediation is also significant. Rather than treating resilience, autonomy, and support as parallel, independent predictors, the model shows them operating in sequence, each one building on the last. A resilient teacher feels more free to make pedagogical decisions without fear of failure. That felt autonomy makes the same teacher more likely to perceive the organization, whether a school, a district, or a ministry, as genuinely supportive. And that perception of support, in turn, gives the teacher the confidence to invest effort in unproven, AI-infused teaching methods. Innovation, in this picture, is not a single decision but a psychological relay race.

The study’s cross-sectional design, in which all measures were collected at a single point in time, means the researchers cannot definitively establish causal direction, and the authors acknowledge that longitudinal and experimental follow-ups are needed. The sample, drawn from teachers already working in AI-supported contexts, may also overrepresent educators who have adapted successfully to technological change. Still, the consistency of the serial mediation model across a substantial sample, and its grounding in a mature theoretical framework, give the findings considerable weight for anyone designing professional development programs for the AI era.

The practical implications are concrete. If resilience is the strongest lever, then teacher training should not stop at technical workshops on prompt engineering or learning analytics. It should deliberately build psychological resources: stress inoculation, reflective practice, peer mentoring, and structured opportunities to fail safely with new tools before deploying them with students. School leaders, meanwhile, should recognize that autonomy and perceived support are not soft perks but measurable components of the innovation pipeline, and that policies which micromanage AI adoption may inadvertently sever the very chain that makes creative teaching possible.

Perhaps the deepest message of the research is that the human element of AI in education cannot be automated away. As intelligent systems take over routine tasks of content delivery and grading, what remains distinctly human is precisely the capacity the study highlights: the self-belief, resilience, autonomy, and felt support that allow a teacher to do something genuinely new. Bridging psychological theory with technology-supported pedagogy, the authors argue, is essential if AI-mediated teaching environments are to produce not just efficient instruction but real educational innovation. The machines may supply the tools, but the study suggests it is the teacher’s inner architecture that decides whether those tools change anything at all.

Subject of Research: Psychological and organizational factors linking teacher creative self-efficacy to innovative teaching behaviour in AI-supported education

Article Title: Creative self-efficacy and innovative teaching behaviour in AI-supported teaching contexts: the serial mediating roles of teacher resilience, job autonomy, and perceived organizational support

Article References: Wu, J., Zhou, J., Chen, Y., Ye, H., linling, Z., Feng, C., & Eko Setyarini, M. C. (2026). Creative self-efficacy and innovative teaching behaviour in AI-supported teaching contexts: the serial mediating roles of teacher resilience, job autonomy, and perceived organizational support. BMC Psychology. https://doi.org/10.1186/s40359-026-05540-z

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05540-z

Keywords: creative self-efficacy, innovative teaching behaviour, teacher resilience, job autonomy, perceived organizational support, artificial intelligence in education, Conservation of Resources theory, serial mediation, teacher psychology, educational innovation, BMC Psychology, AI-supported teaching

The UP-A is built on a deceptively simple premise: anxiety and depressive disorders share common underlying mechanisms, most notably difficulties in regulating intense emotions and a tendency to avoid or escape uncomfortable emotional experiences. Rather than teaching teenagers separate skills for panic, social anxiety, generalized worry, or depression, the protocol trains them to notice, tolerate, and respond flexibly to whatever emotion they are feeling. Its theoretical foundation draws on emotion science and cognitive-behavioral principles, emphasizing that emotional disorders persist when people fight their feelings rather than working with them. In adolescents, whose emotional systems are still developing and whose symptoms frequently shift between diagnostic categories over time, this transdiagnostic logic has particular appeal.

The Spanish research team, led by Lucía Cortés and Julia García-Escalera of the National University of Distance Education (UNED) together with clinicians from Majadahonda’s Mental Health Center in Madrid, set out to answer a practical question: could this protocol, which had shown promise in individual sessions, work in a group format inside a public mental health service? Group delivery matters enormously for cash-strapped public systems. One therapist can treat several adolescents simultaneously, waiting lists shrink, and the group itself becomes a therapeutic tool, allowing teenagers to see that peers share their struggles and to practice new emotional skills in front of an audience that understands.

The study enrolled thirty-one adolescents with a mean age of 14.03 years, 87.1 percent of whom were female, in a sixteen-session group intervention. The design included three additional group sessions for parents, reflecting growing evidence that treating an adolescent in isolation ignores the family system in which emotional problems unfold. Parents learned the same core ideas about emotions and avoidance, so they could respond to their child’s distress in ways that supported rather than undermined the skills being practiced in therapy. The intervention was delivered by clinicians within the center itself, not by researchers in a laboratory setting, which is precisely what makes the preliminary evaluation notable: it tested feasibility under the messy, realistic conditions of routine public care.

The results were encouraging on every dimension the team measured. Just over eighty percent of participants, 80.65 percent, completed the full treatment, a completion rate that compares favorably with many adolescent interventions, where dropout is a persistent challenge. Adolescents and parents alike reported high satisfaction with the program and strong therapeutic alliance, the sense of trust and collaboration between client and therapist that research consistently links to better outcomes. In a group format, alliance extends beyond the therapist to the group as a whole, and the strong ratings suggest the teenagers felt connected to both their clinicians and their peers.

The clinical findings were equally significant. Adolescents themselves reported meaningful improvements in emotional symptoms and in the emotion regulation strategies the protocol is designed to strengthen. Parents observed reductions in their children’s depressive symptoms. Independent clinician ratings, which provide a check on the self-report and parent-report data, indicated reduced diagnostic severity and improved day-to-day functioning. In other words, the teenagers were not just feeling better on questionnaires; the clinicians who assessed them saw the intensity of their diagnoses ease and their ability to handle school, family, and social life improve.

Technically, the study is a preliminary, uncontrolled evaluation rather than a randomized trial, and the authors are careful about what that means. Without a comparison group, improvements cannot be attributed with certainty to the treatment itself; some change might reflect natural remission, regression to the mean, or the simple passage of time. The predominantly female sample also limits how far the findings generalize to boys. The study was retrospectively registered on ClinicalTrials.gov, and the team explicitly calls for randomized controlled studies to confirm the results. Yet the pattern of change across three independent sources of information, adolescent self-report, parent report, and clinician rating, is the kind of convergent evidence that preliminary evaluations are designed to detect, and it justifies the investment that a full randomized trial would require.

The broader significance of the work lies in its setting. Public mental health systems across Europe and beyond face rising demand for adolescent care, chronic underfunding, and long waiting lists, while most evidence-based treatments were developed and tested in university clinics with carefully selected samples. Demonstrating that a transdiagnostic protocol can be adapted to groups and delivered by regular clinicians in a Spanish public center addresses the critical gap between research and practice. If the findings hold up in randomized trials, the group UP-A could offer public services a way to treat a wide range of emotional disorders with a single, efficient, evidence-based program, rather than maintaining separate treatment pathways for each diagnosis.

There is also a scientific story here about how the field understands adolescent emotional disorders. Symptoms of anxiety and depression co-occur so frequently in adolescence that many researchers now view them as expressions of a shared vulnerability in emotional processing rather than as distinct illnesses. The UP-A operationalizes that view, targeting the mechanisms, emotional avoidance and dysregulation, that keep disorders alive regardless of their surface presentation. A group format adds a social dimension to this mechanism-focused approach: teenagers practice accepting and tolerating difficult emotions in front of peers who are doing the same work, which may itself counteract the shame and isolation that fuel avoidance.

The Spanish team’s next steps will determine whether this promising start becomes a standard tool of public adolescent mental health care. Randomized controlled trials with comparison groups, larger and more diverse samples, and longer follow-up periods are needed to establish whether the improvements persist and whether the group format matches the effectiveness of individual delivery. For now, the study stands as a concrete demonstration that a mechanism-based, transdiagnostic therapy can survive the journey from the research manual to the group room of a public mental health center, and that the adolescents who walked into that room, most of them struggling with the tangled combination of anxiety and depression that defines modern adolescence, left it measurably better equipped to face their emotions rather than flee from them.

Subject of Research: Psychology

Article Title: Development and preliminary evaluation of a group adaptation of the unified protocol for transdiagnostic treatment of emotional disorders in adolescents (UP-A) in a Spanish public mental health center

Article References: Cortés, L., García-Escalera, J., Casanova, I., Segura, A., Valiente, R. M., & Chorot, P. (2026). Development and preliminary evaluation of a group adaptation of the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders in adolescents (UP-A) in a Spanish public mental health center. BMC Psychology, 14(1), Article 1456. https://doi.org/10.1186/s40359-026-05472-8

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05472-8

Keywords: UP-A, transdiagnostic treatment, adolescent mental health, group therapy, anxiety, depression, emotion regulation, public mental health, BMC Psychology, Unified Protocol, Development, preliminary