The translation followed a multistage procedure recommended by the International Test Commission and required by the instrument’s publisher. Two Brazilian psychologists independently translated all items and reconciled differences through discussion, producing a third translation that was compared with a version prepared by a professional linguistic-services company. Reviewing these alternatives led to minor changes in 14 items where small wording differences could alter interpretation. Examples included the English word “smashing,” for which “quebrar” and “esmagar” carry different implications of intensity in Brazilian Portuguese, and an item referring to legal issues, which was adjusted for differences in how minor infractions may be perceived in Brazil. The revised form was examined by a psychiatrist and another psychologist, back-translated into English, and reviewed by the University of Minnesota language team. Bilingual participants then evaluated item wording, instructions, and possible refinements before the final Portuguese version was used in the larger community study.

The bilingual comparison included 18 men and 18 women aged 21 to 56 who were native Portuguese speakers, had lived in the United States for at least six months, and demonstrated C2-level English proficiency. Each participant completed the English and Brazilian Portuguese forms two weeks apart, with administration order counterbalanced within sex. Correlations for the higher-order scales ranged from 0.81 for Emotional/Internalizing Dysfunction, EID, to 0.92 for Behavioral Dysfunction, BXD. Restructured Clinical scale correlations ranged from 0.69 for RC1 to 0.91 for RC4 and RC7. The revised PSY-5 scales ranged from 0.81 for Aggressiveness, AGGR-r, to 1.00 for INTR-r. These coefficients represent both similarity between language versions and stability over the two-week interval, meaning they do not isolate translation differences from ordinary variation over time. The investigators therefore described the results as cross-language score correspondence rather than a formal test of measurement equivalence.

The community sample initially included 910 Brazilian adults aged 18 to 75 with at least six years of formal education. After 146 protocols, or 16.0% of the initial group, were excluded under MMPI-2-RF invalidity criteria, the final sample comprised 764 adults: 382 men and 382 women, with a mean age of 33.16 years. Most participants came from Brazil’s Southeast region, and the group was predominantly single, White, relatively highly educated and middle-income. The study was intentionally not designed to represent people with severe psychiatric disorders. Recruitment excluded people diagnosed with schizophrenia, psychotic depression in an acute crisis, people with psychiatric hospitalizations, and those with suicide attempts in the previous six months. Accordingly, the results cannot be extended to those populations, including people with psychotic-spectrum conditions whose symptom variability was deliberately limited.

Internal consistency, assessed with Cronbach’s alpha, was uneven across the inventory. The highest alpha among substantive scales was 0.90 for RCd, followed by 0.87 for EID, while several short problem-specific scales were less internally consistent. HLP had an alpha of 0.38, DSF, Distress/Shortness of Breath, had 0.44 and SFD, Somatic Dysfunction, had 0.76. The revised PSY-5 scales clustered between 0.64 for AGGR-r and DISC-r, Disorganization, and 0.74 for NEGE-r, Negative Emotionality. Alpha depends on both the number of items and their average covariance, so coefficients from brief scales cannot be interpreted in the same way as those from longer scales. Still, low internal consistency can limit the precision with which the Brazilian form distinguishes individual differences. The response-inconsistency scales VRIN-r and TRIN-r require special caution because they are built from item pairs associated with inconsistent or imbalanced responding rather than interchangeable indicators of one substantive construct.

Standard errors of measurement were 4 to 9 T-score points. These figures describe expected score imprecision under the classical test theory assumptions and the internal consistency estimates obtained in this sample, not thresholds for clinical significance. Most scales had mean standard errors of 8 points or less. VRIN-r and TRIN-r had the highest values, at 9 points, whereas F-r had values of 4 to 5. The higher-order and Restructured Clinical scales generally had the smallest standard errors, while HLP, BRF and DSF were among the problem-specific scales with the highest values. The results suggest that the Brazilian form may be better suited to broad domains and some clinical scales than to several narrower problem scales, although the study did not test whether the observed precision is sufficient for any particular application.

An exploratory model examined demographic associations with NUC scores in the community sample. The model was statistically significant but accounted for only 7.4% of the variance in NUC scores, with an adjusted R² of 0.060. Predicted scores declined across early and middle adulthood, reached an estimated minimum at about age 51 and then increased, indicating a small nonlinear age association. The linear age coefficient was −0.209, with a 95% confidence interval from −0.305 to −0.114, while the quadratic coefficient was 0.006, with a 95% confidence interval from 0.002 to 0.010. NUC scores also differed by sex, and education showed a small association in the robust analysis that was not significant in the corresponding conventional analysis of variance. Geographic region was not associated with NUC scores. Because this analysis used only score-level demographic associations, it did not test measurement invariance or differential item functioning and cannot explain NUC’s comparatively low cross-language correlation.

Intercorrelations among the Brazilian scale scores ranged from weak to strong, with several comparatively large associations appearing among scales assigned to the same broad domains. EID was strongly associated with RCd, RC7 and other scales related to emotional dysfunction. RC6 and RC8 showed very high associations with PSYC-r, while RC4 and RC9 were strongly associated with the broader behavioral dysfunction scales; RC9 also correlated strongly with AGG and ACT, and RC4 was strongly related to JCP, Justified Problems. These patterns resemble the broad organization of the original MMPI-2-RF, but they were derived entirely from correlations among scores obtained from the same self-report inventory. Without independent measures of personality, psychopathology, functioning, diagnosis or clinical outcomes, the study cannot establish convergent, discriminant or criterion-related validity. It also cannot determine whether correlated scores represent distinct syndromes, genuine distress, response style or shared item content.

The authors emphasize that the findings are not a release of clinical interpretation for the Brazilian form. The study did not test a latent structural model, measurement invariance, differential item functioning, diagnostic classification or criterion-related prediction, and the cross-language design did not separate language effects from two-week stability. The community sample also lacked adequate representation of severe psychiatric and psychotic disorders, limiting conclusions about scale performance in those groups. Previous work on other MMPI adaptations has shown that a well-translated instrument can still differ across countries in score distributions, item functioning and scale associations. Even the closer European Portuguese adaptation of the different Personality Assessment Inventory produced normative differences and did not reproduce its originally proposed full-scale structure without modification. For the Brazilian MMPI-2-RF, the current evidence supports a carefully adapted instrument with promising score correspondence and preliminary internal coherence, but further research with representative community and clinical samples, external criteria, formal structural models and invariance testing is needed before interpretations developed for the North American version can be evaluated for use in Brazil.

Subject of Research: Initial Brazilian Portuguese adaptation and psychometric evaluation of the MMPI-2-RF personality and psychopathology inventory

Article Title: Filling the gap of the MMPI-2-RF in Brazil: translation, reliability, and preliminary internal structural coherence of scale scores

Article References: Lerman, T. G., Andreoli, S. B., Sellbom, M., Ben-Porath, Y. S., Gonçalves, A. P., & de Francisco Carvalho, L. (2026). Filling the gap of the MMPI-2-RF in Brazil: translation, reliability, and preliminary internal structural coherence of scale scores. Current Psychology, 45(20), Article 1635. https://doi.org/10.1007/s12144-026-10168-8

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10168-8

Keywords: MMPI-2-RF, Brazilian Portuguese, psychological assessment, personality inventory, psychopathology, test adaptation, measurement reliability, cross-language validation, internal structure, Brazil, Filling, translation

The research, led by Esther Gómez Botella of the Hospital General Universitario Dr. Balmis in Alicante and collaborators at the Alicante Institute for Health and Biomedical Research and Miguel Hernández University, was published in BMC Psychology. What makes the study distinctive is its selection policy: unlike many programs that exclude patients deemed psychologically unsuitable, the Alicante team excluded no one on psychological grounds. Every patient who proceeded to implantation between 2012 and 2022 had completed a standardized psychological assessment beforehand, allowing the researchers to ask, without the distortion of selection bias, whether baseline personality and symptom profiles actually shaped outcomes.

The tool they used was the Millon Clinical Multiaxial Inventory, third edition, a widely administered questionnaire that scores patients on twenty-four clinical scales spanning anxiety, depression, somatoform tendencies, personality patterns, and severe psychopathology. Each patient’s profile was recorded before surgery. The team then measured outcomes at one month, six months, one year, and two years after implantation, using instruments that are standard in modern pain research: a visual analogue scale for pain both at rest and during movement, the EuroQol five-dimension questionnaire for quality of life, a visual analogue scale for perceived overall health, and the Pittsburgh Sleep Quality Index for sleep.

The headline finding is emphatically positive. Before implantation, patients rated their resting pain at an average of 8.56 on a ten-point scale, and their movement-related pain at 9.39, scores that describe near-maximal, disabling discomfort. Two years later, those averages had fallen to 4.22 and 5.24 respectively, reductions of roughly 51 and 44 percent. More than half of the patients maintained at least a fifty percent reduction in pain at the two-year mark, a threshold clinicians regard as a meaningful clinical response rather than mere statistical noise.

The benefits extended well beyond raw pain scores. The average quality-of-life index on the EuroQol instrument climbed from a dismal 0.18 to 0.60, a shift that in health-economic terms corresponds to a dramatic recovery in everyday functioning. Patients’ self-rated overall health rose from 31.4 to 54.9 on a hundred-point scale, and sleep quality improved substantially, with Pittsburgh index scores falling from 15.5 to 10.1 as insomnia and fragmented rest eased. All of these changes were statistically robust, with p-values below 0.001, and, critically, they persisted across every follow-up visit over the entire two-year window, arguing against the gradual fading of benefit that has plagued some neurostimulation cohorts.

Against that encouraging backdrop, the psychological question yielded a deliberately cautious answer. The researchers used linear mixed-effects models, a statistical framework that can track repeated measurements within each individual while handling missing follow-up data gracefully, to test each of the twenty-four MCMI-III scales as a potential predictor of each of the five outcomes. Because twenty-four scales times five outcomes produces a hundred and twenty statistical comparisons, the team applied false-discovery-rate correction, a modern multiple-testing safeguard that filters out the spurious associations that inevitably emerge when so many hypotheses are examined simultaneously.

Several scales did show nominal, or uncorrected, associations with outcomes. The most consistent patterns pointed to schizoid personality traits predicting poorer quality of life and dysthymia, a chronic form of low-grade depression, predicting poorer perceived health. But none of these associations survived false-discovery-rate correction, and most became weaker still when the researchers adjusted for the Desirability validity scale, an MCMI-III measure that flags patients who answer in a socially flattering rather than candid manner. Notably, the cohort showed no clinically meaningful elevations on the severe personality and psychotic-spectrum scales, meaning the analysis could not test whether such severe profiles might matter.

The authors are careful about what their data do and do not demonstrate. Their findings, they conclude, neither support nor exclude a prognostic role for pre-implantation psychological screening; the results are best treated as hypothesis-generating material for prospective research rather than as a basis for deciding who deserves an implant. That distinction matters, because in practice psychological screening has sometimes functioned as a gatekeeping instrument, with patients denied neuromodulation on the basis of unvalidated cut-offs. This study’s no-exclusion design offers a rare window into what happens when that gate is left open: outcomes were strong across the board.

The study’s technical strengths include its adherence to the STROBE reporting guidelines for observational research, its use of IMMPACT-aligned outcome measures recommended by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials, and sensitivity analyses using bootstrap confidence intervals to check that the results did not hinge on assumptions about statistical distributions. Its funding came from the Instituto de Investigación Sanitaria y Biomédica de Alicante, which played no role in the design, analysis, or decision to publish, and the authors declare no competing interests, an important transparency note in a field where device manufacturers are heavily involved.

The limitations are equally clear-eyed. Forty patients from a single center is a modest sample, and retrospective designs cannot control every confounding variable the way a randomized trial can. The two-year follow-up, though longer than most, still falls short of the decade-long horizon on which implanted devices operate. Nonetheless, the practical message for patients and clinicians is striking: spinal cord stimulation delivered substantial, durable relief across pain, mood-linked health perception, quality of life, and sleep, and the psychological questionnaires collected before surgery proved far better at describing patients than at predicting their futures. For now, the authors suggest, psychological assessment belongs alongside implantation as a support tool, not in front of it as a filter, and the definitive test of psychological prognostication awaits larger, prospective, deliberately designed studies.

Subject of Research: Psychological predictors of two-year outcomes after spinal cord stimulation for chronic pain

Article Title: Pre-implantation psychological assessment and two-year outcomes of spinal cord stimulation for chronic pain: a retrospective observational study

Article References: Gómez Botella, E., Gómez Salinas, L., Sastre Peris, Y., Bernabéu Juan, P., Pérez-Jover, V., & van-der Hofstadt Román, C. J. (2026). Pre-implantation psychological assessment and two-year outcomes of spinal cord stimulation for chronic pain: a retrospective observational study. BMC Psychology. https://doi.org/10.1186/s40359-026-05596-x

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05596-x

Keywords: chronic pain, spinal cord stimulation, MCMI-III, psychological assessment, quality of life, sleep quality, neuromodulation, EQ-5D-5L, prognosis, pain management, retrospective study, Pre-implantation

A research team led by Clara Sophie Beer of LWL University Hospital Hamm for Child and Adolescent Psychiatry at Ruhr University Bochum, working with colleagues from the University of Hildesheim and Charité Universitätsmedizin Berlin, has now taken a step toward closing that gap. In a study published in BMC Psychology, the team evaluated whether the Body Checking and Avoidance Questionnaire, known as the BCAQ, can be used reliably and validly in female adolescents diagnosed with anorexia nervosa or atypical anorexia nervosa. The instrument is the only questionnaire designed to capture both checking and avoidance behaviors in a single measure, which makes it uniquely suited to assessing the full behavioral spectrum of body image distortion.

The conceptual logic behind the BCAQ is straightforward. Body image is conventionally divided into components: an affective component covering feelings about the body, a cognitive component covering beliefs and attitudes, a perceptual component covering how accurately people judge their size and shape, and a behavioral component covering what people actually do. Established instruments such as the Body Checking Questionnaire and the Body Image Avoidance Questionnaire each target one side of the behavioral picture, but the BCAQ, originally developed for adults, combines both. Its 27 items ask respondents how frequently they engage in specific actions, from scrutinizing particular body parts to wearing baggy clothing to sidestep attention. Whether those items make psychological sense to a 14-year-old, and whether they hang together as coherent scales in younger respondents, was precisely what the German team set out to test.

The study drew on anonymized routine clinical data from female adolescents treated for anorexia nervosa or atypical anorexia nervosa, the latter diagnosis applied when all criteria of anorexia are met except significant weight loss. The research was approved by the Ethics Committee of the Medical Faculty at Ruhr University Bochum, and because the analyses used anonymized clinical data, informed consent was not required under German data protection regulations, though patients and their legal guardians were informed that anonymized data might be used for research. This clinical sampling strategy matters because validation studies conducted only in healthy or community samples can say little about how a measure performs where it is needed most, among patients whose symptoms are severe enough to require treatment.

The psychometric work began with a confirmatory factor analysis, the standard technique for testing whether a questionnaire’s predefined structure fits new data. Here the news was initially sobering: the original 27-item BCAQ showed poor model fit in the adolescent sample. Fit indices, which include the comparative fit index, the Tucker-Lewis index, the root mean square error of approximation, and the standardized root mean square residual, all indicated that the adult-derived factor structure did not translate cleanly to this younger clinical group. Rather than abandoning the measure, the researchers turned to exploratory factor analysis, a more open-ended statistical approach that lets the data reveal their own underlying structure. This analysis flagged four items with low or inconsistent loadings, meaning those items did not correlate strongly or consistently with any coherent behavioral dimension in adolescents.

Removing those four items produced an adapted 23-item version, and the revised measure performed considerably better. The analyses yielded a preliminary three-factor structure, suggesting that checking and avoidance behaviors in adolescents organize into three distinguishable behavioral clusters rather than the two broad categories the original instrument assumed. Reliability, assessed with Cronbach’s alpha, ranged from 0.78 to 0.94 across the scales, values that sit within the range conventionally regarded as good for psychological instruments. Convergent validity, the degree to which the BCAQ scores correlate with related constructs measured by other questionnaires such as the Eating Disorder Examination Questionnaire and body shape concern measures, was satisfactory, indicating that the adapted measure taps the same underlying clinical reality as established adult instruments.

The known-groups comparisons, which test whether a measure distinguishes groups expected to differ, provided more limited and exploratory evidence. A small group difference emerged only for avoidance behavior, while checking scores did not separate the groups as clearly. The authors are careful to frame these findings as preliminary rather than definitive. Validation is never a single verdict but an accumulating body of evidence, and this study represents one early data point in what will need to be a longer process before the adapted BCAQ can be recommended for broad clinical use.

Why does a questionnaire validation study deserve attention beyond the psychometrics community? Because measurement is the foundation on which everything else in clinical science rests. Eating disorders carry among the highest mortality rates of any psychiatric condition, and they typically begin during adolescence, a developmental window when body image concerns intensify and early intervention can alter the trajectory of illness. If clinicians and researchers cannot accurately measure the behavioral symptoms of body image distortion in teenagers, they cannot track treatment progress, compare interventions, or identify which patients are at greatest risk. Instruments developed and tested exclusively in adults leave clinicians guessing about whether the questions even make sense to younger patients, whose bodies, social environments, and daily routines differ substantially from those of the grown-ups the items were written for.

The German team is explicit about the limits of the current evidence. The study examined temporal stability only indirectly, and the authors call for longitudinal research to evaluate how stable the measure’s scores are over time, an essential property for any instrument intended to monitor change during treatment. They also note that further work is needed in other groups of adolescents before the questionnaire can be recommended more broadly, since the current evidence comes from female patients with anorexia or atypical anorexia nervosa and may not generalize to boys, to adolescents with other eating disorder diagnoses such as bulimia nervosa or binge-eating disorder, or to community samples.

Even so, the study offers clinicians and researchers a promising tool at a moment when the need is acute. The adapted 23-item BCAQ provides preliminary evidence of good reliability and satisfactory convergent validity for assessing behavioral body image distortion in female adolescents with anorexia nervosa, filling a genuine gap in the assessment literature. For a field in which the behavioral symptoms of illness are often the most observable and the most treatable targets, having a validated way to measure them in the patients who need it most is a meaningful advance. The full open-access article, including supplementary materials detailing the factor analyses, is available from BMC Psychology for researchers who wish to build on this work.

Subject of Research: Validation of the Body Checking and Avoidance Questionnaire in adolescents with anorexia nervosa

Article Title: Measuring body checking and avoidance in adolescents: validation of a behavioral questionnaire

Article References: Beer, C. S., Zillmer, S., Drießnack, N., Jaite, C., & Legenbauer, T. (2026). Measuring body checking and avoidance in adolescents: validation of a behavioral questionnaire. BMC Psychology, 14(1), Article 1359. https://doi.org/10.1186/s40359-026-05614-y

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05614-y

Keywords: eating disorders, body image, body checking, body avoidance, adolescence, psychological assessment, psychometrics, anorexia nervosa, BMC Psychology, Measuring, body, checking

The study, led by Aamer Aldbyani of Shandong Xiehe University together with colleagues in Jordan, Egypt, Saudi Arabia, and Yemen, was designed as a cross-sectional psychometric validation. The researchers translated the scale into Arabic, submitted it to expert review, culturally adapted the wording, and formally assessed content validity before deploying it to students in Egypt, Saudi Arabia, Yemen, and Jordan. The final analytic sample comprised 1,252 university students, a size large enough to subject the instrument to the full battery of modern statistical scrutiny: confirmatory factor analysis, reliability estimation, tests of discriminant and criterion-related validity, and, perhaps most importantly for a multilingual instrument, measurement invariance testing across national samples.

The Digital Mindfulness Scale rests on a three-factor structure, measuring three distinct but related dimensions of mindful technology engagement. The first is Intention, the degree to which a person deliberately chooses when and how to use digital tools rather than reaching for them reflexively. The second is Attention, the capacity to remain present and focused during digital activity instead of drifting into fragmented, distracted browsing. The third is Attitude, a non-judgmental and accepting orientation toward one’s own digital experiences, including the ability to notice urges to check a phone without automatically obeying them. Together, the three subscales paint a portrait of someone who uses technology consciously rather than being used by it, a quality that researchers increasingly see as central to digital wellbeing.

Confirmatory factor analysis provided strong support for that three-factor architecture in the Arabic data. The model produced a chi-square of 190 with 87 degrees of freedom, yielding a ratio of chi-square to degrees of freedom of 2.184, comfortably within conventional thresholds. The comparative fit index reached 0.959 and the Tucker-Lewis index 0.951, both above the 0.95 benchmark typically considered evidence of good fit. The root mean square error of approximation came in at 0.043, with a 90 percent confidence interval of 0.035 to 0.052, and the standardized root mean square residual was 0.038. In plain terms, the pattern of answers given by Arabic-speaking students matched the structure the scale was built to measure, suggesting that the psychological concept of digital mindfulness translates coherently into Arabic rather than dissolving into something culture-specific and unrecognizable.

Reliability results were similarly reassuring. The three subscales posted Cronbach’s alpha values of 0.776 for Intention, 0.781 for Attention, and 0.760 for Attitude, with McDonald’s omega coefficients of 0.778, 0.781, and 0.761 respectively, all indicating acceptable internal consistency for a research instrument. Composite reliability estimates ranged from 0.776 to 0.779, reinforcing the conclusion that each subscale measures its target dimension consistently across items. One statistical caveat did surface: average variance extracted, or AVE, ranged from 0.410 to 0.414, falling below the conventional 0.50 cutoff that signals strong internal convergent evidence. The authors were candid about this limitation, noting that the items within each subscale share somewhat less variance with one another than strict standards would prefer, even though the constructs themselves proved reliable in practice.

Discriminant validity, the requirement that the three dimensions remain statistically distinguishable from one another rather than collapsing into a single blurry factor, was supported. Heterotrait-monotrait ratios, known as HTMT values, ranged from 0.393 to 0.510, sitting below the thresholds at which researchers begin to worry that two supposedly separate constructs are indistinguishable in practice. This matters because a scale whose subscales overlap too heavily cannot tell a researcher whether intentional engagement, attentive engagement, or accepting attitudes are driving an outcome. With these results in hand, future studies can ask which specific component of digital mindfulness predicts healthier phone habits, rather than treating the whole construct as an undifferentiated block.

The most headline-worthy findings concern criterion-related validity, the test of whether the scale correlates with real-world outcomes it should plausibly relate to. Students who scored higher on digital mindfulness reported greater digital life balance, with a correlation of r = 0.335, a moderate positive association indicating that mindful engagement goes hand in hand with a healthier equilibrium between online and offline life. Conversely, digital mindfulness scores were negatively associated with problematic smartphone use, with r = -0.283, meaning students who used their devices more mindfully were less likely to report the compulsive checking, loss of control, and life interference that characterize problematic smartphone behavior. These correlations align with what the broader mindfulness literature would predict, lending the new Arabic scale immediate practical credibility.

Perhaps the study’s most technically impressive achievement was demonstrating measurement invariance across the four country samples. Configural invariance, the baseline requirement that the scale’s factor structure holds in each country, was supported, as were metric invariance, meaning the items relate to their factors with equal strength across groups, scalar invariance, meaning comparisons of mean scores are meaningful, and strict invariance, the most demanding level, which additionally requires that measurement error behaves identically across countries. In practical terms, this means researchers can legitimately compare average digital mindfulness scores between Egyptian, Saudi, Yemeni, and Jordanian students without worrying that differences reflect quirks of translation or response style rather than genuine psychological differences. For a region whose universities are producing enormous volumes of digital behavior research, that cross-cultural guarantee is a valuable piece of scientific infrastructure.

The authors are careful about the boundaries of their claims. External convergent validity, the demonstration that the Arabic scale correlates with established measures of general mindfulness or closely related constructs, was not directly examined, and they recommend that future validation work incorporate such benchmarks. The AVE shortfall likewise suggests the scale is ready for research use but should be interpreted with standard psychometric caution. The study was funded by Umm Al-Qura University in Saudi Arabia under grant 26UQU4331015GSSR02, received ethical approval from the Research Ethics Committee of Shandong Xiehe University with local institutional consultation in the participating countries, and was conducted in accordance with the Declaration of Helsinki. The article was published open access on 14 October 2026, with the accepted manuscript shared early to speed access to the peer-reviewed findings.

Why does this matter beyond the psychometrics? Problematic smartphone use among university students has been linked in numerous studies to poorer sleep, lower academic performance, and elevated anxiety, and interventions built on mindfulness principles have shown promise in English-language contexts. Until now, Arabic-speaking researchers lacked a rigorously validated tool to assess digital mindfulness in their own populations, forcing reliance on translated instruments of unverified quality. A scale that is reliable, structurally sound, and invariant across four national contexts opens the door to cross-cultural studies of digital wellbeing spanning the Arab world and beyond, to screening programs that identify students at risk of compulsive phone use, and to intervention trials that can measure whether mindfulness training actually shifts the attitudes and habits that keep screens from crowding out real life. The smartphone is not going away; instruments like this one are how science learns to live with it wisely.

Subject of Research: Arabic-language psychometric validation of the Digital Mindfulness Scale and its links to digital life balance and problematic smartphone use among Arab university students

Article Title: Arabic validation of the Digital Mindfulness Scale among Arab university students: associations with digital life balance and problematic smartphone use

Article References: Aldbyani, A., Ayasrah, M. N., Zayed, A. M., Al-Harbi, M. F. O., & Almansoub, H. A. M. M. (2026). Arabic validation of the Digital Mindfulness Scale among Arab university students: associations with digital life balance and problematic smartphone use. BMC Psychology. https://doi.org/10.1186/s40359-026-05790-x

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05790-x

Keywords: digital mindfulness, psychometrics, scale validation, smartphone use, university students, Arabic, cross-cultural psychology, measurement invariance, digital life balance, confirmatory factor analysis, BMC Psychology, digital wellbeing

The research team recruited three carefully matched groups of adults, with fifty-one participants in each: individuals diagnosed with borderline personality disorder, psychiatric controls who experienced other mental health difficulties, and healthy controls with no psychiatric diagnosis. This three-group design is critical, because it allows researchers to distinguish what is specific to borderline personality disorder from what is shared across forms of psychological distress. Many symptoms once considered hallmark features of the disorder, including impulsivity and self-injury, turn out to be elevated in other clinical populations as well. By comparing all three groups on the same measures, the study could determine whether emptiness and its behavioral consequences truly set borderline personality disorder apart, or whether they represent a more general phenomenon of psychological suffering.

Methodologically, the study went beyond simple questionnaires. Participants completed the Subjective Emptiness Scale, a validated instrument measuring the depth and persistence of inner void experiences, along with a newly developed inventory assessing self-destructive behaviors that occur specifically in response to feelings of emptiness. This novel measure is an important technical advance, because prior research often conflated self-destructive acts driven by many different triggers. By asking participants to report harmful behaviors that follow emptiness episodes in particular, the researchers could isolate the pathway from the inner void to harmful action rather than measuring a general tendency toward self-harm that might stem from anger, shame, or other emotional states entirely.

The study’s most ambitious component involved measuring mentalizing, the capacity to understand behavior, both one’s own and that of others, in terms of underlying mental states such as thoughts, feelings, desires, and intentions. Mentalizing has become one of the most influential constructs in contemporary theories of borderline personality disorder, and mentalization-based treatment is a widely used therapeutic approach built on the idea that improving this capacity reduces symptoms. Participants completed two separate interviews coded with the Reflective Functioning Scale, a gold-standard scoring system in the field. The first interview assessed general mentalizing about relationships and life experiences. The second was a novel emptiness-focused interview, designed to capture what the researchers call emptiness-specific mentalizing: the ability to make sense of the experience of inner void itself, to reflect on what emptiness feels like, where it comes from, and what it means.

The results confirmed the centrality of emptiness in the disorder. Individuals with borderline personality disorder reported significantly greater emptiness than both psychiatric controls and healthy controls, and they also reported more self-destructive behaviors overall and more self-destructive behaviors specifically following episodes of emptiness. This pattern held even when compared against other people receiving mental health care, strengthening the argument that emptiness is not merely a nonspecific symptom of general distress but a distinctive and clinically significant feature of borderline personality disorder. For clinicians, the finding reinforces what many patients describe anecdotally: the void is not a side note to the disorder but one of its core, driving experiences.

Yet the study also produced a genuinely surprising result. Despite the theoretical prominence of mentalizing in models of borderline personality disorder, the BPD group did not differ from the comparison groups in either general mentalizing or emptiness-specific mentalizing as assessed in these retrospective interviews. This finding challenges a straightforward version of the mentalizing deficit hypothesis, at least as it applies to this population and this measurement approach. It suggests that when people with borderline personality disorder are interviewed in a structured, reflective setting about their experiences, their capacity to describe mental states may be comparable to that of other adults, including healthy ones. Deficits, if they exist, may be more state-dependent, emerging under emotional arousal or in interpersonal situations rather than in calm, retrospective reflection.

The central hypothesis of the study concerned moderation: the researchers predicted that stronger mentalizing would buffer the link between emptiness and self-destructive behavior, so that people who could make sense of their inner void would be less likely to act on it destructively. Across all three groups, emptiness did predict self-destructive behaviors, confirming the intuitive and clinically important association between the inner void and harmful action. However, neither group membership nor mentalizing moderated this association. In other words, the relationship between feeling empty and acting destructively held its strength regardless of how well participants could reflect on mental states in the interviews, and this pattern was consistent across people with borderline personality disorder, other psychiatric patients, and healthy controls.

This null moderation result carries real theoretical weight. It suggests that retrospective mentalizing, the reflective capacity measured in interview settings, may not be the protective factor that some clinical theories would predict. Several explanations are possible, and the authors are careful to frame the finding as an invitation for further research rather than a definitive refutation. Mentalizing may need to be measured in the moment, during an actual emptiness episode, to capture its protective potential; the ability to reflect calmly after the fact may not translate into the capacity to regulate oneself in the heat of an agonizing void. Alternatively, the specific form of mentalizing that matters may differ from what the Reflective Functioning Scale captures, or the sample size of fifty-one per group may have limited statistical power to detect a moderation effect of modest size. It is also possible that the link between emptiness and self-destruction is so direct and visceral that reflective understanding alone cannot interrupt it.

The cross-group consistency of the emptiness-to-harm pathway is arguably the study’s most broadly significant contribution. Emptiness predicted self-destructive behaviors not only in people with borderline personality disorder but across all participants, including healthy adults. This suggests that the inner void is a transdiagnostic risk factor, a dimension of human experience that can push anyone toward harmful action when it becomes severe enough. That framing has implications well beyond one diagnosis. Screening for emptiness in psychiatric assessment, regardless of the presenting diagnosis, may help identify individuals at risk for self-harm who would otherwise be missed by symptom checklists focused on mood or anxiety. It also resonates with a growing body of work on loneliness, meaninglessness, and disconnection as fundamental drivers of psychological suffering in modern life.

For the field of borderline personality disorder research, the study marks an important step toward treating emptiness as a legitimate scientific object rather than a vague clinical impression. The development of an emptiness-specific mentalizing interview and a targeted inventory of emptiness-driven self-destructive behavior gives researchers new tools to dissect the pathway from inner void to harmful action. Future work, the findings imply, should examine mentalizing in real time, test whether interventions that target emptiness directly, rather than the disorder as a whole, can reduce self-destructive behavior, and explore whether other capacities, such as emotion regulation or self-continuity, might serve as the true buffers between void and action. What is already clear is that the aching absence so many patients struggle to describe deserves a central place in both research and treatment, and that understanding it may be one of the keys to preventing some of the most dangerous consequences of psychological pain.

Subject of Research: The relationship between chronic emptiness, self-destructive behaviors, and mentalizing capacity in borderline personality disorder

Article Title: From inner void to harmful action: a controlled study of emptiness, self-destructive behaviors, and mentalizing in borderline personality disorder

Article References: Sheena-Peer, L., Basson, S. A., Steinberg, N., Livni, T., Moshe-Cohen, R., & Kivity, Y. (2026). From inner void to harmful action: a controlled study of emptiness, self-destructive behaviors, and mentalizing in borderline personality disorder. BMC Psychology. https://doi.org/10.1186/s40359-026-05687-9

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05687-9

Keywords: borderline personality disorder, emptiness, mentalizing, self-destructive behavior, reflective functioning, psychiatric controls, transdiagnostic, inner void, self-harm, BMC Psychology, Bar-Ilan University, clinical psychology

The study, led by Eileen Crehan of the University of Massachusetts Chan Medical School together with Kelly Whaling, Hannah Jones, Jacqueline Shinall, and Rachel Loftin of the telehealth provider Prosper Health, set out to answer a deceptively simple question: if a blinded expert reviewer examined the same assessment materials that a treating clinician used, would the two reach the same conclusion about whether the patient met DSM-5-TR criteria for autism spectrum disorder? This kind of diagnostic agreement study does not by itself prove that a test is accurate, but it is a foundational step. If two professionals looking at the same information routinely disagree, no amount of accessibility or convenience can rescue the assessment from unreliability.

The sample consisted of 100 adults who primarily communicated through spoken language, drawn from routine clinical care at the telehealth organization. Critically, the researchers deliberately stratified recruitment so that at least half of the participants were Black, Indigenous, and people of color; the final sample achieved 51 percent BIPOC representation. That design choice is notable because autism research has historically over-relied on white, male, and childhood samples, and documented racial and ethnic disparities in autism identification—in children as well as adults—raise legitimate concerns about whether diagnostic instruments perform equitably across demographic groups. By building diversity into the sampling plan from the start, the team aimed to generate agreement estimates that were at least plausible to generalize beyond a narrow population.

The assessment protocol itself was unusual in both structure and philosophy. Evaluations generally included two 90-minute structured interviews spanning ten clinical domains mapped directly onto DSM-5-TR criteria, along with behavioral observation, standardized questionnaires, and collateral information from informants when available. The interview and the broader assessment pathway were developed with input from autistic adults, who gave feedback on interview content, question framing, sensory considerations, and the overall experience of being assessed. The team describes the approach as neurodiversity-affirming: rather than framing autism as a collection of deficits to be uncovered, clinicians were trained to affirm clients’ lived experiences while still applying explicit, criterion-level decision rules to determine whether diagnostic thresholds were met.

That combination—affirming stance plus rigid structure—is the study’s most provocative claim. Skeptics of neurodiversity-affirming practice have sometimes worried that reducing deficit-based language would soften diagnostic rigor, leading clinicians to rubber-stamp autism diagnoses. The authors push back directly on this idea, arguing that affirming clients’ experiences and setting aside deficit-based assumptions does not require presuming an autism diagnosis. The structured interview’s criterion-level decision rules functioned as guardrails: every clinical judgment had to be anchored to specific DSM-5-TR criteria, documented on structured rating forms, and traceable through the written record that the blinded reviewer would later examine.

So what did the numbers show? When the blinded expert—Crehan, who had no employment relationship with the telehealth organization and did not supervise any of its clinicians—reviewed the de-identified assessment materials, overall agreement with the original clinicians was 86.0 percent, with a 95 percent confidence interval running from 77.9 to 91.5 percent. Translated into Cohen’s kappa, the standard statistic for inter-rater agreement that corrects for chance agreement, the value was 0.684 with a confidence interval of 0.531 to 0.836. The authors had preregistered a kappa benchmark of 0.66 before accessing any data, and the point estimate cleared that bar—although, as the researchers candidly note, the confidence interval extends below it, meaning the data cannot rule out more modest agreement.

The fine-grained breakdown adds texture to the headline figure. Original clinicians classified 68 percent of the sample as autistic, while the blinded expert reviewer classified 66 percent—suggesting neither party showed a systematic inflation bias. Positive percent agreement, meaning the proportion of clinician-assigned autism diagnoses the expert confirmed, was 90.9 percent. Negative percent agreement, the proportion of non-autism classifications the expert confirmed, was 76.5 percent. In other words, when a clinician concluded that a patient was autistic, the independent reviewer very often agreed; disagreement clustered disproportionately in the smaller group of cases where clinicians concluded that criteria were not met. In a diagnostic context where a missed or delayed identification carries real consequences—lost access to accommodations, mental health supports, and self-understanding—that asymmetry is arguably the conservative kind of error to have.

Exploratory subgroup analyses hinted at lower agreement among BIPOC participants, although the authors are careful to stress that these estimates were imprecise, reflecting the limits of subgroup sample sizes. The finding echoes a long literature documenting racial and ethnic disparities in autism identification, including earlier diagnosis gaps and differential clinical profiles at referral, and it flags measurement equity as an open question rather than a settled one. The full R analysis code is publicly available on the Open Science Framework, an unusual degree of transparency for clinical research that allows independent analysts to scrutinize exactly how every number was produced.

The researchers are equally explicit about what the study does not show. Because the blinded reviewer relied on substantially the same information as the treating clinicians—interview transcripts, rating forms, questionnaires, and collateral reports—the design tests agreement under shared-information conditions, not diagnostic accuracy in the strict sense. A reviewer working from the same records as the original assessor could, in principle, inherit the same errors embedded in those records. Establishing criterion validity would require independent prospective validation: separate evaluations conducted without information overlap, multiple blinded reviewers, and ideally comparison against a reference standard. The authors call for exactly that next phase, and they also note the tension inherent in their own positionality: several authors are employees of the telehealth organization whose protocol was evaluated, and most of the authorship team identifies as neurodivergent. The study’s mitigation strategies—preregistration, random case selection, de-identification, a blinded non-employee reviewer, and transparent reporting of all deviations from the preregistered plan—were designed to counter both commercial and proximity-to-subject biases, but the dual roles are disclosed for readers to weigh.

For adults seeking assessment, the practical implications are nonetheless striking. Telehealth autism diagnosis accelerated during the COVID-19 pandemic and has since accumulated a growing evidence base in children, but adult-specific validation has lagged. Adults present particular challenges: decades of accumulated coping strategies, camouflaging behaviors that can mask core traits in structured observation settings, and co-occurring psychiatric conditions that complicate differential diagnosis. A structured, criterion-mapped interview delivered over video, developed with autistic adults and now shown to yield substantial agreement between independent raters, could meaningfully widen access to diagnosis for people for whom in-person specialist assessment is logistically or financially impossible. At the same time, the equity signals in the subgroup data and the shared-information limitation are reminders that accessibility and validity are separate questions, and that the field’s next task is to test these protocols against fully independent evaluations. If that work confirms the present findings, the default pathway to an adult autism diagnosis—long defined by scarcity, geography, and outdated instruments—may be on the verge of a genuine structural shift.

Subject of Research: Diagnostic agreement of a structured telehealth-based adult autism assessment mapped to DSM-5-TR criteria

Article Title: Diagnostic Agreement of a Structured Telehealth Adult Autism Assessment

Article References: Crehan, E., Whaling, K., Jones, H., Shinall, J., & Loftin, R. (2026). Diagnostic Agreement of a Structured Telehealth Adult Autism Assessment. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-026-07571-2

Image Credits: AI Generated

DOI: 10.1007/s10803-026-07571-2

Keywords: autism, telehealth, adult diagnosis, DSM-5-TR, diagnostic agreement, Cohen's kappa, neurodiversity-affirming care, BIPOC health equity, psychological assessment, preregistration, Diagnostic, Agreement

The research team, led by Elnaz Chohedri, Melika Moradi, Bahare Oji, Erfan Sadeghi, and Hamed Nikoupour Daylami, drew their participants from the Namazi Hospital Liver Transplant Registry, randomly selecting 100 patients who had undergone liver transplantation between 2020 and 2023. The average age of the participants was 40.8 years, with a standard deviation of 11.3 years, and 61 percent were men. Each participant completed a demographic questionnaire along with two well-established psychological instruments: the Mississippi Scale for Posttraumatic Stress Disorder and the 21-item Posttraumatic Growth Inventory, known as the PTGI.

The Mississippi Scale is a widely used screening tool that quantifies trauma-related symptoms such as intrusive memories, avoidance behaviors, emotional numbing, and hyperarousal. In this study, a score above 107 was defined as the threshold for screening positive for PTSD symptoms. The PTGI, by contrast, measures perceived positive change across domains such as appreciation of life, relationships with others, personal strength, new possibilities, and spiritual change. Rather than treating growth as a simple yes-or-no category, the researchers analyzed total PTGI scores as a continuous variable, capturing the full spectrum of self-reported psychological transformation.

The headline finding is one of cautious reassurance. Screening-positive PTSD symptoms were observed in 12 percent of the participants, meaning that the vast majority of liver transplant recipients in this sample did not report trauma symptoms at the clinical threshold. Meanwhile, the mean PTGI total score was 46.37, with a standard deviation of 26.20, indicating substantial variability from one patient to another. Some recipients reported profound positive change, while others reported little or none. This spread matters, because it suggests that surviving a transplant does not automatically produce either lasting psychological injury or a guaranteed sense of renewal.

Perhaps the most technically interesting result is what the researchers did not find. In exploratory regression analyses, no statistically significant associations emerged between any of the assessed demographic variables—such as age or sex—and either screening-positive PTSD symptoms or PTGI total scores. Nor did the correlation between PTSD symptoms and post-traumatic growth reach statistical significance; the relationship was weak. This absence of association challenges a common intuition that suffering and growth are two sides of the same coin, with more distress automatically yielding more transformation. In this Iranian cohort, the two phenomena appear to travel on largely independent tracks.

That independence carries real clinical weight. Post-traumatic stress disorder and post-traumatic growth are conceptually distinct outcomes, and this study adds empirical support to the idea that clinicians cannot infer one from the other. A patient who reports little distress may not necessarily have experienced growth, and a patient who describes finding new meaning in life may still harbor untreated trauma symptoms. Screening for both, the authors suggest, may be necessary to build an accurate picture of each recipient’s psychological adaptation after surgery.

The context of liver transplantation makes these findings particularly striking. Candidates for transplant typically endure end-stage liver disease, a condition marked by fatigue, jaundice, cognitive impairment, and the constant risk of life-threatening complications such as variceal bleeding or hepatic encephalopathy. The surgery itself involves major abdominal trauma, often followed by an intensive care unit stay, and the post-transplant period demands strict adherence to immunosuppressive regimens and frequent monitoring for rejection and infection. Each of these elements is a recognized stressor in the trauma literature. Against that backdrop, a screening-positive PTSD rate of 12 percent is notably moderate, though cross-sectional designs and self-report instruments mean the figure should be interpreted as a snapshot rather than a definitive prevalence estimate.

The study also fills a geographic gap. The authors note that evidence on PTSD and post-traumatic growth after liver transplantation in Middle Eastern countries has remained limited, leaving clinicians in the region without locally relevant data. Cultural factors can shape how patients interpret illness, express distress, and report personal change, so findings from Western transplant centers cannot simply be assumed to transfer. By providing baseline data from an Iranian cohort, the Shiraz team gives regional transplant programs a starting point for building psychological screening into routine follow-up care, alongside the biochemical and immunological monitoring that already dominates post-transplant visits.

Methodological caveats deserve honest attention. As a cross-sectional study, the design captures a single moment in time and cannot establish whether trauma symptoms or growth emerged early or late after surgery, nor how they evolve. The sample of 100 patients, while adequate for exploratory analysis, limits statistical power, which may partly explain why no demographic associations reached significance. The reliance on self-report scales introduces the usual risks of recall and response biases, and the Mississippi Scale threshold identifies screening-positive symptoms rather than formal clinical diagnoses. The authors themselves emphasize that further longitudinal studies are needed to track psychological trajectories over the months and years following transplantation.

Even with those limitations, the study’s practical message is clear. Psychological assessment after liver transplantation may be useful for identifying distress and understanding how patients adapt to their new lives, and it should not be reserved only for patients who visibly struggle. The coexistence of a minority with trauma symptoms and a wide range of growth scores suggests that transplant medicine, having conquered so much of the biology of organ failure, still has work to do on the mind. For the growing global population of transplant survivors, routine, structured psychological follow-up could help ensure that a saved life also becomes a lived one—whether that means treating lingering trauma, nurturing newfound resilience, or simply asking patients, systematically and early, how they are truly coping.

Subject of Research: Post-traumatic stress disorder and post-traumatic growth in liver transplant recipients

Article Title: Post-traumatic stress disorder (PTSD) and post-traumatic growth (PTG) after liver transplantation (LT): a cross-sectional study in Shiraz, Iran

Article References: Chohedri, E., Moradi, M., Oji, B., Sadeghi, E., & Daylami, H. N. (2026). Post-traumatic stress disorder (PTSD) and post-traumatic growth (PTG) after liver transplantation (LT): a cross-sectional study in Shiraz, Iran. BMC Psychiatry. https://doi.org/10.1186/s12888-026-08744-0

Image Credits: AI Generated

DOI: 10.1186/s12888-026-08744-0

Keywords: liver transplantation, PTSD, post-traumatic growth, psychological outcomes, cross-sectional study, Iran, mental health, trauma psychology, psychological assessment, transplant recipients, Post-traumatic, stress

The concept at the heart of the paper is cognitive disorganization, a term that covers a cluster of observable difficulties: trouble sustaining attention, difficulty sequencing the steps of a task, problems accessing language when it is needed, and disruptions in discourse organization, the ability to assemble speech into a coherent, goal-directed flow. In help-seeking youth, these difficulties frequently appear alongside unusual experiences, such as odd perceptual events or strange beliefs, and alongside functional decline at school, at home, or among peers. The traditional clinical reflex is to read this combination as a signal of emerging psychosis risk. Niederlohmann does not dismiss that possibility, but he insists it is only one of several plausible readings, and that a responsible formulation must be able to distinguish between them rather than collapsing everything into a single ominous label.

The proposed framework rests on four questions. First, what is the young person’s developmental baseline, meaning the level of attentional, linguistic, and organizational functioning that was typical for them before the current difficulties emerged? Second, which functions vary within the person across cognitive load, context, and time, a question that probes whether the disorganization is stable or fluctuates predictably under stress, fatigue, or specific environmental demands? Third, what is actually happening in the environment, and how is the young person interpreting it, particularly with respect to threat? Fourth, do established clinical-risk indicators require formal assessment or referral, for example when unusual experiences or functional decline cross thresholds that standard instruments are designed to detect? Each question addresses a different assessment task, and the author emphasizes that they may be considered together as a proposed clinical heuristic rather than a rigid protocol.

The developmental-baseline question deserves particular attention because it changes the meaning of everything that follows. A young person whose discourse organization has always been somewhat fragile, perhaps due to a longstanding developmental language difference, presents a very different formulation picture from one whose speech became disorganized over the course of weeks. Without anchoring the assessment to a documented baseline, clinicians risk mistaking a stable trait for an acute deterioration, or vice versa. This is why the framework insists that formulation begin with what is known about the individual’s prior functioning, gathered from school records, family report, and previous clinical contacts, before any interpretive weight is placed on current presentation.

The second question, concerning within-person variability, draws on a body of acute-stress research showing that stress can affect specific executive outcomes under studied conditions. Executive functions, the umbrella term for abilities such as working memory, cognitive flexibility, and inhibitory control, are known to be sensitive to acute stressors in controlled experimental settings. Niederlohmann’s treatment of this evidence is notably careful. He argues that extrapolating these laboratory findings to discourse organization, to threat meanings, or to reality testing in help-seeking youth is not yet sufficiently supported by the literature. In other words, it is reasonable to hypothesize that a young person’s disorganized speech worsens under stress, but that remains a domain-specific formulation hypothesis to be tested, not an established property of the presentation. The distinction matters enormously in clinical practice, where a plausible-sounding stress explanation can quietly harden into an assumed fact.

The third question moves the assessment outward, into the environment itself. Cognitive disorganization does not develop in a vacuum, and the framework asks clinicians to document what is genuinely occurring in the young person’s life, including any actual harm, coercion, or danger, and separately to assess how the young person interprets those events. A teenager who lives in a genuinely threatening household and a teenager who misreads benign social cues as hostile may both present with vigilance, fragmented speech, and unusual beliefs, but the appropriate responses differ radically. The paper is emphatic on this point: assessment of genuine environmental harm, safeguarding needs, and urgent medical or psychiatric risk takes precedence over explanatory interpretation. Before any formulation is debated, the clinician must establish whether the young person is safe.

The fourth question functions as a safety net within the heuristic itself. Established clinical-risk indicators, the signs that research and practice guidelines have flagged as warranting formal assessment, must be checked systematically rather than assumed away by an elegant explanatory narrative. If a young person shows indicators associated with psychosis risk, the framework directs the clinician toward formal assessment or referral, regardless of how compelling an alternative developmental or stress-based explanation might appear. This ordering reflects a core epistemic commitment of the paper: explanatory hypotheses are useful only insofar as they do not displace the detection of established risk.

Perhaps the most methodologically interesting feature of the Perspective is its explicit distinction between three tiers of knowledge: direct evidence, adjacent findings, and clinical hypotheses. Direct evidence in this domain is comparatively thin; adjacent findings, such as the acute-stress effects on executive outcomes, are real but bounded to the conditions in which they were studied; and clinical hypotheses, such as the idea that stress sensitivity explains a particular young person’s disorganized discourse, must be held as testable propositions. The author proposes that prospective studies should measure these domains separately, assessing the reliability of the four-question heuristic, its incremental clinical value over existing approaches, and its safety, meaning its capacity to avoid missing genuine risk, against explicit alternative explanations and falsification criteria. This is a demanding research agenda, and the paper does not pretend the heuristic has already met it.

The publication also carries a transparent account of its own production. The author discloses that generative AI tools were used during early manuscript development for brainstorming and preliminary mapping of potentially relevant literature, and later for English-language copy editing, with all suggestions independently evaluated and all cited sources verified by the author, who accepts full responsibility for the content. The article reports no original research involving human participants; all clinical illustrations are constructed, and no participant data were collected. The author declares income from clinical practice, teaching, supervision, and psychotherapy training, as well as work as an author and translator of professional literature, as potentially relevant interests. No funding was received for the manuscript. These declarations sit within a growing norm of openness about how perspective papers are assembled, and they do not alter the substance of the argument, but they give readers the information needed to weigh it.

What, then, is the practical takeaway for clinicians, services, and researchers watching the field of youth mental health? The contribution, as Niederlohmann frames it, is organizational rather than discovery-based: the paper does not introduce new syndromes or new instruments, but arranges established assessment domains around observable difficulties and documented uncertainty. For a clinician confronting a disorganized, distressed young person, the four questions offer a sequence that starts with the individual’s own developmental history, maps the fluctuation of functions under load and context, examines the environment and its interpretation, and only then triggers formal risk pathways where indicators demand it. For researchers, the paper issues a challenge: stop treating stress sensitivity and disorganization as a single bundled phenomenon, and design studies that measure the domains separately, with explicit criteria for when a formulation hypothesis should be rejected. If that agenda is pursued, the heuristic could help services move beyond the binary of over-pathologizing unusual cognition and under-detecting genuine emerging illness, a balance that matters most for the young people whose futures depend on getting the interpretation right the first time.

Subject of Research: A transdiagnostic developmental formulation approach to cognitive disorganization in help-seeking youth

Article Title: Cognitive disorganization in help-seeking youth: a transdiagnostic developmental formulation perspective

Article References: Niederlohmann, E. (2026). Cognitive disorganization in help-seeking youth: a transdiagnostic developmental formulation perspective. Discover Psychology. https://doi.org/10.1007/s44202-026-00939-6

Image Credits: AI Generated

DOI: 10.1007/s44202-026-00939-6

Keywords: cognitive disorganization, clinical formulation, transdiagnostic, adolescent mental health, developmental psychopathology, psychosis risk, psychological assessment, safeguarding, stress sensitivity, executive function, help-seeking youth, clinical heuristics

Emotion regulation, the process by which people influence which emotions they have, when they have them, and how they experience and express them, is one of the most heavily studied constructs in mental health science. Decades of research, much of it built on James Gross’s influential Process Model, have linked difficulties in regulating emotion to depression, anxiety, and diminished well-being. Yet the authors argue that existing instruments each capture only part of the picture. Some focus narrowly on specific strategies such as cognitive reappraisal or expressive suppression, while others measure regulatory difficulties rather than the broader repertoire of regulatory processes. The ERS was designed to close that gap by covering cognitive, behavioral, and contextual dimensions of regulation within a single, compact instrument.

What makes the study notable is not just the new scale but the framework behind it. Rather than delegating the work to a single chatbot, the researchers deployed a multi-model pipeline in which several LLMs and AI-based tools each contributed at different stages. One model might generate an initial pool of items grounded in the theoretical framework, while others were used to refine wording, flag potentially biased or ambiguous phrasing, and assist with translation. After the statistical analyses were complete, the models also helped interpret the emerging factor structure. At every step, the researchers emphasize, human judgment remained in charge: the AI proposals were reviewed, edited, and validated by the investigators before anything entered the instrument. The initial pool of 25 items was progressively refined down to the final 17-item scale.

The empirical test involved 743 adults recruited through convenience sampling, a cross-sectional design typical of early psychometric work. Crucially, the sample was randomly split into two non-overlapping subsamples, a methodological safeguard that allows exploratory and confirmatory analyses to be conducted on independent data. The first half of the sample was used for exploratory factor analysis, the statistical technique that searches for hidden dimensions underlying patterns of item responses. The second half was reserved for confirmatory factor analysis, which tests whether a hypothesized structure fits new data. This split-sample approach is considered good practice in scale development because it prevents researchers from polishing a model on the same data used to discover it.

The exploratory analysis revealed a preliminary four-factor structure that together explained 50.85 percent of the variance in responses, a respectable figure for a newly developed instrument. The four factors appear to map onto distinct facets of emotion regulation, spanning adaptive strategies and maladaptive cognitive patterns. In the confirmatory stage, the researchers tested a post hoc refined 17-item model and found fit indices that met conventional benchmarks: the ratio of chi-square to degrees of freedom was 1.95, comfortably below the threshold of concern, while the Comparative Fit Index reached 0.934 and the Tucker-Lewis Index 0.918, both approaching or exceeding the 0.90 standard. The root mean square error of approximation came in at 0.050, sitting right at the boundary of what methodologists typically consider acceptable fit.

Reliability, the consistency with which the scale measures its intended constructs, was acceptable for an instrument at this early stage. Cronbach’s alpha values ranged from 0.68 to 0.74 across the subscales, and McDonald’s omega, a more modern reliability coefficient, ranged from 0.68 to 0.75. These figures fall short of the 0.80 or higher often desired for mature scales, but the authors are candid that such values are not unusual for short subscales in initial development, and the numbers provide a baseline for refinement in future studies. The modest reliability also reflects the trade-off inherent in brief instruments, which sacrifice some internal consistency for speed and ease of administration.

Validity evidence followed two complementary paths. Convergent validity examines whether the new scale correlates with established measures of related constructs in the expected directions. Here, the adaptive strategies subscale correlated positively with cognitive reappraisal, with coefficients ranging from 0.522 to 0.608, while maladaptive cognitions correlated with expressive suppression at 0.400. Concurrent validity then linked the ERS to mental health outcomes: maladaptive regulation was associated with depression at 0.432 and anxiety at 0.462, and negatively with well-being and quality of life, while adaptive strategies showed the opposite pattern, correlating negatively with depression and anxiety and positively with well-being and quality of life. Known-groups validity added a final layer, with analyses of variance showing significant differences in maladaptive cognition scores across levels of depression and anxiety, with F statistics of 39.32 and 64.49 respectively, both highly significant.

The implications extend beyond emotion research. Scale development has long been a slow, labor-intensive craft, often requiring months of item drafting, expert review, and pilot testing before a single data point is collected. If LLMs can reliably accelerate item generation and bias screening while humans retain editorial control, the pipeline from construct definition to validated instrument could shorten considerably, particularly for researchers in under-resourced settings or for languages where few validated measures exist. The multi-model approach also offers a hedge against the known weaknesses of any single AI system, since flaws introduced by one model can be caught by another or by human reviewers. The authors stress that the framework is assistive rather than autonomous, and that established psychometric procedures, not the AI, remain the backbone of the science.

Caution, however, is warranted on several fronts. The study relied on convenience sampling, which limits how far the findings generalize beyond the recruited population, and the authors themselves call for further research with diverse samples to evaluate the scale’s psychometric properties, generalizability, and broader utility. The reliability coefficients, while acceptable for early-stage work, leave room for improvement, and the four-factor structure is described as preliminary pending replication. The role of AI in the process also raises questions that the field is only beginning to grapple with, including how to document and audit the contributions of generative models and how to ensure that AI-drafted items do not subtly encode cultural or linguistic biases. The researchers’ decision to keep human oversight explicit at every stage offers one template, but standards for AI-assisted measurement are still being written.

Even with those caveats, the study marks a genuine milestone: a peer-reviewed psychological instrument whose creation was shaped end to end by a structured collaboration between multiple AI systems and human scientists, validated against real data from hundreds of respondents. As generative models grow more capable, the boundary between computational tools and scientific instruments is likely to blur further, and this work offers an early, carefully documented glimpse of what that collaboration can look like in practice. For now, the 17-item ERS stands as both a candidate measure of a foundational mental health construct and a proof of concept that the psychometric toolkit of the future may include a large language model at the bench, always with a human hand on the controls.

Subject of Research: AI-assisted psychometric development of an Emotion Regulation Scale using large language models

Article Title: A multi-model LLM framework for AI-assisted psychological scale development: initial psychometric evaluation of the Emotion Regulation Scale (ERS)

Article References: Almohammadi, I. A., & Alzahrani, M. A. (2026). A multi-model LLM framework for AI-assisted psychological scale development: initial psychometric evaluation of the Emotion Regulation Scale (ERS). BMC Psychology. https://doi.org/10.1186/s40359-026-05759-w

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05759-w

Keywords: artificial intelligence, large language models, emotion regulation, psychometrics, scale development, psychological assessment, mental health, factor analysis, BMC Psychology, depression, anxiety, well-being

The theoretical backdrop for the study is a significant shift in how scientists think about adaptive emotion regulation. Earlier research treated strategies such as reappraisal and suppression as broadly good or bad, with reappraisal almost universally cast as the adaptive choice. Meta-analyses, including a widely cited 2012 review by Webb, Miles, and Sheeran, supported the general effectiveness of strategies derived from the process model of emotion regulation, and Gross’s influential 2015 framework cemented reappraisal’s reputation. Yet a growing body of evidence complicated this picture. Ford and Troy argued in 2019 that reappraisal carries real costs and can even backfire, while Troy, Shallcross, and Mauss had already shown in 2013 that cognitive reappraisal can either help or hurt depending on the context in which it is deployed. Studies of daily life using ecological momentary assessment, such as a 2022 meta-analysis by Boemo and colleagues, further revealed that the relations between regulation strategies and affect vary considerably from moment to moment.

These findings converge on a single insight: what matters is not merely the use of a strategy, but the ability to match strategies to situations and to adjust them when they are not working. Bonanno and Burton formalized this idea in their 2013 regulatory flexibility framework, which describes a sequence of sensitivity to context, availability of a repertoire of strategies, monitoring of feedback, and modification of behavior. Researchers have since built instruments to capture pieces of this sequence, including the Context Sensitivity Index developed by Bonanno and colleagues in 2020 and the Flexible Regulation of Emotional Expression Scale introduced by Burton and Bonanno in 2016. Coping flexibility has also been measured, notably by Cheng in 2001 and through the revised Coping Flexibility Scale examined by Kato in 2020. But no existing instrument zeroed in on flexibility within reappraisal itself, leaving a gap for a strategy that dominates the emotion regulation literature.

Oikawa and Kobayashi set out to close that gap. Drawing on previous emotion regulation models and on their own earlier work, including a 2021 study linking specific reappraisal substrategies to affective outcomes and the development of a multifaceted reappraisal questionnaire, they conceptualized reappraisal flexibility as comprising four distinct components. The first is context sensitivity, the capacity to detect cues in a stressful situation that signal which kind of reappraisal might work. The second is repertoire, the breadth of reappraisal options a person has available. The third is monitoring, the ongoing tracking of whether the chosen reappraisal is actually improving one’s emotional state. The fourth is modification, the willingness and ability to switch to a different reappraisal when the current one falls short. Together, these four facets translate the general regulatory flexibility sequence into the specific domain of cognitive reappraisal.

To build the scale, the researchers conducted two online surveys, each with 300 Japanese adults. In the first study, participants had an average age of 41.54 years with a standard deviation of 8.66, and 47 percent were male. The team generated an initial pool of items targeting the four proposed components and subjected the responses to both exploratory and confirmatory factor analyses, the standard statistical machinery for discovering and testing the underlying structure of a questionnaire. The results were telling. A two-factor solution fit the data poorly, with a root mean square error of approximation of 0.096 and a comparative fit index of 0.884. A three-factor model improved matters, reaching an RMSEA of 0.081 and a CFI of 0.929. But the four-factor model, matching the researchers’ theoretical predictions, fit best of all, with an RMSEA of 0.060 and a CFI of 0.967, values that fall comfortably within conventional thresholds for good model fit.

Beyond establishing the factor structure, Study 1 examined how the new scale relates to existing psychological traits, an essential step in building convergent and discriminant validity. The researchers found that the repertoire subscale correlated with the individual reappraisal substrategies at values ranging from 0.144 to 0.655, all statistically significant. This pattern makes conceptual sense: a person’s breadth of reappraisal options should relate to their use of specific reappraisal tactics, but not so strongly as to be redundant with them. The correlations also support the idea that repertoire is a genuine higher-order capacity, reflecting something broader than any single substrategy. Discriminant validity was assessed using established criteria, ensuring that the four facets, while related, capture distinguishable aspects of flexibility rather than a single undifferentiated tendency.

Study 2 provided an independent test of the scale’s structure and its real-world relevance. The second sample of 300 adults was closely matched to the first, with a mean age of 41.49 years, a standard deviation of 9.53, and 38 percent male participants. Confirmatory factor analysis again supported the four-factor structure, replicating the findings from Study 1 in a fresh sample, a critical requirement for any new psychological instrument. More importantly, the researchers examined associations with mental health measures, including the K6 screening scale for psychological distress, whose Japanese version was validated in the World Mental Health Survey by Furukawa and colleagues, and the WHO-Five Well-Being Index, adapted for Japanese populations by Awata and colleagues. The expected patterns of association with these measures supported the validity of the scale, suggesting that reappraisal flexibility is meaningfully tied to psychological adjustment rather than being an abstract statistical artifact.

Across both studies, all four subscales demonstrated satisfactory reliability, meaning that respondents’ scores were internally consistent and stable enough to be interpreted meaningfully. The research was conducted in accordance with the principles of the Declaration of Helsinki, with informed consent obtained from all participants and approval granted by the research ethics committee of Tokyo Gakugei University. The work was supported by JSPS KAKENHI Grant Number JP24K06495, and the authors reported no competing interests. Data supporting the findings are available from the corresponding author upon reasonable request, and the study followed contemporary best-practice guidelines for the development and validation of measurement scales in the psychological sciences, as laid out by Stefana and colleagues in 2025.

The implications of having a validated reappraisal flexibility scale extend well beyond psychometrics. Recent research has hinted that flexibility in reappraisal matters for health outcomes: a 2024 study by Marciniak and colleagues found that positive cognitive reappraisal flexibility is associated with lower levels of perceived stress, and Chen and colleagues reported in Nature Mental Health that emotion regulation flexibility relates to momentary affect across two cultures. Work by Li and colleagues on early psychosis showed that higher emotion regulation flexibility predicts more stable negative emotions and faster affective recovery. With the new scale, researchers can finally dissect which component of reappraisal flexibility drives these benefits. Is it the ability to read a situation accurately, the possession of many interpretive options, the vigilance to notice when a strategy fails, or the courage to switch course? Interventions could then be tailored to strengthen the specific component where an individual is weakest, rather than simply encouraging more reappraisal. For a field that has spent decades celebrating one strategy, the message of this new research is refreshingly nuanced: it is not how often you reframe, but how well you adapt your reframing, that may count.

Subject of Research: Development and validation of a scale measuring flexibility in cognitive reappraisal as an emotion regulation strategy

Article Title: Development of a reappraisal flexibility scale and examination of its reliability and validity

Article References: Oikawa, M., & Kobayashi, R. (2026). Development of a reappraisal flexibility scale and examination of its reliability and validity. Current Psychology, 45(18), Article 1499. https://doi.org/10.1007/s12144-026-10044-5

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10044-5

Keywords: reappraisal flexibility, emotion regulation, psychometrics, scale development, cognitive reappraisal, mental health, regulatory flexibility, factor analysis, psychological assessment, stress, coping, Current Psychology