The research, led by Julius Coffie Ashiagbor and colleagues at Southwest Medical University in Luzhou, China, together with collaborators at China Medical University in Shenyang, set out to move beyond the familiar literature on culture shock and adaptation. Instead of simply asking whether international students adjust to their host country, the team investigated how cultural intelligence, the capacity to function effectively across cultural contexts, relates to the deeper transformation of personal and professional identity. The study spanned six medical universities and combined statistical analysis of survey data with in-depth interviews, offering one of the more comprehensive portraits to date of how these students navigate the collision between who they were and who they are becoming.

Methodologically, the researchers used a convergent parallel mixed-methods design, meaning that quantitative and qualitative strands were collected and analyzed simultaneously and then integrated at the interpretation stage. A total of 207 international medical students contributed to the quantitative analysis, which employed analysis of variance and hierarchical regression to probe differences and predictors of cultural intelligence. Separately, 47 individuals were interviewed to capture the lived experience behind the numbers, with the interview data subjected to thematic analysis and thematic synthesis. This dual approach matters because cultural adaptation is notoriously difficult to capture with scales alone; the numbers can show that something differs between groups, but only the narratives reveal why and how the change unfolds.

The quantitative results contained several striking asymmetries. On the Cultural Intelligence Scale, a validated twenty-item instrument measuring four distinct facets, post hoc multiple comparisons showed that motivational cultural intelligence, the drive and interest to function in culturally diverse settings, scored significantly higher than all other facets, at a threshold of P less than 0.05. Cognitive cultural intelligence, by contrast, which reflects knowledge of cultural norms, values, and practices, was notably lower than the other facets. In practical terms, the students wanted to engage across cultures far more than they felt equipped with the concrete knowledge to do so. That gap between enthusiasm and understanding is precisely where many cross-cultural misunderstandings in clinical training are likely to originate.

Gender emerged as a consistent differentiator. Female students demonstrated significantly higher average scores than their male peers in motivational cultural intelligence, behavioral cultural intelligence, and the overall scale, again at P less than 0.05. In the hierarchical regression, gender had a negative impact on cultural intelligence, with a coefficient of -0.164, a t value of -2.390, and a p value of 0.018, indicating that being male was associated with lower scores after other factors were accounted for. The study also found that students whose stated learning objective was to secure a good job scored significantly higher on cognitive cultural intelligence and the overall scale than their peers, at P less than 0.01, suggesting that pragmatic career motivations may push students to invest more heavily in understanding their host culture.

Perhaps the most consequential statistical finding concerned learning attitudes. Willingness to engage in cross-cultural adaptation was a significant predictor across models, with R squared values ranging from 0.059 to 0.162, an F statistic of 4.783, and a P value below 0.000. The researchers report that this variable accounted for 10.3 percent of the variance in mean cultural intelligence scores. While that may sound modest, in the messy world of educational research, where dozens of confounding factors compete for explanatory power, a single attitudinal variable explaining a tenth of the variance is a meaningful signal. It implies that the students’ own disposition, their willingness to lean into the discomfort of adaptation, is not a background detail but an active ingredient in their development.

The qualitative strand gave that signal a human voice. From the interviews, six themes emerged: awareness, learning motivation, barriers, institutional gaps, solutions, and transformation. Students described becoming aware of their own cultural assumptions only when those assumptions collided with the expectations of teachers, classmates, and patients. They spoke of motivation that fluctuated with career prospects and personal confidence. They identified barriers ranging from language difficulties to social isolation, and pointed to institutional gaps, moments where universities provided structures for academic assessment but little scaffolding for the identity work happening underneath. Crucially, they also described solutions they had improvised themselves, and the sense of transformation that followed when those solutions worked.

One of the study’s central and most provocative concepts is the distinction between authentic professional development and what the authors call artificial personal development. According to the findings, students tend to build their professional identities through structured frameworks, standardized procedures, and accountability measures, the formal machinery of medical school. Personal development, however, often remains superficial or performative, an adaptive mask worn to fit the host culture rather than a genuine internal transformation. The risk is a graduate who is clinically competent but personally fragmented, someone who has learned to act the part of an international medical professional without integrating the experience into a coherent sense of self. The authors argue that educators frequently mistake this performed adaptation for real growth, and that the difference has consequences for student wellbeing and, ultimately, for patient care.

To close that gap, the team proposed a circular, five-step model for fostering the formation of professional and personal identity. The steps are: self-awareness and cross-cultural awareness; motivation for learning goals; critical assessment of barriers; innovative solutions to empower personal agency; and reintegration for transformation. The model is deliberately circular rather than linear, reflecting the interview evidence that students loop back through these stages repeatedly rather than completing them once. When students follow the steps in the recommended sequence, the researchers report, they can effectively transition toward greater awareness and personal identity development. The reintegration stage is particularly important: it frames transformation not as abandoning one’s original culture but as folding the new competencies into a renewed, more complex identity.

The practical implications reach well beyond the six universities involved. International medical education is a massive global enterprise, and host institutions often assume that immersion alone will produce adaptation. This study suggests otherwise: motivational drive is present, but cognitive knowledge lags, institutional support has gaps, and the willingness to adapt, while influential, needs to be cultivated deliberately. The authors encourage educators to offer more tailored support to international students, support that addresses identity formation with the same rigor applied to anatomical knowledge. If the circular puzzle model holds up under further testing, medical schools may need to treat cultural intelligence not as an optional soft skill but as a core competency, taught, assessed, and scaffolded with the same seriousness as any clinical procedure. For the students themselves, the message is equally clear: the struggle to belong in a foreign culture is not a distraction from becoming a doctor. It may be one of the most formative parts of it.

Subject of Research: Cultural intelligence and professional identity development among international medical students

Article Title: The authentic professional and artificial personal development among international medical students across cultures: a mixed-methods study

Article References: The authentic professional and artificial personal development among international medical students across cultures: a mixed-methods study. (n.d.). https://doi.org/10.1186/s12909-026-10580-5

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10580-5

Keywords: international medical students, cultural intelligence, medical education, cross-cultural adaptation, professional identity, mixed-methods research, BMC Medical Education, cultural intelligence scale, identity transformation, student motivation, hierarchical regression, thematic analysis

Neurodevelopmental disorders are a group of conditions that emerge during the development of the nervous system, characterized by early-onset deficits that impair personal, social, academic, or occupational functioning. The most frequently identified are ADHD and autism spectrum disorder, conditions that typically appear in childhood and persist into adulthood, shaping everything from communication and learning to social interaction. While much of the scientific literature has traditionally focused on the developmental trajectories of affected children, researchers have increasingly turned their attention to the primary caregivers — usually the parents — who coordinate therapeutic regimens, manage educational interventions, cope with behavioral crises, and attend to their children’s emotional needs, often for decades without relief.

The concept of parental burden captures the psychological, emotional, and physical strain experienced by those responsible for this complex care. Chronic caregiving obligations are known to push parents toward ineffective coping strategies such as denial, avoidance, and emotional withdrawal, and to elevate rates of depression, anxiety, panic, and burnout. What has been missing, the Brazilian team argues, is a study that examines how sociodemographic and socioemotional variables jointly predict burden in families of children with NDD, rather than treating these factors in isolation. The new research was designed to fill that gap with a predictive statistical framework.

The study recruited parents online between July and November 2024, ultimately analyzing data from 207 parents of children up to 18 years old. Sixty-two of them had children diagnosed with an NDD — most commonly autism spectrum disorder, followed by ADHD and combined ASD-ADHD diagnoses — confirmed by at least one qualified mental health professional. The remaining 145 parents had children without such diagnoses. Participants completed a sociodemographic questionnaire alongside validated instruments measuring parental burden, perceived stress, multidimensional social support, life satisfaction, and symptoms of depression, anxiety, stress, and panic. The team then applied hierarchical multiple regression, entering sociodemographic variables in a first block and social support measures in a second, to isolate the unique contribution of each predictor.

The results were striking. Parents of children with NDD reported significantly greater burden than parents of children without these conditions, scoring on average 22.41 on the burden scale compared with 16.60 — a difference that was highly statistically significant. They also reported lower life satisfaction, averaging 6.37 on a 10-point scale versus 7.51 for the comparison group, along with higher levels of anxiety, panic, and perceived stress. Family social support was negatively correlated with parental burden, with a correlation coefficient of −0.45, indicating that the more supported parents felt by their families, the lighter their perceived load.

The regression analysis sharpened the picture further. Having a child with an NDD independently predicted higher burden, adding roughly five points to the burden score. Female gender was another powerful predictor, adding nearly four points — a finding that underscores the gendered nature of caregiving, in which women disproportionately assume primary responsibility and the emotional labor that accompanies it. Higher educational attainment also predicted greater burden, a result the authors acknowledge may seem counterintuitive but is consistent with recent evidence. A population-based study of nearly one thousand caregivers found that higher education was associated with lower physical burden but greater mental burden, and a 2025 study of parents of children with autism found that highly educated parents were 3.4 times more likely to experience caregiving-related stress than those with secondary education.

Two mechanisms may explain why education amplifies rather than buffers the strain. First, parents with higher educational attainment may be more likely to actively seek information about the diagnosis, monitor developmental trajectories, and engage intensively with therapeutic and educational interventions, increasing their emotional involvement and stress exposure. Second, higher education may raise expectations about both child development and parental efficacy; when those expectations go unmet, or when available services feel insufficient, frustration, inadequacy, and chronic vigilance can intensify. In other words, knowledge and resources can paradoxically heighten the subjective weight of caregiving, even as they improve objective access to services.

Yet the study’s most hopeful finding concerns family support. Even after controlling for gender, education, relationship status, number of children, and diagnosis, perceived family support remained a significant predictor of reduced burden, with each unit of support associated with a 0.36-point decrease. Sociodemographic variables alone explained about 13 percent of the variance in burden; adding social support raised the explained variance to 30 percent. This suggests that intimate family dynamics — the felt availability of emotional, instrumental, and informational backing from relatives — act as a genuine protective buffer, not merely a correlate. Without such networks, the authors note, parents tend toward isolation, worsened psychological symptoms, and reduced self-care, eroding the very coping abilities that sustained caregiving demands.

The researchers frame their findings within a cyclical model: caregiving demands heighten stress, which impairs coping mechanisms, which in turn diminishes psychological well-being and life satisfaction, further weakening the caregiver. Breaking that cycle, they argue, requires integrated public health strategies that treat caregiver well-being as a priority in its own right. They point to counseling, psychoeducation, structured support groups, resilience training, and emotion-regulation programs as promising interventions, alongside routine mental health screenings and peer-led support that may reduce stigma and improve help-seeking. Such measures would not only alleviate individual distress but could enhance caregiving capacity and, indirectly, child development.

The authors are careful to note the study’s limitations. Its cross-sectional design precludes causal inference, its reliance on self-report measures may have introduced bias, and its convenience sample — recruited online and skewed toward highly educated, middle-to-upper socioeconomic families — limits generalizability to the broader Brazilian caregiver population. The unequal group sizes also warrant caution, which is why the team employed bootstrapped confidence intervals and emphasized effect sizes alongside p-values. Future research, they say, should adopt longitudinal designs, compare the distinct caregiving demands of specific diagnoses such as autism versus ADHD, and test whether support-strengthening interventions actually reduce burden over time. For now, the message is clear: supporting the parents of children with neurodevelopmental disorders is not a luxury but a public health necessity, and the family dinner table may be one of the most powerful therapeutic settings science has yet measured.

Subject of Research: Predictors of parental burden in families of children with neurodevelopmental disorders

Article Title: Factors related to the burden on parents of children diagnosed with neurodevelopmental disorders (NDD)

Article References: Moraes, H. C. F., de Azevedo, T. G., da Silva, P. G. N., de Paula Silva, J. L., de Oliveira, T. C. F., Andrade, M. C. R., & Alvarenga, M. A. S. (2026). Factors related to the burden on parents of children diagnosed with neurodevelopmental disorders (NDD). Current Psychology, 45(18), Article 1506. https://doi.org/10.1007/s12144-026-10029-4

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10029-4

Keywords: neurodevelopmental disorders, parental burden, autism spectrum disorder, ADHD, social support, caregiver stress, mental health, life satisfaction, hierarchical regression, family dynamics, psychological distress, parenting

The study, conducted by Samira Alirezaei of the Social Determinants of Health Research Center and Moloud Miahi of the Department of Basic Medical Sciences at Saveh University of Medical Sciences, set out to untangle the relationships between three organizational factors—job stress, job security, and organizational justice—and the productivity of administrative and support staff. These non-faculty employees form the operational backbone of academic medical institutions, handling everything from finance and procurement to clinical administration, yet they are often overlooked in workplace research that focuses on physicians, nurses, or academics.

Between October 2025 and March 2026, the researchers recruited 215 non-faculty employees using simple random sampling, a method that gives every member of the staff population an equal chance of selection and reduces the risk of bias in who ends up in the study. Participants completed validated questionnaires measuring four constructs: job stress was assessed with the Health and Safety Executive Management Standards Indicator Tool, a widely used instrument developed by the UK’s workplace safety regulator that evaluates demands, control, support, relationships, role, and change; the remaining instruments captured perceived job security, organizational justice, and self-rated employee productivity. The study protocol received ethics approval from Saveh University of Medical Sciences, and all participants provided written informed consent.

The analysis combined descriptive statistics with two inferential techniques. Pearson correlation analysis measures the strength and direction of linear relationships between variables, producing coefficients that range from minus one to plus one. Hierarchical multiple linear regression then allowed the researchers to enter predictors in stages and determine which factors retained an independent association with productivity after accounting for the others—a statistical adjustment that is critical when the predictors themselves are correlated, as they were here.

The correlation results were unambiguous. Productivity rose in lockstep with job security, with a correlation coefficient of 0.674, and with organizational justice, at 0.671, both highly statistically significant. Job stress showed a negative relationship, expressed in the data as a positive correlation of 0.533 with HSE scores; because higher HSE scores indicate lower perceived stress, this means employees who felt less stressed also reported being more productive. On their face, all three factors appeared to matter. But correlation alone cannot reveal which factors drive productivity independently, because employees who feel secure also tend to perceive their workplaces as fair, and vice versa.

The regression analysis changed the picture dramatically. After mutual adjustment, organizational justice emerged as the strongest independent predictor, with a standardized beta coefficient of 0.381, followed closely by job security at 0.355, both significant at the p < 0.001 level. Job stress, by contrast, dropped to statistical irrelevance, with a beta of just 0.037 and a p-value of 0.575—essentially indistinguishable from zero once justice and security were taken into account. The final model explained 58.1 percent of the variance in productivity, a remarkably high figure for research on complex workplace behavior, where models typically account for far less.

Why would stress lose its apparent importance once fairness and security enter the equation? One plausible interpretation, consistent with the authors’ conclusions, is that much of what employees experience as stress is downstream of structural conditions rather than an independent cause of poor performance. A worker who believes promotions are awarded arbitrarily and whose contract feels perpetually precarious will report high stress—but the stress may be a symptom, not the disease. Interventions that target stress directly, such as relaxation training or individual coping programs, may therefore scratch the surface while leaving the underlying organizational conditions untouched. The authors explicitly conclude that interventions aimed at improving fairness and employment security may be more effective than focusing solely on individual stress management.

The concept of organizational justice has a rich history in organizational psychology, generally divided into distributive justice, or the perceived fairness of outcomes such as pay and promotion; procedural justice, the fairness of the processes used to reach those decisions; and interactional justice, the dignity and respect with which people are treated. In a university setting, where administrative staff often sit outside the prestige hierarchy that privileges faculty, perceptions of procedural fairness may carry particular weight. The study’s findings align with a broader body of evidence linking justice perceptions to commitment, trust, and performance, but they sharpen the message by showing that justice outperformed stress in a direct statistical contest.

Job security, the other dominant predictor, has taken on renewed salience in an era of economic uncertainty, automation anxiety, and restructuring across health systems and higher education. The mechanism connecting security to productivity is intuitive: employees who fear losing their positions may hedge their effort, disengage from long-term projects, or channel energy into job searching rather than institutional goals. Conversely, a credible sense of security frees cognitive and emotional resources for the work itself. For medical sciences universities, whose administrative machinery directly supports education, research, and patient care, the productivity of this workforce has measurable consequences for institutional performance.

The authors are careful about the study’s limits, and readers should be too. The cross-sectional design captures a single moment in time, so it cannot prove causation—productive employees might, for instance, feel more secure precisely because their performance is valued. The sample comes from a single institution in Iran, and the authors recommend multicenter studies to test whether the findings generalize to other universities, health systems, and national contexts. Self-reported productivity, while measured with validated instruments, remains a subjective indicator. Even so, the practical implication is hard to ignore: if organizations want more productive workers, the evidence points toward building transparent, fair decision-making processes and stable employment arrangements, rather than simply handing out stress balls. In the contest between fixing people and fixing systems, this study suggests the systems deserve the first look.

Subject of Research: Organizational determinants of employee productivity among non-faculty staff at a medical sciences university

Article Title: Organizational determinants of employee productivity among non-faculty employees of a medical sciences University: a cross-sectional study

Article References: Organizational determinants of employee productivity among non-faculty employees of a medical sciences University: a cross-sectional study. (n.d.). https://doi.org/10.1186/s12913-026-15784-5

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15784-5

Keywords: employee productivity, organizational justice, job security, job stress, medical sciences university, cross-sectional study, occupational health, hierarchical regression, health services research, workplace psychology, human resource management, Iran

The study recruited 100 Kurdish-speaking adults attending nine outpatient clinics in the cities of Erbil, Sulaymaniyah, and Koya, covering internal medicine, gastroenterology, and neurology. Between October 2023 and March 2024, a single trained clinical psychologist conducted face-to-face interviews in private clinic rooms, using interviewer-administered questionnaires that took roughly fifteen to twenty minutes. Eligible patients had to be attending a routine appointment, able to give informed consent, and sufficiently fluent in Kurdish Sorani. Attending physicians confirmed eligibility and excluded eight individuals with severe cognitive impairment before consent, but played no role in the decision to participate, which rested entirely with the patients themselves.

The researchers used three well-established instruments adapted for the setting. Cumulative trauma exposure was measured with the War and Adversity Exposure Checklist, a 26-item inventory of general adversity and war-related event types developed for conflict-affected populations in the region. PTSD symptom severity was assessed with the Kurdish Sorani version of the PTSD Checklist for DSM-5, a 20-item scale scored from 0 to 80 that captures the four DSM-5 symptom clusters: intrusion, avoidance, negative alterations in cognition and mood, and alterations in arousal and reactivity. Somatic symptom burden was measured with the Patient Health Questionnaire-15, translated into Sorani through independent forward and back translation and piloted with 20 patients before the main study began.

The headline result is striking in its magnitude. Total PCL-5 severity correlated with PHQ-15 somatic symptom burden at r = 0.66, a strong association by psychological research standards. In a hierarchical regression model that first entered age group, gender, and self-reported chronic-disease status, then cumulative trauma exposure, and finally PTSD symptom severity, the addition of the PCL-5 score accounted for an additional 40 percent of the variance in somatic burden. The final model explained 48 percent of the variance overall, with an adjusted R-squared of 0.448. Each point increase on the PTSD scale was associated with an increase of roughly 0.38 points on the somatic symptom scale, with a bias-corrected bootstrap confidence interval running from 0.29 to 0.47.

Just as revealing was what did not predict physical symptoms. Cumulative trauma exposure, measured as the number of endorsed event types on the WAEC, showed no statistically significant correlation with somatic burden (r = 0.12, p = 0.24), even though it was associated with total PTSD severity (r = 0.26, p = 0.009). In other words, it was not the raw count of traumatic experiences that tracked with bodily complaints, but the intensity of current posttraumatic stress symptoms. The authors caution that the checklist did not capture the timing, duration, severity, or subjective meaning of events, and its observed range of 4 to 16 endorsed event types may have limited sensitivity, so the null finding should not be read as evidence that trauma exposure is unimportant.

An exploratory secondary analysis broke the PCL-5 into its four DSM-5 clusters and entered them simultaneously. All four correlated with somatic burden at the bivariate level, but when their mutual overlap was taken into account, only one cluster emerged with a bootstrap confidence interval excluding zero: negative alterations in cognition and mood, which includes persistent negative beliefs, distorted blame, shame, fear, and diminished interest. The authors interpret this cautiously. The cluster contains affective and cognitive content that overlaps with broader internalising distress, and because depression, anxiety, and general distress were not measured in this study, the coefficient should be treated as hypothesis-generating rather than as a stable, PTSD-specific effect.

The statistical work was thorough for a modest sample. The researchers checked multicollinearity with tolerance and variance inflation factors, examined residual diagnostics including the Durbin-Watson statistic, Mahalanobis distance, and Cook’s distance, and used 5,000 bootstrap resamples for confidence intervals. A sensitivity analysis removing the sex-specific menstrual item from the PHQ-15 left the primary estimate essentially unchanged. A power analysis based on the noncentral F distribution indicated the sample could detect incremental effects of roughly f-squared = 0.08 for the primary model, but smaller unique effects, particularly among the correlated PTSD clusters, may have gone undetected.

The findings fit a broader international literature. Studies of war veterans, refugees, community samples, and clinical populations have repeatedly documented co-occurrence between posttraumatic stress and physical symptom burden, including pain, fatigue, sleep disturbance, and gastrointestinal complaints. Meta-analytic evidence links trauma exposure with functional somatic syndromes, and network analyses have implicated disturbed sleep as a possible bridge between the two symptom domains. Yet cluster-level findings have varied across populations: some studies of traumatised refugees point to negative alterations in cognition and mood and arousal, while others using ICD-11 frameworks highlight sense of threat and avoidance. The new study adds a setting-specific data point from routine medical care in a region where specialist mental-health services remain scarce and stigma can constrain help-seeking for psychological problems.

The authors are careful about what the study cannot show. The cross-sectional design cannot establish temporal order or causation, and reciprocal frameworks, in which physical symptoms and posttraumatic stress maintain each other, remain plausible but untested. Recruitment relied on non-probability convenience sampling, with a single interviewer and no complete record of how many eligible patients declined or left before assessment, so selection bias of unknown direction is possible and the sample cannot be considered representative of medical outpatients across the Kurdistan Region. Medical characterisation was limited to a single yes-or-no question about chronic disease; specific diagnoses, illness severity, pain status, medication use, and medical explanations for individual symptoms were unavailable, leaving substantial residual confounding. Moreover, because both questionnaires were administered in the same interview and share some overlapping content, common-method effects cannot be excluded.

Even with those caveats, the clinical implications are hard to ignore. Patients with high somatic burden in conflict-affected settings may be presenting their distress through the language of the body, and routine medical visits may be the only point of contact with the health system where that distress could be recognised. The researchers stress that the results do not establish that elevated physical symptom scores identify PTSD, that physical symptoms are psychogenic, or that any particular screening pathway works. Instead, they argue for further evaluation of integrated, patient-centred assessment approaches, with research examining diagnostic accuracy, acceptability, medical differential assessment, referral feasibility, and clinical outcomes before implementation recommendations are made. Future studies, they suggest, should use larger, prospectively recruited samples with detailed medical and psychological measures, longitudinal designs to establish temporal ordering, and formal validation of the Sorani PHQ-15. For a region where generations have lived through repression, war, terrorism, and displacement, the study is a reminder that the line between psychological injury and physical illness may be far thinner than clinic walls suggest.

Subject of Research: The association between PTSD symptom severity and somatic symptom burden among adult medical outpatients in the Kurdistan Region of Iraq

Article Title: PTSD symptom severity and somatic symptom burden among adult medical outpatients in the Kurdistan Region of Iraq: a cross-sectional study

Article References: Mahmood, H. N., Ghafoor, Z. A., Ibrahim, H., & Neuner, F. (2026). PTSD symptom severity and somatic symptom burden among adult medical outpatients in the Kurdistan Region of Iraq: a cross-sectional study. Discover Psychology, 6(1), Article 278. https://doi.org/10.1007/s44202-026-00940-z

Image Credits: AI Generated

DOI: 10.1007/s44202-026-00940-z

Keywords: PTSD, somatic symptoms, medical outpatients, trauma exposure, Kurdistan Region of Iraq, PCL-5, PHQ-15, cross-sectional study, psychosomatic medicine, conflict-affected populations, mental health, hierarchical regression

The research team assembled a mixed sample of 955 participants drawn from Iran, combining 143 psychiatric patients who met DSM-5 criteria for somatic symptom and related disorders (SSRD) with 812 individuals from the general population who did not carry that diagnosis. The sample had an average age of 34.2 years, with a standard deviation of 11.5 years, and was 66 percent female. This design deliberately blended a clinically severe group with community participants, allowing the investigators to examine how somatization relates to other forms of psychopathology across a wide spectrum of severity rather than only within a narrow patient population.

Methodologically, the study took what the authors describe as a multidimensional approach. Participants completed a battery of self-report questionnaires covering somatic symptoms, psychological syndromes such as depression and anxiety, and two distinct ways of characterizing personality pathology. The first, criterion-based approach reflects the traditional categorical diagnosis of personality disorder, in which individuals are judged against diagnostic checklists. The second, trait-based approach follows the newer dimensional model, assessing maladaptive personality traits as continuous dimensions. By including both frameworks, the researchers could test whether the answer to their question depended on how personality pathology is defined — a critical check, because the field of personality assessment is currently in transition between these two paradigms.

To reduce the many questionnaire items to interpretable constructs, the team used exploratory factor analysis, a statistical technique that identifies clusters of variables that covary together and can be treated as underlying latent dimensions. This procedure extracted four factors corresponding to somatization, psychological syndromes, criterion-based personality disorder, and maladaptive trait-based personality pathology. In other words, the data themselves organized into the conceptual categories the researchers set out to compare, providing a clean foundation for the predictive analyses that followed.

The heart of the study lay in hierarchical linear regression, a technique that allows researchers to enter predictors in stages and measure how much additional variance each block explains. Here the logic was straightforward but powerful: if somatization were fundamentally a manifestation of personality pathology, then personality measures should explain substantial variance in somatic symptom reporting even after current psychological distress is statistically controlled. Conversely, if somatization is chiefly tied to present distress, the psychological syndromes factor should dominate. The results were unambiguous, and the effect sizes were striking.

Compared with criterion-based personality disorder, the psychological syndromes factor was far more strongly related to the somatization factor. The psychological syndromes accounted for an R-squared of 0.512, meaning they explained just over half of the variance in somatization scores, whereas criterion-based personality pathology explained only 0.105. In the hierarchical models, the incremental contribution — the change in R-squared — was 0.414 for psychological syndromes against a mere 0.007 for criterion-based personality disorder. The same pattern emerged when the trait-based model was used instead: psychological syndromes achieved an R-squared of 0.512 versus 0.138 for maladaptive traits, with incremental values of 0.377 versus 0.004. Whichever lens was applied to personality, the conclusion held.

The team also examined a single-item, pain-related measure as a separate outcome, and here too psychological syndromes outperformed both personality frameworks, though with smaller absolute effects. The syndromes factor explained an R-squared of 0.151 for the pain measure, compared with 0.067 for criterion-based personality disorder and 0.066 for trait-based pathology. The incremental contributions were 0.086 for psychological syndromes against 0.003 and 0.001 for the two personality approaches respectively. The authors are careful to note that these pain findings rest on a single-item indicator and should not be generalized to multidimensional assessments or to chronic pain conditions, where the underlying dynamics may differ considerably.

What do these numbers mean conceptually? The authors conclude that somatization appears to be a phenomenon primarily related to psychological distress rather than to personality pathology, and that this holds regardless of the theoretical context used to define personality problems. This does not mean personality pathology is irrelevant. The study found that both criterion-based and trait-based personality pathology were independently related to somatization, so the association is real. But when current psychological distress is taken into account, personality pathology shrinks to a marginal predictor. In practical terms, a patient’s present levels of depression, anxiety, and related syndromes carry most of the predictive signal for bodily symptom reporting, while personality structure adds only a thin residual layer of explanation.

The clinical implications are significant. Somatization is notoriously difficult to treat, and patients with somatic symptom and related disorders often consume substantial health care resources through repeated investigations and specialist referrals that yield little relief. If the strongest statistical lever for understanding somatization is current psychological distress rather than entrenched personality pathology, then interventions targeting distress — such as treatments for depression and anxiety — may offer the most direct route to reducing the burden of somatic symptoms. The authors explicitly frame their findings as a way to refine theoretical models and improve clinical outcomes by targeting the most impactful constructs, and the variance figures suggest that distress-focused constructs are precisely those impactful targets.

The study also carries methodological lessons for the research community. Because the pattern of results was consistent across both categorical and dimensional conceptualizations of personality pathology, the conclusion is not an artifact of one diagnostic school. The use of factor analysis to establish latent dimensions before regression, and the hierarchical entry of predictors to isolate incremental validity, provide a template for similar comparative questions in psychopathology research. The work was approved by the ethics committee of the Mind GPS Institute of Kermanshah, Iran, conducted in accordance with the Helsinki Declaration, and supported methodologically by that institute without external funding. As with any cross-sectional, self-report study, causal direction cannot be established, and the general-population sample from a single country invites replication elsewhere. Yet the sheer size of the gap — psychological syndromes explaining roughly half the variance in somatization while personality pathology explains a tenth or less — makes this one of the clearer statistical verdicts the field has received on a long-standing debate, and it points clinicians firmly toward treating the distress, not just the personality, when the body speaks for the mind.

Subject of Research: The relative contribution of psychological syndromes and personality pathology to somatization

Article Title: Relative sensitivity of phenotypic personality pathology and psychological syndromes to somatization phenomenon: a multidimensional approach

Article References: Komasi, S., Macina, C., Miettunen, J., Nazari, A., Heydarpour, B., Shams-Alizadeh, N., & Amianto, F. (2026). Relative sensitivity of phenotypic personality pathology and psychological syndromes to somatization phenomenon: a multidimensional approach. Discover Mental Health. https://doi.org/10.1007/s44192-026-00615-0

Image Credits: AI Generated

DOI: 10.1007/s44192-026-00615-0

Keywords: somatization, somatic symptom and related disorders, personality pathology, psychological distress, DSM-5, hierarchical regression, factor analysis, maladaptive traits, pain, psychopathology, mental health, Relative

The children represented in the sample carried diagnoses that span the landscape of neurodevelopmental disorders: developmental delay, autism spectrum disorder, attention-deficit/hyperactivity disorder, and intellectual disabilities. These conditions, which emerge early in development and affect communication, learning, self-regulation, and daily functioning, are well known to place elevated demands on caregivers. Previous meta-analytic work has consistently shown that parents of children with autism spectrum disorder report higher parenting stress than parents of typically developing children, and that this stress is linked to child behavioral problems, parental burnout, and even marital dissatisfaction. What has been less clear is how the broader family environment—cohesion, adaptability, functioning, and the emotional setting of the home—interacts with individual parenting experiences such as stress, self-efficacy, and parenting style.

To untangle those relationships, the researchers administered a battery of validated instruments through an online questionnaire. Parenting stress was measured with the Parenting Stress Index-Short Form, a widely used tool originally developed by Richard Abidin that captures parental distress, parent-child dysfunctional interaction, and difficult child characteristics. Parenting competence was assessed with the Parenting Sense of Competence Scale, which taps both satisfaction and efficacy. The Parental Bonding Instrument probed parents’ own recollections of care and overprotection from their caregivers, while the Family Adaptation Partnership Growth Affection Resolve Questionnaire, based on the Family APGAR concept proposed by Smilkstein in 1978, measured perceived family functioning. Finally, the Family Closeness and Adaptability Scale, grounded in Olson’s circumplex model of marital and family systems, evaluated cohesion and flexibility within the household.

The statistical architecture of the study was deliberately layered. The team began with descriptive statistics and correlation analyses, then moved to hierarchical multiple regression, a technique that allows researchers to enter blocks of predictor variables in sequence and observe how each block changes the explanatory power of the model. Crucially, they checked for multicollinearity—the statistical problem that arises when predictor variables overlap so heavily that their individual contributions become indistinguishable—using variance inflation factors. Across all models, VIF values remained below 2.5, well under the conventional threshold of concern, which means the reported coefficients can be interpreted with reasonable confidence as distinct contributions rather than artifacts of redundancy.

The correlational results were dramatic. Parenting stress was negatively associated with parenting style at r = –0.626, with family functioning at r = –0.831, and with family setting at r = –0.792, all statistically significant at the p < 0.01 level. In plain terms, parents who described their families as functioning well and their home environments as supportive reported substantially less stress, while those describing harsher or less adaptive parenting styles reported more. Correlation coefficients of this magnitude, particularly the –0.831 linking stress and family functioning, indicate relationships strong enough that the two constructs are nearly tracking the same underlying experience of household well-being.

The hierarchical regression analyses sharpened the picture further. When entered as predictors, parenting style showed significant negative coefficients ranging from β = –0.159 to –0.157 (p < 0.001), while family functioning (β = –0.746, p < 0.001) and family setting (β = –0.733, p < 0.001) emerged as even more powerful negative predictors of parenting stress. The size of these family-level coefficients dwarfed the contribution of parenting style, reinforcing the study’s central message: the systemic properties of the family—how well members communicate, adapt to change, and support one another—carry more statistical weight in explaining stress than the individual manner in which parents discipline and interact with their children.

Perhaps the most intriguing finding, and the one most likely to spark debate among developmental scientists, is a statistical phenomenon known as a suppression effect. Parenting efficacy—the confidence a parent feels in their own ability to manage caregiving demands—did not behave as a straightforward predictor in the initial models. Only after the researchers accounted for the family-level variables did parenting efficacy emerge as a significant positive predictor of parenting stress, with coefficients ranging from β = 0.097 to 0.182 (p < 0.01). In suppression, the relationship between two variables is masked or even reversed until a third variable is controlled. Here, the implication is that the association between a parent’s sense of competence and their stress cannot be understood in isolation; it is entangled with the broader family context in ways that simple bivariate analyses would completely obscure.

This suppression finding carries real conceptual weight. A large body of prior research, including systematic reviews by Albanese and colleagues and Fang and colleagues, has portrayed parental self-efficacy as a protective factor associated with better parent and child well-being. Studies of parents of children with autism in China have similarly positioned self-efficacy as a mediator between child symptom severity and parental stress. The new results do not overturn that literature, but they complicate it: whether efficacy appears protective, irrelevant, or even paradoxically associated with stress may depend on which other family variables are held constant. For clinicians, the practical takeaway is that boosting a parent’s confidence without addressing family functioning may yield fragile or unpredictable gains, whereas interventions that strengthen cohesion, adaptability, and communication could shift the entire emotional economy of the household.

The study’s design, however, imposes important limits on interpretation. As a cross-sectional survey using convenience sampling, it captures a single moment in time and a self-selected group of parents, which means the direction of causality remains unknown. Does a well-functioning family reduce parenting stress, or do less stressed parents create better-functioning families? The authors themselves are explicit on this point, calling for longitudinal studies to clarify the temporal and directional relationships among these factors. Transactional models of development, notably articulated by Arnold Sameroff, would predict exactly the kind of bidirectional feedback the cross-sectional data cannot disentangle: children shape parents, parents shape families, and families shape the stress that parents carry back into their interactions with their children.

Even with those caveats, the research lands at a moment of growing global attention to caregiver burden in neurodevelopmental disorders. From studies of autism caregiving in Ghana to path analyses of maternal burnout in Poland and care-burden research in Mongolia, an international literature is converging on the conclusion that family-level variables—functioning, cohesion, adaptability, and social support—are central to caregiver well-being. The Chinese study adds rigorous quantitative texture to that consensus, showing effect sizes that are unusually large for psychosocial research and a methodological caution about suppression effects that other teams would do well to heed. For the millions of families navigating life with a child whose brain develops along a different trajectory, the message is both sobering and hopeful: the weight of parenting stress is not carried by parents alone, and the family as a whole may be the most powerful lever available for lifting it.

Subject of Research: Associations between family dynamics and parenting experiences among parents of children with neurodevelopmental disorders

Article Title: Parenting Experience and Family Dynamics Among Parents of Children With Neurodevelopmental Disorders: A Cross-Sectional Study

Article References: Parenting Experience and Family Dynamics Among Parents of Children With Neurodevelopmental Disorders: A Cross-Sectional Study. (n.d.). https://doi.org/10.1007/s10803-026-07502-1

Image Credits: AI Generated

DOI: 10.1007/s10803-026-07502-1

Keywords: neurodevelopmental disorders, parenting stress, family functioning, parenting efficacy, autism spectrum disorder, ADHD, parenting style, family cohesion, cross-sectional study, caregiver burden, hierarchical regression, suppression effect

The research team set out with a straightforward question: is there a measurable association between climate change anxiety and future anxiety among nursing students? To answer it, they surveyed the nursing student body of a public university in southeastern Türkiye, a population of 372 students. Using quota sampling to ensure that the sample reflected the structure of the student body, they recruited 301 participants, a response rate of 80.91 percent that lends the dataset considerable credibility for a single-institution study. Data collection ran from December 18, 2025 to January 14, 2026, and the analysis was carried out in Jamovi, version 2.5.4.0, a widely used open-source statistical platform.

The headline result is a positive, statistically significant, but weak correlation between climate change anxiety and overall future anxiety, with a Spearman rank correlation coefficient of rs = 0.163 and a p-value of 0.004. In plain terms, students who scored higher on the Climate Change Anxiety Scale tended to score higher on the Future Anxiety Scale, but the relationship explains only a small share of the individual differences in future anxiety. That weakness matters scientifically. It suggests that climate-related worry is one thread in a larger fabric of youthful uncertainty rather than a dominant driver, a nuance that distinguishes this study from more alarmist popular narratives about climate distress.

The authors went beyond a simple correlation by building a hierarchical regression model, a technique that allows researchers to see how much explanatory power a new variable adds after existing predictors are accounted for. Sociodemographic variables alone explained 11.8 percent of the variance in future anxiety. When climate change anxiety was added to the model, the explained variance rose to 15.6 percent, a statistically significant increment of 3.8 percent (ΔR² = 0.038, p < 0.001). After controlling for the sociodemographic factors, climate change anxiety remained positively associated with future anxiety, with an unstandardized coefficient of B = 0.14, a standardized coefficient of β = 0.199, and p < 0.001. The pattern indicates a genuine, independent contribution of climate worry to how these students anticipate their futures.

Two secondary findings add texture to the picture. First, students who had previously heard a definition of climate change reported lower climate change anxiety scores, yet higher hopelessness about the future. The counterintuitive pairing hints at a possible psychological dynamic: familiarity with the concept may demystify it and reduce acute anxiety, while simultaneously confronting students with the scale of the problem, deepening a broader sense of pessimism. The study reports this difference as statistically significant at p < 0.05, though as a cross-sectional design it cannot establish which direction, if any, the influence runs.

Second, the researchers found that students who had not chosen nursing willingly scored significantly higher on both overall future anxiety and fear of the future, with p < 0.001. This result resonates with a well-established literature on vocational fit: people who enter a profession through external pressure or constrained options tend to carry more uncertainty about where that path leads. For nursing educators, it flags an identifiable subgroup of students who may benefit from targeted counseling and career mentoring, quite apart from any climate-related concerns.

The methodological scaffolding of the study deserves attention. The instruments at its core were the Climate Change Anxiety Scale (CCAS) and the Future Anxiety Scale (FAS), validated questionnaires designed to capture cognitive and emotional dimensions of each construct. The authors checked for multicollinearity using variance inflation factors (VIF), a standard diagnostic that ensures predictor variables in a regression are not so highly intercorrelated that their individual coefficients become unstable. Ethical oversight was thorough: approval came from the Mardin Artuklu University Non-Invasive Clinical Research Ethics Committee on December 9, 2025 (reference 2025/12-1), with institutional permission from the Faculty of Health Sciences dated December 17, 2025. Participation was voluntary and anonymous, students were told that withdrawal carried no academic or institutional penalty, and the protocol followed the Declaration of Helsinki.

Why should the general public care about the inner weather of nursing students? The answer lies in workforce psychology. Nurses form the largest segment of the health workforce, and they will be on the front lines of climate-sensitive health impacts, from heat-related illness to the shifting geography of infectious disease. If a measurable fraction of their anticipatory distress is tied to climate change, then psychological preparedness for that reality becomes part of professional preparedness. The authors argue that nursing education programs should include more content on climate change and environmental sustainability, and that educational and counseling programs should be developed to help students cope with the psychological implications of these issues. In effect, they are proposing that climate literacy and emotional support be woven into the same curriculum.

The study’s limitations are those inherent to its design. A cross-sectional survey captures a single moment in time, so it can establish association but not causation; it cannot say whether climate anxiety breeds future anxiety, whether general pessimism colors both, or whether some third factor drives the link. The sample, while robust in size and response rate, comes from a single university in one region of Türkiye, which limits generalization to nursing students elsewhere. The weak correlation coefficient also cautions against overreading the effect: climate anxiety is a contributor to future anxiety in this population, not its master variable. The research received no specific funding, and the authors declare no competing interests, facts that strengthen confidence in the independence of the work.

Even with those caveats, the study lands at a culturally resonant moment. Surveys around the world have documented rising eco-anxiety among young people, the generation that will live longest with the consequences of today’s emissions. What this research adds is specificity: a quantified, controlled estimate of how much climate worry contributes to future dread among students training for one of society’s most essential professions. The 3.8 percent of additional explained variance is modest, but modest effects aggregated across millions of students and workers can shape institutions. If nursing schools heed the recommendation to pair climate content with psychological support, the study may prove less notable for its statistics than for its timing, arriving just as educators begin to treat the mental health of the climate generation as a core professional responsibility rather than an afterthought.

Subject of Research: The association between climate change anxiety and future anxiety among nursing students

Article Title: The association between climate change anxiety and future anxiety among nursing students: a cross-sectional study

Article References: Butun, A., & Efe, S. (2026). The association between climate change anxiety and future anxiety among nursing students: a cross-sectional study. BMC Nursing. https://doi.org/10.1186/s12912-026-05442-w

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05442-w

Keywords: climate change anxiety, future anxiety, nursing students, nursing education, mental health, cross-sectional study, environmental psychology, eco-anxiety, Türkiye, hierarchical regression, BMC Nursing, health workforce

The research team, led by Hong Wu, Quzhi Liu, and colleagues at Hohai University in Nanjing, designed a cross-sectional online survey around two parallel 11-item experience scales. Each item probed a distinct dimension of perceived support quality: acceptance, understanding, goal alignment, collaboration, professional competence, response efficiency, safety and privacy, trust, reduced concern about being judged, willingness for deep self-disclosure, and disclosure of negative emotions. Because every participant rated both modalities on identical items, the design enabled paired statistical comparisons that control for the stable personality traits and life circumstances each individual brings to any evaluation. This within-person approach matters enormously in this field, because people who choose to use chatbots may differ systematically from people who seek therapy, and those pre-existing differences can masquerade as modality effects in cruder between-group studies.

The statistical machinery behind the study was deliberately layered. The primary analysis used a paired-samples t test on a 10-item composite score, constructed after the researchers discovered that the response-efficiency item was not strictly measurement-equivalent across the two modalities, meaning that a chatbot’s instant reply and a therapist’s considered response may simply not measure the same underlying quality. To guard against distortion from this problematic item, the team removed it from both modality scores and re-ran the comparison. They also applied paired Wilcoxon signed-rank tests with Monte Carlo two-tailed p values and Holm correction to the item-level data, a procedure that controls the inflated risk of false positives when many comparisons are tested simultaneously. Finally, a repeated-measures linear mixed-effects model served as a sensitivity analysis, explicitly modeling the within-person paired structure and testing whether the size of the modality difference varied according to individual characteristics such as attachment style.

The headline finding was a small but statistically robust overall advantage for AI-based support. On the 10-item composite, AI support scored a mean of 57.77 with a standard deviation of 6.55, while human counseling scored 56.80 with a standard deviation of 6.75. The mean difference, calculated as human minus AI, was −0.97 points, with a 95 percent confidence interval spanning −1.73 to −0.21, a paired t value of −2.53 on 232 degrees of freedom, and a p value of .012. The standardized effect size was modest, dz = 0.17, which the researchers emphasize is a small difference. Yet its persistence after the potentially non-equivalent response-efficiency item was excluded suggests the pattern is not merely an artifact of comparing a chatbot’s instant replies with a therapist’s slower turnaround. At the item level, AI support received higher ratings on five exploratory indicators, while human counseling won on exactly two: mutual understanding and professional competence.

That two-item advantage for human counselors is arguably the most psychologically meaningful part of the results. Mutual understanding and professional competence are precisely the qualities that define the therapeutic relationship in classical accounts of counseling, and the study suggests they remain the territory where human practitioners are perceived to excel, even among people who also use and generally rate AI support favorably. Conversely, the domains where AI scored higher map onto what the researchers describe as low-threshold and low-social-threat experiences. Talking to a chatbot appears to reduce the fear of being judged, makes deep self-disclosure feel safer, and lowers the barrier to seeking support in the first place. For people who find the prospect of sitting across from a professional intimidating, a machine that never sighs, never frowns, and never files a clinical note about your worst thoughts may feel like a genuinely safer opening move.

Attachment theory provided the study’s central individual-difference framework, and the regression results revealed a coherent pattern. Attachment anxiety, characterized by a heightened need for reassurance and fear of rejection, positively predicted perceived experience quality in both modalities, meaning anxiously attached participants rated both AI support and human counseling more favorably. Attachment avoidance, characterized by discomfort with closeness and interdependence, negatively predicted both outcomes, so avoidantly attached participants rated both forms of support less favorably. In other words, the same relational dispositions color how people experience support whether it comes from a person or a machine, suggesting that chatbots do not escape the attachment dynamics that shape human relationships. Notably, specialized mental health and therapy chatbot use was associated with higher AI-experience scores, while associations involving shorter AI-use duration were less consistent, hinting that purpose-built tools may deliver a better experience than general-purpose assistants pressed into therapeutic duty.

The mixed-effects sensitivity analysis added a subtler layer to the attachment findings. The interaction between modality and attachment avoidance was statistically significant, indicating that the relative gap between AI-based support and human counseling was not uniform across participants but varied according to how avoidant they were in close relationships. Although the study’s published summary does not detail the direction of this interaction, its existence implies that attachment avoidance may shape which modality feels more comfortable, a possibility with direct clinical implications for matching people to support formats. Meanwhile, the hierarchical regression on the human-minus-AI difference score showed improved model fit after the attachment variables were added, but the final full model was not significant at the omnibus level, so the researchers treat the difference-score analysis as suggestive rather than conclusive.

The authors are unusually explicit about the limits of their evidence, and these caveats deserve as much attention as the findings. The design was cross-sectional and entirely self-report, so the data capture perceived experiences rather than objectively measured therapeutic outcomes, and no causal claims about which modality actually helps more can be sustained. The distributions showed restricted upper-end variability, with medians generally high and often identical across modalities, which compresses the statistical room to detect differences. The AI tools participants reported using were heterogeneous, spanning whatever chatbots they happened to try, and the 11-item experience indicators were newly developed for this study and remain exploratory rather than validated instruments. The researchers also caution that the sensitivity analysis relied on a composite score derived from ordinal item ratings, a measurement choice that warrants care when interpreting the small mean difference that survived.

What the study ultimately delivers is a differentiated map rather than a verdict. Among dual users, perceived experiences differed by domain rather than showing a uniform preference for either machines or humans. AI-based psychological support appears to excel as a low-barrier, judgment-free channel that encourages disclosure, while human counseling retains perceived advantages in mutual understanding and professional competence, the relational core of formal therapy. For clinicians, policymakers, and the rapidly growing industry building mental health chatbots, the implication is that the two modalities may be complements rather than competitors: AI could serve as an accessible first step or an adjunct between sessions, while human professionals remain the reference point for depth and expertise. As conversational AI becomes more capable and more widely adopted, studies that compare experiences within the same individuals, as this one does, will be essential for understanding not just whether people use these tools, but how the tools make them feel, and for whom they work best.

Subject of Research: Perceived experiences of AI-based psychological support compared with human counseling among adults who have used both modalities

Article Title: Differences in perceived experiences of AI-based versus human psychological support among dual users: paired comparisons, hierarchical regression, and repeated-measures sensitivity analysis

Article References: Wu, H., Liu, Q., Shi, Y., Yang, M., Zhang, J., & Zhang, Y. (2026). Differences in perceived experiences of AI-based versus human psychological support among dual users: paired comparisons, hierarchical regression, and repeated-measures sensitivity analysis. BMC Psychology. https://doi.org/10.1186/s40359-026-05676-y

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05676-y

Keywords: conversational AI, mental health chatbots, human counseling, attachment theory, self-disclosure, user experience, paired comparison, hierarchical regression, mixed-effects model, psychological support, trust, BMC Psychology

The research team, led by Koshiro Inoue of Health Sciences University of Hokkaido, took advantage of a natural experiment hiding in the Japanese racing calendar. They surveyed finishers at the Tsukuba Marathon in November 2022 and 2023, and at the Hokkaido Marathon in August 2023. According to data from the Japan Meteorological Agency, the mean air temperatures during those races were 6.5, 20.6, and 28.2 degrees Celsius respectively, with estimated wet-bulb globe temperatures of 11.2, 22.2, and 31.5 degrees. In the classification scheme of earlier endurance research, those conditions correspond roughly to natural, moderate heat, and extreme heat environments, giving the scientists three distinct thermal snapshots of the same 42.195-kilometre distance.

In total, 1,938 male runners provided complete datasets, well above the minimum of 1,022 required by the team’s a priori power analysis. Each participant completed an online questionnaire before racing, reporting personal best marathon time over the preceding one to three years, age, years of running experience, height and weight, and detailed training habits over the previous three months, including weekly running distance, the longest single run, and weekly running frequency. Official net finish times were then retrieved from race websites. Crucially, the runners’ profiles differed between events: those who chose the hot Hokkaido race tended to have slower personal bests, higher body mass index, longer running careers, lower weekly mileage, and less frequent training than their counterparts at the cooler Tsukuba events, a pattern the researchers had to account for statistically.

The analytical centrepiece was a hierarchical multiple regression with interaction terms, a technique that allows scientists to ask not just whether a variable predicts finish time, but whether its predictive power changes across conditions. The baseline model, containing only the runner characteristics, explained about 71 percent of the variance in finish time. Adding the race event, which served as a proxy for temperature, boosted explained variance by a striking 10.7 percent, and the regression coefficients revealed a stepwise slowing from the coolest to the hottest race. Average finish times climbed from 223 minutes in the cool Tsukuba race of 2023, to 234 minutes in the milder 2022 edition, to 281 minutes in the August heat of Hokkaido.

But the headline finding lay in the third model, where temperature significantly moderated the relationships between finish time and four specific variables: personal best time, age, running experience, and body mass index. The associations between training volume, longest run, or training frequency and finish time, by contrast, remained stable across all three thermal conditions. In other words, heat selectively rewires the importance of who the runner is, while leaving the benefits of what the runner does largely intact.

Some of the individual interactions were genuinely counterintuitive. The link between personal best and finish time, strongly positive in both cool races, became significantly flatter in the extreme heat of Hokkaido. That pattern supports the minority view in the literature, advanced by economists Gasparetto and Nesseler, that faster runners suffer proportionally greater declines in hot conditions, perhaps because they run at higher intensities and push closer to their physiological limits, while slower runners, spending longer on the course, were already expected to fare worse. The new data suggest that under extreme heat, the usual hierarchy of ability is compressed, and a fast runner may lose more time to the mercury than a slower one.

Age told a more predictable but sobering story. Older runners were slower at every temperature, but the age-related penalty grew significantly steeper in the two warmer races. This aligns with physiological evidence that thermoregulation, particularly sweating and skin blood flow responses, declines with age, and with large-scale analyses of the New York City Marathon showing that heat amplifies age-related slowing in men between 30 and 64. Body mass index followed a similar trajectory: at the optimal cool temperature it bore no significant relationship to finish time, but its influence emerged and strengthened progressively as temperatures rose, consistent with the known advantages of smaller body size for heat dissipation during distance running and with epidemiological links between higher BMI and exertional heat illness risk.

Perhaps the most curious result concerned running experience. Years of training had no bearing on finish time in the cool race, was associated with slower times in the moderate heat of 2022, and, remarkably, predicted faster finishes in the extreme heat of Hokkaido. The authors suggest that long-accumulated adaptations and racing savvy may become decisive assets precisely when conditions are harshest, making veteran experience a potential key to surviving summer marathons. Meanwhile, the training variables behaved as conventional wisdom expects: greater weekly distance and higher training frequency were reliably associated with faster finishes, and, importantly, those benefits were conferred independently of temperature, implying that the performance payoff of training volume survives even as the thermometer climbs.

The study’s authors are careful about its limits. Participants were predominantly Japanese male recreational runners who volunteered for the survey, the hot condition rested on a single August race at one venue, and self-reported measures of height, weight, and training are known to carry small biases. Course differences between events cannot be fully excluded either. Still, the statistical framework was robust, the sample comfortably exceeded power requirements, and the central conclusion is hard to escape: temperature is not merely another variable in the marathon equation but a structural determinant that alters the weight of the other predictors.

The practical implications arrive at an opportune moment. Climate analyses suggest that opportunities to race in the optimal 3 to 11 degree Celsius range for recreational runners are shrinking, with the probability of ideal conditions at the Tokyo Marathon projected to fall over the coming decades. As more amateur runners face warmer start lines, the new findings point to concrete targets: body mass index, a modifiable factor, becomes a more meaningful lever in the heat, while experience can be deliberately banked. Age, irreversible, demands respect and adjusted expectations. For coaches and runners drafting training plans for the hot races of the future, the message is that the old prediction formulas, built in temperate conditions, may need a thermal correction.

Subject of Research: How air temperature modulates the physiological and training determinants of marathon finish time in male recreational runners

Article Title: Temperature‐driven modulation of factors influencing full‐Marathon time in male recreational runners

Article References: Inoue, K., Yamaguchi, A., Nabekura, Y., Ishihara, T., & Fukuie, T. (2026). Temperature‐driven modulation of factors influencing full‐Marathon time in male recreational runners. Physiological Reports, 14(17), Article e71096. https://doi.org/10.14814/phy2.71096

Image Credits: AI Generated

DOI: 10.14814/phy2.71096

Keywords: marathon, heat stress, thermoregulation, recreational runners, body mass index, running performance, aging athletes, training volume, wet-bulb globe temperature, climate change, exercise physiology, hierarchical regression

The research team, led by Ana H. Alarcón Aguilar and colleagues, framed their work around a growing international consensus that well-being is not a luxury but a core component of health. Since the World Health Organization defined health in 1948 as a state of complete physical, mental and social well-being, researchers have accumulated evidence that people with high well-being live longer, recover faster and develop fewer chronic conditions. Meta-analyses have linked positive psychological states to lower cardiovascular risk, slower illness progression and reduced mortality, making well-being both an outcome worth studying and a potential lever for public health policy. In an era when governments are scrambling to cope with ageing populations, understanding what sustains mental health in old age has become a strategic priority enshrined in the United Nations 2030 Agenda.

Spain presents a particularly urgent case. People over 65 currently make up 20.1 percent of the Spanish population, a share projected to climb to roughly 30.4 percent by around 2050. Data from the European Quality of Life Survey, which has tracked well-being across the continent since 2003 using the same instrument employed in the new study, show that Spanish well-being declines with age, and that older Spanish adults score lower than their Nordic counterparts while resembling the pattern seen across the Mediterranean and Balkan regions. Within Spain, women consistently report lower mental well-being than men, a gap the new study reproduces in detail.

The participants, all residents of Castelló de la Plana, completed a battery of validated questionnaires administered by three experienced psychologists over two weeks. Psychological well-being was measured with the WHO-5 Well-Being Index, a five-item scale asking how often over the previous two weeks respondents felt cheerful and in good spirits, calm and relaxed, active and vigorous, fresh and rested on waking, and that daily life was filled with interesting things. Raw scores from zero to 25 are multiplied by four to yield a percentage, with scores below 50 traditionally flagged as a screening threshold for depression. Life satisfaction was assessed with Diener’s Satisfaction with Life Scale, loneliness with the six-item Spanish version of the De Jong Gierveld Loneliness Scale, and physical health with the physical health dimension of the WHOQOL-BREF quality-of-life instrument, covering daily activities, energy, mobility, pain, sleep and work capacity.

The headline result was a mean WHO-5 score of 60.21, with a standard deviation of 18.80, indicating moderate overall well-being but with substantial individual variation. Women averaged 57.66 while men averaged 64.42, a statistically significant difference. All instruments showed satisfactory internal consistency, with Cronbach’s alpha values ranging from 0.70 for loneliness to 0.81 for life satisfaction, giving the team confidence that the scales were measuring stable, coherent constructs in this older Spanish sample.

The analytical centerpiece was a hierarchical multiple linear regression, a technique that enters blocks of predictor variables in sequence to reveal how much explanatory power each adds. The first block contained sociodemographic variables: gender, age, living alone, marital status, education and employment. It explained less than three percent of the variance in well-being. Adding life satisfaction raised the explained variance to 35 percent. Physical health pushed it to 47 percent, and loneliness completed the model at 49 percent. The final model was highly significant, with an F-statistic of 22.56 and a statistical power of 1.00, and diagnostic checks confirmed the assumptions of homoscedasticity, normally distributed residuals and independent errors, with a Durbin-Watson statistic of 1.94.

Four predictors emerged as significant in the final model. Being male was associated with higher well-being, with a coefficient of minus 4.86 for the female category. Each additional point of life satisfaction added 2.04 points of well-being, and each point of better perceived physical health added 1.67. Loneliness worked in the opposite direction, subtracting 1.87 points per unit of perceived loneliness. Notably, age, living alone, marital status, educational level and employment status all failed to reach significance, a pattern the authors link to prior international work by Geerling and Diener showing that demographic predictors exert small or very small effects on older people’s well-being compared with psychosocial factors such as perceived social support.

The gender gap deserves particular attention. The authors note that women’s lower well-being is consistent with European survey data and with literature showing that women report more depressive symptoms, a condition strongly and negatively correlated with well-being. Yet they also raise a methodological caveat: men may systematically underreport depressive symptoms because of social desirability bias, meaning the true gender difference could be either real or inflated by measurement artifacts. Either way, the study argues that older women should be a priority target for well-being interventions, especially those with lower educational attainment, who previous research identifies as being at elevated risk.

The study’s limitations temper its conclusions but do not undermine its central message. The cross-sectional design captures associations, not causal arrows, and the authors emphasize that the relationships between loneliness, health, life satisfaction and well-being are likely bidirectional: lonely people become less healthy, and less healthy people become lonelier. The convenience sample, recruited by approaching people over 55 in the streets of Castelló, was predominantly female, retired and highly educated, limiting generalizability to Spain’s older population as a whole. The authors also flag the absence of income, frailty, self-perceptions of ageing and self-compassion from the model, all of which prior studies suggest could add explanatory power, and they call for longitudinal designs and probability sampling in future work.

What the study loses in causal certainty it gains in practical direction. Because life satisfaction, physical health and loneliness are all modifiable, they are actionable targets in a way that age and gender are not. The authors point to community-based programmes that strengthen intergenerational ties, adapted physical activity initiatives that improve both mobility and mood, and digital literacy training that helps older adults maintain meaningful online connections. Interventions built on self-compassion and positive self-perceptions of ageing have also been shown to reduce depressive symptoms and may even protect against cognitive decline. With Spain’s over-65 population swelling toward nearly a third of the country, and with the study’s well-being means slightly below the European survey benchmarks of 63 in 2016 and 65.4 in 2012, the message for policymakers is clear: the cheapest and most effective investments in healthy ageing may lie not in demographics but in connection, health and the way older people evaluate their own lives.

Subject of Research: Predictors of psychological well-being among Spanish older adults, including loneliness, physical health, life satisfaction and gender

Article Title: Psychological Well-Being in Spanish Older Adults

Article References: Aguilar, A. H. A., Hornero, A. C., Riera, A. J. L., Hidalgo, M. R., & Miedes, A. C. (2026). Psychological Well-Being in Spanish Older Adults. Trends in Psychology. https://doi.org/10.1007/s43076-026-00521-y

Image Credits: AI Generated

DOI: 10.1007/s43076-026-00521-y

Keywords: psychological well-being, older adults, loneliness, life satisfaction, physical health, WHO-5, ageing, Spain, gender differences, hierarchical regression, mental health, healthy ageing