The research team, led by Jiayun Wang of Henan University together with colleagues from Hubei Normal University, Hainan Medical University, and Yan’an People’s Hospital, set out to address a persistent gap in suicide prevention within prisons. Existing interventions aimed at reducing suicidal ideation among inmates, the authors note, have produced unsatisfactory results, largely because they have overlooked the interplay of internal psychological factors and external environmental stressors. Rather than treating bullying, rumination, depression, and suicidal thoughts as isolated problems, the team built a theoretical model that connects them in a single causal sequence, with prison bullying as the starting point and suicidal ideation as the endpoint.

To test the model, the researchers surveyed inmates using four validated instruments measuring prison bullying, suicidal ideation, rumination, and depression. The final dataset comprised 374 valid responses. Statistical analysis revealed that prison bullying had a positive predictive effect on suicidal ideation, meaning that inmates who experienced more bullying reported more frequent thoughts of suicide. Crucially, the analysis also uncovered the mechanisms behind that association. Rumination alone mediated the relationship between bullying and suicidal thoughts, and depression alone did so as well. But the strongest theoretical insight came from the chain mediation pathway: bullying first intensified rumination, rumination then worsened depression, and depression ultimately elevated suicidal ideation.

The stress-sensitization model of suicide provides the theoretical backbone for these findings. According to this framework, individuals with histories of adversity or heightened stress sensitivity respond to new stressors with disproportionately strong psychological reactions. Bullying inside prison constitutes exactly the kind of chronic, inescapable stressor that can sensitize vulnerable inmates. Each episode of victimization is not an isolated event but an accumulating burden, and the model predicts that such burdens interact with cognitive vulnerabilities, in this case ruminative thought patterns, to push individuals closer to the psychological tipping point at which suicidal thoughts emerge.

Rumination, as defined in the psychological literature, is the tendency to repetitively focus attention on one’s distress, its causes, and its consequences, without moving toward active problem solving. Decades of research, beginning with Susan Nolen-Hoeksema’s foundational work on response styles, have established rumination as a robust risk factor for both depression and suicidal thinking. For an inmate who has been humiliated, threatened, or physically harmed by peers, rumination offers no escape: locked in a cell, the victim mentally replays the humiliation, anticipates the next confrontation, and interrogates his or her own worth. The new findings indicate that this cognitive loop is not merely a symptom of distress but an active conduit through which bullying converts into depressive illness and, ultimately, into thoughts of suicide.

Depression, in turn, is one of the most reliably documented correlates of suicidal ideation across populations, and prisoners are no exception. Prior systematic reviews, including a widely cited meta-analysis published in The Lancet Public Health, have catalogued the individual, situational, and institutional risk factors for suicide in prisons, and affective illness ranks among the most prominent. The present study adds a mechanistic layer to that picture by showing that depression does not arise in a vacuum. It is partly manufactured by the social environment of the prison itself, through the daily reality of bullying and the ruminative processing that victimization provokes. In other words, the prison environment is not merely a backdrop to inmate mental health; it is an active producer of the risk.

The implications for prison administration are direct and, the authors argue, actionable. If suicidal ideation among inmates is sustained by a chain running from bullying through rumination to depression, then interventions can target multiple points along that chain. The first and most obvious step is curbing prison bullying itself, through surveillance, staff training, clear reporting channels, and consistent sanctions for perpetrators. Reducing the incidence of victimization removes the trigger that sets the pathological sequence in motion. The researchers also emphasize psychological interventions aimed at the intermediate links: programs that reduce ruminative thinking, such as rumination-focused cognitive behavioral therapy, and treatments that alleviate depressive symptoms could each interrupt the pathway before it reaches suicidal ideation.

This multi-pronged approach matters because interrupting a single link may not be sufficient. Even in well-managed institutions, some bullying will occur, and some inmates will ruminate. The chain mediation model implies that a prison system that successfully suppresses bullying but ignores ruminative coping may still see elevated suicide risk, and conversely, that therapy addressing rumination and depression can provide a safety net even when environmental control falls short. The authors conclude that to better alleviate inmates’ suicidal ideation, prison administrators should focus on curbing prison bullying, reducing inmates’ rumination, and decreasing their depression, a three-pronged strategy that mirrors the structure of the statistical model itself.

The study also situates itself within a growing international literature on victimization and suicide. Meta-analyses of bullying victimization among students in Africa, longitudinal work on adolescents in China, and studies of cyberbullying among youth in Malaysia have all documented links between being bullied and contemplating suicide, with depression and related psychological states frequently identified as mediators. Research on juvenile offenders in Zambia and on inmates in Ethiopia has extended these concerns to correctional populations. What distinguishes the new Chinese study is its explicit chain-mediation design within an adult prison sample, offering a step-by-step psychological account of how an environmental stressor becomes a suicidal outcome, and grounding that account in a respected theoretical model of suicide.

Certain limitations are worth bearing in mind. The data are cross-sectional and self-reported, collected through scales administered to inmates, which means the study can establish predictive associations consistent with the proposed chain but cannot definitively prove causation or track how the pathway unfolds over time within individuals. The researchers also note that datasets were not publicly released, in order to protect the confidentiality of inmates’ personal information, with requests directed to the corresponding author. The study received ethical approval from the Ethics Committee of Hubei Normal University College of Arts and Sciences, informed consent was obtained from all participants, and the work was funded by the General Project of Education Science Planning in Hubei Province and the Special Task Project of Philosophy and Social Sciences Research in Hubei Province.

Even with those caveats, the findings arrive at a moment when suicide in prisons commands growing attention from criminologists, psychiatrists, and policymakers. Reducing suicidal ideation among inmates, the authors write, is crucial to public safety, and the current effectiveness of interventions remains unsatisfactory precisely because relevant internal and external factors have been neglected. By naming rumination and depression as the measurable bridges between bullying and suicidal thought, the study gives prison systems concrete, testable targets. A prison that treats mental health as inseparable from its social climate, that monitors both overt aggression and the silent cognitive aftermath of victimization, may be far better positioned to keep its most vulnerable population alive. The chain from bullying to suicidal ideation is psychological, but each of its links, the new research suggests, can be broken.

Subject of Research: Chain mediation of rumination and depression linking prison bullying to suicidal ideation among inmates

Article Title: Prison bullying and suicidal ideation: Chain mediation of rumination and depression

Article References: Prison bullying and suicidal ideation: Chain mediation of rumination and depression. (n.d.). https://doi.org/10.1007/s12144-026-10084-x

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10084-x

Keywords: prison bullying, suicidal ideation, rumination, depression, inmates, chain mediation, stress-sensitization model, suicide prevention, mental health, criminology, China, Current Psychology

The instrument in question is the Children’s Response Styles Questionnaire, or CRSQ, a 25-item self-report scale adapted from the adult Response Styles Questionnaire. Developed originally in Canada by Abela and colleagues, the CRSQ asks young people what they typically do and think when they feel sad, with each item rated on a four-point scale from ‘Almost never’ to ‘Almost always’. Items such as ‘Think about how alone you feel’ tap into rumination, while items such as ‘Watch TV or play video games so you don’t think about how sad you are’ capture distraction and problem-solving. Although the questionnaire has been validated in samples from the United States, Turkey, Hong Kong and its native Canada, no one had systematically tested whether it works as intended in British adolescents — a gap that matters, because words and concepts can shift meaning across cultures even within the same language.

To close that gap, researchers led by Olivia Adams of the University of Oxford, together with Patrick Smith of King’s College London, Bao Sheng Loe of the University of Cambridge, and Felicity Waite and Eleanor Leigh of Oxford, pooled data from two school-based surveys conducted in South London. Of 763 young people aged 11 to 16 who took part, 615 provided complete responses to the CRSQ and formed the analytical sample. The group had a mean age of 13.32 years and was composed of 421 boys, 325 girls and 17 participants who did not report their gender. Notably, the sample was ethnically diverse: among those recording ethnicity in the first dataset, more than half identified as Black, Black British, Black Welsh, Caribbean or African — a proportion far exceeding the 4.2 percent recorded in the 2021 England and Wales census — making the study a valuable test of the measure in a population often underrepresented in psychometric research.

The analytical strategy was thorough. Because the questionnaire’s items are answered on an ordinal four-point scale, the team used weighted least squares estimation within a confirmatory factor analysis framework, testing whether the data supported the two-factor structure suggested by earlier studies: one factor for rumination and a combined factor for distraction and problem-solving, abbreviated DPS. Before pooling the two school datasets, the researchers confirmed through multigroup analysis that the questionnaire measured the same constructs in both. Bartlett’s test of sphericity and the Kaiser-Meyer-Olkin index, which came in at a strikingly high 0.91, confirmed the data were well suited to factor analysis in the first place.

The initial two-factor model fit imperfectly, and the refinement process proved revealing. Five items were dropped, all of them from the DPS subscale: ‘Spend a lot of time on schoolwork’, ‘Do something you enjoy’, ‘Do something fun with a friend’, ‘Read a book or magazine’ and ‘Ask a friend, parent or teacher to help you solve your problem’. The researchers suggest a common thread: unlike most other items, these make no explicit reference to feeling sad or to an event that triggered sadness. A conscientious student, for instance, might spend a lot of time on schoolwork for reasons having nothing to do with mood, diluting the item’s connection to the underlying construct. After removing the weak items and allowing two help-seeking items to share correlated error terms, the final model achieved strong fit, with a Comparative Fit Index of 0.985 and a Root Mean Square Error of Approximation of 0.062.

Reliability figures reinforced the asymmetry between the two halves of the scale. The rumination subscale showed excellent internal consistency, with Cronbach’s alpha exceeding 0.9, while the DPS subscale, though still above the conventional 0.7 threshold, was noticeably weaker — unsurprising given that five of its items had been removed. The researchers are candid about the implication: future use of the CRSQ with adolescents may be best restricted to the rumination subscale alone, with any analyses involving the DPS treated as exploratory until the subscale’s structure can be replicated. This echoes earlier concerns that the distraction construct, inherited from the adult questionnaire, may be poorly operationalised, bundling together effective and ineffective coping strategies.

A central question for any questionnaire intended for diverse groups is whether it functions identically across them — the property psychometricians call measurement invariance. Using multiple-group confirmatory factor analysis for categorical data, the team compared boys and girls, and separately compared younger and older participants split at the median age of roughly 13.3 years. For age, full measurement invariance was achieved across configural, threshold, metric and scalar levels, meaning the questionnaire measures rumination the same way whether a respondent is 11 or 15. For gender, the scalar model initially faltered, but freeing thresholds for two items restored adequate fit, yielding partial invariance — sufficient, the authors note, for comparing mean scores between boys and girls without serious concern that the construct itself is being measured differently.

The invariance findings proved substantively interesting in their own right. Girls scored higher than boys on the rumination subscale, replicating a well-documented gender difference that emerges in adolescence and that previous research has linked to the widening depression gap between the sexes. Older participants also ruminated more than younger ones, a statistically significant difference consistent with the idea that rumination intensifies across the teenage years. Meanwhile, the two factors correlated modestly and positively with each other, a pattern the authors attribute to shared variance in mood-related responding rather than any meaningful overlap between dwelling and distraction.

Convergent validity — whether the questionnaire’s scores track related constructs as theory predicts — was examined against four established symptom measures: the Children’s Depression Inventory and the Multidimensional Anxiety Scale for Children in one dataset, and the Mood and Feelings Questionnaire and the Screen for Child Anxiety Related Disorders in the other. Rumination scores correlated moderately and positively with both depression and anxiety symptoms, and crucially, these correlations survived statistical controls. The link between rumination and anxiety remained significant after accounting for depression, and the link between rumination and depression remained significant after accounting for anxiety, with partial correlations of 0.36 and 0.45 respectively. This pattern supports the emerging view of rumination as a transdiagnostic process — a single cognitive habit that feeds into multiple forms of emotional distress rather than depression alone.

The study is not without limitations, which the authors enumerate with unusual thoroughness. The sample came from a single South London borough, so replication across more rural areas and the other UK nations is needed; ethnicity data were missing for one dataset; socioeconomic information was absent; and only binary gender was recorded. The cross-sectional design precludes test-retest and predictive validity checks, and no independent measure of rumination was available to strengthen convergent validity. The combination of two datasets, while statistically justified, means independent replication would be welcome. Most importantly, the sample was a community one, and given rumination’s proposed role as a target for both prevention and treatment, testing the measure in clinical populations — ideally alongside diagnostic interviews rather than self-report alone — is the natural next step.

Even so, the implications are considerable. Depression affects between seven and twenty-four percent of adolescents worldwide, raises the risk of adult depression nearly threefold, and undermines physical health and academic attainment. If repetitive negative thinking is indeed a modifiable mechanism in this cascade, then researchers and clinicians need instruments they can trust to detect it. This study provides the first UK-specific evidence that the CRSQ’s rumination subscale is both reliable and valid in British teenagers, invariant across age and largely invariant across gender, and meaningfully connected to the symptoms it should predict. The caution attached to the distraction and problem-solving subscale is itself a service to the field, steering future studies away from a component that may mislead. As the authors conclude, ensuring that measures are psychometrically robust is a quiet but essential foundation for the larger project of understanding — and eventually interrupting — the cognitive pathways that carry young people into depression.

Subject of Research: Psychometric validation of the Children's Response Styles Questionnaire for measuring adolescent rumination in UK youth

Article Title: Psychometric Validation of the Children's Response Styles Questionnaire in UK Adolescents

Article References: Adams, O., Smith, P., Loe, B. S., Waite, F., & Leigh, E. (2026). Psychometric Validation of the Children's Response Styles Questionnaire in UK Adolescents. Child Psychiatry & Human Development. https://doi.org/10.1007/s10578-026-02084-6

Image Credits: AI Generated

DOI: 10.1007/s10578-026-02084-6

Keywords: rumination, adolescent depression, psychometrics, Children's Response Styles Questionnaire, measurement invariance, UK adolescents, anxiety symptoms, Response Styles Theory, confirmatory factor analysis, mental health, repetitive negative thinking, questionnaire validation

Since Andrew Przybylski and colleagues first formalized the construct in 2013, fear of missing out has been defined by two features: a pervasive apprehension that others might be having rewarding experiences from which one is absent, and the desire to stay continually connected with what others are doing. The first feature is largely cognitive and emotional in character, resembling worry or repetitive negative thinking about social exclusion. The second is more behavioral, functioning much like a safety behavior—frequently checking social media and messaging apps to reduce anxiety about missing rewarding experiences. Researchers have labeled these dimensions “apprehension of missing out” and “constant connection desire,” and while they are conceptually and statistically related, they are increasingly understood as distinct constructs.

The distinction matters because the two dimensions, if truly separable, might respond to different interventions and predict different downstream behaviors. A purely emotional apprehension about exclusion might be expected to travel with mood disturbance, while a behavioral drive to remain connected might be expected to manifest in compulsive device checking. Whether the empirical data support this tidy division has, until recently, been unclear, since most studies have measured FOMO as a single total score and correlated it with outcomes in aggregate.

The study was led by Jon D. Elhai of the University of Toledo, working with Tali Gazit of Bar-Ilan University, Silvia Casale of the University of Florence, and Christian Montag of the University of Macau. Between January and December 2025, the team recruited 388 undergraduate students from Introductory Psychology courses at a medium-sized Midwestern US university. Participants completed a cross-sectional web survey hosted on Psychdata.com and received course research points for taking part. The university’s Institutional Review Board approved the study before data collection began, and all participants provided informed consent.

The researchers applied careful data-cleaning procedures to ensure the quality of their sample. From an initial 422 rows of data, they excluded 14 participants who provided substantial missing data, six duplicate responses, four overly fast completers who finished in under 215 seconds, six participants younger than 18, one participant flagged by longstring detection for giving 23 consecutive identical answers, and three participants who reported not using social media at all. The final sample averaged 20.06 years of age (SD = 4.18), was roughly two-thirds female (65.7%), and was predominantly Caucasian (69.8%), with Black, Asian, and Hispanic/Latino participants also represented. Most participants were freshmen, and most worked part-time or not at all.

Participants completed a battery of validated self-report measures. FOMO was assessed with the ten-item FOMO Scale, whose items the researchers mapped onto seven apprehension items and three connection desire items following procedures established in prior work. Problematic smartphone use was measured with the Smartphone Addiction Scale–Short Version, and problematic social media use with the Bergen Social Media Addiction Scale. Negative affectivity was captured through the depression and anxiety subscales of the Depression Anxiety Stress Scale–21, the brooding subscale of the Ruminative Responses Scale–10, and the Distress Tolerance Scale—which the team rescored so that higher values indicated worse distress tolerance, aligning the direction of all measures toward pathological responding. Internal consistency was strong across most scales, ranging from coefficient alpha 0.82 to 0.92, with one notable exception: the three-item connection desire subscale showed relatively low reliability (alpha = 0.60, omega = 0.62), a limitation the authors attribute to its brevity.

Analysis proceeded in two stages. After imputing small amounts of missing item-level data—only 0.63% of item values were missing, and the missingness was statistically consistent with data missing completely at random—the team ran confirmatory factor analyses in Mplus, treating questionnaire items as ordinal given their limited response options. They first tested a single-factor FOMO model against the two-factor apprehension/connection desire model, using chi-square difference testing to compare fit. They then built combined models pairing the two FOMO factors with each other construct, using Wald chi-square tests with parameter constraints to determine whether the two FOMO dimensions correlated differentially with problematic smartphone use, problematic social media use, depression, anxiety, brooding rumination, or distress tolerance. This two-step logic—establishing the dimensional structure before testing differential correlates—guards against drawing conclusions about distinct facets from a measure that may not in fact be multidimensional.

The psychometric results supported treating FOMO as two-dimensional, though the advantage was modest. The two-factor model fit significantly better than the single-factor model (χ² difference test p = 0.0007), but the improvement in fit was small—for example, a difference of only 0.002 in the comparative fit index. This echoes earlier work by Elhai and colleagues in 2025, which had found more robust incremental fit for the two-factor structure across American and Italian samples.

The central finding concerned problematic smartphone use. Using Wald chi-square tests, the researchers found that PSU severity correlated more strongly with FOMO’s connection desire factor (r = 0.600) than with its apprehension factor (r = 0.493), a statistically significant difference (p = 0.009). This replicated the earlier 2025 findings and supports the theoretical prediction that the behavioral, safety-behavior-like dimension of FOMO is the one most tightly bound to compulsive phone use. Problematic social media use, however, told a different story: it was equally related to both dimensions (r = 0.552 for apprehension; r = 0.600 for connection desire; p = 0.122), a departure from the earlier work that had found connection desire more strongly tied to PSMU as well.

The authors offer a possible explanation for this divergence that hinges on the device itself. Problematic smartphone use, by definition, involves the smartphone, a device uniquely characterized by instant push notifications—often social in nature—that interrupt daily activities and lure users back to their screens. Recent findings suggest FOMO may serve as a mechanism linking notification receipt to smartphone addiction, potentially creating a feedback loop in which connection desire drives smartphone use, which in turn intensifies FOMO. Consistent with this, participants in the current study reported especially high use of mobile-first platforms built around frequent social updates and push notifications: 93% used Instagram, 83% Snapchat, and 74% TikTok. The authors caution, however, that this platform interpretation is descriptive and exploratory, and that the data cannot establish causality.

Equally striking is what the study did not find. Despite the apprehension dimension’s explicitly cognitive and emotional character—which might suggest a special affinity with negative affect—both FOMO dimensions correlated equally with depression (r = 0.455 vs. 0.408), anxiety (r = 0.527 vs. 0.517), brooding rumination (r = 0.503 vs. 0.453), and distress intolerance (r = 0.497 vs. 0.537), with all Wald tests far from significance. By extending the equal-relationship pattern beyond depression and anxiety to rumination and distress tolerance, the study corroborates and broadens the earlier work of Elhai, Casale, and Bond. The authors suggest that apprehension and connection desire may function as cognitive/emotional and behavioral markers, respectively, of a broader negative affectivity dimension—a view consistent with prior research showing that people high in FOMO experienced greater stress and negative emotion during a real-world social media outage.

That outage finding is worth underscoring, because it offers rare real-world evidence rather than laboratory simulation. When platforms go dark, individuals high in FOMO cannot simply check more often to soothe their worry, and their distress spikes accordingly. Such results imply that the emotional core of FOMO is not incidental to its behavioral expression but inseparable from it—precisely the pattern the equal correlations with negative affectivity suggest.

The findings are framed within two theoretical traditions. Self-determination theory conceptualizes FOMO as arising from unmet social relatedness needs, with problematic internet use serving as a maladaptive attempt to satisfy belonging. The Interaction of Person-Affect-Cognition-Execution model, meanwhile, positions internet-related cognitions like FOMO as risk factors for problematic use, and predicts that the specific technology overused will reflect the nature of the underlying cognition—here, the socially driven connection desire aligning with the notification-saturated smartphone. The authors also note that severe negative affectivity is probably a risk factor for FOMO rather than the reverse, though bidirectional relations are likely, and short-term studies have shown FOMO prospectively driving negative mood.

The study carries important limitations. Its cross-sectional design precludes causal inference, and the authors call for longitudinal and experience-sampling research. The sample—Midwestern US undergraduates in introductory psychology—limits generalizability to other ages, cultures, and settings. All measures were self-report, with no structured diagnostic interviews and no objective smartphone or social media usage data. The two-factor FOMO model showed only minimal fit improvement over the single-factor model, and the connection desire subscale’s low internal consistency complicates interpretation. The team also modified the time-frames of several instruments—the BSMAS and DASS-21 among them—to maintain consistency across measures. Still, the data, survey protocol, and analysis code are publicly available in a Mendeley repository, supporting transparency and replication.

The broader implications are twofold. Clinically and conceptually, the results suggest that experiencing FOMO may have less to do with genuine social deficits and more to do with an underlying emotional vulnerability that saturates both of its dimensions. Practically, they point toward the design of interventions: if constant connection desire is the facet most implicated in problematic smartphone use, efforts to reduce compulsive phone behavior—such as managing notification exposure—may need to target the behavioral checking loop specifically, rather than the anxious apprehension that accompanies it. As smartphone notifications continue to fragment attention across mobile-first platforms, understanding which face of FOMO drives which behavior may prove essential to addressing problematic technology use at its roots.

Rumination is commonly described as dwelling on negative themes, but the study emphasizes its cognitive mechanism: when attention should move on, it fails to do so. That failure, known as impaired cognitive disengagement, means the mind continues to process the same negative cues even when the situation changes.

To investigate this, researchers examined how people with depression perform during tasks that require shifting attention away from emotionally salient material. Rather than only tracking how often individuals ruminate, the team analyzed how quickly and effectively participants could disengage from ongoing cognitive content. Participants who showed stronger rumination tendencies also demonstrated greater difficulty disengaging.

The work suggests that rumination may not simply reflect “thinking too much,” but rather a breakdown in adaptive control systems that normally help the brain update priorities. In this view, depression can bias the brain toward sustaining internal states, making it harder to switch away from negative interpretations.

Importantly, the authors link these cognitive signatures to the dynamics of attention-related networks. When disengagement is impaired, the neural systems responsible for flexible reorientation may not fully suppress competing information. That could help explain why negative thoughts feel sticky and persistent.

The study also highlights a feedback loop: lingering attention amplifies the emotional relevance of negative material, increasing the likelihood of continued rumination. Over time, this mechanism can reinforce depressive symptoms by maintaining an internal environment dominated by negative appraisal.

These insights could influence treatment strategies aimed at breaking thought loops. Interventions that strengthen attentional flexibility—such as training to interrupt rumination or therapies that directly target cognitive control—may be especially valuable for people whose symptoms are driven by poor disengagement.

With depression affecting millions worldwide, the research is a timely step toward more precise, mechanism-based mental health care. By clarifying how stuck cognition arises, the findings open a path to viral, science-forward conversations about why “just stop thinking” is not a meaningful instruction for a brain that cannot reliably disengage.

For readers, the key takeaway is simple: in depression, the problem may be less about the presence of thoughts and more about the brain’s ability to let go—when the mind should move on, it often cannot.

Subject of Research: Rumination and cognitive disengagement in depression
Article Title: When thinking gets stuck: rumination and cognitive disengagement in depression.
Article References: Stubberud, J., Hoorelbeke, K. When thinking gets stuck: rumination and cognitive disengagement in depression. Nature Mental Health (2026). https://doi.org/10.1038/s44220-026-00699-1
Image Credits: AI Generated