Aberrant Behavior Research Articles

Sex differences in risk-based decision-making and the modulation of risk preference by dopamine-2 like receptors in rats

Heightened risk-based decision-making is observed across several neuropsychiatric disorders including schizophrenia, bipolar disorder, and Parkinson's disease, yet no treatments exist that effectively normalize this aberrant behavior. Preclinical risk-based decision-making paradigms have identified the important modulatory roles of dopamine and sex in the performance of such tasks, though specific task parameters may alter such effects (e.g., punishment and reward values). Previous work has highlighted the role of dopamine 2-like receptors (D2R) during performance of the Risk Preference Task (RPT) in male rats, however sex was not considered as a factor in this study, nor were treatments identified that reduced risk preference. Here, we utilized the RPT to determine sex-dependent differences in baseline performance and impact of the D2R receptor agonist pramipexole (PPX), and antagonist sulpiride (SUL) on behavioral performance. Female rats exhibited heightened risk-preference during baseline testing. Consistent with human studies, PPX increased risk-preference across sex, though the effects of PPX were more pronounced in female animals. Importantly, SUL reduced risk-preference in these rats across sexes. Thus, under the task specifications of the RPT that does not include punishment, female rats were more risk-preferring and required higher PPX doses to promote risky choices compared to males. Furthermore, blockade of D2R receptors may reduce risk-preference of rats, though further studies are required.

Anomaly Detection in CCTV Surveillance

CCTV surveillance systems are routinely utilized to maintain the safety and security of public and private locations. However, manually watching surveillance footage may be tiresome and time-consuming, making it difficult to recognize and respond to possible threats quickly. In this research, we offer a real-time danger detection system for CCTV monitoring that uses deep learning models to identify and categorize degrees of high movement in video frames. Our system is able to continuously monitor surveillance footage in real-time and identify potential threats such as abuse, burglaries, explosions, shootings, fighting, shoplifting, road accidents, arson, robbery, stealing, assault, and vandalism by treating videos as segments and defining anomalous (threatening) and normal (safe) segments. We conducted extensive tests on a huge collection of CCTV video to evaluate the effectiveness of our system and obtained encouraging findings. Our solution has the potential to greatly increase the efficiency and efficacy of CCTV surveillance, allowing for faster reaction times and improved individual security. We use multiple instance learning (MIL) to automatically develop a deep anomaly ranking model that predicts high anomaly scores for anomalous video segments by treating normal and anomalous films as bags and video segments as instances. In addition, we apply sparsity and temporal smoothness requirements in the ranking loss function to improve anomaly localization during training. In addition, we present a novel large-scale, first-of-its-kind dataset comprising 128 hours of video. It comprises of 1900 uncut real-world surveillance movies with 13 actual anomalies such as fights, car accidents, burglary, robbery, and so on, as well as typical activities. This dataset may be used for two different purposes. First, global anomaly detection, which takes into account all abnormalities in one group and all normal activity in another. Secondly, for identifying every one of the thirteen unusual actions. Comparing our experimental results to state-of-the-art methodologies, we find that our MIL method for anomaly detection produces a considerable increase on anomaly detection performance. We provide the findings from many recent deep learning baselines concerning the identification of aberrant behavior. These baselines' poor recognition performance indicates how difficult our dataset is, and it also provides additional room for investigation in the future.

Effect of Yoga Intervention on Problem Behavior and Motor Coordination in Children with Autism.

Children with autism exhibit more pronounced symptoms of both problem behaviors and motor coordination difficulties. Yoga, recognized as an effective intervention modality, can be valuable after assessing its efficacy in addressing problem behaviors and motor coordination challenges, ultimately contributing to symptom alleviation in autism. The randomized controlled trial (RCT) was used to divide 17 children with autism into an intervention group (n = 9) and a control group (n = 8). The intervention group participated in an 8-week yoga intervention training (three sessions/week, 45-50 min/session), and the control group did not participate in yoga training but only in daily program activities. Pre-test, mid-test, post-test, and after delayed test, teachers assessed the effect of yoga intervention on problem behaviors of children with autism through the Aberrant Behavior Checklist (ABC) and the effect of yoga intervention on motor coordination through the Movement Assessment Battery for Children-Second Edition (MABC2). Results show that the yoga intervention is effective in reducing problem behaviors and improving motor coordination in children with autism. Yoga intervention significantly reduces irritability and social withdrawal in children with autism. Yoga intervention had the most significant improvement in ball skills and static and dynamic balance.

Neurotoxicity of Benzotriazole Ultraviolet Stabilizers in Teleost Fishes: A Review.

Plastic additives that maintain integrity have been extensively studied for potential toxicity to fish; however, chemicals that protect polymers from (artificial) UV degradation are less studied. Benzotriazole UV stabilizers (BUVSs) are the most widely used UV stabilizers in plastics and are often used in sunscreens, cosmetics, paint, and food packaging. BUVSs can negatively affect aquatic wildlife when released into the environment via plastic degradation. In this review, we summarize the distribution of BUVSs globally and discuss neurotoxicological endpoints measured in fish to understand how these plastic additives can affect the neurological health of teleost fishes. BUVSs have been detected in aquatic environments at concentrations ranging from 0.05 up to 99,200 ng/L. Studies show that BUVSs affect behavioral responses and acetylcholinesterase activity, indicators of neurotoxicity. Our computational analysis using transcriptome data suggests certain pathways associated with neurodegeneration are responsive to exposure to BUVSs, like "Complement Activation in Alzheimer's Disease". Based on our review, we identify some research needs for future investigations: (1) molecular studies in the central nervous system to define precise mechanisms of neurotoxicity; (2) a wider range of tests for assessing aberrant behaviors given that BUVSs can affect the activity of larval zebrafish; and (3) histopathology of the nervous system to accompany biochemical analyses. These data are expected to enhance understanding of the neurotoxicity potential of benzotriazoles and other plastic additives.

Measuring Body Image Guilt and Shame: Gender and Disordered Eating Behaviors in Perspective

Objectives. The goal of the current study was to investigate the association between bodily perception guilt together with shame, and aberrant eating patterns in adolescents. Differences across gender in the proposed relationship were also studied. Moderating role of gender between the study variables was also explored. Method. Disordered Eating Behavior Scale (Muazzam & Khalid, 2011), Body Image Guilt and Shame Scale (Thompson et al., 2003), with a demographic table was employed for collecting data among 316 teenagers using convenience sampling method that included educational institutes of District Rawalpindi and Islamabad. Phase I of the study's four phases comprises the conversion and modification of Body Image Guilt and Shame Scale (Thompson et al., 2003). Results. The results in the present study indicated that aberrant eating behaviors are importantly positively connection to bodily perception guilt and shame. According to the results, boys experience more bodily perception guilt and shame as compared to girls. Conclusion. The present study concluded that body satisfaction should be promoted among adolescents in order to prevent them from body related guilt and shame, and disordered eating behaviors that consequently enhances their psychological well-being.

An Insight into Synthetic Strategies, SAR Study and Anticancer Mechanism of Chalcone Derivatives: Medicinal Chemistry Perspective.

Chalcone derivatives continue to captivate medicinal chemists due to their modest chemistry, facile synthetic method, and promising biological activities. They have become wellknown in the therapeutic and pharmaceutical industries due to their diverse biological actions. These complexes offer different features and applications in a human biological system due to the flexibility of the reactions, including antimicrobial, antineoplastic, antimalarial, and other uses. As a result, chalcones have sparked much attention in malignancy research. Cancer is characterized by uncontrollably growing and spreading abnormal cells and aberrant cell behavior. These masses destroy surrounding normal tissue and can attack vital organs, leading to widespread disease. Cancer is frequently used as a warning sign for impending patient death. In the age of pharmaceutical chemistry, it is unavoidably a cause for concern and a growing weight on the populace. The pathophysiology of all malignancies is due to faulty genes that regulate the development, division, and death of cells. Various genetic and environmental variables combine to cause mutations in genes encoding essential cell-regulatory proteins, leading to the numerous alterations that characterize the evolution of cancers. Rather than directly targeting DNA synthesis, the new generation of anticancer medications target signals that promote or control the cell cycle, growth factors and their receptors, signal transduction pathways, and pathways impacting DNA repair and death. Drug hunters are focusing their attention on chalcone derivatives with varying chemical structures since they are essential in the search for anticancer drugs. Chalcone's anticancer action may be attributed to molecular changes such as drug efflux protein activities, activation of apoptosis, DNA and mitochondrial damage, inhibition of angiogenesis, tubulin inhibition, and kinase inhibition. Chalcones are used to diagnose cancer as well. The development of chalcone congeners as a prodrug or prime chemical to combat cancer necessitates a thorough investigation. This review gives an update on the different pharmacological activities of natural and synthesized chalcones in recent years. Furthermore, the structure- activity connections and processes are extensively documented, providing essential design and synthesis assistance in the future.

Pain medication misuse in the South African spinal cord injury context.

Pain after spinal cord injury (SCI) is debilitating and has been reported to be difficult to treat, despite pharmacological interventions. Pain medication misuse (PMM) and associated individual factors among people with spinal cord injury (PWSCI) are scarce. To determine PMM and the associated factors in PWSCI. Homes of community-dwelling manual wheelchair users with SCI in South Africa. Community-dwelling PWSCI (n = 122) were consecutively sampled and the Pain Medication Questionnaire (PMQ) was used to determine PMM. Descriptive statistics, Fisher's exact test, independent t-tests, and simple linear regression tests were performed using SPSS v27. Testing was conducted at the 0.05 level of significance. Eighty-five per cent of the participants reported the presence of pain and 48.1% of them used pain medication. Forty-four percent of people who used pain medication scored ≥ 30, indicative of serious aberrant drug-taking behaviours. Opioids were mainly used for neuropathic pain and in combination with other types of medications such as anticonvulsants and non-steroidal anti-inflammatories (44.0%). Pain severity and the type of pain medication were found to be predictors of PMM (p < 0.01 respectively). Pain relief after SCI remains difficult to achieve, with an evident high risk of PMM, which may lead to long-lasting side effects, dependency, or overdose. This study has shown the need for the assessment of the potential risk of dependency before prescribing pain medication, particularly opioids to PWSCI.

ZNF142 mutation causes sex-dependent neurologic disorder

BackgroundSex-specific predilection in neurological diseases caused by mutations in autosomal genes is a phenomenon whose molecular basis is poorly understood. We studied females of consanguineous Bedouin kindred presenting with severe...

Impact of a Community Pharmacy Pharmacotherapy Follow-up (PTF) service in patients using opioid analgesic

The use of prescribed major opioid analgesics (fentanyl, tapentadol, morphine and oxycodone and combinations) for non-cancer chronic pain is fraught with risks that may generate Negative Medicine Outcomes (NMO). Among the factors associated with these risks, those related to the patient's characteristics and aberrant behavior, the treatment conditions, and the prescription health settings should be evaluated with the aim of minimizing unsafety during the health care process. The present study addresses, from a community pharmacy, the analysis of Drug Related Problems (DRP) and Negative Medicine Outcomes (NMO) in patients using these major opioid analgesics while it aims to demonstrate the role of pharmaceutical care interventions in promoting safety during the use of these molecules. A three step Pharmacotherapeutic Follow-up (PFT) protocol was designed to prevent, detect, and solve DRP and NMO associated with the use of opioid analgesics. 74.6% of the patients used opioid analgesics to treat musculoskeletal pain. Polypharmacy with benzodiazepines (61.9%); antidepressants (57.1%) and antiepileptics (30.2%) was detected in patients using these opioids. The Morisky-Green Adherence test revealed that 30.2% were nonadherent. It was observed, with statistical significance, that in all patients (63), the impact of the 14-week PFT supervised by the community pharmacist achieved an overall reduction in the prevalence of DRP and NMO. While the reduction in the number of DRPs reached 66.7%. Community pharmacies are a strategic point to promote and implement effective opioid stewardship due to both their central role in healthcare services and frequent interaction with patients.

Extending application of explainable artificial intelligence for managers in financial organizations

AbstractAnomalies are a significant challenge for businesses in all industries. Artificial intelligence (AI) based machine learning (ML) detection models can help find aberrant customer transaction behaviour in financial datasets. However, the output responses provided by these AI-based ML models lack transparency and interpretability, making it challenging for financial managers to comprehend the reasoning underlying the AI detections. Suppose managers cannot comprehend how and why AI models develop responses based on the input information. In such cases, AI is unlikely to enhance data-driven decision-making and add value to organizations. This article’s primary objective is to illustrate the capacity of the SHapley Additive exPlanations (SHAP) technique to give finance managers an intuitive explanation of the anomaly detections AI-based ML models generate for a specific customer transaction dataset. Theoretically, we contribute to the literature on international finance by offering a conceptual review of AI algorithmic explainability. We discuss its implications for sustaining a competitive advantage using the concepts of action design research methodology following the research onion framework. We also suggest an explainable AI implementation methodology based on SHAP as a valuable guide for finance managers seeking to boost the transparency of AI-based ML models and to alleviate trust difficulties in data-driven decision-making.

Lhx3/4 initiates a cardiopharyngeal-specific transcriptional program in response to widespread FGF signaling.

Individual signaling pathways, such as fibroblast growth factors (FGFs), can regulate a plethora of inductive events. According to current paradigms, signal-dependent transcription factors (TFs), such as FGF/MapK-activated Ets family factors, partner with lineage-determining factors to achieve regulatory specificity. However, many aspects of this model have not been rigorously investigated. One key question relates to whether lineage-determining factors dictate lineage-specific responses to inductive signals or facilitate these responses in collaboration with other inputs. We utilize the chordate model Ciona robusta to investigate mechanisms generating lineage-specific induction. Previous studies in C. robusta have shown that cardiopharyngeal progenitor cells are specified through the combined activity of FGF-activated Ets1/2.b and an inferred ATTA-binding transcriptional cofactor. Here, we show that the homeobox TF Lhx3/4 serves as the lineage-determining TF that dictates cardiopharyngeal-specific transcription in response to pleiotropic FGF signaling. Targeted knockdown of Lhx3/4 leads to loss of cardiopharyngeal gene expression. Strikingly, ectopic expression of Lhx3/4 in a neuroectodermal lineage subject to FGF-dependent specification leads to ectopic cardiopharyngeal gene expression in this lineage. Furthermore, ectopic Lhx3/4 expression disrupts neural plate morphogenesis, generating aberrant cell behaviors associated with execution of incompatible morphogenetic programs. Based on these findings, we propose that combinatorial regulation by signal-dependent and lineage-determinant factors represents a generalizable, previously uncategorized regulatory subcircuit we term "cofactor-dependent induction." Integration of this subcircuit into theoretical models will facilitate accurate predictions regarding the impact of gene regulatory network rewiring on evolutionary diversification and disease ontogeny.

Psychiatric Features of Children with Chronic Functional Constipation: Focusing on Individuals with Autism Spectrum Disorder.

The present study aimed to assess the psychiatric characteristics of children with chronic functional constipation using the Aberrant Behavior Checklist-Japanese version and the Pervasive Developmental Disorders/Autism Society Japan Rating Scale, and to examine the frequency of autism spectrum disorder in children with chronic functional constipation. We also investigated differences in treatment duration between children with and without autism spectrum disorder. Treatment outcomes were examined retrospectively for 55 participants (chronic functional constipation group: n = 30, mean age 3.4 years; control group: n = 25, mean age, 4.5 years). The association between chronic functional constipation and autism spectrum disorder was evaluated using multivariable logistic regression analysis. The mean Aberrant Behavior Checklist score and frequency of individuals with autism spectrum disorder were significantly higher in the chronic functional constipation group. After adjusting for age and sex, chronic functional constipation was significantly associated with autism spectrum disorder. In the chronic functional constipation group, the frequency of onset was significantly higher in children with autism spectrum disorder under 1 year of age. When treated, the mean duration of constipation was significantly longer in children with autism spectrum disorder. Pediatricians, pediatric surgeons, and child psychiatrists should work closely to ensure appropriate treatment of chronic functional constipation in children with autism spectrum disorder.

Control mechanism of trichloroethylene back diffusion by microstructure in a low permeability zone

The trailing effect caused by the back diffusion (BD) of contaminants in low-permeability zones (LPZs), which prolongs remediation time and increases remediation costs, has caused widespread concern. In this study, the BD of trichloroethylene (TCE) from the LPZ to the high-permeability zone (HPZ) was determined using flow cell experiments. The anomalous variance in the BD flux of the TCE—spanning 2–4 times the deviation under identical experimental conditions, attracted our attention. To determine the cause of this aberrant behavior, a micro computed tomography (micro-CT) characterization of the flow cell was conducted, which revealed significant microstructural disparities in the LPZ. The study found that the pore connectivity of LPZs determines the efficiency of BD and that LPZs with different porosities have different sensitivities to connectivity. The pore shape complexity indicates the possibility of BD retardation, and remediation is more difficult for these types of LPZs. Changing the structure of LPZs to improve their remediation efficiency may be a new research topic. Notably, correcting the model parameters through microstructural characterization significantly refined the prediction accuracy.

Prader-Willi syndrome in a large sample from Spain: general features, obesity and regular use of psychotropic medication.

Prader-Willi syndrome (PWS), a genetically determined disorder, the most frequent cause of early onset obesity, is associated with physical and cognitive dysfunctions and behavioural disturbances; these disturbances are frequently treated with psychotropic medication. The aim of this cross-sectional study was to describe the characteristics of the first large national sample of persons with PWS in Spain and analyse the relationships of those characteristics with key demographic and clinical factors, particularly with obesity and the regular use of psychotropic medication. Participants were recruited among all members of the Spanish Prader-Willi Association who agreed to take part in the study and fulfilled its inclusion criteria. Family and patient demographic features, family size and birth order, intelligence quotient (IQ), anthropometric measures, lifestyle habits, behavioural disturbances (with the Aberrant Behavior Checklist) and clinical data, as well as use of psychotropic drugs and their side effects (with the UKU scale), were collected in genetically confirmed cases of PWS. Bivariate and logistic regression analyses were used for determining the associations of demographic and clinical factors with both obesity and the regular use of psychotropic medication. The cohort included 177 participants (aged 6-48years), that is, 90 (50.8%) males and 87 (49.2%) females. Behavioural disturbances were present in a range of 75% to 93% of participants; psychotropic medication was prescribed to 81 (45.8%) of them. Number of siblings showed a direct correlation with IQ, especially among males, and inappropriate speech was more intense in only-child females. Obesity was, in parallel, strongly associated with ascending age and with not being currently under growth hormone (GH) treatment. Participants taking any psychotropic medication were characterised by more frequent age ≥30years, high level of hyperactivity and a psychiatric diagnosis. Characterisation of persons with PWS in Spain confirms their physical and behavioural phenotype and supports the long-term application of GH therapy and the rational use of psychotropic medication.

Konseling Behavioral Terhadap Remaja Yang Kecanduan Alkohol Akibat Broken Home

The research is aimed at knowing the problems of the client and the causes of the client's social irregularities. The study uses qualitative research methods. Data collection techniques are performed with observation, interviews and literature studies. The result of this study is the factor behind the social irregularities of adolescents who experience or live in broken home circles. Most youths commit this social aberrant because they want to shift their weight, their unhinged teenage behavior is also one of the factors that causes youths to commit deviations or delinquency, making them more susceptible to the adverse effects of their surroundings. A typical example of broken home adolescents involves alcoholics, drug use, and so forth. At present, however, social deviations are not limited to the person or youth of broken home, illness. Delinquency seems to be common in teens or in juvenile delinquency often results in achievement (pride) in order to make it a good, fun, fun youth. This factor is due to the rapid growth of globalization and modernization that many outside cultures are introduced into Indonesia and are affecting social aberrant behavior in the youth.

The developmental timing of spinal touch processing alterations predicts behavioral changes in genetic mouse models of autism spectrum disorders

Altered somatosensory reactivity is frequently observed among individuals with autism spectrum disorders (ASDs). Here, we report that although multiple mouse models of ASD exhibit aberrant somatosensory behaviors in adulthood, some models exhibit altered tactile reactivity as early as embryonic development, whereas in others, altered reactivity emerges later in life. Additionally, tactile overreactivity during neonatal development is associated with anxiety-like behaviors and social behavior deficits in adulthood, whereas tactile overreactivity that emerges later in life is not. The locus of circuit disruption dictates the timing of aberrant tactile behaviors, as altered feedback or presynaptic inhibition of peripheral mechanosensory neurons leads to abnormal tactile reactivity during neonatal development, whereas disruptions in feedforward inhibition in the spinal cord lead to touch reactivity alterations that manifest later in life. Thus, the developmental timing of aberrant touch processing can predict the manifestation of ASD-associated behaviors in mouse models, and differential timing of sensory disturbance onset may contribute to phenotypic diversity across individuals with ASD.

Exploring the relationship between traffic resilience and driver behaviors through traffic climate

Traffic safety culture and climate have emerged as an integral part of road safety policy and practice in recent decades, resulting in an emphasis on a holistic approach to road safety through systems thinking. The aim of this study was to investigate the relationship between drivers' perceptions of traffic resilience and traffic climate and their impact on driver behaviors. A total of 216 drivers aged between 19 and 32 years completed an online questionnaire consisting of the Traffic Resilience Scale (TRS), the Traffic Climate Scale (TCS), the Driver Behavior Questionnaire (DBQ), and the Positive Driver Behaviors Scale (PDBS). Serial mediation analyses were conducted to examine the objectives of the study. The results showed that drivers who perceived the traffic system as more resilient tended to perceive the traffic system as more functional and less externally demanding. The drivers' perceptions of traffic resilience were found to be directly related to the traffic climate and indirectly related to the driver behaviors through external affective demands and internal requirements. Increased traffic resilience was associated with increased aberrant behaviors and decreased positive behaviors through reduced external affective demands and internal requirements. These findings can be considered to make a unique contribution to the literature in understanding the motivations behind aberrant behaviors of drivers and highlight the need for road safety policies to take into account road users' perceptions of traffic resilience and traffic climate in order to better understand, predict, and modify road user behaviors for a safer traffic system.

Development of a Dog Health Score Using an Artificial Intelligence Disease Prediction Algorithm Based on Multifaceted Data.

Detecting aberrant behaviors in dogs or observing emotional interactions between a dog and its owner may serve as indicators of potential canine diseases. However, dog owners typically struggle to assess or predict the health status of their pets independently. Consequently, there is a demand for a methodology enabling owners to evaluate their dogs' health based on everyday behavioral data. To address this need, we gathered individual canine data, including three months of standard daily activities (such as scratching, licking, swallowing, and sleeping), to train an AI model. This model identifies abnormal behaviors and quantifies each behavior as a numerical score, termed the "Health Score". This score is categorized into ten levels, where a higher score indicates a healthier state. Scores below 5 warrant medical consultation, while those above 5 are deemed healthy. We validated the baseline value of the Health Score against veterinarian diagnoses, achieving an 87.5% concordance rate. This validation confirms the reliability of the Health Score, which assesses canine health through daily activity monitoring, and is expected to significantly benefit dog owners who face challenges in determining the health status of their pets.

Paternal Prenatal and Lactation Exposure to a High-Calorie Diet Shapes Transgenerational Brain Macro- and Microstructure Defects, Impacting Anxiety-Like Behavior in Male Offspring Rats.

Prenatal exposure to high-energy diets (HED) increases the susceptibility to behavioral alterations in the male offspring. We addressed whether prenatal HED primes the transgenerational inheritance of structural brain changes impacting anxiety/depression-like behavior in the offspring. For this, we used female Wistar rats exposed to a HED [cafeteria (CAF) diet, n = 6] or chow [control (CON) n = 6] during development. Anxiety and depression-like behavior were evaluated in filial 1 (F1), filial 2 (F2), and filial 3 (F3) male offspring using the open field (OFT), elevated plus maze, novelty suppressed feeding (NSFT), tail suspension (TST), and forced swimming tests. Structural brain changes were identified by deformation-based morphometry (DBM) and diffusion tensor imaging using ex vivo MRI. We found that the F1, F2, and F3 offspring exposed to CAF diet displayed higher anxious scores including longer feeding latency during the NSFT, and in the closed arms, only F1 offspring showed longer stay on edges during the OFT versus control offspring. DBM analysis revealed that CAF offspring exhibited altered volume in the cerebellum, hypothalamus, amygdala, and hippocampus preserved up to the F3 generation of anxious individuals. Also, F3 CAF anxious exhibited greater fractional anisotropy and axial diffusivity (AD) in the amygdala, greater apparent diffusion coefficient in the corpus callosum, and greater AD in the hippocampus with respect to the control. Our results suggest that prenatal and lactation exposure to HED programs the transgenerational inheritance of structural brain changes related to anxiety-like behavior in the male offspring.

Does workplace ostracism lead to workplace withdrawal? Testing the moderating-mediating effects of rumination and mindfulness in Indian hospitality industry

PurposeTaking the support of social capital theory and conservation of resource theory, the present study explores the mediating role of rumination and moderating role of mindfulness in the relationship of workplace ostracism (WO) and workplace withdrawal (WW).Design/methodology/approachThe data were collected in two waves from 467 employees working in hotels located in Delhi NCR region of India. The hypothesised relationships were investigated by macro-PROCESS (Hayes, 2013).FindingsThe results found a mediating impact of rumination on WO and WW relationship. It further supported the moderating effect of mindfulness in weakening the association between WO and WW via rumination.Practical implicationsThis study identified mindfulness as an essential mechanism by which WO may be regulated to control employee's tendency to ruminate. Rumination may initially be prevented in organisations by regulating the primary effect of WO on employees' decisions for WW.Originality/valueBy linking the research model with the social capital theory, the study has contributed to the existing body of knowledge. The study is the first of its kind in India to examine the impact of hypothesised associations on the hotel industry. The findings of the study would help the industry in understanding the role of mindfulness in reducing aberrant behaviours at workplace.