Debayan Mandal, Rishi Malik, Vijender Singh, Roshan F Sutar
{"title":"Treatment resistance and treatment intolerance in Mania: Lesson learned and way ahead.","authors":"Debayan Mandal, Rishi Malik, Vijender Singh, Roshan F Sutar","doi":"10.4103/ipj.ipj_382_24","DOIUrl":"https://doi.org/10.4103/ipj.ipj_382_24","url":null,"abstract":"","PeriodicalId":13534,"journal":{"name":"Industrial Psychiatry Journal","volume":"34 1","pages":"150-151"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077641/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144077551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Delayed discovery of a frontal stroke causing depression.","authors":"Mohamed A Mnaili","doi":"10.4103/ipj.ipj_335_23","DOIUrl":"https://doi.org/10.4103/ipj.ipj_335_23","url":null,"abstract":"","PeriodicalId":13534,"journal":{"name":"Industrial Psychiatry Journal","volume":"34 1","pages":"130-131"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077631/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prevalence of bruxism in neurodegenerative disorders in the elderly: A systematic review and meta-analysis.","authors":"J V Ashwin, Astha Singh, Mohit Kumar Shahi, Bhupendra Singh, Rama Appala Narasimha Reddy Challa","doi":"10.4103/ipj.ipj_152_24","DOIUrl":"https://doi.org/10.4103/ipj.ipj_152_24","url":null,"abstract":"<p><p>Bruxism, characterized by the rhythmic grinding and clenching of teeth, is a common parafunctional behavior with implications beyond oral health. Recent interest has emerged in exploring its association with neurodegenerative disorders (NDDs), such as Parkinson's disease (PD), Alzheimer's disease (AD), and frontotemporal dementia (FTD). This systematic review and meta-analysis aimed to investigate the prevalence of bruxism in individuals with NDDs, synthesizing existing evidence and identifying areas for further investigation. A comprehensive search strategy was implemented across electronic databases (PubMed, Scopus, Embase, and Sci Info), supplemented by manual searches of reference lists. Studies were included based on predefined criteria related to bruxism and NDDs, with data extraction and quality assessment performed independently by two reviewers. Statistical analysis involved a meta-analysis using review manager software, with risk ratios (RRs) calculated to assess the association between bruxism and NDDs. Three studies were included in the meta-analysis, revealing a higher prevalence of bruxism in NDD subjects compared to controls (RR: 1.52; 95% CI: 1.33-1.71). Subgroup analysis indicated significant heterogeneity among studies, with no significant overall effect observed (Z = 0.41, <i>P</i> > 0.05). Neuroanatomical and neurobiological mechanisms linking bruxism and NDDs were explored, highlighting dopaminergic and serotonergic pathways' roles. This meta-analysis provides evidence supporting a higher prevalence of bruxism in individuals with NDDs compared to controls. The findings underscore the need for further research to elucidate underlying mechanisms and inform clinical practice in managing bruxism and NDDs effectively.</p>","PeriodicalId":13534,"journal":{"name":"Industrial Psychiatry Journal","volume":"34 1","pages":"4-10"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077618/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144077537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distinctive lorazepam response in catatonia with cognitive impairment.","authors":"Mohit Kumar Shahi, J V Ashwin, Astha Singh","doi":"10.4103/ipj.ipj_209_24","DOIUrl":"https://doi.org/10.4103/ipj.ipj_209_24","url":null,"abstract":"<p><p>Catatonia, a complex syndrome characterized by immobility and communication impairment, presents with varying responses to lorazepam treatment among individuals with different cognitive impairments and underlying dementias. This study examines a case series involving four distinct catatonic patients to elucidate the factors contributing to the variable lorazepam response. Although lorazepam, a GABAergic modulator, can effectively alleviate symptoms in some cases, its limited impact in others highlights the intricate interplay between the underlying pathophysiology of diverse dementias and treatment mechanisms. This abstract provides insights into the intricate relationship between neurochemical pathways, catatonic symptoms, and treatment approaches, shedding light on the complexities of managing catatonia in the context of cognitive impairments and dementias.</p>","PeriodicalId":13534,"journal":{"name":"Industrial Psychiatry Journal","volume":"34 1","pages":"117-122"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fluoxetine brakes the menstrual cycle: Uncovering the unexpected effect.","authors":"Barath Ramanathan, Souganya Vijayan, Perarul Sivakumar, Arun Selvaraj","doi":"10.4103/ipj.ipj_326_24","DOIUrl":"https://doi.org/10.4103/ipj.ipj_326_24","url":null,"abstract":"<p><p>Fluoxetine is one of the most commonly used antidepressants, classified under selective serotonin reuptake inhibitors (SSRIs). It is indicated for the treatment of depression, obsessive-compulsive disorder, anxiety, and eating disorders. The antidepressant effect of fluoxetine is achieved by inhibiting the reuptake of serotonin (5-HT) via the serotonin transporter (SERT) in neurons. Although fluoxetine is generally considered safe and well-tolerated by most patients, this case series describes instances where patients treated with fluoxetine subsequently developed menstrual irregularities. Upon discontinuation of fluoxetine, the menstrual cycles returned to normal. To the best of our knowledge, there is a lack of precise data associating fluoxetine with the onset of menstrual irregularities. This effect may be related to its central serotonergic action via 5-HT action modulates the prolactin, estradiol, and progesterone level. Therefore, physicians should be aware of the potential risk of fluoxetine-induced menstrual irregularities.</p>","PeriodicalId":13534,"journal":{"name":"Industrial Psychiatry Journal","volume":"34 1","pages":"126-129"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077640/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rajnish Raj, Aaliya Khanam, Zaid A Wani, Afifa Afreen, Simranjeet Kour, Ajaz A Khan, Inaamul Haq
{"title":"Understanding the metacognition and impulsivity issues with clinical and cognitive insight in borderline personality disorder - A cross sectional study.","authors":"Rajnish Raj, Aaliya Khanam, Zaid A Wani, Afifa Afreen, Simranjeet Kour, Ajaz A Khan, Inaamul Haq","doi":"10.4103/ipj.ipj_348_24","DOIUrl":"https://doi.org/10.4103/ipj.ipj_348_24","url":null,"abstract":"<p><strong>Background: </strong>Borderline personality disorder (BLPD) is one of the most common personalities disorders frequently encountered in the outpatient setup.</p><p><strong>Aim: </strong>Understanding the role of impulsivity and metacognition in clinical and cognitive insight among BLPD patients.</p><p><strong>Materials and methods: </strong>A cross-sectional study was performed among 81 patients diagnosed with BLPD. Sociodemographic details were collected, and the Borderline Personality Questionnaire (BPQ), Beck Cognitive Insight Scale (BCIS), Metacognitive Questionnaire (MCQ-30), Urgency premeditation perseverance sensation seeking - impulsive behavior scale - short version (UPPS-S), and Scale to assess unawareness of mental disorder (SUMD) were applied to assess severity symptomatology, cognitive insight, metacognition, impulsivity and clinical insight, respectively.</p><p><strong>Results: </strong>The mean age ± SD of subject was 22.19 ± 3.79, with a female preponderance (N = 61, 75.3%). The mean ± SD of BCIS, MCQ-30, UPPS-S, SUMD, and BPQ was 7.78 ± 4.11, 66.96 ± 14.95, 50.98 ± 11.72, 5.53 ± 2.36, and 57.56 ± 9.00, respectively. The cognitive (BCIS) and clinical insight (SUMD) were significantly correlated (r = -0.26, P = 0.01). The impulsivity (UPPS) was also positively correlated with BPQ, (r = 0.26, <i>P</i> = 0.01). In regression analysis, a significant negative relation was observed with MCQ-30 (Cognitive self-consciousness) (β = -0.341, 95% CI = -1.022 to - 0.186, <i>P</i> = 0.005) when predicting BPQ. A significant negative relation of Negative urgency with BCIS (β = -0.339, 95% CI = -0.703 to - 0.054, <i>P</i> = 0.023) and a positive relation with SUMD (β =0.331, 95% CI = 0.032 to 0.392, <i>P</i> = 0.022) were obtained.</p><p><strong>Conclusion: </strong>The results of this study can be used in clinical practice by strengthening existing therapies aiming at these areas and thereby enhancing therapeutic alliance, adherence, and prognosis.</p>","PeriodicalId":13534,"journal":{"name":"Industrial Psychiatry Journal","volume":"34 1","pages":"89-96"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077633/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144077556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}