Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research

Despite the many positive outcomes, excessive mobile phone use is now often associated with potentially harmful and/or disturbing behaviors (e.g., symptoms of deregulated use, negative impact on various aspects of daily life such as relationship problems, and work intrusion). Problematic mobile phone use (PMPU) has generally been considered as a behavioral addiction that shares many features with more established drug addictions. In light of the most recent data, the current paper reviews the validity of the behavioral addiction model when applied to PMPU. On the whole, it is argued that the evidence supporting PMPU as an addictive behavior is scarce. In particular, it lacks studies that definitively show behavioral and neurobiological similarities between mobile phone addiction and other types of legitimate addictive behaviors. Given this context, an integrative pathway model is proposed that aims to provide a theoretical framework to guide future research in the field of PMPU. This model highlights that PMPU is a heterogeneous and multi-faceted condition

Analysis of shared heritability in common disorders of the brain

ience, this issue p. eaap8757 Structured Abstract INTRODUCTION Brain disorders may exhibit shared symptoms and substantial epidemiological comorbidity, inciting debate about their etiologic overlap. However, detailed study of phenotypes with different ages of onset, severity, and presentation poses a considerable challenge. Recently developed heritability methods allow us to accurately measure correlation of genome-wide common variant risk between two phenotypes from pools of different individuals and assess how connected they, or at least their genetic risks, are on the genomic level. We used genome-wide association data for 265,218 patients and 784,643 control participants, as well as 17 phenotypes from a total of 1,191,588 individuals, to quantify the degree of overlap for genetic risk factors of 25 common brain disorders. RATIONALE Over the past century, the classification of brain disorders has evolved to reflect the medical and scientific communities' assessments of the presumed root causes of clinical phenomena such as behavioral change, loss of motor function, or alterations of consciousness. Directly observable phenomena (such as the presence of emboli, protein tangles, or unusual electrical activity patterns) generally define and separate neurological disorders from psychiatric disorders. Understanding the genetic underpinnings and categorical distinctions for brain disorders and related phenotypes may inform the search for their biological mechanisms. RESULTS Common variant risk for psychiatric disorders was shown to correlate significantly, especially among attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder (MDD), and schizophrenia. By contrast, neurological disorders appear more distinct from one another and from the psychiatric disorders, except for migraine, which was significantly correlated to ADHD, MDD, and Tourette syndrome. We demonstrate that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine. We also identify significant genetic sharing between disorders and early life cognitive measures (e.g., years of education and college attainment) in the general population, demonstrating positive correlation with several psychiatric disorders (e.g., anorexia nervosa and bipolar disorder) and negative correlation with several neurological phenotypes (e.g., Alzheimer's disease and ischemic stroke), even though the latter are considered to result from specific processes that occur later in life. Extensive simulations were also performed to inform how statistical power, diagnostic misclassification, and phenotypic heterogeneity influence genetic correlations. CONCLUSION The high degree of genetic correlation among many of the psychiatric disorders adds further evidence that their current clinical boundaries do not reflect distinct underlying pathogenic processes, at least on the genetic level. This suggests a deeply interconnected nature for psychiatric disorders, in contrast to neurological disorders, and underscores the need to refine psychiatric diagnostics. Genetically informed analyses may provide important "scaffolding" to support such restructuring of psychiatric nosology, which likely requires incorporating many levels of information. By contrast, we find limited evidence for widespread common genetic risk sharing among neurological disorders or across neurological and psychiatric disorders. We show that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures. Further study is needed to evaluate whether overlapping genetic contributions to psychiatric pathology may influence treatment choices. Ultimately, such developments may pave the way toward reduced heterogeneity and improved diagnosis and treatment of psychiatric disorders

Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Background Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. Methods We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. Results Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. Conclusions Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Peer reviewe

Which event matters: exploring the relationship between life events, socioeconomic status and psychological distress in mothers of infants

  Psychological distress is an important component of the overall health and wellbeing of individuals. It also represents a risk factor for illnesses such as depression. In mothers, psychological distress has been linked with poorer outcomes, both for the mother and her child. This study explored the relationship between stressful events and psychological distress in mothers of infants. Using 4,247 mothers of infants from the Longitudinal Study of Australian Children, it was found that certain subpopulations of Australian mothers, such as young mothers, lone mothers and unemployed mothers, were at an increased risk of reporting psychological distress. In addition, mothers with high distress were more likely than mothers with low distress to report experiencing at least one stressful event within the past 12 months. The study also found that although the number of stressful events predicted the likelihood of psychological distress, certain events were more strongly associated with high distress than others. These included relationship separation, work disappointment and financial crisis

Scratching beneath the surface of non-suicidal self-injury: the relationship between early maladaptive schemas and and non-suicidal self injury in youth

Non-suicidal self-injury (NSSI) is a major public health concern. There has been little published research examining the early maladaptive schemas (schemas)1 of young people who self-injure. To date, no research has explored the relationship between the functions of NSSI, particularly to address difficulties in emotion regulation, and early maladaptive schemas. The purpose of this thesis is to address these gaps, with the overarching goal of incorporating early maladaptive schemas into existing emotional regulation conceptualisations of NSSI. There are four broad aims associated with the project. These are to:1. Examine whether early maladaptive schemas can provide a framework for understanding psychopathology in youth.2. Explore how adolescents who self-injure differ from those who do not self-injure in terms of their underlying schemas.3. Determine whether schemas are associated with the functions of NSSI.4. Test whether emotion regulation skills mediate the relationship between schemas and NSSI.This thesis makes important contributions to research and clinical practice. Conceptually, a schema framework presents to self-injury researchers a vulnerability model with which to understand complex behaviour. Therapeutically, this approach offers clinicians a pathway to an integrated treatment approach by addressing not just dysfunctional behaviour, but the maladaptive schemas underlying the behaviour and the function of the behaviour

The Relationships Between Early Maladaptive Schemas and Youth Mental Health:A Systematic Review

Background Although early maladaptive schemas (EMS) have been strongly associated with psychopathology in adults, this association is less clear in young people since schemas are still emerging. This systematic review examines the relationship between EMS and psychopathology in young people to assess the degree to which EMS discriminate between psychopatholo- gies, consistent with the cognitive content specificity hypothesis. Methods PsycINFO, MEDLINE, PsycARTICLES, Psychology and Behavioral Sciences Collection, CINAHL Plus, Web of Science, and Scopus databases were systematically searched. Results Fifty-eight studies were identified for inclusion, with 24,005 participants across all studies. We found evidence of the relationship between EMS and psychopathology in young people. EMS were found to discriminate between depression, anxiety, eating pathology, borderline symptomology, and externalizing behaviors. Conclusion Findings are discussed in the context of treatment approaches for psychopathology in youth, specifically through an increased understanding of the role of EMS in this developmental period. We also suggest future research directions and discuss the methodological limitations of the studies reviewed, including a bias towards community samples, and a lack of consistency in EMS measures. These findings suggest that EMS may be an important area to target when treating youth presenting with psychological distress

Autosomal recessive limb-girdle and Miyoshi muscular dystrophies in the Netherlands: The clinical and molecular spectrum of 244 patients

In this retrospective study, we conducted a clinico-genetic analysis of patients with autosomal recessive limb-girdle muscular dystrophy (LGMD) and Miyoshi muscular dystrophy (MMD). Patients were identified at the tertiary referral centre for DNA diagnosis in the Netherlands and included if they carried two mutations in CAPN3, DYSF, SGCG, SGCA, SGCB, SGCD, TRIM32, FKRP or ANO5 gene. DNA was screened by direct sequencing and multiplex ligand-dependent probe amplification (MLPA) analysis. A total of 244 patients was identified; 68 LGMDR1/LGMD2A patients with CAPN3 mutations (28%), 67 sarcoglycanopathy patients (LGMDR3-5/LGMD2C-E) (27%), 64 LGMDR12/LGMD2L and MMD3 patients with ANO5 mutations (26%), 25 LGMDR2/LGMD2B and MMD1 with DYSF mutations (10%), 21 LGMDR9/LGMD2I with FKRP mutations (9%) and one LGMDR8/LGMD2H patient with TRIM32 mutations (<1%). The estimated minimum prevalence of AR-LGMD and MMD in the Netherlands amounted to 14.4 × 10 −6 . Thirty-three novel mutations were identified. A wide range in age of onset (0-72 years) and loss of ambulation (5-74 years) was found. Fifteen patients (6%) initially presented with asymptomatic hyperCKemia. Cardiac abnormalities were found in 35 patients (17%). Non-invasive ventilation was started in 34 patients (14%). Both cardiac and respiratory involvement occurs across all subtypes, stressing the need for screening in all included subtypes