Aim: To delineate the sleep profile of Borderline Personality Disorder (BPD).
Method: A meta-analysis to synthesise findings on the objective and subjective sleep characteristics of BPD.
Results: We identified 32 studies published between 1980 and December 2015. Meta-analysis indicated significant differences between BPD and healthy control groups across objective sleep continuity (sleep onset latency, total sleep time, sleep efficiency) and architecture (rapid eye movement latency/density, slow wave sleep) measures, and self-reported sleep problems (nightmares, sleep quality). Findings were independent of depression (in clinical and community populations), and concomitant psychotropic medication use. There were few significant differences between BPD and clinical (majority depressed) control groups.
Conclusion: BPD is associated with comparable sleep disturbances to those observed in depression. These disturbances are not solely attributable to comorbid depression. Given growing evidence that sleep disturbance may exacerbate emotional dysregulation and suicide risk, treatments for BPD should explicitly address sleep problems. Future studies should utilise prospective designs to ascertain whether (and in which circumstances) sleep problems predate or follow the onset of the disorder.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.neubiorev.2016.12.008 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Itching tends to worsen at night in patients with itchy skin diseases, such as atopic dermatitis. Unconscious scratching during sleep can exacerbate symptoms, cause sleep disturbances, or reduce quality of life. Therefore, evaluating nocturnal scratching behaviour is important for better patient care.
View Article and Find Full Text PDFPersistent COVID-19 symptoms and associated factors in a tertiary hospital in Thailand.
J Infect Dev Ctries
December 2024
Division of Pulmonary and Critical Care Medicine, Department of Medicine, Faculty of Medicine, Thammasat University, Pathumthani 12120, Thailand.
Introduction: Coronavirus disease 2019 (COVID-19) is associated with long-term symptoms, but the spectrum of these symptoms remains unclear. We aimed to identify the prevalence and factors associated with persistent symptoms in patients at the post-COVID-19 outpatient clinic.
Methodology: This cross-sectional, observational study included hospitalized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected patients followed-up at a post-COVID-19 clinic between September 2021 and January 2022.
Menopause and obstructive sleep apnea: revealing an independent mediating role of visceral fat beyond body mass index.
BMC Endocr Disord
January 2025
Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Background: Menopause is a significant phase in women's health, in which the incidence of obstructive sleep apnea (OSA) is significantly increased. Body fat distribution changes with age and hormone levels in postmenopausal women, but the extent to which changes in body fat distribution affect the occurrence of OSA is unclear.
Methods: This research performed a cross-sectional analysis utilizing data from the 2015-2016 National Health and Nutrition Examination Survey (NHANES).
A participatory needs assessment to map the system dynamics of overweight related behaviours of 10-14-year-old adolescents living in an underserved neighbourhood in Amsterdam, the Netherlands.
BMC Public Health
January 2025
Amsterdam UMC location Vrije Universiteit Amsterdam, Public and Occupational Health, De Boelelaan 1117, Amsterdam, the Netherlands.
Background: Developing interventions along with the population of interest using systems thinking is a promising method to address the underlying system dynamics of overweight. The purpose of this study is twofold: to gain insight into the perspectives of adolescents regarding: (1) the system dynamics of energy balance-related behaviours (EBRBs) (physical activity, screen use, sleep behaviour and dietary behaviour); and (2) underlying mechanisms and overarching drivers of unhealthy EBRBs.
Methods: We conducted Participatory Action Research (PAR) to map the system dynamics of EBRBs together with adolescents aged 10-14 years old living in a lower socioeconomic, ethnically diverse neighbourhood in Amsterdam East, the Netherlands.
A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification.
NPJ Digit Med
January 2025
Neurofibromatosis Type 1 Center and Laboratory for Neurofibromatosis Type 1 Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!