Psychological Consequences of the Most Common Dermatoses: Data from the Objectifs Peau Study.
Psychological Consequences of the Most Common Dermatoses: Data from the Objectifs Peau Study. Acta Derm Venereol. 2020 May 25;: Authors: Misery L, Taïeb C, Schollhammer M, Bertolus S, Coulibaly E, Feton-Danou N, Michel L, Seznec JC, Versapuech J, Joly P, Corgibet F, Ezzedine K, Richard MA Abstract The prevalence of psychological disorders in patients with common skin diseases was assessed in a large representative sample of the French adult population. General health, as measured by the EQ5D score, was significantly lower if patients reported having rosacea, atopic dermatitis, urticaria, fungal infections, psoriasis or acne. The proportions of participants reporting being extremely anxious or depressed were higher in those who reported having rosacea, atopic dermatitis or contact dermatitis. Difficulties in sexual or conjugal life were frequently reported by people with psoriasis, atopic dermatitis, contact dermatitis, urticaria and, in particular, acne. Sleep disorders were present in 30-50% of those who reported having acne, rosacea, eczema, psoriasis or urticaria. Sleep disorders may be related not only to pruritus, but also to disfiguring skin diseases. Anxiety and depression complications were mainly reported by those with disfiguring diseases. Sexual/conjugal dysfunctions were associated with all dermatoses (with the exception of warts). PMID: 32449783 [PubMed - as supplied by publisher]
Authors: Bondy SC, Campbell A Abstract Melatonin is well known as a neuroendocrine hormone that promotes sleep. However, the many other attributes of melatonin are less apparent and not as widely appreciated. The purpose of this review is to summarize the qualities of melatonin relating to immune function. The relevance of melatonin in partially or wholly restoring optimal function in a series of disorders related to immune dysfunction is addressed. This includes the potential relief of both autoimmune diseases and many other ailments involving abnormal immune responses, including the overall diminished effectivene...
Publication date: 15 September 2020Source: Life Sciences, Volume 257Author(s): Xiuhuan Chen, Cui Zhang, Yan Guo, Xin Liu, Tianxin Ye, Yuhong Fo, Chuan Qu, Jinjun Liang, Shaobo Shi, Bo Yang
Publication date: Available online 11 July 2020Source: Journal of Theoretical BiologyAuthor(s): Sofia H. Piltz, Cecilia G. Diniz Behn, Victoria Booth
DISCUSSION: The results demonstrated a dissociation of depression (higher amplitudes better) and cognitive (lower amplitudes better) related outcomes. Future work is warranted to elucidate the relationship between amplitude, electric field, neuroplasticity, and clinical outcomes. PMID: 32651051 [PubMed - as supplied by publisher]
Authors: Skewes MC, Gonzalez VM, Gameon JA, FireMoon P, Salois E, Rasmus SM, Lewis JP, Gardner SA, Ricker A, Reum M Abstract American Indian and Alaska Native (AI/AN) communities experience notable health disparities associated with substance use, including disproportionate rates of accidents/injuries, diabetes, liver disease, suicide, and substance use disorders. Effective treatments for substance use are needed to improve health equity for AI/AN communities. However, an unfortunate history of unethical and stigmatizing research has engendered distrust and reluctance to participate in research among many Native co...
CONCLUSION: The results of this study show that the four groups created from the two questions render it possible to distinguish persons in terms of indicators measuring the mental and general health of the Quebec population. Convergence of results in all three cycles lends additional credence to the use of questions on received diagnoses of mood and anxiety disorders. PMID: 32651010 [PubMed - as supplied by publisher]
Hi! I was wondering if anyone had tips for surviving early pregnancy as a physician. I feel awful and just want to curl in a ball and sleep. I'm an attending and getting coverage is a challenge.
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AbstractThe aim of this paper is to introduce a novel method using short-term EEG signals to separate depressed patients from healthy controls. Five common frequency bands (delta, theta, alpha, beta and gamma) were extracted from the signals as linear features, as well as, wavelet packet decomposition to break down signals into certain frequency bands. Afterwards, two entropy measures, namely sample entropy and approximate entropy were applied on the wavelet packet coefficients as nonlinear features, and significant features were selected via genetic algorithm (GA). Three machine-learning algorithms were used for classific...