Articles: middle-aged.
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Monomelic amyotrophy is a rare form of motor neuron disease in which the neurogenic atrophy is restricted to 1 limb, mostly the distal part of the arm. The disease most often occurs in Asia, especially in Japan and India, while in European countries, this disease is rarely recognized. Registration and publication of new cases of this disease aims to increase the awareness of clinicians about the existence of this disease in European countries, and with the aim of easier recognition and faster diagnosis of this essentially benign disorder. ⋯ Monomelic amyotrophy of the lower limb is a rare disease that should be considered in cases of slow progressive unilateral amyotrophy of a single leg, especially in younger and middle-aged men, not only in Asia but also in the Western Balkans and Europe.
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Chronic pain (CP) is often accompanied by mental disorders (MDs). However, little is known concerning the long-term effect of MDs, personality traits, and early-life traumatic events (ETEs) on CP course. Accordingly, we aimed to prospectively assess the associations of major depressive disorders (MDDs), anxiety disorders, personality traits, and ETEs with the incidence and the persistence of CP in middle-aged and older community dwellers. ⋯ Our results suggest that personality traits are associated with both CP occurrence and persistence, whereas the MDDs may be more associated with CP persistence. Both personality and MDD are accessible to psychotherapy, and MDD is also accessible to pharmacotherapy. Hence, these therapeutic measures might decrease the risk of CP and its persistence.
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To systematically evaluate the clinical efficacy of physical and mental exercise on cognitive performance in middle-aged people with mild cognitive impairment (MCI). ⋯ Mind-body exercise can improve cognitive performance, depressive status, and balance as well as increase αβ1-42 protein levels and decrease Tau protein levels in middle-aged and older adults with mild cognitive impairment.
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Periodontitis is increasingly associated with heart failure, and the goal of this study was to develop and validate a prediction model based on machine learning algorithms for the risk of heart failure in middle-aged and elderly participants with periodontitis. We analyzed data from a total of 2876 participants with a history of periodontitis from the National Health and Nutrition Examination Survey (NHANES) 2009 to 2014, with a training set of 1980 subjects with periodontitis from the NHANES 2009 to 2012 and an external validation set of 896 subjects from the NHANES 2013 to 2014. The independent risk factors for heart failure were identified using univariate and multivariate logistic regression analysis. ⋯ K-nearest neighbor model got the best prediction performance across all models. Out of 6 machine learning models, the K-nearest neighbor algorithm model performed the best. The prediction model offers early, individualized diagnosis and treatment plans and assists in identifying the risk of heart failure occurrence in middle-aged and elderly patients with periodontitis.