Background: Osteoarthritis (OA) is a chronic disease primarily affecting older adults, mainly impacting the hip and knee joints. The increasing prevalence of OA contributes to rising healthcare demands and costs. Current OA treatment guidelines emphasize the importance of self-management education and guidance, particularly in promoting physical activity and weight management. In addition, improving sleep is crucial for managing OA. Developing effective self-management interventions necessitates a comprehensive understanding of the factors that facilitate these behaviors. Especially for changing health behaviors, it is important to focus on psychosocial factors. Therefore, this systematic review aimed to identify the psychosocial factors associated with physical activity, weight management, and sleep in adults with hip and/or knee OA. Methods: Five databases (PubMed, Embase, CINAHL, PyschINFO, Web of Science) were searched for observational studies reporting statistics on the association between psychosocial determinants and physical activity, weight management, or sleep in people with OA. The methodological quality was assessed using the Quality Assessment Tool for Observational Studies of the National Heart, Lung, and Blood Institute. After screening 5,812 articles, 31 studies were included for analysis. Results: The results showed that intention, self-efficacy, and willpower beliefs were positively associated with physical activity. Kinesiophobia, pain catastrophizing and pain-related fear were negatively associated with physical activity. Depressive symptoms, negative affect, pain catastrophizing, and low willpower beliefs were associated with poor weight management. Anxiety, depression, pain anxiety, and post-traumatic stress disorder were related to poor sleep behavior. Conclusions This review enhances the understanding of the psychosocial factors underlying physical activity, weight management and sleep in OA. These insights are valuable for developing tailored behavior change interventions aimed at improving physical activity, weight management and sleep in patients with hip and/or knee OA.
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Insomnia has a negative impact on mental health and is a potential risk factor for impulsive and problematic behavior. This multicenter, cross-sectional study investigated the prevalence of insomnia and underlying and maintaining factors in a group of forensic psychiatric inpatients (N = 281). Insomnia severity, subjective sleep quality, sleep hygiene and erroneous cognitions about sleep were measured with the Insomnia Severity Index, Pittsburgh Sleep Quality Index, Sleep Hygiene questionnaire and Dysfunctional Beliefs and Attitudes about Sleep, respectively. Impulsivity was derived from risk assessment instruments routinely completed by trained professionals. Almost half of the patients (48.7%) appeared to suffer from insomnia. Particularly moderate-severe insomnia (26.7%) was significantly associated with worse sleep quality, poorer sleep hygiene, stronger endorsement of dysfunctional sleep cognitions and higher impulsivity scores. It can be concluded that insomnia is rather common in forensic psychiatric patients. Insomnia appears related to various sleep hygiene behaviors and sleep-related cognitions, and probably also to diverse situational and environmental factors as well as a lack of autonomy. Cognitive behavioral therapy for insomnia, with some adjustments specific for this population, may be an effective intervention, ameliorating sleep problems and possibly also emotional and behavioral dysregulation.
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Despite growing popular interest for the mental health of electronic music artists, scientific research addressing this topic has remained largely absent. As such, the aim of the current study was to examine the mental health of electronic music artists, as well as a number of determinants. Using a cross-sectional quantitative design, a total of 163 electronic music artists participated in this study. In line with the two-continua model of mental health, both symptoms of depression/anxiety and well-being were adopted as indicators for mental health. Furthermore, standardized measures were used to assess potential determinants of mental health, including sleep disturbance, music performance anxiety, alcohol abuse, drug abuse, occupational stress, resilience, and social support. Results highlighted that around 30% of participants experienced symptoms of depression/anxiety. Nevertheless, the majority of these participants still demonstrated at least moderate levels of functioning and well-being. Sleep disturbance formed a significant predictor for both symptoms of depression/anxiety and well-being. Furthermore, resilience and social support were significant predictors for well-being. The results provide a first glimpse into the mental health challenges experienced by electronic music artists and support the need for increased research as well as applied initiatives directed at safeguarding their mental health.
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