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• Compared to passive control, dance improves mental health and quality of life in individuals with Parkinson's disease. • Non-partnered dance is more effective in improving mental health than partnered dance. • Higher total dosage of dance intervention negatively correlates with the effects on mental health. Parkinson's disease (PD) is a neurodegenerative disease that affects millions of individuals worldwide. Dance has emerged as a comprehensive intervention for enhancing well-being in this population. This meta-analysis aimed to assess the effectiveness of dance on mental health and quality of life among individuals with PD. Three databases were searched in December 2022. Research papers comparing the effects of dance with a non-dance control on the quality of life or mental health of individuals with PD were included. Two authors independently screened the studies, extracted data, and assessed methodological quality of eligible studies. To address the interdependence of effect sizes within studies, the three-level meta-analysis approach was employed to analyze the data. Thirteen trials involving a total of 496 participants were included, with 11 being subjected to statistical analysis. The results indicated that dance had a positive impact on mental health (g = 0.43, 95 % CI = [0.11, 0.75]) and quality of life (g = 0.46, 95 % CI = [-0.04, 0.95]) when compared to passive control groups. Moderator analyses revealed that non-partnered dance and dance interventions with lower total dosages were particularly beneficial for mental health. Dance interventions are an effective lifestyle activity for enhancing mental health and quality of life in individuals with PD. A theoretical framework is proposed to explain the impact of dance on well-being from neurological, social, physical, and psychological perspectives. [ABSTRACT FROM AUTHOR]

This paper examines the impact of residence-based ethnic networks on mental health; such networks are defined as the concentration of residents from the same country of origin in a neighborhood. To estimate the effect, we utilize administrative registry data, together with data on quasi-random assignment of apartments to non-Western households with housing needs to various neighborhoods. After controlling for individual characteristics, time-invariant neighborhood characteristics, and general practitioners (GP) fixed effects, we find that a 1–percentage-point increase in the concentration of residence-based co-ethnics (RBCEs) increases the probability of being treated with psychiatric medications by 0.7-percentage point over a 5-year period after the assignment. With 19% of the population being treated with psychiatric medications the year before assignment, the result translates into an effect size of 3.7%. The results indicate that relatively high concentrations of co-ethnics treated with psychiatric medications increase the probability of being treated with psychiatric medications. The positive impact on treatment with psychiatric medication reflects an increase in the demand for these drugs when moving into a neighborhood with neighbors of the same ethnicity. If new residents are in good mental health condition when moving, these results suggest that moving into a neighborhood with a high co-ethic concentration worsens mental health status. However, as the population in this study is a vulnerable group an increase in treatment with psychiatric medications likely reflects that untreated mental health problems are treated, and the mental health status improved. The group of non-Western immigrants in this study differs significantly from the population in general, thus, results may not be generalized to all non-Western immigrants. • We study the impact of residence-based ethnic networks on mental health. • We utilize quasi-random assignment of immigrants in urgent housing needs. • Residence-based ethnic networks increase the use of psychiatric medication. • The characteristics of co-ethnic neighbors impact significantly mental health. [ABSTRACT FROM AUTHOR]

Socioeconomic status (SES) is a robust correlate of mental health, and emerging research indicates that life course trajectories of SES (i.e., social mobility) may be more predictive for health outcomes than point-in-time SES assessments. This paper presents five primary meta-analyses to determine how mental health differs between social mobility groups. We conducted a systematic review of PsycINFO, Web of Science, and PubMed for studies of social mobility and mental health. We used random-effects multilevel meta-analyses to compare mental health problems between individuals who experienced upward mobility, downward mobility, stable high SES, and stable low SES. We included data from 21 studies and 157,763 unique participants yielding 105 effect sizes. Upwardly mobile participants experienced more mental health problems than stable high SES participants (d = 0.11), fewer mental health problems than stable low SES participants (d = −0.24), and fewer mental health problems than downwardly mobile participants (d = −0.17). Downwardly mobile individuals experienced more mental health problems than stable high SES participants (d = 0.26) and fewer mental health problems than stable low SES participants (d = −0.10). Subgroup analyses revealed that the magnitude of effects did not differ by continent of study, type of generational mobility (intergenerational vs. intragenerational), or SES indicator. Meta-regressions with continuous moderators (age, gender, race, study quality) were also non-significant. Taken together, these results indicate that both upwardly and downwardly mobile individuals experience more mental health problems than those who are persistently advantaged, and they both experience fewer mental health problems than those who are persistently disadvantaged. Our findings suggest that while current SES has a stronger association with adult mental health than childhood SES, it is important to also consider the impact of early life and prior generation SES to account for lingering effects of early disadvantage. • Social mobility has small but significant effects on subsequent mental health. • The socially mobile have more mental health problems than the always-advantaged. • The socially mobile have fewer mental health problems than the always-disadvantaged. • Current social class influences mental health more than early life social class. • Early life social class still has some lingering consequences for mental health. [ABSTRACT FROM AUTHOR]

In this paper we examine the role of informed consent to capacity assessment, focussing primarily on the two jurisdictions of England and Wales, and Ireland. We argue that in both jurisdictions, a capacity assessment should be regarded as a distinct intervention, separate from the 'original' intervention at issue, and that specific informed consent to the assessment should generally be sought in advance. As part of this, we consider what information should be provided so as to ensure informed consent. Having established a baseline requirement for informed consent, we also recognise that informed consent to assessment will not always be possible, either because the person is unable to understand the information about assessment or because the person refuses to be assessed and so, in the final part of the article, we explore how to proceed when informed consent is either not possible or not forthcoming, including an analysis of the implications of the statutory presumption of capacity. [ABSTRACT FROM AUTHOR]