Recent scientific/intellectual movements in biomedicine

Recovery capital in action: How is gender understood and employed by men and women recovering from gambling disorder?

Gender is a multidimensional construct that differentiates males and females according to its meanings in different socio-cultural contexts. Recovery capital (RC) describes the internal and external resources individuals employ and/or have access to when overcoming addictions. Negative RC refers to elements that hinder recovery. The literature on gender and RC is baffling since unlike quantitative studies that have found no differences between men and women in the levels of RC, qualitative comparisons indeed underscore differences. This study employed qualitative and quantitative research methods to explore how men and women with gambling disorder (GD) understand and employ gender as a factor in their recovery. Participants with GD (N = 133, 39 women) answered an open-ended question on gender as a component in their recovery. Content analysis revealed that 41.35% of the interviewees did not consider gender as a significant factor in recovery. By contrast, 58.65% viewed gender as important to recovery, indicating four gender-related elements that either enhance and/or hinder recovery: gender stereotypes, gender roles, mixed-gender therapeutic space, and sex in exchange for money for gambling. Chi-square analyses showed no differences between men and women in the distribution of the relevance of gender to recovery. Both groups reported similar perceptions of gender in relation to recovery, and identified similar gender-related specific elements that enhanced or hindered recovery from GD except for exchanging sex for money for gambling. These findings are explained by a combination of macro and micro-level theories that result in a new conceptualization of RC. We coined the term "Recovery Capital in Action" to show how the "RC toolkit" that individuals employ can hinder or enhance their recovery depending on cultural context, and that gender can be both a negative and a positive RC. Mental health professionals should consider the interplay between gender and the socio-cultural contexts during recovery.

Wearable Technology to Detect Motor Fluctuations in Parkinson's Disease Patients: Current State and Challenges

Monitoring of motor symptom fluctuations in Parkinson's disease (PD) patients is currently performed through the subjective self-assessment of patients. Clinicians require reliable information about a fluctuation's occurrence to enable a precise treatment rescheduling and dosing adjustment. In this review, we analyzed the utilization of sensors for identifying motor fluctuations in PD patients and the application of machine learning techniques to detect fluctuations. The review process followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Ten studies were included between January 2010 and March 2021, and their main characteristics and results were assessed and documented. Five studies utilized daily activities to collect the data, four used concrete scenarios executing specific activities to gather the data, and only one utilized a combination of both situations. The accuracy for classification was 83.56-96.77%. In the studies evaluated, it was not possible to find a standard cleaning protocol for the signal captured, and there is significant heterogeneity in the models utilized and in the different features introduced in the models (using spatiotemporal characteristics, frequential characteristics, or both). The two most influential factors in the good performance of the classification problem are the type of features utilized and the type of model.