BMC psychology
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Randomized Controlled Trial
Attentional and affective consequences of technology supported mindfulness training: a randomised, active control, efficacy trial.
Mindfulness training (MT) programs represent an approach to attention training with well-validated mental health benefits. However, research supporting MT efficacy is based predominantly on weekly-meeting, facilitator-led, group-intervention formats. It is unknown whether participants might benefit from neurofeedback-assisted, technology-supported MT (N-tsMT), in which meditation is delivered individually, without the need for a facilitator, travel to a training site, or the presence of a supportive group environment. Mirroring the validation of group MT interventions, the first step in addressing this question requires identifying whether N-tsMT promotes measurable benefits. Here, we report on an initial investigation of a commercial N-tsMT system. ⋯ Preliminary findings indicate that N-tsMT promotes modest benefits for attention and subjective well-being in a healthy community sample relative to an active control condition. However, the findings would benefit from replication in a larger sample, and more intensive practice or more comprehensive MT instruction might be required to promote the broader benefits typically reported in group format, facilitated MT.
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Epidemiological evidence suggests the impact psychological distress has on symptomatic outcomes (pain) among cancer patients. While studies have examined distress across various medical illnesses, few have examined the relationship of psychological distress and pain among patients diagnosed with cancer. This study aimed to examine the impact psychological distress-related symptoms has on pain frequency, presence of pain, and pain-related distress among oncology patients. ⋯ It must be recognized that psychological distress and experiences of pain frequency are contingent upon a myriad of factors that are not exclusive, but rather coexisting determinants of health. Further assessment of identified predictors such as age, race, socioeconomic status, and other physical and behavioral indicators are necessary, thus allowing for an expansive understanding of the daily challenges and concerns of individuals diagnosed with cancer, while providing the resources for clinicians, researchers, and policy makers to better meet the needs of this patient population.