Dataset Information

Effects of Meditation on Mental Health and Cardiovascular Balance in Caregivers.

ABSTRACT:

Background

Caring for a loved one can be rewarding but is also associated with substantial caregiver burden, developing mental outcomes and affecting happiness. The aim of this study was to determine the effects of a four-week, 16-h presential meditation program on physiological and psychological parameters and vagal nerve activity in high-burden caregivers, as compared to a control group.

Methods

A non-randomized repeated-measures controlled clinical trial was conducted.

Results

According to the ANCOVA results, the global happiness score (F = 297.42, p < 0.001) and the scores for all subscales were significantly higher in the experimental group than in the control group at 5 weeks. Anxiety levels were also significantly reduced in the experimental group (F = 24.92, p < 0.001), systolic (F = 16.23, p < 0.001) and diastolic blood (F = 34.39, p < 0.001) pressures, and the resting heart rate (F = 17.90, p < 0.05). HRV results revealed significant between-group differences in the HRV Index (F = 8.40, p < 0.05), SDNN (F = 13.59, p < 0.05), and RMSSD (F = 10.72, p < 0.05) in the time domain, and HF (F = 4.82 p < 0.05)) in the frequency domain, which were all improved in the experimental group after the meditation program.

Conclusions

Meditation can be a useful therapy to enhance the mental health and autonomic nervous system balance of informal caregivers, improving symptoms of physical and mental overload.

SUBMITTER: Diaz-Rodriguez L

PROVIDER: S-EPMC7828286 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Effects of Meditation on Mental Health and Cardiovascular Balance in Caregivers.

Díaz-Rodríguez Lourdes L Vargas-Román Keyla K Sanchez-Garcia Juan Carlos JC Rodríguez-Blanque Raquel R Cañadas-De la Fuente Guillermo Arturo GA De La Fuente-Solana Emilia I EI

International journal of environmental research and public health 20210113 2

<h4>Background</h4>Caring for a loved one can be rewarding but is also associated with substantial caregiver burden, developing mental outcomes and affecting happiness. The aim of this study was to determine the effects of a four-week, 16-h presential meditation program on physiological and psychological parameters and vagal nerve activity in high-burden caregivers, as compared to a control group.<h4>Methods</h4>A non-randomized repeated-measures controlled clinical trial was conducted.<h4>Resul ...[more]

PMID: 33450831

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Project description:IntroductionExisting studies have shown that mobile-based mindfulness meditation (MMM) can have a certain impact on nurses' mental health problems, but its specific effect and the effect on specific mental health problems such as stress, anxiety, depression, mindfulness, well-being and resilience are not clear.Methods and analysisThis study protocol follows the Preferred Reporting Items for Systematic Review and Meta-analysis Protocols guidelines. Electronic search through PubMed, Web of Science, EBSCO, Cochrane Library, CINAHL, PsycINFO, ERIC, Embase and three Chinese databases namely CNKI, Wan Fang and Chinese Biology Medicine disc. The inclusion criteria follow the PICO principle, which is defined translate the question into a searchable and answerable question . P (patient/population): clinical characteristics of patients; I (intervention or exposure): treatment measures or exposure factors of concern; C (comparison): control measure.; O (outcome): outcome indicator of concern. Registered nurses, preregistered nurses, midwives and nursing students will all be included, studies using MMM as intervention to improve mental health of nurses, compared with waitlist controls or traditional methods groups, outcomes assessment of stress, anxiety, depression, mindfulness, well-being and resilience will meet the inclusion criteria. Studies designed randomised controlled trails (RCTs) of quasiexperimental and written in English or Chinese will be eligible. Search time was from inception of each database to July 2022. Two reviewers screen and assess studies for inclusion and extract data independently; any dispute will be settled through discussion. If the discussion still fails, the third author will make a decision. For RCT, risk of bias will be assessed using Cochrane risk-of-bias tool for randomised trials (RoB 2), and for non-RCT studies, risk of bias in non-randomised studies of interventions (ROBINS-I) tool will be performed. Meta-analysis will be performed using RevMan software if sufficient number of comparable studies are retrieved.Ethics and disseminationThis is a study protocol of meta-analysis; no primary data will be collected, and no ethics assessment is required. The study results will be presented in a peer-reviewed scientific publication.Prospero registration numberCRD42021277932.

Project description:Context • The benefits of a mindfulness meditation (MM) intervention are most often evidenced by improvements in self-rated stress and mental health. Given the physiological complexity of the psychological stress system, it is likely that some people benefit significantly, whereas others do not. Clinicians and researchers could benefit from further exploration to determine which baseline factors can predict clinically significant improvements from MM. Objectives • The study intended to determine (1) whether the baseline measures for participants who significantly benefitted from MM training were different from the baseline measures of participants who did not, and (2) whether a classification analysis using a decision-tree, machine-learning approach could be useful in predicting which individuals would be most likely to improve. Design • The research team performed a secondary analysis of a previously completed randomized, controlled clinical trial. Setting • The study occurred at the Oregon Health & Science University (Portland, OR, USA) and in participants' homes. Participants • Participants were 134 stressed, generally healthy adults from the metropolitan area of Portland, Oregon, who were 50 to 85 y old. Intervention • Participants were randomly assigned either to a 6-wk MM intervention group or to a waitlist control group, who received the same MM intervention after the waitlist period. Outcome Measures • Outcome measures were assessed at baseline and at 2-mo follow-up intervals. A responder was defined as someone who demonstrated a moderate, clinically significant improvement on the mental health component (MHC) of the short-form health-related quality of life (SF-36) (ie, a change ≥4). The MHC had demonstrated the greatest effect size in the primary analysis of the previously mentioned randomized, controlled clinical trial. Potential predictors were demographic information and baseline measures related to stress and affect. Univariate statistical analyses were performed to compare the values of predictors in the responder and nonresponder groups. In addition, predictors were chosen for a classification analysis using a decision tree approach. Results • Of the 134 original participants, 121 completed the MM intervention. As defined previously, 61 were responders and 60 were nonresponders. Analyses of the baseline measures demonstrated significant differences between the 2 groups in several measures: (1) the positive and negative affect schedule negative subscale (PANAS-neg), (2) the SF-36-MHC, and (3) the SF-36 energy/fatigue, with clinically worse scores being associated with greater likelihood of being a responder. Disappointingly, the decision-tree analyses were unable to achieve a classification rate of better than 65%. Conclusions • The differences in predictor variables between responders and nonresponders to an MM intervention suggested that those with worse mental health at baseline were more likely to improve. Decision-tree analysis was unable to usefully predict who would respond to the intervention.

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Project description:Aim: Informal caregivers have an important role in bridging the gap between the assistance care recipients need and what can be provided by the health care systems across Europe. The burden of the caregiving role places a significant threat to caregiver health, and the vast majority of caregiver's report stress and emotional strain, depression, and increased rates of chronic diseases. In line with this, strengthening the caregiver's mental health is one of the main goals for optimal caregiving. Caregivers already struggle with the demand of their role while coping with health problems, social, family, and work obligations. The solution for the caregiver's mental health needs to be accessible, low cost, and time-effective. This scoping review investigates digital mental health tools available as a mean of supporting the mental health of caregivers. Method: Databases searched include Summon search box, the Cochrane Library, and PubMed. Three groups of keywords were combined: relating to digital mental health interventions for caregivers, digital mental health interventions and stress in elderly care, and digital mental health interventions and burden in elderly care. Results: Caregivers reported that digital mental health tools have an overall positive role in their health. Coping skills, emotion regulation, skill building, and education are found to be important aspects of digital mental health tools. There was a noted lack of digital mental health apps available specifically for the caregiver of older adults. Furthermore, the digital mental health tools, divided into three categories in this review, focused either on building skills or educating caregivers and assisting with the duties rather than the mental health of the caregiver itself. As repeatedly suggested in the reviewed studies, digital mental health interventions overall contribute to reducing the caregiver burden with a limitation of addressing one aspect of caregiver needs -i.e., specific coping skills or education regarding illnesses such as Alzheimer's disease and Dementia. The lack of all-encompassing, data and theory-driven digital mental health tools for addressing and supporting the caregiver's mental health is evident.

Dataset Information

Effects of Meditation on Mental Health and Cardiovascular Balance in Caregivers.

Background

Methods

Results

Conclusions

Publications

Effects of Meditation on Mental Health and Cardiovascular Balance in Caregivers.

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