Dataset Information

COVID-19 Impacts Mental Health Outcomes and Ability/Desire to Participate in Research Among Current Research Participants.

ABSTRACT:

Objective

This study aimed to examine the impact of coronavirus disease 2019 (COVID-19) on current research participants' mental health outcomes, ability to adhere to behavioral intervention recommendations, and desire to participate in research.

Methods

A quantitative/qualitative cross-sectional survey was used among adults currently enrolled in health-related research (N = 250; 85% women; > 50% currently enrolled in behavioral weight loss intervention).

Results

COVID-19 was perceived as a severe threat by most (62.3%). Related to COVID-19, 29.6% of participants reported moderate/severe symptoms of anxiety/depression, and 68.4% reported moderate/severe posttraumatic stress disorder (PTSD) symptomatology, with women more likely to demonstrate moderate/severe anxiety/depression (P = 0.047) and PTSD symptomatology (P = 0.028) relative to men. Those with moderate/severe levels of anxiety/depression (P = 0.0154) and distress (P = 0.0330) were more likely to report a decreased desire to participate in research. Among those in behavioral interventions, individuals perceiving COVID-19 as a moderate/severe threat or experiencing moderate/severe depression or PTSD symptomatology were 4 to 19 times more likely to report that COVID-19 affected their ability to adhere to behavioral recommendations. Qualitative analysis identified four themes describing COVID-19's impact on research experiences: transition, remote intervention delivery, ability to adhere to program goals, and research participation interest.

Conclusions

These data suggest that participants engaged in health-related research perceive COVID-19 as a significant threat, affecting mental health, desire to participate in research, and ability to adhere to intervention recommendations.

SUBMITTER: Cardel MI

PROVIDER: S-EPMC7461293 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

COVID-19 Impacts Mental Health Outcomes and Ability/Desire to Participate in Research Among Current Research Participants.

Cardel Michelle I MI Manasse Stephanie S Krukowski Rebecca A RA Ross Kathryn K Shakour Rebecca R Miller Darci R DR Lemas Dominick J DJ Hong Young-Rock YR

Obesity (Silver Spring, Md.) 20201021 12

<h4>Objective</h4>This study aimed to examine the impact of coronavirus disease 2019 (COVID-19) on current research participants' mental health outcomes, ability to adhere to behavioral intervention recommendations, and desire to participate in research.<h4>Methods</h4>A quantitative/qualitative cross-sectional survey was used among adults currently enrolled in health-related research (N = 250; 85% women; > 50% currently enrolled in behavioral weight loss intervention).<h4>Results</h4>COVID-19 w ...[more]

PMID: 32845582

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Project description:BackgroundA longstanding gap in the reproductive health field has been the availability of a screening instrument that can reliably predict a person's likelihood of becoming pregnant. The Desire to Avoid Pregnancy Scale is a new measure; understanding its sensitivity and specificity as a screening tool for pregnancy as well as its predictive ability and how this varies by socio-demographic factors is important to inform its implementation.MethodsThis analysis was conducted on a cohort of 994 non-pregnant participants recruited in October 2018 and followed up for one year. The cohort was recruited using social media as well as advertisements in a university, school, abortion clinic and outreach sexual health service. Almost 90% of eligible participants completed follow-up at 12 months; those lost to follow-up were not significantly different on key socio-demographic factors. We used baseline DAP score and a binary variable of whether participants experienced pregnancy during the study to assess the sensitivity, specificity, area under the ROC curve (AUROC) and positive and negative predictive values (PPV and NPV) of the DAP at a range of cut-points. We also examined how the predictive ability of the DAP varied according to socio-demographic factors and by the time frame considered (e.g., pregnancy within 3, 6, 9 and 12 months).ResultsAt a cut-point of 2 on the 0-4 range of the DAP scale, the DAP had a sensitivity of 0.78, a specificity of 0.81 and an excellent AUROC of 0.87. In this sample the cumulative incidence of pregnancy was 16% (95%CI 13%, 18%) making the PPV 43% and the NPV 95% at this cut-point. The DAP score was the factor most strongly associated with pregnancy, even after age and number of children were taken into account. The association between baseline DAP score and pregnancy did not differ across time frames.ConclusionsThis is the first study to assess the DAP scale as a screening tool and shows that its predictive ability is superior to the limited pre-existing pregnancy prediction tools. Based on our findings, the DAP could be used with a cut-point selected according to the purpose.

Dataset Information

COVID-19 Impacts Mental Health Outcomes and Ability/Desire to Participate in Research Among Current Research Participants.

Objective

Methods

Results

Conclusions

Publications

COVID-19 Impacts Mental Health Outcomes and Ability/Desire to Participate in Research Among Current Research Participants.

Similar Datasets

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