Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study.
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SUBMITTER: Cobo A
PROVIDER: S-EPMC8060530 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The COVID-19 pandemic was a source of significant stress due to health and safety concerns and measures to control the virus' spread, such as mobility restrictions. This measure was especially demanding for parents with school aged children, who had to find new work-family balance as their children participate in online education while attempting to work remotely. To evaluate parents' stress trajectories during the pandemic, we conducted Ecological Momentary Assessments (EMAs) during lockdown for 29 days in 68 families in Santiago, Chile. In addition, we evaluated the role of educational level and income, co-parenting, and number of children in parents' stress trajectories. Our results showed that during the first weeks of lockdown expected protective factors (i.e., income and co-parental support) were not able to influence parents' daily stress management. Moreover, parents with higher educational levels reported worse stress adaptation than less educated parents. On the other hand, co-parental conflict was significantly associated with parent's stress. Our study captured an acute response to COVID-19 related challenges. This study contributes to understanding how parents adjust to stress during adverse circumstances such as the COVID-19 pandemic.
| S-EPMC10252560 | biostudies-literature
Project description:BackgroundSuicide is a prevalent public health concern in the United States across all age groups. Research has emphasized the need to identify risk markers that prevent suicide along shorter timeframes, such as days to weeks. Furthermore, little has been done to explore the relative significance of factors that can predict short-term suicide risk or to evaluate how daily variability in these factors impacts suicidal ideation or behavior. This proposed project aims to identify risk factors that best predict near-time changes in suicidal ideation and examine potential interactions between these factors to predict transitions into suicidal thinking or behaviors.ObjectiveThe aim of this proposed study is threefold: (1) To identify which psychological risk factors are most strongly associated with proximal changes in suicide risk across days and weeks. (2) To evaluate theoretical assumptions of the Integrative-Motivational-Volitional Theory of Suicide. (3) To determine how disruptions in physiological arousal interact with theoretical mechanisms of risk to predict concurrent and short-term prospective increase in suicidal thoughts and behaviors.MethodsA daily diary or ecological momentary assessment design will be utilized with 200 participants. Participants will complete 2 in-person visits separated by 3 weeks during which they will complete 3 brief daily assessments within their natural environments using the ilumivu research app on a smart device. Research will occur at the Mayo Clinic Health System (MCHS) Eau Claire site. Participants will be recruited through chart review and standard care delivery assessment.ResultsThis manuscript outlines the protocol that will guide the conduct of the forthcoming study.ConclusionsThe proposed project aims to lead efforts using technological advances to capture microchanges in suicidal thinking/behavior over shorter timeframes and thereby guide future clinical assessment and management of suicidal patients. Results of this study will generate robust evidence to evaluate which risk factors predict proximal changes in suicidal ideation and behaviors. They will also provide the ability to examine potential interactions with multiple theoretically derived risk factors to predict proximal transitions into worsening suicidal thinking or behaviors. Such information will provide new targets for intervention that could ultimately reduce suicide-related morbidity and mortality.International registered report identifier (irrid)PRR1-10.2196/37583.
| S-EPMC9328781 | biostudies-literature
Project description:AimsTo describe the research protocol for an ecological momentary assessment (EMA) designed to examine patterns of suicidal ideation and relevant psychosocial stress indicators in adults at risk for suicide.DesignThis observational and longitudinal study will collect data for 28 consecutive days.MethodsA total of 150 adults at risk for suicide will be recruited from a single suicide prevention centre and an outpatient clinic in Korea. Self-report questionnaires will be administrated during weeks 0, 1, 3 and 5. Participants will receive text messages three times a day for 4 weeks prompting them to access an online survey link for daily mood survey including depression, anxiety, stress and suicidal ideation. In addition, for the first 2 weeks, they will wear an actigraphy device designed to collect actigraphic data in terms of sleep patterns and physical activity. Data analyses such as descriptive statistics, independent t-tests, one-way ANOVA, chi-squared statistics and time-series and correlation analyses will be performed using IBM SPSS 26.0 and SAS version 9.3. The study received funding from National Research Foundation of Korea in February 2020. Institutional Review Board approval for our study was obtained in April 2021.DiscussionsThis study will yield fundamental information about daily patterns of suicide ideation and psychosocial stress indicators to develop preventive interventions for adults at risk for suicide.ImpactOur study will contribute to the development of EMAs and interventions for adults at risk for suicide aimed at providing timely and individualized mental health services in a community setting.Trial registrationThe trial is registered with the Clinical Research Information Service (CRIS). CRIS Registration Number: KCT0006165.
| S-EPMC9303451 | biostudies-literature
Project description:ObjectivesIn the wake of the coronavirus disease 2019 (COVID-19) pandemic, we have witnessed a rise in the instances of mental health problems and the suicide-related mortality rates. This study aims to identify the suicide-related risk factors and stressors to determine the groups at a greater risk of attempting suicide during the COVID-19 lockdown.MethodsThis retrospective study examined 29 cases of attempted suicide during the 3-month COVID-19 lockdown in KSA. The suicide risk factors were evaluated using specific instrument the modified (SAD PERSONS) scale. It is an acronym for sex, age, depression, previous attempt, excess alcohol, rational thinking loss, social status, organized plan, no social supports and stated future intent.ResultsThe lockdown stressors that may have triggered suicidal behaviours were identified as follows: psychological distress, relationship problems, financial difficulties, and extreme fear of the COVID-19 infection. While all age groups carried the risk of attempting suicide during the lockdown, patients with psychiatric disorders and women accounted for 69% and 65.5% of the cohort, respectively. Factors like hopelessness and depression were highly related to suicide attempts, as well as the statement of future intent to repeat the attempt, at 72.4% and 65.5% respectively. Almost two-thirds of the attempts made were serious, and many women felt unsafe in their own homes during the lockdown.ConclusionPatients with pre-existing psychiatric disorders and women carry high risk of attempting suicide during the COVID-19 lockdown. This study offers insights on the greater outreach efforts that can be carried out for these patients by calling for the prioritization of mental health care, improvement of domestic violence services, and strengthening of suicide prevention strategies.
| S-EPMC8186882 | biostudies-literature
Project description:BackgroundAnxiety symptoms during public health crises are associated with adverse psychiatric outcomes and impaired health decision-making. The interaction between real-time social media use patterns and clinical anxiety during infectious disease outbreaks is underexplored.ObjectiveWe aimed to evaluate the usage pattern of 2 types of social media apps (communication and social networking) among patients in outpatient psychiatric treatment during the COVID-19 surge and lockdown in Madrid, Spain and their short-term anxiety symptoms (7-item General Anxiety Disorder scale) at clinical follow-up.MethodsThe individual-level shifts in median social media usage behavior from February 1 through May 3, 2020 were summarized using repeated measures analysis of variance that accounted for the fixed effects of the lockdown (prelockdown versus postlockdown), group (clinical anxiety group versus nonclinical anxiety group), the interaction of lockdown and group, and random effects of users. A machine learning-based approach that combined a hidden Markov model and logistic regression was applied to predict clinical anxiety (n=44) and nonclinical anxiety (n=51), based on longitudinal time-series data that comprised communication and social networking app usage (in seconds) as well as anxiety-associated clinical survey variables, including the presence of an essential worker in the household, worries about life instability, changes in social interaction frequency during the lockdown, cohabitation status, and health status.ResultsIndividual-level analysis of daily social media usage showed that the increase in communication app usage from prelockdown to lockdown period was significantly smaller in the clinical anxiety group than that in the nonclinical anxiety group (F1,72=3.84, P=.05). The machine learning model achieved a mean accuracy of 62.30% (SD 16%) and area under the receiver operating curve 0.70 (SD 0.19) in 10-fold cross-validation in identifying the clinical anxiety group.ConclusionsPatients who reported severe anxiety symptoms were less active in communication apps after the mandated lockdown and more engaged in social networking apps in the overall period, which suggested that there was a different pattern of digital social behavior for adapting to the crisis. Predictive modeling using digital biomarkers-passive-sensing of shifts in category-based social media app usage during the lockdown-can identify individuals at risk for psychiatric sequelae.
| S-EPMC8448085 | biostudies-literature
Project description:BackgroundPeople with psychotic disorders are at an increased risk of suicide, but there is little understanding of suicidal ideation (SI) in this population. The Interpersonal Psychological Theory of Suicide posits that perceived burdensomeness (PB) and thwarted belonginess (TB) contribute to SI. To our knowledge there are no studies using ecological momentary assessment (EMA) to assess these interpersonal risk factors in a sample of individuals with psychotic disorders. This study investigated the validity and variability of PB and TB, and whether SI, EMA-measured psychotic symptoms, mood, and social context relate to PB and TB.MethodNinety-six participants with a psychotic disorder, including mood disorders with psychosis completed in-lab assessments of current SI, and then EMA surveys on a smartphone 3×/day for 10 days, answering questions about burdensomeness, belongingness, symptoms (i.e., hearing voices, experiencing suspiciousness), mood (i.e., happy, sad), and social context.ResultsBurdensomeness varied within-participants less than belongingness (t (95) = -3.74, p=< .001). Participants with SI had higher mean burdensomeness ratings (t (94) = -2.70, p < .01) and lower mean belongingness ratings (t (94) = 3.68, p < .001) than did participants without SI. Being with others, greater psychotic experiences, less happiness, and greater sadness related to greater burdensomeness. SI status, being alone, greater psychotic experiences, less happiness, and greater sadness related to less belongingness.ConclusionsThis study examined the real-time influences of SI and psychotic symptoms on burdensomeness and belongingness. Hearing voices, suspiciousness, mood, and SI are related to interpersonal suicide-related risk factors. In this sample, social context had a differential effect on burdensomeness and belongingness.
| S-EPMC8621669 | biostudies-literature
Project description:•EMA data were analyzed using network analysis (e.g., temporal networks).•Suicidal ideation at t was predicted by itself and perceived burdensomeness at t - 1.•Suicidal ideation at t - 1 predicted perceived burdensomeness, depression etc. at t.•At the same beep, suicidal ideation was related to all variables in the network.•Patients with higher average suicidal ideation had higher average hopelessness.
| S-EPMC6889482 | biostudies-literature
Project description:BackgroundConsumption of distressing news media, which substantially increased during the COVID-19 pandemic, has demonstrable negative effects on mental health.ObjectiveThis study examines the proximal impact of daily exposure to news about COVID-19 on mental health in the first year of the pandemic.MethodsA sample of 546 college students completed daily ecological momentary assessments (EMAs) for 8 weeks, measuring exposure to news about COVID-19, worry and optimism specifically related to COVID-19, hopelessness, and general worry.ResultsParticipants completed >80,000 surveys. Multilevel mediation models indicated that greater daily exposure to news about COVID-19 is associated with higher same-day and next-day worry about the pandemic. Elevations in worry specifically about COVID-19 were in turn associated with greater next-day hopelessness and general worry. Optimism about COVID-19 mediated the relationship between daily exposure to COVID-19 news and next-day general worry but was not related to hopelessness.ConclusionsThis study demonstrates the mental health impact of daily exposure to COVID-19 news and highlights how worry about the pandemic contributes over time to hopelessness and general worry.
| S-EPMC9135112 | biostudies-literature
Project description:BackgroundCollege students' mental health may be disproportionally affected by the COVID-19 pandemic because of the abrupt shift off campus and subsequent loss of a social network and potential long-term impact on job prospects.ObjectiveWe sought to assess the nature of COVID-19's mental health impact among a sample of undergraduates who were experiencing the pandemic as it occurred in real time.MethodsIn total, 140 college students completed smartphone-based ecological momentary assessments of anxiety and optimism related to COVID-19 and other generic mental health variables 6 times daily.ResultsParticipants completed >23,750 surveys. Overall, >75% of these surveys indicated at least some level of anxiety about COVID-19. On average, the proportion of responses each day at the highest levels of anxiety about COVID-19 was 7 times greater than the proportion of responses at the highest levels of non-COVID-19-specific anxiety. Structural change analyses indicated a significant downward trend in COVID-19 anxiety after the first week of June, but even at the lowest point, >15% of the participants in the sample still reported high levels of COVID-19 anxiety each day. Participants felt more anxious about COVID-19 on days when the number of new cases and deaths due to COVID-19 were higher. When participants felt anxious about COVID-19, they also felt sad, anxious (in general), and had a greater desire to drink and use drugs. Participants felt more optimistic about COVID-19 when they received more support from others and from their university.ConclusionsThis study demonstrated the widespread mental health impact that COVID-19 has had on college students.
| S-EPMC7744138 | biostudies-literature
Project description:This paper presents a new Bayesian method for analyzing Ecological Momentary Assessment (EMA) data and applies this method in a re-analysis of data from a previous EMA study. The analysis method has been implemented as a freely available Python package EmaCalc, RRID:SCR 022943. The analysis model can use EMA input data including nominal categories in one or more situation dimensions, and ordinal ratings of several perceptual attributes. The analysis uses a variant of ordinal regression to estimate the statistical relation between these variables. The Bayesian method has no requirements related to the number of participants or the number of assessments by each participant. Instead, the method automatically includes measures of the statistical credibility of all analysis results, for the given amount of data. For the previously collected EMA data, the analysis results demonstrate how the new tool can handle heavily skewed, scarce, and clustered data that were collected on ordinal scales, and present results on interval scales. The new method revealed results for the population mean that were similar to those obtained in the previous analysis by an advanced regression model. The Bayesian approach automatically estimated the inter-individual variability in the population, based on the study sample, and could show some statistically credible intervention results also for an unseen random individual in the population. Such results may be interesting, for example, if the EMA methodology is used by a hearing-aid manufacturer in a study to predict the success of a new signal-processing method among future potential customers.
| S-EPMC9981641 | biostudies-literature