scholarly journals Ecological Momentary Assessment with smartphones for measuring mental health problems in adolescents

2016 ◽  
Vol 6 (3) ◽  
pp. 303 ◽  
Author(s):  
Ernesto Magallón-Neri ◽  
Teresa Kirchner-Nebot ◽  
Maria Forns-Santacana ◽  
Caterina Calderón ◽  
Irina Planellas
Author(s):  
Eiko I Fried ◽  
Faidra Papanikolaou ◽  
Sacha Epskamp

Students are at elevated risk for mental health problems. The COVID-19 pandemic and public health responses such as school and university closures caused once-in-a-lifetime disruptions of daily life for most students. In March 2020, during the beginning of the outbreak in the Netherlands, we used Ecological Momentary Assessment to follow 80 bachelor students 4 times a day for 2 weeks. Despite rapidly increasing rates of infections and deaths, short-term dynamics revealed slight decreases of mental health problems, COVID-19 related concerns, and loneliness, especially in the first few days of the study. Students showed no changes in the frequency of in-person social activities. Dynamic network models indicated that social activities were negatively related to being at home, and identified reinforcing vicious cycles among mental health problems and being alone, which in turn predicted concerns about COVID-19. Findings and implications are discussed in detail.


2021 ◽  
pp. 216770262110178
Author(s):  
Eiko I. Fried ◽  
Faidra Papanikolaou ◽  
Sacha Epskamp

For many students, the COVID-19 pandemic caused once-in-a-lifetime disruptions of daily life. In March 2020, during the beginning of the outbreak in the Netherlands, we used ecological momentary assessment to follow 80 undergraduate students four times per day for 14 days to assess mental health, social contact, and COVID-19-related variables. Despite rapidly increasing rates of infections and deaths, we observed decreases in anxiety, loneliness, and COVID-19-related concerns, especially in the first few days. Other mental health variables, such as stress levels, remained stable, whereas depressive symptoms increased. Despite social-distancing measures implemented by the Dutch government halfway through our study, students showed no changes in the frequency of in-person social activities. Dynamic network models identified potential vicious cycles between mental health variables and being alone, which predicted concerns about COVID-19 and was followed by further mental health problems. Findings and implications are discussed in detail.


2020 ◽  
Author(s):  
Raeanne Cristine Moore ◽  
Colin Andrew Depp ◽  
Philip D Harvey ◽  
Amy E Pinkham

BACKGROUND The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental illness, have been largely overlooked. OBJECTIVE This paper presents the protocol for a study that aims to examine the mental health impact of COVID-19 and social distancing behaviors in people with serious mental illness and the behaviors undertaken to prevent COVID-19 infection in this group. METHODS Participants will include individuals with serious mental illness (eg, schizophrenia, bipolar disorder) and nonpsychiatric control participants who are currently participating in or have previously participated in several ongoing parent observational studies. Data will be collected from April 2020 through August 2020. Participants will complete phone interviews at 2 time points to assess their current emotional functioning and discuss the measures they have taken to prevent COVID-19 infection. Baseline (pre-COVID-19) mental health, sampled by ecological momentary assessment over an extended period, will be compared with current mental health, also sampled by ecological momentary assessment over an extended period. Demographic, cognitive, and psychosocial factors at baseline will be used to examine risk and resilience to current mental health and coping. RESULTS The inclusion of participants for the first round of telephone assessments started on April 3, 2020 and will be completed by May 31, 2020. As of April 30, 2020, 101 individuals had completed these first-round assessments. The second round of telephone assessments will likely occur between June 1, 2020, and August 31, 2020. Study results will be published in peer-reviewed scientific journals. CONCLUSIONS Our findings will have broad implications for understanding the psychological consequences of COVID-19 among vulnerable persons with serious mental illness and will provide the opportunity to identify targets to reduce negative outcomes in the future. We also hope our efforts will provide a roadmap and resources for other researchers who would like to implement a similar approach. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/19203


10.2196/19203 ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. e19203 ◽  
Author(s):  
Raeanne Cristine Moore ◽  
Colin Andrew Depp ◽  
Philip D Harvey ◽  
Amy E Pinkham

Background The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental illness, have been largely overlooked. Objective This paper presents the protocol for a study that aims to examine the mental health impact of COVID-19 and social distancing behaviors in people with serious mental illness and the behaviors undertaken to prevent COVID-19 infection in this group. Methods Participants will include individuals with serious mental illness (eg, schizophrenia, bipolar disorder) and nonpsychiatric control participants who are currently participating in or have previously participated in several ongoing parent observational studies. Data will be collected from April 2020 through August 2020. Participants will complete phone interviews at 2 time points to assess their current emotional functioning and discuss the measures they have taken to prevent COVID-19 infection. Baseline (pre-COVID-19) mental health, sampled by ecological momentary assessment over an extended period, will be compared with current mental health, also sampled by ecological momentary assessment over an extended period. Demographic, cognitive, and psychosocial factors at baseline will be used to examine risk and resilience to current mental health and coping. Results The inclusion of participants for the first round of telephone assessments started on April 3, 2020 and will be completed by May 31, 2020. As of April 30, 2020, 101 individuals had completed these first-round assessments. The second round of telephone assessments will likely occur between June 1, 2020, and August 31, 2020. Study results will be published in peer-reviewed scientific journals. Conclusions Our findings will have broad implications for understanding the psychological consequences of COVID-19 among vulnerable persons with serious mental illness and will provide the opportunity to identify targets to reduce negative outcomes in the future. We also hope our efforts will provide a roadmap and resources for other researchers who would like to implement a similar approach. International Registered Report Identifier (IRRID) DERR1-10.2196/19203


2020 ◽  
Vol 292 ◽  
pp. 113359
Author(s):  
Molly Gromatsky ◽  
Sarah R. Sullivan ◽  
Angela Page Spears ◽  
Emily Mitchell ◽  
Samantha Walsh ◽  
...  

2021 ◽  
Author(s):  
Matthias Haucke ◽  
Shuyan Liu ◽  
Stephan Heinzel

BACKGROUND The first wave of the COVID-19 pandemic 2020 increased mental health problems. However, little is known about mental health problems during a low incidence phase without strict public health measures. OBJECTIVE We focused on a vulnerable population, who experienced at least mild COVID-19 related distress and loneliness. The goal was to investigate how COVID-19 related distress, COVID-19 case numbers, mood regulation and loneliness may affect mental health after a strict lockdown has ended. METHODS During a post-lockdown period in Germany (between 8. August 2020 and 01. November 2020), we conducted an ecological momentary assessment (EMA). To estimate moment-to moment and day-to-day negative mood inertia, we conducted a three-level autoregressive (AR) model. RESULTS We found that information exposure and active daily COVID-19 cases did not have an impact on negative mood amid a post-lockdown. However, we found a day-to-day carry over effect of negative mood. Moreover, worrying about COVID-19, feeling restricted by COVID-19, and feeling lonely increased negative mood. CONCLUSIONS Mental health of a vulnerable population is impacted by COVID-19 related stressors, even under a lenient lockdown. This study highlights the need to protect mental health during a post-pandemic phase.


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