A Novel Artificial Intelligence-Powered Emotional Intelligence and Mindfulness App (Ajivar) for the College Student Population During the COVID-19 Pandemic: Quantitative Questionnaire Study DOI Creative Commons
Ronda Sturgill, Mary Martinasek, Trine Schmidt

и другие.

JMIR Formative Research, Год журнала: 2020, Номер 5(1), С. e25372 - e25372

Опубликована: Дек. 9, 2020

Background Emotional intelligence (EI) and mindfulness can impact the level of anxiety depression that an individual experiences. These symptoms have been exacerbated among college students during COVID-19 pandemic. Ajivar is app utilizes artificial (AI) machine learning to deliver personalized EI training. Objective The main objective this research study was determine effectiveness delivering curriculum techniques using AI conversation platform, Ajivar, improve Methods A total 99 subjects, aged 18 29 years, were recruited from a second-semester group freshmen students. All participants completed online TestWell Wellness Inventory at start end 14-week semester. comparison members (49/99, 49%) given routine mental wellness instruction. intervention (50/99, 51%) required complete activities in addition instruction semester, which coincided with onset This also assessments evaluate for anxiety, 7-item Generalized Anxiety Disorder (GAD-7) scale, depression, 9-item Patient Health Questionnaire (PHQ-9). Results Study reported mean age 19.9 (SD 1.94) years; 27% (27/99) male 60% (59/99) identified as Caucasian. No significant demographic differences existed between groups. Subjects interacted time 1424 1168) minutes. There decrease measured by GAD-7: score 11.47 1.85) compared 6.27 1.44) (P<.001). reduction PHQ-9: 10.69 2.04) 6.69 2.41) (P=.001). Both groups independently had improvements pretest posttest. subgroups social awareness spirituality inventories showed improvement group. In subgroup (11/49, 22%) where GAD-7 available pandemic, there increase (mean 11.63, SD 2.16) mid-March (ie, pandemic) 13.03, 1.48; P=.23), followed period 5.9, 1.44; P=.001). Conclusions It possible training scalable way resulting student population.

Язык: Английский

Longitudinal Trajectories of Study Characteristics and Mental Health Before and During the COVID-19 Lockdown DOI Creative Commons
Llewellyn E. van Zyl, Sebastiaan Rothmann, Mariëlle Zondervan‐Zwijnenburg

и другие.

Frontiers in Psychology, Год журнала: 2021, Номер 12

Опубликована: Март 10, 2021

The COVID-19 lockdown has significantly disrupted the higher education environment within Netherlands and led to changes in available study-related resources study demands of students. These , uncertainty confusion about educational activities, developing fear anxiety disease, implementation measures may have a significant impact on mental health As such, this aimed investigate trajectory patterns, rate change, longitudinal associations between resources–demands 141 university students from before during lockdown. present employed design piecewise latent growth modeling strategy over 3 month period. results showed that moderate levels student decreased before, followed by substantial increase during, In contrast, were reported be stable throughout study. Finally, trajectories only associated procedures implemented. Despite growing concerns relating negative psychological students, our shows initial remained relatively unchanged.

Язык: Английский

Процитировано

40

Maladaptive emotion regulation strategies in a vulnerable population predict increased anxiety during the Covid-19 pandemic: A pseudo-prospective study DOI Creative Commons
Anne-Kathrin Brehl, Aart H. Schene, Nils Kohn

и другие.

Journal of Affective Disorders Reports, Год журнала: 2021, Номер 4, С. 100113 - 100113

Опубликована: Фев. 7, 2021

The Covid-19 pandemic has led to drastic public health measures with a substantial impact on the individual. Previous studies reported elevated levels of stress, anxiety, and depression in general population as consequence pandemic-related measures. In vulnerable individuals, exposure an uncontrolled global stressor like might be felt particularly threatening. A 127 healthy individuals that expressed increased trait anxiety (HADS ≥ 8) already before outbreak were tested state stress four weeks after Netherlands. Online questionnaires administered between April 16 23, 2020. We observed increase (STAI) during but no change depression. Yet, did not predict pandemic. Further, was associated being contact infected person, having symptoms Covid-19, protective behavior, or degree social isolation when controlling for However, maladaptive emotion regulation strategies measured predicted perceived pandemic, while adaptive had association Reducing learned helplessness self-blaming prevent giving up self-devaluation more beneficial than training strategies. Time variation baseline measurements.

Язык: Английский

Процитировано

36

Depression, anxiety and stress among Swedish university students before and during six months of the COVID-19 pandemic: A cohort study DOI Creative Commons

Fred Johansson,

Pierre Côté, Sheilah Hogg‐Johnson

и другие.

Scandinavian Journal of Public Health, Год журнала: 2021, Номер 49(7), С. 741 - 749

Опубликована: Май 26, 2021

The COVID-19 pandemic has had a profound effect on societies and citizens worldwide, raising concerns about potential mental health impacts. We aimed to describe trajectories of depression, anxiety stress symptoms during the outbreak compared before outbreak, determine if were modified by pre-pandemic loneliness, poor sleep quality problems.We conducted cohort study with 1836 Swedish university students entering 13 March 2020, onset pandemic, follow-ups within three (FU1) six months (FU2) outbreak. Generalized Estimating Equations used estimate mean differences in symptom levels over time-periods, modifications.We found small scale (DASS-21) time. Compared depression increased 0.25 points 21 (95% CI: 0.04 0.45) at FU1 decreased 0.75/21 CI:-0.97 -0.53) FU2. Anxiety from baseline 0.09/21 -0.24 0.07) 0.77/21 -0.93 -0.61) Stress 0.30/21 -0.52 -0.09) 1.32/21 -1.55 -1.09) Students or problems did not have worse symptoms.Symptom relatively stable first while there was slight decrease summer months, probably due seasonality effects.

Язык: Английский

Процитировано

35

Who is impacted? Personality predicts individual differences in psychological consequences of the COVID-19 pandemic in Germany DOI Open Access
Nick Modersitzki, Le Vy Phan, Niclas Kuper

и другие.

Опубликована: Июль 14, 2020

The COVID-19 pandemic has led to changes in people’s private and public lives that are unprecedented modern history. However, little is known about the differential psychological consequences of restrictions have been imposed fight pandemic. In a large diverse German sample (N = 1,320), we examined how individual differences (perceived restrictiveness government-supported measures; global pandemic-related appraisals; subjective well-being) were associated with broad set faceted personality traits (Big Five, Honesty-Humility, Dark Triad). Facets Extraversion, Neuroticism, Openness among strongest most important predictors outcomes, even after controlling for basic socio-demographic variables (gender, age). These findings suggest depend on thus add growing literature importance considering crisis situations.

Язык: Английский

Процитировано

37

A Novel Artificial Intelligence-Powered Emotional Intelligence and Mindfulness App (Ajivar) for the College Student Population During the COVID-19 Pandemic: Quantitative Questionnaire Study DOI Creative Commons
Ronda Sturgill, Mary Martinasek, Trine Schmidt

и другие.

JMIR Formative Research, Год журнала: 2020, Номер 5(1), С. e25372 - e25372

Опубликована: Дек. 9, 2020

Background Emotional intelligence (EI) and mindfulness can impact the level of anxiety depression that an individual experiences. These symptoms have been exacerbated among college students during COVID-19 pandemic. Ajivar is app utilizes artificial (AI) machine learning to deliver personalized EI training. Objective The main objective this research study was determine effectiveness delivering curriculum techniques using AI conversation platform, Ajivar, improve Methods A total 99 subjects, aged 18 29 years, were recruited from a second-semester group freshmen students. All participants completed online TestWell Wellness Inventory at start end 14-week semester. comparison members (49/99, 49%) given routine mental wellness instruction. intervention (50/99, 51%) required complete activities in addition instruction semester, which coincided with onset This also assessments evaluate for anxiety, 7-item Generalized Anxiety Disorder (GAD-7) scale, depression, 9-item Patient Health Questionnaire (PHQ-9). Results Study reported mean age 19.9 (SD 1.94) years; 27% (27/99) male 60% (59/99) identified as Caucasian. No significant demographic differences existed between groups. Subjects interacted time 1424 1168) minutes. There decrease measured by GAD-7: score 11.47 1.85) compared 6.27 1.44) (P<.001). reduction PHQ-9: 10.69 2.04) 6.69 2.41) (P=.001). Both groups independently had improvements pretest posttest. subgroups social awareness spirituality inventories showed improvement group. In subgroup (11/49, 22%) where GAD-7 available pandemic, there increase (mean 11.63, SD 2.16) mid-March (ie, pandemic) 13.03, 1.48; P=.23), followed period 5.9, 1.44; P=.001). Conclusions It possible training scalable way resulting student population.

Язык: Английский

Процитировано

36