A5026649644- Mental Health Research Topics
- Digital Mental Health Interventions
- COVID-19 and Mental Health
- Functional Brain Connectivity Studies
- Impact of Technology on Adolescents
- EEG and Brain-Computer Interfaces
- Psychological and Temporal Perspectives Research
- Treatment of Major Depression
- Neural and Behavioral Psychology Studies
- Diabetes Management and Research
- Behavioral Health and Interventions
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Personal Information Management and User Behavior
- Mobile Crowdsensing and Crowdsourcing
- Fire effects on ecosystems
- Human Mobility and Location-Based Analysis
New York Proton Center
2024
Dartmouth College
2018-2022
Dartmouth Hospital
2021
Background The vast majority of people worldwide have been impacted by coronavirus disease (COVID-19). In addition to the millions individuals who infected with disease, billions asked or required local and national governments change their behavioral patterns. Previous research on epidemics traumatic events suggests that this can lead profound mental health changes; however, researchers are rarely able track these changes frequent, near-real-time sampling compare findings previous years...
There are rising rates of depression on college campuses. Mental health services our campuses working at full stretch. In response researchers have proposed using mobile sensing for continuous mental assessment. Existing work understanding the relationship between and depression, however, focuses generic behavioral features that do not map to major depressive disorder symptoms defined in standard disorders diagnostic manual (DSM-5). We propose a new approach predicting passive data from...
Since late 2019, the lives of people across globe have been disrupted by COVID-19. Millions become infected with disease, while billions continually asked or required local and national governments to change their behavioral patterns. Previous research on COVID-19 pandemic suggests that it is associated large-scale mental health changes; however, few studies able track these changes frequent, near real-time sampling compare previous years data for same individuals.
As smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences patterns been shown to reflect individual underlying affective processes such as depression (Wang et al., 2018). In the current study, we identified a positive relationship between screen time (e.g. phone unlock duration) and resting-state functional connectivity (RSFC) subgenual cingulate cortex (sgCC), brain region implicated...
The transition from high school to college is a taxing time for young adults. New students arriving on campus navigate myriad of challenges centered around adapting new living situations, financial needs, academic pressures and social demands. First-year need gain skills strategies cope with these demands in order make good decisions, ease their independent ultimately succeed. In general, first-generation are less prepared when they enter comparison non-first-generation students. This...
BackgroundWorldwide, the vast majority of people have been impacted by COVID-19. While millions individuals become infected, billions asked or required local and national governments to change their behavioral patterns. Previous research on epidemics traumatic events suggest this can lead profound mental health changes, but rarely are researchers able track these changes with frequent, near real-time sampling compare previous years data same individuals.ObjectivesWe seek answer two...
Although mammals have a strong motivation to engage in social interaction, stress can significantly interfere with this desire. Indeed, research nonhuman animals has shown that reduces phenomenon referred as "stress-induced avoidance." While and disconnection are also intertwined humans, date, evidence predicts reductions interaction is mixed, part, because existing paradigms fail capture naturalistically. To help overcome barrier, we combined experience sampling passive mobile sensing...
The COVID-19 pandemic continues to affect the daily life of college students, impacting their social life, education, stress levels and overall mental well-being. We study assess behavioral changes N=180 undergraduate students one year prior as a baseline then during first using mobile phone sensing inference. observe that certain groups experience very differently. Furthermore, we explore association self-reported concern with students' behavior health. find heightened is correlated...
Background: Stress levels among college students have been on the rise for last few decades. Currently, rates of reported stress are at an all-time high. Traditionally, dominant way to assess has through pen-and-paper surveys.
Brain circuit functioning and connectivity between specific regions allow us to learn, remember, recognize think as humans. In this paper, we ask the question if mobile sensing from phones can predict brain functional connectivity. We study resting-state (RSFC) ventromedial prefrontal cortex (vmPFC) amygdala, which has been shown by neuroscientists be associated with mental illness such anxiety depression. discuss initial results insights NeuroSence study, an exploratory of 105 first year...
Across college campuses, the prevalence of clinically relevant depression or anxiety is affecting more than 27% population at some point between entry to and graduation. Stress self-esteem have both been hypothesized contribute levels. Although contemporaneous relationships these variables well-defined, causal relationship mental health factors not well understood, as frequent sampling can be invasive, many current techniques are suited investigate correlated variables.This study aims...
Pandemics significantly impact human daily life. People throughout the world adhere to safety protocols (e.g., social distancing and self-quarantining). As a result, they willingly keep distance from workplace, friends even family. In such circumstances, in-person interactions may be substituted with virtual ones via online channels, as, Instagram Snapchat. To get insights into this phenomenon, we study group of undergraduate students before after start COVID-19 pandemic. Specifically, track...
Abstract As smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences patterns been shown to reflect individual underlying affective processes such as depression (Wang et al., 2018). In the current study, we identified a positive relationship between screen time (e.g. phone unlock duration) and resting-state functional connectivity (RSFC) subgenual cingulate cortex (sgCC), brain region implicated...
Introduction: While basal insulin lowers blood sugar, it increases the risk of hypoglycemia and weight gain doesn’t offer potential cardiovascular benefits GLP1-RAs. Transitioning a person with well-controlled T2DM from to GLP1-RA can be labor intensive short-term may lead hypoglycemia. The objective this pilot program is determine if MITI-GLP1 lower increase without Methods: uses basic cell phone technology available our safety-net patients sends daily text message asking ‘What was your...
<sec> <title>BACKGROUND</title> Stress levels among college students have been on the rise for last few decades. Currently, rates of reported stress are at an all-time high. Traditionally, dominant way to assess has through pen-and-paper surveys. </sec> <title>OBJECTIVE</title> The aim this study is use passive sensing data collected via mobile phones obtain a rich and potentially less-biased source that can be used help better understand stressors in experience. <title>METHODS</title> We...
<sec> <title>BACKGROUND</title> Across college campuses, the prevalence of clinically relevant depression or anxiety is affecting more than 27% population at some point between entry to and graduation. Stress self-esteem have both been hypothesized contribute levels. Although contemporaneous relationships these variables well-defined, causal relationship mental health factors not well understood, as frequent sampling can be invasive, many current techniques are suited investigate correlated...
<sec> <title>BACKGROUND</title> The vast majority of people worldwide have been impacted by coronavirus disease (COVID-19). In addition to the millions individuals who infected with disease, billions asked or required local and national governments change their behavioral patterns. Previous research on epidemics traumatic events suggests that this can lead profound mental health changes; however, researchers are rarely able track these changes frequent, near-real-time sampling compare...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL Influence of Local Scale and Oceanic Teleconnections on Regional Fire Danger Wildfire Trends 29 Pages Posted: 22 Dec 2022 See all articles by Flavio JustinoFlavio Justinoaffiliation not provided SSRNDavid Bromwichaffiliation SSRNSheng-Hung Wangaffiliation SSRNDaniel Althoffaffiliation SSRNVanucia Schumacheraffiliation SSRNAlex daSilvaaffiliation SSRN...
Background:Since late 2019, the lives of people across globe have been disrupted by COVID-19. Millions become infected; billions continually asked or required local and national governments to change their behavioral patterns. Previous research on COVID-19 pandemic suggests that it is associated with large-scale mental health changes, but few studies able track these changes frequent, near real-time sampling compare previous years data for same individuals.Objectives:By combining mobile...
<sec> <title>BACKGROUND</title> Since late 2019, the lives of people across globe have been disrupted by COVID-19. Millions become infected with disease, while billions continually asked or required local and national governments to change their behavioral patterns. Previous research on COVID-19 pandemic suggests that it is associated large-scale mental health changes; however, few studies able track these changes frequent, near real-time sampling compare previous years data for same...