{"id":37487,"date":"2017-01-13T13:16:44","date_gmt":"2017-01-13T21:16:44","guid":{"rendered":"http:\/\/world.edu\/?p=37487"},"modified":"2017-01-13T13:16:44","modified_gmt":"2017-01-13T21:16:44","slug":"helping-universities-combat-depression-mobile-technology","status":"publish","type":"post","link":"https:\/\/world.edu\/helping-universities-combat-depression-mobile-technology\/","title":{"rendered":"Helping universities combat depression with mobile technology"},"content":{"rendered":"<p><a href=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/howareyou.jpeg\"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/howareyou.jpeg\" alt=\"howareyou\" width=\"680\" height=\"316\" class=\"aligncenter size-full wp-image-37488\" srcset=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/howareyou.jpeg 680w, https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/howareyou-250x116.jpeg 250w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><\/a><\/p>\n<p>Depression is the <a href=\"http:\/\/dx.doi.org\/10.1016\/j.apnu.2011.03.003\">leading mental health issue<\/a> on college campuses in the U.S. In 2015, a <a href=\"http:\/\/www.acha-ncha.org\/docs\/NCHA-II_WEB_SPRING_2015_REFERENCE_GROUP_EXECUTIVE_SUMMARY.pdf\">survey of more than 90,000 students<\/a> at 108 American colleges and universities found that during the previous year, more than one-third of them had felt so depressed at some point that it was difficult to function. More than two-thirds had felt hopeless in the preceding academic year.<\/p>\n<p>Today\u2019s college students are dealing with depression at an <a href=\"https:\/\/theconversation.com\/depression-common-on-college-campuses-graduate-students-more-at-risk-41324\">alarmingly high rate<\/a>, and are <a href=\"http:\/\/www.aucccd.org\/assets\/documents\/aucccd%202015%20monograph%20-%20public%20version.pdf\">increasingly seeking help<\/a> from on-campus mental health services. Depression is also an <a href=\"http:\/\/dx.doi.org\/10.1016\/j.jadohealth.2009.08.008\">underlying cause of other common problems<\/a> on college campuses, including alcohol and substance abuse, eating disorders, self-injury, suicide and dropping out of school.<\/p>\n<p>But university counseling centers, the primary sources for students to get mental health care, are struggling to meet this rising demand. First, it can take a long time for clinicians to gain a full picture of what students are experiencing: Depressed students\u2019 accounts of their symptoms are often inaccurate and incomplete.<\/p>\n<p>In addition, budget constraints and limited office hours mean the number of clinicians on campus has not grown, and <a href=\"http:\/\/www.aucccd.org\/assets\/documents\/aucccd%202015%20monograph%20-%20public%20version.pdf\">in some cases has shrunk<\/a>, despite increasing demand. There simply are not enough university clinicians available to serve every student \u2013 and few, if any, at critical times like nights and weekends. The number of students on counseling waiting lists <a href=\"http:\/\/www.apa.org\/monitor\/2014\/09\/cover-pressure.aspx\">doubled from 2010 to 2012<\/a>. This can leave students waiting long periods without help. In the worst cases, this can have lifelong \u2013 or life-ending \u2013 consequences.<\/p>\n<p>Using <a href=\"https:\/\/www.newscientist.com\/article\/mg22329863-300-failing-students-saved-by-stress-detecting-app\/\">mobile technology for mental illness diagnosis<\/a> and treatment is becoming a <a href=\"http:\/\/doi.org\/10.2196\/jmir.4273\">hot research topic<\/a> nowadays because of the pervasiveness of mobile devices and their behavior-tracking capabilities. Building on others\u2019 work, we have found a way to enhance counseling services with mobile technology and big data analytics. It can help students and clinicians alike, by offering a new tool for assessing depression that may shed increased light on a condition that is challenging to study.<\/p>\n<p><strong>Measuring well-being<\/strong><\/p>\n<p><div id=\"attachment_37489\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/measuringwellbeing.png\"><img decoding=\"async\" aria-describedby=\"caption-attachment-37489\" src=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/measuringwellbeing.png\" alt=\"The iSee app\u2019s main screen shows activity trends. Mi Zhang and Jingbo Meng,\" width=\"680\" height=\"1073\" class=\"size-full wp-image-37489\" srcset=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/measuringwellbeing.png 680w, https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/measuringwellbeing-158x250.png 158w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><\/a><p id=\"caption-attachment-37489\" class=\"wp-caption-text\">The iSee app\u2019s main screen shows activity trends. Mi Zhang and Jingbo Meng,<\/p><\/div><br \/>\nWe are developing a system for tackling this campus mental health crisis, called <a href=\"http:\/\/www.egr.msu.edu\/news\/2016\/09\/07\/isee-counseling\">iSee<\/a>. When it\u2019s ready to be deployed, students who participate in the program will need to carry a smartphone and a smartwatch. Data collected by those devices are transmitted to, and analyzed by, a computer system. This lets the relatively few counselors keep better track of more students \u2013 extending service to more students in need.<\/p>\n<p>The smartphone and smartwatch have several built-in sensors:<\/p>\n<ul>\n<li>a GPS sensor, to track geographical locations,<\/li>\n<li>a light sensor, to measure ambient light levels,<\/li>\n<li>an accelerometer, to capture physical movements, and<\/li>\n<li>a touchscreen, to monitor the frequency and duration of users\u2019 interactions with their phones, such as browsing social media.<\/li>\n<\/ul>\n<p>These sensors capture many of the students\u2019 daily activities that <a href=\"http:\/\/dx.doi.org\/10.1176\/appi.books.9780890425596.dsm04\">can help indicate mental well-being<\/a>, including walking or other physical exercise, sleeping habits, social interaction and how often they go to class or local businesses \u2013 or whether they stay home or in a dorm room all day long.<\/p>\n<p>iSee can offset the inherent inaccuracies and incompleteness in patients\u2019 self-reporting of their depression. It can even observe symptoms students themselves don\u2019t notice or think to mention to a counselor. And because the data are continually collected, it can identify moments of vulnerability and resilience and provide a picture of a student\u2019s progress over time. That can help not only monitor but also treat depression.<\/p>\n<p><strong>Improving counseling service<\/strong><\/p>\n<p><div id=\"attachment_37490\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/iSee.jpeg\"><img decoding=\"async\" aria-describedby=\"caption-attachment-37490\" src=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/iSee.jpeg\" alt=\"Counselors can keep an eye on their patients, without even needing to make direct contact. Mi Zhang and Jingbo Meng\" width=\"680\" height=\"558\" class=\"size-full wp-image-37490\" srcset=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/iSee.jpeg 680w, https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/iSee-250x205.jpeg 250w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><\/a><p id=\"caption-attachment-37490\" class=\"wp-caption-text\">Counselors can keep an eye on their patients, without even needing to make direct contact. Mi Zhang and Jingbo Meng<\/p><\/div><br \/>\nOur work builds on the algorithms we have designed that <a href=\"http:\/\/dx.doi.org\/10.2196\/jmir.4273\">analyze mobile device data to detect depression<\/a>. In a 2015 study, we showed that the severity of a person\u2019s depression can be predicted by monitoring their GPS locations and how often they use their phones: People with more severe depression symptoms tended to move from place to place less and stay at home more than people with fewer depression symptoms \u2013 or none at all. The movements of more severely depressed people also tended to be less regular, and were more likely to use their phones frequently and for longer durations. For iSee, we will incorporate data from the other sensors, translating the raw measurements into models of how the students are behaving.<\/p>\n<p>Then iSee will look for behavior patterns that can relate to mental health problems \u2013 such as staying home all the time or getting irregular sleep. By sharing this information with both the patient and the counselor, iSee will help better describe, and more accurately portray the severity of, an individual\u2019s symptoms.<\/p>\n<div id=\"attachment_37491\" style=\"width: 690px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/iSee2.jpeg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-37491\" src=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/iSee2.jpeg\" alt=\"A mental health counselor can see when a student\u2019s behavior suggests a change in their depression. Mi Zhang and Jingbo Meng\" width=\"680\" height=\"406\" class=\"size-full wp-image-37491\" srcset=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/iSee2.jpeg 680w, https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/iSee2-250x149.jpeg 250w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><\/a><p id=\"caption-attachment-37491\" class=\"wp-caption-text\">A mental health counselor can see when a student\u2019s behavior suggests a change in their depression. Mi Zhang and Jingbo Meng<\/p><\/div>\n<p><strong>Treating depression<\/strong><\/p>\n<p>In addition, iSee can sense in real time when a student\u2019s behavior matches certain symptoms of depression \u2013 such as being socially isolated for three days. If that happens, the app can automatically deliver in-the-moment therapies to help, without relying on the patient, or even the clinician, to initiate. For example, if iSee notices a socially isolated person is alone at home on a sunny Saturday afternoon, it might suggest calling some friends or going out for a walk.<\/p>\n<p>That is exactly the sort of suggestion a counselor would make. Unfortunately, counselors usually can only make these suggestions in hindsight during therapy sessions. The smartphone can provide that assistance in the moment when help is needed.<\/p>\n<p>By finding ways the many sensors on smartphones and smartwatches can shed light on people\u2019s daily lives and habits, and by analyzing that data in ways that highlight potential mental health problems, we can help college students stay healthier and reduce the workload on overtaxed professionals at the same time.<\/p>\n<p><em><strong>Author Bios:<\/strong> Mi Zhang is an Assistant Professor of Electrical and Computer Engineering at Michigan State University; David Mohr is the Director, Center for Behavioral Intervention Technologies (CBITs) Professor of Preventive Medicine (Behavioral Medicine), Medical Social Sciences and Psychiatry and Behavioral Sciences at Northwestern University; and Jingbo Meng is an Assistant Professor of Communication at Michigan State University<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Depression is the leading mental health issue on college campuses in the U.S. In 2015, a survey of more than 90,000 students at 108 American colleges and universities found that during the previous year, more than one-third of them had felt so depressed at some point that it was difficult to function. More than two-thirds [&hellip;]\n&hellip; <a href=\"https:\/\/world.edu\/helping-universities-combat-depression-mobile-technology\/\" class=\"more\">learn more&rarr;<\/a><\/p>","protected":false},"author":33,"featured_media":37488,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[29,59],"tags":[3913],"coauthors":[11733],"class_list":["post-37487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-higher-education","category-science-tech","tag-depression"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Helping universities combat depression with mobile technology - World leading higher education information and services<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/world.edu\/helping-universities-combat-depression-mobile-technology\/\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:locale\" content=\"en_US\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:type\" content=\"article\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:title\" content=\"Helping universities combat depression with mobile technology - World leading higher education information and services\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:description\" content=\"Depression is the leading mental health issue on college campuses in the U.S. In 2015, a survey of more than 90,000 students at 108 American colleges and universities found that during the previous year, more than one-third of them had felt so depressed at some point that it was difficult to function. More than two-thirds [&hellip;]\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:url\" content=\"https:\/\/world.edu\/helping-universities-combat-depression-mobile-technology\/\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:site_name\" content=\"World leading higher education information and services\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"article:published_time\" content=\"2017-01-13T21:16:44+00:00\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:image\" content=\"https:\/\/world.edu\/wp-content\/uploads\/2017\/01\/howareyou.jpeg\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta property=\"og:image:width\" content=\"680\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta property=\"og:image:height\" content=\"316\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" class=\"yoast-seo-meta-tag\" \/>\n<meta name=\"author\" content=\"Kevin\" class=\"yoast-seo-meta-tag\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kevin\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" class=\"yoast-seo-meta-tag\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/\"},\"author\":{\"name\":\"Kevin\",\"@id\":\"https:\\\/\\\/world.edu\\\/#\\\/schema\\\/person\\\/42c1c1d5ff7ffbdf0bd50ed94c6ae6ee\"},\"headline\":\"Helping universities combat depression with mobile technology\",\"datePublished\":\"2017-01-13T21:16:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/\"},\"wordCount\":1041,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/world.edu\\\/wp-content\\\/uploads\\\/2017\\\/01\\\/howareyou.jpeg\",\"keywords\":[\"depression\"],\"articleSection\":[\"Higher Education\",\"Science and Technology\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/\",\"url\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/\",\"name\":\"Helping universities combat depression with mobile technology - World leading higher education information and services\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/world.edu\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/world.edu\\\/wp-content\\\/uploads\\\/2017\\\/01\\\/howareyou.jpeg\",\"datePublished\":\"2017-01-13T21:16:44+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/world.edu\\\/#\\\/schema\\\/person\\\/42c1c1d5ff7ffbdf0bd50ed94c6ae6ee\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/#primaryimage\",\"url\":\"https:\\\/\\\/world.edu\\\/wp-content\\\/uploads\\\/2017\\\/01\\\/howareyou.jpeg\",\"contentUrl\":\"https:\\\/\\\/world.edu\\\/wp-content\\\/uploads\\\/2017\\\/01\\\/howareyou.jpeg\",\"width\":680,\"height\":316},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/world.edu\\\/helping-universities-combat-depression-mobile-technology\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/world.edu\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Helping universities combat depression with mobile technology\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/world.edu\\\/#website\",\"url\":\"https:\\\/\\\/world.edu\\\/\",\"name\":\"World leading higher education information and services\",\"description\":\"Global Higher Education Jobs, University jobs, Lecturer &amp; 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