{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T13:24:21Z","timestamp":1790515461658,"version":"4.1.0"},"reference-count":24,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2015,3,1]],"date-time":"2015-03-01T00:00:00Z","timestamp":1425168000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Telemedicine and e-Health"],"published-print":{"date-parts":[[2015,3]]},"abstract":"<jats:p>\n                    Obesity prevalence is nearly double among individuals with serious mental illness (SMI), including schizophrenia spectrum disorders, bipolar disorder, or major depressive disorder, compared with the general population. Emerging mobile health (m-health) technologies are increasingly available and offer the potential to support lifestyle interventions targeting weight loss, yet the practical feasibility of using these technologies in this high-risk group has not been established. We evaluated the feasibility and acceptability of popular m-health technologies for activity tracking among overweight and obese individuals with SMI. We provided wearable activity monitoring devices (FitBit [San Francisco, CA] Zip\u2122 or Nike Inc. [Beaverton, OR] FuelBand) and smartphones (Apple [Cupertino, CA] iPhone\n                    <jats:sup>\u00ae<\/jats:sup>\n                    4S) for accessing the smartphone application for each device to participants with SMI enrolled in a weight loss program. Feasibility of these devices was measured by the frequency of use over time. Acceptability was measured through qualitative follow-up interviews with participants. Ten participants with SMI wore the devices for a mean of 89% (standard deviation=13%) of the days in the study. Five participants wore the devices 100% of the time. Participants reported high satisfaction, stating the devices were easy to use, helpful for setting goals, motivational, and useful for self-monitoring. Several participants liked the social connectivity feature of the devices where they could see each other's progress on the smartphone application, noting that \u201cfriendly\u201d competition increased motivation to be more physically active. This study supports using popular m-health technologies for activity tracking among individuals with SMI. These findings can inform the design of weight loss interventions targeting this vulnerable patient population.\n                  <\/jats:p>","DOI":"10.1089\/tmj.2014.0105","type":"journal-article","created":{"date-parts":[[2014,12,23]],"date-time":"2014-12-23T10:45:45Z","timestamp":1419331545000},"page":"213-216","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":139,"title":["Feasibility of Popular m-Health Technologies for Activity Tracking Among Individuals with Serious Mental Illness"],"prefix":"10.1177","volume":"21","author":[{"given":"John A.","family":"Naslund","sequence":"first","affiliation":[{"name":"The Dartmouth Institute for Health Policy and Clinical Practice","place":["Lebanon"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelly A.","family":"Aschbrenner","sequence":"additional","affiliation":[{"name":"The Dartmouth Institute for Health Policy and Clinical Practice","place":["Lebanon"]},{"name":"Geisel School of Medicine at Dartmouth","place":["Lebanon"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura K.","family":"Barre","sequence":"additional","affiliation":[{"name":"Cornell University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen J.","family":"Bartels","sequence":"additional","affiliation":[{"name":"The Dartmouth Institute for Health Policy and Clinical Practice","place":["Lebanon"]},{"name":"Geisel School of Medicine at Dartmouth","place":["Lebanon"]},{"name":"Geisel School of Medicine at Dartmouth","place":["Lebanon"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2015,3,1]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1214530"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ps.53.1.80"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10488-012-0424-x"},{"key":"e_1_3_3_5_2","unstructured":"Pew Research Center. The web at 25 in the U.S.: The overall verdict: The Internet has been a plus for society and an especially good thing for individual users. 2014. 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Structured clinical interview for DSM-IV axis I disorders\u2014Patient edition (SCID-I\/P, version 2.0). New York: Biometric Research Department, New York State Psychiatric Institute, 1995."},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.7.1.e11"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.3084"},{"key":"e_1_3_3_22_2","volume-title":"Qualitative data analysis: An expanded sourcebook","author":"Miles M","year":"1994","unstructured":"Miles M, , Huberman M. Qualitative data analysis: An expanded sourcebook, 2nd ed. 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