Wearable devices and smartphones for activity tracking among people with serious mental illness

Mental Health and Physical Activity - Tập 10 - Trang 10-17 - 2016
John A. Naslund1,2, Kelly A. Aschbrenner1,2,3, Stephen J. Bartels1,2,3,4
1Health Promotion Research Center at Dartmouth, Lebanon, NH, USA
2The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, Lebanon, NH, USA
3Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
4Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA

Tài liệu tham khảo

Alvarez-Jimenez, 2014, Online, social media and mobile technologies for psychosis treatment: a systematic review on novel user-led interventions, Schizophrenia Research, 156, 96, 10.1016/j.schres.2014.03.021 Aschbrenner, 2015, Cigarette smoking and interest in quitting among overweight and obese adults with serious mental illness enrolled in a fitness intervention, The Journal of Nervous and Mental Disease, 203, 473, 10.1097/NMD.0000000000000309 Aschbrenner, 2015, Peer health coaching for overweight and obese individuals with serious mental illness: intervention development and initial feasibility study, Translational Behavioral Medicine, 5, 277, 10.1007/s13142-015-0313-4 Aschbrenner, 2015, Feasibility of behavioral weight loss treatment enhanced with peer support and mobile health technology for individuals with serious mental illness, Psychiatric Quarterly, 1 Bai, 2016, Comparison of consumer and research monitors under semistructured settings, Medicine and Science in Sports and Exercise, 48, 151, 10.1249/MSS.0000000000000727 Bartels, 2013, Clinically significant improved fitness and weight loss among overweight persons with serious mental illness, Psychiatric Services, 64, 729, 10.1176/appi.ps.003622012 Bartels, 2015, Pragmatic replication trial of health promotion coaching for obesity in serious mental illness and maintenance of outcomes, American Journal of Psychiatry, 172, 344, 10.1176/appi.ajp.2014.14030357 Beebe, 2012, Using pedometers to document physical activity in patients with schizophrenia spectrum disorders: a feasibility study, Journal of Psychosocial Nursing and Mental Health Services, 50, 44, 10.3928/02793695-20120112-02 Ben-Zeev, 2014, Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia, Schizophrenia Bulletin, 40, 1244, 10.1093/schbul/sbu033 Ben-Zeev, 2013, Development and usability testing of FOCUS: a smartphone system for self-management of schizophrenia, Psychiatric Rehabilitation Journal, 36, 289, 10.1037/prj0000019 Ben-Zeev, 2014, Remote “Hovering” with individuals with psychotic disorders and substance use: feasibility, engagement, and therapeutic alliance with a text-messaging mobile interventionist, Journal of Dual Diagnosis, 10, 197, 10.1080/15504263.2014.962336 Ben-Zeev, 2016, Mobile behavioral sensing for outpatients and inpatients with schizophrenia, Psychiatric Services, 10.1176/appi.ps.201500130 Bravata, 2007, Using pedometers to increase physical activity and improve health: a systematic review, Jama, 298, 2296, 10.1001/jama.298.19.2296 Burke, 2015, Current science on consumer use of mobile health for cardiovascular disease prevention: a scientific statement from the American Heart Association, Circulation, 132, 1157, 10.1161/CIR.0000000000000232 Case, 2015, Accuracy of smartphone applications and wearable devices for tracking physical activity data, Jama, 313, 625, 10.1001/jama.2014.17841 Chiauzzi, 2015, Patient-centered activity monitoring in the self-management of chronic health conditions, BMC Medicine, 13, 77, 10.1186/s12916-015-0319-2 Colton, 2006, Congruencies in increased mortality rates, years of potential life lost, and causes of death among public mental health clients in eight states, Preventing Chronic Disease, 3, A42 Creswell, 2013 Daumit, 2013, A behavioral weight-loss intervention in persons with serious mental illness, New England Journal of Medicine, 368, 1594, 10.1056/NEJMoa1214530 Daumit, 2005, Physical activity patterns in adults with severe mental illness, The Journal of Nervous and Mental Disease, 193, 641, 10.1097/01.nmd.0000180737.85895.60 Dickerson, 2006, Obesity among individuals with serious mental illness, Acta Psychiatrica Scandinavica, 113, 306, 10.1111/j.1600-0447.2005.00637.x Firth, 2015, Mobile phone ownership and endorsement of “mHealth” among people with psychosis: a meta-analysis of cross-sectional studies, Schizophrenia Bulletin, 1 Folstein, 1975, Mini-mental state: a practical method for grading the cognitive state of patients for the clinician, Journal of Psychiatric Research, 12, 189, 10.1016/0022-3956(75)90026-6 Green, 2015, The STRIDE weight loss and lifestyle intervention for individuals taking antipsychotic medications: a randomized trial, American Journal of Psychiatry, 172, 71, 10.1176/appi.ajp.2014.14020173 Grindrod, 2014, Assessing the usability and usefulness of wearable activity trackers with adults over age 50: a mixed methods evaluation Hsieh, 2005, Three approaches to qualitative content analysis, Qualitative Health Research, 15, 1277, 10.1177/1049732305276687 Kane, 2012, Feasibility of pedometers for adults with schizophrenia: pilot study, Journal of Psychiatric and Mental Health Nursing, 19, 8, 10.1111/j.1365-2850.2011.01747.x Lee, 2013, For non-exercising people, the number of steps walked is more strongly associated with health than time spent walking, Journal of Science and Medicine in Sport, 16, 227, 10.1016/j.jsams.2012.10.005 Lund, 2001, Measuring usability with the USE questionnaire, Usability Interface, 8, 3 Lyons, 2014, Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis, Journal of Medical Internet Research, 16, e192, 10.2196/jmir.3469 Macias, 2015, Using smartphone apps to promote psychiatric and physical well-being, Psychiatric Quarterly, 86, 505, 10.1007/s11126-015-9337-7 Marsch, 2015 Naslund, 2015, Feasibility of popular m-Health technologies for activity tracking among individuals with serious mental illness, Telemedicine and e-Health, 21, 213, 10.1089/tmj.2014.0105 Naslund, 2015, Crowdsourcing for conducting randomized trials of Internet delivered interventions in people with serious mental illness: a systematic review, Contemporary Clinical Trials, 44, 77, 10.1016/j.cct.2015.07.012 Naslund, 2015, Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature, Journal of Mental Health, 24, 321, 10.3109/09638237.2015.1019054 Onken, 2014, Reenvisioning clinical science unifying the discipline to improve the public health, Clinical Psychological Science, 2, 22, 10.1177/2167702613497932 Onken, 2015, Technology and the stage model of behavioral intervention development, 1 Patel, 2015, Wearable devices as facilitators, not drivers, of health behavior change, Jama, 313, 459, 10.1001/jama.2014.14781 Richardson, 2005, Integrating physical activity into mental health services for persons with serious mental illness, Psychiatric Services, 56, 324, 10.1176/appi.ps.56.3.324 Rooney, 2003, Is knowing enough? increasing physical activity by wearing a pedometer, Wisconsin Medical Journal, 102, 31 Rounsaville, 2001, A stage model of behavioral therapies research: getting started and moving on from stage I, Clinical Psychology: Science and Practice, 8, 133 Strassnig, 2011, Low cardiorespiratory fitness and physical functional capacity in obese patients with schizophrenia, Schizophrenia Research, 126, 103, 10.1016/j.schres.2010.10.025 Vooijs, 2014, Validity and usability of low-cost accelerometers for internet-based self-monitoring of physical activity in patients with chronic obstructive pulmonary disease, Interactive Journal of Medical Research, 3, e14, 10.2196/ijmr.3056 Walker, 2015, Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis, JAMA Psychiatry, 72, 334, 10.1001/jamapsychiatry.2014.2502 Yingling, 2016, Community engagement to optimize the use of web-based and wearable technology in a cardiovascular health and needs assessment study: a mixed methods approach, JMIR mHealth and uHealth, 10.2196/mhealth.4489 Zulman, 2015, How can eHealth technology address challenges related to multimorbidity? Perspectives from patients with multiple chronic conditions, J General Internal Medicine, 30, 1063, 10.1007/s11606-015-3222-9