Wearable devices and mobile technologies for supporting behavioral weight loss among people with serious mental illness
Open accessAbstract
Promoting physical activity is essential for addressing elevated cardiovascular risk and high obesity rates affecting people with serious mental illness. Numerous challenges interfere with exercise participation in this high-risk group including mental health symptoms, low motivation, and limited access to safe and affordable options for physical activity. Wearable devices and mobile health technologies may afford new opportunities for promoting physical activity and supporting behavioral weight loss efforts. This exploratory study examined whether daily step count measured using Fitbit wearable devices was associated with weight loss and improved fitness among individuals with serious mental illness enrolled in a 6-month lifestyle program. Participants (n=34) had a schizophrenia spectrum disorder (23.5%), major depression (50.0%), or bipolar disorder (26.5%), and wore Fitbits most of the days (M=86.2%; SD=18.4%) they were enrolled in the study. At 6-months, higher average daily step count was associated with greater weight loss (F=5.07; df=1,32; p=0.0314), but not improved fitness (F=1.92; df=1,31; p=0.176). These findings demonstrate that encouraging participants with serious mental illness enrolled in lifestyle interventions to collect more steps may contribute to greater weight loss. This suggests that wearable devices may offer a feasible and potentially effective strategy for supporting behavioral weight loss in community mental health settings.
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Naslund et al. worked with patients with severe mental illnesses and the mobile app was used exclusively to record physical activity.
“Naslund and colleagues [46, 47] worked with a group of patients with severe mental illnesses from an urban community mental health center enrolled in a group behavioral weight loss program targeting fitness and healthy eating. The mobile app was used exclusively to record physical activity.”
From Mobile Apps for the Management of Comorbid Overweight/Obesity and Depression/Anxiety: A Systematic Review (2020) · cites this paper as [47]
Methods §2.1 confirms that participants with serious mental illness were enrolled through an urban community mental health center in a group weight-loss program targeting fitness and healthy eating. Methods §2.2 says the companion app synchronized step counts but also let users compare their steps and progress with others, so its use was not limited to recording physical activity. Page numbers are unavailable in our copy. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe two studies by Naslund et al. and the one by Levinson et al. were neither randomized nor blinded.
“The two studies by Naslund and colleagues [46, 47] and the one by Levinson and colleagues [48] were neither randomized nor blinded.”
From Mobile Apps for the Management of Comorbid Overweight/Obesity and Depression/Anxiety: A Systematic Review (2020) · cites this paper as [47]
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Flagged first, then by citations
Research works printed but not linked: 1
- Firth J Cotter J Torous J Bucci S Firth JA Yung AR Mobile phone ownership and endorsement of “mHealth” among people with psychosis: a meta-analysis of cross-sectional studies Schizophrenia Bulletin 2016 42 2 448 455 26400871 PMC4753601
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“[46, 47], and their colleagues included apps to monitor physical activity alone or with dietary intake: MyFitnessPal, Fitbit, and Nike FuelBan; the last two were designed to synchronize with their corresponding physical devices.”
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“14,15 Mobile health (mHealth)—delivered via mobile phone technologies, including smartphone apps and Short Message Service (SMS) text messages—is a cost-effective and highly accessible approach to improving consumer experiences and health outcomes, 16 and has been associated with improved illness…”
- Authors
- Naslund, J. A., Aschbrenner, K. A., Scherer, E. A., McHugo, G. J., Marsch, L. A., & Bartels, S. J.
- Affiliations
- Dartmouth College (US)
- Corresponding author
- Naslund, John A.
- ORCID
- Venue
- Psychiatry Research
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 244
- Pages
- 139-144
- ISSN
- 0165-1781 (ISSN-L)
- PMC
- PMC5026936
- OpenAlex
- W2463152213
- Cited by
- 86
- References
- 45
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 4 · 2023: 7 · 2022: 8 · 2021: 11 · 2020: 25 · 2019: 3 · 2018: 10 · 2017: 5 · 2016: 1 · 2015: 1
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychiatry Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01 MH089811-01)
- United States Centers for Disease Control and Prevention Health Promotion and Disease Prevention Research Center (U48DP005018)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- wearable devices, Fitbit, mobile health, behavioral weight loss, severe mental illness, physical activity, step count, fitness, lifestyle intervention, schizophrenia spectrum disorders, major depressive disorder, bipolar disorder, obesity, cardiovascular risk
- MeSH terms
- Diet, Healthy, Fitness Trackers, Adult, Mental Disorders, Bipolar Disorder, Cardiovascular Diseases, Depressive Disorder, Major, Major Depressive Disorder, Female, Humans, Life Style, Male, Mental Health, Middle Aged, Obesity, Risk Factors, Schizophrenia, Weight Loss, Exercise, Treatment Outcome, Telemedicine, Weight Reduction Programs
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