Katuin, Charlotte Elise (2024) Unleashing Vitality: Assessing the Impact of LEEF! on Activity Levels with a Fitbit Device in Patients with Psychiatric Disorders". thesis, Medicine.
Full text available on request.Abstract
Background: Individuals with severe mental illness (SMI) not only face psychological challenges but also have an elevated risk of poor physical health and developing metabolic syndrome (MetS), leading to cardiovascular disease and significantly reduced life expectancy. Multicomponent lifestyle interventions (MLI) are considered strategies to address these risks and promote healthier behaviors in people with SMI. A pivotal element of MLI is to promote physical activity. This study specifically aimed to assess the impact of the LEEF! lifestyle intervention on activity levels and overall well-being among patients receiving secondary mental health care. It also focused on comparing data on activity from the MotionWatch and Fitbit device. Methods: Twenty-seven outpatients at the GGZ-Drenthe mental health care institute with anxiety or affective disorders and comorbid MetS participated. Patients were provided with weekly sessions over the course of 18 weeks with two subsequent follow up sessions. Outcomes including physical measurements, activity measured in steps, inactivity and sleep outcomes, and questionnaires focusing on functioning (I.ROC), wellbeing (MHC-SF) and clinical symptoms (OQ-45) were investigated. This study analyzed effects of the MLI, and correlations between MotionWatch activity counts and Fitbit step counts as a validation study for the Fitbit device. Results: Comparing mean activity, inactivity and sleep duration before and after intervention using paired t-tests did not render any significant results. Wilcoxon signed-rank tests showed a statistically significant change in I.ROC, MHC-SF and OQ-45 scores when comparing participants before and after the intervention. No significant predictors of change in activity were found in the linear regression or group comparison. In group comparison, no differences in gender or age were found, although a trend was seen that older people on average showed the most increase in activity (p = 0.081). Lastly, a significant linear correlation between step count and activity counts (R2 = 0,328) was found. Conclusions: Objectively measured activity, inactivity and sleep duration did not change with the LEEF! lifestyle interventions, but LEEF! did improve psychiatric symptoms, functioning and wellbeing. However, predictors of objective change remained elusive. These findings emphasize the need for targeted interventions and continuous exploration to enhance MLI. Furthermore, Fitbit data might be considered to use as outcome data in clinical settings, given the moderately high correlation with MotionWatch data.
| Item Type: | Thesis (UNSPECIFIED) |
|---|---|
| Supervisor name: | Prof. dr. Cath, D.C. and Drs. Hofman, M. |
| Faculty: | Medical Sciences |
| Date Deposited: | 16 Oct 2024 11:41 |
| Last Modified: | 16 Oct 2024 11:41 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/3769 |
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