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Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial
Self-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes.
This study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement.
GoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m
) and were randomized to a 12-week stand-alone weight loss intervention using the MyFitnessPal smartphone app for daily self-monitoring of either (1) both weight and diet, with weekly lessons, action plans, and feedback (Simultaneous); (2) weight through week 4, then added diet, with the same behavioral components (Sequential); or (3) only diet (App-Only). All groups received a goal to lose 5% of initial weight by 12 weeks, a tailored calorie goal, and automated in-app reminders. Participants were recruited via online and offline methods. Weight was collected in-person at baseline, 1 month, and 3 months using calibrated scales and via self-report at 6 months. We retrieved objective self-monitoring engagement data from MyFitnessPal using an application programming interface. Engagement was defined as the number of days per week in which tracking occurred, with diet entries counted if ≥800 kcal per day. Other assessment data were collected in-person via online self-report questionnaires.
At baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m
. One-third (33/100) were from racial or ethnic minority groups. During the trial, 5 participants became ineligible. Of the remaining 100 participants, 84% (84/100) and 76% (76/100) completed the 1-month and 3-month visits, respectively. In intent-to-treat analyses, there was no difference in weight change at 3 months between the Sequential arm (mean -2.7 kg, 95% CI -3.9 to -1.5) and either the App-Only arm (-2.4 kg, -3.7 to -1.2; P=.78) or the Simultaneous arm (-2.8 kg, -4.0 to -1.5; P=.72). The median number of days of self-monitoring diet per week was 1.9 (interquartile range [IQR] 0.3-5.5) in Sequential (once began), 5.3 (IQR 1.8-6.7) in Simultaneous, and 2.9 (IQR 1.2-5.2) in App-Only. Weight was tracked 4.8 (IQR 1.9-6.3) days per week in Sequential and 5.1 (IQR 1.8-6.3) days per week in Simultaneous. Engagement in neither diet nor weight tracking differed between arms.
Regardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach.
ClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).
Journal Article
Handbook of self-regulation : research, theory, and applications
From leading authorities, this significantly revised and expanded handbook is a highly regarded reference in a rapidly growing field. It thoroughly examines the conscious and unconscious processes by which people manage their behavior and emotions, control impulses, and strive toward desired goals. Chapters explore such vital issues as why certain individuals have better self-control than others; how self-regulation shapes, and is shaped by, social relationships; underlying brain mechanisms and developmental pathways; and which interventions can improve people's self-control. The volume also addresses self-regulatory failures and their consequences, with chapters on attention-deficit/hyperactivity disorder, criminality, addictions, and money management challenges. As a special bonus, purchasers of the third edition can download a supplemental e-book featuring two notable, highly cited chapters from the second edition.
Book
Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial
As the increasing prevalence of type 2 diabetes mellitus has put pressure on health systems to appropriately manage these patients, there have been a growing number of mobile apps designed to improve the self-management of diabetes. One such app, BlueStar, has been shown to significantly reduce hemoglobin A
(HbA
) levels in small studies and is the first app in the United States to receive Food and Drug Administration approval as a mobile prescription therapy. However, the impact of the app across real-world population among different clinical sites and health systems remains unclear.
The primary objective of this study was to conduct a pragmatic randomized controlled trial of the BlueStar mobile app to determine if app usage leads to improved HbA
levels among diverse participants in real-life clinical contexts. We hypothesized that this mobile app would improve self-management and HbA
levels compared with controls.
The study consisted of a multicenter pragmatic randomized controlled trial. Overall, 110 participants randomized to the immediate treatment group (ITG) received the intervention for 6 months, and 113 participants randomized to the wait-list control (WLC) group received usual care for the first 3 months and then received the intervention for 3 months. The primary outcome was glucose control measured by HbA
levels at 3 months. Secondary outcomes assessed intervention impact on patient self-management, experience of care, and self-reported health utilization using validated scales, including the Problem Areas in Diabetes, the Summary of Diabetes Self-Care Activities, and the EuroQol-5D. Intervention usage data were collected directly from the app.
The results of an analysis of covariance controlling for baseline HbA
levels did not show evidence of intervention impact on HbA
levels at 3 months (mean difference [ITG-WLC] -0.42, 95% CI -1.05 to 0.21; P=.19). Similarly, there was no intervention effect on secondary outcomes measuring diabetes self-efficacy, quality of life, and health care utilization behaviors. An exploratory analysis of 57 ITG participants investigating the impact of app usage on HbA
levels showed that each additional day of app use corresponded with a 0.016-point decrease in participants' 3-month HbA
levels (95% CI -0.03 to -0.003). App usage varied significantly by site, as participants from 1 site logged in to the app a median of 36 days over 14 weeks (interquartile range [IQR] 10.5-124); those at another site used the app significantly less (median 9; IQR 6-51).
The results showed no difference between intervention and control arms for the primary clinical outcome of glycemic control measured by HbA
levels. Although there was low usage of the app among participants, results indicate contextual factors, particularly site, had a significant impact on overall usage. Future research into the patient and site-specific factors that increase app utilization are needed.
Clinicaltrials.gov NCT02813343; https://clinicaltrials.gov/ct2/show/NCT02813343 (Archived by WebCite at https://clinicaltrials.gov/ct2/show/NCT02813343).
Journal Article
The stress management handbook : a practical guide to staying calm, keeping cool, and avoiding blow-ups
\"Shift negativity into positivity in seconds. In our search for happiness, many of us find ourselves pleasing everyone else over ourselves until we end up with feelings of resentment, frustration, and stress. Whether you're looking for love, work, or solutions to a problematic marriage or the pressures of facing an empty nest, The Stress Management Handbook will teach you how to speak and live from a place of love rather than a place of stress. Dr. Eva's laser coach methods will help you: understand stress; calm your madness; uncover your triggers; find your power. Hone in on the cause of your stress and release it to find bliss.\"--Back cover.
Book
Peer-supported self-management for people discharged from a mental health crisis team: a randomised controlled trial
High resource expenditure on acute care is a challenge for mental health services aiming to focus on supporting recovery, and relapse after an acute crisis episode is common. Some evidence supports self-management interventions to prevent such relapses, but their effect on readmissions to acute care following a crisis is untested. We tested whether a self-management intervention facilitated by peer support workers could reduce rates of readmission to acute care for people discharged from crisis resolution teams, which provide intensive home treatment following a crisis.
We did a randomised controlled superiority trial recruiting participants from six crisis resolution teams in England. Eligible participants had been on crisis resolution team caseloads for at least a week, and had capacity to give informed consent. Participants were randomly assigned to intervention and control groups by an unmasked data manager. Those collecting and analysing data were masked to allocation, but participants were not. Participants in the intervention group were offered up to ten sessions with a peer support worker who supported them in completing a personal recovery workbook, including formulation of personal recovery goals and crisis plans. The control group received the personal recovery workbook by post. The primary outcome was readmission to acute care within 1 year. This trial is registered with ISRCTN, number 01027104.
221 participants were assigned to the intervention group versus 220 to the control group; primary outcome data were obtained for 218 versus 216. 64 (29%) of 218 participants in the intervention versus 83 (38%) of 216 in the control group were readmitted to acute care within 1 year (odds ratio 0·66, 95% CI 0·43–0·99; p=0·0438). 71 serious adverse events were identified in the trial (29 in the treatment group; 42 in the control group).
Our findings suggest that peer-delivered self-management reduces readmission to acute care, although admission rates were lower than anticipated and confidence intervals were relatively wide. The complexity of the study intervention limits interpretability, but assessment is warranted of whether implementing this intervention in routine settings reduces acute care readmission.
National Institute for Health Research.
Journal Article
The impact of telehealth education on self-management in patients with coexisting type 2 diabetes mellitus and hypertension: a 26-week randomized controlled trial
Background
The prevalence of coexisting type 2 diabetes mellitus and hypertension is increasing globally and posing significant health challenges. Effective self-management is crucial for controlling the disease and preventing complications. Telehealth education has emerged as a promising approach to enhancing self-management.
Objective
This study aimed to investigate the effects of telehealth education on glycolipid metabolism, blood pressure, and self-management in patients with coexisting type 2 diabetes mellitus and hypertension.
Methods
This study included 174 patients diagnosed with type 2 diabetes and hypertension from October 2022 to March 2023 at the 900th Hospital of the Joint Logistic Support Force of the Chinese People’s Liberation Army. The patients were randomly assigned to the control group or the telehealth education group. The control group received conventional diabetes education including diet and exercise guidance, while the telehealth education group received additional online education through the WeChatapplication. Both groups were followed up for 26 weeks and the changes in glycolipid metabolism, blood pressure, and self-management were compared between the groups.
Results
After 26 weeks of intervention, the telehealth education group showed statistically significant reductions in weight, body mass index, fasting blood glucose, 2 h postprandial blood glucose, and hemoglobin A1c compared to the control group (P < 0.05). The telehealth education group also exhibited a significant decrease in systolic blood pressure and low-density lipoprotein-C level (P < 0.05). The Summary of Diabetes Self-Care Activities score, which reflects the level of diabetes self-management, demonstrated that the telehealth education group had a significantly better total score as well as superior scores in all five sub-categories (diet, blood glucose testing, medication use, and foot care) compared to the control group (P < 0.05).
Conclusion
Our findings confirmed that telehealth education effectively enhanced the self-management capabilities of patients with coexisting type 2 diabetes and hypertension, leading to better glycolipid and blood pressure control. The use of telehealth education may potentially improve the interaction between medical staff and patients in the management of chronic diseases.
Journal Article
Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review
Smartphone apps are a potential mechanism for development of self-management skills in people with persistent pain. However, the inclusion of best-practice content items in available pain management apps fostering core self-management skills for self-management support is not known.
The aim of the study was to evaluate the contents of smartphone apps providing information on pain management strategies for people with persistent pain facilitating self-management support and to appraise the app quality.
A systematic search was performed in the New Zealand App Store and Google Play Store. Apps were included if they were designed for people with persistent pain, provided information on pain self-management strategies, and were available in English. App contents were evaluated using an a priori 14-item self-management support (SMS-14) checklist. App quality was assessed using the 23-item Mobile Apps Rating Scale.
Of the 939 apps screened, 19 apps met the inclusion criteria. Meditation and guided relaxation were the most frequently included self-management strategies. Overall, the included apps met a median of 4 (range 1-8) of the SMS-14 checklist. A total of 3 apps (Curable, PainScale-Pain Diary and Coach, and SuperBetter) met the largest number of items (8 out of 14) to foster self-management of pain. Self-monitoring of symptoms (n=11) and self-tailoring of strategies (n=9) were frequently featured functions, whereas a few apps had features facilitating social support and enabling communicating with clinicians. No apps provided information tailored to the cultural needs of the user. The app quality mean scores using Mobile Apps Rating Scale ranged from 2.7 to 4.5 (out of 5.0). Although use of 2 apps (Headspace and SuperBetter) has been shown to improve health outcomes, none of the included apps have been evaluated in people with persistent pain.
Of the 3 apps (Curable, PainScale-Pain Diary and Coach, and SuperBetter) that met the largest number of items to support skills in self-management of pain, 2 apps (PainScale-Pain Diary and Coach and SuperBetter) were free, suggesting the potential for using apps as a scalable, wide-reaching intervention to complement face-to-face care. However, none provided culturally tailored information. Although 2 apps (Headspace and SuperBetter) were validated to show improved health outcomes, none were tested in people with persistent pain. Both users and clinicians should be aware of such limitations and make informed choices in using or recommending apps as a self-management tool. For better integration of apps in clinical practice, concerted efforts are required among app developers, clinicians, and people with persistent pain in developing apps and evaluating for clinical efficacy.
Journal Article