75 results match your criteria self-monitor diet


Patterns of self-monitoring technology use and weight loss in people with overweight or obesity.

Transl Behav Med 2021 Apr 10. Epub 2021 Apr 10.

Department of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Mobile applications and paired devices allow individuals to self-monitor physical activity, dietary intake, and weight fluctuation concurrently. However, little is known regarding patterns of use of these self-monitoring technologies over time and their implications for weight loss. The objectives of this study were to identify distinct patterns of self-monitoring technology use and to investigate the associations between these patterns and weight change. Read More

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The role of self-efficacy and information processing in weight loss during an mHealth behavioral intervention.

Digit Health 2020 Jan-Dec;6:2055207620976755. Epub 2020 Nov 30.

Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, USA.

Self-efficacy (SE) and information processing (IP) may be important constructs to target when designing mHealth interventions for weight loss. The goal of this study was to examine the relationship between SE and IP with weight loss at six-months as part of the Dietary Interventions Examining Tracking with mobile study, a six-month randomized trial with content delivered remotely via twice-weekly podcasts. Participants were randomized to self-monitor their diet with either a mobile app (n = 42) or wearable Bite Counter device (n = 39). Read More

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November 2020

Importance of Multiple Reinforcing Comments and Areas for Change in Optimizing Dietary and Exercise Self-Monitoring Feedback in Behavioral Weight Loss Programs: Factorial Design.

J Med Internet Res 2020 11 23;22(11):e18104. Epub 2020 Nov 23.

Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.

Background: Individualized dietary and physical activity self-monitoring feedback is a core element of behavioral weight loss interventions and is associated with clinically significant weight loss. To our knowledge, no studies have evaluated individuals' perspectives on the composition of feedback messages or the effect of feedback composition on the motivation to self-monitor.

Objective: This study aims to assess the perceptions of feedback emails as a function of the number of comments that reinforce healthy behavior and the number of areas for change (ie, behavioral changes that the individual might make to have an impact on weight) identified. Read More

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November 2020

Changes in Patient-Reported Outcome Measures With a Technology-Supported Behavioral Lifestyle Intervention Among Patients With Type 2 Diabetes: Pilot Randomized Controlled Clinical Trial.

JMIR Diabetes 2020 Jul 24;5(3):e19268. Epub 2020 Jul 24.

University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.

Background: In the United States, more than one-third of the adult population is obese, and approximately 25.2% of those aged ≥65 years have type 2 diabetes (T2D), which is the seventh leading cause of death. It is important to measure patient-reported outcomes and monitor progress or challenges over time when managing T2D to understand patients' perception of health and quantify the impact of disease processes or intervention effects. Read More

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Investigating the Efficacy and Cost-Effectiveness of Technology-Delivered Personalized Feedback on Dietary Patterns in Young Australian Adults in the Advice, Ideas, and Motivation for My Eating (Aim4Me) Study: Protocol for a Randomized Controlled Trial.

JMIR Res Protoc 2020 May 22;9(5):e15999. Epub 2020 May 22.

Priority Research Centre for Physical Activity and Nutrition, School of Health Sciences, University of Newcastle, Callaghan, Australia.

Background: Web-based health interventions may be easier to access and time efficient relative to face-to-face interventions and therefore may be the most appropriate mode to engage young adults.

Objective: This study aims to investigate the impact of 3 different levels of personalized web-based dietary feedback and support on changes in diet quality.

Methods: The Advice, Ideas, and Motivation for My Eating (Aim4Me) study is a 12-month assessor-blinded, parallel-group randomized controlled trial evaluating the impact of 3 levels of web-based feedback on diet quality, measured using the Australian Recommended Food Score (ARFS). Read More

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The SMARTER Trial: Design of a trial testing tailored mHealth feedback to impact self-monitoring of diet, physical activity, and weight.

Contemp Clin Trials 2020 04 19;91:105958. Epub 2020 Feb 19.

University of Utah, School of Medicine, Salt Lake City, UT, United States of America.

Background: Self-monitoring food intake and physical activity (PA) is positively related to weight loss and the addition of feedback (FB) messages has been shown to reinforce behavior change. Moreover, the more immediate the delivery of reinforcing FB messages, the more likely they will promote the desired behaviors.

Purpose: Describe design and rationale of SMARTER, a National Institute of Heart, Lung, and Blood (NHLBI)-sponsored randomized, controlled trial, which compares the differential efficacy of two weight loss treatments among 530 adults, ages 18 and older. Read More

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Advancement in Dietary Assessment and Self-Monitoring Using Technology.

Nutrients 2019 Jul 19;11(7). Epub 2019 Jul 19.

School Health Science, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia.

On the surface, some methods to assess and self-monitor dietary intake may be considered similar; however, the intended function of each is quite distinct [... Read More

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An Evaluation of Digital Health Tools for Diabetes Self-Management in Hispanic Adults: Exploratory Study.

JMIR Diabetes 2019 Jul 16;4(3):e12936. Epub 2019 Jul 16.

Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.

Background: Although multiple self-monitoring technologies for type 2 diabetes mellitus (T2DM) show promise for improving T2DM self-care behaviors and clinical outcomes, they have been understudied in Hispanic adult populations who suffer disproportionately from T2DM.

Objective: The objective of this study was to evaluate the acceptability, feasibility, and potential integration of wearable sensors for diabetes self-monitoring among Hispanic adults with self-reported T2DM.

Methods: We conducted a pilot study of T2DM self-monitoring technologies among Hispanic adults with self-reported T2DM. Read More

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The value of Continuous Glucose Monitoring and Self-Monitoring of Blood Glucose in patients with Gestational Diabetes Mellitus during Ramadan fasting.

Diabetes Res Clin Pract 2019 May 26;151:260-264. Epub 2019 Feb 26.

Institute of Public Health, UAE University, United Arab Emirates.

Introduction: In order to achieve the recommended glycemic control, women with Gestational Diabetes Mellitus (GDM) are instructed to self-monitor blood glucose (SMBG) regularly. The purpose of this study was to evaluate glucose readings provided by Continuous Glucose Monitoring (CGM) and SMBG in GDM patients during Ramadan fasting.

Methods: This is a prospective observational study that recruited GDM patients treated with diet ± metformin were enrolled. Read More

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Examining the efficacy of a multicomponent m-Health physical activity, diet and sleep intervention for weight loss in overweight and obese adults: randomised controlled trial protocol.

BMJ Open 2018 10 30;8(10):e026179. Epub 2018 Oct 30.

Physical Activity Research Group, School for Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia.

Introduction: Traditional behavioural weight loss trials targeting improvements in physical activity and diet are modestly effective. It has been suggested that sleep may have a role in weight loss and maintenance. Improving sleep health in combination with physical activity and dietary behaviours may be one strategy to enhance traditional behavioural weight loss trials. Read More

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October 2018

Updated clinical practice guidelines on pregnancy care.

Med J Aust 2018 11;209(9):409-412

Department of Health, Canberra, ACT.

Introduction: The clinical practice guidelines on pregnancy care have been developed to provide reliable and standardised guidance for health professionals providing antenatal care in Australia. They were originally released as the Clinical Practice Guidelines: Antenatal Care in two separate editions (modules 1 and 2) in 2012 and 2014. These modules have now been combined and updated to form a single set of consolidated guidelines that were publicly released in February 2018 as the Clinical Practice Guidelines: Pregnancy Care. Read More

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November 2018

Longitudinal Validity and Reliability of Brief Smartphone Self-Monitoring of Diet, Stress, and Physical Activity in a Diverse Sample of Mothers.

JMIR Mhealth Uhealth 2018 Sep 21;6(9):e176. Epub 2018 Sep 21.

Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, United States.

Background: Multiple strategies can be used when self-monitoring diet, physical activity, and perceived stress, but no gold standards are available. Although self-monitoring is a core element of self-management and behavior change, the success of mHealth behavioral tools depends on their validity and reliability, which lack evidence. African American and Latina mothers in the United States are high-priority populations for apps that can be used for self-monitoring of diet, physical activity, and stress because the body mass index (BMI) of mothers typically increases for several years after childbirth and the risks of obesity and its' sequelae diseases are elevated among minority populations. Read More

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September 2018

Significant effect of group education in patients with diabetes type 1.

Hormones (Athens) 2018 Sep 15;17(3):397-403. Epub 2018 Aug 15.

1st Medical Propedeutic Dept. of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 1 Kiriakidi, 54621, Thessaloniki, Greece.

Objective: Type 1 diabetes mellitus (T1DM) constitutes a real challenge in everyday practice for both physicians and patients. Due to the complexity of the disease and its unpredictable nature, structured education and training programs are nowadays implemented that ensure active patient involvement and self-care behaviors to achieve adequate glycemic control, prevent diabetic complications, and improve the quality of life of patients. These programs provide patients with the necessary knowledge and skills to self-monitor and self-manage the disease and its associated metabolic conditions. Read More

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September 2018

Adherence to self-monitoring healthy lifestyle behaviours through mobile phone-based ecological momentary assessments and photographic food records over 6 months in mostly ethnic minority mothers.

Public Health Nutr 2018 03 4;21(4):679-688. Epub 2017 Dec 4.

6Nexleaf Analytics,Los Angeles,CA,USA.

Objective: Mobile phones can replace traditional self-monitoring tools through cell phone-based ecological momentary assessment (CEMA) of lifestyle behaviours and camera phone-based images of meals, i.e. photographic food records (PFR). Read More

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Byte by Bite: Use of a mobile Bite Counter and weekly behavioral challenges to promote weight loss.

Smart Health (Amst) 2017 Sep 26;3-4:20-26. Epub 2017 Apr 26.

Professor, Psychology, Clemson University, Clemson, SC USA.

The goal of this study was to examine the usability and feasibility of the mobile Bite Counter (a watch-like device that detects when a user consumes food or beverage) and the impact of weekly behavioral challenges on diet and physical activity outcomes. Overweight (mean BMI 31.1±4. Read More

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September 2017

Effectiveness of a Self-monitoring Device for Urinary Sodium-to-Potassium Ratio on Dietary Improvement in Free-Living Adults: a Randomized Controlled Trial.

J Epidemiol 2018 Jan 25;28(1):41-47. Epub 2017 Oct 25.

Department of Public Health, Shiga University of Medical Science.

Background: Reducing the urinary sodium-to-potassium ratio is important for reducing both blood pressure and risk of cardiovascular disease. Among free-living Japanese individuals, we carried out a randomized trial to clarify the effect of lifestyle modification for lowering urinary sodium-to-potassium ratio using a self-monitoring device.

Methods: This was an open, prospective, parallel randomized, controlled trial. Read More

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January 2018

Randomised controlled trial of a text messaging intervention for reducing processed meat consumption: The mediating roles of anticipated regret and intention.

Appetite 2017 10 24;117:152-160. Epub 2017 Jun 24.

School of Psychology, University of Leeds, UK.

The present study aimed to extend the literature on text messaging interventions involved in promoting healthy eating behaviours. The theoretical framework was the Theory of Planned Behaviour (TPB). A randomized controlled trial was used to test the impact of daily text messages compared to no message (groups) for reducing processed meat consumption (PMC) over a 2 week period, testing the sequential mediation role of anticipated regret and intention on the relationship between groups and PMC reduction. Read More

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October 2017

The Dietary Intervention to Enhance Tracking with Mobile Devices (DIET Mobile) Study: A 6-Month Randomized Weight Loss Trial.

Obesity (Silver Spring) 2017 08 10;25(8):1336-1342. Epub 2017 Jun 10.

Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, South Carolina, USA.

Objective: To examine the use of two different mobile dietary self-monitoring methods for weight loss.

Methods: Adults with overweight (n = 81; mean BMI 34.7 ± 5. Read More

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Effects of an abbreviated obesity intervention supported by mobile technology: The ENGAGED randomized clinical trial.

Obesity (Silver Spring) 2017 07 11;25(7):1191-1198. Epub 2017 May 11.

Department of Public Health Sciences, University of Chicago, Chicago, Illinois.

Objective: To determine the effects on weight loss of three abbreviated behavioral weight loss interventions with and without coaching and mobile technology.

Methods: A randomized controlled efficacy study of three 6-month weight loss treatments was conducted in 96 adults with obesity: 1) self-guided (SELF), 2) standard (STND), or 3) technology-supported (TECH). STND and TECH received eight in-person group treatment sessions. Read More

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Trading pounds for points: Engagement and weight loss in a mobile health intervention.

Digit Health 2017 Jan-Dec;3:2055207617702252. Epub 2017 Apr 24.

Computer Science and Engineering, University of South Carolina, USA.

Objective: The objective of this study was to describe participant engagement and examine predictors of weight loss and points earned through the point-based incentive system of the Social Pounds Off Digitally (POD) app.

Materials And Methods: Overweight and obese adults with Android smartphones/tablets (body mass index 25-49.9 kg/m;  = 24) were recruited for a 3-month weight loss intervention. Read More

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Weight management in adults with intellectual and developmental disabilities: A randomized controlled trial of two dietary approaches.

J Appl Res Intellect Disabil 2018 Jan 23;31 Suppl 1:82-96. Epub 2017 Mar 23.

Cardiovascular Research Institute, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, KS, USA.

Background: The prevalence of obesity among individuals with intellectual and developmental disabilities (IDD) is equal to or greater than the general population.

Methods: Overweight/obese adults (BMI ≥25 kg/m ) with mild-to-moderate intellectual and developmental disabilities were randomized to an enhanced stop light diet (eSLD = SLD + portion-controlled meals, n = 78) or a conventional diet (CD, n = 72) for an 18 months trial (6 months weight loss, 12 months maintenance). Participants were asked to increase physical activity (150 min/week), self-monitor diet and physical activity and attend counselling/educational sessions during monthly home visits. Read More

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January 2018

Technology to engage hospitalised patients in their nutrition care: a qualitative study of usability and patient perceptions of an electronic foodservice system.

J Hum Nutr Diet 2017 10 16;30(5):563-573. Epub 2017 Feb 16.

National Centre of Research Excellence in Nursing, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia.

Background: Active patient involvement in nutrition care may improve dietary intakes in hospital. Our team is developing an innovative programme allowing patients to self-assess and self-monitor their nutrition at the bedside. The present study aimed to assess usability and patient perceptions of an electronic foodservice system (EFS) for participating in nutrition care. Read More

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October 2017

Weight Loss Associated With Different Patterns of Self-Monitoring Using the Mobile Phone App My Meal Mate.

JMIR Mhealth Uhealth 2017 Feb 2;5(2):e8. Epub 2017 Feb 2.

Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.

Background: Obesity is a major global public health issue due to its association with a number of serious chronic illnesses and its high economic burden to health care providers. Self-monitoring of diet has been consistently linked to weight loss. However, there is limited evidence about how frequently individuals need to monitor their diet for optimal weight loss. Read More

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February 2017

Measuring diet in the 21st century: use of new technologies.

Authors:
Janet E Cade

Proc Nutr Soc 2017 08 15;76(3):276-282. Epub 2016 Dec 15.

Nutritional Epidemiology Group,School of Food Science and Nutrition, University of Leeds,Leeds LS2 9JT,UK.

The advent of the internet and smartphone technology has allowed dietary assessment to reach the 21st century! The variety of foods available on the supermarket shelf is now greater than ever before. New approaches to measuring diet may help to reduce measurement error and advance our understanding of nutritional determinants of disease. This advance provides the potential to capture detailed dietary data on large numbers of individuals without the need for costly and time-consuming manual nutrition coding. Read More

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Is a Picture Worth a Thousand Words? Few Evidence-Based Features of Dietary Interventions Included in Photo Diet Tracking Mobile Apps for Weight Loss.

J Diabetes Sci Technol 2016 11 1;10(6):1399-1405. Epub 2016 Nov 1.

Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, USA.

Background: Apps using digital photos to track dietary intake and provide feedback are common, but currently there has been no research examining what evidence-based strategies are included in these apps.

Methods: A content analysis of mobile apps for photo diet tracking was conducted, including whether effective techniques for interventions promoting behavior change, including self-regulation, for healthy eating (HE) are targeted. An initial search of app stores yielded 34 apps (n = 8 Android and Apple; n = 11 Android; n = 15 Apple). Read More

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November 2016

Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app.

Int J Med Inform 2016 10 2;94:81-90. Epub 2016 Jul 2.

Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA. Electronic address:

Objective: To test the efficacy of a weight loss mobile app based on recommender systems and developed by experts in health promotion and computer science to target social support and self-monitoring of diet, physical activity (PA), and weight (Social POD app), compared to a commercially available diet and PA tracking app (standard).

Materials And Methods: Overweight adults [N=51] were recruited and randomly assigned to either the experimental group [n=26; theory-based podcasts (TBP)+Social POD app] or the comparison group (n=25; TBP+standard app). The Social POD app issued notifications to encourage users to self-monitor and send theory-based messages to support users who had not self-monitored in the previous 48h. Read More

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October 2016

Devices for Self-Monitoring Sedentary Time or Physical Activity: A Scoping Review.

J Med Internet Res 2016 May 4;18(5):e90. Epub 2016 May 4.

Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Loughborough University, Loughborough, United Kingdom.

Background: It is well documented that meeting the guideline levels (150 minutes per week) of moderate-to-vigorous physical activity (PA) is protective against chronic disease. Conversely, emerging evidence indicates the deleterious effects of prolonged sitting. Therefore, there is a need to change both behaviors. Read More

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How to manage warfarin therapy.

Aust Prescr 2015 Apr 1;38(2):44-8. Epub 2015 Apr 1.

Pharmacy Department, Flinders Medical Centre, Adelaide.

Long-term treatment with warfarin is recommended for patients with atrial fibrillation at risk of stroke and those with recurrent venous thrombosis or prosthetic heart valves. Patient education before commencing warfarin - regarding signs and symptoms of bleeding, the impact of diet, potential drug interactions and the actions to take if a dose is missed - is pivotal to successful use. Scoring systems such as the CHADS2 score are used to determine if patients with atrial fibrillation are suitable for warfarin treatment. Read More

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The NULevel trial of a scalable, technology-assisted weight loss maintenance intervention for obese adults after clinically significant weight loss: study protocol for a randomised controlled trial.

Trials 2015 Sep 22;16:421. Epub 2015 Sep 22.

Institute of Health & Society, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.

Background: Effective weight loss interventions are widely available but, after weight loss, most individuals regain weight. This article describes the protocol for the NULevel trial evaluating the effectiveness and cost-effectiveness of a systematically developed, inexpensive, scalable, technology-assisted, behavioural intervention for weight loss maintenance (WLM) in obese adults after initial weight loss.

Methods/design: A 12-month single-centre, two-armed parallel group, participant randomised controlled superiority trial is underway, recruiting a total of 288 previously obese adults after weight loss of ≥5 % within the previous 12 months. Read More

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September 2015

Patients who self-monitor blood glucose and their unused testing results.

Am J Manag Care 2015 Feb 1;21(2):e119-29. Epub 2015 Feb 1.

2101 Webster St, 20th Fl, Oakland, CA 94612. E-mail:

Objectives: To investigate the prevalence, predictors, and costs associated with unused results from self-monitoring of blood glucose (SMBG).

Study Design: Observational cohort study.

Methods: We studied 7320 patients with type 2 diabetes mellitus who were not prescribed insulin and who reported SMBG. Read More

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February 2015