Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program

Psychological Support Strategies for Adults With Type 2 Diabetes in a Very Low-Carbohydrate Web-Based Program: Randomized Controlled Trial

BACKGROUND

A very low-carbohydrate (VLC) nutritional strategy may improve glycemic control and weight loss in adults with type 2 diabetes (T2D). However, the supplementary behavioral strategies that might be able to improve outcomes using this nutritional strategy are uncertain.

OBJECTIVE

This study aims to compare the impact of adding 3 different supplementary behavioral strategies to a web-based VLC diet intervention. To our knowledge, this is the first trial to randomize participants to different frequencies of dietary self-monitoring.

METHODS

The study included 112 overweight adults with T2D (hemoglobin A1c ≥6.5%) taking no antiglycemic medications or only metformin. They received a remotely delivered 12-month VLC diet intervention. Participants were randomly assigned through a full factorial 2×2×2 design to supplementary strategies: either daily or monthly dietary self-monitoring, either mindful eating training or not, and either positive affect skills training or not. Our research goal was to determine whether 3 different supplemental strategies had at least a medium effect size (Cohen d=0.5).

RESULTS

Overall, the VLC intervention led to statistically significant improvements in glycemic control (-0.70%, 95% CI -1.04% to -0.35%; P<.001), weight loss (-6.82%, 95% CI -8.57% to -5.08%; P<.001), and depressive symptom severity (Cohen d -0.67, 95% CI -0.92 to -0.41; P<.001). Furthermore, 30% (25/83) of the participants taking metformin at baseline reduced or discontinued their metformin. Only 1 Cohen d point estimate reached 0.5; daily (vs monthly) dietary self-monitoring had a worse impact on depressive symptoms severity (Cohen d=0.47, 95% CI -0.02 to 0.95; P=.06). None of the strategies had a statistically significant effect on outcomes. For changes in our primary outcome, hemoglobin A1c, the daily (vs monthly) dietary self-monitoring impact was 0.42% (95% CI -0.28% to 1.12%); for mindful eating, it was -0.47% (95% CI -1.15% to 0.22%); and for positive affect, it was 0.12% (95% CI -0.57% to 0.82%). Other results for daily (vs monthly) dietary self-monitoring were mixed, suggesting an increase in weight (0.98%) and depressive symptoms (Cohen d=0.47), less intervention satisfaction (Cohen d=-0.20), more sessions viewed (3.02), and greater dietary adherence (Cohen d=0.24). For mindful eating, the results suggested a benefit for dietary adherence (Cohen d=0.24) and intervention satisfaction (Cohen d=0.30). For positive affect, the results suggested a benefit for depressive symptoms (Cohen d=-0.32), the number of sessions viewed (3.68), dietary adherence (Cohen d=0.16), and intervention satisfaction (Cohen d=0.25).

CONCLUSIONS

Overall, our results support the use of a VLC diet intervention in adults with T2D. The addition of monthly (not daily) dietary self-monitoring, mindful eating, and positive affect skills training did not show a definitive benefit, but it is worth further testing.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03037528; https://clinicaltrials.gov/ct2/show/NCT03037528.

A pilot randomized trial of simplified versus standard calorie dietary self-monitoring in a mobile weight loss intervention

OBJECTIVE

This study tested the efficacy of a lower-burden, simplified dietary self-monitoring approach compared with a standard calorie monitoring approach for self-monitoring adherence and weight loss in a mobile-delivered behavioral weight loss intervention.

METHODS

Participants (n = 72) with overweight or obesity who had children 2 to 12 years of age living in the home were randomly assigned to a group that used simplified dietary self-monitoring of high-calorie foods (Simplified) or a group that tracked calories (Standard). Both groups received a wireless scale, Fitbit trackers, and a 6-month intervention delivered via a smartphone application with lessons, text messages, and weekly personalized feedback messages.

RESULTS

Percentage weight loss at 6 months was 5.7% (95% CI: -8.3% to -3.2%) in the Standard group and 4.0% (95% CI: -5.7% to -2.3%) in the Simplified group, which was not significantly different. Similar proportions reached 5% weight loss at 6 months (43.2% in Standard and 42.9% in Simplified). There were no differences in number of dietary tracking days or change in average daily caloric intake between groups.

CONCLUSIONS

Two mobile-delivered weight loss interventions produced clinically meaningful levels of weight loss at 6 months, with no differences in dietary tracking adherence or dietary intake. The results suggest that simplified monitoring of high-calorie foods could be a promising alternative to calorie monitoring.

Adherence to mobile‐app‐based dietary self‐monitoring—Impact on weight loss in adults

Objectives

Greater dietary self‐monitoring adherence is associated with weight loss, however, the dietary self‐monitoring adherence criteria that predict weight loss are unknown. The criteria used to define adherence to dietary self‐monitoring in obesity treatment tend to vary, particularly in studies that include dietary self‐monitoring via mobile applications (apps). The objectives of this study were to (a) determine weight change outcomes related to app‐based dietary self‐monitoring and (b) determine the associations between the frequency, consistency, and completeness of dietary self‐monitoring and weight change.

Methods

In this single‐arm uncontrolled prospective study, employees at a large, urban health system who had overweight or obesity self‐monitored dietary intake for 8 weeks using the Calorie Counter by FatSecret app. A paired sample t‐test examined the association of app‐based dietary self‐monitoring and weight change; linear regression examined the associations of frequent, consistent, and complete dietary self‐monitoring and weight change.

Results

A significant mean difference [t (89) = 6.59, p < 0.001] was found between baseline and 8‐week weight (M = −1.5 ± 2.1 kg) in the sample (N = 90). Linear regression revealed a significant association [F (1, 88) = 7.18, p = 0.009] between total weeks of consistent dietary self‐monitoring (M = 4.4 ± 2.8) and percent weight loss (M = −1.54% ± 2.26%), and a significant association [F (1, 88) = 6.42, p = 0.013] between dietary self‐monitoring frequency (M = 50.1% ± 33.3%) and percent weight loss. The total weeks of complete dietary self‐monitoring (M = 3.42 ± 2.87) was not associated [F (1, 88) = 3.57, p = 0.062] with percent weight loss.

Conclusions

Consistent and frequent app‐based dietary self‐monitoring were associated with short‐term weight loss. Emphasizing these aspects of self‐monitoring may be an avenue for decreasing the burden of self‐monitoring.

Associations between effort, importance, and self-monitoring during and after a 12-week behavioural weight management program

Objective

Self‐monitoring of weight and caloric intake has been associated with improved weight loss and weight loss maintenance in behavioural weight loss programs; however, participants' adherence to self‐monitoring tends to decrease over time. To identify potential barriers to self‐monitoring adherence, the current study examined week‐to‐week associations between ratings of perceived effort, relative importance of weight loss goals, and adherence to self‐monitoring of weight and caloric intake during and after a behavioural weight loss programme.

Method

Participants were 74 adults with overweight and obesity enrolled in a 12‐week, Internet‐based weight loss programme followed by a 40‐week “maintenance” period during which no additional intervention was provided. Participants self‐reported adherence to self‐monitoring and completed ratings of effort and importance on a study website weekly throughout the study period (1 year).

Results

Longitudinal multilevel models demonstrated that higher ratings of effort were associated with fewer days of self‐monitoring of weight, β = −0.100, p < .0001, and caloric intake, β = −0.300, p < .0001. Conversely, higher ratings of importance were associated with more frequent self‐monitoring of weight, β = 0.360, p < .0001, and caloric intake, β = 0.742, p < .0001. Moreover, the magnitude of these associations were stronger during the maintenance period than during initial intervention, ps < .01.

Conclusions

Perceptions of effort and importance are both independently associated with adherence to self‐monitoring weight and caloric intake, and this effect appears to be stronger after the end of initial intervention. Future research should investigate whether tailoring intervention content based on these constructs can improve adherence to self‐monitoring.

Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis

Alongside an increase in obesity, society is experiencing the development of substantial technological advances. Interventions that are easily scalable, such as lifestyle (including diet and physical activity) mobile health (mHealth) self-monitoring, may be highly valuable in the prevention and treatment of excess weight. Thus, the aims of this systematic review and meta-analysis were to estimate the following: (i) the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss and (ii) the adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring. MEDLINE via PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and the Web of Science databases were systematically searched. The DerSimonian and Laird method was used to estimate the effect of and adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss. Twenty studies were included in the systematic review and meta-analysis, yielding a moderate decrease in weight and higher adherence to intervention of behavioral weight management interventions using lifestyle mHealth self-monitoring, which was greater than other interventions. Subgroup analyses showed that smartphones were the most effective mHealth approach to achieve weight management and the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring was more pronounced when compared to usual care and in the short-term (less than six months). Furthermore, behavioral weight management interventions using lifestyle mHealth self-monitoring showed a higher adherence than: (i) recording on paper at any time and (ii) any other intervention at six and twelve months.

Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point

Background

Minorities have an increased incidence of early-onset, obesity-related cerebrovascular disease. Unfortunately, effective weight management in this vulnerable population has significant barriers.

Objective

Our objective was to determine the feasibility and preliminary treatment effects of a smartphone-based weight loss intervention versus food journals to monitor dietary patterns in minority stroke patients.

Methods

Swipe out Stroke was a pilot prospective randomized controlled trial with open blinded end point. Minority stroke patients and their caregivers were screened for participation using cluster enrollment. We used adaptive randomization for assignment to a behavior intervention with (1) smartphone-based self-monitoring or (2) food journal self-monitoring. The smartphone group used Lose it! to record meals and communicate with us. Reminder messages (first 30 days), weekly summaries plus reminder messages on missed days (days 31-90), and weekly summaries only (days 91-180) were sent via push notifications. The food journal group used paper diaries. Both groups received 4 in-person visits (baseline and 30, 90, and 180 days), culturally competent counseling, and educational materials. The primary outcome was reduced total body weight.

Results

We enrolled 36 stroke patients (n=23, 64% African American; n=13, 36% Hispanic), 17 in the smartphone group, and 19 in the food journal group. Mean age was 54 (SD 9) years; mean body mass index was 35.7 (SD 5.7) kg/m2; education, employment status, and family history of stroke or obesity did not differ between the groups. Baseline rates of depression (Patient Health Questionnaire-9 [PHQ-9] score median 5.5, IQR 3.0-9.5), cognitive impairment (Montreal Cognitive Assessment score median 23.5, IQR 21-26), and inability to ambulate (5/36, 14% with modified Rankin Scale score 3) were similar. In total, 25 (69%) stroke survivors completed Swipe out Stroke (13/17 in the smartphone group, 12/19 in the food journal group); 1 participant in the smartphone group died. Median weight change at 180 days was 5.7 lb (IQR –2.4 to 8.0) in the smartphone group versus 6.4 lb (IQR –2.2 to 12.5; P=.77) in the food journal group. Depression was significantly lower at 30 days in the smartphone group than in the food journal group (PHQ-9 score 2 vs 8; P=.03). Clinically relevant depression rates remained in the zero to minimal range for the smartphone group compared with mild to moderate range in the food journal group at day 90 (PHQ-9 score 3.5 vs 4.5; P=.39) and day 180 (PHQ-9 score 3 vs 6; P=.12).

Conclusions

In a population of obese minority stroke survivors, the use of a smartphone did not lead to a significant difference in weight change compared with keeping a food journal. The presence of baseline depression (19/36, 53%) was a confounding variable, which improved with app engagement. Future studies that include treatment of poststroke depression may positively influence intervention efficacy.

Trial Registration

ClinicalTrials.gov NCT02531074; https://www.clinicaltrials.gov/ct2/show/NCT02531074

Why Do Lifestyle Recommendations Fail in Most Patients with Nonalcoholic Fatty Liver Disease?

Nonalcoholic fatty liver disease has been recognized as a major health burden. The efficacy and safety profile of pharmacotherapy in the treatment of nonalcoholic fatty liver disease remains uncertain; therefore, lifestyle modification is the first line of treatment. Based on available data, patients should optimally achieve at least a 5% to 10% weight reduction for histologic improvement. There is no clear consensus on the optimal diet or exercise regimen. Sustainability of any intervention is key to success; however, compliance has been a major issue in clinical trials. This finding underscores the importance of multidisciplinary strategies to achieve targeted weigh loss.

Effects of social exclusion and maternal rejection on Children's high-caloric food consumption

Research has shown that the quality of interpersonal relationships plays an important role in influencing childhood obesity-risk behavior. However, studies conducted so far have focused mostly on self-report data. But they rarely control for the effect of experimentally-induced social rejection or perceived maternal rejection. The aim of this study was to investigate the effects of the quality of the maternal relationships as well as experimentally-induced social rejection on children's motivation to consume high-caloric food. Eighty children (8-12 years of age) and their mothers participated in an experimental study. Participants were randomly assigned to a social inclusion (acceptance) or exclusion (rejection) condition in a computer-based ball-toss game (Cyberball). After completing the Cyberball game, children were presented with high-caloric food and were evaluated on the amount of the food they consumed. Participants also completed a self-report questionnaire assessing their perceptions of their mothers' acceptance-rejection. Further, mothers' Body Mass Index (BMI) was measured, and a semi-structured interview was conducted to assess the tendency of mothers to regulate their child's stress with food. Results showed that the consumption of high-caloric food was directly influenced by the children's perceptions of maternal acceptance-rejection, and by the experience of brief, experimentally-induced social exclusion (rejection). Additionally, children's consumption of high-caloric food was related to their mothers' use of food to help regulate children's distress, and by the children's own BMI. The results document the importance of affective-relational experiences in the development of childhood obesity. The results also highlight the apparent fact that regardless of individual and family characteristics, the experience of even short-term social rejection can activate obesity-risk behaviors which deplete children's self-regulatory mechanisms, thereby resulting in more consumption of high-caloric food.

Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss

This randomized trial demonstrated qualified support for the ability of a machine learning-powered, smartphone-based just-in-time, adaptive intervention to enhance weight loss over and above a commercial weight loss program.

The impact of the interventionist-participant relationship on treatment adherence and weight loss

Little is known about the impact of the relationship built between interventionists and their participants on weight loss. Our objective is to determine whether stronger early (i.e., 4 weeks) participant-interventionist bond is associated with significantly greater weight loss success and treatment adherence. Three hundred and ninety-eight participants received an online group behavioral weight control program over 18 months. Weight was measured objectively at baseline and at 6 and 18 months. At 4 weeks, participants completed the Working Alliance Inventory (WAI) bonding subscale, which measures the collaborative bond with the interventionist. Adherence (i.e., session attendance and online self-monitoring diary completion) was recorded by the interventionists. Participant-interventionist bond at 4 weeks was significantly associated with weight loss at 6 months (t(322) = -2.14, p = .03) but not at 18 months (t(290) = 0.53, p = .60). The model indicated that participant-interventionist bond at 4 weeks was a significant predictor of adherence at 6 months (b = .063, standard error [SE] = .30, p = .04), and 6 month adherence was a significant predictor of weight loss at 6 months (b = -.594, SE = .049, p < .0001). The indirect effect of the WAI-Bond subscale was significant (b = -.037, p = .03, 95% confidence interval: -.074, -.002) and accounted for 54% of the total effect of participant-interventionist bond on weight loss. However, the total weight loss explained by WAI-Bond subscale was small (0.04 kg). Participant-interventionist bond between participant and interventionist is an early predictor of treatment adherence and weight loss success at 6 months; however, the degree of weight loss explained by participant-interventionist bond is small and was not maintained at 18 months.

Lose your weight with online buddies: behavioral contagion in an online weight-loss community

Purpose

A question of interest is whether online social networks are effective in promoting behavioral changes and weight loss. The purpose of this paper is to examine the contagion effect of an online buddy network on individuals’ self-monitoring behavior.

Design/methodology/approach

This study collects data from an online weight-loss community and constructs an online buddy network. This study compares the effects of the network structure of the buddy network and the actor attributes when predicting self-monitoring performance by employing the auto-logistic actor attribute models.

Findings

This study confirms the contagion effect on weigh-in behavior in the online buddy network. The contagion effect is significantly predictive when controlling for actor attribute and other network structure effects.

Originality/value

There is limited evidence that one’s weight-related behavior can be affected by online social contacts. This study contributes to the literature on peer influence on health by examining the contagion effect on weight-related behavior between online buddies. The findings can assist in designing peer-based interventions to harness influence from online social contacts for weight loss.

Reasons for low adherence to diet-diaries issued to pediatric dental patients: a collective case study

OBJECTIVE

Dietary habits are an important etiological factor in the development of dental caries. Several tools, such as 24-h dietary recall (retrospective) and diet-diaries (prospective), have been recommended for dietary assessment in dental practice. Diet-diaries are commonly advocated as a tool for oral health education; however, low adherence is found to be a recognized downside of their use in dental settings, as well as nutritional research more widely. However, the reasons for poor adherence to diet-diaries remain unclear. This study aimed to explore the reasons for poor adherence to diet-diaries issued to children in a dental hospital setting.

METHODS

A qualitative collective case study design was employed to explore the use of diet-diaries as a health education tool. Twenty-eight data sources across 11 appointments included: observation of dentist-patient interactions, semi-structured interviews with child-parent dyads and dentists, in addition to documentary analysis of returned diet-diaries (this included 11 observations of dentist-patient interactions, 14 interviews with the child/parent dyads and dentists, and documentary analysis of three completed diet-diaries). Data from these multiple sources were integrated in a thematic analysis to identify themes and sub-themes.

RESULTS

Two overarching themes were identified: 1) the diet-diary is perceived as a test which carries a potential for embarrassment and blame, which in turn generates defensive behavior from parents; and 2) parents' values, priorities, and circumstances affect the level of commitment to completing a diet-diary.

CONCLUSION

Low adherence to diet-diary completion in clinical dentistry results from interacting factors related to the diet-diary itself, the patient, and the clinician. This study identifies a need for a more appropriate tool for dietary assessment that is patient-centered and compatible with modern lifestyles.

Do Fitness Apps Need Text Reminders? An Experiment Testing Goal-Setting Text Message Reminders to Promote Self-Monitoring

Fitness tracking apps have the potential to change unhealthy lifestyles, but users' lack of compliance is an issue. The current intervention examined the effectiveness of using goal-setting theory-based text message reminders to promote tracking activities on fitness apps. We conducted a 2-week experiment with pre- and post-tests with young adults (n = 50). Participants were randomly assigned to two groups-a goal-setting text message reminder group and a generic text message reminder group. Participants were asked to use a fitness tracking app to log physical activity and diet for the duration of the study. Participants who received goal-setting reminders logged significantly more physical activities than those who only received generic reminders. Further, participants who received goal-setting reminders liked the messages and showed significantly increased self-efficacy, awareness of personal goals, motivation, and intention to use the app. The study shows that incorporating goal-setting theory-based text message reminders can be useful to boost user compliance with self-monitoring fitness apps by reinforcing users' personal goals and enhancing cognitive factors associated with health behavior change.

Comparing Diet and Exercise Monitoring Using Smartphone App and Paper Diary: A Two-Phase Intervention Study

Background

There is increasing recognition that personalized approaches may be more effective in helping people establish healthier eating patterns and exercise more, and that this approach may be particularly effective in adolescents.

Objective

The objective of this study was to investigate the use of a smartphone app (FoodWiz2) in supporting healthy lifestyle choices in adolescence.

Methods

Participants (N=34: 11 male, 23 female) aged 16-19 years in full- or part-time education were recruited from sixth form colleges, schools, and other further education establishments in Norfolk and Suffolk, United Kingdom, between February and May 2015. Participants recorded food intake and exercise using a paper diary for 4-5 weeks and then used the app for the same duration. Initial nutrition education and general support were provided during the paper diary use, but the app included personalized messages sent in response to app activity. At the end of each study phase, participants completed an online questionnaire to describe their experience of using the paper diary and app.

Results

Record completion declined throughout the study, possibly affected by examination pressure. Food intake data showed increased fruit consumption and significantly reduced consumption of chocolate snacks (P=.01) and fizzy drinks (P=.002) among participants using the app. Questionnaire responses indicated that the app was generally preferred to the paper diary, in particular, the app was seen as less boring to use (P=.03) and more acceptable in social settings (P<.001).

Conclusions

This app-based approach has shown the potential for a more effective approach to improving adolescent diet and exercise levels.

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

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 ± 5.6 kg/m²) were randomized to self-monitor their diet with a mobile app (App, n = 42) or wearable Bite Counter device (Bite, n = 39). Both groups received the same behavioral weight loss information via twice-weekly podcasts. Weight, physical activity (International Physical Activity Questionnaire), and energy intake (two dietary recalls) were assessed at 0, 3, and 6 months.

RESULTS:

At 6 months, 75% of participants completed the trial. The App group lost significantly more weight (−6.8 ± 0.8 kg) than the Bite group (−3.0 ± 0.8 kg; group × time interaction: P < 0.001). Changes in energy intake (kcal/d) (−621 ± 157 App, −456 ± 167 Bite; P = 0.47) or number of days diet was tracked (90.7 ± 9.1 App, 68.4 ± 9.8 Bite; P = 0.09) did not differ between groups, but the Bite group had significant increases in physical activity metabolic equivalents (+2015.4 ± 684.6 min/wk; P = 0.02) compared to little change in the App group (−136.5 ± 630.6; P = 0.02). Total weight loss was significantly correlated with number of podcasts downloaded (r = −0.33, P < 0.01) and number of days diet was tracked (r = −0.33, P < 0.01).

CONCLUSIONS:

While frequency of diet tracking was similar between the App and Bite groups, there was greater weight loss observed in the App group.

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

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 ± 5.6 kg/m² ) were randomized to self-monitor their diet with a mobile app (App, n = 42) or wearable Bite Counter device (Bite, n = 39). Both groups received the same behavioral weight loss information via twice-weekly podcasts. Weight, physical activity (International Physical Activity Questionnaire), and energy intake (two dietary recalls) were assessed at 0, 3, and 6 months.

RESULTS

At 6 months, 75% of participants completed the trial. The App group lost significantly more weight (-6.8 ± 0.8 kg) than the Bite group (-3.0 ± 0.8 kg; group × time interaction: P < 0.001). Changes in energy intake (kcal/d) (-621 ± 157 App, -456 ± 167 Bite; P = 0.47) or number of days diet was tracked (90.7 ± 9.1 App, 68.4 ± 9.8 Bite; P = 0.09) did not differ between groups, but the Bite group had significant increases in physical activity metabolic equivalents (+2015.4 ± 684.6 min/wk; P = 0.02) compared to little change in the App group (-136.5 ± 630.6; P = 0.02). Total weight loss was significantly correlated with number of podcasts downloaded (r = -0.33, P < 0.01) and number of days diet was tracked (r = -0.33, P < 0.01).

CONCLUSIONS

While frequency of diet tracking was similar between the App and Bite groups, there was greater weight loss observed in the App group.

A workplace intervention designed to interrupt prolonged occupational sitting

Purpose

– The purpose of this paper is to investigate the effectiveness of a workplace intervention designed to interrupt prolonged occupational sitting time (POST) and its impact on the self-reported health of a cohort of desk-based employees.

Design/methodology/approach

– In total, 43 participants received an interactive computer-based software intervention for 26 weeks. For the first 13 weeks the intervention passively prompted the participants to interrupt POST and perform brief bouts of non-purposeful movement. The second 13 weeks involved the passivity of the intervention being removed, with the intervention only accessible voluntarily by the participant. This approach was adopted to determine the sustainability of the intervention to change workplace health behaviour.

Findings

– ANOVA results revealed a significant interaction between group and test occasion, F(2, 42)=2.79, p < 0.05, such that the experimental group increased their total health from pre-test to post-test (13 weeks), and to second post-test (26 weeks) with a medium effect size of Cohen’s d=0.37.

Research limitations/implications

– An action research approach was implemented for this study, and hence the participants were organised into one group. Based on a communitarian model, the intervention aimed to monitor how desk-based employees adapted to specific health behaviours, and therefore a control group was not included.

Practical implications

– Passively prompting desk-based employees to interrupt POST and perform non-purposeful movement at work improved self-reported health. Participant perceptions of health were maintained following the removal of the passive feature of the intervention.

Social implications

– Interventions predicated on a social ecological model that modify how employees interact with the workplace environment might provide a framework for health behaviour change in populations where sitting is customary.

Originality/value

– The passive approach used in this study removed the individual decision-making process to engage in health behaviour change, and established a sustainable effect on participant health.

Swipe out Stroke: Feasibility and efficacy of using a smart-phone based mobile application to improve compliance with weight loss in obese minority stroke patients and their carers

RATIONALE

Swipe out Stroke (SOS) examines the use of a smartphone-based mobile application to reduce obesity in high-risk minority stroke patients. At record-high levels in the United States, obesity disproportionately affects minorities and is highly correlated with cerebrovascular disease. Unfortunately, structured weight loss programs are expensive, and compliance significantly decreases upon program completion. Mobile health (mHealth) technology is an innovative, cost-effective way to bridge this gap. Minorities spend over 4.5 billion dollars annually on consumer electronics, making studies that utilize mHealth applications ideal for health promotion and disease prevention.

AIMS AND DESIGN

SOS is a prospective, randomized-controlled trial with open blinded endpoint comparing an mHealth based dietary intervention to usual care to facilitate weight reduction. Ischemic and hemorrhagic stroke survivors and their carers are recruited from the acute care service of a Houston-based comprehensive stroke center. A neurorehabilitation physician or vascular neurologist meets with participants during the index hospitalization, a baseline clinic visit, followed by visits at 1, 3, and 6 month intervals. The SOS Team focuses on feasible modifications to the Southern dietary pattern (fried foods, fatty foods, added fats, eggs, processed meats, such as bacon and ham, organ meats (e.g., liver), and sweetened drinks) and caloric restriction to facilitate a 5% reduction in total body weight. Practical barriers to adherence are addressed, such as access to transportation, financial limitations, and depression.

STUDY OUTCOMES

The primary dependent measure is a reduction of total body weight. Secondary outcomes include systolic blood pressure, hemoglobin A1c, low-density lipoprotein, triglycerides, and Factor VIII.

CONCLUSION

SOS will determine whether a Phase III effectiveness trial of a smartphone-based mobile application to address obesity-related health disparities is warranted throughout the Southeastern United States (Stroke Belt).

No Difference in Average Interdialytic Weight Gain Observed in a Randomized Trial With a Technology-Supported Behavioral Intervention to Reduce Dietary Sodium Intake in Adults Undergoing Maintenance Hemodialysis in the United States: Primary Outcomes of the BalanceWise Study

OBJECTIVE

To evaluate the efficacy of behavioral counseling combined with technology-based self-monitoring for sodium restriction in hemodialysis (HD) patients.

DESIGN

Randomized clinical trial.

SUBJECTS

English literate adults undergoing outpatient, in-center intermittent HD for at least 3 months.

INTERVENTIONS

Over a 16-week period, both the intervention and the attention control groups were shown 6 educational modules on the HD diet. The intervention group also received social cognitive theory-based behavioral counseling and monitored their diets daily using handheld computers.

MAIN OUTCOME MEASURES

Average daily interdialytic weight gain (IDWGA) was calculated for every week of HD treatment over the observation period by subtracting the post-dialysis weight at the previous treatment time (t-1) from the pre-dialysis weight at the current treatment time (t), dividing by the number of days between treatments. Three 24-hour dietary recalls were obtained at baseline, 8 weeks, and 16 weeks and evaluated using the Nutrient Data System for Research.

RESULTS

A total of 179 participants were randomized, and 160 (89.4%) completed final measurements. IDWGA did not differ significantly by treatment group at any time point considered (P > .79 for each). A significant differential change in dietary sodium intake observed at 8 weeks (-372 mg/day; P = .05) was not sustained at 16 weeks (-191 mg/day; P = .32).

CONCLUSION

The BalanceWise Study intervention appeared to be feasible and acceptable to HD patients although IDWGA was unchanged and the desired behavioral changes observed at 8 weeks were not sustained. Unmeasured factors may have contributed to the mixed findings, and further research is needed to identify the appropriate patients for such interventions.

The effect of an e-health intervention designed to reduce prolonged occupational sitting on mean arterial pressure

OBJECTIVE

To evaluate the effect of a workplace health intervention designed to reduce prolonged occupational sitting on the mean arterial pressure (MAP) of desk-based employees.

METHODS

This randomized controlled trial involved an experimental group who received an e-health intervention and a control group who did not. The 13-week intervention passively prompted participants to stand and engage in short bouts of office-based physical activity by interrupting prolonged occupational sitting time periodically throughout the workday. Mean arterial pressure was measured at pretest and posttest.

RESULTS

Between pretest and posttest the experimental group significantly reduced their MAP, whereas MAP in the control group did not.

CONCLUSIONS

A workplace e-health intervention designed to reduce prolonged occupational sitting was effective in decreasing MAP in desk-based employees.

Web-Based Intervention for Nutritional Management in Cystic Fibrosis: Development, Usability, and Pilot Trial

OBJECTIVES

Usability and pilot testing of a web intervention (BeInCharge.org [BIC]) of behavior plus nutrition intervention for children with cystic fibrosis (CF) ages 4-9 years.

METHODS

Think Aloud methodology was used with five mothers to assess usability and refine the intervention. A pilot trial was then conducted with 10 mothers of children with CF ages 4-9 years randomized to the web-based BIC or a Standard Care Control (STC). Change in weight gain for each group was compared in a pre-to-post design.

RESULTS

Mothers rated the usability and clarity of BIC highly. The pilot trial showed children of mothers who received BIC had a significant change in weight pre-to-post-treatment (0.67 kg, p = .04). Change for the STC was not significant (0.41 kg, p = .10).

CONCLUSIONS

A web-based behavior plus nutrition intervention appears promising in increasing weight gain in children with CF.

Promising approaches of computer-supported dietary assessment and management-Current research status and available applications

PURPOSE

The aim of this review was to analyze computer-based tools for dietary management (including web-based and mobile devices) from both scientific and applied perspectives, presenting advantages and disadvantages as well as the state of validation.

METHODS

For this cross-sectional analysis, scientific results from 41 articles retrieved via a medline search as well as 29 applications from online markets were identified and analyzed.

RESULTS

Results show that many approaches computerize well-established existing nutritional concepts for dietary assessment, e.g., food frequency questionnaires (FFQ) or dietary recalls (DR). Both food records and barcode scanning are less prominent in research but are frequently offered by commercial applications. Integration with a personal health record (PHR) or a health care workflow is suggested in the literature but is rarely found in mobile applications.

CONCLUSIONS

It is expected that employing food records for dietary assessment in research settings will be increasingly used when simpler interfaces, e.g., barcode scanning techniques, and comprehensive food databases are applied, which can also support user adherence to dietary interventions and follow-up phases of nutritional studies.

Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods

BACKGROUND

Self-administered survey questionnaires are an important data collection tool in clinical practice, public health research and epidemiology. They are ideal for achieving a wide geographic coverage of the target population, dealing with sensitive topics and are less resource-intensive than other data collection methods. These survey questionnaires can be delivered electronically, which can maximise the scalability and speed of data collection while reducing cost. In recent years, the use of apps running on consumer smart devices (i.e., smartphones and tablets) for this purpose has received considerable attention. However, variation in the mode of delivering a survey questionnaire could affect the quality of the responses collected.

OBJECTIVES

To assess the impact that smartphone and tablet apps as a delivery mode have on the quality of survey questionnaire responses compared to any other alternative delivery mode: paper, laptop computer, tablet computer (manufactured before 2007), short message service (SMS) and plastic objects.

SEARCH METHODS

We searched MEDLINE, EMBASE, PsycINFO, IEEEXplore, Web of Science, CABI: CAB Abstracts, Current Contents Connect, ACM Digital, ERIC, Sociological Abstracts, Health Management Information Consortium, the Campbell Library and CENTRAL. We also searched registers of current and ongoing clinical trials such as ClinicalTrials.gov and the World Health Organization (WHO) International Clinical Trials Registry Platform. We also searched the grey literature in OpenGrey, Mobile Active and ProQuest Dissertation & Theses. Lastly, we searched Google Scholar and the reference lists of included studies and relevant systematic reviews. We performed all searches up to 12 and 13 April 2015.

SELECTION CRITERIA

We included parallel randomised controlled trials (RCTs), crossover trials and paired repeated measures studies that compared the electronic delivery of self-administered survey questionnaires via a smartphone or tablet app with any other delivery mode. We included data obtained from participants completing health-related self-administered survey questionnaire, both validated and non-validated. We also included data offered by both healthy volunteers and by those with any clinical diagnosis. We included studies that reported any of the following outcomes: data equivalence; data accuracy; data completeness; response rates; differences in the time taken to complete a survey questionnaire; differences in respondent's adherence to the original sampling protocol; and acceptability to respondents of the delivery mode. We included studies that were published in 2007 or after, as devices that became available during this time are compatible with the mobile operating system (OS) framework that focuses on apps.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted data from the included studies using a standardised form created for this systematic review in REDCap. They then compared their forms to reach consensus. Through an initial systematic mapping on the included studies, we identified two settings in which survey completion took place: controlled and uncontrolled. These settings differed in terms of (i) the location where surveys were completed, (ii) the frequency and intensity of sampling protocols, and (iii) the level of control over potential confounders (e.g., type of technology, level of help offered to respondents). We conducted a narrative synthesis of the evidence because a meta-analysis was not appropriate due to high levels of clinical and methodological diversity. We reported our findings for each outcome according to the setting in which the studies were conducted.

MAIN RESULTS

We included 14 studies (15 records) with a total of 2275 participants; although we included only 2272 participants in the final analyses as there were missing data for three participants from one included study.Regarding data equivalence, in both controlled and uncontrolled settings, the included studies found no significant differences in the mean overall scores between apps and other delivery modes, and that all correlation coefficients exceeded the recommended thresholds for data equivalence. Concerning the time taken to complete a survey questionnaire in a controlled setting, one study found that an app was faster than paper, whereas the other study did not find a significant difference between the two delivery modes. In an uncontrolled setting, one study found that an app was faster than SMS. Data completeness and adherence to sampling protocols were only reported in uncontrolled settings. Regarding the former, an app was found to result in more complete records than paper, and in significantly more data entries than an SMS-based survey questionnaire. Regarding adherence to the sampling protocol, apps may be better than paper but no different from SMS. We identified multiple definitions of acceptability to respondents, with inconclusive results: preference; ease of use; willingness to use a delivery mode; satisfaction; effectiveness of the system informativeness; perceived time taken to complete the survey questionnaire; perceived benefit of a delivery mode; perceived usefulness of a delivery mode; perceived ability to complete a survey questionnaire; maximum length of time that participants would be willing to use a delivery mode; and reactivity to the delivery mode and its successful integration into respondents' daily routine. Finally, regardless of the study setting, none of the included studies reported data accuracy or response rates.

AUTHORS' CONCLUSIONS

Our results, based on a narrative synthesis of the evidence, suggest that apps might not affect data equivalence as long as the intended clinical application of the survey questionnaire, its intended frequency of administration and the setting in which it was validated remain unchanged. There were no data on data accuracy or response rates, and findings on the time taken to complete a self-administered survey questionnaire were contradictory. Furthermore, although apps might improve data completeness, there is not enough evidence to assess their impact on adherence to sampling protocols. None of the included studies assessed how elements of user interaction design, survey questionnaire design and intervention design might influence mode effects. Those conducting research in public health and epidemiology should not assume that mode effects relevant to other delivery modes apply to apps running on consumer smart devices. Those conducting methodological research might wish to explore the issues highlighted by this systematic review.

Mobile technology boosts the effectiveness of psychotherapy and behavioral interventions: a meta-analysis

We conducted a meta-analysis on the effects of mobile technology on treatment outcome for psychotherapy and other behavioral interventions. Our search of the literature resulted in 26 empirical articles describing 25 clinical trials testing the benefits of smartphone applications, personal digital assistants (PDAs), or text messaging systems either to supplement treatment or substitute for direct contact with a clinician. Overall, mobile technology use was associated with superior treatment outcome across all study designs and control conditions, effect size (ES) = .34, p < .0001. For the subset of 10 studies that looked specifically at the added benefit of mobile technology using a rigorous "Treatment" versus "Treatment + Mobile" design, effect sizes were only slightly more modest (ES = .27) and still significant (p < .05). Overall, the results support the role of mobile technology for the delivery of psychotherapy and other behavioral interventions.

Personalised nutrition: the role of new dietary assessment methods

Food records or diaries, dietary recalls and FFQ are methods traditionally used to measure dietary intake; however, advancing technologies and growing awareness in personalised health have heightened interest in the application of new technologies to assess dietary intake. Dietary intake data can be used in epidemiology, dietary interventions and in the delivery of personalised nutrition advice. Compared with traditional dietary assessment methods, new technologies have many advantages, including their ability to automatically process data and provide personalised dietary feedback advice. This review examines the new technologies presently under development for the assessment of dietary intakes, and their utilisation and efficacy for personalising dietary advice. New technology-based methods of dietary assessment can broadly be categorised into three key areas: online (web-based) methods, mobile methods and sensor technologies. Several studies have demonstrated that utilising new technologies to provide tailored advice can result in positive dietary changes and have a significant impact on selected nutrient and food group intakes. However, comparison across studies indicates that the magnitude of change is variable and may be influenced by several factors, including the frequency and type of feedback provided. Future work should establish the most effective combinations of these factors in facilitating dietary changes across different population groups.

Comparison of a Web-Based Dietary Assessment Tool with Software for the Evaluation of Dietary Records

Background

Dietary assessment in clinical practice is performed by means of computer support, either in the form of a web-based tool or software. The aim of the paper is to present the results of the comparison of a Slovenian web-based tool with German software for the evaluation of four-day weighted paper-and-pencil-based dietary records (paper-DRs) in pregnant women.

Methods

A volunteer group of pregnant women (n=63) completed paper-DRs. These records were entered by an experienced research dietitian into a web-based application (Open Platform for Clinical Nutrition, OPEN, http://opkp.si/en, Ljubljana, Slovenia) and software application (Prodi 5.7 Expert plus, Nutri-Science, Stuttgart, Germany, 2011). The results for calculated energy intake, as well as 45 macro- and micronutrient intakes, were statistically compared by using the non-parametric Spearman’s rank correlation coefficient. The cut-off for Spearman’s rho was set at >0.600.

Results

12 nutritional parameters (energy, carbohydrates, fat, protein, water, potassium, calcium, phosphorus, dietary fiber, vitamin C, folic acid, and stearic acid) were in high correlation (>0.800), 18 in moderate (0.600–0.799), 11 in weak correlation (0.400–0.599), while 5 (arachidonic acid, niacin, alpha-linolenic acid, fluoride, total sugars) did not show any statistical correlation.

Conclusion

Comparison of the results of the evaluation of dietary records using a web-based dietary assessment tool with those using software shows that there is a high correlation for energy and macronutrient content.

Validation of life-charts documented with the personal life-chart app - a self-monitoring tool for bipolar disorder

BACKGROUND

Long-term monitoring in bipolar affective disorders constitutes an important therapeutic and preventive method. The present study examines the validity of the Personal Life-Chart App (PLC App), in both German and in English. This App is based on the National Institute of Mental Health's Life-Chart Method, the de facto standard for long-term monitoring in the treatment of bipolar disorders.

METHODS

Methods have largely been replicated from 2 previous Life-Chart studies. The participants documented Life-Charts with the PLC App on a daily basis. Clinicians assessed manic and depressive symptoms in clinical interviews using the Inventory of Depressive Symptomatology, clinician-rated (IDS-C) and the Young Mania Rating Scale (YMRS) on a monthly basis on average. Spearman correlations of the total scores of IDS-C and YMRS were calculated with both the Life-Chart functional impairment rating and mood rating documented with the PLC App. 44 subjects used the PLC App in German and 10 subjects used the PLC App in English. 118 clinical interviews from the German sub-sample and 97 from the English sub-sample were analysed separately.

RESULTS

The results in both sub-samples are similar to previous Life-Chart validation studies. Again statistically significant high correlations were found between the Life-Chart function rating assigned through the PLC App and well-established observer-rated methods. Again correlations were weaker for the Life-Chart mood rating than for the Life-Chart function impairment. No relevant correlation was found between the Life-chart mood rating and YMRS in the German sub-sample.

CONCLUSION

This study gives further evidence for the validity of the Life-Chart method as a valid tool for the recognition of both manic and depressive episodes. Documenting Life-Charts with the PLC App (English and German) does not seem to impair the validity of patient ratings.

Use of electronic dietary assessment tools in primary care: an interdisciplinary perspective

BACKGROUND

Dietary assessment can be challenging for many reasons, including the wide variety of foods, eating patterns and nutrients to be considered. In team-based primary care practice, various disciplines may be involved in assessing diet. Electronic-based dietary assessment (e-DA) instruments available now through mobile apps or websites can potentially facilitate dietary assessment. Providers views of facilitators and barriers related to e-DA instruments and their recommendations for improvement can inform the further development of these tools. The objective of this study was to explore provider perspectives on e-DA tools in mobile apps and websites.

METHODS

The exploratory sequential mixed methods design included interdisciplinary focus groups followed by a web-based survey sent to Family Health Teams throughout Ontario, Canada. Descriptive and bivariate analyses were completed. Focus group transcripts contributed to web-survey content, while interpretive themes added depth and context.

RESULTS

11 focus groups with 50 providers revealed varying perspectives on the use of e-DA for: 1) improving patients' eating habits; 2) improving the quality of dietary assessment; and, 3) integrating e-DA into the care process. In the web-survey 191 respondents from nine disciplines in 73 FHTs completed the survey. Dietitians reported greater use of e-DA than other providers (63% vs.19%; p = .000) respectively. There was strong interest among disciplines in the use of e-DA tools for the management of obesity, diabetes and heart disease, especially for patient self-monitoring. Barriers identified were: patients' lack of comfort with using technology, misinterpretation of e-DA results by patients, time and education for providers to interpret results, and time for providers to offer counselling.

CONCLUSIONS

e-DA tools in mobile apps and websites may improve dietary counselling over time. Addressing the identified facilitators and barriers can potentially promote the uptake of e-DA into clinical practice.

The Tracking Study: description of a randomized controlled trial of variations on weight tracking frequency in a behavioral weight loss program

BACKGROUND

Observational evidence from behavioral weight control trials and community studies suggests that greater frequency of weighing oneself, or tracking weight, is associated with better weight outcomes. Conversely, it has also been suggested that frequent weight tracking may have a negative impact on mental health and outcomes during weight loss, but there are minimal experimental data that address this concern in the context of an active weight loss program. To achieve the long-term goal of strengthening behavioral weight loss programs, the purpose of this randomized controlled trial (the Tracking Study) is to test variations on frequency of self-weighing during a behavioral weight loss program, and to examine psychosocial and mental health correlates of weight tracking and weight loss outcomes. This paper describes the study design, intervention features, recruitment, and baseline characteristics of participants enrolled in the Tracking Study.

METHODS/DESIGN

Three hundred thirty-nine overweight and obese adults were recruited and randomized to one of three variations on weight tracking frequency during a 12-month weight loss program with a 12-month follow-up: daily weight tracking, weekly weight tracking, or no weight tracking. The primary outcome is weight in kilograms at 24 months. The weight loss program integrates each weight tracking instruction with standard behavioral weight loss techniques (goal setting, self-monitoring, stimulus control, dietary and physical activity enhancements, lifestyle modifications); participants in weight tracking conditions were provided with wireless Internet technology (wi-fi-enabled digital scales and touchscreen personal devices) to facilitate weight tracking during the study.

CONCLUSION

This study was successful in recruiting adult male and female participants and is positioned to enhance the standard of care with regard to weight tracking recommendations.

Examining perceptions of a smartphone-based intervention system for alcohol use disorders

BACKGROUND

This study presents results from qualitative interviews conducted with participants in a study on the effectiveness of the Location-Based Monitoring and Intervention System for Alcohol Use Disorders (LBMI-A), a smartphone-based, stand-alone intervention application (app) for adults with alcohol use disorders.

MATERIALS AND METHODS

Participants were provided an LBMI-A-enabled smartphone to use during a 6-week pilot study. The LBMI-A was composed of psychoeducational modules, assessment and feedback of alcohol use patterns, geographic high-risk location monitoring and alerts, and in vivo assessment and intervention for alcohol cravings and help with managing psychological distress. Semistructured interviews were conducted with all participants following 6 weeks of interacting with the LBMI-A app (n=26). Interviews explored user perceptions of the ease and utility of LBMI-A features, module helpfulness, barriers to use, and recommendations for improvements to the program. Researchers applied a systematic qualitative coding process to transcripts that included both a priori themes identified as important by the research team and new themes that emerged during the coding process.

RESULTS AND CONCLUSIONS

Narrative analysis found the emergence of five main themes identified by LBMI-A users as the most helpful functions of the phone: (1) Awareness, (2) Accountability, (3) Skill Transference, (4) Tracking Progress, and (5) Prompts. These themes are explored, and implications of these findings for future smartphone-based interventions are discussed.

Assessment of the impact of a workplace intervention to reduce prolonged occupational sitting time

We aim to provide a better picture of the outcomes associated with implementing a nonpurposeful, physical activity, e-health intervention in a professional workplace. There is a need for health professionals to evaluate physical-activity-based workplace health interventions with a full range of measures. Using a social ecological model as a basis, we identify a range of subjective outcomes from 15 interviews of a cross section of participants. We document that not only did participants report a range of positive outcomes across multiple systems of influence, but they experienced some negative outcomes because of disruption to work flow and a changing of work habit. We conclude that using subjective evaluations provides a comprehensive picture of the factors that influence judgments of the efficacy of a workplace health intervention.

A cross-sectional study assessing Australian general practice patients' intention, reasons and preferences for assistance with losing weight

BACKGROUND

The high prevalence of overweight and obesity in the population is concerning, as these conditions increase an individual's risk of various chronic diseases. General practice is an ideal setting to target the reduction of overweight or obesity. Examining general practice patients' intentions to lose weight and preferences for assistance with managing their weight is likely to be useful in informing weight management care provided in this setting. Thus, this study aimed to: 1) identify the proportion and characteristics of patients intending to change weight in the next six months; 2) reasons for intending to change weight and preferences for different modes of weight management assistance in overweight and obese patients.

METHODS

A cross-sectional study was conducted with 1,306 Australian adult general practice patients. Consenting patients reported via a touchscreen computer questionnaire their demographic characteristics, intention to lose weight in the next six months, reasons for wanting to lose weight, preferred personnel to assist with weight loss and willingness to accept support delivered via telephone, mobile and internet.

RESULTS

Fifty six percent (n = 731) of patients intended to lose weight in the next six months. Females, younger patients, those with a level of education of trade certificate and above or those with high cholesterol had significantly higher odds of intending to lose weight. "Health" was the top reason for wanting to lose weight in normal weight (38%), overweight (57%) and obese (72%) patients. More than half of overweight (61%) or obese (74%) patients reported that they would like help to lose weight from one of the listed personnel, with the dietitian and general practitioner (GP) being the most frequently endorsed person to help patients with losing weight. Almost 90% of overweight or obese participants indicated being willing to accept support with managing their weight delivered via the telephone.

CONCLUSIONS

Most overweight or obese general practice patients intended to lose their weight in the next six months for health reasons. Younger females, with higher level of education or had high cholesterol had significantly higher odds of reporting intending to lose weight in the next six months. An opportunity exists for GPs to engage patients in weight loss discussions in the context of improving health. Interventions involving GP and dietitians with weight management support delivered via telephone, should be explored in future studies in this setting.

Teledietetics improves weight reduction by modifying eating behavior: a randomized controlled trial

BACKGROUND

Weight reduction without behavioral modification is not sustainable. However, with a technology application such as teledietetics, the recording process could be a cognitive cue for individuals to change their eating behavior. This study tested obese participants to determine whether teledietetics shows better results in weight reduction.

STUDY DESIGN AND METHODS

We conducted a double-blinded randomized controlled trial. The participants in the food diary (FD) and electronic diary (ED) groups recorded their dietary intakes in logbooks and on an electronic diary system, respectively. The participants in the control group (CG) did nothing. Subjects were adults 20-60 years of age with a body mass index (BMI) of ≥25 kg/m(2). The ED and FD groups were the intervention groups and were compared with the CG group. The participants' body weights, BMIs, fat percentages, waist-to-hip ratios (WHRs), and mean arterial pressures (MAPs) were measured before the study, at Week 6, and at Week 12. Demographic data were collected using self-administered questionnaires. A chi-squared test and descriptive statistics were used to describe the demographic and biomeasurement data. Repeated-measures analysis of variance was used to evaluate the effectiveness of the three groups over time.

RESULTS

Significant decreases in body weight (F1.705,86.950=20.508, p<0.001) and BMI (F1.657, 84.486=21.256, p<0.001) and insignificant decreases in fat percentage (F2,94=0.547, p=0.581), WHR (F1.785,91.052=2.888, p=0.067), and MAP (F2,94=7.542, p=0.0001) were observed among the three measurement times.

CONCLUSIONS

Electronic dietary records were better than food diaries in terms of fat percentage reduction in our trials, indicating that teledietetics increases healthy-eating awareness.

Digital photography as an educational food logging tool in obese patients with type 2 diabetes: lessons learned from a randomized, crossover pilot trial

PURPOSE

The purpose of this pilot study is to investigate the utility of, and areas of refinement for, digital photography as an educational tool for food logging in obese patients with type 2 diabetes (T2DM).

METHODS

Thirty-three patients aged 18 to 70 with T2DM, body mass index at least 30 kg/m(2), and A1C 7.5% to 9% were recruited from an endocrinology clinic and randomized to a week of food logging using a digital camera (DC) or paper diary (PD), crossing over for week 2. Patients then viewed a presentation about dietary effects on blood glucose, using patient DC and blood glucose entries. Outcomes of adherence (based on number of weekly entries), changes in mean blood glucose and frequency of blood glucose checks, and patient satisfaction were compared between methods. Patient feedback on the DC intervention and presentation was also analyzed.

RESULTS

Thirty patients completed the study. Adherence was identical across methods. The mean difference in number of entries was not significant between methods. This difference increased and neared statistical significance (favoring DC) among patients who were adherent for at least 1 week (21 entries, with 2 entries per day for 5 of 7 days, n = 25). Mean blood glucose did not significantly decrease in either method. Patient satisfaction was similar between interventions. Feedback indicated concerns over photograph accuracy, forgetting to use the cameras, and embarrassment using them in public.

CONCLUSION

Although the DC method was comparable to PD in adherence, blood glucose changes, and patient satisfaction in this pilot trial, patient feedback suggested specific areas of refinement to maximize utility of DC-based food logging as an educational tool in T2DM.

Dietary assessment and self-monitoring with nutrition applications for mobile devices

Nutrition applications for mobile devices (e.g., personal digital assistants, smartphones) are becoming increasingly accessible and can assist with the difficult task of intake recording for dietary assessment and self-monitoring. This review is a compilation and discussion of research on this tool for dietary intake documentation in healthy populations and those trying to lose weight. The purpose is to compare this tool with conventional methods (e.g., 24-hour recall interviews, paper-based food records). Research databases were searched from January 2000 to April 2011, with the following criteria: healthy or weight loss populations, use of a mobile device nutrition application, and inclusion of at least one of three measures, which were the ability to capture dietary intake in comparison with conventional methods, dietary self-monitoring adherence, and changes in anthropometrics and/or dietary intake. Eighteen studies are discussed. Two application categories were identified: those with which users select food and portion size from databases and those with which users photograph their food. Overall, positive feedback was reported with applications. Both application types had moderate to good correlations for assessing energy and nutrient intakes in comparison with conventional methods. For self-monitoring, applications versus conventional techniques (often paper records) frequently resulted in better self-monitoring adherence, and changes in dietary intake and/or anthropometrics. Nutrition applications for mobile devices have an exciting potential for use in dietetic practice.

A review of the nature and effectiveness of nutrition interventions in adult males--a guide for intervention strategies

Background

Energy excess, low fruit and vegetable intake and other suboptimal dietary habits contribute to an increased poor health and the burden of disease in males. However the best way to engage males into nutrition programs remains unclear. This review provides a critical evaluation of the nature and effectiveness of nutrition interventions that target the adult male population.

Methods

A search for full-text publications was conducted using The Cochrane Library; Web of Science; SCOPUS; MEDLINE and CINAHL. Studies were included if 1) published from January 1990 to August 2011 and 2) male only studies (≥18 years) or 3) where males contributed to >90% of the active cohort. A study must have described, (i) a significant change (p<0.05) over time in an objective measure of body weight, expressed in kilograms (kg) OR Body Mass Index (BMI) OR (ii) at least one significant change (p<0.05) in a dietary intake measure to qualify as effective. To identify emerging patterns within the research a descriptive process was used.

Results

Nine studies were included. Sample sizes ranged from 53 to 5042 male participants, with study durations ranging from 12 weeks to 24 months. Overlap was seen with eight of the nine studies including a weight management component whilst six studies focused on achieving changes in dietary intake patterns relating to modifications of fruit, vegetable, dairy and total fat intakes and three studies primarily focused on achieving weight loss through caloric restriction. Intervention effectiveness was identified for seven of the nine studies. Five studies reported significant positive changes in weight (kg) and/or BMI (kg/m²) changes (p≤0.05). Four studies had effective interventions (p<0.05) targeting determinants of dietary intake and dietary behaviours and/or nutritional intake.

Intervention features, which appeared to be associated with better outcomes, include the delivery of quantitative information on diet and the use of self-monitoring and tailored feedback.

Conclusion

Uncertainty remains as to the features of successful nutrition interventions for males due to limited details provided for nutrition intervention protocols, variability in mode of delivery and comparisons between delivery modes as well as content of information provided to participants between studies. This review offers knowledge to guide researchers in making informed decisions on how to best utilise resources in interventions to engage adult males while highlighting the need for improved reporting of intervention protocols.

Use of a computerized tracking system to monitor and provide feedback on dietary goals for calorie-restricted diets: the POUNDS LOST study

The use of self-monitoring as a tool to facilitate behavioral modification is common in many lifestyle-based weight loss interventions. Electronic tracking programs, including computer-based systems and smart phone applications, have been developed to allow individuals to self-monitor their behavior digitally. These programs offer an advantage over traditional self-report modalities in that they can provide users with direct feedback about dietary and/or physical activity adherence levels and thereby assist them in real-time decision making. This article describes the use of an Internet-based computerized tracking system (CTS) that was developed specifically for the POUNDS LOST study, a 2-year randomized controlled trial designed to test the efficacy of four macronutrient diets for weight and fat reduction in healthy, overweight men and women (body mass index range = 25.0-39.9 kg/m(2)). The CTS served many functions in this study, including data collection, dietary and exercise assessment and feedback, messaging system, and report generation. Across all groups, participants with high usage of the CTS during the initial 8 weeks lost greater amounts of weight than participants with low usage (8.7% versus 5.5% of initial body weight, respectively; p < .001) at week 32. Rates of CTS utilization were highest during the first year of this 2-year intervention, and utilization of the CTS declined steadily over time. The unique features of the CTS combined with technological developments, such as smart phone applications, offer significant potential to improve the user's self-monitoring experience and adherence to health promotion programs designed specifically for individuals with obesity and type 2 diabetes.

Mobile health applications to assist patients with diabetes: lessons learned and design implications

Self-management is critical to achieving diabetes treatment goals. Mobile phones and Bluetooth® can supportself-management and lifestyle changes for chronic diseases such as diabetes. A mobile health (mHealth) research platform--the Few Touch Application (FTA)--is a tool designed to support the self-management of diabetes. The FTA consists of a mobile phone-based diabetes diary, which can be updated both manually from user input and automatically by wireless data transfer, and which provides personalized decision support for the achievement of personal health goals. Studies and applications (apps) based on FTAs have included: (1) automatic transfer of blood glucose (BG) data; (2) short message service (SMS)-based education for type 1diabetes (T1DM); (3) a diabetes diary for type 2 diabetes (T2DM); (4) integrating a patient diabetes diary with health care (HC) providers; (5) a diabetes diary for T1DM; (6) a food picture diary for T1DM; (7) physical activity monitoring for T2DM; (8) nutrition information for T2DM; (9) context sensitivity in mobile self-help tools; and (10) modeling of BG using mobile phones. We have analyzed the performance of these 10 FTA-based apps to identify lessons for designing the most effective mHealth apps. From each of the 10 apps of FTA, respectively, we conclude: (1) automatic BG data transfer is easy to use and provides reassurance; (2) SMS-based education facilitates parent-child communication in T1DM; (3) the T2DM mobile phone diary encourages reflection; (4) the mobile phone diary enhances discussion between patients and HC professionals; (5) the T1DM mobile phone diary is useful and motivational; (6) the T1DM mobile phone picture diary is useful in identifying treatment obstacles; (7) the step counter with automatic data transfer promotes motivation and increases physical activity in T2DM; (8) food information on a phone for T2DM should not be at a detailed level; (9) context sensitivity has good prospects and is possible to implement on today's phones; and (10) BG modeling on mobile phones is promising for motivated T1DM users. We expect that the following elements will be important in future FTA designs: (A) automatic data transfer when possible; (B) motivational and visual user interfaces; (C) apps with considerable health benefits in relation to the effort required; (D) dynamic usage, e.g., both personal and together with HC personnel, long-/short-term perspective; and (E) inclusion of context sensitivity in apps. We conclude that mHealth apps will empower patients to take a more active role in managing their own health.

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

BACKGROUND

The World Health Organization (WHO) estimates that the number of obese or overweight individuals worldwide will increase to 1.5 billion by 2015. Chronic diseases associated with overweight or obesity include diabetes, heart disease, hypertension and stroke.

OBJECTIVES

To assess the effects of interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people.

SEARCH METHODS

We searched several electronic databases, including CENTRAL, MEDLINE, EMBASE, CINAHL, LILACS and PsycINFO, through 25 May 2011. We also searched clinical trials registries to identify studies. We scanned reference lists of included studies and relevant systematic reviews.

SELECTION CRITERIA

Studies were included if they were randomized controlled trials or quasi-randomized controlled trials that evaluated interactive computer-based weight loss or weight maintenance programs in adults with overweight or obesity. We excluded trials if the duration of the intervention was less than four weeks or the loss to follow-up was greater than 20% overall.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted study data and assessed risk of bias. Where interventions, control conditions, outcomes and time frames were similar between studies, we combined study data using meta-analysis.

MAIN RESULTS

We included 14 weight loss studies with a total of 2537 participants, and four weight maintenance studies with a total of 1603 participants. Treatment duration was between four weeks and 30 months. At six months, computer-based interventions led to greater weight loss than minimal interventions (mean difference (MD) -1.5 kg; 95% confidence interval (CI) -2.1 to -0.9; two trials) but less weight loss than in-person treatment (MD 2.1 kg; 95% CI 0.8 to 3.4; one trial). At six months, computer-based interventions were superior to a minimal control intervention in limiting weight regain (MD -0.7 kg; 95% CI -1.2 to -0.2; two trials), but not superior to infrequent in-person treatment (MD 0.5 kg; 95% -0.5 to 1.6; two trials). We did not observe consistent differences in dietary or physical activity behaviors between intervention and control groups in either weight loss or weight maintenance trials. Three weight loss studies estimated the costs of computer-based interventions compared to usual care, however two of the studies were 11 and 28 years old, and recent advances in technology render these estimates unlikely to be applicable to current or future interventions, while the third study was conducted in active duty military personnel, and it is unclear whether the costs are relevant to other settings. One weight loss study reported the cost-effectiveness ratio for a weekly in-person weight loss intervention relative to a computer-based intervention as USD 7177 (EUR 5678) per life year gained (80% CI USD 3055 to USD 60,291 (EUR 2417 to EUR 47,702)). It is unclear whether this could be extrapolated to other studies. No data were identified on adverse events, morbidity, complications or health-related quality of life.

AUTHORS' CONCLUSIONS

Compared to no intervention or minimal interventions (pamphlets, usual care), interactive computer-based interventions are an effective intervention for weight loss and weight maintenance. Compared to in-person interventions, interactive computer-based interventions result in smaller weight losses and lower levels of weight maintenance. The amount of additional weight loss, however, is relatively small and of brief duration, making the clinical significance of these differences unclear.

Using mHealth technology to enhance self-monitoring for weight loss: a randomized trial

BACKGROUND

Self-monitoring for weight loss has traditionally been performed with paper diaries. Technologic advances could reduce the burden of self-monitoring and provide feedback to enhance adherence.

PURPOSE

To determine if self-monitoring diet using a PDA only or the PDA with daily tailored feedback (PDA+feedback [FB]), was superior to using a paper diary on weight loss and maintenance.

DESIGN

The Self-Monitoring and Recording Using Technology (SMART) Trial was a 24-month randomized clinical trial; participants were randomly assigned to one of three self-monitoring groups.

SETTING/PARTICIPANTS

From 2006 to 2008, a total of 210 overweight/obese adults (84.8% female, 78.1% white) were recruited from the community. Data were analyzed in 2011.

INTERVENTION

Participants received standard behavioral treatment for weight loss that included dietary and physical activity goals, encouraged the use of self-monitoring, and was delivered in group sessions.

MAIN OUTCOME MEASURES

Percentage weight change at 24 months, adherence to self-monitoring over time.

RESULTS

Study retention was 85.6%. The mean percentage weight loss at 24 months was not different among groups (paper diary: -1.94%, 95% CI = -3.88, 0.01; PDA: -1.38%, 95% CI= -3.38, 0.62; PDA+FB: -2.32%, 95% CI= -4.29, -0.35); only the PDA+FB group (p=0.02) demonstrated a significant loss. For adherence to self-monitoring, there was a time-by-treatment group interaction between the combined PDA groups and the paper diary group (p=0.03) but no difference between PDA and PDA+FB groups (p=0.49). Across all groups, weight loss was greater for those who were adherent ≥60% versus <30% of the time (p<0.001).

CONCLUSIONS

PDA+FB use resulted in a small weight loss at 24 months; PDA use resulted in greater adherence to dietary self-monitoring over time. However, for sustained weight loss, adherence to self-monitoring is more important than the method used to self-monitor. A daily feedback message delivered remotely enhanced adherence and improved weight loss, which suggests that technology can play a role in improving weight loss.

TRIAL REGISTRATION

This study is registered at clinicaltrials.gov NCT00277771.

Evaluating Parents and Adult Caregivers as “Agents of Change” for Treating Obese Children: Evidence for Parent Behavior Change Strategies and Research Gaps

This scientific statement addresses parents and adult caregivers (PACs) as “agents of change” for obese children, evaluating the strength of evidence that particular parenting strategies can leverage behavior change and reduce positive energy balance in obese youth. The statement has 3 specific aims. The first is to review core behavior change strategies for PACs as used in family-based treatment programs and to provide a resource list. The second is to evaluate the strength of evidence that greater parental “involvement” in treatment is associated with better reductions in child overweight. The third is to identify research gaps and new opportunities for the field. This review yielded limited and inconsistent evidence from randomized controlled clinical trials that greater PAC involvement necessarily is associated with better child outcomes. For example, only 17% of the intervention studies reported differential improvements in child overweight as a function of parental involvement in treatment. On the other hand, greater parental adherence with core behavior change strategies predicted better child weight outcomes after 2 and 5 years in some studies. Thus, the literature lacks conclusive evidence that one particular parenting strategy or approach causally is superior to others in which children have a greater focus in treatment. A number of research gaps were identified, including the assessment of refined parenting phenotypes, cultural tailoring of interventions, examination of family relationships, and incorporation of new technologies. A conceptual model is proposed to stimulate research identifying the determinants of PAC feeding and physical activity parenting practices, the results of which may inform new treatments. The statement addresses the need for innovative research to advance the scope and potency of PAC treatments for childhood obesity.

Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioral intervention

BACKGROUND

Examination of mediating behavioral factors could explain how an intervention works and thus provide guidance to optimize behavioral weight-loss programs. This study examined the mediating role of adherence to self-monitoring of diet and physical activity on weight loss in a behavioral weight-loss trial testing the use of personal digital assistants (PDA) for self-monitoring.

METHODS

Mediation analysis was conducted to examine the possible mediating role of adherence to self-monitoring of diet and physical activity between treatments using varying self-monitoring methods (paper record, PDA, and PDA with daily tailored feedback messages) and weight loss.

FINDINGS

The sample (N = 210) was predominantly white (78%) and female (85%). Compared to a paper record, using a PDA for self-monitoring diet (P = 0.027) and physical activity (P = 0.014) had significant direct effects on weight loss at 12 months, as well as a significant indirect effect on outcomes through improved adherence to self-monitoring (P(S) < 0.001). Receiving an automated daily feedback message via PDA only had a significant indirect effect on weight through self-monitoring adherence to diet (P = 0.004) and physical activity (P = 0.002).

CONCLUSIONS

Adherence to self-monitoring of diet and physical activity is important as the underlying mechanism in this technology-supported behavioral weight-loss intervention.

Successful long-term weight loss maintenance in a rural population

BACKGROUND

Few investigations of successful long-term weight loss beyond two years have been conducted, and none has examined weight changes in medically underserved rural populations of older adults. The purpose of this study was to assess long-term weight loss maintenance 3.5 years after the completion of an initial six-month lifestyle intervention for obesity among women aged 50-75 years residing in rural communities.

METHODS

One hundred and ten obese women with a mean (± standard deviation) age of 60.08 ± 6.17 years and mean body mass index of 36.76 ± 5.10 kg/m(2) completed an in-person assessment during which their weight and adherence to behavioral weight management strategies were evaluated.

RESULTS

Participants showed a mean weight reduction of 10.17% ± 5.0% during the initial six- month intervention and regained 6.95% ± 9.44% from the completion of treatment to follow-up assessment 3.5 years later. A substantial proportion of participants (41.80%) were able to maintain weight reductions of 5% or greater from baseline to follow-up. "Successful" participants (those who maintained losses of 5% or greater at follow-up) reported weighing themselves, self-monitoring their intake and calories, planning meals in advance, and choosing lower calorie foods with greater frequency than "unsuccessful" participants (those who lost less than 5%).

CONCLUSION

Collectively, these findings indicate that a large proportion of participants were able to maintain clinically significant weight losses for multiple years after treatment, and that self-monitoring was a key component of successful long-term weight management.