Trial reportJournal of behavioral medicine2010
Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.
Trial report in Journal of behavioral medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Describing Transitions in Adherence to Physical Activity Self-monitoring and Goal Attainment in an Online Behavioral Weight Loss Program: Secondary Analysis of a Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- Determinants of Pregnant Women's Online Self-Regulatory Activities for Appropriate Gestational Weight Gain.Health communication · 2015Trial
- Examining behavioral processes through which lifestyle interventions promote weight loss: results from PREMIER.Obesity (Silver Spring, Md.) · 2014Trial
- Patterns of success: online self-monitoring in a web-based behavioral weight control program.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2013Trial
- Biophysiologic outcomes of the Enhancing Adherence in Type 2 Diabetes (ENHANCE) trial.Journal of the Academy of Nutrition and Dietetics · 2012Trial
- Personal digital assistant-based self-monitoring adherence rates in 2 dialysis dietary intervention pilot studies: BalanceWise-HD and BalanceWise-PD.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2011Trial
- PDA+: A Personal Digital Assistant for Obesity Treatment - an RCT testing the use of technology to enhance weight loss treatment for veterans.BMC public health · 2011Trial
- Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.Journal of behavioral medicine · 2010Trial
- The EVO study protocol for a randomized controlled evaluation trial of an optimized weight management intervention.Contemporary clinical trials · 2022Article
- Importance of Multiple Reinforcing Comments and Areas for Change in Optimizing Dietary and Exercise Self-Monitoring Feedback in Behavioral Weight Loss Programs: Factorial Design.Journal of medical Internet research · 2020Article
- Impact of text message-based intervention for weight control and health-promoting lifestyle behaviors of overweight and obese children.Journal of education and health promotion · 2020Article
- Pilot Study for the Development of a Self-Care System for Type 2 Diabetes Patients Using a Personal Digital Assistant (PDA).International journal of behavioral medicine · 2016Article
- Long-term engagement with a mobile self-management system for people with type 2 diabetes.JMIR mHealth and uHealth · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Knowledge of factors associated with the use of technology could inform the design of technology-based behavioral interventions. This study examined modifiable and nonmodifiable factors associated with technology-based self-monitoring. 123 participants with type 2 diabetes self-monitored diet using a personal digital assistant in a 6-month behavioral intervention. Multinomial logistic regression was used to examine probability of nonadherent and suboptimally adherent behavior relative to adherent behavior. Sociodemographic characteristics were not associated with probability of self-monitoring. Probability of adherence generally was greater in the weeks preceding no group session, and lower in the weeks following no group session or following skipped sessions. Non-modifiable factors suggested by the literature to be associated with poorer access to technology (lower income, older age, minority race, and lower education) were not associated with probability of self-monitoring in this population.
Indexed as
Identifiers
20232131What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.