Trial reportJournal of health communication2016
Health Literacy and Weight Change in a Digital Health Intervention for Women: A Randomized Controlled Trial in Primary Care Practice.
Trial report in Journal of health communication, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
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
21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Enhancing patient knowledge and behaviour through digital health communication: a systematic review and random-effects meta-analysis of mobile, web-based, social media, telehealth, and AI-enabled interventions.Frontiers in public health · 2026Pooled it
- Evaluation of the Aspects of Digital Interventions That Successfully Support Weight Loss: Systematic Review With Component Network Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Self-Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity.Obesity (Silver Spring, Md.) · 2021Pooled it
- Health Literacy Directed Weight Loss Intervention in Primary Care Clinics.Health literacy research and practice · 2024Trial
- Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study.JMIR mHealth and uHealth · 2024Trial
- Characteristics Associated With Participation in a Behavioral Weight Loss Randomized Control Trial in the U.S. Military.Military medicine · 2019Trial
- Effectiveness of an App and Provider Counseling for Obesity Treatment in Primary Care.American journal of preventive medicine · 2018Trial
- Digital Health Literacy: A systematic review of interventions and their influence on healthcare access and sustainable development Goal-3 (SDG-3).Pakistan journal of medical sciences · 2025Review
- Article
- Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review.JMIR medical informatics · 2022Article
- Co-Creation of Massive Open Online Courses to Improve Digital Health Literacy in Pregnant and Lactating Women.International journal of environmental research and public health · 2022Article
- Nutrition Literacy of Middle School Students and Its Influencing Factors: A Cross-Sectional Study in Chongqing, China.Frontiers in public health · 2022Article
- Article
- Self-estimated BMI, but not self-perceived body size, accurately identifies unhealthy weight in US adults.BMC public health · 2021Article
- Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial.JMIR research protocols · 2021Article
- Examination of Nutrition Literacy and Quality of Self-monitoring in Behavioral Weight Loss.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018Article
- Improvement of health literacy and intervention measurements among low socio-economic status women: findings from the MyBFF@home study.BMC women's health · 2018Article
- Small Incentives Improve Weight Loss in Women From Disadvantaged Backgrounds.American journal of preventive medicine · 2018Article
- The effect of a weight gain prevention intervention on moderate-vigorous physical activity among black women: the Shape Program.The international journal of behavioral nutrition and physical activity · 2017Article
- Depressive Symptoms and Length of U.S. Residency Are Associated with Obesity among Low-Income Latina Mothers: A Cross-Sectional Analysis.International journal of environmental research and public health · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
In the United States, 90 million adults have low health literacy. An important public health challenge is developing obesity treatment interventions suitable for those with low health literacy. The objective of this study was to examine differences in sociodemographic and clinical characteristics as well as weight and intervention engagement outcomes by health literacy. We randomized 194 participants to usual care or to the Shape Program intervention, a 12-month digital health treatment aimed at preventing weight gain among overweight and Class I obese Black women in primary care practice. We administered the Newest Vital Sign instrument to assess health literacy. More than half (55%) of participants had low health literacy, which was more common among those with fewer years of education and lower income. There was no effect of health literacy on 12-month weight change or on intervention engagement outcomes (completion of coaching calls and interactive voice response self-monitoring calls). Low health literacy did not preclude successful weight gain prevention in the Shape Program intervention. Goal-focused behavior change approaches like that used in Shape may be particularly helpful for treating and engaging populations with low health literacy.
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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.