Trial reportJournal of the Academy of Nutrition and Dietetics2013
The influence of a physician and patient intervention program on dietary intake.
Trial report in Journal of the Academy of Nutrition and Dietetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 7 of them syntheses that pooled it.
What it found
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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
16 citing papers in PubMed, 7 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Impact of fatty diets on blood pressure: A systematic review and meta-analysis.Asia Pacific journal of clinical nutrition · 2025Pooled it
- Reducing salt intake: a systematic review and meta-analysis of behavior change interventions in adults.Nutrition reviews · 2022Pooled it
- Use of the Healthy Eating Index in Intervention Studies for Cardiometabolic Risk Conditions: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2021Pooled it
- Pooled it
- Effects of total fat intake on body fatness in adults.The Cochrane database of systematic reviews · 2020Pooled it
- Review of behaviour change interventions to reduce population salt intake.The international journal of behavioral nutrition and physical activity · 2017Pooled it
- Effects of total fat intake on body weight.The Cochrane database of systematic reviews · 2015Pooled it
- A Town-Level Comprehensive Intervention Study to Reduce Salt Intake in China: Cluster Randomized Controlled Trial.Nutrients · 2022Trial
- Implementation of non-pharmacological interventions for the treatment of hypertension in primary care: a narrative review of effectiveness, cost-effectiveness, barriers, and facilitators.BMC primary care · 2022Review
- A feasibility study of a randomized controlled trial protocol to assess the impact of an eHealth intervention on the provision of dietary advice in primary care.Pilot and feasibility studies · 2022Article
- A Mobile Phone App Intervention to Promote Healthy Salt Intake Among Adults: Protocol for a Randomized Controlled Study.JMIR research protocols · 2022Article
- Role of Dietary Components in Modulating Hypertension.Journal of clinical & experimental cardiology · 2016Article
- Racial and Ethnic Disparities in Dietary Intake among California Children.Journal of the Academy of Nutrition and Dietetics · 2016Article
- Compendium of the Health and Wellness Coaching Literature.American journal of lifestyle medicineArticle
- Health and Wellness Coaching Improves Weight and Nutrition Behaviors.American journal of lifestyle medicineReview
- Health and Wellness Coaching and Sustained Gains: A Rapid Systematic Review.American journal of lifestyle medicineReview
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundEfficient dietary interventions for patients with hypertension in clinical settings are needed.
objectiveTo assess the separate and combined influence of a physician intervention (MD-I) and a patient intervention (PT-I) on dietary intakes of patients with hypertension.
designA nested 2×2 design, randomized controlled trial conducted over 18 months.
participantsA total of 32 physicians and 574 outpatients with hypertension.
interventionMD-I included training modules addressing the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure hypertension management guidelines and lifestyle modification. PT-I included lifestyle coaching to adopt the Dietary Approaches to Stop Hypertension (DASH) eating pattern, reduce sodium intake, manage weight, increase exercise, and moderate alcohol intake.
main outcome measuresDietary intakes were measured by the Block Food Frequency Questionnaire. Concordance with the DASH dietary pattern was estimated by a DASH score. STATISTICAL ANALYSES: The main effects of MD-I and PT-I, and their interaction, were evaluated using analysis of covariance.
resultsAfter 6 months of intervention, MD-I participants significantly increased intakes of potassium, fruits, juices, and carbohydrate; decreased intake of fat; and improved overall dietary quality as measured by the Healthy Eating Index. PT-I intervention resulted in increased intakes of carbohydrate, protein, fiber, calcium, potassium, fruits and fruit juices, vegetables, dairy and Healthy Eating Index score, and decreased intakes in fat, saturated fat, cholesterol, sodium, sweets, and added fats/oils/sweets. In addition, PT-I improved overall DASH concordance score. The change in DASH score was significantly associated with the changes in blood pressure and weight at 6 months. At 18 months, most changes reversed back toward baseline levels, including the DASH score.
conclusionsBoth MD-I and PT-I improved eating patterns at 6 months with some sustained effects at 18 months. Even though all dietary changes observed were consistent with the DASH nutrient targets or food group guidelines, only the PT-I intervention was effective in improving the overall DASH concordance score. This finding affirms the role of medical nutrition therapy in long-term intensive interventions for hypertension risk reduction and weight management and underlines the need for development of maintenance strategies. Furthermore, this study emphasizes the importance of collaborations among physicians, registered dietitians and other dietetics practitioners, and lay health advisors while assisting patients to make healthy behavior changes.
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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.