ArticleAmerican journal of preventive medicine2022
The Likely Underestimated Impact of Lifestyle Intervention: Diabetes Prevention Program Translation Examples.
Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
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.
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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.
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Who cites it
2 citing papers in PubMed.
- Cumulative BMI and incident prediabetes over 30 years of follow-up: The CARDIA study.Obesity (Silver Spring, Md.) · 2023Observational
- Understanding Type 2 Diabetes Mellitus Risk Parameters through Intermittent Fasting: A Machine Learning Approach.Nutrients · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
introductionLifestyle interventions promoting weight loss and physical activity are important elements of prevention efforts with the evaluation of program impact typically limited to weight loss. Unfortunately, diabetes/cardiovascular disease risk factors and activity are infrequently reported and inconsistent in findings when examined. This inconsistency may partially be due to a lack of consideration for ceiling effects because of broad risk profile inclusion criteria in community translation efforts. To demonstrate this, change in each individual cardiometabolic risk factor limited to those who, at baseline, had a clinically defined abnormal value for that risk factor was examined in 2 cohorts using identical community translations of the Diabetes Prevention Program lifestyle intervention.
methodsFor both studies (2010-2014, 2014-2019), adults with prediabetes and/or metabolic syndrome were recruited through community centers. Outcome measures collected at baseline and 6 months included BMI, activity, blood pressure, lipids, and fasting glucose. Data analyses examined pre-post change in each variable after 6 months of intervention and change within randomized groups at 6 months.
resultsChange results were examined for the entire cohort and separately for participants with baseline values outside the recommended range for that risk factor. Whether assessing the pre-post intervention change or change within the randomized groups at 6 months, often the risk factor-specific approach demonstrated a greater effect size for that variable and sometimes newly reached statistical significance.
conclusionsWhen examining the effectiveness of community translation efforts, consideration of the individual's baseline profile with risk factor-specific analysis is suggested to understand the full extent of the impact of the intervention.
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