Empowering Native Adolescents: Responsibility for Their Health Behaviors

2021 ◽  
Vol 45 (1) ◽  
pp. 3-16
Author(s):  
Rachel A. Chambers ◽  
Dane Hautala ◽  
Anne Kenney ◽  
Summer Rosenstock ◽  
Marissa Begay ◽  
...  
Keyword(s):  
Native American ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Latent Class ◽  
Diabetes Prevention Program ◽  
Transition Analysis ◽  
Home Based ◽  
The Impact ◽  
Diabetes And Obesity

Objectives: In this study, we assess the impact of a home-based diabetes prevention program, Together on Diabetes (TOD), on adolescent responsibility-taking for tasks related to diabetes risk. Methods: Participants were Native American youth ages 10-19 with or at risk of type 2 diabetes who participated in a 12-session, 6-month diabetes prevention program with an adult caretaker. Assessments completed at baseline, 6-month, and 12-month follow-up include demographics and the Diabetes and Obesity Task Sharing (DOTS) Questionnaire. We used latent class analysis (LCA) at baseline to examine heterogeneity in DOTS responses. We identified 3 classes (adolescent, shared, caretaker). We used latent transition analysis to examine stability and change in latent status at baseline, 6- and 12-month follow-up. Results: At baseline, the mean age of participants was 13.6 years and 55.9% were boys. From baseline to 6-month follow-up, the adolescent class was most stable, whereas the shared and caretaker classes were less stable. For participants who transition from the adolescent class, most transition to shared class compared to caretaker class. Conclusions: TOD helps to empower Native American adolescents to take responsibility for their health and engage with their caregivers in these decisions.

scholarly journals The Impact of a Yearlong Diabetes Prevention Program-Based Lifestyle Intervention on Cardiovascular Health Metrics

2021 ◽  
Vol 12 ◽  
pp. 215013272110298
Author(s):  
Susan M. Devaraj ◽  
Bonny Rockette-Wagner ◽  
Rachel G. Miller ◽  
Vincent C. Arena ◽  
Jenna M. Napoleone ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Lifestyle Intervention ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Cardiovascular Health ◽  
Diabetes Prevention Program ◽  
Behavioral Risk ◽  
Community Based ◽  
The Impact

Introduction The American Heart Association created “Life’s Simple Seven” metrics to estimate progress toward improving US cardiovascular health in a standardized manner. Given the widespread use of federally funded Diabetes Prevention Program (DPP)-based lifestyle interventions such as the Group Lifestyle Balance (DPP-GLB), evaluation of change in health metrics within such a program is of national interest. This study examined change in cardiovascular health metric scores during the course of a yearlong DPP-GLB intervention. Methods Data were combined from 2 similar randomized trials offering a community based DPP-GLB lifestyle intervention to overweight/obese individuals with prediabetes and/or metabolic syndrome. Pre/post lifestyle intervention participation changes in 5 of the 7 cardiovascular health metrics were examined at 6 and 12 months (BMI, blood pressure, total cholesterol, fasting plasma glucose, physical activity). Smoking was rare and diet was not measured. Results Among 305 participants with complete data (81.8% of 373 eligible adults), significant improvements were demonstrated in all 5 risk factors measured continuously at 6 and 12 months. There were significant positive shifts in the “ideal” and “total” metric scores at both time points. Also noted were beneficial shifts in the proportion of participants across categories for BMI, activity, and blood pressure. Conclusion AHA-metrics could have clinical utility in estimating an individual’s cardiovascular health status and in capturing improvement in cardiometabolic/behavioral risk factors resulting from participation in a community-based translation of the DPP lifestyle intervention.

Abstract P121: Comparative Effectiveness Study of the Diabetes Prevention Program in Families: Preliminary Results

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Jennifer Wessel ◽  
Erin O'Kelly-Phillips ◽  
Kelly Palmer ◽  
Chandan Saha ◽  
Tamara Hannon ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Intervention Group ◽  
Diabetes Prevention Program ◽  
Comparative Effectiveness Study ◽  
Develop Type ◽  
History Of ◽  
Family Based

The prevalence of gestational diabetes (GDM) is increasing substantially and currently affects up to 14% of pregnancies. As many as 70% of women with GDM will develop type 2 diabetes (T2D) in the next 10 years. Moreover as many as 40% of children exposed to in-utero diabetes will develop obesity and T2D. The Diabetes Prevention Program (DPP) is an evidence-based lifestyle intervention that has been shown to lower T2D risk by 58% in high-risk adults. Family based lifestyle interventions that target either children, parents or both have reported mixed results. We modified the DPP curriculum to use with families (DPPF) and recruited mothers with a history of GDM and their children 8-15 years old. We randomized n=130 families to test which method of delivering the DPPF (mothers only (M) or mothers and their children (M+C)) is more effective at lowering families T2D risk. Baseline characteristics of women were similar among each intervention group (n=65 M and n=65 M+C, respectively): age (38±8 vs 39±11, P=0.5), ethnicity (Black 55% vs 55%, White 20% vs 17%, Latino 20% vs 27%, other 5% vs 2%, P=0.6), body mass index (BMI, 37±8 vs 38±7, P=0.24), systolic blood pressure (SBP, 121±11 vs 122±13, P=0.8), diastolic blood pressure (DBP, 103±26 vs 105±21, P=0.6), HbA1c (5.6±0.4 vs 5.7±0.3, p=0.2). The majority of women self-reported low levels of physical activity (PA): moderate PA (2 days or less per week, 42% vs 26%, P=0.06) or vigorous PA (2 days or less per week, 38% vs 25%, P=0.1), and high levels of sedentary activities (3 or more hours per day, 49% vs 58%, P=0.2). For diet related obesogenic behaviors women self-reported high levels of eating meals while watching TV (3 days or more per week, 58% vs 74%, P=.06) and eating at restaurants (3 days or more per week, 28% vs 41%, P=0.1). Follow-up is ongoing and currently n=32 families have completed the 3-month follow-up. Preliminary analyses of mothers show decreases in HbA1c (-.01±.3 vs -.1±.2), SBP (-9.7±30 vs -3.1±8), DBP (-8±19 vs -1±9) but not BMI (0.07±1.6 vs 0.04±1.2); however results were not significantly different by intervention group.

Abstract P438: The Impact of a Yearlong Diabetes Prevention Program-based Lifestyle Intervention on Cardiovascular Health Metrics

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Susan Devaraj ◽  
Bonny Rockette-Wagner ◽  
Vincent Arena ◽  
Rachel G Miller ◽  
Jenna Napoleone ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Lifestyle Intervention ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Fasting Blood Glucose ◽  
Diabetes Prevention Program ◽  
Rank Test ◽  
Cvd Risk ◽  
The Impact

Introduction: The AHA created “Life’s Simple Seven” metrics to measure progress toward the goal of improving the cardiovascular (CV) health of all Americans, classifying each metric as “ideal”, “intermediate,” or “poor”. Few studies have examined the impact of behavioral lifestyle interventions on CV health metrics. We evaluated changes in CV health metrics during the course of a CDC recognized Diabetes Prevention Program-based lifestyle intervention known as Group Lifestyle Balance (DPP-GLB). Hypothesis: DPP-GLB will be associated with improvements in CV health metrics after 6 months of intervention and maintenance of these improvements at 12 months post-baseline. Methods: We used combined data from two similar intervention trials (occurring 6 years apart) offering a 12 month DPP-GLB program in the community setting to overweight/obese individuals with prediabetes and/or metabolic syndrome. Changes in individual CV health metrics (BMI, blood pressure, total cholesterol, fasting blood glucose, physical activity; measures of smoking and diet were not available) and total metric score (sum of metric profile where ideal=2, intermediate=1 and poor=0 for each metric, possible “total “range of 0-10) were considered after 6 and 12 months of intervention. Results: Among 222 participants (76%) with complete data for all 5 metrics at intervention baseline, 6 and 12 month follow up, there was a significant beneficial shift from baseline to 6 and 12 months in the proportion of participants within CV health metric categories for BMI, physical activity and blood pressure (Figure 1). Total metric score also improved significantly (p<0.01, signed-rank test) at 6 [median (IQR) change: +1.0 (0-1.0)] and 12 months [median (IQR) change: 0.0 (0-1.0)]. Significant improvement was also seen in the median number of ideal metrics at 6 and 12 months (p<0.01 for both). Conclusions: The DPP-GLB intervention was successful in improving CV health metrics at both 6 and 12 months, demonstrating the potential of this program to decrease CVD risk.

Evaluation of a mathematical model of diabetes progression against observations in the Diabetes Prevention Program

2012 ◽  
Vol 303 (2) ◽  
pp. E200-E212 ◽  
Author(s):  
Thomas Hardy ◽  
Eyas Abu-Raddad ◽  
Niels Porksen ◽  
Andrea De Gaetano
Keyword(s):  
Mathematical Model ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Diabetes Prevention Program ◽  
Diabetes Incidence ◽  
Cell Protection ◽  
Data Set ◽  
Diabetes Progression ◽  
The Impact

The seminal publication of the Diabetes Prevention Program (DPP) results in 2002 has provided insight into the impact of major therapies on the development of diabetes over a time span of a few years. In the present work, the publicly available DPP data set is used to calibrate and evaluate a recently developed mechanistic mathematical model for the long-term development of diabetes to assess the model's ability to predict the natural history of disease progression and the effectiveness of preventive interventions. A general population is generated from which virtual subject samples corresponding to the DPP enrollment criteria are selected. The model is able to reproduce with good fidelity the observed time courses of both diabetes incidence and average glycemia, under realistic hypotheses on evolution of disease and efficacy of the studied therapies, for all treatment arms. Model-based simulations of the long-term evolution of the disease are consistent with the transient benefits observed with conventional therapies and with promising effects of radical improvement of insulin sensitivity (as by metabolic surgery) or of β-cell protection. The mechanistic diabetes progression model provides a credible tool by which long-term implications of antidiabetic interventions can be evaluated.

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