Filtering by
- All Subjects: Diabetes
- All Subjects: Physical Activity
- Creators: Shaibi, Gabriel
- Status: Published
Major themes emerging from the data included illness perception, support, and the process of medication adherence. Acceptance of the diabetes diagnosis was imperative for medication adherence. Stigmatization of diabetes was salient in the recruitment process and as it related to mechanisms for adherence. Furthermore, many informants were not aware of a family history of diabetes before their own diagnosis. Four gendered emerging typologies were identified, which further illuminated major themes. Moreover, an eight-step process of medication adherence model is discussed. The researcher was able to identify culturally compatible strategies that may be extended to those struggling with medication adherence. The implications section suggests a set of strategies that healthcare providers can present to people with diabetes in order to increase medication adherence.
Purpose: To assess the efficacy of Athletes for Life (AFL), a 12-week community-and-family-based behavioral intervention, for improving diet, physical activity (PA), anthropometrics, fitness, and biochemical outcomes among mostly Latino parents.
Methods: Parents with at least one child 6-11 years of age were randomized to active AFL participation (n=14) or a wait-list control (n=14) group. AFL consisted of twice weekly 90 minute sessions (45 minutes of nutrition-focused lessons and 45 minutes of PA participation) designed to promote fruit and vegetable consumption, reduction of sugar intake, and increasing habitual PA. Data were collected prior to and immediately after the 12 week intervention.
Results: Participants (37.9±7.2y) were mostly Latino (93%), Spanish speaking (68%), and women (93%). Relative to participants in the control group, AFL participants had a significant reduction in body fat (-1.1±1.2% vs. 0.2±1.2%; p=0.014), resting (-7.6±10.2 bpm vs. +2.1±6.8 bpm; p<0.01), exercise (-8.4±8.7 bpm vs. +0.4±7.3 bpm; p<0.01), and recovery heart rate (-11.9±12.8 bpm vs. -0.3±11.4 bpm; p=0.01), and one mile run time (-1.5±1.0 min vs. -0.1±0.9 min; p<0.01), and a significant increase in estimated VO2 peak (+1.9±1.9 ml/kg/min vs. 0.0±1.8 ml/kg/min; p=0.01). AFL participants also reported an increase in the number of days/week accumulating 30 minutes of MVPA (+0.8±3.2 vs. -1.5±2.3; p=0.004) and daily servings of fruits (+1.3±1.4 vs. +0.3±1.4; p<0.05) and vegetables (+1.8±1.7 vs. +0.1±1.2; p<0.05), relative to control participants. There were no significant differences between groups in changes in diet assessed by 3-day food record, accelerometer-measured PA, weight, blood pressure, visceral fat, biomarkers for cardiovascular disease or nutritional biomarkers.
Conclusions: Despite the lack of effects on diet and PA behaviors, AFL shows promising preliminary efficacy for reducing body fat and improving fitness among adult participants. Future research aimed at improving fitness among Latino parents with family-based intervention is warranted.
2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.
2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers, but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.