An intervention for multiethnic obese parents and overweight children

The purpose of this pilot study was to determine the effects of the addition of coping skills training for obese multiethnic parents whose overweight children were attending a weight management program. At 6 months, parents in the experimental group had significantly lower body mass index (BMI) and body fat percentage (BFP), and higher numbers of pedometer steps compared to the control group. Parents also demonstrated significant improvement in interpersonal relationships, behavior control, and stress management compared to the control group. Children in the experimental group demonstrated trends toward decreased BMI and BFP and increased pedometer steps

Bedtime habits in adults with and without type 2 diabetes

This study aimed to identify determinants of objectively-estimated bedtime habits and to determine if these bedtime habits differed between adults with and without type 2 diabetes. Adults with accelerometry data from the National Health and Nutrition Examination Survey 2003-2004 and 2005-2006 cohorts were classified as having no diabetes or type 2 diabetes and matched for age, gender, and BMI across the two groups. Multivariate linear regression models assessed bedtime habits (time-in-bed, early versus late bedtime periods, regularity), chronotype (mid-points), and type 2 diabetes status. While the results indicated no differences in bedtime habits between adults with and without type 2 diabetes, an interesting finding was the support for an association between objectively-estimated earlier bedtime midpoints and greater physical activity

Identifying Patients With Hypoglycemia Using Natural Language Processing: Systematic Literature Review.

BACKGROUND: Accurately identifying patients with hypoglycemia is key to preventing adverse events and mortality. Natural language processing (NLP), a form of artificial intelligence, uses computational algorithms to extract information from text data. NLP is a scalable, efficient, and quick method to extract hypoglycemia-related information when using electronic health record data sources from a large population. OBJECTIVE: The objective of this systematic review was to synthesize the literature on the application of NLP to extract hypoglycemia from electronic health record clinical notes. METHODS: Literature searches were conducted electronically in PubMed, Web of Science Core Collection, CINAHL (EBSCO), PsycINFO (Ovid), IEEE Xplore, Google Scholar, and ACL Anthology. Keywords included hypoglycemia, low blood glucose, NLP, and machine learning. Inclusion criteria included studies that applied NLP to identify hypoglycemia, reported the outcomes related to hypoglycemia, and were published in English as full papers. RESULTS: This review (n=8 studies) revealed heterogeneity of the reported results related to hypoglycemia. Of the 8 included studies, 4 (50%) reported that the prevalence rate of any level of hypoglycemia was 3.4% to 46.2%. The use of NLP to analyze clinical notes improved the capture of undocumented or missed hypoglycemic events using International Classification of Diseases, Ninth Revision (ICD-9), and International Classification of Diseases, Tenth Revision (ICD-10), and laboratory testing. The combination of NLP and ICD-9 or ICD-10 codes significantly increased the identification of hypoglycemic events compared with individual methods; for example, the prevalence rates of hypoglycemia were 12.4% for International Classification of Diseases codes, 25.1% for an NLP algorithm, and 32.2% for combined algorithms. All the reviewed studies applied rule-based NLP algorithms to identify hypoglycemia. CONCLUSIONS: The findings provided evidence that the application of NLP to analyze clinical notes improved the capture of hypoglycemic events, particularly when combined with the ICD-9 or ICD-10 codes and laboratory testing

Associations between DNA methylation age acceleration, depressive symptoms, and cardiometabolic traits in African American mothers from the InterGEN study

Background : African American women (AAW) have a high risk of both cardiometabolic (CM) illness and depressive symptoms. Depressive symptoms co-occur in individuals with CM illness at higher rates than the general population, and accelerated aging may explain this. In this secondary analysis, we examined associations between age acceleration; depressive symptoms; and CM traits (hypertension, diabetes mellitus [DM], and obesity) in a cohort of AAW. Methods : Genomic and clinical data from the InterGEN cohort (n = 227) were used. Age acceleration was based on the Horvath method of DNA methylation (DNAm) age estimation. Accordingly, DNAm age acceleration (DNAm AA) was defined as the residuals from a linear regression of DNAm age on chronological age. Spearman’s correlations, linear and logistic regression examined associations between DNAm AA, depressive symptoms, and CM traits. Results : DNAm AA did not associate with total depressive symptom scores. DNAm AA correlated with specific symptoms including selfdisgust/ self-hate (−0.13, 95% CI −0.26, −0.01); difficulty with making decisions (−0.15, 95% CI −0.28, −0.02); and worry over physical health (0.15, 95% CI 0.02, 0.28), but were not statistically significant after multiple comparison correction. DNAm AA associated with obesity (0.08, 95% CI 1.02, 1.16), hypertension (0.08, 95% CI 1.01, 1.17), and DM (0.20, 95% CI 1.09, 1.40), after adjustment for potential confounders. Conclusions : Associations between age acceleration and depressive symptoms may be highly nuanced and dependent on study design contexts. Factors other than age acceleration may explain the connection between depressive symptoms and CM traits. AAW with CM traits may be at increased risk of accelerated aging.The InterGEN study was funded by the National Institute of Nursing Research of the National Institutes of Health (R01NR013520).https://journals.sagepub.com/home/gaeam2023Psycholog

Challenges to Diabetes Self-Management in Emerging Adults With Type 1 Diabetes

PURPOSE: The purpose of this qualitative descriptive study undergirded by Meleis\u27s Transition Framework was to explore developmental, situational, and organizational challenges experienced by a diverse group of emerging adults (18-29 years old) with type 1 diabetes (T1DM). Their perspectives on creating a developmentally informed diabetes self-management (DSM) program that supports transitional care were also explored. METHODS: A purposive sample of emerging adults with T1DM was recruited from the pediatric and adult diabetes clinics of an urban academic medical center. Those who consented participated in either a single focus group or a single interview. Self-reported demographic and clinical information was also collected. RESULTS: The sample was comprised of 21 emerging adults, with an average age of 23.6 +/- 2.6 years, diabetes duration of 14.7 +/- 5.0 years, and 71% female. Four main themes emerged: (1) finding a balance between diabetes and life, (2) the desire to be in control of their diabetes, (3) the hidden burden of diabetes, and (4) the desire to have a connection with their diabetes provider. Use of insulin pumps and continuous glucose monitors and attendance at diabetes camp decreased some of the DSM challenges. Different groups of individuals had different perspectives on living with diabetes and different approaches to DSM. CONCLUSIONS: The emerging adults in this study had a strong desire to be in good glycemic control. However, all participants described having a hard time balancing DSM with other competing life priorities. They also desired personalized patient-provider interactions with their diabetes care provider in clinical follow-up services. Even though the study sample was small, important themes emerged that warrant further exploration

Improving heart failure self-care through a community-based skill-building intervention: A study protocol

Self-care is the cornerstone of heart failure (HF) management. Numerous approaches to improving HF self-care, which involves adherence to the treatment plan, routine symptom monitoring, and the response to symptoms when they occur, have been developed with little impact on HF outcomes. On the basis of HF practice recommendations that patients receive education and counseling that emphasizes self-care and targets skill building of critical target behaviors, we are conducting a clinical trial designed to improve self-care among community-dwelling older adults using an innovative group-based, skill-building approach led by a trained health educator

A Methodological Review Of Faith-Based Health Promotion Literature: Advancing The Science To Expand Delivery Of Diabetes Education To Black Americans

Non-traditional avenues, such as faith-based organizations (FBOs), must be explored to expand delivery of diabetes self-management education (DSME) to benefit Black Americans with type 2 diabetes (T2D). The purpose of this study was to methodologically review the faith-based health promotion literature relevant to Blacks with T2D. A total of 14 intervention studies were identified for inclusion in the review. These studies detailed features of methods employed to affect health outcomes that DSME similarly targets. Analysis of the faith-based studies\u27 methodological features indicated most studies used (1) collaborative research approaches, (2) pre-experimental designs, (3) similar recruitment and retention strategies, and (4) culturally sensitive, behaviorally oriented interventions with incorporation of social support to achieve positive health outcomes in Black Americans. Findings indicate FBOs may be a promising avenue for delivering DSME to Black Americans. Informed by the findings, a focused discussion on advancing the science of faith-based interventions to expand delivery of DSME to Black Americans with diabetes is provided. © 2011 Springer Science+Business Media, LLC

Cardiovascular Disease Self-Care Interventions

Background. Cardiovascular disease (CVD) is a major cause of increased morbidity and mortality globally. Clinical practice guidelines recommend that individuals with CVD are routinely instructed to engage in self-care including diet restrictions, medication adherence, and symptom monitoring. Objectives. To describe the nature of nurse-led CVD self-care interventions, identify limitations in current nurse-led CVD self-care interventions, and make recommendations for addressing them in future research. Design. Integrative review of nurse-led CVD self-care intervention studies from PubMed, MEDLINE, ISI Web of Science, and CINAHL. Primary studies (n=34) that met the inclusion criteria of nurse-led RCT or quasiexperimental CVD self-care intervention studies (years 2000 to 2012) were retained and appraised. Quality of the review was assured by having at least two reviewers screen and extract all data. Results. A variety of self-care intervention strategies were studied among the male (57%) and Caucasian (67%) dominated samples. Combined interventions were common, and quality of life was the most frequent outcome evaluated. Effectiveness of interventions was inconclusive, and in general results were not sustained over time. Conclusions. Research is needed to develop and test tailored and inclusive CVD self-care interventions. Attention to rigorous study designs and methods including consistent outcomes and measurement is essential