Examination of eating competence in a geo-diverse sample with metabolic syndrome.

Eating competence (EatC) is an intra-individual approach to eating attitudes and behaviors associated with greater well-being. EatC research has not included persons with confirmed metabolic syndrome (MetS). Therefore, EatC of persons with MetS was explored to identify unique associations and inform implementation of MetS lifestyle interventions using baseline data from a multisite, randomized trial of a 2-year lifestyle intervention with MetS. EatC, measured with the Satter Eating Competence Inventory 2.0 (ecSI 2.0™), was examined for relationships with bioclinical measures (e.g., blood pressure, lipids), medication use, BMI, waist circumference, fruit/vegetable intake, and psychosocial factors, (e.g., stress, mindfulness). Data were collected in person and video call by trained research personnel. EatC was examined as a continuous score and as a categorical variable with ecSI 2.0™ scores ≥ 32 considered eating competent. Participants (n = 618) were predominantly female (76%), White (74%), college educated (60%). Mean age was 55.5 ± 11 y. Mean ecSI 2.0™ was 29.9 ± 7.4 and 42% were eating competent. EatC was greater for males, persons who were older and food secure. Competent eaters (vs. non-eating competent) had lower waist circumference (112.7 ± 12.5 cm vs.116.8 ± 16.0 cm; P < 0.001) and BMI (35.0 ± 6.1 vs. 37.5 ± 7.3; P < 0.001). Serum triglycerides, HDL-cholesterol, fasting blood glucose, HbA1c, and blood pressure did not differ by EatC status. Compared to non-eating competent persons, competent eaters perceived less stress, were more mindful, indicated better physical function, and more habitual vegetable intake (all P < 0.001) and sensory awareness (P < 0.05). EatC in MetS paralleled the non-MetS profile. EatC was associated with a healthier psychosocial profile, waist circumference and BMI. Findings support further research to examine the mediational or moderating influence of EatC in the treatment of MetS.

Gestational Diabetes Mellitus and Metabolic Syndrome: A Review of the Associations and Recommendations.

OBJECTIVE: Gestational diabetes mellitus (GDM) and metabolic syndrome (MetS) share common characteristics and risk factors. Both conditions increase the risk of chronic diseases and, thus, may share a common pathogenesis. This review begins with a clinical vignette, followed by evidence supporting the risk of MetS after GDM among women and their offspring and the risk of having GDM among pregnant women who have MetS before pregnancy. METHODS: Research studies published between 2010 and 2023 were identified via several databases, including PubMed, the Web of Science, MEDLINE, Science Direct, ERIC, and EBSCOhost. Search terms included gestational diabetes and metabolic syndrome. Reviews, books/e-books, patents, news, trade publications, reports, dissertations/theses, conference materials, and articles in non-English languages were all excluded. RESULTS: MetS increases not only the incidence of GDM during pregnancy but also the risk of diabetes in women with a history of GDM. On the other hand, women with a history of GDM had an almost 4 times increased risk of developing MetS at minimum of 1 year after delivery, and the risk increases with longer time lapse since the index pregnancy. Prepregnancy body mass index appears to be the strongest factor predicting MetS. Children exposed to GDM in utero have at least a 2 times increased risk of MetS in later life. CONCLUSION: Timely assessment and continuing surveillance of MetS before and after pregnancy followed by GDM are recommended. Weight management and nutrition counseling are of importance to reduce the risk of GDM and MetS among pregnant women.

A culturally and linguistically adapted text-message Diabetes Prevention Program for Latinos: Feasibility, acceptability, and preliminary effectiveness.

Despite the general positive outcomes of the Diabetes Prevention Program (DPP), the program's reach, adherence, and effectiveness among Latinos are still suboptimal. Text-message DPP can potentially overcome barriers and improve DPP outcomes for this group. We aimed to assess the feasibility, acceptability, and preliminarily effectiveness of a culturally and linguistically adapted text-message DPP for Latinos. We enrolled 26 eligible Spanish-speaking Latino adults at risk of developing type 2 diabetes (A1c = 5.7%-6.4%, body mass index ≥25) in a 6-month culturally and linguistically adapted text-message DPP. Participants received (i) two to three daily automated text-messages about healthy eating, physical activity, problem-solving skills, lifestyle change motivation, and logistics, (ii) on-demand keyword-driven messages, and (iii) on-demand chat messages with a DPP coach. Outcomes included feasibility (e.g. adherence), acceptability (e.g. satisfaction), and preliminary effectiveness (e.g. weight loss). Twenty-four participants completed the program and follow-up assessments. Participants' mean body weight changed from 191.2 to 186.7 pounds (P = .004); 45.8% of participants lost ≥3%, and 29.2% lost ≥5% of body weight. Body mass index and waist circumference were also reduced [0.9 kg/m2 (P = .003) and 1.1 cm (P = .03), pre-post]. Self-reported physical activity frequency was increased (P = .003). No statistically significant changes in diet quality were found. Most participants were satisfied with the program and perceived it to help prevent diabetes. Our pilot study of an innovative text-message DPP for Latinos demonstrated the program was acceptable, feasible, and potentially effective. Using text-message for DPP can reduce barriers to in-person participation by increasing the program's reach without compromising fidelity and effectiveness.

The Diabetes Prevention Program (DPP) is an in-person program that helps people to reduce their risk of having diabetes by supporting them to improve their lifestyles. However, the program is not working well for Latinos. It is possible that offering the program using text-messages for Latinos can support them in improving their lifestyles so they can reduce their chances of getting diabetes. We developed a text-message DPP for Latinos who speak Spanish to test if the program would work for them. A total of 26 Latinos received 2 to 3 daily text-messages about healthy eating, physical activity, and motivations to change lifestyles, for a period of 6 months. Participants also had the chance to send messages to coaches to get individualized responses. By the end of the 6 months, 24 Latinos completed the program. Participants reduced an average of 5.5 pounds in body weight. We also saw reductions in participants' waist circumferences. In addition, participants started to do more physical activity. Most participants were satisfied with the program and perceived it helped them prevent diabetes. In conclusion, we believe that our program worked well and was successful in helping Latinos to change their lifestyles to prevent diabetes.

Growth Differentiation Factor 15 (GDF-15), a New Biomarker in Heart Failure Management.

The emergence of biomarkers across medicine's subspecialties continues to evolve. In essence, a biomarker is a biological observation that clearly substitutes a clinical endpoint or intermediate outcome not only are more difficult to observe but also, biomarkers are easier, less expensive and could be measured over shorter periods. In general, biomarkers are versatile and not only used for disease screening and diagnosis but, most importantly, for disease characterization, monitoring, and determination of prognosis as well as individualized therapeutic responses. Obviously, heart failure (HF) is no exception to the use of biomarkers. Currently, natriuretic peptides are the most used biomarkers for both diagnosis and prognostication, while their role in the monitoring of treatment is still debatable. Although several other new biomarkers are currently under investigation regarding diagnosis and determination of prognosis, none of them are specific for HF, and none are recommended for routine clinical use at present. However, among these emerging biomarkers, we would like to highlight the potential for growth differentiation factor (GDF)-15 as a plausible new biomarker that could be helpful in providing prognostic information regarding HF morbidity and mortality.

Dysregulation of Gene Expression of Key Signaling Mediators in PBMCs from People with Type 2 Diabetes Mellitus.

Diabetes is currently the fifth leading cause of death by disease in the USA. The underlying mechanisms for type 2 Diabetes Mellitus (DM2) and the enhanced susceptibility of such patients to inflammatory disorders and infections remain to be fully defined. We have recently shown that peripheral blood mononuclear cells (PBMCs) from non-diabetic people upregulate expression of inflammatory genes in response to proteasome modulators, such as bacterial lipopolysaccharide (LPS) and soybean lectin (LEC); in contrast, resveratrol (RES) downregulates this response. We hypothesized that LPS and LEC will also elicit a similar upregulation of gene expression of key signaling mediators in (PBMCs) from people with type 2 diabetes (PwD2, with chronic inflammation) ex vivo. Unexpectedly, using next generation sequencing (NGS), we show for the first time, that PBMCs from PwD2 failed to elicit a robust LPS- and LEC-induced gene expression of proteasome subunit LMP7 (PSMB8) and mediators of T cell signaling that were observed in non-diabetic controls. These repressed genes included: PSMB8, PSMB9, interferon-γ, interferon-λ, signal-transducer-and-activator-of-transcription-1 (STAT1), human leukocyte antigen (HLA DQB1, HLA DQA1) molecules, interleukin 12A, tumor necrosis factor-α, transporter associated with antigen processing 1 (TAP1), and several others, which showed a markedly weak upregulation with toxins in PBMCs from PwD2, as compared to those from non-diabetics. Resveratrol (proteasome inhibitor) further downregulated the gene expression of these inflammatory mediators in PBMCs from PwD2. These results might explain why PwD2 may be susceptible to infectious disease. LPS and toxins may be leading to inflammation, insulin resistance, and thus, metabolic changes in the host cells.

Prevalence and Risk Factors of Major Depression in Patients with Diabetic Retinopathy in a Nationally Representative Survey.

PURPOSE: Evaluate the prevalence and risk factors of depression in diabetic retinopathy (DR). Compare subjective and objective measures of visual function predictivity of depression. METHODS: National Health and Nutrition Examination Survey 2005-2008 participants aged ≥40 who underwent fundus photography, Patient Health Questionnaire (PHQ)-9, and Visual Function Questionnaire (VFQ-25) were included in the study. Multivariable logistic regression was used to evaluate whether DR was a significant risk factor for depression and to evaluate the risk factors for depression in those with DR. RESULTS: A total of 5704 participants, 47% male, and mean age 56.5 years were included in this study. Persons with moderate, severe non-proliferative diabetic retinopathy (NPDR), or proliferative retinopathy (PDR) had higher prevalence of depression than participants with mild retinopathy or no retinopathy (14.3%, 6.9%, 7.0%). Moderate-to-severe NPDR or PDR (OR: 2.36, p = .04) was associated with depression. Among persons with DR, best-corrected visual acuity and HbA1c were not associated with depression. However, self-reported measures of vision were associated with depression: some of the time spent worrying about eyesight (OR: 4.59, p = .010), vision limit activities some of the time (OR: 8.52, p < .001), vision limits activities most/all of the time (OR: 6.99, p < .001). CONCLUSIONS: A significant proportion of patients with DR in the NHANES population had co-morbid major depression. Best corrected visual acuity was not associated with depression in those with DR, while subjective, self-reported measures were associated with depression, suggesting subjective measures are a better determinant of poor mood and low functional status.

Food and Nutrition Security in Clinical Settings.

Food insecurity affects fourteen million American households. Due to the impact on health outcomes and costs of care, food insecurity is one of the leading health and nutrition issues in the U.S. In this article, we provide an overview of food and nutrition insecurity and how it is measured, followed by health consequences of food insecurity, and then discuss ways that physicians and health professionals can help address food and nutrition security in clinical setting.

Childhood Obesity in the State of Missouri: A Review for Providers to Counsel and Treat Patients.

Childhood obesity is a common disease both nationally and in the state of Missouri. Obesity in childhood is often under-recognized and is difficult to treat. Screening, accurate diagnosis, and counseling is imperative to proper management. Common barriers to treatment include a lack of accurate identification and a lack of awareness of needed and available treatments of this disease in the pediatric setting. This review article highlights behavioral measures as well as pharmacologic and surgical therapies for obesity in children. This review is intended as guidance for providers to properly counsel and treat patients with this disease.

High prevalence of comorbid autoimmune diseases in adults with type 1 diabetes from the HealthFacts database.

BACKGROUND: Patients with type 1 diabetes (T1D) are at risk for other autoimmune diseases (ie, polyautoimmunity). The prevalence and risk factors of this phenomenon have been underreported in adults and ethnic minorities, and data are lacking regarding non-endocrine autoimmune diseases. METHODS: Study population data were gathered from HealthFacts, a deidentified patient database compiled from electronic medical records systems in the US. Patients with an International Classification of Diseases diagnosis code specifying T1D were included in the study, whereas those with a diagnosis of type 2 diabetes were excluded. RESULTS: The cross-sectional study cohort comprised 158 865 adults with T1D (mean [±SD] age 51.4 ± 18.9 years, 52.5% female). The most common autoimmune diseases were thyroid disease (20.1%), systemic rheumatic diseases (3.4%), rheumatoid arthritis specifically (2.0%), and gastrointestinal autoimmune diseases (1.4%). Most of the autoimmune diseases were more common in women (eg hypothyroidism, hyperthyroidism, celiac disease, rheumatoid arthritis, lupus, and Sjögren syndrome). Caucasians were more likely than other ethnicities to have an additional autoimmune disease. The prevalence of autoimmune diseases increased with increasing age, significantly in women, such that 38.5% of women over 80 years of age had an additional autoimmune disease, compared with 17.9% of women aged ≤29 years. CONCLUSIONS: Additional autoimmunity represents a significant comorbidity in patients with T1D. Autoimmune diseases are more common in Caucasians and in women, and increase with age. Clinicians treating patients with T1D should be aware of the risk factors for additional autoimmune diseases.

Whole genome distribution and ethnic differentiation of copy number variation in Caucasian and Asian populations.

Although copy number variation (CNV) has recently received much attention as a form of structure variation within the human genome, knowledge is still inadequate on fundamental CNV characteristics such as occurrence rate, genomic distribution and ethnic differentiation. In the present study, we used the Affymetrix GeneChip(R) Mapping 500K Array to discover and characterize CNVs in the human genome and to study ethnic differences of CNVs between Caucasians and Asians. Three thousand and nineteen CNVs, including 2381 CNVs in autosomes and 638 CNVs in X chromosome, from 985 Caucasian and 692 Asian individuals were identified, with a mean length of 296 kb. Among these CNVs, 190 had frequencies greater than 1% in at least one ethnic group, and 109 showed significant ethnic differences in frequencies (p<0.01). After merging overlapping CNVs, 1135 copy number variation regions (CNVRs), covering approximately 439 Mb (14.3%) of the human genome, were obtained. Our findings of ethnic differentiation of CNVs, along with the newly constructed CNV genomic map, extend our knowledge on the structural variation in the human genome and may furnish a basis for understanding the genomic differentiation of complex traits across ethnic groups.