Patient beliefs and behaviors about genomic risk for type 2 diabetes: Implications for prevention

Copyright © Taylor & Francis Group, LLC 2015.Type 2 diabetes is a major health burden in the United States, and population trends suggest this burden will increase. High interest in, and increased availability of, testing for genetic risk of type 2 diabetes presents a new opportunity for reducing type 2 diabetes risk for many patients; however, to date, there is little evidence that genetic testing positively affects type 2 diabetes prevention. Genetic information may not fit patients illness representations, which may reduce the chances of risk-reducing behavior changes. The present study aimed to examine illness representations in a clinical sample who are at risk for type 2 diabetes and interested in genetic testing. The authors used the Common Sense Model to analyze survey responses of 409 patients with type 2 diabetes risk factors. Patients were interested in genetic testing for type 2 diabetes risk and believed in its importance. Most patients believed that genetic factors are important to developing type 2 diabetes (67%), that diet and exercise are effective in preventing type 2 diabetes (95%), and that lifestyle changes are more effective than drugs (86%). Belief in genetic causality was not related to poorer self-reported health behaviors. These results suggest that patients interest in genetic testing for type 2 diabetes might produce a teachable moment that clinicians can use to counsel behavior change.

The impact of an educational DVD on pregnant women with gestational diabetes mellitus: a randomised controlled trial

Background The diagnosis of gestational diabetes (GDM) during pregnancy can lead to anxiety. Little research has focused on the education these women receive and how this is best delivered in a busy clinic. Aim This study evaluated the impact of an innovative patient-centred educational DVD on anxiety and glycaemic control and in newly diagnosed women with GDM. Method 150 multi-ethnic women, aged 19-44 years, from three UK hospitals were randomised to either standard care plus DVD (DVD group, n=77) or standard care alone (control group, n=73) at GDM diagnosis. Women were followed up at their next clinic visit at a mean ± SD of 2.5 ± 1.6 weeks later. Primary outcomes were anxiety (State-Trait Anxiety Inventory) and mean 1-hour postprandial capillary self-monitored blood glucose for all meals, on day prior to follow-up. Secondary outcomes included pregnancy specific stress (Pregnancy Distress Questionnaire), emotional adjustment to diabetes (Appraisal of Diabetes Scale), self-efficacy (Diabetes Empowerment Scale) and GDM knowledge (non-validated questionnaire). Other outcomes included mean fasting and 1-hour postprandial blood glucose at each meal, on day prior to follow-up. Women in the DVD group completed a feedback questionnaire on the resource. Results No significant difference between the DVD and control group were reported, for anxiety (37.7 ± 11.7 vs 36.2 ± 10.9; mean difference after adjustment for covariates (95%CI) 2.5 (-0.8, 5.9) or for mean 1-hour postprandial glucose (6.9 ± 0.9 vs 7.0 ± 1.2 mmol/L; -0.2 (-0.5, 0.2). Similarly, no significant differences in the other psychosocial variables were identified between the groups. However, the DVD group had significantly lower postprandial breakfast glucose compared to the control group (6.8 ± 1.2 vs 7.4 ± 1.9 mmol/L; -0.5 (-1.1, -<0.1; p=0.04). Using a scale of 0-10, 84% rated the DVD 7 or above for usefulness (10 being very useful), and 88% rated it 7 or above when asked if they would recommend to a friend (10 being very strongly recommend). Women described the DVD as ‘reassuring’, ‘a fantastic tool’, that ‘provided a lot of information in a quick and easy way’ and ‘helped reinforce all the information from clinic’. Discussion While no significant change was observed in anxiety or mean postprandial glucose, the DVD was rated highly by women with GDM and may be a useful resource to assist with educating newly diagnosed women. This project is supported by BRIDGES, an IDF programme supported by an educational grant from Lilly Diabetes.

Oral manifestations of diabetes mellitus in complete denture wearers

Statement of problem. The oral mucosa has been reported to show a variety of changes in subjects with diabetes mellitus.Purpose. The purpose of this study was to compare diabetic and nondiabetic subjects wearing complete dentures with regard to salivary flow, salivary buffering capacity, denture retention, and oral mucosal lesions.Material and methods. Sixty subjects, 30 with and 30 without a diagnosis of diabetes, were matched for gender, race, and age. Salivary flow, salivary buffering capacity, glycemia, blood pressure, presence of mucosal lesions, denture retention, use of medications, and behavioral factors (controlled or uncontrolled diet, alcohol consumption, and smoking) reported by the subjects, were evaluated. For the salivary buffering capacity test, 1 mL of saliva was pipetted into a test tube containing 3 mL 0.005 N of hydrochloric acid, and the pH was measured with indicator strips. Group differences were statistically analyzed using the Student t test and the Mann-Whitney test for quantitative variables and the chi-square test for qualitative variables (alpha = .05).Results. Mean (SD) salivary flow was 1.14 (0.87) mL/min in the nondiabetic subjects and 0.95 (0.61) mL/min in the diabetic subjects. Evaluation of self-reported denture retention revealed no significant difference between groups. Denture retention was observed in 66.7% (20/30) of the control group and in 50% (15/30) of the diabetic group. The prevalence of mucosal lesions was 90% (27/30) in the control group and 83.3% (25/30) in the diabetic group. Salivary buffering capacity was 5.80 (0.85) in the control group and 5.26 (0.83) in the diabetic group (P = .017).Conclusions. Within the limitations of this study, no significant differences were observed in salivary flow, denture retention, or oral lesions in diabetic and nondiabetic subjects.

Diabetes mellitus: fatores associados à prevalência em idosos, medidas e práticas de controle e uso dos serviços de saúde em São Paulo, Brasil

Este estudo analisa os fatores associados à prevalência de diabetes segundo as variáveis demográficas socioeconômicas, condição de saúde e estilo de vida, o uso dos serviços de saúde e medidas e práticas de controle entre 872 idosos residentes na cidade de São Paulo, Brasil. A prevalência de diabetes referida foi de 17,9%, valor acima do encontrado na população adulta. A maior prevalência de diabetes foi verificada entre idosos que relataram sua saúde como ruim/muito ruim, os que nunca beberam ou não bebem mais, os viúvos e entre os que se hospitalizaram pelo menos uma vez no último ano. Dentre os idosos, 69,9% procuraram o serviço rotineiramente por causa do diabetes e 96,1% foram atendidos no serviço que procuraram. Há falta de informação, conhecimento e a utilização de medidas de controle ainda é insuficiente entre os idosos. Fazem-se necessárias políticas de saúde com foco na capacitação de profissionais e na orientação familiar, e que incentivem mudanças no estilo de vida dos idosos.

Avaliação da qualidade de vida de pacientes com Diabetes Mellitus tipo 1: dados do primeiro estudo multicêntrico no Brasil

O Diabetes Mellitus tipo 1 (DM1) é a endocrinopatia mais comum da infância e adolescência e impacta negativamente na qualidade de vida (QV). O EuroQol é um instrumento que afere o estado de saúde e vem sendo utilizado na grande maioria dos estudos multicêntricos mundiais em diabetes e tem se mostrado uma ferramenta extremamente útil e confiável. O objetivo desse estudo é avaliar a QV de pacientes com DM1 do Brasil, país de proporções continentais, por meio da análise do EuroQol. Para isso, realizou-se estudo retrospectivo e transversal, no qual foram analisados questionários de pacientes com DM1, respondidos no período de dezembro de 2008 a dezembro de 2010, em 28 centros de pesquisa de 20 cidades das quatro regiões do país (sudeste, norte/nordeste, sul e centro-oeste). Foram também coletados dados sobre complicações crônicas micro e macrovasculares e perfil lipídico. A avaliação da qualidade de vida pelo EuroQol mostra que a nota média atribuída ao estado geral de saúde é nitidamente menor que a encontrada em dois outros estudos populacionais com DM1 realizados na Europa (EQ-VAS da Alemanha, Holanda e Brasil foram de 82,1 ± 14; 81 ± 15 e 72 ± 22, respectivamente). O EuroQol demonstra que a região Norte-Nordeste apresenta melhor índice na avaliação do estado geral de saúde quando comparada a região Sudeste e menor frequência de ansiedade-depressão autorreferidas, quando comparada às demais regiões do país (Norte-Nordeste = 1,53 ± 0,6, Sudeste = 1,65 ± 0,7, Sul = 1,72 ± 0,7 e Centro-Oeste = 1,67 ± 0,7; p <0,05). Adicionalmente, diversas variáveis conhecidas (idade, duração do DM, prática de atividade física, HbA1c, glicemia de jejum e presença de complicações crônicas se correlacionaram com a QV (r = -0,1, p <0,05; r = -0,1, p <0,05; r = -0,1, p <0,05; r = -0,2, p <0,05; r = -0,1, p <0,05 e r= -0,1, p <0,05, respectivamente). Esse é o primeiro estudo a avaliar a qualidade de vida de pacientes com DM1 a nível populacional no hemisfério sul. Nossos dados indicam uma pior qualidade de vida dos pacientes com DM 1 no Brasil quando comparado a dados de países europeus. Apesar de ter sido encontrado uma inferior duração do DM e menor presença de complicações microvasculares na região Norte/ Nordeste, quando comparada à outras regiões, nossos dados sugerem a existência de elementos adicionais responsáveis pela melhor QV e menor presença de ansiedade/depressão encontradas nesta região. Novos estudos são necessários para identificar esses possíveis fatores.

Prevalence of Diabetes and Diabetic Retinopathy in a Brazilian Population

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The impact of a brief foot care intervention for persons with diabetes

Purpose of the study. The purpose of this randomized controlled clinical trial was to determine if a brief intervention would improve foot self-care behaviors in adult patients with Type 2 diabetes who presented to the emergency department for non-emergent care in a predominantly Hispanic southwestern border community. ^ Methods. A pre-post-test, three-group design was used to compare the foot self-care behaviors of patients who received usual care to those who received lower extremity amputation (LEA) risk assessment and to those who received LEA risk assessment plus a brief foot self-care intervention. After being randomized into 3 groups (N = 167), baseline assessments of demographics, diabetes history, acculturation, and the Summary of Diabetes Self Care Activities (SDSCA) questionnaire and Modified Insulin Management Diabetes Self Efficacy Scale (MIMDSES) were completed in English or Spanish. At one-month, 144 (84%) participants were available for follow-up by the research assistant masked to group assignment. ^ Results. At baseline, significant differences in foot self-care behaviors and self monitoring blood glucose were noted based on ethnicity and gender. Men had significantly lower confidence in their ability to manage their diabetes overall. There was a significant difference between baseline and follow up self reported foot self-care behaviors within the intervention group (t (47) = −4.32, p < .01) and the control group (t (46) = −2.06, p < .05). There were no significant differences between groups for self-reported foot self-care behaviors. There was a significant difference in observed foot self-care behaviors between groups (F(2,135) = 2.99, p < .05). Self-efficacy scores were positively correlated with self-reported self-care behaviors. ^ Conclusions. This predominantly Hispanic population with type 2 diabetes reported performing diabetes self-care behaviors less than five days a week. There were within group changes, but no significant between group changes in reported self-care behaviors. However, at the one month follow up, there were significant differences between groups in observed foot self-care behaviors with the intervention group demonstrating the most accurate behaviors. Differences based on gender and ethnicity emphasize the need to individualize diabetes education. Priorities for culturally competent diabetes education, approaches to increasing self-efficacy and future research directions are suggested. ^

Evaluation of racial and ethnic disparities of glycemic control in the Health and Retirement Study. 2003 Diabetes Survey

Objective. To examine and evaluate racial and ethnic disparities in glycemic control among HRS respondents with diabetes aged 55-94 years. ^ Methods. The HRS Diabetes 2003 database provides data on blood-drawn glycemic control and self-reported demographics, socioeconomic status, clinical, health access and self-care characteristics. 1,141 non-Hispanic White, non-Hispanic Black, and Hispanic respondents were included in multiple logistic regression of glycemic control. ^ Results. The rate of poor control was significantly higher among Blacks (61.5%, 105/171) and Hispanics (65.3% 72/110) than among Whites (45.0% 387/860) (p < 0.01). After controlling for influential covariates and interactions, Blacks and Hispanics had a three-fold increased risk for poor control compared to Whites when duration was five years or less. ^ Conclusions. Clinical and self-perception variables, like duration, medication, and self-rated poor diabetes control affected glycemic control independent of race and ethnicity, but there remains unexplained racial and ethnic disparities for newly-diagnosed individuals. This is the first study to find an interaction between duration and race and ethnicity on glycemic control. Future research should incorporate cultural beliefs and attitudes about diabetes control that may explain the racial and ethnic disparity. ^

A formative evaluation of the American Diabetes Association's Choosing Health and Sensible Exercise childhood obesity intervention

Background. The increasing prevalence of overweight among youth in the United States, and the parallel rise in related medical comorbidities has led to a growing need for efficient weight-management interventions. Purpose. The aim of this study was to evaluate the effects of the Choosing Health and Sensible Exercise (C.H.A.S.E.) childhood obesity prevention program on Body Mass Index (BMI), physical activity and dietary behaviors. Methods. This study utilized de-identified data collected during the fall 2006 session of the C.H.A.S.E. program. A total of 65 students at Woodview Elementary School and Deepwater Elementary School participated in this intervention. The C.H.A.S.E. program is a 10-week obesity prevention program that focuses on nutrition and physical activity education. Collection of height and weight data, and a health behavior survey was conducted during the first and last week of the intervention. Paired t-tests were used to determine statistically significant differences between pre- and post-intervention measurements. One-way analysis of variance was used to adjust for potential confounders, such as gender, age, BMI category ("normal weight", "at risk overweight", or "overweight"), and self-reported weight loss goals. Data were analyzed using STATA, v. 9.2. Results. A significant decrease in mean BMI (p< 0.05) was found after the 10-week intervention. While the results were statistically significant for the group as a whole, changes in BMI were not significant when stratified by age, sex, or ethnicity. The mean overall scores for the behavior survey did not change significantly pre- and post-intervention; however, significant differences were found in the dietary intention scale, indicating that students were more likely to intend to make healthier food choices (p<0.05). No statistically significant decreases in BMI were found when stratified for baseline BMI-for-age percentiles or baseline weight loss efforts (p>0.05). Conclusion. The results of this evaluation provide information that will be useful in planning and implementing an effective childhood obesity intervention in the future. Changes in the self-reported dietary intentions and BMI show that the C.H.A.S.E. program is capable of modifying food choice selection and decreasing BMI. Results from the behavior questionnaire indicate that students in the intervention program were making changes in a positive direction. Future implementation of the C.H.A.S.E. program, as well as other childhood obesity interventions, may want to consider incorporating additional strategies to increase knowledge and other behavioral constructs associated with decreased BMI. In addition, obesity prevention programs may want to increase parental involvement and increase the dose or intensity of the intervention. ^

Assessing the relationship between obesity and type II diabetes among South Asian Indians in Houston A population based study

Objective: My study aimed at determining the association between obesity and diabetes prevalence in South Asian Indian immigrants in Houston, Texas. To also compare the prevalence odds of diabetes given obesity, using WHO-BMI criteria and recommended Asian ethnic-specific BMI criteria for obesity, as well as using WHO-standard waist circumference criteria and ethnic-specific criteria for abdominal obesity, across gender and age, in this population. ^ Methods: My study was a secondary data analysis based on a cross-sectional study carried out on adult South Asian Indians who attended a local community health fair in Houston, in 2007. They recruited 213 voluntary, eligible, South Asian Indian participants aged between 18 to 79 years. Self reported history of Diabetes was obtained and height, weight, waist and hip circumference were measured. I classified BMI based on WHO-standard and ethnic-specific criteria, according to gender and age groups of 18–35 years, 36–64 years and 65 years and over. Waist circumference was also classified based on WHO-standard NCEP criteria and currently recommended ethnic-specific IDF criteria and analysis was done stratifying by gender and age groups. ^ Results: The prevalence of diabetes in this population was 14.6%, significantly higher in older age groups (25.8%) and males (19.2%). The prevalence of DM was statistically similar in individuals who were overweight/obese compared to those not overweight/obese, however in overweight/obese individuals, there was a statistically significant difference in the prevalence of DM between WHO and ethnic-specific criteria for both BMI and waist circumference. In older adults and in males, ethnic-specific criteria identified significantly more as overweight/obese compared to WHO-standard criteria. ^ Conclusions: Ethnic-specific criteria for both BMI and waist circumference give a better estimate for obesity in this South Asian Indian population. Diabetes is highly prevalent in migrant South Asian Indians even at low BMI or waist circumference levels and significantly more in males and older age groups, hence adequate awareness should be created for early prevention and intervention.^

Evaluation of a Post Discharge Intervention on 30-Day Re-admission and Emergency Room Use in Patients with Diabetes A Pilot Program

Thesis (Master's)--University of Washington, 2016-06

Can physical activity prevent diabetes?

Most physical activity researchers are familiar with the epidemiological evidence that suggests that physical activity has an important role in the primary prevention of Type 2 diabetes. There is compelling evidence from large well-conducted prospective cohort trials to show that the risk of diabetes is reduced by up to 50% in people who are habitually active. There is also evidence from large randomised controlled trails to support the view that physical activity, as part of a lifestyle change program, can prevent Type 2 diabetes and the onset and progression of metabolic syndrome. This is the strongest evidence in support of a beneficial role for physical activity in the primary prevention of any health problem; much stronger than that for the links between smoking and lung cancer. This presentation will critically evaluate this evidence, and explore the notion that, while physical activity may postpone the development of Type 2 diabetes, it may not actually prevent the onset of problem at the population level. As the (self-reported) prevalence of Type 2 diabetes has more than doubled in the last 20 years, it is critical that we explore effective strategies for ensuring that we can ‘activate’ Australians sufficiently to prevent, rather than simply postpone, the development of this significant health problem.

Glycemic control: Risk factors, quality of life, workforce participation, and mortality among US adults with type 2 diabetes

Despite research showing the benefits of glycemic control, it remains suboptimal among adults with diabetes in the United States. Possible reasons include unaddressed risk factors as well as lack of awareness of its immediate and long term consequences. The objectives of this study were to, using cross-sectional data, (1) ascertain the association between suboptimal (Hemoglobin A1c (HbA1c) .7%), borderline (HbA1c 7-8.9%), and poor (HbA1c .9%) glycemic control and potentially new risk factors (e.g. work characteristics), and (2) assess whether aspects of poor health and well-being such as poor health related quality of life (HRQOL), unemployment, and missed-work are associated with glycemic control; and (3) using prospective data, assess the relationship between mortality risk and glycemic control in US adults with type 2 diabetes. Data from the 1988-1994 and 1999-2004 National Health and Nutrition Examination Surveys were used. HbA1c values were used to create dichotomous glycemic control indicators. Binary logistic regression models were used to assess relationships between risk factors, employment status and glycemic control. Multinomial logistic regression analyses were conducted to assess relationships between glycemic control and HRQOL variables. Zero-inflated Poisson regression models were used to assess relationships between missed work days and glycemic control. Cox-proportional hazard models were used to assess effects of glycemic control on mortality risk. Using STATA software, analyses were weighted to account for complex survey design and non-response. Multivariable models adjusted for socio-demographics, body mass index, among other variables. Results revealed that being a farm worker and working over 40 hours/week were risk factors for suboptimal glycemic control. Having greater days of poor mental was associated with suboptimal, borderline, and poor glycemic control. Having greater days of inactivity was associated with poor glycemic control while having greater days of poor physical health was associated with borderline glycemic control. There were no statistically significant relationships between glycemic control, self-reported general health, employment, and missed work. Finally, having an HbA1c value less than 6.5% was protective against mortality. The findings suggest that work-related factors are important in a person’s ability to reach optimal diabetes management levels. Poor glycemic control appears to have significant detrimental effects on HRQOL.^

Glycemic Control: Risk Factors, Quality of Life, Workforce Participation, and Mortality Among US Adults with Type 2 Diabetes

Despite research showing the benefits of glycemic control, it remains suboptimal among adults with diabetes in the United States. Possible reasons include unaddressed risk factors as well as lack of awareness of its immediate and long term consequences. The objectives of this study were to, using cross-sectional data, 1) ascertain the association between suboptimal (Hemoglobin A1c (HbA1c) ≥7%), borderline (HbA1c 7-8.9%), and poor (HbA1c ≥9%) glycemic control and potentially new risk factors (e.g. work characteristics), and 2) assess whether aspects of poor health and well-being such as poor health related quality of life (HRQOL), unemployment, and missed-work are associated with glycemic control; and 3) using prospective data, assess the relationship between mortality risk and glycemic control in US adults with type 2 diabetes. Data from the 1988-1994 and 1999-2004 National Health and Nutrition Examination Surveys were used. HbA1c values were used to create dichotomous glycemic control indicators. Binary logistic regression models were used to assess relationships between risk factors, employment status and glycemic control. Multinomial logistic regression analyses were conducted to assess relationships between glycemic control and HRQOL variables. Zero-inflated Poisson regression models were used to assess relationships between missed work days and glycemic control. Cox-proportional hazard models were used to assess effects of glycemic control on mortality risk. Using STATA software, analyses were weighted to account for complex survey design and non-response. Multivariable models adjusted for socio-demographics, body mass index, among other variables. Results revealed that being a farm worker and working over 40 hours/week were risk factors for suboptimal glycemic control. Having greater days of poor mental was associated with suboptimal, borderline, and poor glycemic control. Having greater days of inactivity was associated with poor glycemic control while having greater days of poor physical health was associated with borderline glycemic control. There were no statistically significant relationships between glycemic control, self-reported general health, employment, and missed work. Finally, having an HbA1c value less than 6.5% was protective against mortality. The findings suggest that work-related factors are important in a person’s ability to reach optimal diabetes management levels. Poor glycemic control appears to have significant detrimental effects on HRQOL.

The relationship between adipokines and the onset of type 2 diabetes in middle-aged men: The PRIME study

Aims: Epidemiological evidence suggests that adipokines may be associated with the onset of type 2 diabetes, but the evidence to date is limited and inconclusive. This study examined the association between adiponectin and leptin and the subsequent diagnosis of type 2 diabetes in a UK population based cohort of non-diabetic middle-aged men.
Methods: Baseline serum levels of leptin and adiponectin were measured in 1839 nondiabetic men aged 50–60 years who were participating in the prospective populationbased PRIME study. Over a mean follow-up of 14.7 years, new cases of type 2 diabetes were determined from self-reported clinical information with subsequent validation by general practitioners.
Results: 151 Participants developed type 2 diabetes during follow-up. In Cox regression models adjusted for age, men in the top third of the leptin distribution were at increased risk (hazard ratio (HR) 4.27, 95% CI 2.67–6.83) and men in the top third of the adiponectin
distribution at reduced risk (HR 0.24, 95% CI 0.14–0.42) relative to men in the bottom third. However, significance was lost for leptin after additional adjustment for BMI, waist to hip ratio, lifestyle factors and biological risk factors, including C-reactive protein (CRP). Further adjustment for HOMA-IR also resulted in loss of significance for adiponectin.
Conclusions: This study provides evidence that adipokines are associated with men’s future type 2 diabetes risk but not independently of other risk factors.