Association between Screen Time and Sociodemographic Factors, Physical Activity, and BMI among Children in Six European Countries (Feel4Diabetes): A Cross-Sectional Study.

Screen time among children in most European countries is notably high and is influenced by various sociodemographic and other factors. Our study aimed to explore the associations between parents' sociodemographic characteristics, socioeconomic status, body mass index (BMI), physical activity, risk status for type 2 diabetes, and their children's BMI, physical activity, and screen time. The data were sourced from the 2016 Feel4Diabetes study, involving 12,280 parents and 12,211 children aged 6-9 years (average age 8.21 years) in a cross-sectional study design. We used a logistic regression model to identify potential factors associated with children's screen time. The results showed that mothers with tertiary education (OR = 0.64; 95%CI = 0.49-0.82; p < 0.001), the middle age group (45-54 years) (OR = 0.81 95%CI = 0.66-0.98; p = 0.033), and families with higher incomes (middle-OR = 0.85; 95%CI = 0.75-0.97; p = 0.014; high-OR = 0.8; 95%CI = 0.69-0.93; p = 0.003) were associated with a decreased chance of children spending more than 2 h/day in front of the screen. In contrast, maternal overweight/obesity (OR = 1.15; 95%CI = 1.03-1.29; p = 0.013) and lower physical activity in children were linked to an increased likelihood of more than 2 h of screen time per day. Our findings suggest that targeted interventions should be developed to mitigate excessive screen time, particularly focusing on low-income families and mothers with low educational levels.

Associations between household food environment and daily intake of regular and diet soft drinks per BMI status of European children: Feel4Diabetes Study.

The objective of this study was to investigate how the availability of food in the household environment is associated with a daily intake of regular and diet soft drinks in European children, considering BMI status. This cross-sectional study utilised baseline data from 12 211 schoolchildren participating in the Feel4Diabetes European lifestyle modification intervention. Sociodemographics, soft drink intake and household food availability data were collected using parent-completed questionnaires. Anthropometry was recorded, and children were classified into BMI categories according to the International Obesity Task Force cut-offs. In the multivariate logistic regression analysis controlled for children's sex, mother's BMI, and educational level, frequent household availability of fruit juice (sugar added), regular soft drinks and salty snacks compared to less frequent were positively associated with daily regular soft drink intake in children, regardless of BMI group (ORs range 1.59-6.69). Conversely, frequent availability of fruit juice (no added sugar) was inversely related to regular soft drink intake in both BMI groups, as was the availability of fresh fruit in the overweight/obesity group, and the availability of diet soft drinks in the underweight/normal-weight (ORs range 0.31-0.54). In conclusion, habitual household availability of selected energy-dense foods/beverages was positively associated with a daily intake of regular soft drinks in European children, regardless of BMI status. Contrastingly, household availability of fresh fruit, fruit juice (no added sugar) and diet soft drinks were inversely associated with regular soft drink intake. Programmes focusing on reducing children's soft drink intake should consider reducing the availability of sugar-added beverages in the household food environment and encouraging water consumption, as a practical, healthier alternative suggestion.

Role of parenting practices and digital media on beverage intake in European schoolchildren of different weight status. Feel4Diabetes-study.

OBJECTIVES: Halting the rise in childhood obesity is an ongoing challenge in Europe. Sugar-sweetened beverage (SSB) and artificially sweetened beverage (ASB) consumption has become common practice at home and during family meals. The objective of this study was to investigate associations of parenting practices and home digital media availability with beverage intake in European schoolchildren of different weight groups. METHODS: Cross-sectional data were derived from six countries taking part in the multicentered Feel4Diabetes-study. Anthropometric data were measured for 12 030 schoolchildren (n = 6097 girls; median age = 8.1 y). Details on sociodemographic characteristics, beverage intake, food parenting practices, and home availability of digital media were collated from questionnaires. The outcomes, daily SSB and ASB intakes, were included as dependent variables in multivariable regression models that provided odds ratios reflecting their association with parenting practices and digital media (exposures), after stratifying for children's weight status (underweight or normal versus overweight or obese). RESULTS: After controlling for children's sex, region, maternal body mass index, and education, the multivariate model found that in both body mass index groups, permissive parenting practices, such as rewarding and allowing consumption of unhealthy foods "very often or often," as compared with "rarely or never," were associated with a high daily intake of SSBs and ASBs in children, while parents "watching television together with their child," rewarding with screen time, and availability of television in children's rooms increased the likelihood of both beverages in the underweight or normal-weight group. CONCLUSIONS: Modification of permissive parenting practices and removal of television from children's rooms could effectively reduce SSB intake and curb the ongoing threat of child obesity in Europe.

The Relationship Between Dietary Patterns and Glycemic Variability in People with Impaired Glucose Tolerance.

BACKGROUND: Diurnal glucose fluctuations are increased in prediabetes and might be affected by specific dietary patterns. OBJECTIVES: The present study assessed the relationship between glycemic variability (GV) and dietary regimen in people with normal glucose tolerance (NGT) and impaired glucose tolerance (IGT). METHODS: Forty-one NGT (mean age: 45.0 ± 9.0 y, mean BMI: 32.0 ± 7.0 kg/m2) and 53 IGT (mean age: 48.4 ± 11.2 y, mean BMI: 31.3 ± 5.9 kg/m2) subjects were enrolled in this cross-sectional study. The FreeStyleLibre Pro sensor was used for 14 d, and several parameters of GV were calculated. The participants were provided with a diet diary to record all meals. ANOVA analysis, Pearson correlation, and stepwise forward regression were performed. RESULTS: Despite no difference in diet patterns between the 2 groups, GV parameters were higher in IGT than in NGT. GV worsened with an increase in overall daily carbohydrate and refined grain consumption and improved with the increase in whole grain intake in IGT. GV parameters were positively related [r = 0.14-0.53; all P < 0.02 for SD, continuous overall net glycemic action 1 (CONGA1), J-index, lability index (LI), glycemic risk assessment diabetes equation, M-value, and mean absolute glucose (MAG)], and low blood glucose index (LBGI) inversely (r = -0.37, P = 0.006) related to the total percentage of carbohydrate, but not to the distribution of carbohydrate between the main meals in the IGT group. A negative relationship existed between total protein consumption and GV indices (r = -0.27 to -0.52; P < 0.05 for SD, CONGA1, J-index, LI, M-value, and MAG). The total EI was related to GV parameters (r = 0.27-0.32; P < 0.05 for CONGA1, J-index, LI, and M-value; and r = -0.30, P = 0.028 for LBGI). CONCLUSIONS: The primary outcome results showed that insulin sensitivity, calories, and carbohydrate content are predictors of GV in individuals with IGT. Overall, the secondary analyses suggested that carbohydrate and daily consumption of refined grains might be associated with higher GV, whereas whole grains and daily protein intake were related to lower GV in people with IGT.

Comparative Evaluation of the Diagnostic Value of Procalcitonin and hsCRP for the Presence of Mild-to-Moderate Diabetic Foot Infections.

The aim of this study is to compare the efficacy of procalcitonin (PCT) and high-sensitive C-reactive protein (hsCRP) as diagnostic biomarkers in patients with diabetes and mild-to-moderate diabetic foot infections. A total of 119 patients (102 with type 2 diabetes and 17 with type 1 diabetes), of mean age 60.29 ± 10.05 years, divided into 3 groups-diabetic foot ulcer (DFU) with active infection (IDFU group, n = 41), DFU without clinical signs of infection (non-IDFU group, n = 35), and a control group with diabetes without DFU (n = 43). Infection severity was graded according to the International Working Group on the Diabetic Foot guideline-non-IDFU group as Grade 1, IDFU group as Grade 2 (n = 22), and Grade 3 (n = 19). Serum hsCRP was assessed by the immunoturbidimetric method and PCT by the enzyme chemiluminescence immunoassay (ECLIA) method. Levels of white blood cells (WBC) were assessed using the Medonic hematology analyzer and erythrocyte sedimentation rate (ESR) by the Westergren method. Serum hsCRP, WBC count, and ESR were significantly higher in the IDFU group as compared to non-IDFU and control groups, whereas PCT levels did not differ between the groups. hsCRP presented with higher sensitivity (80%), specificity (79%), area under the curve (AUC) 0.856, in comparison to PCT (sensitivity 63%, specificity 62%, AUC 0.617) for the presence of IDFU, as well as in the Grade 3 subgroup (84% sensitivity and specificity, AUC 0.911). The combined model of both markers did not present with better accuracy than using hsCRP alone. In conclusion, hsCRP appears to be a better diagnostic biomarker than PCT in the diagnosis of moderate foot ulcer infection. Both markers fail to distinguish mild infection.

The Feel4Diabetes intervention: effectiveness on 24-hour physical behaviour composition in families at risk for diabetes development.

The Feel4Diabetes project conducted a 2-year intervention aiming to encourage healthy behaviours in families in six European countries. Within this paper, the intervention effect was evaluated after the first intervention year on 24-hour physical behaviour composition in Belgian families at risk for type 2 diabetes. Parents' and children's levels of physical activity (PA) and sedentary behaviour (SB) were objectively measured and sleep duration was self-reported. Valid data were obtained in 82 children (mean age: 8.2 ± 0.84; 50.0% boys) and 72 parents (mean age: 40.1 ± 5.5; 27.8% fathers). Data were analysed using a compositional data approach, and mixed models were used to take clustering into account. Results showed that for children, the mean baseline composition of the 24-hour day in sleep, SB, light and moderate-to-vigorous PA for the intervention group was (11 hours 18 minutes; 6 hours 33 minutes; 5 hours 02 minutes, 1 hour 08 minutes) and for the control group (11 hours 18 minutes; 6 hours 35 minutes; 5 hours 04 minutes; 1 hour 06 minutes), respectively. For parents, the mean baseline composition was for the intervention group (8 hours 12 minutes; 9 hours 36 minutes; 5 hours 43 minutes; 27 minutes) and for the control group (8 hours 00 minute; 9 hours 00 minute; 6 hours 27 minutes; 33 minutes). No significant intervention effects were found on 24-hour physical behaviour composition of either parents or children (p = 0.19 and p = 0.21, respectively). A relatively small study population and a poor attendance rate among parents could maybe explain the lack of effectiveness. More effective strategies are needed to retain vulnerable families in interventions. Furthermore, future approaches to improve the 24-hour physical behaviour composition should maybe focus more specifically on PA, SB and sleep, and involve teachers, children and parents in the design of the intervention. Trial registration: NCT02393872 in ClinicalTrials.gov.

How do the home food environment, parenting practices, health beliefs, and screen time affect the weight status of European children? The Feel4Diabetes Study.

BACKGROUND: Childhood obesity remains one of the most significant challenges in public health globally. OBJECTIVE: The aim of this study was to assess the association between home food availability, parenting practices, health beliefs, screen time, and childhood overweight/obesity. METHODS: This was a cross-sectional analysis of 12 041 parent-child dyads from six European countries. Details on the home food environment, parenting practices, health beliefs, and digital devices were collected by questionnaires. RESULTS: Permissive parenting or rewarding children with screen time at a frequency of rarely/never and parents disagreeing with the statement "I believe that people have little power to prevent disease" were negatively associated with childhood overweight/obesity; whereas being "physically active with my child" rarely/never was positively associated. Regarding the home environment, the availability of fruit rarely/never was positively associated with childhood overweight/obesity, whereas the absence of digital devices in the child's room was negatively associated. CONCLUSION: Findings from the present study suggested that future school- and community-based initiatives in Europe that aim to prevent childhood obesity should also target the home environment, parenting beliefs, and practices. Programs designed to educate, facilitate, and support parents to adopt a healthy and active lifestyle with their children would empower parents to be agents of good role models and are probably the most efficient ways forward to tackle the childhood obesity epidemic. Future longitudinal intervention studies are needed to confirm the long-term efficacy of positive parenting in reducing childhood overweight/obesity.

Self-reported lifestyle behaviours in families with an increased risk for type 2 diabetes across six European countries: a cross-sectional analysis from the Feel4Diabetes-study.

BACKGROUND: A healthy lifestyle decreases the risk of developing type 2 diabetes mellitus. The current cross-sectional study aimed to describe self-reported lifestyle behaviours and compare them to current health guidelines in European Feel4Diabetes-families at risk for developing type 2 diabetes across six countries (Belgium, Finland, Spain, Greece, Hungary and Bulgaria). METHODS: Parents and their children were recruited through primary schools located in low socio-economic status areas. Parents filled out the FINDRISC-questionnaire (eight items questioning age, Body Mass Index, waist circumference, PA, daily consumption of fruit, berries or vegetables, history of antihypertensive drug treatment, history of high blood glucose and family history of diabetes), which was used for the risk assessment of the family. Sociodemographic factors and several lifestyle behaviours (physical activity, sedentary behaviour, water consumption, fruit and vegetable consumption, soft drink consumption, sweets consumption, snack consumption, breakfast consumption) of both adults and children were assessed by parental questionnaires. Multilevel regression analyses were conducted to investigate families' lifestyle behaviours, to compare these levels to health guidelines and to assess potential differences between the countries. Analyses were controlled for age, sex and socio-economic status. RESULTS: Most Feel4Diabetes-families at risk (parents and their children) did not comply with the guidelines regarding healthy behaviours, set by the WHO, European or national authorities. Less than half of parents and children complied with the physical activity guidelines, less than 15% of them complied with the fruit and vegetable guideline, and only 40% of the children met the recommendations of five glasses of water per day. Clear differences in lifestyle behaviours in Feel4Diabetes-families at risk exist between the countries. CONCLUSIONS: Countries are highly recommended to invest in policy initiatives to counter unhealthy lifestyle behaviours in families at risk for type 2 diabetes development, taking into account country-specific needs. For future research it is of great importance to focus on families at risk in order to counter the development of type 2 diabetes and reduce health inequity.

Can food parenting practices explain the association between parental education and children's food intake? The Feel4Diabetes-study.

OBJECTIVE: This study aimed to investigate the mediating role of food parenting practices (FPP), including home availability of different types of foods and drinks, parental modelling of fruit intake, permissiveness and the use of food as a reward in the relationship between parental education and dietary intake in European children. DESIGN: Single mediation analyses were conducted to explore whether FPP explain associations between parents' educational level and children's dietary intake measured by a parent-reported FFQ. SETTING: Six European countries. PARTICIPANTS: Parent-child dyads (n 6705, 50·7 % girls, 88·8 % mothers) from the Feel4Diabetes-study. RESULTS: Children aged 8·15 ± 0·96 years were included. Parental education was associated with children's higher intake of water, fruits and vegetables and lower intake of sugar-rich foods and savoury snacks. All FPP explained the associations between parental education and dietary intake to a greater or lesser extent. Specifically, home availability of soft drinks explained 59·3 % of the association between parental education and sugar-rich food intake. Home availability of fruits and vegetables was the strongest mediators in the association between parental education and fruit and vegetable consumption (77·3 % and 51·5 %, respectively). Regarding savoury snacks, home availability of salty snacks and soft drinks was the strongest mediators (27·6 % and 20·8 %, respectively). CONCLUSIONS: FPP mediate the associations between parental education and children's dietary intake. This study highlights the importance of addressing FPP in future interventions targeting low-educated populations.

Insulin secretion and action affect glucose variability in the early stages of glucose intolerance.

AIMS: Since it is unknown whether glucose variability (GV) is increased and whether this is related to worsening of insulin secretion and action in prediabetes, we have assessed insulin secretion and sensitivity, and daily GV in early stages of dysglycemia. MATERIALS AND METHODS: Twenty subjects with normal glucose tolerance (NGT; age 45.0 ± 9.5 years; BMI 31.1 ± 6.4 kg/m2), 25 with NGT and 1hrOGTT>8.6 mmol/L (1hrOGTT; 45.7 ± 8.5 years; 32.4 ± 7.0 kg/m2), and 59 with isolated impaired glucose tolerance (iIGT; 47.7 ± 11.2 years; 31.3 ± 6.1 kg/m2) underwent OGTT and MMTT. CGM was performed with blinded FreeStyle Libre Pro for 24 h under standard conditions. Parameters of beta-cell function, insulin sensitivity and GV were calculated. RESULTS: Overall insulin secretion and action as well as GV progressively worsened across glucose tolerance categories. On a matrix analysis, GV parameters were inversely related to ISSI-2; r = -0.37 to -0.52; p < 0.0001; and IGI; r = -0.28 to -0.48; p < 0.0001 for CV, SD, J-index, LI, HBGI and MAGE. Insulin secretion (IGI) and b-cell function (ISSI-2) emerged as independent contributors to GV in early stage of dysglycemia accounting for about 16%-38% of its variability. CONCLUSIONS: Our results show that daily GV worsens already with mild impairment of glucose tolerance. The increase in GV is inversely related to insulin secretion and action.

Diet quality in association to lipidaemic profile in adults of families at high-risk for type 2 diabetes in Europe: The Feel4Diabetes study.

BACKGROUND AND AIMS: The role of diet in blood lipids is scarcely investigated in adults at risk of Type 2 Diabetes Mellitus (T2DM) and even less studied regarding their socioeconomic status (SES). This study aimed to investigate the associations of diet quality with blood lipids in adults from families at high-risk for developing T2DM from six European countries, considering their SES. METHODS AND RESULTS: In total 2049 adults (67% women) from relatively low-SES regions and high T2DM risk families were enrolled. Dietary habits, sedentary behaviour and sociodemographic characteristics were assessed using standardised questionnaires. The associations of tertiles of healthy diet score (HDS) with blood lipids were tested by univariate analysis of variance (UNIANOVA). HDL-Cholesterol (HDL-C) was positively (B 1.54 95%CI 0.08 to 2.99) and LDL-Cholesterol (LDL-C) (B -4.15 95%CI -7.82 to -0.48), ratio of total cholesterol to HDL-C (B -0.24 95%CI -0.37 to -0.10), ratio of LDL-C to HDL-C (B -0.18 95%CI -0.28 to -0.08) and Atherogenic Index of Plasma (B -0.03 95%CI -0.06 to 0.00) inversely associated with the highest tertile of diet score compared to the lowest tertile independently of age, sex, Body Mass Index, total screen time and smoking. In sub-analysis of education (<14 and ≥ 14 years of education), these findings were only significant in the high-SES group. CONCLUSION: While diet quality was poorer in the low-SES group, an association between diet quality and lipidemic profile was not found, as increased central obesity and smoking prevalence might have confounded this association. These findings indicate the need for tailor-made interventions, guided by the specific risk factors identified per population sub groups.

CSII is related to more stable glycemia in adults with type 1 diabetes.

PURPOSE: The purpose of the present study was to compare the basic glycemic control parameters-HbA1c, CV%, and hypoglycemia, as well as quality of life and depression score in patients with type 1 diabetes using continuous subcutaneous insulin infusion (CSII) versus multiple daily injections (MDI). METHODS: 324 adult patients with type 1 diabetes-146 using CSII and 178 on MDI, were enrolled in this cross-sectional study. HbA1c was assessed in whole blood by immuno-turbidimetric NGSP certified method. CV% was derived from CGM or was calculated from a 9-point capillary blood glucose profile. Hypoglycemia frequency, severity, and awareness were assessed using Clarke's hypoglycemia questionnaire. Quality of life (QOL) was assessed using a questionnaire by the Psychiatric Research Unit and the CES-D scale. RESULTS: CSII group compared to MDI group showed significantly lower HbA1c-7.3% (6.6-8.0%) vs 8.2% (7.2-9.6%) (p < 0.0001), lower CV 27.2% (±9.8) vs 34.7% (±11.3) (p < 0.0001), fewer hypoglycemia episodes (p < 0.0001). There was no significant difference in the frequency of severe hypoglycemia, hypoglycemia awareness, QOL, and depression scores between the two groups. CONCLUSIONS: CSII in type 1 diabetes is related to better and more stable glycemic control compared to MDI.

Vitamin D Status in a Bulgarian Population With Type 2 Diabetes and Diabetic Foot Ulcers.

The aim of this study was to assess vitamin D status in patients with type 2 diabetes and diabetic foot ulcers (DFU). A total of 242 participants with type 2 diabetes, mean age 59.1 ± 10 years, mean body mass index 31.4 ± 6.3 kg/m2, and estimated glomerular filtration rate ≥45 mL/min/1.73m2, were divided into 2 groups: 73 with DFU (35 with and 38 without active infection) and 169 without DFU (106 with diabetic peripheral neuropathy, 63 without complications). Neuropathy was assessed by 10 g monofilament, Rydel-Seiffer 128 Hz tuning fork, and temperature discrimination. Serum 25(OH)D (25-hydroxy vitamin D) was assessed by ECLIA (electro-chemiluminescence immunoassay) method. Median 25(OH)D level was 12.6 ng/mL (IQR [interquartile range] 9.3-17.6 ng/mL) in the studied cohort. The DFU group presented with lower 25(OH)D level as compared with diabetic patients without foot ulcers (non-DFU group): 11.6 ng/mL (IQR 8.5-15.8 ng/mL) versus 13.5 ng/mL (IQR 9.6-18.6 ng/mL), P = .001; the diabetic peripheral neuropathy subgroup demonstrated lower 25(OH)D level in comparison with participants without complications: 12.5 ng/mL (IQR 9-17.2 ng/mL) versus 15.9 ng/mL (IQR 10.4-20.8 ng/mL), P = .031. This remained significantly different even after correction for age and duration of diabetes. There was no difference in 25(OH)D level between the subgroups according to the presence of active infection. In conclusion, vitamin D deficiency may play a role in the development of diabetes complications.

The relationship between endogenous secretory RAGE and cardiac autonomic function in prediabetes.

AIMS: The putative protective role of esRAGE for cardiac autonomic function (CAF) remains unclear. To address this question, the present study has assessed the relationship of serum AGEs, sRAGE and esRAGE, and tissue AGEs with CAF in a high-risk population without diabetes. MATERIAL AND METHODS: This study enrolled 48 subjects of mean age 52.7 ± 11.2 years and mean BMI 28.4 ± 6.3 kg/m2 , divided into two groups according to glucose tolerance: 16 with normal glucose tolerance (NGT) and 24 with prediabetes. A standard oral glucose tolerance test (OGTT) was performed. The glucose tolerance was defined according to 2006 WHO criteria. Fasting, 120-minutes glucose, lipids, creatinine, and HbA1c were measured. eGFR was calculated (CKD-EPI). Fasting, 120-minutes insulin (ECLIA method), advanced glycation end products (AGEs), plasma-soluble receptor for AGE (sRAGE), and endogenous secreted isoform of the receptor for AGE (esRAGE), (ELISA method) were assessed. HOMA-IR was calculated. Tissue AGEs were assessed by skin autofluorescence (AGE-Reader, DiagnOpticsTM). CAF was evaluated with ANX 3.0 autonomic nervous-monitoring system (ANSAR), applying deep breathing, Valsalva, and standing. RESULTS: There was a significant decline in CAF in prediabetes in comparison with NGT. Serum and tissue AGEs, sRAGE, and esRAGE levels were similar between groups. On the matrix analysis, both sympathetic and parasympathetic activities at baseline and after standing and sympathetic tone during Valsalva were positively related to esRAGE in prediabetes. Multivariate regression analysis showed that esRAGE is an independent contributor to sympathetic, parasympathetic, and total autonomic tone in prediabetes accounting for about 28%, 34%, and 35% of their variances, respectively. CONCLUSION: Our results have demonstrated that CAF is decreased in prediabetes. esRAGE, but not sRAGE, is reciprocally related to CAF, probably opposing the negative effects of glycation.

Socio-Demographic Characteristics and Body Weight Perceptions of Study Participants Benefitting Most from the Feel4Diabetes Program Based on Their Anthropometric and Glycaemic Profile Changes.

The Feel4Diabetes program was comprised of a community-based screening and a two-year intervention phase aiming to prevent type 2 diabetes (T2D) in families at risk for diabetes across Europe. The current work aimed to identify the socio-demographic characteristics and body weight perceptions of participants who benefitted the most, achieving at least a 5% reduction in body weight, waist circumference and glycaemic indices (fasting plasma glucose, insulin, glycosylated haemoglobin levels), over two-year period. Following a two-stage screening procedure, 2294 high-risk parents were randomly allocated to standard care or more intensive intervention. The participants who benefitted most were living in Southern (OR 2.39-3.67, p < 0.001) and Eastern Europe (OR 1.55-2.47, p < 0.05), received more intensive intervention (OR 1.53-1.90, p = 0.002) and were younger (<40 years old) adults (OR 1.48-1.51, p < 0.05). Furthermore, individuals with tertiary education (OR 2.06, p < 0.001), who were unemployed (OR 1.62-1.68, p < 0.05) and perceived their body weight to be higher than normal (OR 1.58-3.00, p < 0.05) were more likely to benefit from the program. Lastly, males were more likely to show improvements in their glycaemic profiles compared to females (OR 1.40, p = 0.024). These findings point out the regions in Europe and the sociodemographic profile of individuals that benefitted the most in the current study, highlighting the need to prioritise regions in greater need for such interventions and also tailor future interventions to the characteristics and perceptions of the target populations.

Evaluation of the relationship between cardiac autonomic function and glucose variability and HOMA-IR in prediabetes.

AIMS: The present study aims to investigate the relationship between cardiac autonomic function (CAF) and glucose variability (GV) and HOMA-IR in subjects with prediabetes and normal glucose tolerance (NGT). MATERIAL AND METHODS: Ninety-two subjects (59 with prediabetes and 33 with NGT), of mean age 50.3 ± 11.5 years, mean BMI 30.4 ± 6.0 kg/m2, were included in this cross-sectional study. Glucose tolerance was assessed by OGTT according to WHO 2006 criteria. Glucose, HbA1c, insulin, oxLDL, and 3-Nitrotyrosine were measured. CGM was performed with a blinded sensor (FreeStyle Libre Pro). CAF was assessed by ANX-3.0 technology. RESULTS: GV indices were increased in prediabetes. CAF was suppressed in subjects with any stage of dysglycemia. The prevalence of cardiac autonomic dysfunction was higher in prediabetes -20.3% as compared to NGT -3.0%, p = 0.028. HOMA-IR [OR 1.5 (95% CI: 1.1-2.1), p = 0.010] and time in target range [OR 0.8 (95% CI: 0.67-0.97), p = 0.021] were found to be predictive variables for impaired CAF. Sympathetic and parasympathetic activity negatively correlated with mean glycemia and GV indices and were independently related to JINDEX in prediabetes (F[1, 47] = 5.76, p = 0.021 and F[1, 47] = 5.94, p = 0.019, respectively); and to time above target range in NGT (F[1, 18] = 4.48, p = 0.049 and F[1, 18] = 4.65, p = 0.046, respectively). CONCLUSION: CAF is declined in prediabetes and seems to be related to GV and HOMA-IR at early stages of dysglycemia.

Islet, thyroid and transglutaminase antibodies in adult Bulgarian patients with type 1 diabetes.

AIM: The aim of the study was to assess the prevalence and relationship of islet antibodies and autoantibodies of the most common associated autoimmune diseases-autoimmune thyroid disease (AITD) and celiac disease, in adult Bulgarian patients with type 1 diabetes of short duration. MATERIAL AND METHODS: 160 type 1 diabetes patients, of mean age 36.3 ± 10.9 years, mean BMI 23.0 ± 4.2 kg/m2 and mean disease duration 1.35 ± 1.69 years were enrolled. Pancreatic islet cell antibodies-glutamic acid decarboxylase antibodies (GAD 65-Ab), tyrosine phosphatase antibodies (IA 2-Ab), and zinc transporter 8 antibodies (ZnT8-Ab), thyroid antibodies-thyroperoxidase and thyroglobulin antibodies, and transglutaminase antibodies (TTG-IgA-Ab) were assessed by ELISA. RESULTS: 87.5% of the patients had one or more of the islet antibodies-78.1% had GAD 65-Ab, 53.1%-ZnT8-Ab, and 34.4%-IA 2-Ab. 5% presented as just ZnT8-Ab positive. GAD 65-Ab identified 90.6% of the antibody positive patients. The addition of IA 2-Ab as a second immunologic marker identified 94.4%, while the use of ZnT8-Ab in second place identified 98.8% of the cases. 24.4% presented with positive thyroid antibodies and 33.8% had AITD. No relation was found between any of the islet antibodies and AITD. None of the patients was TTG-IgA-Ab positive. No significant correlations were established between the antibodies with different organ specificity. CONCLUSIONS: In adult Bulgarian type 1 diabetes patients ZnT8-Ab is an independent diagnostic marker rating second in prevalence and diagnostic significance after GAD 65-Ab. AITD affects about one third of this population and routine screening is required, while screening for celiac disease is not justified.

Feel4Diabetes healthy diet score: development and evaluation of clinical validity.

BACKGROUND: The aim of this paper is to present the development of the Feel4Diabetes Healthy Diet Score and to evaluate its clinical validity. METHODS: Study population consisted of 3268 adults (63% women) from high diabetes risk families living in 6 European countries. Participants filled in questionnaires at baseline and after 1 year, reflecting the dietary goals of the Feel4Diabetes intervention. Based on these questions the Healthy Diet Score was constructed, consisting of the following components: breakfast, vegetables, fruit and berries, sugary drinks, whole-grain cereals, nuts and seeds, low-fat dairy products, oils and fats, red meat, sweet snacks, salty snacks, and family meals. Maximum score for each component was set based on its estimated relative importance regarding T2DM risk, higher score indicating better quality of diet. Clinical measurements included height, weight, waist circumference, heart rate, blood pressure, and fasting blood sampling, with analyses of glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol, and triglycerides. Analysis of (co) variance was used to compare the Healthy Diet Score and its components between countries and sexes using baseline data, and to test differences in clinical characteristics between score categories, adjusted for age, sex and country. Pearson's correlations were used to study the association between changes from baseline to year 1 in the Healthy Diet Score and clinical markers. To estimate reproducibility, Pearson's correlations were studied between baseline and 1 year score, within the control group only. RESULTS: The mean total score was 52.8 ± 12.8 among women and 46.6 ± 12.8 among men (p <  0.001). The total score and its components differed between countries. The change in the Healthy Diet Score was significantly correlated with changes in BMI, waist circumference, and total and LDL cholesterol. The Healthy Diet Score as well as its components at baseline were significantly correlated with the values at year 1, in the control group participants. CONCLUSION: The Feel4Diabetes Healthy Diet Score is a reproducible method to capture the dietary information collected with the Feel4Diabetes questionnaire and measure the level of and changes in the adherence to the dietary goals of the intervention. It gives a simple parameter that associates with clinical risk factors in a meaningful manner. TRIAL REGISTRATION: Clinicaltrials.gov NCT02393872. Registered March 20, 2015.