A lifestyle pattern characterised by high consumption of sweet and salty snacks, sugar sweetened beverages and sedentary time is associated with blood pressure in families at risk for type 2 diabetes mellitus in Europe. The Feel4Diabetes Study.

BACKGROUND: Individuals from families at high-risk for type 2 diabetes mellitus (T2DM) are also at high risk for hypertension (HTN) and cardiovascular disease. Studies identifying lifestyle patterns (LPs) combining dietary, physical activity or sedentary variables and examining their possible role with respect to developing blood pressure (BP) are limited. The present study aimed to examine the association of different LPs with BP levels in families at high risk for T2DM in Europe. METHODS: In total, 1844 adults (31.6% males) at high-risk for T2DM across six European countries were included in this cross-sectional study using data from the baseline assessment of the Feel4Diabetes Study. BP measurements and dietary and physical activity assessments were conducted, and screen times were surveyed. LPs were revealed with principal component analysis of various data regarding diet, physical activity, screen time and smoking. RESULTS: Three LPs were identified. LP3 (high consumption of sweet and salty snacks, sugar sweetened soft drinks and juices, and high amount of screen time) was positively associated with diastolic BP (B, 0.52; 95% confidence interval = 0.05-0.99) and the existence of HTN (odds ratio = 1.12; 95% confidence interval = 1.00-1.25). Participants in the highest tertile of LP3 spent mean 3 h of screen time, consumed 1.5 portions of sweet and/or salty snacks and 1 L of soft drinks on a daily basis, were associated with 12% higher risk of HTN. CONCLUSIONS: Focusing on the combination of eating and lifestyle behaviours may more accurately identify, and therefore guide preventive measures tailored to the specific needs of high-risk populations.

Association of diet quality with glycemia, insulinemia, and insulin resistance in families at high risk for type 2 diabetes mellitus in Europe: Feel4 Diabetes Study.

OBJECTIVE: The aim of the present study was to investigate the association of diet quality with fasting glycemia, insulinemia, and insulin resistance in a cross-sectional sample of adults from families at high risk for type 2 diabetes mellitus (T2DM) from six European countries, taking into account their socioeconomic status (SES). METHODS: Baseline data from non-diabetic adults from the Feel4 Diabetes study were used and diet was assessed by the Healthy Diet Score (HDS). Insulin resistance (IR) was determined by homeostasis model assessment of IR (HOMA-IR). Sociodemographic and lifestyle characteristics were assessed through standardized questionnaires. Multiple linear regressions were adjusted for many confounders, in the total sample and by SES category. RESULTS: In 1980 adults, the third tertile of diet quality was inversely associated with insulin levels (-1.48; 95% confidence interval [CI], -2.34 to 0.62), and HOMA-IR (-0.33; 95% CI, -0.57 to 0.09), yet with no statistically significant results for glucose levels. In the SES subgroup analysis, in the high SES group, both second and third diet score tertiles were inversely associated with insulin levels (-1.81; 95% CI, -2.66 to 0.95) and HOMA-IR values (-0.45; 95% CI -0.69 to 0.21), independent of age, sex, smoking and body mass index. No such associations were observed for glucose levels in the high SES group and for all indices in the low SES group. CONCLUSION: In adults from families at high risk for T2DM, higher diet quality was negatively associated with fasting insulin levels and IR, only in the high SES group and not in the low SES group. Future larger studies may be able to explore further this association, as well as the potential factors that mitigate its strength in the low SES groups.

Sociodemographic, anthropometric, and lifestyle correlates of prediabetes and type 2 diabetes in europe: The Feel4Diabetes study.

BACKGROUND AND AIMS: The current work aimed to identify the predominant correlates of prediabetes and T2DM among a variety of socio-demographic, anthropometric and lifestyle indices, in a large sample of adults from families at high risk for T2DM. METHODS AND RESULTS: In this cross-sectional study, 2816 adults were recruited from low-socioeconomic areas in high-income countries (HICs) (Belgium-Finland), HICs under austerity measures (Greece-Spain), and low/middle-income countries (LMICs) (Bulgaria-Hungary). A positive association between the male sex (OR, 95% C.I.2.77 (1.69-4.54)) and prediabetes was revealed compared to females, while there was a negative association between younger age (<45 years) (OR, 95% C.I. 0.58 (0.37-0.92)), and low/medium levels of waist circumference (OR, 95% C.I. 0.44 (0.22-0.89)) with prediabetes compared to older age and high levels of waist circumference, respectively. Concerning T2DM, 0-0.5 cups/day of fruits and berries (OR, 95% C.I.2. 13 (1.16-3.91)) and 150-300 g fish/week (OR, 95% C.I. 2.55 (1.01-6.41)) have a positive association compared to higher consumptions, respectively. Conversely, <1 cup/week legumes (OR, 95% C.I. 0.55 (0.31-0.99) as well as 0-0.5 servings (OR, 95% C.I. 0.34 (0.12-0.95) and 0.5-1 servings (OR, 95% C.I. 0.37 (0.19-0.71) of full-fat dairy/day have a negative association compared to higher consumptions, respectively. CONCLUSION: These findings indicate the need for diabetes prevention measures targeting young adults and especially men, above 45 years of age, with central obesity and poor dietary habits and prioritize vulnerable groups and populations living in LMICs. NATIONAL CLINICAL TRIAL NUMBER: NCT02393872.

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.

European Childhood Obesity Risk Evaluation (CORE) index based on perinatal factors and maternal sociodemographic characteristics: the Feel4Diabetes-study.

The aim of this study was to develop and examine the predictive accuracy of an index that estimates obesity risk in childhood based on perinatal factors and maternal sociodemographic characteristics. Analysis was conducted by using cross-sectional and retrospective data collected from a European cohort of 2775 schoolchildren and their families participating in the Feel4Diabetes-study. The cohort was randomly divided by using two-thirds of the sample for the development of the index and the remaining one third for assessing its predictive accuracy. Logistic regression analyses determined a prediction model for childhood obesity. The area under the receiver operating characteristic curve (AUC-ROC), sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated. Cut-off analysis was applied to identify the optimal value of the index score that predicts obesity with the highest possible sensitivity and specificity. Eight factors were found to be significantly associated with obesity and were included as components in the European "Childhood Obesity Risk Evaluation" (CORE) index: region of residence, maternal education, maternal pre-pregnancy weight status, gestational weight gain, maternal smoking during pregnancy, birth weight for gestational age, infant growth velocity, and exclusive breastfeeding during the first 6 months. Risk score ranged from 0 to 22 corresponding to a risk from 0.9 to 54.6%. The AUC-ROC was 0.725 with optimal cut-off ≥9 (sensitivity = 74.1%, specificity = 61.0%, PPV = 11.3%, NPV = 97.2%).Conclusion: The European CORE index can be used as a screening tool for the identification of infants at high-risk for becoming obese at 6-9 years. This tool could assist healthcare professionals in initiating preventive measures from the early life.Trial registration: The Feel4Diabetes-intervention is registered at https://clinicaltrials.gov/ ; number, CT02393872; date, March 20, 2015. What is Known: • As prevention of obesity should start early in life, there is a compelling rationale for the early identification of high-risk children to facilitate targeted intervention. What is New: • This study developed and assessed the predictive accuracy of an index for the Childhood Obesity Risk Evaluation (CORE), combining certain perinatal factors and maternal sociodemographic characteristics in a large European cohort. • The European CORE index can be used as a screening tool for identifying infants at high-risk for becoming obese at 6-9 years and assist health professionals in initiating early prevention strategies.

Lipidemic Profile Changes over a Two-Year Intervention Period: Who Benefited Most from the Feel4Diabetes Program?

Identification of participants' characteristics who benefited most from large community-based intervention studies may guide future prevention initiatives in order to maximize their effectiveness. The current study aimed to examine the socio-demographic, anthropometric, and behavioral characteristics, as well as the health and eating perceptions of those who improved their lipidemic profile, in the Feel4Diabetes early screening and prevention program. In the present analyses, 1773 adults from families at high risk for developing type 2 diabetes mellitus (T2DM) were enrolled, receiving either the standard care or the more intensive intervention, and 33.3-55.2% of them improved one or more of their lipidemic indices by >5%. Women, people living in Southeastern Europe, coming from two-parent families, having higher financial security, educational level and better diet quality were associated with a 27-64% higher likelihood for benefiting from the program regarding one or more of their lipidemic profile indices. Participants who were overweight or obese (especially with central obesity), employed, with prolonged sedentary behavior, prone to emotional eating and perceiving their weight status as lower than their actual weight were 24-43% less likely to have benefited. These findings should guide future interventions, prioritizing regions in greater need, and being tailor-made to specific population characteristics in order to further improve their effectiveness.

Two-stage, school and community-based population screening successfully identifies individuals and families at high-risk for type 2 diabetes: the Feel4Diabetes-study.

BACKGROUND: The implementation of population screening and early prevention strategies targeting individuals at high-risk for type 2 diabetes (T2D) seems to be a public health priority. The current work aimed to describe the screening procedure applied in the Feel4Diabetes-study and examine its effectiveness in identifying individuals and families at high risk, primarily for T2D and secondarily for hypertension, among vulnerable populations in low to middle-income countries (LMICs) and high-income countries (HICs) across Europe. METHODS: A two-stage screening procedure, using primary schools as the entry-point to the community, was applied in low socioeconomic status (SES) regions in LMICs (Bulgaria-Hungary), HICs (Belgium-Finland) and HICs under austerity measures (Greece-Spain). During the first-stage screening via the school-setting, a total of 20,501 parents (mothers and/or fathers) of schoolchildren from 11,396 families completed the Finnish Diabetes Risk Score (FINDRISC) questionnaire, while their children underwent anthropometric measurements in the school setting. Parents from the identified "high-risk families" (n = 4484) were invited to participate in the second-stage screening, including the measurement of fasting plasma glucose (FPG) and blood pressure (BP). In total, 3153 parents participated in the second-stage screening (mean age 41.1 ± 5.6 years, 65.8% females). RESULTS: Among parents who attended the second-stage screening, the prevalence of prediabetes (as defined by impaired fasting glucose; FPG 100-125 mg/dl) and T2D (FPG > 126 mg/dl) was 23.2 and 3.0% respectively, and it was found to be higher in the higher FINDRISC categories. The percentage of undiagnosed T2D among the participants identified with T2D was 53.5%. The prevalence of high normal BP (systolic BP 130-139 mmHg and/ or diastolic BP 85-89 mmHg) and hypertension (systolic BP ≥ 140 mmHg and/ or diastolic BP ≥ 90 mmHg) was 14 and 18.6% respectively, which was also higher in the higher FINDRISC categories. The percentage of cases not receiving antihypertensive treatment among the participants identified with hypertension was 80.3%. CONCLUSION: The findings of the current study indicate that the two-stage school and community-based screening procedure followed, effectively identified high-risk individuals and families in vulnerable populations across Europe. This approach could be potentially scalable and sustainable and support initiatives for the early prevention of T2D and hypertension. TRIAL REGISTRATION: The Feel4Diabetes-intervention is registered at https://clinicaltrials.gov/ (NCT02393872; date of trial registration: March 20, 2015).

Evaluation of the Finnish Diabetes Risk Score as a screening tool for undiagnosed type 2 diabetes and dysglycaemia among early middle-aged adults in a large-scale European cohort. The Feel4Diabetes-study.

AIM: To assess the diagnostic accuracy of the FINDRISC for undiagnosed type 2 diabetes mellitus (T2DM) and dysglycaemia (i.e. the presence of prediabetes or T2DM) among early middle-aged adults from vulnerable groups in a large-scale European cohort. METHODS: Participants were recruited from low-socioeconomic areas in high-income countries (HICs) (Belgium-Finland) and in HICs under austerity measures (Greece-Spain) and from the overall population in low/middle-income countries (LMICs) (Bulgaria-Hungary). Study population comprised of 2116 parents of primary-school children from families identified at increased risk of T2DM, based on parental self-reported FINDRISC. Sensitivity (Se), specificity (Sp), area under the receiver operating characteristic curves (AUC-ROC) and the optimal cut-offs of FINDRISC that indicate an increased probability for undiagnosed T2DM or dysglycaemia were calculated. RESULTS: The AUC-ROC for undiagnosed T2DM was 0.824 with optimal cut-off ≥14 (Se = 68%, Sp = 81.7%) for the total sample, 0.839 with optimal cut-off ≥15 (Se = 83.3%, Sp = 86.9%) for HICs, 0.794 with optimal cut-off ≥12 (Se = 83.3%, Sp = 61.1%) for HICs under austerity measures and 0.882 with optimal cut-off ≥14 (Se = 71.4%, Sp = 87.8%) for LMICs. The AUC-ROC for dysglycaemia was 0.663 with optimal cut-off ≥12 (Se = 58.3%, Sp = 65.7%) for the total sample, 0.656 with optimal cut-off ≥12 (Se = 54.5%, Sp = 64.8%) for HICs, 0.631 with optimal cut-off ≥12 (Se = 59.7%, Sp = 62.0%) for HICs under austerity measures and 0.735 with optimal cut-off ≥11 (Se = 72.7%, Sp = 70.2%) for LMICs. CONCLUSION: FINDRISC can be applied for screening primarily undiagnosed T2DM but also dysglycaemia among vulnerable groups across Europe, considering the use of different cut-offs for each subpopulation.