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

Parental food consumption and diet quality and its association with children's food consumption in families at high risk of type 2 diabetes: the Feel4Diabetes-study

OBJECTIVE

To examine the parental food consumption and diet quality and its associations with children's consumption in families at high risk for developing type 2 diabetes mellitus across Europe. Also, to compare food frequency consumption among parents and children from high-risk families to the European Dietary guidelines/recommendations.

DESIGN

Cross-sectional study using Feel4diabetes FFQ.

SETTING

Families completed FFQ and anthropometric measures were obtained. Linear regression analyses were applied to investigate the relations between parental food consumption and diet quality and their children's food consumption after consideration of potential confounders.

PARTICIPANTS

2095 European families (74·6 % mothers, 50·9 % girls). The participants included parent and one child, aged 6-8 years.

RESULTS

Parental food consumption was significantly associated with children's intake from the same food groups among boys and girls. Most parents and children showed under-consumption of healthy foods according to the European Dietary Guidelines. Parental diet quality was positively associated with children's intake of 'fruit' (boys: β = 0·233, P < 0·001; girls: β = 0·134, P < 0·05) and 'vegetables' (boys: β = 0·177, P < 0·01; girls: β = 0·234, P < 0·001) and inversely associated with their 'snacks' consumption (boys: β = -0·143, P < 0·05; girls: β = -0·186, P < 0·01).

CONCLUSION

The present study suggests an association between parental food consumption and diet quality and children's food intake. More in-depth studies and lifestyle interventions that include both parents and children are therefore recommended for future research.

Association of breakfast consumption frequency with fasting glucose and insulin sensitivity/b cells function (HOMA-IR) in adults from high-risk families for type 2 diabetes in Europe: the Feel4Diabetes Study

PURPOSE

This study aimed to investigate the association of breakfast consumption frequency (BCF) with glycemic control indices in a cross-sectional sample of adults from families at high risk for type 2 diabetes mellitus (T2DM), exploring the role of sex and socioeconomic status (SES).

METHODS

In 2370 adults (40.8 ± 5.6 years) from 6 European countries, sociodemographic, lifestyle, anthropometric and biochemical characteristics were assessed through standardized procedures. Multivariable regression models were used to examine the association between fasting glucose (FG), fasting insulin (FI), and insulin resistance (HOMA-IR) (dependent variables) with BCF (independent variable) controlling for multiple possible confounders.

RESULTS

A linear association of BCF with FG (β = -0.557, 95% CI (-0.834, -0.280)) and a quadratic association with FI and HOMA-IR with the highest point of curve observed at BCF = 2.989 (times/week) and at BCF = 2.746, respectively, independent of the used covariates. In males and in participants of high SES, BCF was linearly and inversely associated with FG, while with FI and HOMA-IR there was an association with BCF in quadratic function. In females, BCF was linearly and inversely associated with FG and HOMA-IR, and there was a quadratic association with FI. In low SES there was only a linear association with FG, yet with no statistically significant findings for FI and HOMA-IR.

CONCLUSIONS

Regular breakfast consumption, especially >3 times/week is associated with improved indices of glycemic control. This association was diminished in low SES participants in the presence of the used covariates.

Prevalence of Childhood Obesity by Country, Family Socio-Demographics, and Parental Obesity in Europe: The Feel4Diabetes Study

The Feel4Diabetes study recruited 12,193 children (age: 8.20 ±1.01 years) and their parents from six European countries as part of the broader attempt to prevent type 2 diabetes. The current work collected data pre-intervention to identify the prevalence of childhood obesity by country and describe its association with socio-demographic characteristics and parental obesity status. One in four children were overweight or obese, and one in four families had at least one obese parent. Multivariate logistic regression examined the associations between childhood obesity, family socio-demographics, and parental obesity status. Children had a higher chance of being overweight or obese if they were living in “low income” countries (OR: 2.11, 95% CI: 1.62, 2.74) and countries “under economic crisis” (OR: 2.48, 95% CI: 1.89, 3.24) compared to “high-income” countries; if their fathers completed fewer than nine years of education (OR: 2.16, 95% CI: 1.54, 3.05) compared to children whose fathers had a higher level (>14 years) of education; and if one (OR: 2.46, 95% CI: 0.32, 0.62) or both of their parents (OR: 6.83, 95% CI: 5.15, 9.05) were obese. Future childhood obesity prevention-programs should target the whole family while taking into consideration the socioeconomic and weight status of parents. Future research should examine these associations in more countries and in socio-demographically diverse populations in order to facilitate the generalisability of the present study’s findings.

Implementation of Mobile Psychological Testing on Smart Devices: Evaluation of a ResearchKit-Based Design Approach for the Implicit Association Test

Objective

To determine whether a framework-based approach for mobile apps is appropriate for the implementation of psychological testing, and equivalent to established methods.

Methods

Apple's ResearchKit was used for implementing native implicit association test methods (IAT), and an exemplary app was developed to examine users' implicit attitudes toward overweight or thin individuals. For comparison, a web-based IAT app, based on code provided by Project Implicit, was used. Adult volunteers were asked to test both versions on an iPad with touch as well as keyboard input (altogether four tests per participant, random order). Latency values were recorded and used to calculate parameters relevant to the implicit setting. Measurements were analyzed with respect to app type and input method, as well as test order (ANOVA and χ² tests).

Results

Fifty-one datasets were acquired (female, n = 21; male, n = 30, average age 35 ± 4.66 years). Test order and combination of app type and input method influenced the latency values significantly (both P<0.001). This was not mirrored for the D scores or average number of errors vs. app type combined with input method (D scores: P = 0.66; number of errors: P = 0.733) or test order (D scores: P = 0.096; number of errors: P = 0.85). Post-hoc power analysis of the linear ANOVA showed 0.8 by f ²=0.25, with α = 0.05 and 4 predictors.

Conclusions

The results suggest that a native mobile implementation of the IAT may be comparable to established implementations. The validity of the acquired measurements seems to depend on the properties of the chosen test rather than the specifics of the chosen platform or input method.

Cost-effectiveness analysis of a school- and community-based intervention to promote a healthy lifestyle and prevent type 2 diabetes in vulnerable families across Europe: the Feel4Diabetes-study

The Feel4Diabetes-study implemented a school- and community-based intervention to promote healthy lifestyle and prevent type 2 diabetes mellitus (T2DM) in six European countries. The intervention included a special focus on families at increased T2DM risk. The current study evaluates the intervention's cost-effectiveness. A Markov-type health economic model was developed to predict the incidence of T2DM and its complications. Incremental cost-effectiveness ratios (lifetime horizon, societal perspective) were calculated based on the overall intervention effect on health behaviour, and stratified for low- and high-risk families. Sensitivity analyses captured input parameters uncertainty. A budget impact analysis was performed. The increase in children's water consumption and physical activity led to a modest gain in quality adjusted life years (QALYs) at a low intervention cost and budget impact. Medical cost savings due to avoided illness could only be achieved on the very long-term (>30 years). The intervention in its entirety was cost-effective (more QALYs at a reasonable investment) in Belgium, Finland, Bulgaria, and Hungary, while being dominant (net savings and more QALYs) in Greece and Spain. Results were cost-effective for the low-risk families, who only received the school- and community-based intervention component. Results for the high-risk families were only cost-effective (with considerable uncertainty) in Greece and Spain, but not when the intervention would need to be repeated. The Feel4Diabetes-intervention is potentially cost-effective, especially in countries with a high overweight and obesity prevalence, at a limited budget impact. The incremental financial investments to reach and support high-risk families did not result in the hoped-for health benefits.