The increasing prevalence of prediabetes globally does not bode well for the growing epidemic of type 2 diabetes (T2D) and its complications. Yet there is a lack of studies regarding lifestyle ...patterns (LPs) and their association with prediabetes. The present study aimed to examine the association of different LPs with the existence of prediabetes in adults from families at high risk for T2D in Europe. In total, 2759 adults (66.3% females) from six European countries were included in this cross-sectional analysis using data from the baseline assessment of the Feel4Diabetes study. Anthropometric, sociodemographic, dietary and behavioral data were assessed, and fasting blood glucose measurements were also obtained. LPs were derived via principal component analysis. Two LPs were derived, explaining 32% of the total variation. LP 1 was characterized by breakfast consumption, high consumption of fruits and berries, vegetables and nuts and seeds, and low consumption of salty snacks and soft drinks with sugar, while LP 2 was characterized by high consumption of salty and sweet snacks, soft drinks with sugar and juice with sugar and sedentary behavior. After adjusting for various confounders, LP 2 was positively associated with the existence of prediabetes (odds ratio = 1.02, 95% CI 1.01-1.04), while LP 1 was not significantly associated with prediabetes. Understanding LPs would provide necessary evidence for planning intervention and education strategies for prediabetes and T2D.
The Feel4Diabetes study is a type 2 diabetes prevention program that recruited 12,193 children age: 8.20 (±1.01) years and their parents from six European countries. The current work used ...pre-intervention data collected from 9576 children-parents pairs, to develop a novel family obesity variable and to examine its associations with family sociodemographic and lifestyle characteristics. Family obesity, defined as the presence of obesity in at least two family members, had a prevalence of 6.6%. Countries under austerity measures (Greece and Spain) displayed higher prevalence (7.6%), compared to low-income (Bulgaria and Hungary: 7%) and high-income countries (Belgium and Finland: 4.5%). Family obesity odds were significantly lower when mothers (OR: 0.42 95% CI: 0.32, 0.55) or fathers (0.72 95% CI: 0.57, 0.92) had higher education, mothers were fully (0.67 95% CI: 0.56, 0.81) or partially employed (0.60 95% CI: 0.45, 0.81), families consumed breakfast more often (0.94 95% CI: 0.91 0.96), more portions of vegetables (0.90 95% CI: 0.86, 0.95), fruits (0.96 95% CI: 0.92, 0.99) and wholegrain cereals (0.72 95% CI: 0.62, 0.83), and for more physically active families (0.96 95% CI: 0.93, 0.98). Family obesity odds increased when mothers were older (1.50 95% CI: 1.18, 1.91), with the consumption of savoury snacks (1.11 95% CI: 1.05, 1.17), and increased screen time (1.05 95% CI: 1.01, 1.09). Clinicians should familiarise themselves with the risk factors for family obesity and choose interventions that target the whole family. Future research should explore the causal basis of the reported associations to facilitate devising tailored family-based interventions for obesity prevention.
•Halting the rise in childhood obesity is an ongoing challenge in Europe.•Sugar-sweetened beverage (SSB) intake has become a common family practice.•Permissive parenting was associated with a higher ...intake of SSBs in children, independent of body mass index.•Parents watching television with their children was positively associated with SSBs in normal-weight children.•Modification of permissive parenting could effectively reduce children's SSB intake.
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.
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).
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.
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.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
•Across the globe, childhood overweight/obesity (OW/OB) is a serious health problem.•We compared factors from prenatal to mid-childhood associated with prospective BMI deterioration.•Parental OW/OB ...and country economic classification by Gross National Income were associated with higher odds of children's prospective BMI deterioration.•Public health initiatives targeting childhood obesity should prioritize European countries at high risk.
This study aimed to evaluate all known risk factors, from perinatal to adolescence and identify those predominantly related with prospective BMI deterioration.
Prospective data analysis from the European Feel4Diabetes-study involving 12,211 children from six countries. Details on perinatal and sociodemographic characteristics were collected by parental self-reported questionnaires. Children’s anthropometric data were measured by research personnel. Associations between risk factors and children’s BMI deterioration (i.e increase) from baseline (mean age 8.2 ± 0.98 years) to the 2-year follow-up (10.3 ± 1.0 years) were explored by applying logistic regression analyses.
Univariate analysis revealed that all known risk factors for early overweight/obesity development, remained dominant in prospective BMI deterioration. When multivariate analysis was applied including additional variables such as parents’ current BMI status, family socio-demographic characteristics and country economic classification based on Gross National Income, most perinatal risk factors were no longer significant. Multivariate analysis revealed that pre-pregnancy maternal overweight/obesity (OR, 95%CI: 2.71, 1.67-4.38), early introduction of solid foods (2.54, 1.21-5.31), parental current BMI status (3.53, 2.17-5.72) and country economic classification (low income: 4.67, 2.20-9.93; under austerity measures: 6.78, 3.18-14.48) were the only parameters associated with higher odds for children’s BMI deterioration from the study baseline to 2-year follow-up after adjusting for children’s gender.
The most predominant risk factors influencing children’s prospective BMI deterioration were parental BMI and country economic classification as compared to perinatal. These findings should guide public health initiatives aiming to tackle the childhood obesity epidemic and social inequalities on a European level.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Advancing age increases the risk for diseases and health concerns like cognitive decline, constituting a major public health challenge. Lifestyle, especially healthy diet, affects many risk factors ...related to chronic diseases, and thus lifestyle interventions among older adults may be beneficial in promoting successful ageing. We completed a randomised 2-year multi-domain lifestyle intervention trial aiming at prevention of cognitive decline among 631 participants in the intervention and 629 in the control group, aged 60–77 years at baseline. Dietary counselling was one of the intervention domains together with strength exercise, cognitive training and management of CVD risk factors. The aim of this paper was to describe success of the intervention – that is, how an intervention based on national dietary recommendations affected dietary habits as a part of multi-intervention. Composite dietary intervention adherence score comprising nine distinct goals (range 0–9 points from none to achieving all goals) was 5·0 at baseline, and increased in the intervention group after the 1st (P<0·001) and 2nd (P=0·005) year. The difference in change compared with the control group was significant at both years (P<0·001 and P=0·018). Intake of several vitamins and minerals decreased in the control group but remained unchanged or increased in the intervention group during the 2 years. Well-targeted dietary counselling may prevent age-related decline in diet quality and help in preventing cognitive decline.
We aimed to develop and evaluate the effectiveness of an individualized, long-term support lifestyle counseling approach in promoting healthy physical activity, improving dietary and sleeping ...behaviors, and preventing weight gain in young females. The counseling approach's intensity was designed to be low enough to be implementable in primary health care.
Young women (n = 3,059, age at baseline 17-21 years) attending a population-based human papilloma virus vaccination trial (clinicaltrials.gov identifier: NCT00122681) in 15 vaccination centers in different communities across Finland, were cluster-randomized into intervention and control arms of the LINDA intervention. Both intervention and control arms received counseling on sexual health and contraception from the study nurses as part of the vaccination trial. Additionally, the LINDA intervention arm (n = 1,537) received a 20-minute individualized lifestyle counseling session followed by further support at the six-monthly follow-up visits of the vaccination trial, in total for 1.5-2.5 years.The LINDA solution-focused brief therapy intervention focused on healthy physical activity, and dietary and sleeping behaviors, based on the needs and interests of the participants. Anthropometrics were measured, and data on health-related behaviors were collected using self-report questionnaires at baseline and after the intervention at 1.5-2.5 years.
In the intervention arm, 37% vs. 31% in the control arm made an overall improvement in their health behaviors concerning physical activity, meal regularity and/or earlier bedtime (NNT = 18, 95% CI = 11-50). The per-protocol analysis further revealed that 30% of those who actually received lifestyle change support on healthy physical activity behaviors improved their physical activity level vs. 23% in the control group (NNT = 15, 95% CI = 9-38). Respectively, 36% of those who received support on healthy sleeping behaviors went to sleep earlier before school-/work-days after the intervention vs. 28% in the control group (NNT = 13, 95% CI = 7-61). Dinner irregularity increased in both groups, but less in the intervention group among those who received support on healthy dietary behaviors (NNT = 15, 95%CI = 9-46). There was no effect on weight gain between baseline and study end-point.
The solution-focused brief therapy intervention, with individually tailored content, helped to make small, long-term overall improvements in health behaviors concerning physical activity, meal regularity and/or earlier bedtime.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
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.
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.
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.
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.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
This study aimed to investigate whether the relationship between psychosocial and perceived environmental factors and physical activity (PA) in adults at risk for type 2 diabetes is influenced by ...educational level.
Based on the Finnish Diabetes Risk Score questionnaire, this study selected 164 adults (Mage: 38 (5.34) y, 13.4% men) at type 2 diabetes risk from 11 low socioeconomic neighborhoods in Flanders (Belgium). Participants filled out questionnaires on psychosocial and perceived environmental factors and wore an ActiGraph accelerometer for 5 consecutive days. Statistical analyses were performed using analysis of covariance in SPSS.
Educational level significantly influenced the association between perception of body weight and light PA (P = .01) and total PA (P = .03) on weekend days. Educational level did not influence the associations between other psychosocial and perceived environmental factors (ie, perceived social influence; environmental, time and attitudinal barriers, perceived self-efficacy; knowledge and fatalism) and PA.
Educational level did not influence the relationship between most psychosocial and perceived environmental factors and PA in this sample of adults at type 2 diabetes risk. This suggests that addressing different psychosocial and perceived environmental correlates in lower and higher educated participants might not be necessary. However, more research in this specific population is needed.
The combination of clinical and personal health and wellbeing data can tell us much about our behaviors, risks and overall status. The way this data is visualized may affect our understanding of our ...own health. To study this effect, we conducted a small experiment with 30 participants in which we presented a holistic overview of the health and wellbeing of two modeled individuals, one of them with metabolic syndrome. We used an insight-based methodology to assess the effectiveness of the visualizations. The results show that adequate visualization of holistic health data helps users without medical background to better understand the overall health situation and possible health risks related to lifestyles. Furthermore, we found that the application of insight-based methodology in the health and wellbeing domain remains unexplored and additional research and methodology development are needed.
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