Physical activity in relation to metabolic health and obesity: The Feel4Diabetes study.

AIM: To examine physical activity levels in association with metabolic health and estimate the stability of metabolically healthy obese (MHO) phenotypes over a 2-year period. METHODS: In total, 2848 men and women from families at risk of the development of diabetes were recruited. Participants were classified as obese or non-obese and metabolic health was defined using five existing definitions. Physical activity was estimated with the International Physical Activity Questionnaire and pedometers. RESULTS: Prevalence of the MHO phenotype varied among definitions (0% to 20.2%). Overall, the MHO were more active than the metabolically unhealthy obese (MUO). Daily sitting hours (odds ratio [OR] = 1.055, 95% confidence interval [CI]: 1.009-1.104) and daily steps (per 500; OR = 0.934, 95% CI: 0.896-0.973) were remarkable predictors of metabolic health in individuals with obesity; and likewise, in individuals without obesity. After 2 years, 44.1% of baseline MHO adults transitioned to MUO, while 84.0% of the MUO at baseline remained at the same phenotype. Although physical activity was not a major determinant in phenotype transitioning, daily steps were associated with the maintenance of metabolic health over time in the non-obese group. CONCLUSION: A universally accepted definition for MHO is needed. Being physically active can contribute to a metabolically healthy profile even in the presence of obesity; still, MHO is a transient condition and physical activity alone may not be an adequate factor for its maintenance.

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.

Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013-2019.

AIMS: To analyse the prevalence of prescribed medications among people with type 2 diabetes, their relationship to HbA1c levels and transitions between medications. METHODS: The data included all 18- to 85-year-old adults with type 2 diabetes (identified from the electronic health records), who lived in North Karelia, Finland, between 2013 and 2019. Type 2 diabetes medication was defined based on prescriptions. Logistic and linear regressions with generalized estimating equations were used to assess the differences between years. RESULTS: Metformin as a monotherapy was the most used medication (33%-35%) with the largest percentage of those in good glycaemic control. After metformin, the most used medications were long-acting and short-acting insulin and gliptin (16%-24% per group). In insulin groups, there were the smallest percentage of people in good glycaemic control. The use of SGLT2-i increased most during the follow-up (from 1.6% to 11%), but at the same time the percentage of those meeting the target HbA1c level decreased the most (from 83% to 53%). The use of GLP-1 RA and other medications were under 3.5%. SGLT2-i and insulin were the most stable medication groups. The most common transitions were from SGLT2-i to long-acting insulin and between insulin groups. CONCLUSIONS: The sequencing of prescribing additional type 2 diabetes medication or replacing current medication with new ones seems to occur according to guidelines. However, more attention should be paid to the intensification of treatment and the possibilities for new treatment choices in the management of T2D taking into account the persons' characteristics.

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.

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.

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.

The impact of the COVID-19 pandemic on incident cases of chronic diseases in Finland.

The coronavirus disease 2019 pandemic has caused changes in the availability and use of health services, and disruptions have been reported in chronic disease management. We aimed to study the impact of the pandemic on the incidence of chronic diseases in Finland using register-based data. Incident cases of chronic diseases decreased, except for cases of anxiety disorders. The annual reductions ranged from 5% in cases of cancers to over 16% in cases of type 2 diabetes. These findings may be due to diagnostic delays and highlight the importance of ensuring access to health care and the continuity of care in all circumstances.

The adverse effect of the COVID-19 pandemic on health service usage among patients with type 2 diabetes in North Karelia, Finland.

AIMS: The COVID-19 pandemic has challenged health systems and their capacity to deliver essential health services while responding to COVID-19. This study examines the pandemic's impact on health service usage among patients with type 2 diabetes in the North Karelia region, in Finland. METHODS: This retrospective cohort study used electronic health records of 11,458 type 2 diabetes patients, comprising all primary and specialised care contacts in 2019 and 2020. We analysed diabetes and dental healthcare contacts to primary care nurses, doctors and dentists and all emergency visits in specialised care. We compared healthcare usage in three different periods in 2020 (pre-lockdown [1 January-15 March], lockdown [16 March-31 May], post-lockdown [1 June-31 December]) with the equivalent period in 2019. RESULTS: During the lockdown period, the number of diabetes-related contacts decreased significantly but quickly increased again to nearly the same level as in 2019. Overall, healthcare usage was lower in the pandemic year, with proportionally 9% fewer contacts per person (mean 2.08 vs 2.29) and a proportionally 9% lower proportion of patients making any contact (59.9% vs 65.8%). The proportion of remote consultations was similar in both years in the pre-lockdown period (56.3-59.5%) but then increased to 88.0% during the 2020 lockdown. Patterns were similar when analysed by age group and gender. Emergency visits went down significantly at the beginning of the lockdown period, but a "rebound effect" was observed, so after the lockdown, the number of emergency visits in 2020 exceeded the numbers of the previous year. CONCLUSION: Despite the COVID-19 pandemic, diabetes care was continuous, and even elderly patients aged ≥70 years accessed the health services. The delivery of many essential services was facilitated by processes that strongly relied on telemedicine already before the pandemic.

Association of travel time with mental health service use in primary health care according to contact type - a register-based study in Kainuu, Finland.

BACKGROUND: The study aim was to analyse how mental health services are used in different parts of the Kainuu region in Finland and whether travel time to primary health care services is associated with the use of different contact types (in-person visits, remote contacts, home visits). METHODS: The study population included adults who had used mental health services under primary health care (N = 7643) between 2015 and 2019. The travel times to the nearest health centre in a municipality were estimated as the population-weighted average drive time in postal code areas. The Kruskal-Wallis test and pairwise comparisons with Dunn-Bonferroni post hoc tests were used to assess the differences in mental health service use between health centre areas. A negative binomial regression was performed for the travel time categories using different contact types of mental health service use as outcomes. Models were adjusted for gender, age, number of mental health diseases and the nearest health centre in the municipality. RESULTS: Distance was negatively associated with mental health service use in health centre in-person visits and in home visits. In the adjusted models, there were 36% fewer in-person visits and 83% fewer home visits in distances further than 30 min, and 67% fewer home visits in a travel time distance of 15-30 min compared with 15 min travel time distance from a health centre. In the adjusted model, in remote contacts, the incidence rate ratios increased with distance, but the association was not statistically significant. CONCLUSIONS: The present study revealed significant differences in mental health service use in relation to travel time and contact type, indicating possible problems in providing services to distant areas. Long travel times can pose a barrier, especially for home care and in-person visits. Remote contacts may partly compensate for the barrier effects of long travel times in mental health services. Especially with conditions that call for the continuation and regularity of care, enabling factors, such as travel time, may be important.

The effect of a cluster-randomized controlled trial on lifestyle behaviors among families at risk for developing type 2 diabetes across Europe: the Feel4Diabetes-study.

BACKGROUND: This study investigated the effect of the Feel4Diabetes-intervention, a 2-year multilevel intervention, on energy balance-related behaviors among European families at risk for developing type 2 diabetes. Intervention effects on self-reported physical activity, sedentary behavior and eating behaviors were investigated across and within the participating countries: Belgium, Finland, Greece, Spain, Hungary and Bulgaria. METHODS: Families were recruited through schools, located in low socio-economic status areas. In total, 4484 families at risk for developing type 2 diabetes were selected using the FINDRISC-questionnaire. Parents' and children's energy balance-related behaviors data were collected by questionnaires at three time points (baseline, mid- and post intervention). Families assigned to the intervention group were invited to participate in a 2-year school-, community-, and family-based intervention to promote a healthier lifestyle, including counseling sessions (first intervention year) and text messages (second intervention year). Families assigned to the control group received standard care, including medical check-up results and recommendations and tips regarding a healthy lifestyle. To assess the intervention-effects, Mixed Models were conducted using the R-Package "lmer "with R v3.2. RESULTS: Significant intervention effects were found on a certain number of families' lifestyle behaviors. Significant favorable intervention effects were detected on parents' water consumption and consumption of fruit and vegetables, and on children's consumption of sweets and moderate-to-vigorous physical activity. Analyses by country revealed significant favorable intervention effects on water consumption and on moderate-to-vigorous physical activity in Belgian parents and on fruit and vegetable consumption among Belgian children, on sweets consumption among Spanish parents and children, and on moderate-to-vigorous physical activity among Finnish children. Unfavorable intervention effects were found on the consumption of soft drinks and sugar-containing juices among Hungarian children and parents, while when examining the intervention effects for the overall population and per country, 10 from the 112 investigated outcome variables were improved in the intervention group compared to the control group (9%). CONCLUSIONS: The Feel4Diabetes-intervention managed to improve a certain number of targeted lifestyle behaviors while the intervention was not effective on a large number of targeted lifestyle behaviors. The findings of the current study are encouraging, but further research is needed on how we can further improve effectiveness of lifestyle interventions to prevent type 2 diabetes in families at risk. TRIAL REGISTRATION: The Feel4Diabetes-study is registered with the clinical trials registry http://clinicaltrials.gov , ID: 643708.

The effect of the integration of health services on health care usage among patients with type 2 diabetes in North Karelia, Finland.

BACKGROUND: The need to improve the care of people with complex care requirements has been driving the reforms integrating care processes. This study examines the effect of the integration of health services on health care usage and the processes and outcomes of care among type 2 diabetes patients. METHODS: Data include all type 2 diabetes patients who lived in North Karelia, Finland, between 2014 and 2018. Health care contacts and glycated haemoglobin (HbA1c) measurements were obtained from the electronic health records. Logistic, Poisson and linear models with generalised estimating equations and the Friedman test were used to study the differences between years. RESULTS: The health care usage was highest in 2017, the first year of a new organisation, and smallest in the following year. Before the new organisation, the health care usage was lowest in 2014, being slightly higher compared with 2018. Between the last two years, the mean number of contacts per person declined from 3.25 to 2.88 (-0.37, p < 0.001). The decreasing pattern seen in total health care usage was most obvious among contacts with primary health care nurses. The number of contacts increased only among specialised care nurses between the last two years. The number of HbA1c measurements was also in its lowest in 2018 but in its highest in 2015. Between the years 2014 and 2018, the difference in the mean number of contacts was - 0.05 (p = 0.011) for those not measured, -0.02 (p = 0.225) for those measured and within the target level of HbA1c, and 0.12 (p = 0.001) for those measured and not at the target level of HbA1c. CONCLUSIONS: Health care integration first increased the health care usage but then brought it to a slightly lower level than before. The changes were most obvious in primary health care nurses' appointments, and no decline was observed in secondary-level care. Even though the numbers of HbA1c measurements and the proportion measured declined, measurements increased among those with poor glycaemic control. The observed changes might reflect the better targeting and more concordant services in different service units.

Effective strategies for childhood obesity prevention via school based, family involved interventions: a critical review for the development of the Feel4Diabetes-study school based component.

BACKGROUND: Although there are many interventions targeting childhood obesity prevention, only few have demonstrated positive results. The current review aimed to gather and evaluate available school-based intervention studies with family involvement targeting dietary, physical activity and sedentary behaviors among primary schoolchildren and their families, in order to identify the most effective strategies. METHODS: Studies published between 2000 and January 2015 were retrieved from scientific electronic databases and grey literature. The databases used included MEDLINE/PubMed, Web-of-Science, CINAHL and Scopus. Included studies had to be experimental controlled studies and had duration over 1 school year, had family involvement, combined PA and dietary behaviors and were implemented in school setting. A complementary search was executed to update the review to cover the period from February 2015 to January 2019. RESULTS: From the studies examined (n = 425), 27 intervention programs (33 publications) fulfilled the inclusion criteria. Among these, 15 presented significant effect on weight status and/ or overweight/ obesity or clinical indices, 3 presented significant effect on most energy balance-related behaviors (EBRBs) while 9 presented significant effect on some/few EBRBs or determinants. Strategies implemented in effective interventions were: teachers acting as role-models and being actively involved in the delivery of the intervention, school policies supporting the availability of healthy food and beverage choices and limiting unhealthy snacks, changes in the schoolyard, in the recess rules and in the physical education classes to increase physical activity, and involving parents in the intervention via assignments, meetings, informative material and encouraging them to improve the home environment. Use of incentives for children, social marketing techniques, collaboration with local stakeholders were found to increase effectiveness. Programs that focused only on educational sessions and material for parents, without promoting relevant environmental and policy changes, were found to be less effective. Cultural adaptations have been suggested to increase the intervention's acceptance in specific or vulnerable population groups. CONCLUSIONS: Several effective strategies were identified in the reviewed programs. Outcomes of the current review were taken into account in developing the Feel4Diabetes-intervention and summed up as recommendations in the current work in order to facilitate other researchers designing similar childhood obesity prevention initiatives.

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.

Sociodemographic and lifestyle-related risk factors for identifying vulnerable groups for type 2 diabetes: a narrative review with emphasis on data from Europe.

BACKGROUND: Type 2 diabetes mellitus (T2DM) comprises the vast majority of all diabetes cases in adults, with alarmingly increasing prevalence over the past few decades worldwide. A particularly heavy healthcare burden of diabetes is noted in Europe, where 8.8% of the population aged 20-79 years is estimated to have diabetes according to the International Diabetes Federation. Multiple risk factors are implicated in the pathogenesis of T2DM with complex underlying interplay and intricate gene-environment interactions. Thus, intense research has been focused on studying the role of T2DM risk factors and on identifying vulnerable groups for T2DM in the general population which can then be targeted for prevention interventions. METHODS: For this narrative review, we conducted a comprehensive search of the existing literature on T2DM risk factors, focusing on studies in adult cohorts from European countries which were published in English after January 2000. RESULTS: Multiple lifestyle-related and sociodemographic factors were identified as related to high T2DM risk, including age, ethnicity, family history, low socioeconomic status, obesity, metabolic syndrome and each of its components, as well as certain unhealthy lifestyle behaviors. As Europe has an increasingly aging population, multiple migrant and ethnic minority groups and significant socioeconomic diversity both within and across different countries, this review focuses not only on modifiable T2DM risk factors, but also on the impact of pertinent demographic and socioeconomic factors. CONCLUSION: In addition to other T2DM risk factors, low socioeconomic status can significantly increase the risk for prediabetes and T2DM, but is often overlooked. In multinational and multicultural regions such as Europe, a holistic approach, which will take into account both traditional and socioeconomic/socioecological factors, is becoming increasingly crucial in order to implement multidimensional public health programs and integrated community-based interventions for effective T2DM prevention.

Methodology of the health economic evaluation of the Feel4Diabetes-study.

BACKGROUND: The clinical and economic burden of type 2 diabetes mellitus on society is rising. Effective and efficient preventive measures may stop the increasing prevalence, given that type 2 diabetes mellitus is mainly a lifestyle-driven disease. The Feel4Diabetes-study aimed to tackle unhealthy lifestyle (unhealthy diet, lack of physical activity, sedentary behaviour, and excess weight) of families with a child in the first grades of elementary school. These schools were located in regions with a relatively low socio-economic status in Belgium, Bulgaria, Finland, Greece, Hungary and Spain. Special attention was paid to families with a high risk of developing type 2 diabetes mellitus. METHODS: The aim of this paper is to describe the detailed methodology of the intervention's cost-effectiveness analysis. Based on the health economic evaluation of the Toybox-study, both a decision analytic part and a Markov model have been designed to assess the long-term (time horizon of 70 year with one-year cycles) intervention's value for money. Data sources used for the calculation of health state incidences, transition probabilities between health states, health state costs, and health state utilities are listed. Intervention-related costs were collected by questionnaires and diaries, and attributed to either all families or high risk families only. CONCLUSIONS: The optimal use of limited resources is pivotal. The future results of the health economic evaluation of the Feel4Diabetes-study will contribute to the efficient use of those resources.

Obtaining evidence base for the development of Feel4Diabetes intervention to prevent type 2 diabetes - a narrative literature review.

BACKGROUND: Feel4Diabetes was a school and community based intervention aiming to promote healthy lifestyle and tackle obesity for the prevention of type 2 diabetes among families in 6 European countries. We conducted this literature review in order to guide the development of evidence-based implementation of the Feel4Diabetes intervention. We focused on type 2 diabetes prevention strategies, including all the phases from risk identification to implementation and maintenance. Special focus was given to prevention among vulnerable groups and people under 45 years. METHODS: Scientific and grey literature published between January 2000 and January 2015 was searched for relevant studies using electronic databases. To present the literature review findings in a systematic way, we used the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. A complementary literature search from February 2015 to December 2018 was also conducted. RESULTS: The initial review included 27 studies with a follow-up ≥12 months and 9 studies with a follow-up ≥6 months and with a participant mean age < 45 years. We found out that interventions should be targeted at people at risk to improve recruiting and intervention effectiveness. Screening questionnaires (primarily Finnish Diabetes Risk Score FINDRISC) and blood glucose measurement can both be used for screening; the method does not appear to affect intervention effectiveness. Screening and recruitment is time-consuming, especially when targeting lower socioeconomic status and age under 45 years. The intervention intensity is more important for effectiveness than the mode of delivery. Moderate changes in several lifestyle habits lead to good intervention results. A minimum of 3-year follow-up seemed to be required to show a reduction in diabetes risk in high-risk individuals. In participants < 45 years, the achieved results in outcomes were less pronounced. The complementary review included 12 studies, with similar results regarding intervention targets and delivery modes, as well as clinical significance. CONCLUSION: This narrative review highlighted several important aspects that subsequently guided the development of the Feel4Diabetes high-risk intervention. Research on diabetes prevention interventions targeted at younger adults or vulnerable population groups is still relatively scarce. Feel4Diabetes is a good example of a project aiming to fill this research gap. TRIAL REGISTRATION: clinicaltrials.gov NCT02393872, registered 20th March 2015.

Intra- and inter- observer reliability of anthropometric measurements and blood pressure in primary schoolchildren and adults: the Feel4Diabetes-study.

BACKGROUND: Feel4Diabetes was a large-scale, multicenter lifestyle intervention aiming to prevent type 2 diabetes among families from vulnerable population groups in six European countries (Belgium, Bulgaria, Finland, Greece, Hungary and Spain). The current study aimed to describe the process that was followed to harmonize and standardize the measurement of anthropometric (weight, height and waist circumference) and blood pressure (systolic and diastolic) indices, as well as to assess the intra- and inter- observer reliability of these measurements. METHODS: A central training workshop was conducted prior to the baseline measurements of the Feel4Diabetes-intervention. One researcher from each intervention country, as well as 12 adults and 12 children (for the anthropometric measurements) and 21 adults (for the blood pressure measurements) participated in this workshop. Technical Error of Measurement (TEM) and reliability (%R) were calculated to assess the reliability of the indices which were assessed to evaluate the outcome of the Feel4Diabetes-intervention. The Feel4Diabetes-intervention is registered at https://clinicaltrials.gov/ (NCT02393872). RESULTS: Intra-observer reliability was found to be higher than 99.5% for all anthropometric measurements in both children and adults. Inter-observer reliability was found to be higher than 98% regarding the anthropometric measurements, while for blood pressure measurements %R was 76.62 and 91.38% for systolic and diastolic blood pressure measurements, respectively. CONCLUSION: The central training of the Fee4Diabetes-intervention ensured that the data collected for the outcome evaluation of the Feel4Diabetes-intervention in the six European countries at three different time points (baseline, follow-up 1 and follow-up 2) were valid and comparable.

Effectiveness of a family-, school- and community-based intervention on physical activity and its correlates in Belgian families with an increased risk for type 2 diabetes mellitus: the Feel4Diabetes-study.

BACKGROUND: The study aimed to investigate the effectiveness of the European Feel4Diabetes intervention, promoting a healthy lifestyle, on physical activity and its correlates among families at risk for type 2 diabetes mellitus (based on the Finnish Diabetes Risk Score) in Belgium. METHODS: The Feel4Diabetes intervention involved three components: family, school and community component, with the family component consisting of 6 counseling sessions for families at risk. Main outcomes were objectively measured physical activity levels and its subjectively measured correlates. The final sample consisted of 454 parents (mean age 39.4 years; 72.0% women) and 444 children (mean age 8.0 years; 50.1% girls). Multilevel repeated measures analyses were performed to assess intervention effectiveness after 1 year. RESULTS: In parents, there was no significant intervention effect. In children, there were only significant negative effects for moderate to vigorous physical activity (p = 0.05; ηp2 = 0.008) and steps (p = 0.03; ηp2 = 0.006%) on weekdays, with physical activity decreasing (more) in the intervention group. CONCLUSIONS: The F4D-intervention lacks effectiveness on high-risk families' physical activity and its correlates in Belgium. This could partially be explained by low attendance rates and a large drop-out. To reach vulnerable populations, future interventions should invest in more appropriate recruitment (e.g. more face-to-face contact) and more bottom-up development of the intervention (i.e. co-creation of the intervention with the target group). TRIAL REGISTRATION: The Feel4Diabetes-study was prospectively registered at clinicaltrials.gov as NCT02393872 on 20 March 2015.

Trends in the process and outcome indicators of type 2 diabetes care: a cohort study from Eastern Finland, 2012-2017.

BACKGROUND: Evidence-based guidelines include concrete treatment targets that can be used as process and outcome indicators in the evaluation of the quality of healthcare services and diabetes care. Quality improvement can be evaluated by monitoring longitudinal trends in the care indicators on the system level. The aim of this study is to describe trends in the processes and outcomes of care among people with type 2 diabetes in North Karelia, Finland. METHODS: The data consist of all adults with type 2 diabetes (identified from the EHRs using ICD-10 codes) who used primary or specialized care services in North Karelia during 2012-2017. The diabetes care was evaluated using the measurement activity, treatment levels, and the achievement of the treatment targets for HbA1c and LDL as care indicators. Logistic and linear models with generalized estimating equations were used to assess the differences between years, sexes, and age groups. RESULTS: The proportion of patients with annual measurement varied between 75.8 and 78.1% for HbA1c and between 67.4 and 69.1% for LDL during a five-year follow-up. The changes in average levels were moderate: a 0.2% (2 mmol/mol) increase for HbA1c and a 0.1 mmol/l decrease for LDL. Anyway, the proportion of patients meeting the treatment target for HbA1c decreased from 72.7 to 67.3% (age-adjusted decrease: 5.7%p, 95% CI: 4.5-6.9) and for LDL it increased from 53.4 to 59.5% (age-adjusted increase: 5.6%p, 95% CI: 4.2-7.0). Women were measured and met the HbA1c target level more often compared with men. Conversely, men met the LDL target level more often than women, and the age-adjusted difference between sexes increased smoothly from 7.9%p to 11.7%p. CONCLUSIONS: The achievements in relation to type 2 diabetes care in North Karelia are very good, but no major improvement was observed during follow-up. HbA1c levels had a rising tendency and LDL levels declining tendency indicating quality improvement in LDL management, but challenges in further improvement in glucose control.

Maintenance of good glycaemic control is challenging - A cohort study of type 2 diabetes patient in North Karelia, Finland.

AIMS: This study assessed type 2 diabetes treatment outcomes and process indicators using a comprehensive type 2 diabetes patient cohort in North Karelia, Finland, from 2011 to 2016. METHODS: Data from all diagnosed type 2 diabetes patients (n = 8429) living in North Karelia were collated retrospectively from regional electronic patient records. We assessed whether HbA1c and low-density lipoprotein (LDL) were measured and managed as recommended. RESULTS: The HbA1c measurement rate improved (78% vs 89%) during 2011-2012 and 2015-2016, but a gradual deterioration in glycaemic control (HbA1c < 7.0% or 53 mmol/mol) was observed among both females (75% vs 67%) and males (72% vs 64%). The LDL measurement rate initially improved from the baseline. LDL control (<2.5 mmol/L) improved among both females (52% vs 59%) and males (58% vs 66%). A gender difference was observed in the achievement of the treatment target for LDL, with females showing worse control. CONCLUSIONS: Low-density lipoprotein (LDL) control in type 2 diabetes patients has improved, but the existence of gender disparities needs further attention. Maintaining appropriate HbA1c control among type 2 diabetes patients over time appears to be difficult. Active follow-up and tailored treatment have the potential to improve the quality of care. Electronic patient records could be more efficiently used to improve the quality of care and to support decision-making.