Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up.

Background: Ageing of the population increases the prevalence and coexistence of many chronic diseases; a condition called multimorbidity. In Finland, information on the significance of multimorbidity and its relation to the sustainability of healthcare is scarce. Aim: To assess the prevalence of multimorbidity, the transitions between patient groups with and without multiple diseases and the associated healthcare cost in Finland in 2017-2019. Methods: A register-based cohort study covering all adults (n = 3,326,467) who used Finnish primary or specialised healthcare services in 2017. At baseline, patients were classified as 'non-multimorbid', 'multimorbid' or 'multimorbid at risk' based on the recordings of a diagnosis of interest. The costs were calculated using the care-related patient grouping and national standard rates. Transition plots were drawn to observe the transition of patients and costs between groups during the two-year follow-up. Results: At baseline, 62% of patients were non-multimorbid, 23% multimorbid and 15% multimorbid at risk. In two years, the proportion of multimorbid patients increased, especially those at risk. Within the multimorbid at-risk group, total healthcare costs were greatest (€5,027 million), accounting for 62% of the total healthcare cost of the overall patient cohort in 2019. Musculoskeletal diseases, cardiometabolic diseases and tumours were the most common and expensive chronic diseases contributing to the onset of multimorbidity. Conclusion: Multimorbidity is causing a heavy burden on Finnish healthcare. The estimates of its effect on healthcare usage and costs should be used to guide healthcare planning.

Socioeconomic vulnerabilities and food intake in European children: The Feel4Diabetes Study.

OBJECTIVES: Socioeconomic inequalities create substantial burdens influencing children's health status and diet quality. The aim of this study was to investigate the association between cumulative socioeconomic vulnerabilities and differences in the food intake of children. METHODS: This was a cross-sectional analysis of baseline data from 12 041 European parent-child dyads (children were 5-12 y of age with 49% boys) enrolled in the Feel4 Diabetes study. Parents completed standardized questionnaires to record details on socioeconomic status (SES), demographic, and children's frequency of food and beverage intake. Vulnerable groups were defined as children whose parents had <12 y of education, were unemployed, or reported difficult household income security. A cumulative SES vulnerability score (range 0-4) was created by adding the number of vulnerabilities a child was exposed to. RESULTS: Logistic regression showed that children with the highest SES vulnerability score were less likely to consume water (odds ratio [OR], 0.42; 95% confidence interval [CI], 0.30-0.59), fresh fruit (OR, 0.66; 95% CI, 0.56-0.78) and vegetables (OR, 0.67; 95% CI, 0.56-0.81) daily in comparison with those with no SES vulnerabilities, whereas they were more likely to consume canned fruit (OR, 2.30; 95% CI, 1.64-3.24), fruit juice (OR, 1.42; 95% CI, 1.14-1.77), soft drinks (regular: OR, 4.85; 95% CI, 3.85-6.10; diet: OR, 4.81; 95% CI, 3.28-7.06), and salty snacks/fast food (OR, 3.92; 95% CI, 3.05-5.04) daily, after adjusting for children's age, sex, country, and weight status. CONCLUSION: The findings of this study highlighted that an unhealthy dietary profile was characteristic of European children in families with a high number of SES vulnerabilities. School-based public health programs promoting healthy eating in children should prioritize families with cumulative SES vulnerabilities.

Development and Validation of Two Self-Reported Tools for Insulin Resistance and Hypertension Risk Assessment in A European Cohort: The Feel4Diabetes-Study.

Early identification of type 2 diabetes mellitus (T2DM) and hypertension (HTN) risk may improve prevention and promote public health. Implementation of self-reported scores for risk assessment provides an alternative cost-effective tool. The study aimed to develop and validate two easy-to-apply screening tools identifying high-risk individuals for insulin resistance (IR) and HTN in a European cohort. Sociodemographic, lifestyle, anthropometric and clinical data obtained from 1581 and 1350 adults (baseline data from the Feel4Diabetes-study) were used for the European IR and the European HTN risk assessment index respectively. Body mass index, waist circumference, sex, age, breakfast consumption, alcohol, legumes and sugary drinks intake, physical activity and sedentary behavior were significantly correlated with Homeostatic Model Assessment of IR (HOMA-IR) and/or HTN and incorporated in the two models. For the IR index, the Area Under the Curve (AUC), sensitivity and specificity for identifying individuals above the 75th and 95th of HOMA-IR percentiles were 0.768 (95%CI: 0.721-0.815), 0.720 and 0.691 and 0.828 (95%CI: 0.766-0.890), 0.696 and 0.778 respectively. For the HTN index, the AUC, sensitivity and specificity were 0.778 (95%CI: 0.680-0.876), 0.667 and 0.797. The developed risk assessment tools are easy-to-apply, valid, and low-cost, identifying European adults at high risk for developing T2DM or having HTN.

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.

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.

Secular trends and educational differences in the incidence of type 2 diabetes in Finland, 1972-2007.

Type 2 diabetes prevalence is rising globally, and varies by socio-economic position. Amongst other factors, rising prevalence may reflect increasing incidence. Worldwide, few studies have examined population-level longitudinal trends in incident type 2 diabetes, and reports on secular trends in diabetes incidence by socio-economic measures such as educational attainment are lacking. Finland has a long-standing, comprehensive disease surveillance infrastructure. Using data collected over four decades from serial FINRISK surveys, the National Drug Reimbursement Register and the National Causes of Death Register, we examined secular trends in type 2 diabetes incidence in Finland from the 1970s to 2007. The diabetes status of 38,689 FINRISK participants aged 30-59 years at baseline assessment and without diagnosed diabetes at the time was followed for 10 years. Among men, incidence of diagnosed, pharmacologically managed type 2 diabetes increased over time. Compared with men surveyed in the 1970s, diabetes incidence was higher among men in the 1980s (adjusted HR 1.44, 95% CI 1.13-1.84) and 1990s (adjusted HR 1.72, 1.32-2.24). Body mass index explained some, but not all of this variation. Increases occurred predominantly among men with low (adjusted HR 1980s: 2.07, 95% CI 1.28-3.35; adjusted HR 1990s: 2.12, 95% CI 1.28-3.53) and middle (adjusted HR 1980s: 1.30, 95% CI 0.85-1.99; adjusted HR 1990s: 1.65, 95% CI 1.05-2.60) educational attainment. No secular changes were apparent among women. This rising diabetes incidence among men over recent decades has occurred despite Finland's sustained health promotion efforts. Renewed public health campaigns are urgently required. In addition to population-level initiatives, lower educational strata should be specifically targeted.

Socio-economic differences in dysglycemia and lifestyle-related risk factors in the Finnish middle-aged population.

BACKGROUND: The aim of this study was to investigate the association of socio-economic status (SES) with dysglycemia and the lifestyle-related risk factors, and to analyze to which extent known risk factors explain socio-economic differences in diabetes risk. METHODS: Two population-based cross-sectional surveys in Finland including 1696 men and 1946 women aged 45-64 years who participated in a health examination in 2004 or 2007. Dysglycemia was determined by an oral glucose tolerance test. Total type 2 diabetes (including previously known and screen-detected type 2 diabetes), impaired glucose tolerance and impaired fasting glucose formed the category of total dysglycemia. Questionnaires and clinical examination were completed to assess risk factors for dysglycemia. SES was defined by education and household income. RESULTS: In both genders, the prevalence of total dysglycemia differed statistically significantly between educational groups. Low education was statistically significantly associated with higher risk of total type 2 diabetes in women. The household income level was inversely associated with total type 2 diabetes in women and with total dysglycemia in men. Obesity, unhealthy diet and smoking were all inversely related to SES in both men and women. The observed association between education and dysglycemia was slightly attenuated after adjustment for obesity and other risk factors for diabetes. CONCLUSIONS: Low education was associated with an increased risk of dysglycemia more strongly than the low household income. Risk factors, especially obesity, explained only partly the observed associations between dysglycemia and education.