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.

Trajectories of Body Mass Index and Risk for Diabetes Complications and All-Cause Mortality in Finnish Type 2 Diabetes Patients.

Objective: We aimed to assess how longitudinal body mass index (BMI) trajectories are associated with diabetes complications and all-cause mortality in Finnish patients with type 2 diabetes (T2D). Methods: In this cohort study, electronic health records from public primary and specialized healthcare services in all 13 municipalities of North Karelia, Finland, were utilized. This study included a total of 889 adults with newly diagnosed T2D in 2011 or 2012 (mean age at baseline 62.0 years). Individual BMI trajectories from the T2D diagnosis until 2014 were estimated and grouped by growth mixture modeling (GMM). Hazard ratios (HRs) with 95% confidence intervals (CIs) for microvascular complications, macrovascular complications, any diabetes complications, and all-cause mortality from 2015 to 2022 across BMI trajectory groups were estimated using Cox regression models. Results: Three distinct BMI trajectory groups were identified using GMM and labeled as follows: "stable" (n = 774, 87.1%), "decreasing" (n = 87, 9.8%), and "increasing" (n = 28, 3.1%). During a median follow-up of 8 years, there were 119 (13.3%) patients with microvascular complications, 187 (21.0%) with macrovascular complications, 258 (29.0%) with any diabetes complications, and 180 (20.2%) deaths. Compared with the "stable" BMI, the "increasing" BMI was associated with an increased risk of microvascular complications (HR = 2.88, 95% CI: 1.32 to 6.28), macrovascular complications (HR = 2.52, 95% CI: 1.17 to 5.43), and any diabetes complications (HR = 2.21, 95% CI: 1.16 to 4.20). The "decreasing" BMI was associated with an increased risk of all-cause mortality (HR = 1.90, 95% CI: 1.14 to 3.15), compared to the "stable" BMI. Conclusion: Our findings underscore the significance of continuous BMI monitoring and weight management in patients with T2D. Tailored treatments are crucial for efficiently preventing weight gain and reducing the risk of diabetes complications.

Consistent service use before the COVID-19 pandemic predicted the continuity of face-to-face appointments during the lockdown among type 2 diabetes patients.

INTRODUCTION: The COVID-19 pandemic affected diabetes care among type 2 diabetes (T2D) patients. However, it is not known whether the observed changes in care concern all T2D patients equally. We examined the changes in health service usage and treatment outcomes among T2D patients according to the pre-pandemic follow-up activity. METHODS: We analysed electronic health records of 11 083 T2D patients in North Karelia, Finland (March 2017-March 2021), categorizing them by pre-pandemic T2D-related in-person contact frequency. We focused on HbA1c and LDL measurement activity and treatment targets as care indicators. RESULTS: Overall, health service usage and recording rates for HbA1c and LDL decreased during the pandemic. They decreased most but stayed at the highest level among patients with the most consistent pre-pandemic face-to-face service use, characterised by the highest proportion of comorbidities and elevated HbA1c. Their treatment outcomes were not negatively affected. In contrast, service usage and measurement activities increased among those with no pre-pandemic contact. CONCLUSION: Those with consistent pre-pandemic service use and greater service needs were more likely to seek face-to-face care despite the lockdown, and no negative effect on treatment outcomes was seen.

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.

Differences in Anthropometric Parameters of Children in Six European Countries.

BACKGROUND: The databases of children's anthropometric parameters are often outdated, rarely representative and are not always available at an international level. OBJECTIVES: To present children's anthropometric parameters in six European countries that contributed to the Feel4Diabetes project and find country-specific differences. DESIGN/SETTING: The Feel4Diabetes study was performed between 2016 and 2018, targeting children in Belgium, Bulgaria, Finland, Greece, Hungary and Spain. The current study presents data from the baseline and the yearly follow-up anthropometric measurements. SUBJECTS: In total, 20,832 measurements of children (48.7% boys) between 6 and 10 years of age were conducted. MAIN OUTCOME MEASURE: weight, height, BMI. RESULTS: Belgian boys had the lowest body weight and height, while Greek boys had the highest body weight, and Finnish had the highest body height. The highest proportion of overweight (percentile above 85%) and obese boys (percentile above 95%) was in Greece, followed by Hungarian, Spanish, Bulgarian and Finnish boys. In contrast, Belgian boys had the lowest ratio in both categories. Among girls, Greece had the highest; Belgium had the lowest body weight; Finland was the highest in all age categories. The ratio in the overweight range was the highest in Greece, followed by Spanish, Bulgarian and Hungarian girls, who were second in the obese category. Finnish girls had lower and Belgian girls had the lowest ratio in both BMI categories. All the detailed data are presented in tables, and the trends are figures. CONCLUSIONS: Our study presents fresh and comparable anthropometric data of children between 6 and 10 years of age in six European countries, supporting the need for appropriate obesity prevention.

The Emerging Prevalence of Obesity within Families in Europe and its Associations with Family Socio-Demographic Characteristics and Lifestyle Factors; A Cross-Sectional Analysis of Baseline Data from the Feel4Diabetes Study.

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.

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.

Do parental risk factors for type 2 diabetes predict offspring risk of overweight and obesity? The Feel4Diabetes study.

OBJECTIVES: The prevention of children being overweight/obese is of utmost importance. Parental characteristics play a pivotal role in shaping offspring weight status. This study aimed to examine associations between parental obesity and children's overweight/obesity status, and whether other parental type 2 diabetes (T2D) risk factors can predict children's obesity status. METHODS: Logistic regression and receiver operating characteristic (ROC) analyses were conducted, using cross-sectional data from a European cohort of 20 151 adults (10 967 mothers; 9184 fathers) and children (n = 10 967) participating in the Feel4Diabetes study. Anthropometric measurements were conducted in children, and overweight/obesity was defined according to the International Obesity Task Force criteria. Parents' T2D risk was assessed applying the Finnish Diabetes Risk Score (FINDRISC). RESULTS: After adjusting for all other FINDRISC variables, region and maternal/parental education, maternal (adjusted odds ratio [aOR]: 2.64; 95% confidence interval [CI], 2.18-3.20) and parental (aOR: 3.21; 95% CI, 2.65-3.91) obesity, maternal (aOR: 1.46; 95% CI, 1.23-1.74) and parental (aOR: 1.59; 95% CI, 1.32-1.92) high waist circumference, as well as maternal (aOR: 1.60; 95% CI, 1.27-2.01) and parental (aOR: 1.87; 95% CI, 1.58-2.21) high FINDRISC score, were associated with child overweight/obesity status. Maternal (area under the curve- ROC: 0.638; 95% CI, 0.628-0.647) and paternal body mass index (BMI; area under the curve-ROC: 0.632; 95% CI, 0.622-0.642) were the most accurate in predicting child overweight/obesity status. CONCLUSIONS: Among parental risk factors for T2D, maternal/parental overweight/obesity status, central obesity, and high FINDRISC score were the main predictors of childhood overweight/obesity status, with BMI the most accurate. Maternal or paternal BMI is simple to use, and might be useful for the early identification of children at risk of being overweight/obese rather than other T2D factors.

Mode of treatments and achievement of treatment targets among type 2 diabetes patients with different comorbidities - a register-based retrospective cohort study in Finland.

AIMS: Type 2 diabetes (T2D) is a progressive disease often associated with comorbidities that complicate the management of T2D and affect the achievement of treatment targets. However, adherence to guidelines and individualized treatments can potentially improve treatment outcomes. This study assessed the association between different glucose lowering and lipid lowering medication lines and the achievement of treatment targets with different comorbidities among a T2D cohort in North Karelia, Finland (2011-12 to 2015-16). METHODS: The data on all diagnosed T2D patients (n = 10,190) in North Karelia were collated retrospectively from regional electronic health records (EHRs). Analyses were performed considering the age, sex, and comorbidities such as cardiovascular diseases (CVD) and any mental disorders (AMD). We analyzed the trends in using glucose lowering and lipid lowering medications and the effect of changes in medication on the achievement of treatment targets among different patient groups. RESULTS: Metformin was the most common treatment in all patient groups. The use of only metformin declined and the use of metformin and/or other non-insulin medications increased during the follow-up. A Combination of insulin and non-insulin medication was mostly used by T2D patients with both cardiovascular diseases and mental disorders (T2D + CVD + AMD), and the use of insulin increased among this group in follow-up. Achievement of the glucose treatment target deteriorated even after the intensification of medication among all patient groups during the follow-up. A considerably higher number of patients with T2D + AMD and T2D + CVD + AMD did not use lipid lowering medication when compared to the T2D + CVD patients both at baseline and follow-up. However, the achievement of the LDL treatment target improved during the follow-up. CONCLUSION: Achievement of the glucose target deteriorated even after the intensification of treatment, and especially among patients with multiple diseases. Many T2D patients with AMD and CVD remained without lipid lowering medication, which needs further attention.

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.

Prevalence and Socioeconomic Correlates of Adult Obesity in Europe: The Feel4Diabetes Study.

To effectively tackle obesity, it is necessary to identify all specific socioeconomic factors which contribute to its development. We aimed to highlight the prevalence of adult overweight/obesity in European countries and investigate the association of various socioeconomic factors and their accumulative effect on overweight/obesity status. Cross-sectional data from the Feel4Diabetes study for 24,562 adults residing in low socioeconomic areas were collected, representing Belgium, Finland, Greece, Spain, Bulgaria, and Hungary. Socioeconomic Burden Score (SEBS) was created, accounting for unemployment, financial insecurity, and education ≤ 12 years. Data were analyzed using analysis of variance and logistic regression. In total, 19,063 adults with complete data were included (34.5% overweight and 15.8% obese). The highest overweight/obesity rates occurred in Greece (37.5%/17.8%) and Hungary (35.4%/19.7%). After adjusting for confounders, age of <45 years and female sex were inversely associated with overweight/obesity, while low educational level (≤12 years), unemployment, and financial insecurity were positively associated. The increase in SEBS (clustering of socioeconomic disadvantages) was associated with increased overweight/obesity likelihood. This association of SEBS scores with overweight/obesity was evident for males and females across all examined countries, excluding males in low-income countries (Bulgaria and Hungary), where the highest SEBS score was inversely associated with overweight/obesity. The clustering burden of socioeconomic disadvantages on overweight/obesity was found to be influenced by the countries' economic state and sex.

How do the home food environment, parenting practices, health beliefs, and screen time affect the weight status of European children? The Feel4Diabetes Study.

BACKGROUND: Childhood obesity remains one of the most significant challenges in public health globally. OBJECTIVE: The aim of this study was to assess the association between home food availability, parenting practices, health beliefs, screen time, and childhood overweight/obesity. METHODS: This was a cross-sectional analysis of 12 041 parent-child dyads from six European countries. Details on the home food environment, parenting practices, health beliefs, and digital devices were collected by questionnaires. RESULTS: Permissive parenting or rewarding children with screen time at a frequency of rarely/never and parents disagreeing with the statement "I believe that people have little power to prevent disease" were negatively associated with childhood overweight/obesity; whereas being "physically active with my child" rarely/never was positively associated. Regarding the home environment, the availability of fruit rarely/never was positively associated with childhood overweight/obesity, whereas the absence of digital devices in the child's room was negatively associated. CONCLUSION: Findings from the present study suggested that future school- and community-based initiatives in Europe that aim to prevent childhood obesity should also target the home environment, parenting beliefs, and practices. Programs designed to educate, facilitate, and support parents to adopt a healthy and active lifestyle with their children would empower parents to be agents of good role models and are probably the most efficient ways forward to tackle the childhood obesity epidemic. Future longitudinal intervention studies are needed to confirm the long-term efficacy of positive parenting in reducing childhood overweight/obesity.

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.

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.

Associations between soft-drink consumption and lifestyle patterns in overweight and obese European adults: Feel4Diabetes Study.

OBJECTIVES: The purpose of this study was to identify lifestyle patterns that are characteristic of overweight and obese European adults in the context of educational level. METHODS: This was a cross-sectional study of dietary data from 1235 men and 10 343 women. Dietary intake, educational level, and physical activity were assessed using questionnaires. A principal component analysis was used to derive lifestyle patterns, and associations with being overweight or obese (OW/OB) and waist circumference (WC) were explored by applying a multivariate logistic regression. RESULTS: Overall, 35% of women and 68% of men were OW/OB, of whom 30% and 40%, respectively, had ≤12 y of education. The principal component analysis derived 2 distinct dietary patterns (healthy vs. unhealthy). The daily intake of fruits (fresh, canned, and juice) and vegetables was found to be associated with lower odds of being OW/OB and WC in women only. In contrast, the daily intake of diet soft drinks was associated with higher odds of being OW/OB in women and men, but the daily intake of sweets was associated with higher odds of WC in women only. In both sexes, having >12 y of education was inversely associated with being OW/OB. No associations were observed for regular soft-drink intake. CONCLUSIONS: A healthy dietary pattern constituting of a daily intake of fruits and vegetables was inversely associated with being OW/OB in women. Conversely, a diet soft-drink intake was positively associated with being OW/OB in both sexes, probably because of a reduction in overall energy intake. More studies are recommended to clarify the effectiveness of diet soft-drink consumption in controlling caloric intake and as a healthier alternative to regular soft drinks and sweets.

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.

Clustering Diagnoses From 58 Million Patient Visits in Finland Between 2015 and 2018.

BACKGROUND: Multiple chronic diseases in patients are a major burden on the health service system. Currently, diseases are mostly treated separately without paying sufficient attention to their relationships, which results in the fragmentation of the care process. The better integration of services can lead to the more effective organization of the overall health care system. OBJECTIVE: This study aimed to analyze the connections between diseases based on their co-occurrences to support decision-makers in better organizing health care services. METHODS: We performed a cluster analysis of diagnoses by using data from the Finnish Health Care Registers for primary and specialized health care visits and inpatient care. The target population of this study comprised those 3.8 million individuals (3,835,531/5,487,308, 69.90% of the whole population) aged ≥18 years who used health care services from the years 2015 to 2018. They had a total of 58 million visits. Clustering was performed based on the co-occurrence of diagnoses. The more the same pair of diagnoses appeared in the records of the same patients, the more the diagnoses correlated with each other. On the basis of the co-occurrences, we calculated the relative risk of each pair of diagnoses and clustered the data by using a graph-based clustering algorithm called the M-algorithm-a variant of k-means. RESULTS: The results revealed multimorbidity clusters, of which some were expected (eg, one representing hypertensive and cardiovascular diseases). Other clusters were more unexpected, such as the cluster containing lower respiratory tract diseases and systemic connective tissue disorders. The annual cost of all clusters was €10.0 billion, and the costliest cluster was cardiovascular and metabolic problems, costing €2.3 billion. CONCLUSIONS: The method and the achieved results provide new insights into identifying key multimorbidity groups, especially those resulting in burden and costs in health care services.

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.

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.