key: cord-274548-yeucn13x authors: Altobelli, Emma; Angeletti, Paolo Matteo; Profeta, Valerio F.; Petrocelli, Reimondo title: Lifestyle Risk Factors for Type 2 Diabetes Mellitus and National Diabetes Care Systems in European Countries date: 2020-09-13 journal: Nutrients DOI: 10.3390/nu12092806 sha: doc_id: 274548 cord_uid: yeucn13x Background. Diabetes is increasing by 3.09% per year in males and 1.92% in females. Lifestyle risk factors are related to diabetes. The aim of this work is to highlight within EU-28 countries the distribution percentages of some lifestyle risk factors and some components of diabetes health care. Methods. A literature search was conducted to highlight the presence of diabetes registries, which are fundamental tools for disease surveillance and health planning; the presence of a national diabetes plan (NDP); the care setting; and methods used for reimbursement of drugs, devices, and coverage of any comorbidities associated with diabetes. A multiple correspondence analysis (MCA) was carried out to evaluate the possible associations between the variables considered. Results. The highest percentages of diabetes (>10%) are registered in Bulgaria, Malta, and Hungary. Concerning the prevalence of overweight, no European country shows overall percentages of less than 50%. Regarding obesity, 57% of countries show prevalence rates of 25%. The record for physical inactivity belongs to Malta, with 45% of individuals being inactive. The percentage of physical inactivity for females is higher than for males across Europe. In total, 57% of the countries have an insurance-based health system, while 12 countries have public national health systems. Further, 57% of countries have an NDP, while 42% of the EU countries have established a prevalence register for diabetes. Conclusions. Prevalence rates for type 2 DM in the range of 8–9% are noted in 50% of EU-28 countries. In total, 21 out of EU countries show a high prevalence rate for overweight, while 7% of EU-28 countries have an obesity prevalence rate of 25%. Diabetes treatment is entrusted to general practitioners in most countries. The results of this work highlight the differences between countries, but also between genders. Type 2 diabetes mellitus represents the paradigm of chronic diseases in which there is a close association between family and environmental factors. It is now a health problem with enormous global impact, with estimates of continuous growth [1] . An important universally recognized risk factor is high calorie intake with limited intake of fiber, which results in an increased accumulation of visceral fat, an increase in body mass index (BMI), and increase in abdominal circumference [2] . Table 1 and Figures 1 and 2 summarize the information related to the income and distribution percentages of the following risk factors: overweight, obesity, physical inactivity, and type 2 diabetes. Data came from Eurostat datasets [32] and we used the Map Creator 2 software to build the maps (Figures 1 and 2) . A literature search was conducted to highlight the presence of diabetes registries as fundamental tools for disease surveillance and health planning ( A literature search was conducted to highlight the presence of diabetes registries as fundamental tools for disease surveillance and health planning ( Table 2 ). The keywords used were registries OR incidence OR prevalence AND diabetes mellitus; insulin-dependent registries OR incidence OR population based AND diabetes mellitus, insulin-dependent; "Prevalence" OR "Registries" OR "Population Based" AND "Diabetes Mellitus, Type 2" AND "Epidemiology"; considering publications from the last 10 years, in English, over 19 years of age. The PRISMA [33] method was used to select bibliographic entries ( Figure 3 ). Only references to type 2 diabetes registries were selected. The data covered the type of health system, presence or absence of a national diabetes plan (NDP), presence of a population-based register, care setting, methods for reimbursement of drugs, devices and coverage of any comorbidities associated with diabetes, and the prevalence of and mortality from diabetes, gathered from the institutional sites of individual European countries to investigate the presence of national data and policies for diabetes control. Furthermore, to ensure the completeness of the data, the following sources of information were consulted: EUROSTAT [32] , WHO diabetes country profiles [34] , European Commission (EC) [35], International Federation of Diabetes (IFD) [1], Foundation of European Nurses for Diabetes (FEND) [36] , and the World Bank [37] . All data are reported in Table 3 . Full-text articles excluded, with reasons n = 48 type 1 diabetes registries n=14 paper without Studies included in qualitative synthesis (n = 18) (n = 9 EU-28 countries n = 9 outside EU-28 countries) The data covered the type of health system, presence or absence of a national diabetes plan (NDP), presence of a population-based register, care setting, methods for reimbursement of drugs, devices and coverage of any comorbidities associated with diabetes, and the prevalence of and mortality from diabetes, gathered from the institutional sites of individual European countries to investigate the presence of national data and policies for diabetes control. Furthermore, to ensure the completeness of the data, the following sources of information were consulted: EUROSTAT [32] , WHO diabetes country profiles [34] , European Commission (EC) [35], International Federation of Diabetes (IFD) [1], Foundation of European Nurses for Diabetes (FEND) [36] , and the World Bank [37] . All data are reported in Table 3 . A multiple correspondence analysis (MCA) was carried out in order to to evaluate the possible association between the variables taken into consideration, including EUROSTAT data for the countries of the European Union, data relating to mortality per 100,000 inhabitants and the mortality trend [32] , the prevalence of diabetes [32] , the organization of the health system [35, 36, 38] , the presence of a national diabetes plan, the year of approval [35, 36] , the general practitioners and diabetic centers involved, and the cost percentage of diabetes of the total health expenditure [38] . The variables listed above were classified as follows: percentage of diabetes (≤6%, >6%), diabetes mortality (≤25 per 100,000, greater than >25 per 100,000), mortality trend (growth, stable and in reduction), and percentage cost of diabetes of total health expenditure (≤9%, >9%). The MCA was conducted using SAS statistical software. The graphical representation takes into account the variables that contributed most to the variance. Countries belonging to the European Union show high income rates, except for Bulgaria and Romania. The highest percentages of diabetes (>10%) are registered in Bulgaria, Malta, and Hungary. Values for diabetes of between 8 and 9% are shown for 50% of the countries, including the Czech Republic, Croatia, Estonia, France, Italy, Greece, Lithuania, Latvia, Poland, Portugal, Romania, Slovakia, Slovenia, and Spain; while values between 6 and 7% are shown for Austria, Belgium, Cyprus, Denmark, Finland, Luxembourg, Germany, Ireland, Sweden, the United Kingdom, and the Netherlands. Regarding men, seven countries (25%) have a diabetes percentage rate higher than 10%: Bulgaria, Czech Republic, Estonia, Hungary, Malta, Spain. Regarding women, Bulgaria shows a rate of 10%. Concerning overweight individuals, no European country shows overall percentages of less than 50%. In fact, as many as 21 out of 28 countries (75% of European countries) show a high percentage of overweight of 60%; the remaining 7 countries show percentages of between 50 and 60%. Overweight affects 70% of men in 6 countries (Czech Republic, Estonia, Luxembourg, Malta, Spain, and UK) and percentages between 60-70% are shown for 21 states. Only Latvia has a percentage just below 60%. The figures for women are globally similar, with the exception of Austria, where the percentage of overweight is slightly lower (49.2%). In 17 out of 28 countries, the percentage of female overweight is between 50 and 60%, while in 10 countries the percentage exceeds 60% (Czech Republic, Denmark, Estonia, Greece, Latvia, Lithuania, Malta, Poland, Spain, UK). Regarding obesity, 57% of European countries show values of obesity of 25%: Bulgaria, Croatia, Czech Republic, Estonia, France, Greece, France, Hungary, Ireland, Latvia, Lithuania, Malta, Poland, Slovakia, Slovenia, Spain, UK). Percentages in the range of 23.4-24.5% are shown for Cyprus, Italy and Romania. The remaining countries show obesity percentages ranging between 20 and 22%. Regarding gender, obesity rates are above 28% for men in 4 countries (Czech Republic, Estonia, Luxemburg, UK), while the lowest values are recorded in Austria, Portugal, and Romania. Particularly relevant is that in some countries (Czech Republic, Malta, Estonia, and UK) the percentage of obese women is greater than 30%. Instead, the percentage exceeds 25% in 11 countries (Bulgaria, Cyprus, France, Hungary, Ireland, Lithuania, Poland, Slovakia, Slovenia, and Spain). On the other hand, the percentages of physical inactivity are more variable from country to country. The highest value for physical inactivity belongs to Malta with 45%, followed by countries in southern Europe (Italy, Spain, Portugal) and northern Europe (Belgium and the United Kingdom). It is important to underline that the percentage of physical inactivity in females is higher than in males across Europe. A total of 12,150 references were identified through database searching were, while 40 were identified through manual searching. Of these, 45 references were excluded because they were duplicates. Of the remaining papers, 80 were selected as potentially valid for the systematic review. Nutrients 2020, 12, 2806 9 of 14 A further 14 papers were excluded for not containing the requested information. In total, 66 papers were analyzed, of which 48 covered type 1 DM and 18 covered type 2 DM (Figure 3 PRISMA Flow Chart). Of the latter 18, 9 were EU-28 countries and 9 were from outside the EU-28. All results are described in Table 2 . European health systems vary from country to country, and even within individual countries. However, in most European countries (57%) there are insurance-based health systems, while in 12 countries there are public national health systems. In 57% of countries, there are national diabetes plans. In total, 42% of the countries belonging to the European Union have established a prevalence register for diabetes. Diabetes care is mainly entrusted to the general practitioner in 19 countries, while in the remaining countries it is entrusted to diabetes centers. In health systems where health care is totally managed by the state government, the latter provides coverage for drugs, devices, and associated comorbidities, except for Latvia. In insurance systems, on the other hand, only in Belgium is there full coverage for expenses relating to drugs, devices, and comorbidities, while in the remaining countries there are shares for different copayments. Mortality is extremely variable; the lowest values are found in Finland, while the highest values are present in the islands Malta and Cyprus. There are only two countries with values above 40/100,000, which are Croatia and Czech Republic; while mortality values of between 30 and 40/100.00 are found in Austria, Portugal. and Hungary. Seven out of 28 countries show mortality values of between 20 and 30, including Bulgaria, Denmark, Germany, Italy, Latvia, Poland, and Sweden. In total, 42% of European countries show mortality values of between 10 and 20/100,000, including Belgium, Estonia, France, Greece, Ireland, Lithuania, Luxembourg, Romania, Slovakia, Spain, UK, and the Netherlands. The country and year of approval of each national diabetes plan represent the first dimension, which account for about 35% of the variance; the prevalence and mortality trends represent the second dimensions, which account for around 25% of the variance. All results are represented in Figure 4 . Nutrients 2020, 12, x FOR PEER REVIEW 10 of 14 trend, and a health expenditure for diabetes <9% of the total national health expenditure. The cloud of points represents the presence of an NDP, health expenditure for diabetes <9%, and the presence of the national health service. The chronicity control system is represented by the chronic care model (CCM), which was developed in the mid-1990s by Wagner [39, 40] . This model covers the needs of health organizations and citizens. The CCM provides six levels of implementation: the organization of care systems with the removal of barriers; self-management with support from a caregiver; support for decisions on prevention or treatment strategies based on medical evidence; delivery of services; a system for recording and monitoring care and community and public health resources [41] . For diabetes mellitus, this means a combination of programs The first quadrant includes the following countries and variables-Finland, the United Kingdom, Ireland, Sweden, Belgium, Austria, Luxembourg, the Netherlands, each showing a mortality rate below 25.0, diabetes <6%, stable mortality trend, and with diabetes care entrusted to general practitioners. In this quadrant, a cloud of points can be seen, showing mortality <25/100,000 diabetes <6% for Austria and Netherlands, with diabetes care entrusted to general practitioners. The following countries and variables represent the second quadrant-Estonia, Bulgaria, Poland, Romania, Lithuania, Latvia, France, and Germany, each showing health expenditure for diabetes >9% compared to the total health expenditure, an increasing mortality trend, the absence of a national diabetes plan for diabetes, and health insurance. In this quadrant, an aggregation zone can be highlighted, which includes the absence of a national diabetes plan, a rising mortality trend, and health insurance. Hungary, the Czech Republic, Slovenia, Greece, Croatia, Cyprus, Malta, and the geographical area of Eastern Europe represent the third quadrant, each having a mortality rate greater than 25%, the approval after 2003 of the NDP, a % of diabetes >6%, and the presence of diabetes services. It is important to underline that a point of clouds includes mortality greater than 25%, percentage of diabetes >6%, and approval year of the NDP after 2003. The fourth quadrant includes Portugal, Italy, Spain, Slovak Republic, Denmark, each showing the presence of a NDP, a NDP approved before 2003, a national health system, a decreasing mortality trend, and a health expenditure for diabetes <9% of the total national health expenditure. The cloud of points represents the presence of an NDP, health expenditure for diabetes <9%, and the presence of the national health service. The chronicity control system is represented by the chronic care model (CCM), which was developed in the mid-1990s by Wagner [39, 40] . This model covers the needs of health organizations and citizens. The CCM provides six levels of implementation: the organization of care systems with the removal of barriers; self-management with support from a caregiver; support for decisions on prevention or treatment strategies based on medical evidence; delivery of services; a system for recording and monitoring care and community and public health resources [41] . For diabetes mellitus, this means a combination of programs aimed at nutrition education, autonomous control of blood glucose with related strategies, psychological support, and personal empowerment [42] . The growth estimates for diabetes in Europe are quite clear-an increase from 59.8 million cases in 2015 to 71.1 million cases in 2040 [1]. These data are even more alarming in light of the recent SARS-Cov2 pandemic, posing a problem to healthcare stakeholders. In fact, diabetics are more susceptible to lower respiratory tract infections due to the abnormal neutrophil function induced by hyperglycemia [43] . Data from clinical studies show the increased susceptibility of diabetics affected by atypical pneumonia [44] . In this context, the enhancement of telemedicine services appears to be a priority in the control of chronic diseases, especially in lockdown periods. A recent meta-analysis has shown that telemedicine for diabetes treatment is cost effective for both retinal screening and telemonitoring [45] . Another work highlights how the control of the diabetic via telematics allows better control of glycated hemoglobin [46] , which is the main marker of diabetes progression [47] . An important aspect to consider is the organization of diabetes services. The economic crisis of the period 2008-2013 severely tested the health systems of individual countries, with progressive cuts to some services or increases in copayment quotas. Some health systems, by virtue of their organization or recent reform, have been able to cope with these new economic scenarios, while others have found themselves in more difficulty; the effects of the recent economic crisis are still fully visible in terms of mortality trends [48] . The close associations between the organizational and financial aspects can be deduced from the distribution of the variables obtained from the analysis of the reports. In fact, it is clear that the activation of a National Diabetes Plan can contribute to the reduction of the prevalence of mortality from DM and the containment of the global costs of diabetes. Our results show that in countries where there is a national health system (UK, Italy, Spain, Portugal) or an insurance system with high social protection (The Netherlands, France), excellent performance is noted in the control of diabetic disease and its comorbidities. In fact, the guarantee of access to therapies and control and prevention of complications contribute to reducing mortality, while at the same time lead to significant savings. These results are most evident in countries where a national diabetes control plan has been in place for at least 15 years. Another aspect that emerges from our analysis is the care setting. In fact, it seems that the management of diabetes by practitioners compared to diabetic centers guarantees better results in terms of the prevalence of and mortality from T2DM, as underlined by the aforementioned meta-analysis of Gupta et al. [26] . Access to care or better delivery of care represents one of the cornerstones of the CCM model. In our opinion, a similar system should also cover obese individuals by actively involving them in prevention policies, emphasizing self-care by self-management [49] . Our data show that obesity and being overweight are closely related to physical inactivity, especially in females, representing a gender gap. An emphasis on this theme was noted for the women's football world championship [50] . Countries should make greater efforts to guarantee women access to sports activities, promoting the removal of sociocultural barriers and with ad hoc investments; for example, it has been shown that quality public transport and travel infrastructure for pedestrians could reduce the gender gap, allowing women to practice physical activity with greater ease and accessibility [51] . This is a fundamental aspect, especially in light of the fact that physical inactivity is one of the determinants of non-communicable diseases [52] and one of the main determinants of the increase in BMI, and therefore of obesity [50] . In fact, it has been estimated that by 2050, in EU-28 countries obesity will reduce life expectancy rates from 0.9 to 4.2 years and that 8.4% of health budgets will be used to treat complications associated with obesity. Moreover, the consequent economic effects of obesity directly reduce productive activities [51, 53] . In conclusion, 50% of EU 28 countries show type 2 DM prevalence rates in the range of 8-9%. In addition, 21 of the EU-28 countries show a high percentage of overweight, while 7% of EU-28 countries have an obesity prevalence rate of 25%. The record for physical inactivity belongs to Malta. In general, physical inactivity rates are higher for females than males. Regarding care organizations, national public insurance is present in 57% of countries. Diabetes treatment is entrusted to general practitioners in most countries. The results of this work highlight the differences between countries, but also between genders. The patterns identified could indicate cultural and gender trends to which future public health interventions should be addressed. Greater attention should be given to the fight against risk factors for non-communicable diseases, particularly diabetes, considering its high prevalence. This must be a priority for citizens at higher risk. The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. International Diabetes Federation: Brussels Ectopic fat storage in the pancreas, liver, and abdominal fat depots: Impact on β-cell function in individuals with impaired glucose metabolism Environmental/lifestyle factors in the pathogenesis and prevention of type 2 diabetes Variation and Trends in Incidence of Childhood Diabetes in Europe Genetic and environmental factors affect the onset of type 1 diabetes mellitus Age-period-cohort analysis of 1990-2003 incidence time trends of childhood diabetes in Italy: The RIDI study Facts about diabetes in Denmark Control of glycemia and cardiovascular risk factors in patients with type 2 diabetes in primary care in Catalonia (Spain) Diabetes and risk of cancer incidence: Results from a population-based cohort study in northern Italy The Prevalence and Incidence of Diabetes in Germany Annual Report Diabetes Observatory Diabetes in Finland Prevalence and Variation in Quality of Care. Finnish Diabetes Association STAKES-National Research and Development Centre for Welfare and Health The impact of diabetes on prescription drug costs: The population-based Turin study Il profilo assistenziale della popolazione con diabete Rapporto Diabetes Prevalence in Sweden at Present and Projections for Year 2050 Diabetes Mellitus: A Major Public Health Challenge in the 21st Century Health Fact Sheets Ministry of Health. The national diabetes registry The Norwegian Diabetes Register for Adults-An overview of the first years Centre for Disease Control and Prevention. National Diabetes Statistics report 2020 Epidemiology of diabetes mellitus in Russian Federation: Clinical and statistical report according to the federal diabetes registry National Diabetes Plan in Europe. What lessons are there for the prevention and control of chronic diseases in Europe Effects di pay-for-performance for primary care physicians on Diabetes outcomes in single-payer health systems: A systematic review Effects di lifestyle changes on adults with pre Diabete: A systematic review and meta-analysis Targets for body fat, blood pressure, lipids, and glucose-Bassaering interventions in healthy older people Assessment di epidemiological Obesity among adults in EU countries Breast Cancer Screening Programmes across the WHO European Region: Differences among Countries Based on National Income Level Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement Death Due To Diabetes Mellitus, by Sex WHO. Diabetes Country Profiles. Available online Diabetes in Europe policy puzzle: The state we are in. Int. Diabetes Nurs Country and Lending Groups Global healthcare expenditure on diabetes for 2010 and 2030 Organizing care for patients with chronic illness Organizing Care for Patients with Chronic Illness Revisited Effectiveness of chronic care models for the management of type 2 diabetes mellitus in Europe: A systematic review and meta-analysis Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (JA-CHRODIS). Health promotion interventions in type 2 diabetes COVID-19 infection in Italian people with diabetes: Lessons learned for our future (an experience to be used) Diabetes and infection: Is there a link?-A mini-review Telemedicine Cost-Effectiveness for Diabetes Management: A Systematic Review Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials Action to Control Cardiovascular Risk in Diabete Study Group Effects di intensive glucose Bassaering in type 2 Diabetes Financial crisis, austerity, and health in Europe Foucault at the bedside: A critical analysis of empowering a healthy lifestyle Time to tackle the physical activity gender gap Large-scale physical activity data reveal worldwide activity inequality The role of obesity and lifestyle behaviours in a productive workforce The Heavy Burden of Obesity: The Economics of Prevention, OECD Health Policy Studies