The role of environmental chemicals in the etiology of attention deficit hyperactivity disorder (ADHD) has been of interest in recent research. This scoping review aims to summarize known or possible associations between ADHD and environmental exposures to substances selected as priority chemicals of the European Human Biomonitoring Initiative (HBM4EU). Literature searches were performed in PubMed to identify relevant publications. Only meta-analyses and review articles were included, as they provide more extensive evidence compared to individual studies. The collected evidence indicated that lead (Pb), phthalates and bisphenol A (BPA) are moderately to highly associated with ADHD. Limited evidence exists for an association between ADHD and polycyclic aromatic hydrocarbons (PAHs), flame retardants, mercury (Hg), and pesticides. The evidence of association between ADHD and cadmium (Cd) and per- and polyfluoroalkyl substances (PFASs) based on the identified reviews was low but justified further research. The methods of the individual studies included in the reviews and meta-analyses covered in the current paper varied considerably. Making precise conclusions in terms of the strength of evidence on association between certain chemicals and ADHD was not straightforward. More research is needed for stronger evidence of associations or the lack of an association between specific chemical exposures and ADHD.

Background: Metabolic syndrome (MetS) is a public health problem in Europe, affecting all age groups. Several MetS definitions are available. The aim of this study was to compare four different MetS definitions in the Finnish adult population, to assess their agreement and to evaluate the impact of the choice of the definition on the prevalence of MetS. Methods: Data from FinHealth 2017, a cross-sectional national population health survey, focusing on adults aged 25 years or older were used in the analysis (n=5687). Measured data on anthropometrics, blood pressure and biomarkers together with questionnaire data were used to classify the participants into the MetS categories according to the four definitions. The definitions chosen for the comparison were those by the World Health Organization (WHO) (1998), National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) (2004), International Diabetes Federation (IDF) (2005), and Joint Interim Statement (JIS) (2009). Results: The four MetS definitions resulted in substantially different MetS prevalence: 17.7% by WHO, 33.3% by NCEP-ATP III, 41.5% by IDF, and 43.0% by JIS. Regardless of the definition used, the prevalence of MetS increased with age. The prevalence of the different components varied between the definitions, depending on the different cut-off points adopted. Out of all participants, only 13.6% were identified to have MetS according to all four definitions. Agreement between participants recognised by different MetS definitions, estimated through kappa coefficients, was almost perfect for IDF vs. JIS (0.97), strong for JIS vs. NCEP-ATP III (0.80), moderate for IDF vs. NCEP-ATP III (0.76) and weak for WHO vs. NCEP-ATP III (0.42), WHO vs. IDF (0.41) and WHO vs. JIS (0.40). Conclusions: Differences between observed prevalence of MetS in Finnish men and women using different MetS definitions were large. For cross-country comparisons, as well as for trend analyses within a country, it is essential to use the same MetS definition to avoid discrepancies in classification due to differences in used definitions.

Information on dietary adequacy is needed to assess food and nutrition security in a modern society, especially in the transition towards climate-friendly food systems. In this study, differences in the nutritional adequacy of diets among Finnish adults were evaluated in population groups of different education, income and urbanisation levels. The study used data from the FinDiet 2017 Survey (n = 1655, 18–74 years). Modelled usual intakes of foods and nutrients were evaluated relative to food-based dietary guidelines issued by the National Nutrition Council of Finland (FNNC) and with respect to nutrient adequacy following the Nordic Nutrition Recommendations and FNNC. For about half of the nutrients studied, intakes were found to be adequate. Intakes of protein, fat, saturated fatty acids and salt were estimated to be high. By contrast, inadequate intakes were seen in folate and vitamins A, D, B1, B2 and C in almost all groups studied. Groups with a higher education and income, groups that lived in urban areas and, in particular, women adhered more closely to recommended food consumption and nutrient intakes than others. However, major challenges posed by the Finnish diet are common to all groups studied, and only certain dietary features evaluated in view of nutritional adequacy are associated with socioeconomic differences.

Representative and reliable data on health and health determinants of the population and population sub-groups are needed for evidence-informed policy making; planning and evaluation of prevention programmes; and research. Health examination surveys (HESs) including questionnaires, objective health measurements and analysis of biological samples, provide information on many health indicators that are available not at all or less reliably or completely through administrative registers or health interview surveys. Standardized cross-sectional HESs were already conducted in the 1980’s and 1990’s, in the framework of the WHO MONICA Project. The methodology was developed and finally, in 2010–2012, a European Health Examination Survey (EHES) Pilot Project was conducted. During this pilot phase, an EHES Coordinating Centre (EHES CC, formerly EHES Reference Centre) was established. Standardized protocols, guidelines and quality control procedures were prepared and tested in 12 countries which conducted pilot surveys, demonstrating the feasibility of standardized HES data collection in the European Union (EU). Currently, the EHES CC operates at the National Institute for Health and Welfare (THL), Finland. Its activities include maintaining and developing the standardized protocols, guidelines and training programme; maintaining the EHES network; providing professional support for countries planning and organizing their national HESs; external quality assessment for surveys organized in the EU Member States; and development of a centralized database and joint reporting system for HES data. An increasing number of EU Member States are conducting national HESs, demonstrating a strong need for such surveys as part of the national health monitoring systems. Standardization of the data collection is essential to ensure that HES data are comparable across countries and over time. The work of the EHES CC helps to ensure the quality and comparability of HES data across the EU. HES data have been used for health monitoring and identifying public health problems; to develop health and prevention programmes; to support health policies and preparation of health-related legislation and regulations; and to develop clinical treatment guidelines and population reference values. HESs have also been utilized to prepare health measurement tools and diagnostic methods; in training and research and to increase health awareness among population.

Background: Food habits and their socio-economic differences in Russia have rarely been compared to those in western countries. Our aim was to determine socio-economic differences and their changes in the consumption of vegetables, fruit and berries in two neighbouring areas: the district of Pitkäranta in the Republic of Karelia, Russia, and North Karelia, Finland. Methods: Cross-sectional risk factor surveys in Pitkäranta, in 1992, 1997, 2002 and 2007 (1144 men, 1528 women) and in North Karelia, in 1992, 1997 and 2002 (2049 men, 2316 women), were carried out. Data collected with a self-administered questionnaire were analysed with logistic regression. Results: The consumption of fruit and vegetables was more common in North Karelia than in Pitkäranta, but increased markedly in Pitkäranta from 1992 to 2007. In Pitkäranta, women, and in North Karelia both men and women with higher education ate fresh vegetables more often than those with a lower education. In both areas, daily consumption of fruit tended to be more common among subjects with a higher education. In Pitkäranta, there were virtually no differences by employment status. In North Karelia, vegetable consumption was less common among the unemployed than the employed subjects. Only minor socio-economic differences in berry consumption were observed. The educational differences in vegetable consumption seemed to widen in Pitkäranta and narrow in North Karelia. Conclusion: A converging trend was observed, with the Russian consumption levels and socio-economic differences starting to approach those observed in Finland. This may be partly explained by the improvements in availability and affordability of fruit and vegetables in Pitkäranta.

Three data sources are generally used in monitoring health on the population level. Health interview surveys (HISs) are based on participants’ self-report. Health examination surveys (HESs) yield more objective data, and also persons who are unaware of their elevated risks can be detected. Medical records (MRs) and other administrative registers also provide objective data, but their availability, coverage and quality vary between countries. We summarized studies comparing self-reported data with (i) measured data from HESs or (ii) MRs. We aimed to describe differences in feasibility and comparability of different data sources for monitoring (i) elevated blood pressure or hypertension (ii) elevated blood glucose or diabetes and (iii) elevated total cholesterol. We conducted a literature search to identify studies, which validated self-reported measures against objective measures. We found 30 studies published since the year 2000 fulfilling our inclusion criteria (targeted to adults and comparing prevalence among the same persons). Hypertension and elevated total cholesterol were prone to be under-estimated in HISs. The under-estimate was more pronounced, when the HIS data were compared with HES data, and lower when compared with MRs. For diabetes, the HISs and the objective methods resulted in fairly similar prevalence rates. The three data sources measure different manifestations of the risk factors and cannot be expected to yield similar prevalence rates. Using HIS data only may lead to under-estimation of elevated risk factor levels or disease prevalence. Whenever possible, information from the three data sources should be evaluated and combined.