title: Development of computational information technology for monitoring NCD risks in the Russian population: preliminary results.
abstract: Here, we report first results on the development of computational health information technology for monitoring chronic non-communicable diseases (NCDs) risks in Russia based on data of the large-scale ongoing population survey in Health Centers (HCs). The technology involve algorithms for automated raw data process and generation of joint database, tools for data standardization and visualization, the assessment of risks, and other components. The data on physical status of Russians, including height, weight, and BMI are provided and compared with Belgian (1835), Swiss (2002), and US (1988-1994) reference datasets. The age-standardized prevalence of obesity in 5-85 years-old Russians according to the conventional WHO criteria was found to be high (18.9% in males and 26.7% in females) and varied significantly across federal subjects of Russia thus suggesting an importance of the Russian NCDs risks monitoring system for planning and evaluation of the effectiveness of preventive and therapeutic measures.
authors.affiliation: Pirogov Russian National Research Medical University, Russia.
authors.forename: Svetlana P
authors.initials: SP
authors.lastname: Chernykh
authors.affiliation: Institute of Numerical Mathematics of the Russian Academy of Sciences.
authors.forename: Sergey G
authors.initials: SG
authors.lastname: Rudnev
authors.affiliation: Scientific-research center "Medas", Russia.
authors.forename: Dmitriy V
authors.initials: DV
authors.lastname: Nikolaev
authors.affiliation: Lomonosov Moscow State University, Russia.
authors.forename: Olga A
authors.initials: OA
authors.lastname: Starunova
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D002908:Chronic Disease / Q000453:epidemiology*; D015897:Comorbidity; D057225:Data Mining / Q000379:methods*; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology*; D010865:Pilot Projects; D011159:Population Surveillance / Q000379:methods*; D015995:Prevalence; D012307:Risk Factors; D012426:Russia; D017678:Sex Distribution; D055815:Young Adult