Rusko
High income
- Přehled
- Prevalence obezity
- Trendy v průběhu času
- Rozdělení populace
- Faktory
- Komorbidity
- Ekonomický dopad
- Zásady (k dispozici pouze v angličtině)
- Contextual factors
Report cards
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Faktory
Nedostatečná aktivita
Spotřeba nealkoholických nápojů
Spotřeba ovoce
Spotřeba zeleniny
Spotřeba zpracovaného masa
Spotřeba obilných potravin
Deprese
Úzkost
Příčiny obezity »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Unaffordable diet
Stáhnout zprávu
Komorbidity
Rakovina jícnu
Rakovina prsu
Rakovina tlustého střeva a konečníku
Rakovina slinivky břišní
Rakovina žlučníku
Rakovina ledvin
Rakovina dělohy
Zvýšený krevní tlak
Zvýšený cholesterol
Zvýšená hladina glukózy v krvi nalačno
Prevalence diabetu
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Stáhnout zprávu
Ekonomický dopad
Zásady (k dispozici pouze v angličtině)
Národní strategie proti obezitě
Strategie výživy nebo zdraví
Marketing
Fyzická aktivita
Daně/dotace na potraviny nebo nápoje
Intervence v komunitě
Označení
Strategie boje proti nepřenosným nemocem
Changed to reflect the meaning of management of a medical condition
Training
Kojení
Obesity Target
Obesity as a Disease
Stáhnout zprávu
Contextual factors
Prevalence obezity
Dospělí, 2020-2022
| Typ průzkumu: | Naměřené |
| Věk: | 35-74 |
| Velikost vzorku: | 28,710 |
| Pokrytá oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Dospělí, 2012-2014
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20332 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Dospělí, 2000
| Typ průzkumu: | Naměřené |
| Věk: | 19-55 |
| Velikost vzorku: | 9006 |
| Pokrytá oblast: | Národní |
| Reference: | Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. |
| Poznámky: | Russian Longditudinal Monitoring Survey. |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Dospělí, 1992
| Typ průzkumu: | Naměřené |
| Věk: | 19-55 |
| Velikost vzorku: | 17150 |
| Reference: | Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 |
| Poznámky: | The overweight figures are reported to be approximations. |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Děti, 2018-2020
| Typ průzkumu: | Naměřené |
| Věk: | 7 |
| Velikost vzorku: | 2081 |
| Pokrytá oblast: | Regional (Moscow) |
| Reference: | Report on the fifth round of data collection, 2018–2020: WHO European Childhood Obesity Surveillance Initiative (COSI). Copenhagen: WHO Regional Office for Europe; 2022. Licence: CC BY-NC-SA 3.0 IGO. |
| Cutoffs: | WHO 2007 |
Děti, 2018-2020
| Typ průzkumu: | Naměřené |
| Věk: | 7 |
| Velikost vzorku: | 2686 |
| Pokrytá oblast: | Regional (Yekaterinburg) |
| Reference: | Report on the fifth round of data collection, 2018–2020: WHO European Childhood Obesity Surveillance Initiative (COSI). Copenhagen: WHO Regional Office for Europe; 2022. Licence: CC BY-NC-SA 3.0 IGO. |
| Cutoffs: | WHO 2007 |
Děti, 2017
| Typ průzkumu: | Naměřené |
| Věk: | 7 |
| Velikost vzorku: | 2162 |
| Pokrytá oblast: | Regional (Moscow) |
| Reference: | WHO European Childhood Obesity Surveillance Initiative (COSI): report on the fourth round of data collection, 2015–2017. Copenhagen: WHO Regional Office for Europe; 2021. Licence: CC BY-NC-SA 3.0 IGO. |
| Cutoffs: | WHO |
Děti, 2005
| Typ průzkumu: | Naměřené |
| Věk: | 7-11 |
| Velikost vzorku: | 772 |
| Pokrytá oblast: | Národní |
| Reference: | IASO Reanalysis of RLMS 2005 Original Source: “Russia Longitudinal Monitoring survey, RLMS-HSE”, conducted by HSE and ZAO “Demoscope” together with Carolina Population Center, University of North Carolina at Chapel Hill and the Institute of Sociology RAS. (RLMS-HSE sites: http://www.cpc.unc.edu/projects/rlms-hse, http://www.hse.ru/org/hse/rlms) |
| Poznámky: | IOTF Cut Off Used |
| Cutoffs: | IOTF |
Děti, 1992
| Typ průzkumu: | Naměřené |
| Věk: | 5-17 |
| Velikost vzorku: | 3142 |
| Pokrytá oblast: | Národní |
| Reference: | Deev AV. Russian Longitudinal Monitoring Survey (RLMS). Re-analysed by Dr Alexander D Deev. |
| Poznámky: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
| Cutoffs: | IOTF |
0-5 years, 2005
| Věk: | 0-5 |
| Velikost vzorku: | 343 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XIV 2005 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2004
| Věk: | 0-5 |
| Velikost vzorku: | 385 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XIII 2004 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2003
| Věk: | 0-5 |
| Velikost vzorku: | 508 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XII 2003 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2002
| Věk: | 0-5 |
| Velikost vzorku: | 480 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XI 2002 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
Dívky, 2002
| Věk: | 0-5 |
| Velikost vzorku: | 481 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XI 2002 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2001
| Věk: | 0-5 |
| Velikost vzorku: | 463 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round X 2001 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2000
| Věk: | 0-5 |
| Velikost vzorku: | 425 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round IX 2000 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 1998-1999
| Věk: | 0-5 |
| Velikost vzorku: | 461 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VIII 1998 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 1996
| Věk: | 0-5 |
| Velikost vzorku: | 603 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VII 1996 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 1995
| Věk: | 0-5 |
| Velikost vzorku: | 643 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VI 1995 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
% Adults living with obesity in Russia 1992-2012
Mui
| Typ pr?zkumu: | Nam??en |
| Reference: | 1992: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 2000: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. 2012: Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
| Ke shroma?ování t?chto údaj? mohly být pouity r?zné metodiky, a proto nemusí být údaje z r?zných pr?zkum? vdy pln? srovnatelné. Pouité metodiky viz p?vodní zdroje údaj? | |
eny
| Typ pr?zkumu: | Nam??en |
| Reference: | 1992: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 2000: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. 2012: Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
| Ke shroma?ování t?chto údaj? mohly být pouity r?zné metodiky, a proto nemusí být údaje z r?zných pr?zkum? vdy pln? srovnatelné. Pouité metodiky viz p?vodní zdroje údaj? | |
% Adults living with overweight or obesity in Russia 1992-2012
Mui
| Typ pr?zkumu: | Nam??en |
| Reference: | 1992: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 2000: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. 2012: Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
| Ke shroma?ování t?chto údaj? mohly být pouity r?zné metodiky, a proto nemusí být údaje z r?zných pr?zkum? vdy pln? srovnatelné. Pouité metodiky viz p?vodní zdroje údaj? | |
eny
| Typ pr?zkumu: | Nam??en |
| Reference: | 1992: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 2000: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. 2012: Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
| Ke shroma?ování t?chto údaj? mohly být pouity r?zné metodiky, a proto nemusí být údaje z r?zných pr?zkum? vdy pln? srovnatelné. Pouité metodiky viz p?vodní zdroje údaj? | |
Nadváha/obezita podle vzdělání
Dospělí, 2020-2022
| Typ průzkumu: | Naměřené |
| Věk: | 35-74 |
| Velikost vzorku: | 28,710 |
| Pokrytá oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Muži, 2020-2022
| Typ průzkumu: | Naměřené |
| Věk: | 35-74 |
| Velikost vzorku: | 28,710 |
| Pokrytá oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ženy, 2020-2022
| Typ průzkumu: | Naměřené |
| Věk: | 35-74 |
| Velikost vzorku: | 28,710 |
| Pokrytá oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Muži, 2012-2013
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20,190 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A,. Shalnova S,. Deev A, Breda J.b, Jewell J, Rakovac I,. Conrady A, Rotar O, Zhernakova Y, Chazova I and Boytsov S.Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts 2019;12:103–114. |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ženy, 2012-2013
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20,190 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A,. Shalnova S,. Deev A, Breda J.b, Jewell J, Rakovac I,. Conrady A, Rotar O, Zhernakova Y, Chazova I and Boytsov S.Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts 2019;12:103–114. |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Muži, 2012-2014
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20332 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ženy, 2012-2014
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20332 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Muži, 2002-2005
| Typ průzkumu: | Naměřené |
| Věk: | 45-69 |
| Velikost vzorku: | 9231 |
| Pokrytá oblast: | Urban areas |
| Reference: | Pikhart H, Bobak M, Malyutina S, Pajak A, Kubinova R, Marmot M. Obesity and education in three countries of the Central and Eastern Europe: the HAPIEE study. Cent Eur J Public Health. 2007;15:140–142 |
| Poznámky: | Obesity was defined as BMI>30 kg/m2 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ženy, 2002-2005
| Typ průzkumu: | Naměřené |
| Věk: | 45-69 |
| Velikost vzorku: | 9231 |
| Pokrytá oblast: | Urban areas |
| Reference: | Pikhart H, Bobak M, Malyutina S, Pajak A, Kubinova R, Marmot M. Obesity and education in three countries of the Central and Eastern Europe: the HAPIEE study. Cent Eur J Public Health. 2007;15:140–142 |
| Poznámky: | Obesity was defined as BMI>30 kg/m2 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Nadvha/obezita podle v?ku
Dosp?l, 2020-2022
| Typ pr?zkumu: | Nam??en |
| Velikost vzorku: | 28,710 |
| Pokryt oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
Dosp?l, 2007-2010
| Typ pr?zkumu: | Nam??en |
| Velikost vzorku: | 3938 |
| Pokryt oblast: | Nrodn |
| Reference: | Wu F, Guo Y, Chatterji S, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC Public Health. 2015;15:88. doi:10.1186/s12889-015-1407-0. |
| Poznámky: | Prevalence of obesity in adults aged 50+ |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
D?ti, 2005
| Typ pr?zkumu: | Nam??en |
| Velikost vzorku: | 1081 |
| Pokryt oblast: | Nrodn |
| Reference: | World Obesity Reanalysis of RLMS 2005 Original Source: “Russia Longitudinal Monitoring survey, RLMS-HSE”, conducted by HSE and ZAO “Demoscope” together with Carolina Population Center, University of North Carolina at Chapel Hill and the Institute of Sociology RAS. (RLMS-HSE sites: http://www.cpc.unc.edu/projects/rlms-hse, http://www.hse.ru/org/hse/rlms) |
| Cutoffs: | IOTF |
Nadváha/obezita podle regionu
Dospělí, 2020-2022
| Typ průzkumu: | Naměřené |
| Věk: | 35-74 |
| Velikost vzorku: | 28,710 |
| Pokrytá oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Muži, 2020-2022
| Typ průzkumu: | Naměřené |
| Věk: | 35-74 |
| Velikost vzorku: | 28,710 |
| Pokrytá oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ženy, 2020-2022
| Typ průzkumu: | Naměřené |
| Věk: | 35-74 |
| Velikost vzorku: | 28,710 |
| Pokrytá oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Muži, 2012-2013
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20,190 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A,. Shalnova S,. Deev A, Breda J.b, Jewell J, Rakovac I,. Conrady A, Rotar O, Zhernakova Y, Chazova I and Boytsov S.Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts 2019;12:103–114. |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ženy, 2012-2013
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20,190 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A,. Shalnova S,. Deev A, Breda J.b, Jewell J, Rakovac I,. Conrady A, Rotar O, Zhernakova Y, Chazova I and Boytsov S.Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts 2019;12:103–114. |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Muži, 2012-2014
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20332 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ženy, 2012-2014
| Typ průzkumu: | Naměřené |
| Věk: | 25-64 |
| Velikost vzorku: | 20332 |
| Pokrytá oblast: | Národní |
| Reference: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Dospělí, 2007-2010
| Typ průzkumu: | Naměřené |
| Věk: | 50+ |
| Velikost vzorku: | 3938 |
| Pokrytá oblast: | Národní |
| Reference: | Wu F, Guo Y, Chatterji S, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC Public Health. 2015;15:88. doi:10.1186/s12889-015-1407-0. |
| Poznámky: | Prevalence of obesity in adults aged 50+ |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Děti, 1992
| Typ průzkumu: | Naměřené |
| Věk: | 6-9 |
| Velikost vzorku: | Total sample size (6-18yrs old) = 6883 |
| Pokrytá oblast: | Národní |
| Reference: | Youfa Wang.Cross-national comparison of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status. Int. J. Epidemiol. (2001) 30 (5): 1129-1136. doi: 10.1093/ije/30.5.1129 |
| Poznámky: | The study used the US NCHS body mass index (BMI = wt/ht2) reference to define obesity (BMI ≥95th percentile) and overweight (85th≤BMI<95th percentile). |
| Cutoffs: | Other |
0-5 years, 2005
| Velikost vzorku: | 343 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XIV 2005 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2004
| Velikost vzorku: | 385 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XIII 2004 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2003
| Velikost vzorku: | 508 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XII 2003 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2002
| Velikost vzorku: | 480 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XI 2002 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2001
| Velikost vzorku: | 463 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round X 2001 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 2000
| Velikost vzorku: | 425 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round IX 2000 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 1998-1999
| Velikost vzorku: | 461 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VIII 1998 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 1996
| Velikost vzorku: | 603 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VII 1996 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
0-5 years, 1995
| Velikost vzorku: | 643 |
| Reference: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VI 1995 |
| Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definice (k dispozici pouze v angličtině): | =>+2SD |
Nadvha/obezita podle sociln?-ekonomick skupiny
Dosp?l, 2020-2022
| Typ pr?zkumu: | Nam??en |
| V?k: | 35-74 |
| Velikost vzorku: | 28.708 |
| Pokryt oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Definice (kdispozici pouze vangli?tin?): | Income level determined through survey questions on share of income spent on food, opinion on family's financial capabilities, and security in comparison to other families |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
Mui, 2020-2022
| Typ pr?zkumu: | Nam??en |
| V?k: | 35-74 |
| Velikost vzorku: | 28.708 |
| Pokryt oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Definice (kdispozici pouze vangli?tin?): | Income level determined through survey questions on share of income spent on food, opinion on family's financial capabilities, and security in comparison to other families |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
eny, 2020-2022
| Typ pr?zkumu: | Nam??en |
| V?k: | 35-74 |
| Velikost vzorku: | 28.708 |
| Pokryt oblast: | National (15 regions) |
| Reference: | Balanova Yu.A., Drapkina, O.M. et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovascular Therapy and Prevention. 2023;22(8S):3793. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3793 [Accessed 06.08.25] |
| Poznámky: | Survey conducted in 15 Russian regions covering all federal districts |
| Definice (kdispozici pouze vangli?tin?): | Income level determined through survey questions on share of income spent on food, opinion on family's financial capabilities, and security in comparison to other families |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
Mui, 2012-2014
| Typ pr?zkumu: | Nam??en |
| V?k: | 25-64 |
| Velikost vzorku: | 20332 |
| Pokryt oblast: | Nrodn |
| Reference: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
eny, 2012-2014
| Typ pr?zkumu: | Nam??en |
| V?k: | 25-64 |
| Velikost vzorku: | 20332 |
| Pokryt oblast: | Nrodn |
| Reference: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
D?ti, 1992
| Typ pr?zkumu: | Nam??en |
| V?k: | 6-9 |
| Velikost vzorku: | Total sample size (6-18yrs old) = 6883 |
| Pokryt oblast: | Nrodn |
| Reference: | Youfa Wang.Cross-national comparison of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status. Int. J. Epidemiol. (2001) 30 (5): 1129-1136. doi: 10.1093/ije/30.5.1129 |
| Poznámky: | The study used the US NCHS body mass index (BMI = wt/ht2) reference to define obesity (BMI ≥95th percentile) and overweight (85th≤BMI<95th percentile). |
| Cutoffs: | Other |
Double burden of underweight & overweight
Dosp?l, 2022
| Typ pr?zkumu: | Nam??en |
| V?k: | 20+ |
| Reference: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Poznámky: | Age Standardised estimates |
| Definice (kdispozici pouze vangli?tin?): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
D?ti, 2022
| Typ pr?zkumu: | Nam??en |
| V?k: | 5-19 |
| Reference: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Poznámky: | Age standardised estimates |
| Definice (kdispozici pouze vangli?tin?): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
Nedostate?n fyzick aktivita
Dosp?l, 2022
| Typ pr?zkumu: | Samonahlen |
| V?k: | 18+ |
| Pokryt oblast: | Nrodn |
| Reference: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definice (kdispozici pouze vangli?tin?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Mui, 2022
| Typ pr?zkumu: | Samonahlen |
| V?k: | 18+ |
| Pokryt oblast: | Nrodn |
| Reference: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definice (kdispozici pouze vangli?tin?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
eny, 2022
| Typ pr?zkumu: | Samonahlen |
| V?k: | 18+ |
| Pokryt oblast: | Nrodn |
| Reference: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definice (kdispozici pouze vangli?tin?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Dosp?l, 2016
| Reference: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Mui, 2016
| Reference: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
eny, 2016
| Reference: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
D?ti, 2016
| Typ pr?zkumu: | Samonahlen |
| V?k: | 11-17 |
| Reference: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Poznámky: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definice (kdispozici pouze vangli?tin?): | % Adolescents insufficiently active (age standardised estimate) |
Chlapci, 2016
| Typ pr?zkumu: | Samonahlen |
| V?k: | 11-17 |
| Reference: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Poznámky: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definice (kdispozici pouze vangli?tin?): | % Adolescents insufficiently active (age standardised estimate) |
Dvky, 2016
| Typ pr?zkumu: | Samonahlen |
| V?k: | 11-17 |
| Reference: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Poznámky: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definice (kdispozici pouze vangli?tin?): | % Adolescents insufficiently active (age standardised estimate) |
D?ti, 2010
| V?k: | 11-17 |
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Poznámky: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definice (kdispozici pouze vangli?tin?): | % Adolescents insufficiently active (age standardised estimate) |
Chlapci, 2010
| V?k: | 11-17 |
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Poznámky: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definice (kdispozici pouze vangli?tin?): | % Adolescents insufficiently active (age standardised estimate) |
Dvky, 2010
| V?k: | 11-17 |
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Poznámky: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definice (kdispozici pouze vangli?tin?): | % Adolescents insufficiently active (age standardised estimate) |
Prevalence of at least daily soft drink consumption
D?ti, 2014
| Typ pr?zkumu: | Nam??en |
| Reference: | World Health Organization. (2017). Adolescent obesity and related behaviours: Trends and inequalities in the who european region, 2002-2014: observations from the Health Behavior in School-aged Children (HBSC) WHO collaborative cross-national study (J. Inchley, D. Currie, J. Jewel, J. Breda, & V. Barnekow, Eds.). World Health Organization. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org |
| Poznámky: | 15-year-old adolescents |
| Definice (kdispozici pouze vangli?tin?): | Prevalence of at least daily carbonated soft drink consumption (% of at least daily carbonated soft drink consumption) |
Estimated per capita fruit intake
Dosp?l, 2017
| V?k: | 25+ |
| Pokryt oblast: | Nrodn |
| Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definice (kdispozici pouze vangli?tin?): | Estimated per capita fruit intake (g/day) |
Prevalence spot?eby mn? ne jednoho ovoce denn?
D?ti, 2014
| Typ pr?zkumu: | Samonahlen |
| V?k: | 11-15 |
| Pokryt oblast: | Nrodn |
| Reference: | World Health Organization. (2017). Adolescent obesity and related behaviours: Trends and inequalities in the who european region, 2002-2014: observations from the Health Behavior in School-aged Children (HBSC) WHO collaborative cross-national study (J. Inchley, D. Currie, J. Jewel, J. Breda, & V. Barnekow, Eds.). |
| Definice (kdispozici pouze vangli?tin?): | Proportion who reported eating fruit less than daily |
Prevalence spot?eby mn? ne jedn zeleniny denn?
D?ti, 2014
| Typ pr?zkumu: | Samonahlen |
| V?k: | 11-15 |
| Pokryt oblast: | Nrodn |
| Reference: | World Health Organization. (2017). Adolescent obesity and related behaviours: Trends and inequalities in the who european region, 2002-2014: observations from the Health Behavior in School-aged Children (HBSC) WHO collaborative cross-national study (J. Inchley, D. Currie, J. Jewel, J. Breda, & V. Barnekow, Eds.). |
| Definice (kdispozici pouze vangli?tin?): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Estimated per capita processed meat intake
Dosp?l, 2017
| V?k: | 25+ |
| Pokryt oblast: | Nrodn |
| Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definice (kdispozici pouze vangli?tin?): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Dosp?l, 2017
| Typ pr?zkumu: | Nam??en |
| V?k: | 25+ |
| Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definice (kdispozici pouze vangli?tin?): | Estimated per-capita whole grains intake (g/day) |
Duevn zdrav stavy deprese
Dosp?l, 2021
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definice (kdispozici pouze vangli?tin?): | Number living with depression per 100,000 population (adults 20+ years) |
Mui, 2021
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definice (kdispozici pouze vangli?tin?): | Number living with depression per 100,000 population (adults 20+ years) |
eny, 2021
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definice (kdispozici pouze vangli?tin?): | Number living with depression per 100,000 population (adults 20+ years) |
Dosp?l, 2015
| Reference: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Definice (kdispozici pouze vangli?tin?): | % of population with depression disorders |
D?ti, 2021
| Pokryt oblast: | Nrodn |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definice (kdispozici pouze vangli?tin?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Chlapci, 2021
| Pokryt oblast: | Nrodn |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definice (kdispozici pouze vangli?tin?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Dvky, 2021
| Pokryt oblast: | Nrodn |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definice (kdispozici pouze vangli?tin?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Duevn zdrav stavy zkosti
Dosp?l, 2021
| V?k: | 20+ |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definice (kdispozici pouze vangli?tin?): | Number living with anxiety per 100,000 population |
Mui, 2021
| V?k: | 20+ |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definice (kdispozici pouze vangli?tin?): | Number living with anxiety per 100,000 population |
eny, 2021
| V?k: | 20+ |
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definice (kdispozici pouze vangli?tin?): | Number living with anxiety per 100,000 population |
Dosp?l, 2015
| Reference: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Definice (kdispozici pouze vangli?tin?): | % of population with anxiety disorders |
D?ti, 2021
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Chlapci, 2021
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Dvky, 2021
| Reference: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Percent of population who cannot afford a healthy diet
Dosp?l, 2024
| Pokryt oblast: | Nrodn |
| Reference: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Poznámky: | The percent of the population whose food budget is below the cost of a healthy diet. |
Dosp?l, 2022
| Pokryt oblast: | Nrodn |
| Reference: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Rakovina jcnu
Mui, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Indicence per 100,000 |
eny, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Indicence per 100,000 |
Mui, 2020
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (kdispozici pouze vangli?tin?): | Age-standardized indicence rates per 100 000 |
eny, 2020
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (kdispozici pouze vangli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina prsu
eny, 2022
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Incidence per 100,000 |
Rakovina tlustého střeva a konečníku
Muži, 2022
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Muži, 2020
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina slinivky břišní
Muži, 2022
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Muži, 2020
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina lu?nku
Mui, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Indicence per 100,000 |
eny, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Indicence per 100,000 |
Mui, 2020
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (kdispozici pouze vangli?tin?): | Age-standardized indicence rates per 100 000 |
eny, 2020
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (kdispozici pouze vangli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina ledvin
Mui, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Incidence per 100,000 |
eny, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Incidence per 100,000 |
Mui, 2020
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (kdispozici pouze vangli?tin?): | Age-standardized indicence rates per 100 000 |
eny, 2020
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (kdispozici pouze vangli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina d?lohy
eny, 2022
| V?k: | 20+ |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Incidence per 100,000 |
eny, 2020
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2297 |
| Definice (kdispozici pouze vangli?tin?): | Age-standardized indicence rates per 100 000 |
Zven krevn tlak
Dosp?l, 2015
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definice (kdispozici pouze vangli?tin?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mui, 2015
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definice (kdispozici pouze vangli?tin?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
eny, 2015
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definice (kdispozici pouze vangli?tin?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Zven cholesterol
Dosp?l, 2008
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definice (kdispozici pouze vangli?tin?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mui, 2008
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definice (kdispozici pouze vangli?tin?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
eny, 2008
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definice (kdispozici pouze vangli?tin?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Zven hladina glukzy v krvi nala?no
Mui, 2014
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definice (kdispozici pouze vangli?tin?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
eny, 2014
| Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definice (kdispozici pouze vangli?tin?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalence diabetu
Dosp?l, 2024
| Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Dosp?l, 2021
| V?k: | 20-79 |
| Pokryt oblast: | Nrodn |
| Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Definice (kdispozici pouze vangli?tin?): | Age-adjusted comparative prevalence of diabetes, % |
Dosp?l, 2019
| V?k: | 20-79 |
| Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definice (kdispozici pouze vangli?tin?): | Diabetes age-adjusted comparative prevalence (%). |
Dosp?l, 2017
| Reference: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definice (kdispozici pouze vangli?tin?): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
eny, 2022
| V?k: | 20+ |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Incidence per 100,000 |
Leukemia
Mui, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Incidence per 100,000 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
eny, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Incidence per 100,000 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
Liver and intrahepatic bile duct Cancer
Muži, 2022
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Multiple Myeloma
Mui, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Indicence per 100,000 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
eny, 2022
| V?k: | 20+ |
| Pokryt oblast: | Nrodn |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (kdispozici pouze vangli?tin?): | Indicence per 100,000 |
| Pokud nen uvedeno jinak, nadvha znamen BMI mezi 25a29,9kg/m, obezita znamen BMI vy ne 30kg/m. | |
Non Hodgkin Lymphoma
Muži, 2022
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ženy, 2022
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
| Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Thyroid Cancer
Muži, 2022
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
| Věk: | 20+ |
| Pokrytá oblast: | Národní |
| Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Present |
| Front-of-package labelling? | Present-(voluntary) |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Present-(voluntary) |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Present |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Present |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Present |
| Mandatory limit of trans fats in place (all settings)? | Present |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Present |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Present |
| Evidence-based dietary guidelines and/or RDAs? | Absent |
| National target(s) on reducing obesity? | Present |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Unknown |
| Within 5 years? | Unknown |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Absent |
Key
Last updated November 11, 2025
Download contextual factors as a PDF Contextual factors definitions