Ρωσική Ομοσπονδία
High income
- Επισκόπηση
- Επιπολασμός της παχυσαÏκίας
- Τάσεις σε συνάÏτηση με τον χÏόνο
- Κατανομή πληθυσμοÏ
- Παράγοντες
- ΣυννοσηÏότητες
- ΟικονομικÎÏ‚ επιπτώσεις
- ΠολιτικÎς
- Contextual factors
Επιπολασμός της παχυσαÏκίας
Τάσεις σε συνάÏτηση με τον χÏόνο
Report cards
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Κατανομή πληθυσμοÏ
Παράγοντες
ΑνεπαÏκής δÏαστηÏιότητα
Κατανάλωση αναψυκτικών
Κατανάλωση φÏοÏτων
Κατανάλωση λαχανικών
Κατανάλωση επεξεÏγασμÎνου κÏÎατος
Κατανάλωση δημητÏιακών
Κατάθλιψη
Άγχος
Αίτια της παχυσαÏκίας »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Unaffordable diet
Λήψη κάÏτας αναφοÏάς
ΣυννοσηÏότητες
ΚαÏκίνος του οισοφάγου
ΚαÏκίνος του μαστοÏ
ΚολοοÏθικός καÏκίνος
ΚαÏκίνος του παγκÏÎατος
ΚαÏκίνος της χοληδόχου κÏστης
Καρκίνος του νεφροÏ
ΚαÏκίνος της μήτÏας
ΑυξημÎνη αÏτηÏιακή πίεση
ΑυξημÎνη χοληστερÏŒλη
ΑυξημÎνη γλυκÏŒζη αίματος νηστε
Επιπολασμός του διαβήτη
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Λήψη κάÏτας αναφοÏάς
ΟικονομικÎÏ‚ επιπτώσεις
ΠολιτικÎς
Εθνική στÏατηγική για την παχυσαÏκία
ΣτÏατηγική για τη διατÏοφή ή για την υγεία
ΜάÏκετινγκ
Σωματική άσκηση
ΦόÏοι/Επιδοτήσεις Ï„Ïοφίμων ή ποτών
ΠαÏεμβάσεις της κοινότητας
Ετικετοποίηση
Στρατηγική για ΜΜΝ
ΚατευθυντήÏιες γÏαμμÎÏ‚ διαχείÏισης ή θεÏαπεία&si
Training
Θηλασμός
Obesity Target
Obesity as a Disease
Λήψη κάÏτας αναφοÏάς
Contextual factors
Επιπολασμός της παχυσαÏκίας
Ενήλικες, 2020-2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 35-74 |
| ΜÎγεθος δείγματος: | 28,710 |
| ΓεωγÏαφική κάλυψη: | National (15 regions) |
| ΠαÏαπομπÎÏ‚: | 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] |
| ΣημειÏŽσεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2012-2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20332 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2000
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 19-55 |
| ΜÎγεθος δείγματος: | 9006 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. |
| ΣημειÏŽσεις: | Russian Longditudinal Monitoring Survey. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 1992
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 19-55 |
| ΜÎγεθος δείγματος: | 17150 |
| ΠαÏαπομπÎÏ‚: | Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 |
| ΣημειÏŽσεις: | The overweight figures are reported to be approximations. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Παιδιά, 2018-2020
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 7 |
| ΜÎγεθος δείγματος: | 2081 |
| ΓεωγÏαφική κάλυψη: | Regional (Moscow) |
| ΠαÏαπομπÎÏ‚: | 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 |
Παιδιά, 2018-2020
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 7 |
| ΜÎγεθος δείγματος: | 2686 |
| ΓεωγÏαφική κάλυψη: | Regional (Yekaterinburg) |
| ΠαÏαπομπÎÏ‚: | 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 |
Παιδιά, 2017
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 7 |
| ΜÎγεθος δείγματος: | 2162 |
| ΓεωγÏαφική κάλυψη: | Regional (Moscow) |
| ΠαÏαπομπÎÏ‚: | 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 |
Παιδιά, 2005
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 7-11 |
| ΜÎγεθος δείγματος: | 772 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | IASO Reanalysis of RLMS 2005 Original Source: ¬ìRussia Longitudinal Monitoring survey, RLMS-HSE¬î, conducted by HSE and ZAO ¬ìDemoscope¬î 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) |
| ΣημειÏŽσεις: | IOTF Cut Off Used |
| Cutoffs: | IOTF |
Παιδιά, 1992
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 5-17 |
| ΜÎγεθος δείγματος: | 3142 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Deev AV. Russian Longitudinal Monitoring Survey (RLMS). Re-analysed by Dr Alexander D Deev. |
| ΣημειÏŽσεις: | 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
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 343 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XIV 2005 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2004
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 385 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XIII 2004 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2003
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 508 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XII 2003 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2002
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 480 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XI 2002 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
ΚοÏίτσια, 2002
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 481 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XI 2002 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2001
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 463 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round X 2001 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2000
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 425 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round IX 2000 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1998-1999
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 461 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VIII 1998 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1996
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 603 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VII 1996 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1995
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 643 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VI 1995 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
% Adults living with obesity in Russia 1992-2012
??????
| ????? ???????: | ??? ??????? |
| ??????????: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
????????
| ????? ???????: | ??? ??????? |
| ??????????: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
% Adults living with overweight or obesity in Russia 1992-2012
??????
| ????? ???????: | ??? ??????? |
| ??????????: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
????????
| ????? ???????: | ??? ??????? |
| ??????????: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
ΥπεÏβολικό βάÏος/ΠαχυσαÏκία ανά μοÏφωτικό επίπε&del
Ενήλικες, 2020-2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 35-74 |
| ΜÎγεθος δείγματος: | 28,710 |
| ΓεωγÏαφική κάλυψη: | National (15 regions) |
| ΠαÏαπομπÎÏ‚: | 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] |
| ΣημειÏŽσεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2020-2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 35-74 |
| ΜÎγεθος δείγματος: | 28,710 |
| ΓεωγÏαφική κάλυψη: | National (15 regions) |
| ΠαÏαπομπÎÏ‚: | 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] |
| ΣημειÏŽσεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2020-2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 35-74 |
| ΜÎγεθος δείγματος: | 28,710 |
| ΓεωγÏαφική κάλυψη: | National (15 regions) |
| ΠαÏαπομπÎÏ‚: | 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] |
| ΣημειÏŽσεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2012-2013
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20,190 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2012-2013
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20,190 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2012-2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20332 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2012-2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20332 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2002-2005
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 45-69 |
| ΜÎγεθος δείγματος: | 9231 |
| ΓεωγÏαφική κάλυψη: | Urban areas |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | Obesity was defined as BMI>30 kg/m2 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2002-2005
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 45-69 |
| ΜÎγεθος δείγματος: | 9231 |
| ΓεωγÏαφική κάλυψη: | Urban areas |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | Obesity was defined as BMI>30 kg/m2 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
?????????? ?????/?????????? ??? ??????
????????, 2020-2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 28,710 |
| ?????????? ??????: | National (15 regions) |
| ??????????: | 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] |
| Σημει?σεις: | Survey conducted in 15 Russian regions covering all federal districts |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
????????, 2007-2010
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 3938 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Prevalence of obesity in adults aged 50+ |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
??????, 2005
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 1081 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
ΥπεÏβολικό βάÏος/παχυσαÏκία ανά πεÏιφÎÏεια
Ενήλικες, 2020-2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 35-74 |
| ΜÎγεθος δείγματος: | 28,710 |
| ΓεωγÏαφική κάλυψη: | National (15 regions) |
| ΠαÏαπομπÎÏ‚: | 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] |
| ΣημειÏŽσεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2020-2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 35-74 |
| ΜÎγεθος δείγματος: | 28,710 |
| ΓεωγÏαφική κάλυψη: | National (15 regions) |
| ΠαÏαπομπÎÏ‚: | 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] |
| ΣημειÏŽσεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2020-2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 35-74 |
| ΜÎγεθος δείγματος: | 28,710 |
| ΓεωγÏαφική κάλυψη: | National (15 regions) |
| ΠαÏαπομπÎÏ‚: | 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] |
| ΣημειÏŽσεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2012-2013
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20,190 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2012-2013
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20,190 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2012-2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20332 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2012-2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 25-64 |
| ΜÎγεθος δείγματος: | 20332 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2007-2010
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 50+ |
| ΜÎγεθος δείγματος: | 3938 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Prevalence of obesity in adults aged 50+ |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Παιδιά, 1992
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 6-9 |
| ΜÎγεθος δείγματος: | Total sample size (6-18yrs old) = 6883 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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
| ΜÎγεθος δείγματος: | 343 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XIV 2005 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2004
| ΜÎγεθος δείγματος: | 385 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XIII 2004 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2003
| ΜÎγεθος δείγματος: | 508 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XII 2003 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2002
| ΜÎγεθος δείγματος: | 480 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round XI 2002 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2001
| ΜÎγεθος δείγματος: | 463 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round X 2001 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2000
| ΜÎγεθος δείγματος: | 425 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round IX 2000 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1998-1999
| ΜÎγεθος δείγματος: | 461 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VIII 1998 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1996
| ΜÎγεθος δείγματος: | 603 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VII 1996 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1995
| ΜÎγεθος δείγματος: | 643 |
| ΠαÏαπομπÎÏ‚: | Other: Russia Longitudinal Monitoring Survey (RLMS-HSE) Round VI 1995 |
| ΣημειÏŽσεις: | 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. |
| Ορισμοί: | =>+2SD |
?????????? ?????/?????????? ??? ??????????????????? ?????
????????, 2020-2022
| ????? ???????: | ??? ??????? |
| ??????: | 35-74 |
| ??????? ?????????: | 28.708 |
| ?????????? ??????: | National (15 regions) |
| ??????????: | 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] |
| Σημει?σεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Ορισμο?: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
??????, 2020-2022
| ????? ???????: | ??? ??????? |
| ??????: | 35-74 |
| ??????? ?????????: | 28.708 |
| ?????????? ??????: | National (15 regions) |
| ??????????: | 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] |
| Σημει?σεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Ορισμο?: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
????????, 2020-2022
| ????? ???????: | ??? ??????? |
| ??????: | 35-74 |
| ??????? ?????????: | 28.708 |
| ?????????? ??????: | National (15 regions) |
| ??????????: | 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] |
| Σημει?σεις: | Survey conducted in 15 Russian regions covering all federal districts |
| Ορισμο?: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
??????, 2012-2014
| ????? ???????: | ??? ??????? |
| ??????: | 25-64 |
| ??????? ?????????: | 20332 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
????????, 2012-2014
| ????? ???????: | ??? ??????? |
| ??????: | 25-64 |
| ??????? ?????????: | 20332 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
??????, 1992
| ????? ???????: | ??? ??????? |
| ??????: | 6-9 |
| ??????? ?????????: | Total sample size (6-18yrs old) = 6883 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | 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
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 20+ |
| ??????????: | 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. |
| Σημει?σεις: | Age Standardised estimates |
| Ορισμο?: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 5-19 |
| ??????????: | 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. |
| Σημει?σεις: | Age standardised estimates |
| Ορισμο?: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
????????? ???????? ??????
????????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
??????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
????????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
????????, 2016
| ??????????: | 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 |
??????, 2016
| ??????????: | 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 |
????????, 2016
| ??????????: | 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 |
??????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
??????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
??????, 2010
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
??????, 2010
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2010
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
Prevalence of at least daily soft drink consumption
??????, 2014
| ????? ???????: | ??? ??????? |
| ??????????: | 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 |
| Σημει?σεις: | 15-year-old adolescents |
| Ορισμο?: | Prevalence of at least daily carbonated soft drink consumption (% of at least daily carbonated soft drink consumption) |
Estimated per capita fruit intake
????????, 2017
| ??????: | 25+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per capita fruit intake (g/day) |
Επιπολασμ?ς της καταν?λωσης φρο?των λιγ?τερο συχν? απ? ημερησ?ως
??????, 2014
| ????? ???????: | ???????????????? |
| ??????: | 11-15 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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.). |
| Ορισμο?: | Proportion who reported eating fruit less than daily |
Επιπολασμ?ς της καταν?λωσης λαχανικ?ν λιγ?τερο συχν? απ? ημερησ?ως
??????, 2014
| ????? ???????: | ???????????????? |
| ??????: | 11-15 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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.). |
| Ορισμο?: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Estimated per capita processed meat intake
????????, 2017
| ??????: | 25+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
????????, 2017
| ????? ???????: | ??? ??????? |
| ??????: | 25+ |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per-capita whole grains intake (g/day) |
?????? ????? - ????????????? ??????????
????????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
??????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
????????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
????????, 2015
| ??????????: | 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. |
| Ορισμο?: | % of population with depression disorders |
??????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
??????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
????????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
?????? ????? - ???????? ??????????
????????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
??????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
????????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
????????, 2015
| ??????????: | 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. |
| Ορισμο?: | % of population with anxiety disorders |
??????, 2021
| ??????????: | 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) |
??????, 2021
| ??????????: | 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) |
????????, 2021
| ??????????: | 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
????????, 2024
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Σημει?σεις: | The percent of the population whose food budget is below the cost of a healthy diet. |
????????, 2022
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
???????? ??? ?????????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????
????????, 2022
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????????? ????????
??????, 2022
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ????????? ??????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
Καρκ?νος του νεφρο?
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????
????????, 2022
| ??????: | 20+ |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ????????? ?????
????????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
??????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Αυξημ?νη χοληστερ?λη
????????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
??????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Αυξημ?νη γλυκ?ζη α?ματος νηστε?ας
??????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Ορισμο?: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Ορισμο?: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
??????????? ??? ???????
????????, 2024
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
????????, 2021
| ??????: | 20-79 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Ορισμο?: | Age-adjusted comparative prevalence of diabetes, % |
????????, 2019
| ??????: | 20-79 |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Ορισμο?: | Diabetes age-adjusted comparative prevalence (%). |
????????, 2017
| ??????????: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Ορισμο?: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
????????, 2022
| ??????: | 20+ |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
Leukemia
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
Liver and intrahepatic bile duct Cancer
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
Multiple Myeloma
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
Non Hodgkin Lymphoma
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
Thyroid Cancer
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | 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