Japāna
High income
- PÄrskats
- AptaukoÅ¡anÄs izplatÄ«ba
- Tendences, kas veidojas laika gaitÄ
- IedzÄ«votÄju sadalÄ«jums
- IetekmÄ“jošie faktori
- Blakusslimības
- EkonomiskÄ ietekme
- Politikas (pieejamas tikai angļu valodÄ)
- Contextual factors
Report cards
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IedzÄ«votÄju sadalÄ«jums
IetekmÄ“jošie faktori
Nepietiekamas aktivitÄtes
Augļu patēriņš
PÄrstrÄdÄtas gaļas patÄ“riņš
Graudaugu patēriņš
Depresija
Trauksme
AptaukoÅ¡anÄs cÄ“loņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Unaffordable diet
LejupielÄdÄ“t ziņojumu kartÄ«ti
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
KolorektÄlais vÄ“zis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
PaaugstinÄts asinsspiediens
PaaugstinÄts holesterÄ«na lÄ«menis
PaaugstinÄts glikozes lÄ«menis asinÄ«s
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
LejupielÄdÄ“t ziņojumu kartÄ«ti
EkonomiskÄ ietekme
Politikas (pieejamas tikai angļu valodÄ)
Valsts stratēģija attiecÄ«bÄ uz aptaukoÅ¡anos
Stratēģija uztura vai veselÄ«bas jomÄ
Fiziska aktivitÄte
Sabiedrības iniciatīvas
StarptautiskÄs stratēģijas saistÄ«bÄ ar aptaukoÅ¡anos
Marķējums
NCD stratēģija
PÄrvaldÄ«bas vai apstrÄdes vadlÄ«nijas
School Food Regulations/Guidelines
Barošana ar krūti
Obesity Target
LejupielÄdÄ“t ziņojumu kartÄ«ti
Contextual factors
AptaukoÅ¡anÄs izplatÄ«ba
Pieaugušie, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 4012 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2023 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001228532&stat_infid=000040275976&cycle_facet=cycle&tclass2val=0&metadata=1&data=1 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. As this study reports BMI by 25-29.9 & 30 this is shown here to allow for comparison with non-Asian WHO cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 4012 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2023 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001228532&stat_infid=000040275976&cycle_facet=cycle&tclass2val=0&metadata=1&data=1 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity |
| Cutoffs: | Japanese Society for the Study of Obesity Cutoffs |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 3939 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2022 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001228531&stat_infid=000040276311&cycle_facet=cycle&tclass2val=0&metadata=1&data=1 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. There are four grades of obesity, while WHO standard cutoffs have three grades of obesity. There is no overweight category. |
| Cutoffs: | Japanese Society for the Study of Obesity Cutoffs |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 3939 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2022 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001228531&stat_infid=000040276311&cycle_facet=cycle&tclass2val=0&metadata=1&data=1 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. As this study reports BMI by 25-29.9 & 30 this is shown here to allow for comparison with non-Asian WHO cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 4273 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2019 (English Summary) . Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2019.pdf (last accessed 22.09.22) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Excel results with a breakdown of BMI 25-29.9 & 30=> available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. As this study reports BMI by 25-29.9 & 30 this is shown here to allow for comparison with non-Asian WHO cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 4273 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2019 (English Summary) . Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2019.pdf (last accessed 22.09.22) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. There are four grades of obesity, while WHO standard cutoffs have three grades of obesity. There is no overweight category. |
| Cutoffs: | Japanese Society for the Study of Obesity Cutoffs |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 5234 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. This is shown here as overweight and obesity to allow comparison with non-Asian cutoffs. |
| Cutoffs: | Japanese Society for the Study of Obesity Cutoffs |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2017
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | *Since the surveys in 2012 and 2016 were conducted with a larger number of subjects than the regular surveys, weighting was applied to correct the difference in the number of households in each prefecture between the regular survey year and the 2012 and 2016 surveys in order to compare the results with the regular survey year, and the results were calculated as nationally adjusted values. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2007
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2002
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2000
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 15000 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1997
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1992
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1987
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1986-1990
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Atsauces: | Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1982
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1981-1985
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Atsauces: | Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1977
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1976-1980
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Atsauces: | Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1973
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | Large National Survey |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2019. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_shintai.html (Summary data available in English). Last accessed 04.09.24 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Bērni, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-14 |
| Izlases lielums: | 357 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2023 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. NB: VERY SMALL SAMPLE SIZE |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
Bērni, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-14 |
| Izlases lielums: | 337 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2022 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. NB: VERY SMALL SAMPLE SIZE |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
Bērni, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-14 |
| Izlases lielums: | 393 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | NB VERY SMALL SAMPLE SIZE |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Bērni, 2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-14 |
| Izlases lielums: | 2192 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Bērni, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-14 |
| Izlases lielums: | 655 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | NB. Small sample size |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Bērni, 2004-2007
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 9-10 |
| Izlases lielums: | 1436 |
| AptvertÄ teritorija: | Regional - Ina |
| Atsauces: | Ochiai, Hirotaka, et al. “Changes in Overweight/Obesity and Central Obesity Status from Preadolescence to Adolescence: A Longitudinal Study among Schoolchildren in Japan.” BMC Public Health, vol. 20, no. 1, 17 Feb. 2020, 10.1186/s12889-020-8343-3. Accessed 11.10.21. |
| Cutoffs: | IOTF |
Bērni, 1996-2000
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-8 |
| Izlases lielums: | 56604 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
Bērni, 1986-1990
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-8 |
| Izlases lielums: | 56604 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
Bērni, 1976-1980
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-8 |
| Izlases lielums: | 56604 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
0-5 years, 2010
| Vecums: | 0-5 |
| Izlases lielums: | 6643 |
| Atsauces: | Other: Japan 2010 Growth Survey of Infants and Children |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2000
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 8594 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japan 2000 Growth Survey of Infants and Children |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. NB. Excluding Hospital Survey |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 1990
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 10797 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japan 1990 Growth Survey of Infants and Children |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. NB. Excluding Hospital Survey |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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. |
| Cutoffs: | =>+2SD |
% pieaugušo ar lieko svaru vai aptaukošanos, 1973-2023
V?rieši
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2023. Available at https://www.mhlw.go.jp/bunya/kenkou/kenkou_eiyou_chousa.html. Last accessed 15.05.25 |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Sievietes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2023. Available at https://www.mhlw.go.jp/bunya/kenkou/kenkou_eiyou_chousa.html. Last accessed 15.05.25 |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
% pieaugušo, kas cieš no aptaukošan?s, 1973-2023
V?rieši
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2023. Available at https://www.mhlw.go.jp/bunya/kenkou/kenkou_eiyou_chousa.html. Last accessed 15.05.25 |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Sievietes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | Japanese National Health and Nutrition Survey 1973-2023. Available at https://www.mhlw.go.jp/bunya/kenkou/kenkou_eiyou_chousa.html. Last accessed 15.05.25 |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
% b?rnu, kam ir liekais svars vai aptaukošan?s
Boys and girls
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Z?ni
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Meitenes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
% Children living with overweight or obesity in Japan 1976-1996
Z?ni
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Defin?cijas (pieejamas tikai ang?u valod?): | IOTF |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Meitenes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Defin?cijas (pieejamas tikai ang?u valod?): | IOTF |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Liekais svars/aptaukoÅ¡anÄs pÄ“c izglÄ«tÄ«bas
Vīrieši, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20-64 |
| Izlases lielums: | 2,491 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20-64 |
| Izlases lielums: | 2,491 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Bērni, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-11 |
| Izlases lielums: | 397 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Prevalence of overweight and obesity by Maternal Education (Paternal Education also available) Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | WHO |
Liekais svars/aptaukoÅ¡anÄs pÄ“c vecuma
Pieaugušie, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 4012 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2023 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. NB: Small sample size within groups |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 4012 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2023 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. NB: Small sample size within groups |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. As this study reports BMI by 25-29.9 & 30 this is shown here to allow for comparison with non-Asian WHO cutoffs |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 3939 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2022 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. NB: Small sample size within groups |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 3939 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2022 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. NB: Small sample size within groups |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | The Japanese Society for the Study of Obesity cutoffs define BMI ≥ 25 as obesity. As this study reports BMI by 25-29.9 & 30 this is shown here to allow for comparison with non-Asian WHO cutoffs |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 4273 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2019 (English Summary) . Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2019.pdf (last accessed 22.09.22) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Combined overweight or obesity only provided |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 5234 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Paper classifies obesity as BMI => 25 Kg/M2 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Bērni, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 357 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2023 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. NB: VERY SMALL SAMPLE SIZE |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
Bērni, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 337 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2022 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | English summary currently unavailable. NB: VERY SMALL SAMPLE SIZE |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
Bērni, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 393 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | NB NOTE VERY SMALL SAMPLE SIZE |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
Bērni, 1996-2000
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 3083 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Matsushita, Yumi, et al. “Trends in Childhood Obesity in Japan over the Last 25 Years from the National Nutrition Survey.” Obesity Research, vol. 12, no. 2, Feb. 2004, pp. 205–214, 10.1038/oby.2004.27. Accessed 08.11.21. |
| Cutoffs: | IOTF |
Liekais svars/aptaukošan?s p?c re?iona
B?rni, 1996-2000
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 6-14 |
| Izlases lielums: | 3083 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Matsushita, Yumi, et al. “Trends in Childhood Obesity in Japan over the Last 25 Years from the National Nutrition Survey.” Obesity Research, vol. 12, no. 2, Feb. 2004, pp. 205–214, 10.1038/oby.200a4.27. Accessed 08.11.21. |
| Cutoffs: | IOTF |
Liekais svars/aptaukoÅ¡anÄs pÄ“c sociÄlekonomiskÄs grupas
Pieaugušie, 2014
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 6000 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Kurotani, Kayo, et al. “Diet Quality of Japanese Adults with Respect to Age, Sex, and Income Level in the National Health and Nutrition Survey, Japan.” Public Health Nutrition, vol. 23, no. 5, 18 Nov. 2019, pp. 821–832, 10.1017/s1368980019002088. Accessed 08.11.21. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Data from National Health and Nutrition Survey, Japan 2014 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Vīrieši, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20-64 |
| Izlases lielums: | 2,491 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Household income level (Japanese yen) |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20-64 |
| Izlases lielums: | 2,491 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Household income level (Japanese yen) |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Bērni, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-11 |
| Izlases lielums: | 397 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Prevalence of overweight and obesity by household income. Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | IOTF |
Bērni, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-11 |
| Izlases lielums: | 397 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Prevalence of overweight and obesity by Paternal Occupation (Maternal Occupation also available) Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | IOTF |
Double burden of underweight & overweight
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Atsauces: | 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. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Age Standardised estimates |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Bērni, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 5-19 |
| Atsauces: | 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. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Age standardised estimates |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
Nepietiekamas fiziskÄs aktivitÄtes
Pieaugušie, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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)-(-) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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. |
Vīrieši, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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)-(-) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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. |
Sievietes, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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)-(-) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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. |
Pieaugušie, 2016
| Atsauces: | 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 |
Vīrieši, 2016
| Atsauces: | 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 |
Sievietes, 2016
| Atsauces: | 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 |
Estimated per capita fruit intake
Pieaugušie, 2017
| Vecums: | 25+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Estimated per capita fruit intake (g/day) |
Estimated per capita processed meat intake
Pieaugušie, 2017
| Vecums: | 25+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Estimated per-capita whole grains intake (g/day) |
GarÄ«gÄ veselÄ«ba – depresijas traucÄ“jumi
Pieaugušie, 2021
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depression per 100,000 population (adults 20+ years) |
Vīrieši, 2021
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depression per 100,000 population (adults 20+ years) |
Pieaugušie, 2015
| Atsauces: | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % of population with depression disorders |
Bērni, 2021
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Zēni, 2021
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
GarÄ«gÄ veselÄ«ba – trauksmes problÄ“mas
Pieaugušie, 2021
| Vecums: | 20+ |
| Atsauces: | 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). |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with anxiety per 100,000 population |
Vīrieši, 2021
| Vecums: | 20+ |
| Atsauces: | 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). |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with anxiety per 100,000 population |
Sievietes, 2021
| Vecums: | 20+ |
| Atsauces: | 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). |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with anxiety per 100,000 population |
Pieaugušie, 2015
| Atsauces: | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % of population with anxiety disorders |
Bērni, 2021
| Atsauces: | 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) |
Zēni, 2021
| Atsauces: | 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) |
Meitenes, 2021
| Atsauces: | 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
Pieaugušie, 2024
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | The percent of the population whose food budget is below the cost of a healthy diet. |
Pieaugušie, 2022
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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. |
Barības vada vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
Sievietes, 2022
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
KolorektÄlais vÄ“zis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Dzemdes vēzis
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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 10.01.2195 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
PaaugstinÄts asinsspiediens
Pieaugušie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vīrieši, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
PaaugstinÄts holesterÄ«na lÄ«menis
Pieaugušie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vīrieši, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
PaaugstinÄts glikozes lÄ«menis asinÄ«s
Vīrieši, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabēta izplatība
Pieaugušie, 2024
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Pieaugušie, 2021
| Vecums: | 20-79 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-adjusted comparative prevalence of diabetes, % |
Pieaugušie, 2019
| Vecums: | 20-79 |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Diabetes age-adjusted comparative prevalence (%). |
Pieaugušie, 2017
| Atsauces: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Leukemia
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Multiple Myeloma
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Non Hodgkin Lymphoma
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Thyroid Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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? | Incoming |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| 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)? | Absent |
| Mandatory limit of trans fats in place (all settings)? | Absent |
| 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? | Present |
| 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? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated June 16, 2025
Download contextual factors as a PDF Contextual factors definitions