Seišelu Salas
High income
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Report cards
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Iedzīvotāju sadalījums
Ietekmējošie faktori
Nepietiekamas aktivitātes
Bezalkoholisko dzērienu patēriņš
Augļu patēriņš
Dārzeņu patēriņš
Ātrās ēdināšanas produktu patēriņš
Pārstrādātas gaļas patēriņš
Graudaugu patēriņš
Depresija
Trauksme
Aptaukošanās cēloņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Unaffordable diet
Lejupielādēt ziņojumu kartīti
Blakusslimības
Politikas (pieejamas tikai angļu valodā)
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25-64 |
Izlases lielums: | 1240 |
Aptvertā teritorija: | Valsts |
Atsauces: | National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2004
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25-64 |
Izlases lielums: | 1255 |
Aptvertā teritorija: | Valsts |
Atsauces: | Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1994
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25-64 |
Izlases lielums: | 1059 |
Atsauces: | Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1989
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25-64 |
Izlases lielums: | 1081 |
Atsauces: | P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2019
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 9-16 |
Izlases lielums: | Approx 5000 |
Aptvertā teritorija: | Valsts |
Atsauces: | Mangroo G, Marie G, Bovet P. School Screening Programme: Update of the prevalence of overweight and obesity between 1998 and 2019. Data published in the National Health Strategic Plan 2022-2026 http://www.health.gov.sc/wp-content/uploads/National-Health-Strategic-Plan-2022-2026-Full-Version.pdf |
Piezīmes (pieejamas tikai angļu valodā): | Please note: Original paper not found, methodology found in earlier publications and methodology assumed to be the same though not confirmed. |
Cutoffs: | IOTF |
Bērni, 2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-16 |
Izlases lielums: | 3738 |
Aptvertā teritorija: | Valsts |
Atsauces: | Aly R, Viswanathan B, Mangroo G, Gedeon J, Bovet P. Trends in obesity, overweight, and thinness in children in the seychelles between 1998 and 2016.Obesity (Silver Spring). 2018 Feb 5. doi: 10.1002/oby.22112. [Epub ahead of print] |
Piezīmes (pieejamas tikai angļu valodā): | Data available between 1998-2016 IOTF International Cut off applied |
Cutoffs: | IOTF |
Bērni, 2015
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 13-17 |
Izlases lielums: | 2540 |
Aptvertā teritorija: | Valsts |
Atsauces: | Global School-based Student Health Survey Fact Sheet, https://www.who.int/ncds/surveillance/gshs/gshs_fs_seychelles_2015.pdf (last accessed 24.11.20) |
Cutoffs: | WHO |
Bērni, 2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-16 |
Aptvertā teritorija: | Valsts |
Atsauces: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Bērni, 2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-16 |
Aptvertā teritorija: | Valsts |
Atsauces: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Bērni, 2007
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 13-15 |
Izlases lielums: | 1432 |
Aptvertā teritorija: | Valsts |
Atsauces: | Global School-based Student Health Survey https://www.who.int/ncds/surveillance/gshs/Seychelles_2007_GSHS_Fact_Sheet.pdf?ua=1 (last accessed 24.11.20) |
Cutoffs: | WHO |
Bērni, 2006
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-16 |
Aptvertā teritorija: | Valsts |
Atsauces: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Bērni, 2004-2006
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 9-15 |
Izlases lielums: | 8462 |
Aptvertā teritorija: | Valsts |
Atsauces: | Bovet P, Chiolero A, Madeleine G, Paccaud F. Prevalence of overweight and underweight in public and private schools in the Seychelles. IJPO 2010;5:274-278 |
Piezīmes (pieejamas tikai angļu valodā): | 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. The survey looks specifically at schools and therefore the total sample may not be truly representative, though currently the best available. |
Cutoffs: | IOTF |
Bērni, 2004
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-16 |
Aptvertā teritorija: | Valsts |
Atsauces: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Bērni, 2002
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-16 |
Aptvertā teritorija: | Valsts |
Atsauces: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Bērni, 2000
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-16 |
Aptvertā teritorija: | Valsts |
Atsauces: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
Bērni, 1999
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 17 |
Izlases lielums: | 5514 |
Aptvertā teritorija: | Valsts |
Atsauces: | Steller N, Bover P, Shamlaye H, Zemel BS, Stallings VA, Paccaud F. Prevalence and risk factors for overweight and obesity in children from Seychelles, a country in rapid transition: the importance of early growth. International Journal of Obesity. 2002;26:214-219 |
Cutoffs: | IOTF |
Bērni, 1998
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-16 |
Aptvertā teritorija: | Valsts |
Atsauces: | Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles |
Cutoffs: | IOTF |
0-5 years, 2012
Vecums: | 0-5 |
Izlases lielums: | 5008 |
Atsauces: | Other: The nutritional status and associated risk factors of 0-5 year old children in Seychelles. 7706 Med Health Project (thesis). Queensland, Australia: Griffith University, 2014. |
Piezīmes (pieejamas tikai angļu valodā): | 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. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1987-1988
Vecums: | 0-5 |
Izlases lielums: | 836 |
Atsauces: | Other: Nutritional status of Seychellois children (unpublished data). Victoria, Seychelles, 1989 |
Piezīmes (pieejamas tikai angļu valodā): | 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. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Meitenes
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1998, 2000, 2002, 2004, 2006, 2012, 2014: Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles 2016: Aly R, Viswanathan B, Mangroo G, Gedeon J, Bovet P. Trends in obesity, overweight, and thinness in children in the seychelles between 1998 and 2016.Obesity (Silver Spring). 2018 Feb 5. doi: 10.1002/oby.22112. [Epub ahead of print] |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Zēni
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1998, 2000, 2002, 2004, 2006, 2012, 2014: Mangroo G, Viswanathan B, Marie G, Bovet P (2017). Overweight, obesity and walking time among children and adolescents: findings from the School Screening Program in 2016 and comparison with findings since 1998. Public Health Authority, Ministry of Health, Seychelles 2016: Aly R, Viswanathan B, Mangroo G, Gedeon J, Bovet P. Trends in obesity, overweight, and thinness in children in the seychelles between 1998 and 2016.Obesity (Silver Spring). 2018 Feb 5. doi: 10.1002/oby.22112. [Epub ahead of print] |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Adults living with obesity in the Seychelles 1989-2013
Vīrieši
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1989: P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 1994: Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 2004: Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 2013: National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Sievietes
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1989: P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 1994: Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 2004: Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 2013: National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Adults living with overweight or obesity in the Seychelles 1989-2013
Vīrieši
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1989: P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 1994: Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 2004: Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 2013: National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Sievietes
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | 1989: P. Bovet, A. Chiolero, C. Shamlaye and F. Paccaud. Secular trends in overweight in Seychelles. Obesity Reviews 2008;9:511-517 1994: Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, Burnier Michel. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9 2004: Bovet P, Chiolero A, Shamlaye C and Paccaud F. (2008). Prevalence of overweight in the Seychelles:15 year trends and association with socio-economic status. Obesity Reviews, 9: 511 - 517 2013: National Survey of Noncommunicable Diseases in Seychelles 2013-2014 (Seychelles Heart Study IV) available at https://serval.unil.ch/resource/serval:BIB_1233D41F200A.P001/REF.pdf (available at 20.10.20) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Liekais svars/aptaukošanās pēc vecuma
Bērni, 1999
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 5514 |
Aptvertā teritorija: | Valsts |
Atsauces: | Steller N, Bover P, Shamlaye H, Zemel BS, Stallings VA, Paccaud F. Prevalence and risk factors for overweight and obesity in children from Seychelles, a country in rapid transition: the importance of early growth. International Journal of Obesity. 2002;26:214-219 |
Cutoffs: | IOTF |
Double burden of underweight & overweight
Pieaugušie, 2022
Apsekojuma veids: | Mērītā vērtība |
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. |
Piezīmes (pieejamas tikai angļu valodā): | Age Standardised estimates |
Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Bērni, 2022
Apsekojuma veids: | Mērītā vērtība |
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. |
Piezīmes (pieejamas tikai angļu valodā): | Age standardised estimates |
Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2012-2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 0-5 |
Atsauces: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
Piezīmes (pieejamas tikai angļu valodā): | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
Nepietiekamas fiziskās aktivitātes
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 |
Bērni, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % 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. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % 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. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % 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. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Bērni, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % 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. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % 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. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % 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. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Gāzēto bezalkoholisko dzērienu vidējais patēriņa biežums dienā
Bērni, 2009-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 12-17 |
Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita fruit intake
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita fruit intake (g/day) |
Augļu patēriņa, kas ir mazāks par ikdienas patēriņu, īpatsvars
Bērni, 2009-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 12-17 |
Atsauces: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Definīcijas (pieejamas tikai angļu valodā): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Dārzeņu patēriņa, kas ir mazāks par ikdienas patēriņu, īpatsvars
Bērni, 2009-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 12-17 |
Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Definīcijas (pieejamas tikai angļu valodā): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Vidējais ātrās ēdināšanas iestāžu apmeklēšanas biežums nedēļā
Bērni, 2009-2015
Vecums: | 12-17 |
Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Aptuvenais pārstrādātas gaļas patēriņš uz vienu iedzīvotāju
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita whole grains intake (g/day) |
Garīgā veselība – depresijas traucējumi
Pieaugušie, 2021
Vecums: | 20+ |
Aptvertā 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) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Vīrieši, 2021
Vecums: | 20+ |
Aptvertā 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) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
Vecums: | 20+ |
Aptvertā 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) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Pieaugušie, 2015-2021
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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Pieaugušie, 2015-2021
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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Vīrieši, 2015-2021
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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Sievietes, 2015-2021
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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Bērni, 2021
Aptvertā 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) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Zēni, 2021
Aptvertā 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) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
Aptvertā 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) |
Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garīgā veselība – trauksmes problēmas
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). |
Definīcijas (pieejamas tikai angļu valodā): | 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). |
Definīcijas (pieejamas tikai angļu valodā): | 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). |
Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Pieaugušie, 2015-2021
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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
Pieaugušie, 2015-2021
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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
Vīrieši, 2015-2021
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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
Sievietes, 2015-2021
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. |
Definīcijas (pieejamas tikai angļu valodā): | % 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, 2022
Aptvertā 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. |
Paaugstināts asinsspiediens
Pieaugušie, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | 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 |
Definīcijas (pieejamas tikai angļu valodā): | 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 |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstināts holesterīna līmenis
Pieaugušie, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definīcijas (pieejamas tikai angļu valodā): | % 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 |
Definīcijas (pieejamas tikai angļu valodā): | % 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 |
Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstināts glikozes līmenis asinīs
Vīrieši, 2014
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | 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 |
Definīcijas (pieejamas tikai angļu valodā): | 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 |
Aptvertā 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 |
Definīcijas (pieejamas tikai angļu valodā): | 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 |
Definīcijas (pieejamas tikai angļu valodā): | 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 |
Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
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? | Absent |
Back-of-pack nutrition declaration? | Present |
Color coding? | Absent |
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)? | Incoming |
Mandatory limit of trans fats in place (all settings)? | Incoming |
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? | Unknown |
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? | Absent |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Absent |
Key
Last updated October 19, 2022
Download contextual factors as a PDF Contextual factors definitions