Pakistāna
Lower-middle 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
Notiek datu ielÄde – lÅ«dzu, uzgaidiet
ValstÄ« pastÄvoÅ¡ie ar aptaukoÅ¡anos saistÄ«tie riski *6,5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.AptaukoÅ¡anÄs risks bÄ“rnÄ«bÄ *5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Report cards
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IedzÄ«votÄju sadalÄ«jums
IetekmÄ“jošie faktori
Nepietiekamas aktivitÄtes
Bezalkoholisko dzērienu patēriņš
Augļu patēriņš
DÄrzeņu patÄ“riņš
Ä€trÄs Ä“dinÄÅ¡anas produktu patÄ“riņš
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.Barošana ar krūti
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 stratÄ“Ä£ija attiecÄ«bÄ uz aptaukoÅ¡anos
StratÄ“Ä£ija uztura vai veselÄ«bas jomÄ
Fiziska aktivitÄte
Nodokļi/subsÄ«dijas pÄrtikai vai dzÄ“rieniem
Sabiedrības iniciatīvas
StarptautiskÄs stratÄ“Ä£ijas saistÄ«bÄ ar aptaukoÅ¡anos
NCD stratēģija
Training
Barošana ar krūti
LejupielÄdÄ“t ziņojumu kartÄ«ti
Contextual factors
AptaukoÅ¡anÄs izplatÄ«ba
Sievietes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 123092 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Nutritional status of non-pregnant women of reproductive age |
| 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, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 3722 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.pdf |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2013-2014
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 18-69 |
| Izlases lielums: | 7710 |
| AptvertÄ teritorija: | ReÄ£ioni |
| Atsauces: | STEPS Pakistan 2013/14 Fact Sheet (full report would not download) https://www.who.int/ncds/surveillance/steps/2014_Pakistan_STEPS_FactSheet.pdf (last accessed 05.11.19) Report https://www.who.int/ncds/surveillance/steps/2014_Pakistan_STEPS_Report.pdf (last accessed 19.10.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Punjab & Siindh Province of Pakistan STEPS |
| 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, 2012-2013
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 4170 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan and ICF International. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 1990-1994
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 8972 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Jafar TH, Chaturvedi N and Pappas G. (2006). Prevalence of overweight and obesity and their association with hypertension and diabetes mellitus in an Indo-Asian population. CMAJ, 175(9):1071 - 1077. |
| 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. | |
BÄ“rni, 2021
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 9-17 |
| Izlases lielums: | 3551 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
| Cutoffs: | CDC US 2000 BMI charts |
BÄ“rni, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-19 |
| Izlases lielums: | 103618 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | BMI-for-age cut-offs also available NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 21.10.20)' |
| Cutoffs: | WHO |
BÄ“rni, 2009-2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 5-12 |
| Izlases lielums: | 1860 |
| AptvertÄ teritorija: | ReÄ£ioni |
| Atsauces: | Mushtaq MU, Gull S, Mushtaq K, Agdullah HM, Khurshid U, Shahid U, Shad MA, Akram J. Height, weight and BMI percentiles and nutritional status relative to the international growth references among Pakistani school-aged children. BMC Pediatrics 2012, 12:31 doi:10.1186/1471-2431-12-31 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Region: Lahore, IOTF Cut Off (it assumed that the paper oveweight includes obesity) |
| Cutoffs: | IOTF |
BÄ“rni, 2008-2009
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 13-15 |
| Izlases lielums: | 5192 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Global School based Student Health Survey Pakistan available at https://www.who.int/ncds/surveillance/gshs/Pakistan_2009_FS.pdf?ua=1(last accessed 14.12.20) |
| Cutoffs: | WHO |
0-5 years, 2017-2018
| Vecums: | 0-5 |
| Izlases lielums: | 3547 |
| Atsauces: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| 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, 2012-2013
| Vecums: | 0-5 |
| Izlases lielums: | 3617 |
| Atsauces: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| 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, 2011
| Vecums: | 0-5 |
| Izlases lielums: | 23046874 |
| Atsauces: | NNS: National nutrition survey Pakistan, 2011. Islamabad, Pakistan: Aga Khan University, PMRC, Government of Pakistan and UNICEF, 2012 |
| 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, 2001
| Vecums: | 0-5 |
| Izlases lielums: | 9584 |
| Atsauces: | NNS: National nutrition survey 2001-2002. Islamabad, Pakistan: Planning Commission, Government of Pakistan and UNICEF, 2004 |
| 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, 1990-1991
| Vecums: | 0-5 |
| Izlases lielums: | 4366 |
| Atsauces: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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 |
Meitenes, 1990-1991
| Vecums: | 0-5 |
| Izlases lielums: | 4367 |
| Atsauces: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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, 1990-1994
| Vecums: | 0-5 |
| Izlases lielums: | 3240 |
| Atsauces: | Other: National health survey of Pakistan (NHSP, 1990-94): Health profile of the people of Pakistan. Islamabad, Pakistan, 1998 |
| 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, 1985-1987
| Vecums: | 0-5 |
| Izlases lielums: | 6707 |
| Atsauces: | NNS: National nutrition survey 1985-87 report. National Institute of Health, Nutrition Division. Islamabad, Pakistan, 1988 |
| 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 |
% Adults living with overweight or obesity in Pakistan 2012-2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 2012: National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan and ICF International. 2017: National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.pdf 2018: Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| 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 | |
Trend Adult Obesity 2012 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 2012: National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan and ICF International. 2017: National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.pdf 2018: Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| 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
Sievietes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 123092 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Non-pregnant women |
| 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, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 4690 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://dhsprogram.com/pubs/pdf/FR354/FR354.pdf (last accessed 06.06.2022) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2011-2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 4,767 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
| 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. | |
BÄ“rni, 2021
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 9-17 |
| Izlases lielums: | 3551 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
| Cutoffs: | CDC US 2000 BMI charts |
ZÄ“ni, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-19 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
Meitenes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-19 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
0-5 years, 2017-2018
| Izlases lielums: | 3547 |
| Atsauces: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| 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, 2012-2013
| Izlases lielums: | 3617 |
| Atsauces: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| 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, 1990-1991
| Izlases lielums: | 4366 |
| Atsauces: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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 |
Liekais svars/aptaukoÅ¡anÄs pÄ“c vecuma
Sievietes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 123092 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Nutritional status of non-pregnant women of reproductive age |
| 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, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 4690 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2011-2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 4,767 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
| 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 |
| Izlases lielums: | 3916 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Prevalence and Sociodemographic Factors of Overweight and Obesity among Pakistani Adults. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118000/ (last accessed 06.06.2022) |
| 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 |
| Izlases lielums: | 6147 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Prevalence and Sociodemographic Factors of Overweight and Obesity among Pakistani Adults. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118000/ (last accessed 06.06.2022) |
| 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. | |
BÄ“rni, 2021
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 3551 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
| Cutoffs: | CDC US 2000 BMI charts |
Liekais svars/aptaukoÅ¡anÄs pÄ“c reÄ£iona
Sievietes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 123092 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Nutritional status of non-pregnant women of reproductive age |
| 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, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 1982 |
| AptvertÄ teritorija: | Regional - Punjab |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 898 |
| AptvertÄ teritorija: | Regional - Sindh |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 576 |
| AptvertÄ teritorija: | Regional - Khyber Pakhtunkhwa |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 175 |
| AptvertÄ teritorija: | Regional - Balochistan |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2011-2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 4,767 |
| Atsauces: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
| 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. | |
BÄ“rni, 2021
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 9-17 |
| Izlases lielums: | 3551 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
| Cutoffs: | CDC US 2000 BMI charts |
ZÄ“ni, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-19 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
Meitenes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-19 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
BÄ“rni, 2009
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 5-12 |
| Izlases lielums: | 1860 |
| AptvertÄ teritorija: | Lahore, Pakistan |
| Atsauces: | Mushtaq MU, Gull S, Abdullah HM et al. Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health, 2011: Volume 11, Number 1, Page 1 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Overweight (> + 1SD) and obesity (> + 2SD) were defined using the World Health Organization child growth reference 2007. |
| Cutoffs: | WHO |
0-5 years, 2017-2018
| Izlases lielums: | 3547 |
| Atsauces: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| 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, 2012-2013
| Izlases lielums: | 3617 |
| Atsauces: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| 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, 2011
| Izlases lielums: | 23046874 |
| Atsauces: | NNS: National nutrition survey Pakistan, 2011. Islamabad, Pakistan: Aga Khan University, PMRC, Government of Pakistan and UNICEF, 2012 |
| 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, 2001
| Izlases lielums: | 9584 |
| Atsauces: | NNS: National nutrition survey 2001-2002. Islamabad, Pakistan: Planning Commission, Government of Pakistan and UNICEF, 2004 |
| 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, 1990-1991
| Izlases lielums: | 4366 |
| Atsauces: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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, 1990-1994
| Izlases lielums: | 3240 |
| Atsauces: | Other: National health survey of Pakistan (NHSP, 1990-94): Health profile of the people of Pakistan. Islamabad, Pakistan, 1998 |
| 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 |
Liekais svars/aptaukoÅ¡anÄs pÄ“c sociÄlekonomiskÄs grupas
Sievietes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 123092 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Non-pregnant women |
| 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, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 4690 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://dhsprogram.com/pubs/pdf/FR354/FR354.pdf (last accessed 06.06.2022) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2011-2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 4,767 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
| 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. | |
ZÄ“ni, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-19 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
Meitenes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-19 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | BMI-for-age cut-offs also available |
| Cutoffs: | WHO |
BÄ“rni, 2009
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 5-12 |
| Izlases lielums: | 1860 |
| AptvertÄ teritorija: | Subnational - Lahore |
| Atsauces: | Mushtaq MU, Gull S, Abdullah HM, Shahid U, Shad MA, Akram J. Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health. 2011;11:724. doi:10.1186/1471-2458-11-724. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Overweight (> + 1SD) and obesity (> + 2SD) were defined using the World Health Organization child growth reference 2007. |
| Cutoffs: | WHO |
0-5 years, 2017-2018
| Izlases lielums: | 3547 |
| Atsauces: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| 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, 2012-2013
| Izlases lielums: | 3617 |
| Atsauces: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| 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, 1990-1991
| Izlases lielums: | 4366 |
| Atsauces: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| 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 |
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) |
BÄ“rni, 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 |
0-5 years, 2017-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS and ICF International, 2013 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | National nutrition survey Pakistan, 2011. Islamabad, Pakistan: Aga Khan University, PMRC, Government of Pakistan and UNICEF, 2012 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2001
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | National nutrition survey 2001-2002. Islamabad, Pakistan: Planning Commission, Government of Pakistan and UNICEF, 2004 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1990-1991
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
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 |
BÄ“rni, 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) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | % 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % Adolescents insufficiently active (age standardised estimate) |
ZÄ“ni, 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) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | % 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % 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) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | % 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % Adolescents insufficiently active (age standardised estimate) |
BÄ“rni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | % 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % Adolescents insufficiently active (age standardised estimate) |
ZÄ“ni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | % 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | % 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % Adolescents insufficiently active (age standardised estimate) |
GÄzÄ“to bezalkoholisko dzÄ“rienu vidÄ“jais patÄ“riņa biežums dienÄ
BÄ“rni, 2009-2015
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| 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
| 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) |
Augļu patÄ“riņa, kas ir mazÄks par ikdienas patÄ“riņu, Ä«patsvars
BÄ“rni, 2009
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 12-17 |
| AptvertÄ teritorija: | Valsts |
| 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
DÄrzeņu patÄ“riņa, kas ir mazÄks par ikdienas patÄ“riņu, Ä«patsvars
BÄ“rni, 2009
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 12-17 |
| AptvertÄ teritorija: | Valsts |
| 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
VidÄ“jais ÄtrÄs Ä“dinÄÅ¡anas iestÄžu apmeklÄ“Å¡anas biežums nedēļÄ
BÄ“rni, 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 |
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 |
BÄ“rni, 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) |
ZÄ“ni, 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 |
BÄ“rni, 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) |
ZÄ“ni, 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) |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
0-5 years, 2010-2023
| Atsauces: | Pakistan 2018 National Nutrition Survey |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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 10.01.2273 |
| 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? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| 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)? | Present |
| Mandatory limit of trans fats in place (all settings)? | Present |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| 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)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated June 19, 2025
Download contextual factors as a PDF Contextual factors definitions
