Indonēzija
- Pārskats
- Aptaukošanās izplatība
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Notiek datu ielāde – lūdzu, uzgaidiet
Valst? past?vošie ar aptaukošanos saist?tie riski *7,5/10This 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.Aptaukošan?s risks b?rn?b? *7/11This 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).
Aptaukošanās izplatība
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Aptaukošanās cēloņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Barošana ar krūti
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Blakusslimības
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Valsts stratēģija attiecībā uz aptaukošanos
Stratēģija uztura vai veselības jomā
Mārketings
Fiziska aktivitāte
Nodokļi/subsīdijas pārtikai vai dzērieniem
Marķējums
NCD stratēģija
Pārvaldības vai apstrādes vadlīnijas
Barošana ar krūti
Obesity Target
Multisectoral national mechanism for obesity
Lejupielādēt ziņojumu kartīti
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19+ |
Izlases lielums: | 624563 |
Aptvertā teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Definīcijas (pieejamas tikai angļu valodā): | Overweight classified as BMI 25-26.9 Obesity classified as BMI = or > 27 Obesity |
Cutoffs: | Other |
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, 2013
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvertā teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Definīcijas (pieejamas tikai angļu valodā): | Uses Indonesian BMI cut off points. Overweight is BMI 25-27.0 kg/m2. Obesity is BMI >27 kg/m2. |
Cutoffs: | Other |
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, 2000-2001
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 20593 |
Aptvertā teritorija: | Valsts |
Atsauces: | Pradono J. (2003). Prevalensi penyakit tidak menular di Indonesia menurut pendekatan STEPS fakot risiko (data study morbiditas). Department Kesehatan. |
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. |
Sievietes, 1996
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-49 |
Izlases lielums: | 5817 |
Aptvertā teritorija: | Administratīvi teritoriālais iedalījums |
Atsauces: | Nurdiati DS, Hakimi M, Wahab A, and Winkvist A. Concurrent prevalence of chronic energy deficiency and obesity among women in Purworejo, central Java, Indonesia. UNU Press |
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, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-12 |
Izlases lielums: | 165682 |
Aptvertā teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Definīcijas (pieejamas tikai angļu valodā): | Z Score 1 - < 2 Overweight Z score > 2 Obesity |
Cutoffs: | Other |
Bērni, 2015
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 13-17 |
Izlases lielums: | 11142 |
Aptvertā teritorija: | Valsts |
Atsauces: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/2015_Indonesia_GSHS_Fact_Sheet.pdf (last accessed 28.09.20) |
Cutoffs: | WHO |
Bērni, 2007
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 13-15 |
Izlases lielums: | 3116 |
Aptvertā teritorija: | Valsts |
Atsauces: | Global School-based Student Health Survey, Indonesia 2007 Fact Sheet https://www.who.int/ncds/surveillance/gshs/2007_Indonesia_fact_sheet.pdf?ua=1 (last accessed 24.11.20) |
Cutoffs: | WHO |
Infants, 2018
Vecums: | 0-5 |
Atsauces: | Other: National report on basic health research, RISKESDAS, 2018. Jakarta, Indonesia, |
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 |
Infants, 2013
Vecums: | 0-5 |
Izlases lielums: | 75232 |
Atsauces: | Other: National report on basic health research, RISKESDAS, 2013. Jakarta, Indonesia, 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 |
Infants, 2010
Vecums: | 0-5 |
Izlases lielums: | 18768 |
Atsauces: | Other: National report on basic health research, Riskesdas, 2010. Jakarta, Indonesia, 2012 |
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 |
Infants, 2007
Vecums: | 0-5 |
Izlases lielums: | 77808 |
Atsauces: | Other: Indonesia Basic Health Survey, Riskesdas, 2007, Ministry of Health. |
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 |
Infants, 2004
Vecums: | 0-5 |
Izlases lielums: | 20578030 |
Atsauces: | Other: National Household Health Survey (SKRT) 2004, Jakarta, Indonesia, 2007 |
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 |
Infants, 2001
Vecums: | 0-5 |
Izlases lielums: | 96167 |
Atsauces: | Surveillance: Summary: Second Annual Report of the Nutrition and Health Surveillance System in Indonesia with data from the period 2000-2001 [2001 Extract] |
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 |
Infants, 2000
Vecums: | 0-5 |
Izlases lielums: | 106094 |
Atsauces: | Surveillance: Summary: Second Annual Report of the Nutrition and Health Surveillance System in Indonesia with data from the period 2000-2001 [2000 Extract] |
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 |
Infants, 1996
Vecums: | 0-5 |
Izlases lielums: | 9227 |
Atsauces: | MICS: Indonesia multiple indicator cluster survey (MICS) 1995. Jakarta: UNICEF, 1997 |
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 |
Liekais svars/aptaukošan?s p?c izgl?t?bas
V?rieši, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 19+ |
Izlases lielums: | 624563 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Piez?mes (pieejamas tikai ang?u valod?): | Different Cut off |
Defin?cijas (pieejamas tikai ang?u valod?): | Overweight BMI 25-<27 Kg/m2 Obesity BMI => 27 Kg/m2 |
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. |
Sievietes, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 19+ |
Izlases lielums: | 624563 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Piez?mes (pieejamas tikai ang?u valod?): | Different Cut off |
Defin?cijas (pieejamas tikai ang?u valod?): | Overweight BMI 25-<27 Kg/m2 Obesity BMI => 27 Kg/m2 |
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. |
V?rieši, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
Sievietes, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
B?rni, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 16-18 |
Izlases lielums: | 51826 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Piez?mes (pieejamas tikai ang?u valod?): | Based on parental education |
Defin?cijas (pieejamas tikai ang?u valod?): | Z Score 1 - < 2 Overweight Z score > 2 Obesity |
Cutoffs: | Other |
Liekais svars/aptaukošan?s p?c vecuma
Pieaugušie, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Izlases lielums: | 624563 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Piez?mes (pieejamas tikai ang?u valod?): | Not standard cut off |
Defin?cijas (pieejamas tikai ang?u valod?): | Overweight BMI 25-<27 Kg/m2 Obesity => 27 Kg/m2 |
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. |
Pieaugušie, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
B?rni, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Izlases lielums: | 277528 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Defin?cijas (pieejamas tikai ang?u valod?): | Z Score 1 - < 2 Overweight Z score > 2 Obesity |
Cutoffs: | Other |
B?rni, 2015
Apsekojuma veids: | Pašu zi?ojums |
Izlases lielums: | 11142 |
Aptvert? teritorija: | Valsts |
Atsauces: | Global School-based Student Health Survey https://www.who.int/ncds/surveillance/gshs/2015_Indonesia_GSHS_Fact_Sheet.pdf |
Cutoffs: | WHO |
Liekais svars/aptaukošan?s p?c re?iona
Pieaugušie, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 19+ |
Izlases lielums: | 624563 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Piez?mes (pieejamas tikai ang?u valod?): | Please note different cut off |
Defin?cijas (pieejamas tikai ang?u valod?): | Overweight BMI 25-<27 Kg/m2 Obesity BMI => 27 Kg/m2 |
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. |
V?rieši, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 19+ |
Izlases lielums: | 624563 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Piez?mes (pieejamas tikai ang?u valod?): | Please note different cut off |
Defin?cijas (pieejamas tikai ang?u valod?): | Overweight BMI 25-<27 Kg/m2 Obesity BMI => 27 Kg/m2 |
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. |
Sievietes, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 19+ |
Izlases lielums: | 624563 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Piez?mes (pieejamas tikai ang?u valod?): | Please note different cut off |
Defin?cijas (pieejamas tikai ang?u valod?): | Overweight BMI 25-<27 Kg/m2 Obesity BMI => 27 Kg/m2 |
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. |
V?rieši, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
Sievietes, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
Z?ni, 2015
Apsekojuma veids: | Pašu zi?ojums |
Vecums: | 13-17 |
Izlases lielums: | 11,142 |
Aptvert? teritorija: | Valsts |
Atsauces: | World Health Organization. Global school-based student health survey (GSHS). Available from: https://www.who.int/ncds/surveillance/gshs/factsheets/en/. [Accessed 20 February 2019]. |
Piez?mes (pieejamas tikai ang?u valod?): | WHO cut-offs used and based on Self-reported data. |
Cutoffs: | WHO |
Meitenes, 2015
Apsekojuma veids: | Pašu zi?ojums |
Vecums: | 13-17 |
Izlases lielums: | 11,142 |
Aptvert? teritorija: | Valsts |
Atsauces: | World Health Organization. Global school-based student health survey (GSHS). Available from: https://www.who.int/ncds/surveillance/gshs/factsheets/en/. [Accessed 20 February 2019]. |
Piez?mes (pieejamas tikai ang?u valod?): | WHO cut-offs used and based on Self-reported data. |
Cutoffs: | WHO |
Infants, 2018
Atsauces: | Other: National report on basic health research, RISKESDAS, 2018. Jakarta, Indonesia, |
Piez?mes (pieejamas tikai ang?u valod?): | 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Infants, 2013
Izlases lielums: | 75232 |
Atsauces: | Other: National report on basic health research, RISKESDAS, 2013. Jakarta, Indonesia, 2014 |
Piez?mes (pieejamas tikai ang?u valod?): | 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Infants, 2010
Izlases lielums: | 18768 |
Atsauces: | Other: National report on basic health research, Riskesdas, 2010. Jakarta, Indonesia, 2012 |
Piez?mes (pieejamas tikai ang?u valod?): | 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Infants, 2007
Izlases lielums: | 77808 |
Atsauces: | Other: Indonesia Basic Health Survey, Riskesdas, 2007, Ministry of Health. |
Piez?mes (pieejamas tikai ang?u valod?): | 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Infants, 2004
Izlases lielums: | 20578030 |
Atsauces: | Other: National Household Health Survey (SKRT) 2004, Jakarta, Indonesia, 2007 |
Piez?mes (pieejamas tikai ang?u valod?): | 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Liekais svars/aptaukošan?s p?c vecuma un re?iona
B?rni, 2018
Apsekojuma veids: | M?r?t? v?rt?ba |
Izlases lielums: | 277528 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2018 available at http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf (last accessed 11.05.2022) |
Defin?cijas (pieejamas tikai ang?u valod?): | Z Score 1 - < 2 Overweight Z score > 2 Obesity |
Cutoffs: | Other |
Liekais svars/aptaukošan?s p?c soci?lekonomisk?s grupas
V?rieši, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
Sievietes, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
V?rieši, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
Sievietes, 2013
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 18+ |
Izlases lielums: | 649549 |
Aptvert? teritorija: | Valsts |
Atsauces: | Riskesdas 2013. Reanalysis: Atmarita, National Institute of Health Research and Development/NIHRD, MOH of Indonesia. |
Piez?mes (pieejamas tikai ang?u valod?): | Indonesian cut off's also available |
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. |
Nepietiekamas fizisk?s aktivit?tes
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 |
V?rieši, 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 |
B?rni, 2016
Apsekojuma veids: | Pašu zi?ojums |
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) |
Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Z?ni, 2016
Apsekojuma veids: | Pašu zi?ojums |
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) |
Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
Apsekojuma veids: | Pašu zi?ojums |
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) |
Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
B?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 |
Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Z?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 |
Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | % 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 |
Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Gāzēto bezalkoholisko dzērienu vidējais patēriņa biežums dienā
Bērni, 2014-2015
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: | M?r?t? v?rt?ba |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per-capita fruit intake (g/day) |
Augļu patēriņa, kas ir mazāks par ikdienas patēriņu, īpatsvars
Bērni, 2008-2015
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, 2008-2015
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, 2014-2015
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: | M?r?t? v?rt?ba |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per-capita whole grains intake (g/day) |
Gar?g? vesel?ba – depresijas trauc?jumi
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. |
Defin?cijas (pieejamas tikai ang?u valod?): | % of population with depression disorders |
Gar?g? vesel?ba – trauksmes probl?mas
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. |
Defin?cijas (pieejamas tikai ang?u valod?): | % of population with anxiety disorders |
% z?dai?i, kas pirmos 5 m?nešus baroti tikai ar kr?ti
B?rni, 2015-2020
Aptvert? teritorija: | Valsts |
Atsauces: | Indonesia Demographic and Health Survey 2017. Jakarta, Indonesia: BKKBN, BPS, Kemenkes, and ICF. |
Piez?mes (pieejamas tikai ang?u valod?): | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Defin?cijas (pieejamas tikai ang?u valod?): | % exclusively breastfed 0-5 months |
Bar?bas vada v?zis
V?rieši, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Kr?ts dziedzera v?zis
Sievietes, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Kolorekt?lais v?zis
V?rieši, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Aizku??a dziedzera v?zis
V?rieši, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Žultsp?š?a v?zis
V?rieši, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Nieru v?zis
V?rieši, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Dzemdes v?zis
Sievietes, 2020
Vecums: | 20+ |
Aptvert? 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 10.01.2181 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Paaugstin?ts asinsspiediens
Pieaugušie, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
V?rieši, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstin?ts holester?na l?menis
Pieaugušie, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
V?rieši, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Defin?cijas (pieejamas tikai ang?u valod?): | % 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 |
Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstin?ts glikozes l?menis asin?s
V?rieši, 2014
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diab?ta izplat?ba
Pieaugušie, 2021
Vecums: | 20-79 |
Aptvert? 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 |
Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
Defin?cijas (pieejamas tikai ang?u valod?): | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Present |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Absent |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Incoming |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Absent |
Mandatory limit of trans fats in place (all settings)? | Absent |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
Mandatory restriction on broadcast media? | Present |
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? | Present |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Present |
Evidence-based dietary guidelines and/or RDAs? | Absent |
National target(s) on reducing obesity? | Present |
Guidelines/policy on obesity treatment? | Present |
Promotion of breastfeeding? | Unknown |
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 December 1, 2022
Download contextual factors as a PDF Contextual factors definitions