Māršala Salas
Upper-middle income
- Pārskats
- Aptaukošanās izplatība
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Notiek datu ielāde – lūdzu, uzgaidiet
Valstī pastāvošie ar aptaukošanos saistītie riski *8/10This 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.Aptaukošanās risks bērnībā *8/11This 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
Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.
Iedzīvotāju sadalījums
Ietekmējošie faktori
Blakusslimības
Politikas (pieejamas tikai angļu valodā)
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2017-2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 2869 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Republic of Marshall Islands' 2017-2018 Hybrid STEPS Survey. https://extranet.who.int/ncdsmicrodata/index.php/catalog/742 (Accessed 06.10.20) |
| Piezīmes (pieejamas tikai angļu valodā): | Although all islands were not surveyed, the islands included make up 83% of the overall population of the Republic of Marshall Islands. Despite this, sample size was exceptionally large and included approximately 10% of all adults residing in the Republic of Marshall Islands. |
| 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, 2016-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 15-49 |
| Izlases lielums: | 673 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office and UNICEF. 2017. Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office |
| Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 15-64 |
| Izlases lielums: | 1187 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | REPUBLIC OF THE MARSHALL ISLANDS, NCD Risk Factors STEPS Report 2002 (2007) available at https://www.who.int/ncds/surveillance/steps/2002_Marshall_Islands_STEPS-Report.pdf (last accessed 19.10.20) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2020
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 15-16 |
| Izlases lielums: | 1172 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Marshall Islands Rapid Youth Survey 2020. https://www.pihoa.org/wp-content/uploads/2022/05/RMI-Rapid-Youth-Survey-2020-Final_05_21_21.pdf (Accessed 10.01.2023) |
| Definīcijas (pieejamas tikai angļu valodā): | BMI percentiles were used to determine BMI categories for those students under 17 years old |
Bērni, 2017-2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 4-16 |
| Izlases lielums: | 3271 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Passmore, E. and Smith, T., 2019. Dual Burden of Stunting and Obesity Among Elementary School Children on Majuro, Republic of Marshall Islands. Hawai'i Journal of Health & Social Welfare, 78(8), p.262. |
| Piezīmes (pieejamas tikai angļu valodā): | Region: Majuro |
| Cutoffs: | CDC |
0-5 years, 2017
| Vecums: | 0-5 |
| Izlases lielums: | 873 |
| Atsauces: | MICS-Style: Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: RMI Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistic Office, 2017 |
| 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/aptaukošanās pēc izglītības
Pieaugušie, 2017-2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 2869 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Republic of Marshall Islands' 2017-2018 STEPS Hybrid Survey. https://extranet.who.int/ncdsmicrodata/index.php/catalog/742 (Accessed 06.10.20) |
| Piezīmes (pieejamas tikai angļu valodā): | Although all islands were not surveyed, the islands included make up 83% of the overall population of the Republic of Marshall Islands. Despite this, sample size was exceptionally large and included approximately 10% of all adults residing in the Republic of Marshall Islands. |
| 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, 2016-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 15-49 |
| Izlases lielums: | 673 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office and UNICEF. 2017. Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office |
| Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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. | |
0-5 years, 2017
| Izlases lielums: | 873 |
| Atsauces: | MICS-Style: Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: RMI Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistic Office, 2017 |
| 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/aptaukošanās pēc vecuma
Pieaugušie, 2017-2018
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 2869 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Republic of Marshall Islands' 2017-2018 Hybrid Survey. https://extranet.who.int/ncdsmicrodata/index.php/catalog/742 (Accessed 06.10.20) |
| Piezīmes (pieejamas tikai angļu valodā): | Although all islands were not surveyed, the islands included make up 83% of the overall population of the Republic of Marshall Islands. Despite this, sample size was exceptionally large and included approximately 10% of all adults residing in the Republic of Marshall Islands. |
| 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, 2016-2017
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 673 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office and UNICEF. 2017. Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office |
| Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey - Mothers or female caregivers |
| 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, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 1187 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | REPUBLIC OF THE MARSHALL ISLANDS, NCD Risk Factors STEPS Report 2002 (2007) available at https://www.who.int/ncds/surveillance/steps/2002_Marshall_Islands_STEPS-Report.pdf (last accessed 19.10.20) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2017-2018
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 3271 |
| Aptvertā teritorija: | Administratīvi teritoriālais iedalījums |
| Atsauces: | Passmore, E. and Smith, T., 2019. Dual Burden of Stunting and Obesity Among Elementary School Children on Majuro, Republic of Marshall Islands. Hawai'i Journal of Health & Social Welfare, 78(8), p.262. |
| Piezīmes (pieejamas tikai angļu valodā): | CDC Cut-offs |
| Cutoffs: | CDC |
Liekais svars/aptaukošanās pēc reģiona
Sievietes, 2016-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 15-49 |
| Izlases lielums: | 673 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office and UNICEF. 2017. Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office |
| Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey - Mothers or female caregivers |
| 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, 2016-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 15-49 |
| Izlases lielums: | 673 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office and UNICEF. 2017. Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: Republic of the Marshall Islands Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistics Office |
| Piezīmes (pieejamas tikai angļu valodā): | Demographic Health Survey - Mothers or female caregivers |
| 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. | |
0-5 years, 2017
| Izlases lielums: | 873 |
| Atsauces: | MICS-Style: Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: RMI Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistic Office, 2017 |
| 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/aptaukošanās pēc sociālekonomiskās grupas
0-5 years, 2017
| Izlases lielums: | 873 |
| Atsauces: | MICS-Style: Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: RMI Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistic Office, 2017 |
| 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 |
Double burden of underweight & overweight
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piezīmes (pieejamas tikai angļu valodā): | Age Standardised estimates |
| Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Bērni, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-19 |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piezīmes (pieejamas tikai angļu valodā): | Age standardised estimates |
| Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2017-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
| Piezīmes (pieejamas tikai angļu valodā): | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
Nepietiekamas fiziskās aktivitātes
Pieaugušie, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Vīrieši, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Sievietes, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Estimated per capita fruit intake
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita fruit intake (g/day) |
Aptuvenais pārstrādātas gaļas patēriņš uz vienu iedzīvotāju
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita whole grains intake (g/day) |
Garīgā veselība – depresijas traucējumi
Pieaugušie, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Vīrieši, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Bērni, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Zēni, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garīgā veselība – trauksmes problēmas
Pieaugušie, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Vīrieši, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Sievietes, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Bērni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Zēni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Meitenes, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
0-5 years, 2007-2023
| Atsauces: | Republic of the Marshall Islands Integrated Child Health and Nutrition Survey 2017, Final Report. Majuro, Republic of the Marshall Islands: RMI Ministry of Health and Human Services, RMI Economic, Policy Planning and Statistic Office, 2017 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
Paaugstināts asinsspiediens
Pieaugušie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vīrieši, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstināts holesterīna līmenis
Pieaugušie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vīrieši, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstināts glikozes līmenis asinīs
Vīrieši, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabēta izplatība
Pieaugušie, 2024
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Pieaugušie, 2021
| Vecums: | 20-79 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Age-adjusted comparative prevalence of diabetes, % |
Pieaugušie, 2019
| Vecums: | 20-79 |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Pieaugušie, 2017
| Atsauces: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | 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? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Absent |
| Mandatory limit of trans fats in place (all settings)? | Absent |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Absent |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Absent |
| 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? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Absent |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions
