Report Card: Poland - World Obesity Federation
Report cardPolandContentsPageObesity prevalence2Trend: % Adults living with obesity, 1997-20144Trend: % Adults living with overweight or obesity, 1997-20146Trend: % Children living with overweight or obesity, 1971-20098Trend: % Adults living with obesity, 1976-20199Overweight/obesity by age and education11Overweight/obesity by education13Overweight/obesity by age16Overweight/obesity by region18Overweight/obesity by age and region22Overweight/obesity by age and socio-economic group24Overweight/obesity by socio-economic group27Insufficient physical activity30Sugar consumption36Estimated per capita sugar sweetened beverages intake37Prevalence of at least daily carbonated soft drink consumption38Prevalence of confectionery consumption39Prevalence of sweet/savoury snack consumption40Estimated per capita fruit intake41Prevalence of less than daily fruit consumption42Prevalence of less than daily vegetable consumption43Estimated per-capita processed meat intake44Estimated per capita whole grains intake45Mental health - depression disorders46Mental health - anxiety disorders47Oesophageal cancer48Breast cancer50Colorectal cancer51Pancreatic cancer53Gallbladder cancer55Kidney cancer57Cancer of the uterus59Raised blood pressure60Raised cholesterol63Raised fasting blood glucose66Diabetes prevalence681
Obesity prevalenceAdults, 2017ObesityOverweight6050%403020100AdultsMenSurvey type:Self-reportedAge:18 Area covered:References:WomenNationalEUROSTAT Database taset ilc hch10&lang en (lastaccessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².2
Children, rvey type:MeasuredAge:5-6Sample size:1172Area covered:References:GirlsRegionalMatÅ osz, P., WyszyÅ ska, J., Asif, M., Szybisty, A., Aslam, M., Mazur, A., & Herbert, J. (2021). Prevalence of Overweight,Obesity, Abdominal Obesity, and Obesity-Related Risk Factors in Polish Preschool Children: A Cross-Sectional Study.Journal of clinical medicine, 10(4), 790. ns:Sample location RzeszówFor the purpose of this study, children were classified into two groups: (1) "normal weight" (BMI percentile 85thpercentile) and (2) "excess weight" (overweight/obesity) ( 85th percentile)Cutoffs:CDC3
% Adults living with obesity, 1997-2014MenObesity25% Adults living with obesity20151050199619982000200220042006Survey type:References:2008201020122014Measured1997: Unpublished, provided by personal communication to World Obesity Federation'2003: Polish Population Review; 27, 2005. Health Status of the Polish population aged over 19 years. BibliotekaKardiologiczna on 97 2008.2013: Stepaniak, U. et al. (2016) 'Prevalence of general and abdominal obesity and overweight among adults in Poland.Results of the WOBASZ II study (2013-2014) and comparison with the WOBASZ study (2003-2005)', Pol Arch MedWewn, 18; 126(9), pp. 662-671. doi: 10.20452/pamw.3499Notes:1997 data from unpublished source provided to World Obesity FederationUnless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Pleasecheck with original data sources for methodologies used.4
WomenObesity25% Adults living with obesity20151050199619982000200220042006Survey type:References:2008201020122014Measured1997: Unpublished, provided by personal communication to World Obesity Federation'2003: Polish Population Review; 27, 2005. Health Status of the Polish population aged over 19 years. BibliotekaKardiologiczna on 97 2008.2013: Stepaniak, U. et al. (2016) 'Prevalence of general and abdominal obesity and overweight among adults in Poland.Results of the WOBASZ II study (2013-2014) and comparison with the WOBASZ study (2003-2005)', Pol Arch MedWewn, 18; 126(9), pp. 662-671. doi: 10.20452/pamw.3499Notes:1997 data from unpublished source provided to World Obesity FederationUnless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Pleasecheck with original data sources for methodologies used.5
% Adults living with overweight or obesity, 1997-2014MenOverweight or obesity% Adults living with overweight or ey type:References:2008201020122014Measured1997: Unpublished, provided by personal communication to World Obesity Federation'2003: Polish Population Review; 27, 2005. Health Status of the Polish population aged over 19 years. BibliotekaKardiologiczna on 97 2008.2013: Stepaniak, U. et al. (2016) 'Prevalence of general and abdominal obesity and overweight among adults in Poland.Results of the WOBASZ II study (2013-2014) and comparison with the WOBASZ study (2003-2005)', Pol Arch MedWewn, 18; 126(9), pp. 662-671. doi: 10.20452/pamw.3499Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Pleasecheck with original data sources for methodologies used.6
Women% Adults living with overweight or obesityOverweight or obesity50403020100199619982000200220042006Survey type:References:2008201020122014Measured1997: Unpublished, provided by personal communication to World Obesity Federation'2003: Polish Population Review; 27, 2005. Health Status of the Polish population aged over 19 years. BibliotekaKardiologiczna on 97 2008.2013: Stepaniak, U. et al. (2016) 'Prevalence of general and abdominal obesity and overweight among adults in Poland.Results of the WOBASZ II study (2013-2014) and comparison with the WOBASZ study (2003-2005)', Pol Arch MedWewn, 18; 126(9), pp. 662-671. doi: 10.20452/pamw.3499Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Pleasecheck with original data sources for methodologies used.7
% Children living with overweight or obesity, 1971-2009Overweight or obesity, BoysOverweight or obesity, Girls20% overweight or obesity15105019701975198019851990Survey type:References:199520002005Measured1971, 2000: Chrzanowska M, Koziel S and Ulijaszek SJ. (2007). Changes in BMI and the prevalence of overweight andobesity in children and adolescents in Cracow, Poland, 1971 - 2000. Economics and Human Biology 5:370 - 378.2007: Kułaga Z, Grajda A, Gurzkowska B, Wojtyło MA, Góźdź M, Litwin MS.The prevalenceof overweight and obesity among Polish school- aged children and adolescents [Article in English, Polish]PrzeglEpidemiol. 2016;70(4):641-651.Definitions:IOTFDifferent methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Pleasecheck with original data sources for methodologies used.8
% Adults living with obesity, 1976-2019MenObesity, EnglandObesity, FinlandObesity, IrelandObesity, PolandObesity, SpainObesity, SwedenObesity, LithuaniaObesity, Netherlands% Adults living with s:2005201020152020For full details of references visithttps://data.worldobesity.org/Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Pleasecheck with original data sources for methodologies used.9
WomenObesity, EnglandObesity, FinlandObesity, IrelandObesity, PolandObesity, SpainObesity, SwedenObesity, LithuaniaObesity, Netherlands30% Adults living with 002005201020152020For full details of references visithttps://data.worldobesity.org/Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Pleasecheck with original data sources for methodologies used.10
Overweight/obesity by age and educationMen, 2017ObesityOverweight80%604020Age 75 Level 0-2Level 5-8Level 3-4Age 65-74Level 0-2Level 5-8Level 3-4Age 50-64Level 0-2Level 5-8Survey type:Level 3-4Age 35-49Level 0-2Level 5-8Level 3-4Age 25-34Level 0-2Level 5-8Level 3-4Age 16-24Level 0-2Level 5-8Level 3-4Level 0-2Age 18 Level 5-8Level 3-4Level 0-20Age 25-64Self-reportedArea covered:NationalReferences:2017 - Education EUROSTAT ow.do?dataset ilc hch10&lang en (last accessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².11
Women, 2017ObesityOverweight7060%5040302010Level 5-8Level 3-4Age 65-74Level 0-2Level 5-8Level 3-4Age 50-64Level 0-2Level 5-8Survey type:Level 3-4Age 35-49Level 0-2Level 5-8Level 3-4Age 25-34Level 0-2Level 5-8Level 3-4Age 16-24Level 0-2Level 5-8Level 3-4Level 0-2Age 18 Level 5-8Level 3-4Level 0-20Age 75 Self-reportedArea covered:NationalReferences:2017 - Education EUROSTAT ow.do?dataset ilc hch10&lang en (last accessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².12
Overweight/obesity by educationMen, 2014ObesityOverweight706050%403020100Level 0-2Level 3-4Survey type:Self-reportedAge:18 Area covered:References:Level 5-8National2014 Eurostat how.do?dataset hlth ehis bm1e&lang en (lastaccessed 25.08.20)Notes:Less than primary, primary and lower secondary education (levels 0-2) Upper secondary and post-secondary nontertiary education (levels 3 and 4) Tertiary education (levels 5-8)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².13
Women, 2014ObesityOverweight6050%403020100Level 0-2Level 3-4Survey type:Self-reportedAge:18 Area covered:References:Level 5-8National2014 Eurostat how.do?dataset hlth ehis bm1e&lang en (lastaccessed 25.08.20)Notes:Less than primary, primary and lower secondary education (levels 0-2) Upper secondary and post-secondary nontertiary education (levels 3 and 4) Tertiary education (levels 5-8)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².14
Children, urvey type:MeasuredAge:3-6Sample size:1430Area covered:References:Subnational- WarsawManios, Y. et al. (2018). Prevalence and sociodemographic correlates of overweight and obesity in a large PanEuropean cohort of preschool children and their families: The ToyBox-study. Nutrition. 55-56 (p), pp.1-7.Notes:IOTF International cut-offs used. Low Maternal education classed as 14 y of education. Medium/high Maternaleducation classed as 14 y of education.Cutoffs:IOTF15
Overweight/obesity by ageAdults, 2017ObesityOverweight7060%50403020100MenWomenAge 16-24MenWomenAge 25-34MenWomenAge 25-64MenWomenAge 35-49Survey type:MenWomenAge 65-74MenWomenAge 75 Self-reportedArea covered:References:MenWomenAge 50-64National2017 - EUROSTAT Database taset ilc hch10&lang en (lastaccessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².16
Children, 2017-2018Overweight or obesity353025%20151050BoysGirlsBoysAge 11GirlsAge 13BoysAge 15Survey type:Self-reportedSample size:5217Area covered:References:NationalWorld Health Organization (2020). Spotlight on adolescent health and well-being - Findings from the 2017/2018 HealthBehaviour in School-aged Children (HBSC) survey in Europe and Canada. Available 5/332091/9789289055000-eng.pdf. Last accessed: 20.05.21.Cutoffs:WHO17
Overweight/obesity by regionMen, kiekiekieskoLubelskieSurvey type:ętokrzyskieMeasuredAge:20 Sample size:6164Area covered:References:ŚwiNationalStepaniak, Urszula, et al. “Prevalence of General and Abdominal Obesity and Overweight among Adults in Poland.Results of the WOBASZ II Study (2013–2014) and Comparison with the WOBASZ Study (2003–2005).” Polish Archivesof Internal Medicine, vol. 126, no. 9, 18 Aug. 2016, pubmed.ncbi.nlm.nih.gov/27535012/, 10.20452/pamw.3499.Accessed 1 June 2021.Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².18
Women, ekiekieskoLubelskieSurvey type:ętokrzyskieMeasuredAge:20 Sample size:6164Area covered:References:ŚwiNationalStepaniak, Urszula, et al. “Prevalence of General and Abdominal Obesity and Overweight among Adults in Poland.Results of the WOBASZ II Study (2013–2014) and Comparison with the WOBASZ Study (2003–2005).” Polish Archivesof Internal Medicine, vol. 126, no. 9, 18 Aug. 2016, pubmed.ncbi.nlm.nih.gov/27535012/, 10.20452/pamw.3499.Accessed 1 June 2021.Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².19
Boys, nSurvey type:MeasuredAge:6-13Sample size:1499Area covered:References:RegionalBac A, Wo?niacka R, Matusik S, Golec J, Golec E. Prevalence of overweight and obesity in children aged 6–13years óalarming increase in obesity in Cracow, Poland. European Journal of Pediatrics. Cutoffs:IOTF20
Girls, y type:MeasuredAge:6-13Sample size:1499Area covered:References:RegionalBac A, Wo?niacka R, Matusik S, Golec J, Golec E. Prevalence of overweight and obesity in children aged 6–13years óalarming increase in obesity in Cracow, Poland. European Journal of Pediatrics. Cutoffs:IOTF21
Overweight/obesity by age and regionMen, 2014ObesityOverweight80%604020Towns and suburbsRural areasAge 65-74CitiesTowns and suburbsRural areasAge 55-64CitiesTowns and suburbsRural areasAge 45-64CitiesTowns and suburbsRural areasCitiesTowns and suburbsAge 45-54Survey type:Age 75 Self-reportedArea covered:References:Rural areasAge 35-44CitiesTowns and suburbsRural areasAge 25-34CitiesTowns and suburbsRural areasAge 18-24CitiesTowns and suburbsRural areasAge 18 CitiesTowns and suburbsRural areasCities0National2014 Eurostat how.do?dataset hlth ehis bm1e&lang en (lastaccessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².22
Women, 2014ObesityOverweight80%604020Towns and suburbsRural areasAge 65-74CitiesTowns and suburbsRural areasAge 55-64CitiesTowns and suburbsRural areasAge 45-64CitiesTowns and suburbsRural areasCitiesTowns and suburbsAge 45-54Survey type:Age 75 Self-reportedArea covered:References:Rural areasAge 35-44CitiesTowns and suburbsRural areasAge 25-34CitiesTowns and suburbsRural areasAge 18-24CitiesTowns and suburbsRural areasAge 18 CitiesTowns and suburbsRural areasCities0National2014 Eurostat how.do?dataset hlth ehis bm1e&lang en (lastaccessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².23
40%Overweight/obesity by age and socio-economic groupAdults, 20145th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile242nd quintileNationalArea covered:1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st QuintileSelf-reportedSurvey type:Age 75 Age 65-74Age 55-64Age 45-54Age 35-44Age 25-34Age 18-24Age 18 5th Quintile4th quintile2014 Eurostat how.do?dataset hlth ehis bm1e&lang en (lastReferences:3rd quintile2nd quintile1st Quintile0OverweightObesity80706050302010accessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
40%Men, 20145th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile252nd quintileNationalArea covered:1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st QuintileSelf-reportedSurvey type:Age 75 Age 65-74Age 55-64Age 45-54Age 35-44Age 25-34Age 18-24Age 18 5th Quintile4th quintile2014 Eurostat how.do?dataset hlth ehis bm1e&lang en (lastReferences:3rd quintile2nd quintile1st Quintile0OverweightObesity806020accessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
40%Women, 20145th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile262nd quintileNationalArea covered:1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st Quintile5th Quintile4th quintile3rd quintile2nd quintile1st QuintileSelf-reportedSurvey type:Age 75 Age 65-74Age 55-64Age 45-54Age 35-44Age 25-34Age 18-24Age 18 5th Quintile4th quintile2014 Eurostat how.do?dataset hlth ehis bm1e&lang en (lastReferences:3rd quintile2nd quintile1st Quintile0OverweightObesity706050302010accessed 25.08.20)Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Overweight/obesity by socio-economic groupAdults, 2017ObesityOverweight6050%4030201001st income quintile2nd income quintile3rd income quintileSurvey type:4th income quintile5th income quintileSelf-reportedAge:16 Sample size:25,847Area covered:NationalReferences:Incomes and living conditions of the population of Poland – report from the EU-SILC survey of 2017. Available y/en/defaultaktualnosci/3305/1/10/1/incomes and living conditions eusilc 2017.pdf. Last accessed: 03.06.21.Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².27
Boys, 2017-2018Overweight or obesity3530%2520151050High FASLow FASSurvey type:Self-reportedAge:11-15Sample size:5217Area covered:References:NationalWorld Health Organization (2020). Spotlight on adolescent health and well-being - Findings from the 2017/2018 HealthBehaviour in School-aged Children (HBSC) survey in Europe and Canada. Available 5/332091/9789289055000-eng.pdf. Last accessed: 25.05.21.Notes:HBSC Family Affluence Scale (FAS) - "HBSC uses an alternative measure, the Family Affluence Scale, which asks youngpeople about material assets such as family cars, number of foreign holidays, computers, bathrooms and dishwashers inthe household, holidays and having a bedroom to oneself. The scale, which enables users to add up how many of theseassets a young person has in their home compared with other adolescents in their country/region, has been shown toprovide a valid indicator of relative affluence."Definitions:HBSC Family Affluence Scale (FAS)Cutoffs:WHO28
Girls, 2017-2018Overweight or obesity161412%1086420High FASLow FASSurvey type:Self-reportedAge:11-15Sample size:5217Area covered:References:NationalWorld Health Organization (2020). Spotlight on adolescent health and well-being - Findings from the 2017/2018 HealthBehaviour in School-aged Children (HBSC) survey in Europe and Canada. Available 5/332091/9789289055000-eng.pdf. Last accessed: 25.05.21.Notes:HBSC Family Affluence Scale (FAS) - "HBSC uses an alternative measure, the Family Affluence Scale, which asks youngpeople about material assets such as family cars, number of foreign holidays, computers, bathrooms and dishwashers inthe household, holidays and having a bedroom to oneself. The scale, which enables users to add up how many of theseassets a young person has in their home compared with other adolescents in their country/region, has been shown toprovide a valid indicator of relative affluence."Definitions:HBSC Family Affluence Scale (FAS)Cutoffs:WHO29
Insufficient physical activityAdults, 201645% insufficient physical talyBulgariaHungaryGreeceUnited inland0Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooledanalysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214109X(18)30357-730
Men, 201640% insufficient physical lyBulgariaGreeceHungaryRomaniaUnited Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooledanalysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214109X(18)30357-731
Women, 2016% insufficient physical ungaryBulgariaGreeceBelgiumUnited Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooledanalysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214109X(18)30357-732
Children, 201690% insufficient physical ithuaniaSelf-reportedAge:References:LatviaSurvey type:SloveniaUnited lobal Health Observatory data repository, World Health in.A893ADO?lang en (last accessed 16.03.21)Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing lessthan 60 minutes of moderate- to vigorous-intensity physical activity daily.Definitions:% Adolescents insufficiently active (age standardised estimate)33
Boys, 201690% insufficient physical atviaSelf-reportedAge:References:LithuaniaSurvey type:SloveniaUnited lobal Health Observatory data repository, World Health in.A893ADO?lang en (last accessed 16.03.21)Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing lessthan 60 minutes of moderate- to vigorous-intensity physical activity daily.Definitions:% Adolescents insufficiently active (age standardised estimate)34
Girls, 201690% insufficient physical rySelf-reportedAge:References:SloveniaSurvey type:United vakia011-17Global Health Observatory data repository, World Health in.A893ADO?lang en (last accessed 16.03.21)Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing lessthan 60 minutes of moderate- to vigorous-intensity physical activity daily.Definitions:% Adolescents insufficiently active (age standardised estimate)35
Sugar consumptionAdults, 201610Number of portions86420Fin NeGDSSPFAUIrBItRoSCBPSGCHELLma love zech ulga olan lova reec roat ung ston ithu atvialan the erm enm wed pain ortu ranc ustr nite elan elgiu alyandK dkiagaiaiaary iaedriaenia niadrla any ark eniamialndingsdomReferences:Source: Euromonitor InternationalDefinitions:Sugar consumption (Number of 500g sugar portions/person/month)36
Estimated per capita sugar sweetened beverages intakeAdults, 201670Number of portions6050403020100LatviaLitSlo EsFin Sw GrRo De CrUNISPCPBHAFISBGtema nm oat nite ethe relan lova ortu zech olan ulga ung ustr ranc taly pain elgi erman veni onia land eden eceumdKkia gaandedria ary iania ark iariaaiayling landdo smhuReferences:Source: Euromonitor International37
Prevalence of at least daily carbonated soft drink consumptionChildren, 2014403530%2520151050Fin EsSDGLSLIrItCUAPSGPCSRFHBLNMlan ton wed enm reec atvia love ithua elan aly zech nite ustr ortu pain erm olan roat lova oma ranc ung ulga uxem ethe altad K ianiakiagaiaanary riaiadennia eark ediania dbo rlanylingurg dsdomSurvey type:References:MeasuredWorld Health Organization. (2017). Adolescent obesity and related behaviours: Trends and inequalities in the whoeuropean region, 2002-2014: observations from the Health Behavior in School-aged Children (HBSC) WHO collaborativecross-national study (J. Inchley, D. Currie, J. Jewel, J. Breda, & V. Barnekow, Eds.). World Health Organization. Sourced fromFood Systems Dashboard ns:15-year-old adolescentsPrevalence of at least daily carbonated soft drink consumption (% of at least daily carbonated soft drink consumption)38
Prevalence of confectionery consumptionAdults, 2016Number of portions20151050RoPGIBu Hu SpCPLLCSFSBEDNSFUAIGlga ng ain roat olan ithu atvia zech love ranc lova elgi ston enm ethe wed inlan nite ustr relan ermma ortu reec talyand K iania ekia umiaandiadria aryenia galark rla endiaiayndingsdomReferences:Source: Euromonitor InternationalDefinitions:Prevalence of confectionery consumption (Number of 50g confectionery portions/person/month)39
Prevalence of sweet/savoury snack consumptionAdults, 2016Number of portions20151050Bu LaLPHIEGRSPCCFGADSBFSNSUIlga tvia ithu ortu ung taly ston reec oma love olan roat zech ranc erm ustr enm lova elgi inlan wed ethe pain nite relanandK diaanieiaenriaenia nia dark kia umdrlaiaia gal aryy andingsdomReferences:Source: Euromonitor InternationalDefinitions:Prevalence of sweet/savoury snack consumption (Number of 35g sweet/savoury snack portions/person/month)40
Estimated per capita fruit intakeAdults, CroatiaFranceSurvey type:MaltaCyprusUnited edAge:25 References:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/Definitions:Estimated per-capita fruit intake (g/day)41
Prevalence of less than daily fruit consumptionChildren, 2014Age 12-17Age 15% daily oveniaLuxembourgRomaniaUnited KingdomGermanyMaltaItalyReferences:CzechiaSurvey land0MeasuredGlobal 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. Foodand Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems systemDefinitions:Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption)42
Prevalence of less than daily vegetable consumptionChildren, 2014% daily consumption40302010NetherlandsIrelandDenmarkUnited LithuaniaMeasuredAge:References:HungarySurvey 2-17Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: Ameta-analysis of global school-based student health surveys. Food and Nutrition Bulletin.https://doi.org/10.1177/0379572119848287 sourced from
Report card Poland 1 Contents Page Obesity prevalence 2 Trend: % Adults living with obesity, 1997-2014 4 Trend: % Adults living with overweight or obesity, 1997-2014 6 Trend: % Children living with overweight or obesity, 1971-2009 8 Trend: % Adults living with obesit
Prevalence of obesity and severe obesity in US children, 1999‐2014. Obesity, 2016 May;24(5):1116-23. Wang et al. What childhood obesity prevention programmes work? A systematic review and meta-analysis. Obes Rev, 2015 Langford et al. Obesity prevention and the Health Promoting Schools framework: essential components and barriers to .
Obesity Obesity is a disease where a person’s weight is in an unhealthy range (BMI of 30.0-39.9). It is a disease that can lead to other health problems. Talk with your healthcare provider to better understand and treat obesity. Severe Obesity Someone who is more than 100 pounds over their
2. Obesity trends and co-morbid consequences. 3. Poverty, obesity and food econo-mics. 4. Genetics and Caribbean culture. 5. The cost of obesity to develop-ment. Dimensions 1- Obesity Epide-miology: Prevalence, Age and Gender Relationships The most striking features of Figure 1 are (a) the high prevalence of overweight (BMI 25) and obesity
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For this report, obesity refers to a formula based on height and weight — called the body mass index (BMI)1. Adults with a BMI of 30 or higher are considered obese. Extreme obesity, also called severe obesity or morbid obesity, occurs with a BMI of
of early childhood obesity. The report includes the following briefs: Brief 1 summarizes research on the growing problem of childhood obesity and early childhood obesity in particular. The brief summarizes key causes and consequences of the problem. Brief 2 focuses on the problem of childhood obesity in North Carolina with a focus on
(half serious, half playful) Yes – except for last summer, when you never came near me –Sheila (Act 1) Suggesting that she doesn [t fully trust him, despite the fact that theyre going to be married soon, but again shows how she is childish, and relatively light-hearted, as she is still half playful [ even in something which could be seen as quite serious. men with important work to do .
