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Tytuł pozycji:

Ultra-processed food consumption patterns among older adults in the Netherlands and the role of the food environment.

Tytuł:
Ultra-processed food consumption patterns among older adults in the Netherlands and the role of the food environment.
Autorzy:
Pinho MGM; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands. .; Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands. .
Lakerveld J; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands.; Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands.; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.; Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands.
Harbers MC; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.
Sluijs I; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.
Vermeulen R; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.; Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 1, 3584 CL, Utrecht, The Netherlands.
Huss A; Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 1, 3584 CL, Utrecht, The Netherlands.
Boer JMA; National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands.
Verschuren WMM; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.; National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands.
Brug J; National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands.; Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV, Amsterdam, The Netherlands.
Beulens JWJ; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands.; Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands.; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.
Mackenbach JD; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands.; Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands.
Źródło:
European journal of nutrition [Eur J Nutr] 2021 Aug; Vol. 60 (5), pp. 2567-2580. Date of Electronic Publication: 2020 Nov 24.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Darmstadt, Germany : Steinkopff, 1999-
MeSH Terms:
Fast Foods*
Restaurants*
Aged ; Cross-Sectional Studies ; Diet ; Female ; Food Supply ; Humans ; Netherlands
References:
Diet Collaborators GBD (2019) Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. https://doi.org/10.1016/S0140-6736(19)30041-8. (PMID: 10.1016/S0140-6736(19)30041-8)
Popkin BM (2009) Global changes in diet and activity patterns as drivers of the nutrition transition. Nestle Nutr Workshop Ser Pediatr Program 63:1–10. https://doi.org/10.1159/000209967. (PMID: 10.1159/00020996719346763)
Zobel EH, Hansen TW, Rossing P, von Scholten BJ (2016) Global changes in food supply and the obesity epidemic. CurrObes Rep 5:449–455. https://doi.org/10.1007/s13679-016-0233-8. (PMID: 10.1007/s13679-016-0233-8)
Monteiro CA, Cannon G, Levy R, Moubarac J-C, Jaime P, Martins AP, Canella D, Louzada M, Parra D (2016) NOVA. The star shines bright. World Nutr 7:28–38.
Adams J, White M (2015) Characterisation of UK diets according to degree of food processing and associations with socio-demographics and obesity: cross-sectional analysis of UK National Diet and Nutrition Survey (2008–12). Int J BehavNutrPhys Act 12:160. https://doi.org/10.1186/s12966-015-0317-y. (PMID: 10.1186/s12966-015-0317-y)
Julia C, Martinez L, Alles B, Touvier M, Hercberg S, Mejean C, Kesse-Guyot E (2018) Contribution of ultra-processed foods in the diet of adults from the French NutriNet-Sante study. Public Health Nutr 21:27–37. https://doi.org/10.1017/S1368980017001367. (PMID: 10.1017/S136898001700136728703085)
Luiten CM, Steenhuis IH, Eyles H, Ni Mhurchu C, Waterlander WE (2016) Ultra-processed foods have the worst nutrient profile, yet they are the most available packaged products in a sample of New Zealand supermarkets. Public Health Nutr 19:530–538. https://doi.org/10.1017/S1368980015002177. (PMID: 10.1017/S136898001500217726222226)
Moubarac JC, Batal M, Louzada ML, Martinez Steele E, Monteiro CA (2017) Consumption of ultra-processed foods predicts diet quality in Canada. Appetite 108:512–520. https://doi.org/10.1016/j.appet.2016.11.006. (PMID: 10.1016/j.appet.2016.11.00627825941)
Vandevijvere S, De Ridder K, Fiolet T, Bel S, Tafforeau J (2018) Consumption of ultra-processed food products and diet quality among children, adolescents and adults in Belgium. Eur J Nutr. https://doi.org/10.1007/s00394-018-1870-3. (PMID: 10.1007/s00394-018-1870-330511164)
Martinez Steele E, Baraldi LG, Louzada ML, Moubarac JC, Mozaffarian D, Monteiro CA (2016) Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study. BMJ Open 6:e009892. https://doi.org/10.1136/bmjopen-2015-009892. (PMID: 10.1136/bmjopen-2015-009892269620354785287)
Hall KD, Ayuketah A, Brychta R, Cai H, Cassimatis T, Chen KY, Chung ST, Costa E, Courville A, Darcey V, Fletcher LA, Forde CG, Gharib AM, Guo J, Howard R, Joseph PV, McGehee S, Ouwerkerk R, Raisinger K, Rozga I, Stagliano M, Walter M, Walter PJ, Yang S, Zhou M (2019) Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell Metab 30:226. https://doi.org/10.1016/j.cmet.2019.05.020. (PMID: 10.1016/j.cmet.2019.05.020312694277959109)
Forde CG, Mars M, de Graaf K (2020) Ultra-processing or oral processing? A role for energy density and eating rate in moderating energy intake from processed foods. Curr Dev Nutr 4:19. https://doi.org/10.1093/cdn/nzaa019. (PMID: 10.1093/cdn/nzaa019)
Fiolet T, Srour B, Sellem L, Kesse-Guyot E, Alles B, Mejean C, Deschasaux M, Fassier P, Latino-Martel P, Beslay M, Hercberg S, Lavalette C, Monteiro CA, Julia C, Touvier M (2018) Consumption of ultra-processed foods and cancer risk: results from NutriNet-Sante prospective cohort. BMJ 360:k322. https://doi.org/10.1136/bmj.k322. (PMID: 10.1136/bmj.k322294447715811844)
Juul F, Martinez-Steele E, Parekh N, Monteiro CA, Chang VW (2018) Ultra-processed food consumption and excess weight among US adults. Br J Nutr 120:90–100. https://doi.org/10.1017/S0007114518001046. (PMID: 10.1017/S000711451800104629729673)
Kim H, Hu EA, Rebholz CM (2019) Ultra-processed food intake and mortality in the USA: results from the Third National Health and Nutrition Examination Survey (NHANES III, 1988–1994). Public Health Nutr. https://doi.org/10.1017/S1368980018003890. (PMID: 10.1017/S1368980018003890318016456554067)
Monteiro CA, Moubarac JC, Levy RB, Canella DS, Louzada M, Cannon G (2018) Household availability of ultra-processed foods and obesity in nineteen European countries. Public Health Nutr 21:18–26. https://doi.org/10.1017/S1368980017001379. (PMID: 10.1017/S136898001700137928714422)
Poti JM, Braga B, Qin B (2017) Ultra-processed food intake and obesity: what really matters for health-processing or nutrient content? CurrObes Rep 6:420–431. https://doi.org/10.1007/s13679-017-0285-4. (PMID: 10.1007/s13679-017-0285-4)
Srour B, Fezeu LK, Kesse-Guyot E, Alles B, Debras C, Druesne-Pecollo N, Chazelas E, Deschasaux M, Hercberg S, Galan P, Monteiro CA, Julia C, Touvier M (2019) Ultraprocessed food consumption and risk of type 2 diabetes among participants of the NutriNet-Sante Prospective Cohort. JAMA Intern Med. https://doi.org/10.1001/jamainternmed.2019.5942. (PMID: 10.1001/jamainternmed.2019.5942313809526990737)
Srour B, Fezeu LK, Kesse-Guyot E, Alles B, Mejean C, Andrianasolo RM, Chazelas E, Deschasaux M, Hercberg S, Galan P, Monteiro CA, Julia C, Touvier M (2019) Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Sante). BMJ 365:l1451. https://doi.org/10.1136/bmj.l1451. (PMID: 10.1136/bmj.l1451311424576538975)
Monteiro CA, Moubarac JC, Cannon G, Ng SW, Popkin B (2013) Ultra-processed products are becoming dominant in the global food system. Obes Rev 14(Suppl 2):21–28. https://doi.org/10.1111/obr.12107. (PMID: 10.1111/obr.1210724102801)
Monteiro CA, Cannon G, Levy RB, Moubarac JC, Louzada ML, Rauber F, Khandpur N, Cediel G, Neri D, Martinez-Steele E, Baraldi LG, Jaime PC (2019) Ultra-processed foods: what they are and how to identify them. Public Health Nutr. https://doi.org/10.1017/S1368980018003762. (PMID: 10.1017/S136898001800376231475661)
Pulker CE, Scott JA, Pollard CM (2018) Ultra-processed family foods in Australia: nutrition claims, health claims and marketing techniques: CORRIGENDUM. Public Health Nutr 21:253. https://doi.org/10.1017/S1368980017002981. (PMID: 10.1017/S136898001700298128937335)
Baraldi LG, Martinez Steele E, Canella DS, Monteiro CA (2018) Consumption of ultra-processed foods and associated sociodemographic factors in the USA between 2007 and 2012: evidence from a nationally representative cross-sectional study. BMJ Open 8:e020574. https://doi.org/10.1136/bmjopen-2017-020574. (PMID: 10.1136/bmjopen-2017-020574295257725855172)
Vedovato GM, Trude AC, Kharmats AY, Martins PA (2015) Degree of food processing of household acquisition patterns in a Brazilian urban area is related to food buying preferences and perceived food environment. Appetite 87:296–302. https://doi.org/10.1016/j.appet.2014.12.229. (PMID: 10.1016/j.appet.2014.12.22925576022)
Machado PP, Claro RM, Martins APB, Costa JC, Levy RB (2018) Is food store type associated with the consumption of ultra-processed food and drink products in Brazil? Public Health Nutr 21:201–209. https://doi.org/10.1017/S1368980017001410. (PMID: 10.1017/S136898001700141028756782)
Boone-Heinonen J, Gordon-Larsen P, Kiefe CI, Shikany JM, Lewis CE, Popkin BM (2011) Fast food restaurants and food stores: longitudinal associations with diet in young to middle-aged adults: the CARDIA study. Arch Intern Med 171:1162–1170. https://doi.org/10.1001/archinternmed.2011.283. (PMID: 10.1001/archinternmed.2011.283217470113178268)
Thornton LE, Kavanagh AM (2012) Association between fast food purchasing and the local food environment. Nutr Diabetes 2:e53. https://doi.org/10.1038/nutd.2012.27. (PMID: 10.1038/nutd.2012.27232084143542431)
Zenk SN, Lachance LL, Schulz AJ, Mentz G, Kannan S, Ridella W (2009) Neighborhood retail food environment and fruit and vegetable intake in a multiethnic urban population. Am J Health Promot 23:255–264. https://doi.org/10.4278/ajhp.071204127. (PMID: 10.4278/ajhp.071204127192888473305995)
Dean WR, Sharkey JR (2011) Rural and urban differences in the associations between characteristics of the community food environment and fruit and vegetable intake. J NutrEducBehav 43:426–433. https://doi.org/10.1016/j.jneb.2010.07.001. (PMID: 10.1016/j.jneb.2010.07.001)
den Braver NR, Lakerveld J, Rutters F, Schoonmade LJ, Brug J, Beulens JWJ (2018) Built environmental characteristics and diabetes: a systematic review and meta-analysis. BMC Med 16:12. https://doi.org/10.1186/s12916-017-0997-z. (PMID: 10.1186/s12916-017-0997-z)
Beulens JW, Monninkhof EM, Verschuren WM, van der Schouw YT, Smit J, Ocke MC, Jansen EH, van Dieren S, Grobbee DE, Peeters PH, Bueno-de-Mesquita HB (2010) Cohort profile: the EPIC-NL study. Int J Epidemiol 39:1170–1178. https://doi.org/10.1093/ije/dyp217. (PMID: 10.1093/ije/dyp21719483199)
Canalia C, Pinho MGM, Lakerveld J, Mackenbach JD (2020) Field validation of commercially available food retailer data in the Netherlands. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph17061946. (PMID: 10.3390/ijerph17061946321881527143735)
Caspi CE, Sorensen G, Subramanian SV, Kawachi I (2012) The local food environment and diet: a systematic review. Health Place 18:1172–1187. https://doi.org/10.1016/j.healthplace.2012.05.006. (PMID: 10.1016/j.healthplace.2012.05.006227173793684395)
James P, Berrigan D, Hart JE, Hipp JA, Hoehner CM, Kerr J, Major JM, Oka M, Laden F (2014) Effects of buffer size and shape on associations between the built environment and energy balance. Health Place 27:162–170. https://doi.org/10.1016/j.healthplace.2014.02.003. (PMID: 10.1016/j.healthplace.2014.02.003246078754028172)
Bivoltsis A, Cervigni E, Trapp G, Knuiman M, Hooper P, Ambrosini GL (2018) Food environments and dietary intakes among adults: does the type of spatial exposure measurement matter? A systematic review. Int J Health Geogr 17:19. https://doi.org/10.1186/s12942-018-0139-7. (PMID: 10.1186/s12942-018-0139-7298856625994245)
CBS - Statistics Netherlands (2015) Onderzoek Verplaatsingen in Nederland 2015. In, Den Haag.
Pinho MGM, Mackenbach JD, Charreire H, Oppert JM, Rutter H, Beulens JWJ, Brug J, Lakerveld J (2019) Comparing different residential neighborhood definitions and the association between density of restaurants and home cooking among Dutch adults. Nutrients. https://doi.org/10.3390/nu11081796. (PMID: 10.3390/nu11081796313826246722945)
Thornton LE, Pearce JR, Kavanagh AM (2011) Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary. Int J BehavNutrPhys. https://doi.org/10.1186/1479-5868-8-71. (PMID: 10.1186/1479-5868-8-71)
Sluik D, Geelen A, de Vries JH, Eussen SJ, Brants HA, Meijboom S, van Dongen MC, Bueno-de-Mesquita HB, Wijckmans-Duysens NE, van ‘t Veer P, Dagnelie PC, Ocke MC, Feskens EJ (2016) A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults. Br J Nutr 116:913–923. https://doi.org/10.1017/S0007114516002749. (PMID: 10.1017/S000711451600274927452894)
RIVM/Dutch Nutrition Centre (2011) NEVO-tabel: Nederlands Voedingsstoffen-tabel (NEVO-tabel) 2011 (Dutch Food Composition Table 2011) version 3. In, Bilthoven, the Netherlands.
van Rossum CT, Fransen HP, Verkaik-Kloosterman J, Buurma-Rethans EJ, Ocke MC (2011) Dutch National Food Consumption Survey 2007–2010: diet of children and adults aged 7 to 69 years.
Monteiro CA, Cannon G, Moubarac JC, Levy RB, Louzada MLC, Jaime PC (2018) The UN decade of nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr 21:5–17. https://doi.org/10.1017/S1368980017000234. (PMID: 10.1017/S136898001700023428322183)
Looman M, Feskens EJ, de Rijk M, Meijboom S, Biesbroek S, Temme EH, de Vries J, Geelen A (2017) Development and evaluation of the Dutch Healthy Diet index 2015. Public Health Nutr 20:2289–2299. https://doi.org/10.1017/S136898001700091X. (PMID: 10.1017/S136898001700091X28625202)
Clary CM, Ramos Y, Shareck M, Kestens Y (2015) Should we use absolute or relative measures when assessing foodscape exposure in relation to fruit and vegetable intake? Evidence from a wide-scale Canadian study. Prev Med 71:83–87. https://doi.org/10.1016/j.ypmed.2014.11.023. (PMID: 10.1016/j.ypmed.2014.11.02325481095)
Pinho M, Mackenbach JD, Oppert JM, Charreire H, Bardos H, Rutter H, Compernolle S, Beulens J, Brug J, Lakerveld J (2018) Exploring absolute and relative measures of exposure to food environments in relation to dietary patterns among European adults. Public Health Nutr. https://doi.org/10.1017/S1368980018003063. (PMID: 10.1017/S1368980018003063305237746536821)
Rauber F, da Costa Louzada ML, Steele EM, Millett C, Monteiro CA, Levy RB (2018) Ultra-processed food consumption and chronic non-communicable diseases-related dietary nutrient profile in the UK (2008–2014). Nutrients. https://doi.org/10.3390/nu10050587. (PMID: 10.3390/nu10050587297474475986467)
Rummo PE, Guilkey DK, Ng SW, Meyer KA, Popkin BM, Reis JP, Shikany JM, Gordon-Larsen P (2017) Does unmeasured confounding influence associations between the retail food environment and body mass index over time? The Coronary Artery Risk Development in Young Adults (CARDIA) study. Int J Epidemiol 46:1456–1464. https://doi.org/10.1093/ije/dyx070. (PMID: 10.1093/ije/dyx070285864645837451)
Mason KE, Pearce N, Cummins S (2018) Associations between fast food and physical activity environments and adiposity in mid-life: cross-sectional, observational evidence from UK Biobank. Lancet Public Health 3:e24–e33. https://doi.org/10.1016/S2468-2667(17)30212-8. (PMID: 10.1016/S2468-2667(17)30212-829307385)
Charreire H, Casey R, Salze P, Simon C, Chaix B, Banos A, Badariotti D, Weber C, Oppert JM (2010) Measuring the food environment using geographical information systems: a methodological review. Public Health Nutr 13:1773–1785. https://doi.org/10.1017/S1368980010000753. (PMID: 10.1017/S136898001000075320409354)
Sacks G, Robinson E, Cameron AJ (2019) Issues in measuring the healthiness of food environments and interpreting relationships with diet, obesity and related health outcomes. Curr Obes Rep. https://doi.org/10.1007/s13679-019-00342-4. (PMID: 10.1007/s13679-019-00342-431214942)
Kirkpatrick SI, Reedy J, Butler EN, Dodd KW, Subar AF, Thompson FE, McKinnon RA (2014) Dietary assessment in food environment research: a systematic review. Am J Prev Med 46:94–102. https://doi.org/10.1016/j.amepre.2013.08.015. (PMID: 10.1016/j.amepre.2013.08.015243556784558887)
Burgoine T, Monsivais P (2013) Characterising food environment exposure at home, at work, and along commuting journeys using data on adults in the UK. Int J BehavNutrPhys. https://doi.org/10.1186/1479-5868-10-85. (PMID: 10.1186/1479-5868-10-85)
Lucan SC (2015) Concerning limitations of food-environment research: a narrative review and commentary framed around obesity and diet-related diseases in youth. J AcadNutr Diet 115:205–212. https://doi.org/10.1016/j.jand.2014.08.019. (PMID: 10.1016/j.jand.2014.08.019)
Grant Information:
451-17-032 Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NL)
Contributed Indexing:
Keywords: Community food environment; Dietary habits; Food retailers; Obesogenic environment; Older adults; Ultra-processed food
Entry Date(s):
Date Created: 20201125 Date Completed: 20210714 Latest Revision: 20231017
Update Code:
20240105
PubMed Central ID:
PMC8275501
DOI:
10.1007/s00394-020-02436-5
PMID:
33236180
Czasopismo naukowe
Purpose: To describe the patterns of ultra-processed foods (UPFs) consumption in the Netherlands; to test if exposure to the food environment is associated with UPFs consumption; and if this association differed across educational levels and neighbourhood urbanisation.
Methods: Cross-sectional study using 2015-data of 8104 older adults from the Dutch EPIC cohort. Proportion of UPFs consumption was calculated from a validated food-frequency questionnaire. Exposure to the food environment was defined as proximity and availability of supermarkets, fast-food restaurants, full-service restaurants, convenience stores, candy stores and cafés. Consumption of UPFs was expressed as both percentage of total grams and total kilocalories.
Results: The study population was aged 70(± 10 SD) years and 80.5% was female. Average UPFs consumption was 17.8% of total food intake in grams and 37% of total energy intake. Those who consumed greater amounts of UPFs had a poorer overall diet quality. Adjusted linear regression models showed that closer proximity and larger availability to any type of food retailer was associated with lower UPFs consumption (both in grams and kilocalories). Somewhat stronger significant associations were found for proximity to restaurants (β = - 1.6%, 95% confidence interval (CI) = - 2.6; - 0.6), and supermarkets (β = - 2.2%, 95%CI = - 3.3; - 1.1); i.e., Individuals living within 500 m from the closest supermarket, as compared to 1500 m, had 2.6% less calories from UPFs. No differences were found on analyses stratified for urbanisation and education.
Conclusions: Using various measures of exposure to the food environment, we found that exposure to restaurants and supermarkets was associated with somewhat lower consumption of UPFs.
(© 2020. The Author(s).)

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