Ultra-processed food consumption patterns among older adults in the Netherlands and the role of the food environment.
Community food environment
Dietary habits
Food retailers
Obesogenic environment
Older adults
Ultra-processed food
Journal
European journal of nutrition
ISSN: 1436-6215
Titre abrégé: Eur J Nutr
Pays: Germany
ID NLM: 100888704
Informations de publication
Date de publication:
Aug 2021
Aug 2021
Historique:
received:
25
05
2020
accepted:
29
10
2020
pubmed:
26
11
2020
medline:
15
7
2021
entrez:
25
11
2020
Statut:
ppublish
Résumé
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. 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. 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. 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.
Identifiants
pubmed: 33236180
doi: 10.1007/s00394-020-02436-5
pii: 10.1007/s00394-020-02436-5
pmc: PMC8275501
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2567-2580Subventions
Organisme : Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NL)
ID : 451-17-032
Informations de copyright
© 2020. The Author(s).
Références
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
doi: 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
doi: 10.1159/000209967
pubmed: 19346763
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
doi: 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
doi: 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
doi: 10.1017/S1368980017001367
pubmed: 28703085
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
doi: 10.1017/S1368980015002177
pubmed: 26222226
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
doi: 10.1016/j.appet.2016.11.006
pubmed: 27825941
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
doi: 10.1007/s00394-018-1870-3
pubmed: 30511164
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
doi: 10.1136/bmjopen-2015-009892
pubmed: 26962035
pmcid: 4785287
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
doi: 10.1016/j.cmet.2019.05.020
pubmed: 31269427
pmcid: 7959109
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
doi: 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
doi: 10.1136/bmj.k322
pubmed: 29444771
pmcid: 5811844
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
doi: 10.1017/S0007114518001046
pubmed: 29729673
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
doi: 10.1017/S1368980018003890
pubmed: 31801645
pmcid: 6554067
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
doi: 10.1017/S1368980017001379
pubmed: 28714422
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
doi: 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
doi: 10.1001/jamainternmed.2019.5942
pubmed: 31380952
pmcid: 6990737
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
doi: 10.1136/bmj.l1451
pubmed: 31142457
pmcid: 6538975
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
doi: 10.1111/obr.12107
pubmed: 24102801
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
doi: 10.1017/S1368980018003762
pubmed: 31475661
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
doi: 10.1017/S1368980017002981
pubmed: 28937335
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
doi: 10.1136/bmjopen-2017-020574
pubmed: 29525772
pmcid: 5855172
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
doi: 10.1016/j.appet.2014.12.229
pubmed: 25576022
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
doi: 10.1017/S1368980017001410
pubmed: 28756782
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
doi: 10.1001/archinternmed.2011.283
pubmed: 21747011
pmcid: 3178268
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
doi: 10.1038/nutd.2012.27
pubmed: 23208414
pmcid: 3542431
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
doi: 10.4278/ajhp.071204127
pubmed: 19288847
pmcid: 3305995
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
doi: 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
doi: 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
doi: 10.1093/ije/dyp217
pubmed: 19483199
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
doi: 10.3390/ijerph17061946
pubmed: 32188152
pmcid: 7143735
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
doi: 10.1016/j.healthplace.2012.05.006
pubmed: 22717379
pmcid: 3684395
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
doi: 10.1016/j.healthplace.2014.02.003
pubmed: 24607875
pmcid: 4028172
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
doi: 10.1186/s12942-018-0139-7
pubmed: 29885662
pmcid: 5994245
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
doi: 10.3390/nu11081796
pubmed: 31382624
pmcid: 6722945
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
doi: 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
doi: 10.1017/S0007114516002749
pubmed: 27452894
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
doi: 10.1017/S1368980017000234
pubmed: 28322183
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
doi: 10.1017/S136898001700091X
pubmed: 28625202
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
doi: 10.1016/j.ypmed.2014.11.023
pubmed: 25481095
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
doi: 10.1017/S1368980018003063
pubmed: 30523774
pmcid: 6536821
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
doi: 10.3390/nu10050587
pubmed: 29747447
pmcid: 5986467
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
doi: 10.1093/ije/dyx070
pubmed: 28586464
pmcid: 5837451
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
doi: 10.1016/S2468-2667(17)30212-8
pubmed: 29307385
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
doi: 10.1017/S1368980010000753
pubmed: 20409354
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
doi: 10.1007/s13679-019-00342-4
pubmed: 31214942
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
doi: 10.1016/j.amepre.2013.08.015
pubmed: 24355678
pmcid: 4558887
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
doi: 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
doi: 10.1016/j.jand.2014.08.019