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Associations between residential food environment and dietary patterns in urban-dwelling older adults: results from the VoisiNuAge study

  • Geneviève Mercille (a1) (a2), Lucie Richard (a1) (a3) (a4) (a5), Lise Gauvin (a2) (a5) (a6), Yan Kestens (a2) (a6), Bryna Shatenstein (a4) (a7), Mark Daniel (a2) (a8) (a9) and Hélène Payette (a10) (a11)...

Abstract

Objective

To examine associations between the availability of residential-area food sources and dietary patterns among seniors.

Design

Cross-sectional analyses. Individual-level data from the NuAge study on nutrition and healthy ageing were merged with geographic information system data on food store availability and area-level social composition. Two dietary patterns reflecting lower- and higher-quality diets (respectively designated ‘western’ and ‘prudent’) were identified from FFQ data. Two food source relative availability measures were calculated for a 500 m road-network buffer around participants’ homes: (i) proportion of fast-food outlets (%FFO) relative to all restaurants and (ii) proportion of stores potentially selling healthful foods (%HFS, healthful food stores) relative to all food stores. Associations between dietary patterns and food source exposure were tested in linear regression models accounting for individual (health and sociodemographic) and area-level (socio-economic and ethnicity) covariates.

Setting

Montréal metropolitan area, Canada.

Subjects

Urban-dwelling older adults (n 751), aged 68 to 84 years.

Results

%FFO was inversely associated with prudent diet (β = −0·105; P < 0·05) and this association remained statistically significant in models accounting for %HFS. %HFS was inversely associated with lower western diet scores (β = −0·124; P < 0·01). This latter association no longer reached significance once models were adjusted for area-level covariates.

Conclusions

In Montréal, the food environment is related to the diet of older adults but these links are more complex than straightforward. The absence of significant relationships between healthful food stores and prudent diets, and between fast-food outlets and western diets, deserves further investigation.

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Copyright

Corresponding author

*Corresponding author: Email genevieve.mercille.1@umontreal.ca

References

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1.Payette, H & Shatenstein, B (2005) Determinants of healthy eating in community-dwelling elderly people. Can J Public Health 96, Suppl. 3, S27S31.
2.Fey-Yensan, NL, Kantor, MA, Cohen, Net al. (2004) Issues and strategies related to fruit and vegetable intake in older adults living in the Northeast Region. Top Clin Nutr 19, 180192.
3.Riediger, N & Moghadasian, M (2008) Patterns of fruit and vegetable consumption and the influence of sex, age and socio-demographic factors among Canadian elderly. J Am Coll Nutr 27, 306313.
4.Locher, J, Ritchie, C, Roth, Det al. (2005) Social isolation, support, and capital and nutritional risk in an older sample: ethnic and gender differences. Soc Sci Med 60, 747761.
5.Wolfe, WS, Frongillo, EA & Valois, P (2003) Understanding the experience of food insecurity by elders suggests ways to improve its measurement. J Nutr 133, 27622769.
6.Keller, HH, Dwyer, JJM, Senson, Cet al. (2007) A social ecological perspective of the influential factors for food access described by low-income seniors. J Hunger Environ Nutr 1, 2744.
7.Burns, C, Bentley, R, Thornton, Let al. (2011) Reduced food access due to a lack of money, inability to lift and lack of access to a car for food shopping: a multilevel study in Melbourne, Victoria. Public Health Nutr 14, 10171023.
8.Smith, GC (1991) Grocery shopping patterns of the ambulatory urban elderly. Environ Behav 23, 86114.
9.Smith, GC & Gauthier, JJ (1995) Evaluation and utilization of local service environments by residents of low rent senior citizen apartments. Can J Urban Res 4, 305323.
10.Glass, TA & Balfour, JL (2003) Neighborhoods, aging, and functional limitations. In Neighborhoods and Health, pp. 303334 [I Kawachi and LF Berkman, editors]. Oxford: Oxford University Press.
11.Webber, CB, Sobal, J & Dollahite, JS (2007) Physical disabilities and food access among limited resource households. Disabil Stud Q 27, 3.
12.McKie, L (1999) Older people and food: independence, locality and diet. Br Food J 101, 528536.
13.Leighton, C & Seaman, CEA (1997) The elderly food consumer: disadvantaged? Int J Consum Stud 21, 363370.
14.Wilson, LC, Alexander, A & Lumbers, M (2004) Food access and dietary variety among older people. Int J Retail Distrib Manage 32, 109122.
15.De Vet, E, De Ridder, D & De Wit, J (2011) Environmental correlates of physical activity and dietary behaviours among young people: a systematic review of reviews. Obes Rev 12, e130e142.
16.Larson, NIStory, MT & Nelson, MC (2009) Neighborhood environments: disparities in access to healthy foods in the US. Am J Prev Med 36, 7481.
17.Morland, K & Filomena, S (2008) The utilization of local food environments by urban seniors. Prev Med 47, 289293.
18.Sharkey, J, Johnson, C & Dean, W (2010) Food access and perceptions of the community and household food environment as correlates of fruit and vegetable intake among rural seniors. BMC Geriatr 10, 32.
19.Yen, IH, Michael, YL & Perdue, L (2009) Neighborhood environment in studies of health of older adults: a systematic review. Am J Prev Med 37, 455463.
20.Morland, K, Wing, S & Roux, AD (2002) The contextual effect of the local food environment on residents’ diets: the Atherosclerosis Risk in Communities Study. Am J Public Health 92, 17611768.
21.Laraia, BA, Siega-Riz, AM, Kaufman, JSet al. (2004) Proximity of supermarkets is positively associated with diet quality index for pregnancy. Prev Med 39, 869875.
22.Zenk, SN, Lachance, LL, Schultz, AJet al. (2009) Neighborhood retail food environment and fruit and vegetable intake in a multiethnic urban population. Am J Health Promot 23, 255264.
23.Moore, LV, Diez Roux, AV, Nettleton, JAet al. (2008) Associations of the local food environment with diet quality – a comparison of assessments based on surveys and geographic information systems: the Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol 167, 917924.
24.Franco, M, Diez-Roux, AV, Nettleton, JAet al. (2009) Availability of healthy foods and dietary patterns: the Multi-Ethnic Study of Atherosclerosis. Am J Clin Nutr 89, 897904.
25.Bodor, J, Rose, D, Farley, Tet al. (2008) Neighbourhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr 11, 413420.
26.Giskes, K, Van Lenthe, FJ, Brug, Jet al. (2007) Socioeconomic inequalities in food purchasing: the contribution of respondent-perceived and actual (objectively measured) price and availability of foods. Prev Med 45, 4148.
27.Pearce, J, Hiscock, R, Blakely, Tet al. (2008) The contextual effects of neighbourhood access to supermarkets and convenience stores on individual fruit and vegetable consumption. BMJ 62, 198201.
28.Pearson, T, Russell, J, Campbell, MJet al. (2005) Do ‘food-deserts’ influence fruit and vegetable consumption? A cross-sectional study. Appetite 45, 195197.
29.Layte, R, Harrington, J, Sexton, Eet al. (2011) Irish exceptionalism? Local food environments and dietary quality. J Epidemiol Community Health 65, 881888.
30.Pearce, J, Hiscock, R, Blakely, Tet al. (2009) A national study of the association between neighbourhood access to fast-food outlets and the diet and weight of local residents. Health Place 15, 193197.
31.Moore, LV, Diez Roux, AV, Nettleton, JAet al. (2009) Fast-food consumption, diet quality, and neighborhood exposure to fast food. Am J Epidemiol 170, 2936.
32.Fleischhacker, SE, Evenson, KR, Rodriguez, DAet al. (2011) A systematic review of fast food access studies. Obes Rev 12, e460e471.
33.Slattery, M, Boucher, K, Caan, Bet al. (1998) Eating patterns and risk of colon cancer. Am J Epidemiol 148, 416.
34.Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.
35.Kant, AK (2004) Dietary patterns and health outcomes. J Am Diet Assoc 104, 615635.
36.Mercille, G, Richard, L, Gauvin, Let al. (2012) Comparison of two indices of availability of fruits/vegetable and fast-food outlets. J Urban Health (In the Press).
37.Gaudreau, P, Morais, JA, Shatenstein, Bet al. (2007) Nutrition as a determinant of successful aging: description of the Quebec longitudinal study Nuage and results from cross-sectional pilot studies. Rejuvenation Res 10, 377386.
38.Payette, H, Gueye, N, Gaudreau, Pet al. (2011) Trajectories of physical function decline and psychological functioning: the Québec Longitudinal Study on Nutrition and Successful Aging (NuAge). J Gerontol B Psychol Sci Soc Sci 66B, Suppl. 1, i82i90.
39. Daniel M & Kestens Y (2007) Montreal Epidemiological & Geographical Analysis of Population Health Outcomes & Neighbourhood Effect: MEGAPHONE (Copyright #1046898). Montréal: Centre de recherche du Centre hospitalier de l'Université de Montréal.
40.Diez Roux, AV & Mair, C (2010) Neighborhoods and health. Ann N Y Acad Sci 1186, 125145.
41.Larsen, J, El-Geneidy, A & Yasmin, F (2010) Beyond the quarter mile: examining travel distances by walking and cycling, Montréal, Canada. Can J Urban Res 19, Suppl., 7088.
42.Shatenstein, B, Nadon, S, Godin, Cet al. (2005) Development and relative validity of a food frequency questionnaire in Montreal. Can J Diet Pract Res 66, 6775.
43.Block, G, Hartman, AM, Dresser, CMet al. (1986) A data-based approach to diet questionnaire design and testing. Am J Epidemiol 124, 453469.
44. Shatenstein B, Huet C & Jabbour M (2009) Plausibility assessment and quality assurance of food frequency questionnaires completed in studies of diet and health. Paper presented at International Conference on Diet and Activity Methods (ICDAM), Washington, DC, 5–7 June 2009. Conference abstracts PS4-6:281–282.
45.Tabachnick, BG & Fidell, LS (2007) Using Multivariate Statistics, 5th ed. Boston, MA: Allyn and Bacon.
46.Linting, M, Meulman, JJ, Groenen, PJFet al. (2007) Nonlinear principal component analysis: introduction and application. Psychol Methods 3, 336358.
47.Health Canada (2007) Eating Well with Canada's Food Guide. Ottawa: Health Canada; available at http://www.hc-sc.gc.ca/fn-an/food-guide-aliment/index-eng.php
48.Paquet, C, Daniel, M, Kestens, Yet al. (2008) Field validation of listings of food stores and commercial physical activity establishments from secondary data. Int J Behav Nutr Phys Act 5, 58.
49.Statistics Canada (2004) Low Income Cutoffs from 1994–2003 and Low-Income Measures from 1992–2001. Income Research Paper Series. Ottawa: Statistics Canada; available at http://www.statcan.gc.ca/bsolc/olc-cel/olc-cel?catno=75F0002MIE2004002&lang=eng
50.Ware, JE & Sherbourne, CD (1992) The MOS 36-item short-form health survey (SF-36) I. Conceptual framework and item selection. Med Care 30, 473483.
51.Yesavage, JA, Brink, TL, Rose, TLet al. (1983) Development and validation of a geriatric depression screening scale: a preliminary research report. J Psychiatr Res 17, 3749.
52.Hébert, R, Carrier, R & Bilodeau, A (1988) The functional autonomy measurement system (SMAF): description and validation of an instrument for the measurement of handicaps. Age Ageing 17, 293302.
53.QualityMetric Incorporated (2010) SF-36® PCS, MCS and NBS Calculator. http://www.sf-36.org/nbscalc/index.shtml (accessed February 2010).
54.Mehta, NK & Chang, VW (2008) Weight status and restaurant availability: a multilevel analysis. Am J Prev Med 34, 127133.
55.Spence, J, Cutumisu, N, Edwards, Jet al. (2009) Relation between local food environments and obesity among adults. BMC Public Health 9, 192.
56.Briefel, RR, Crepinsek, MK, Cabili, Cet al. (2009) School food environments and practices affect dietary behaviors of US public school children. J Am Diet Assoc 109, 2 Suppl., S91S107.
57.Fox, S, Meinen, A, Pesik, Met al. (2005) Competitive food initiatives in schools and overweight in children: a review of the evidence. Wis Med J 104, 3843.
58.Yeh, MC, Matsumori, B, Obenchain, Jet al. (2010) Validity of a competing food choice construct regarding fruit and vegetable consumption among urban college freshmen. J Nutr Educ Behav 42, 321327.
59.Rose, D, Bodor, J, Hutchinson, Pet al. (2010) The importance of a multi-dimensional approach for studying the links between food access and consumption. J Nutr 140, 11701174.
60.Paez, A, Mercado, RG, Farber, Set al. (2010) Relative accessibility deprivation indicators for urban settings: definitions and application to food deserts in Montreal. Urban Stud 47, 14151438.
61.Waller, LA & Gotway, CA (2004) Applied Spatial Statistics for Public Health Data. Hoboken, NJ: John Wiley & Sons.
62.McCullough, ML & Willett, WC (2006) Evaluating adherence to recommended diets in adults: the Alternate Healthy Eating Index. Public Health Nutr 9, 152157.
63.Petticrew, M, Cummins, S, Ferrell, Cet al. (2005) Natural experiments: an underused tool for public health? Public Health 119, 751757.
64.Daveluy, C, Pica, L, Audet, Net al. (2000) Enquête sociale et de santé 1998, 2e édition. Québec: Institut de la statistique du Québec; available at http://www.stat.gouv.qc.ca/publications/sante/e_soc-sante98.htm
65.Paez, A, Scott, D, Potoglou, Det al. (2007) Elderly mobility: demographic and spatial analysis of trip making in the Hamilton CMA, Canada. Urban Stud 44, 123146.
66.Kestens, Y, Lebel, A, Daniel, Met al. (2010) Using experienced activity spaces to measure foodscape exposure. Health Place 16, 10941103.
67.Shatenstein, B (2008) Impact of health conditions on food intakes among older adults. J Nutr Elder 27, 333361.

Keywords

Associations between residential food environment and dietary patterns in urban-dwelling older adults: results from the VoisiNuAge study

  • Geneviève Mercille (a1) (a2), Lucie Richard (a1) (a3) (a4) (a5), Lise Gauvin (a2) (a5) (a6), Yan Kestens (a2) (a6), Bryna Shatenstein (a4) (a7), Mark Daniel (a2) (a8) (a9) and Hélène Payette (a10) (a11)...

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