| Literature DB >> 28524085 |
María Achón1, María Serrano2, Ángela García-González3, Elena Alonso-Aperte4, Gregorio Varela-Moreiras5,6.
Abstract
Information on grocery shopping patterns is one key to understanding dietary changes in recent years in Spain. This report presents an overview of Spanish food shopping patterns in the adult population. A cross-sectional, nationally representative telephone survey was conducted in Spain. Individuals were asked about food shopping responsibility roles, types of visited food stores, time spent, additional behaviors while shopping, the influence of marketing/advertising and, in particular, fresh produce shopping profile. Binary logistic regression models were developed. The final random sample included 2026 respondents aged ≥18 years, of which 1223 were women and 803 were men. Women reported being in charge of most of the food shopping activities. Looking for best prices, more than looking for healthy or sustainable foods, seemed to be a general behavior. Supermarkets were the preferred retail spaces for food price consideration, convenience, variety and availability. Fresh produce shopping was associated with traditional markets and neighborhood stores in terms of reliance and personalized service. It is essential to highlight the importance of the role played by women. They are the main supporters concerned in preserving adequate dietary habits. Economic factors, more than health or food sustainability, are commonly considered by the population. Traditional markets may play an important role in preserving some healthy dietary habits of the Mediterranean food culture in Spain.Entities:
Keywords: Spain; food shopping; food store types; fresh produce shopping; grocery shopping; shopping patterns; shopping responsibilities
Mesh:
Year: 2017 PMID: 28524085 PMCID: PMC5452238 DOI: 10.3390/nu9050508
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Binary logistic regression for main food shopping responsibilities in Spain.
| Odds Ratio | CI (95%) | |||
|---|---|---|---|---|
| Gender * | ||||
| Males a | 0.221 | < 0.001 | 0.178 | 0.276 |
| Age † (years) | ||||
| 18–30 b | 0.477 | <0.001 | 0.327 | 0.697 |
| 31–49 b | 2.141 | <0.001 | 1.514 | 3.026 |
| 50–64 b | 2.029 | <0.001 | 1.393 | 2.955 |
| 65–75 b | 1.462 | 0.085 | 0.950 | 2.251 |
* Sample size: Males: 803; Females, 1223. † Sample size in age groups. >75 years, n = 227; 18–30 years, n = 320; 31–49 years, n = 801; 50–64 years, n = 460; 65–75 years, n = 218. a-Compared to female. b-Compared to >75 years.
Binary logistic regression for spending 60 min or more on weekly food shopping in Spain.
| Odds Ratio | CI (95%) | |||
|---|---|---|---|---|
| Gender * | ||||
| Males a | 0.755 | 0.014 | 0.605 | 0.944 |
| Age † (years) | ||||
| 18–30 b | 4.389 | <0.001 | 2.579 | 7.471 |
| 31–49 b | 4.017 | <0.001 | 2.548 | 6.335 |
| 50–64 b | 3.500 | <0.001 | 2.175 | 5.632 |
| 65–75 b | 2.388 | 0.002 | 1.389 | 4.105 |
* Sample size: Males: 803; Females, 1223. † Sample size in age groups. >75 years, n = 227; 18–30 years, n = 320; 31–49 years, n = 801; 50–64 years, n = 460; 65–75 years, n = 218. a-Compared to female. b-Compared to >75 years.
Preferences for food stores (%) in Spain.
| Fresh Products | Non-Perishable Products | |||||
|---|---|---|---|---|---|---|
| Traditional market | Neighbourhood food stores | Supermarket supercentre | Traditional market | Neighbourhood food stores | Supermarket supercentre | |
| Gender * | ||||||
| Males | 24.2 a | 26.0 a | 50.1 b | 3.3 a | 7.3 b | 89.5 c |
| Females | 27.0 a | 26.6 a | 46.7 b | 3.1 a | 6.8 b | 90.1 c |
| Age † (years) | ||||||
| 18–30 | 19.2 a | 24.6 b | 56.2 c | 7.1 a | 5.8 a | 87.0 b |
| 31–49 | 22.6 a | 28.7 b | 48.7 c | 1.5 a | 4.6 b | 93.9 c |
| 50–64 | 29.6 a | 24.3 a | 46.0 b | 2.3 a | 6.9 b | 90.9 c |
| 65–75 | 31.4 a | 26.8 a | 41.8 b | 5.1 a | 13.4 b | 81.6 c |
| >75 | 27.5 a | 23.5 a | 49.1 b | 6.1 a | 12.2 b | 81.8 c |
Different letter superscripts within the same row show statistical differences (p < 0.05). No differences were found for gender or between the different age groups compared to the reference age group (those >75 years). * Sample size: Males: 803; Females, 1223. † Sample size in age groups. >75 years, n = 227; 18–30 years, n = 320; 31–49 years, n = 801; 50–64 years, n = 460; 65–75 years, n = 218. a-Compared to female. b-Compared to >75 years.
Reasons to choose the type of food store, for fresh and non-perishable food (%) in Spain.
| Fresh Products | Non-Perishable Foods | |||||
|---|---|---|---|---|---|---|
| Reasons to choose retail store | Traditional market | Neighbourhood food stores | Supermarket Supercentre | Traditional market | Neighbourhood food stores | Supermarket Supercentre |
| Food quality | 73 1,a | 68 1,a | 60 1,b | 49 1,a | 32 1,2,b | 25 1,b |
| Proximity to home | 22 2,a | 35 2,b | 45 2,c | 33 1,a | 43 1,a | 36 2,a |
| Price | 24 2,a | 18 4,b | 28 4,a | 35 1,a | 29 2,3,a | 34 2,a |
| Convenience, home delivery | 10 3,4,a | 10 5,a | 32 3,b | 29 1,2,a | 13 3,4,b | 34 2,a |
| Freshness | 21 2,a | 23 3,a | 13 6,b | 7 3,4,a | 7 4,5,a | 4 4,a |
| Variety | 14 3,a | 13 4,5,a | 21 5,b | 15 2,a,b | 7 4,5,b | 23 1,a |
| Availability | 7 4,a | 10 5,6,a | 12 6,a | 13 2,3,a | 6 4,5,a | 12 3,a |
| Food origin | 7 4,a | 7 6,a | 3 7,b | 7 3,4,a | 4 5,a,b | 2 5,b |
| Reliance | 7 4,a | 7 6,a | 1 8,b | 2 4,a,b | 5 5,a | 0.5 6,b |
| Personalized service | 3 5,a | 4 7,a | 0, 1 9,b | 0 4,a,b | 5 5,b | 0.3 6,a |
| Routine habits | 2 5,a | 1 8,a,b | 0, 6 8,9,b | 0 4,a,b | 2 5,a | 0.4 6,b |
Different letter superscripts show statistical differences (p < 0.05) within the same row; different number superscripts show statistical differences (p < 0.05) within the same column. N = 40 and N = 22 chose “other retail stores” for buying fresh foods and non-perishable food products respectively; N = 590 were non-respondents for this item.
Binary logistic regression for habits/activities while shopping in Spain.
| OR | CI (95%) | |||
|---|---|---|---|---|
| CHECKING THE “BEST BEFORE” DATE LABELS | ||||
| Gender * | ||||
| Males a | 0.666 | 0.008 | 0.492 | 0.901 |
| Age † (years) | ||||
| 18–30 b | 0.711 | 0.271 | 0.387 | 1.306 |
| 31–49 b | 1.073 | 0.787 | 0.643 | 1.793 |
| 50–64 b | 1.193 | 0.535 | 0.684 | 2.079 |
| 65–75 b | 1.372 | 0.360 | 0.697 | 2.701 |
| PRICE COMPARISON | ||||
| Gender * | ||||
| Males a | 0.761 | 0.023 | 0.602 | 0.963 |
| Age † (years) | ||||
| 18–30 b | 3.173 | <0.001 | 1.881 | 5.350 |
| 31–49 b | 1.846 | 0.001 | 1.275 | 2.673 |
| 50–64 b | 1.629 | 0.016 | 1.097 | 2.420 |
| 65–75 b | 1.845 | 0.012 | 1.146 | 2.973 |
| READING NUTRITION FACTS LABELS | ||||
| Gender * | ||||
| Males a | 0.929 | 0.532 | 0.737 | 1.171 |
| Age † (years) | ||||
| 18–30 b | 2.368 | 0.001 | 1.454 | 3.854 |
| 31–49 b | 2.117 | <0.001 | 1.466 | 3.058 |
| 50–64 b | 1.528 | 0.033 | 1.036 | 2.254 |
| 65–75 b | 1.172 | 0.491 | 0.746 | 1.841 |
| LOOKING FOR FOOD DISCOUNTS AND COUPONS | ||||
| Gender * | ||||
| Males a | 0.616 | <0.001 | 0.491 | 0.772 |
| Age † (years) | ||||
| 18–30 b | 3.953 | <0.001 | 2.430 | 6.432 |
| 31–49 b | 3.075 | <0.001 | 2.131 | 4.438 |
| 50–64 b | 2.569 | <0.001 | 1.738 | 3.797 |
| 65–75 b | 1.769 | 0.013 | 1.126 | 2.781 |
| LOOKING FOR HEALTHIER FOODS | ||||
| Gender * | ||||
| Males a | 0.767 | 0.104 | 0.557 | 1.056 |
| Age † (years) | ||||
| 18–30 b | 0.462 | 0.032 | 0.228 | 0.936 |
| 31–49 b | 0.604 | 0.108 | 0.327 | 1.117 |
| 50–64 b | 0.877 | 0.699 | 0.450 | 1.709 |
| 65–75 b | 0.855 | 0.690 | 0.396 | 1.847 |
| BUYING ENVIRONMENTALLY FRIENDLY FOODS | ||||
| Gender * | ||||
| Malesa | 0.587 | <0.001 | 0.472 | 0.730 |
| Age † (years) | ||||
| 18–30 b | 0.574 | 0.018 | 0.362 | 0.909 |
| 31–49 b | 0.611 | 0.009 | 0.422 | 0.883 |
| 50–64 b | 1.100 | 0.640 | 0.739 | 1.637 |
| 65–75 b | 1.616 | 0.053 | 0.995 | 2.624 |
* Sample size: Males: 803; Females, 1223. † Sample size in age groups. >75 years, n = 227; 18–30 years, n = 320; 31–49 years, n = 801; 50–64 years, n = 460; 65–75 years, n = 218. a-Compared to female. b-Compared to >75 years.
Binary logistic regression for going fresh product shopping daily in the Spanish population.
| Odds Ratio | CI (95%) | |||
|---|---|---|---|---|
| Gender * | ||||
| Males a | 0.93 | 0.646 | 0.683 | 1.267 |
| Age † (years) | ||||
| 18–30 b | 0.420 | 0.007 | 0.223 | 0.793 |
| 31–49 b | 0.452 | 0.001 | 0.287 | 0.712 |
| 50–64 b | 0.671 | 0.098 | 0.418 | 1.076 |
| 65–75 b | 0.686 | 0.192 | 0.390 | 1.208 |
* Sample size: Males: 803; Females, 1223. † Sample size in age groups. > 75 years, n = 227; 18–30 years, n = 320; 31–49 years, n = 801; 50–64 years, n = 460; 65–75 years, n = 218. a-Compared to female. b-Compared to > 75 years.
Frequency of purchase of fresh products by habitat size (%) in Spain.
| Habitat Size (Inhabitants) | ||||||
|---|---|---|---|---|---|---|
| Frequency | <2000 | 2001 | 10,001 | 100,001 | >500,000 | |
| Daily | 7.7 | 11.6 | 15.7 | 16.7 | 13.4 | 0.060 |
| Weekly or bi-weekly | 92.3 | 88.4 | 84.3 | 83.3 | 86.6 | 0.081 |
| <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 | |
Fresh produce shopping by Nielsen Area (%) in Spain.
| Preferred Retail Food Stores | ||||
|---|---|---|---|---|
| Nielsen Zone | Traditional food market | Neighbourhood food stores | Supermarket/Supercentre | |
| East Coast | 26.9 | 25.5 | 47.6 | 0.013 |
| South | 30.9 | 25.4 | 43.7 | 0.005 |
| Centre of Spain | 16.0 | 39.6 | 44.3 | 0.005 |
| Northwest | 17.1 | 19.7 | 63.2 | 0.005 |
| North | 17.6 | 41.6 | 40.8 | 0.005 |
| Barcelona (Metropolitan Area) | 32.9 | 28.4 | 38.7 | 0.033 |
| Madrid (Metropolitan Area) | 30.7 | 20.6 | 48.7 | 0.005 |
Binary logistic regression for the influence of Internet and traditional advertising on the food shopping habits in the Spanish population.
| Internet Advertising | Traditional Advertising | |||||||
|---|---|---|---|---|---|---|---|---|
| OR | CI (95%) | OR | CI (95%) | |||||
| Gender * | ||||||||
| Males a | 0.839 | 0.250 | 0.622 | 1.131 | 0.852 | 0.209 | 0.665 | 1.093 |
| Age † (years) | ||||||||
| 18–30 b | 9.200 | <0.001 | 4.012 | 21.097 | 3.551 | <0.001 | 2.010 | 6.276 |
| 31–49 b | 5.401 | <0.001 | 2.475 | 11.786 | 3.327 | <0.001 | 2.033 | 5.447 |
| 50–64 b | 2.937 | 0.010 | 1.296 | 6.659 | 1.637 | 0.068 | 0.964 | 2.783 |
| 65–75 b | 0.851 | 0.775 | 0.282 | 2.566 | 0.806 | 0.534 | 0.409 | 1.589 |
* Sample size: Males: 803; Females, 1223. † Sample size in age groups. >75 years, n = 227; 18–30 years, n = 320; 31–49 years, n = 801; 50–64 years, n = 460; 65–75 years, n = 218. a-Compared to female. b-Compared to >75 years.