| Literature DB >> 31310835 |
Sigrid C O Wertheim-Heck1, Jessica E Raneri2.
Abstract
Nutrition insecurity among urban poor in modernizing Asian metropolises is a critical issue. It is well recognized that in urban Asia the poor are food insecure. Across Asia the food retail environment is transforming rapidly, in which supermarkets increasingly replace traditional food vending, like markets and street vendors that the urban poor depend upon. The question is, how these transformations impact the diets of the urban poor? What drives their food choice? What are their daily shopping practices and how does that affect their dietary intake? To investigate this, we developed a cross-disciplinary nutrition and social practices study with a sequential quantitative-qualitative mixed-method design. Building on empirical evidence from Hanoi, Vietnam, the study links (i) food choice and measured dietary intake, with (ii) food retail environment, through (iii) food shopping practices and preferences of 400 women of reproductive age within the context of (iv) their transformative urban lifestyles. Methods included are a retail census with GPS coordinates to map the food retail environment, a household survey, a 24-h diet recall, multi-generation household interviews and shopping trips. We demonstrate that integrated sociological and nutritional perspectives are productive in rapidly generating evidence to comprehend the complex trade-offs between food safety and nutrition in everyday food consumption practices. We describe and reflect on our theoretical mix of dietary intake and social practices research, and our holistic mixed method approach which besides combining quantitative and qualitative methods, also voices the urban poor first hand.Entities:
Keywords: Consumption; Food environment; Food safety; Mixed methods; Nutrition; Social practices
Year: 2019 PMID: 31310835 PMCID: PMC6739597 DOI: 10.1016/j.appet.2019.104370
Source DB: PubMed Journal: Appetite ISSN: 0195-6663 Impact factor: 3.868
Fig. 1Conceptual framework.
Multivariate research hypotheses overview.
| Variables | Issue | Hypothesis | Main hypothesis |
|---|---|---|---|
| Dietary intake | Poor diet quality and high prevalence of micronutrient deficiencies among the urban poor, particularly women of reproductive age and young children. | Nutrition insecurity is related to access to dietary diversity and food safety, and nutritional knowledge and attitudes. | Diversified retail provision (acknowledging the value of traditional fresh food vending structures) will contribute to more diversified and nutritionally balanced diets; in other words, dietary diversity requires retail diversity |
| System of provision (SoP) | Food retail transformations are demonstrated to socially exclude urban poor populations; there exists a service delivery failure. | Access to dietary diversity and food safety is related to SoP (access to and type of retail food provisioning) | |
| Food shopping practices | Income is an important factor influencing consumer access to food, but time/spatial characteristics, household composition, social/family networks and cultural characteristics as well. | Practical access to retail food provisioning for consumers is related to the organization of everyday life. | |
| Lifestyles | Urbanization and modernization are leading to fundamental lifestyle changes, which include shifts in household composition and occupation, and subsequent shifts in cultural meanings and understandings. | The organization of everyday life including food purchasing and food preparation is importantly shaped by lifestyle changes | |
| Food safety risk perception and trust | Food safety is a prominent concern among all urban consumers, but formalized and officially guaranteed food safety systems are focusing on modern retail infrastructures | Formalized food safety guarantees are out-off reach of the urban poor | |
| Nutrition knowledge and attitudes | There is limited nutritional knowledge and positive attitudes towards the importance of selecting healthy and nutritious foods | Correct knowledge and positive attitudes are related to positive dietary quality and practices. |
Fig. 2Methodological framework.
Fig. 3Retail census categorization.
Stratification based on retail outlets within walking distance (300 m)2 from the home.
| Respondents | Supermarket within walking distance | Formal wet-market within walking distance |
|---|---|---|
| Group 1 (N = 100) | Yes | Yes |
| Group 2 (N = 100) | Yes | No |
| Group 3 (N = 100) | No | Yes |
| Group 4 (N = 100) | No | No |
Fig. 4–Area based sampling on strata groupings in each district.
Respondent inclusion.
| Strata No. | Targeted No of respondents | Actual inclusion | |
|---|---|---|---|
| Household survey | Combined nutrition survey and 24 h recall | ||
| 1 | 100 | 84 | 71 |
| 2 | 100 | 95 | 81 |
| 3 | 100 | 92 | 84 |
| 4 | 100 | 129 | 111 |
| Total | 400 | 400 | 347 |
Inclusion redistribution over strata based on household GPS data and actual distance to nearest wet-market and supermarket.
87% response rate.
Indicators used to analyse the nutrition survey.
| Diet Quality | Description | Metric |
|---|---|---|
| Nutritional quality of the diet | Micro and macro nutrient quality of the diet | Mean daily intakes for a set of key nutrients |
| Micro and macro nutrient quality of the diet | Usual mean intakes for a set of key nutrients | |
| Women's Dietary Diversity Score | Food group diversity of the diet, micronutrient proxy | Count of the number of food groups consumed out of 10 |
| Minimum Dietary Diversity Reached | Food group diversity of the diet, micronutrient proxy | 5 or more food groups out of 10 consumed) |
| Dietary Species Richness | Biodiversity levels of the diet | Count of the number of unique species consumed |
| Ultra-processed food consumption | Relative contribution of ultra-processed foods in the diet | % Energy from Ultra processed foods |
| Quantity of ultra-processed foods in the diet | Mean intake from ultra-processed foods (g) | |
| Nutrition Knowledge and Attitudes: | Composite Indicator of the below, evenly weighted | |
| Micronutrient Knowledge | Count of correct answers | |
| Micronutrient Attitudes | Count of positive answers | |
| Diet diversity knowledge | Count of correct answers | |
| Diet diversity attitudes | Count of positive answers | |
| Under nutrition knowledge | Count of correct answers | |
| Under nutrition attitudes | Count of positive answers | |
| Over nutrition knowledge | Count of correct answers | |
| Overnutrition attitudes | Count of positive answers | |
| Contribution of ultra-processed foods | Sources of ultra- processed foods per retail outlet typology | % of ultra- processed foods per retail outlet typology |
| Quantity of ultra-processed food consumed | g of ultra- processed foods per retail outlet typology and % of total energy intake | |
| Source of nutrients per retail outlet | Micro and macronutrients intakes, consumed from foods sourced from the different retail outlet typologies | % value of total daily nutrient intakes per retail outlet typology ( |
| Absolute value of nutrient intakes per retail outlet typology |
Linear relationships between nutrition knowledge and attitudes and dietary quality.
| Nutrition Knowledge | Nutrition Attitudes | |||||
|---|---|---|---|---|---|---|
| Coef. | Std. Err. | P > t | Coef. | Std. Err. | P > t | |
| Dietary Species Richness | 0.5007918 | 0.1936358 | 0.01 | 0.630657 | 0.30531 | 0.04 |
| vitamin A rich fruits and vegetables1 | 25.33005 | 11.14633 | 0.024 | |||
| Legumes | 21.55172 | 7.251786 | 0.003 | |||
| Starchy staples** | −67.51536 | 29.78622 | 0.024 | |||
| Folate | 36.92938 | 13.25238 | 0.006 | |||
| Magnesium | 24.19762 | 11.69268 | 0.039 | |||
| Sodium | −368.7091 | 111.8961 | 0.001 | |||
Micronutrient Knowledge for all indicators except for Starchy staples, for which significant results were found for Overnutrition knowledge.