Skip to main content

REVIEW

Public Health Rev, 01 February 2023
This article is part of the Special Issue NEIGHBOURHOOD INFLUENCES ON POPULATION HEALTH View all 11 articles

Food Intake and Food Selection Following Physical Relocation: A Scoping Review

Trevor Kouritzin
Trevor Kouritzin1*John C. SpenceJohn C. Spence2Karen LeeKaren Lee1
  • 1Division of Preventive Medicine, Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada
  • 2Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada

Objectives: To synthesize the current available evidence on the changes in food intake and food selection after physical relocation in non-refugee populations.

Methods: The inclusion criteria were studies with a measurement of food selection and/or food intake in non-refugee populations where physical relocation had occurred with self-reported or objective assessment of the neighbourhood physical environment before and after relocation. Databases searched included MEDLINE, EMBASE, CINAHL and SCOPUS from 1946 to August 2022.

Results: A total of four articles met the inclusion criteria. Overall, these studies gave longitudinal (n = 2) and cross-sectional (n = 2) evidence to suggest that moving to an urban neighbourhood with more convenience stores, cafés and restaurants around the home was associated with an increase in unhealthy food intake in adult populations. Additional factors such as income, vehicle access, cost, availability and perceptions of the local food environment played a role in shaping food selection and food intake.

Conclusion: Four internal migration studies were found. The limited evidence base calls for more research. Future studies should include children and apply appropriate research designs to account for neighbourhood self-selection and concurrent life events. International migration studies should include assessment of neighbourhood physical environments pre- and post-relocation.

Introduction

Unhealthy diets are a significant risk factor for chronic disease, disability and premature death [1]. One of every five deaths across the globe is attributable to suboptimal diet [2]. Key drivers of unhealthy eating include increased consumption of processed foods high in calories, salt, sugar and saturated fat, and a lack of whole grains, nuts, seeds, legumes, fruits and vegetables [3]. Evidence-based elements of a healthy diet include emphasizing fruits and vegetables, unsaturated fats, whole grains, plant protein sources and limiting consumption of trans and saturated fats, highly refined grains and sugary beverages [4]. A key healthy dietary factor in many available guidelines is fruit and vegetable consumption. The 2015 to 2020 Dietary Guidelines for Americans recommend at least 2½ servings of vegetables and 2 servings of fruit per day [5]. The World Health Organization [6] and the World Cancer Research Fund [7] recommend 5 servings of fruit and vegetables per day. Various reviews have associated low intake of fruits and vegetables with cardiovascular diseases, hypertension, hypercholesterolemia, osteoporosis, many cancers, chronic obstructive pulmonary diseases, respiratory problems and poor mental health [811]. A meta-analysis of 16 cohort studies following 469,551 participants provided evidence that a higher consumption of fruit and vegetables is associated with a lower risk of all-cause mortality, particularly cardiovascular mortality [12]. Fruit and vegetable intake and selection are thus used as key outcome measurements of healthy eating in this scoping review.

Available data globally suggests insufficient fruit and vegetable consumption. For instance, a majority of adults in Australia, Canada, the UK, and US do not meet recommended fruit and vegetable consumption guidelines [1315]. In Sub-Saharan Africa, daily fruit and vegetable intake (268 g) remain below the World Health Organization’s recommendation (400 g) [16]. Healthcare costs associated with not meeting food guidelines and/or treating obesity range from USD$3.3 billion to USD$50.4 billion in developed countries [1315, 17]. Similarly, according to the Global Medical Trends Survey [18], healthcare costs attributable to poor dietary habits are projected to rise steadily in Sub-Saharan Africa. The high prevalence of unhealthy eating habits and the economic burden of not meeting dietary recommendations for health suggests that investments in promoting healthy eating have the potential of substantial savings in direct and indirect healthcare costs.

Dietary behaviors and food consumption are shaped by interrelated personal and environmental factors, including knowledge [19], affordability [20], physical neighbourhood environments and accessibility [21]. The complex interplay of personal, cultural and environmental factors impacting dietary behaviors can be categorized and described using the five levels of influence conceptualized by the socio-ecological model (intrapersonal, interpersonal, institutional, community and public policy) [22, 23]. Longitudinal studies linking changes in the local food environment to changes in eating behaviour and diet selection provide evidence that increased numbers of fast food outlets and convenience stores around the home may contribute to a lower diet quality, increased unhealthy food intake and higher BMI [2427]. Cross sectional studies link availability and accessibility of healthful food sources to healthier dietary patterns, such as increased fruit and vegetable consumption [28]. Therefore, creating neighbourhoods that provide opportunities to purchase healthy food and limit exposure to unhealthy food represents a potential strategy to address some of the contributing factors to the burden of chronic diseases caused by poor dietary intake [29].

Understanding how individuals interact with their physical environment is one crucial component for public health strategies aimed at improving dietary intakes. Previous research usually examines dietary habits and/or neighborhood environment separately, and few studies have dealt with them simultaneously [30]. Residential location refers to the structures in which people live, and the grounds on which such structures are located including, but not limited to, houses, apartments, condominiums and the amenities around them [31]. The distinction between the physical aspects of the environment and its underlying food behaviour influences is also not always clear because people may self-select their residential locations based on multiple, and usually unmeasured, economic and social variables. For example, activity-conscious individuals may be more likely to move to neighborhoods with higher walkability and more recreational facilities [32]. In addition, the wide range of conceptualization of the environment makes it challenging to compare results across studies. Examining the impact of physical relocation (i.e., moving to another neighborhood) may be an efficient way to determine the role of the neighbourhood environment on health. Specifically, analyzing health outcomes following physical relocation represents a different type of natural experiment that allows researchers to compare proximity and access to elements within food environments as a measure of influence.

To date, reviews that examined dietary outcomes following physical relocation have generally been limited to mass migrations such as refugee crises [3336]. These reviews have found that food insecurity is a marked consequence of international migration and constitutes an emerging global public health problem. Less is understood about the impact of residential relocation on food consumption when moving from neighbourhood to neighbourhood within non-refugee populations. A scoping review aims to map the existing literature in a field of interest in terms of the volume, nature, and characteristics of the primary research [37]. This scoping review synthesized the current evidence on the association between food intake and food selection, and physical relocation in non-refugee populations, where the food environment before and after relocation are also assessed. All studies that had a measurement of food selection and/or food intake after physical relocation (either prospectively or retrospectively) with self-reported or objective assessment of neighbourhood physical environment before and after relocation were included. Non-refugee was defined as an individual who had undergone immigration, migration or relocation due to reasons besides persecution. Food selection was defined by the British Nutrition Foundation definition: the selection of foods for consumption which results from the competing, reinforcing and interacting influences of a variety of factors [38]. Food intake was defined as the daily eating patterns of an individual, including specific foods, calories consumed and relative quantities [39]. Physical relocation was defined as the action of moving to a new place and establishing one’s home there [40]. The research questions included: What studies have been done on food selection and food intake following physical relocation? How does physical relocation affect food selection and food intake? How does physical relocation affect healthy eating outcomes (defined by fruit and vegetable intake)? What is known about the facilitators and barriers to healthy eating (defined by fruit and vegetable intake) following physical relocation?

Methods

A scoping review provides an overview of the literature on a topic and can be most useful when there is a variety of research designs or an expected scarcity of evidence [41]. Guided by the [37] methodological framework for scoping reviews and recommendations for strengthening methodological rigor, a systematic methodological approach for searching, selecting, summarizing, and synthesizing the existing literature on food intake and food selection following physical relocation in a non-refugee study population was employed.

Protocol and Registration

Our protocol was drafted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) [42]. The final protocol was registered prospectively with the Open Science Framework (https://osf.io/3wvfu/) [43].

Approach

Searches were conducted from the earliest database inception (1946) to August 2022 in the electronic databases MEDLINE, EMBASE, CINAHL, and SCOPUS for peer-reviewed papers. Search terms included key words related to physical relocation, food selection and food intake (see Supplementary Appendix Table SA1). The detailed search strategy for each database is available in the (Supplementarty Appendix). The listed databases were searched and resulting citations were downloaded into Covidence [44].

Selection Process

The focus of this scoping review was available academic literature. Peer-reviewed studies that had any outcome measurement of food selection and/or food intake where physical relocation had occurred (either prospectively or retrospectively) with self-reported or objective assessment of neighbourhood physical environment before and after relocation were included. Non-English publications, gray literature, studies using only refugees or immigrants as the study population, and/or relocation with limited food intake self-selection were excluded. The last exclusion criterion was chosen because eating behaviours within institutional food environments with minimal dietary self-selection may not be comparable to behaviours determined by availability of choices in neighbourhood food environments.

Following a standard protocol, potential included studies were screened for eligibility based on the title, abstract and full text. Uncertainty was discussed among all authors and any disagreement was resolved by consensus. A PRISMA flow diagram presents the summary of the study selection process (Supplementary Appendix Figure SA1).

Methodological Quality Appraisal

We did not appraise methodological quality or risk of bias of the included articles, which is consistent with guidance on scoping review conduct [45]. However, characteristics of available studies were extracted and documented to provide information on strengths and weaknesses.

Data Extraction and Analysis

Publication characteristics, study characteristics and participant information were extracted. Publication characteristics included author, year of publication, publication type, and country in which the study was conducted. Study characteristics included study design, aim and objectives of the study, research methods, neighbourhood environmental attributes (perceived or objectively measured), results and main conclusions. Participant information included number of participants, age and gender. Finally, results regarding sociability and perceived safety were also extracted because both these attributes have also been linked to how the neighbourhood environment could impact residents’ willingness and ability to access nearby food amenities [46]. Sociability was defined as the web of social relationships that surround an individual and the extent to which an individual is connected with others [47]. Safety was defined as how safe individuals feel in their neighborhoods [48].

Results

Article Characteristics

The literature search identified 144 potential studies after removing duplicates. A total of 129 irrelevant documents were removed during phase one screening for the wrong outcomes or incorrect study population. For example, many studies focused on displacement of natural disaster victims or cardiometabolic outcomes. Of the 15 full-text studies assessed for eligibility, four studies met the inclusion criteria and were included in the review [4952]. The first published study of food intake and food selection following physical relocation in non-refugee populations appeared in 2004 [50], followed by 2007(52), 2018 [51] and 2020 [49]. In the studies by Butler et al. (2004) and Papadki et al. (2007), participants relocated out of the family home to attend college; in the study by [51] participants relocated from a rural to urban environment; and in the study by [49] participants relocated from an established neighbourhood to a new residential development. All studies relied on quantitative data and involved adult populations. The study by Butler et al. (2004) used only female participants; the other three studies included both female and male participants. The studies by Butler et al. (2004) and Papadaki et al. (2007) used a cross-sectional study design; the studies by [49] and [51] used a longitudinal study design. Sample sizes ranged from 54 (Butler et al. 2004) to 9,417 [51] participants. Butler et al. (2004) evaluated food intake and food selection 5 months post-relocation, Papadaki et al. (2007) evaluated food intake and food selection 3–4 years post-relocation, [49] used a pre- and 1–2 years post-relocation measurement and [51] used a pre- and 4 years post-relocation measurement. All studies assessed food frequency and included a measurement of food selection and food intake. In addition, the study by [51] included a food diversity score and the study by Butler et al. (2004) included measurements of nutrient self-efficacy and macronutrient consumption. Supplementary Appendix Table SA2 summarizes the characteristics of the included studies. Supplementary Appendix Table SA3 summarizes the results of the included studies.

Food Selection and Food Intake

Fruit, vegetable, bread/pasta, milk, meat and refined sugar consumption were the most commonly used food intake outcomes. Grocery stores, home meals and meals consumed outside of the home at convenience stores, cafés and restaurants were the most commonly used locations of food selection. A variety of measures were employed to operationalize these concepts including self-administered questionnaires about usual food intake, lifestyle behaviours, perceptions, self-efficacy, socio-demographic variables and measurements of the neighbourhood environmental attributes.

Some studies reported small positive outcomes after relocation (e.g., decreased white bread consumption [52]; a greater percentage of healthy food outlets around the home following relocation was found to be associated with an increase in fruit and vegetable intake [49]). However, the negative effect on food intake and food selection after physical relocation was the more prominent theme. For example, although Papadaki et al. (2007) reported some positive outcomes, students who relocated within Greece when starting university modified their dietary habits in a generally undesirable direction (decreased fresh fruit, raw and cooked vegetables, pulses, seafood, olive oil consumption and increased sugar consumption). Butler et al. (2004) reported a significant increase in alcohol consumed of freshman female college after relocation from home. [49] reported that moving to a new residential development with more convenience stores, cafés and restaurants around the home was associated with an increase in unhealthy food intake. Although researchers reported that a greater percentage of healthy food outlets around the home following relocation was significantly associated with an increase in fruit and vegetable intake, 64% of participants experienced a decline in the percentage of healthy food outlets around the home following residential relocation compared to 25% who experienced an improvement. [51] reported relocating to urban areas resulted in a significant decrease in maize and cassava consumption, and a significant increase in bread, pasta, cereal products, sugar, sweet, pastries, sodas, tea, coffee and meals/snacks consumed outside the house.

As a whole, healthy food intake declined among relocated residents. However, relocation seemed to have a positive impact on sociability as shown by an increase in leisure activities and meals consumed outside the home, especially when residents relocated for university [50, 52] or from a rural to urban environment [51]. There was no change in perceived neighbourhood safety.

Facilitators and Barriers to Healthy Eating

The most commonly reported facilitators of healthy eating were increased income and food selection from rural migration. Major barriers to healthy eating included lack of time and competing priorities, lack of accessible transportation, no grocery stores within walking distance (as defined by a 1.6-km road network buffer), cost and not adjusting habits to favour a healthier diet.

Papadaki et al. (2007) reported that lack of experience in planning meals, a general lack of interest in food, or lack of time were also barriers for healthier dietary choices and precipitating factors for increased consumption of take-away and convenience meals. [49] reported that having children <18 years of age at home at baseline was associated with an increase in unhealthy food intake, access to a vehicle at baseline was associated with an increase in diet quality and fruit/vegetable intake following relocation, and higher socioeconomic status and increasing hours of work per week was associated with a decrease in unhealthy food intake. The latter is contrary to what was expected as working >40 h per week is associated with time-related barriers to healthful eating in previous literature in adults [53, 54] and young adults [53]. Butler et al. (2004) reported that nutrition self-efficacy, defined by one’s belief in his or her ability to manage a diet even in the face of obstacles such as stress or exposure to unhealthy foods [55], did not change during the first semester of university after physical relocation from home. [51] reported income as the main mediator through which rural-urban migration affected dietary change. If it were not for the increases in income associated with rural-urban migration, there would have be no significant change in consumption. Not surprisingly, the most significant change in consumption was away from traditional staples (maize, cassava) which are typically consumed from one’s own production in rural areas.

Discussion

This review found a scarcity of literature on residential relocation and food selection and intake in non-refugee and institutional residential populations that included assessments of food environments pre- and post-relocation, with four publications in four countries (three high-income countries and one lower-income country) meeting the inclusion criteria. The small number of studies and heterogenous designs make it difficult to draw conclusions about associations. Overall, these studies provided longitudinal (n = 2) and cross-sectional (n = 2) evidence to suggest that moving to an urban neighbourhood with more convenience stores, cafés and restaurants around the home was associated with an increase in unhealthy food intake. There is evidence that having a greater percentage of healthy food outlets around the home following relocation was significantly associated with an increase in fruit and vegetable intake; however, a majority of participants experienced a decline in the percentage of healthy food outlets around the home following residential relocation compared to a minority who experienced an improvement. Intrapersonal (individual) level characteristics of food intake included preferences/perceptions and knowledge/skills; interpersonal level characteristics of food intake included food availability, social support, time constraints and culture; community/institution level characteristics of food intake included food availability (stores), school/workplace food environment, eating out and access; and policy level characteristics of food intake included food pricing. Biological and psychological determinants of food selection were not tested in these studies. Other economic, physical and social determinants of food selection included cost, income, availability, skills (e.g. cooking), time, culture, family, peers and meal patterns. Furthermore, factors such as vehicle access and availability of public transportation played a role in shaping food selection and food intake, improving outcomes when present.

In all studies, dietary selection and intake as well as personal context changed significantly following residential relocation. In the Butler et al. (2004) and [52] studies, participants moved out of the family home to a university campus. [52] reported that the majority (73%) of students living away from home lived alone during their studies, 18% shared a flat with friends and a small proportion (8.1%) lived in shared student residences. A finding of interest in the [52] study is that there were no major differences in dietary habits at baseline when students lived in the family home, regardless of whether students came from Athens or other parts of Greece. Both Butler et al. (2004) and [52] found that young adults who relocated when starting university significantly increased convenience and take-away meal consumption. The findings of [52] suggest that food shopping plays a significant role in the forming dietary habits because students still living with their families, where food shopping and cooking were usually performed by a family member, did not change their diets in a major way after starting university. [51] found that compared to household members who remained in their original rural villages, those relocating to urban areas experienced a pronounced shift away from traditional staples and towards more convenience meals away from home. These findings suggest that the ratio of unhealthy to healthy food outlets influences people’s dietary choices, a finding consistent with the previous cross-sectional research exploring the effects of relative and absolute measures of exposure [56, 57]. For example, having a higher number of convenience stores within 3 km [24, 26] and fast food restaurants within 1 km around the home [27] is associated with lower dietary quality in the US. In Canada, individuals living in neighbourhoods with a moderate or high density of fast-food chain restaurants are more likely to be excessive fast-food consumers [58]. In the [49] study, participants moved from a previously established neighbourhood to a new residential development. The new developments were typically located in suburban greenfield areas and infill locations. The majority of participants (64.0% vs. 24.8%) experienced a decline in the percentage of healthy food outlets around the home following residential relocation to a new development. These findings are consistent with previous research that identified an overall lack of healthy food outlets in new developments: 2.3 times more takeaway/fast food outlets than supermarket/greengrocers in new developments compared with 1.7 times in established neighbourhoods [59].

Findings from these studies generally show less healthy food consumption following relocation. This is consistent with previous literature: a systematic review of 11 studies with university students reported higher salt, fat, and added sugar consumption on campus [60]; and empirical evidence shows rural residents tend to have lower calorie intakes and higher dietary quality than their urban counterparts [61]. With the exception [49], where the change was non-significant, all studies reported a significant decrease in fruit and vegetable consumption following physical relocation. While it is difficult to compare the magnitude of effects across studies given the variety of measurements used, previous studies that used survey measures of the food environment consistently reported small but meaningful differences in fruit and vegetable consumption within the different dimensions of “food selection” (biological, economic, physical, social, and psychological determinants) [62]. For example, individuals who reported shopping at a supermarket consumed, on average, 1.22 more servings per day of fruits and vegetables than those who did not [63], and individuals who reported easy supermarket access consumed, on average, 86 more grams per day of fruit (approximately half a serving) than those who reported poorer access [64].

The changes observed in food intakes after relocating are likely also influenced by specific individual factors modifying the way participants respond to a changing environment. For example, having children at home and lower socioeconomic status at baseline were associated with an increase in unhealthy food intake after relocating [49]. Thus, families with children and people living on low incomes may be especially vulnerable to purchasing less healthy convenience foods from accessible food outlets around the home. Previous research also suggests that low-income residents may be more susceptible to unhealthy food intake in environments where there is a high prevalence of unhealthy food outlets [24, 26]. In Edmonton, Canada, the odds of exposure to fast food outlets are greater in areas with more Indigenous peoples, renters, lone parents, low-income households and public transportation commuters [65, 66]. In the [49] study, access to a vehicle at baseline was associated with an increase in diet quality and fruit/vegetable intake following relocation. This suggests that people with vehicles may be better able to travel beyond their immediate neighbourhood to obtain healthy food, increasing their potential to access healthy food. Urban migration may also explain some of the deterioration of fruit and vegetable consumption as individuals are purportedly further from fresh, seasonal local produce.

Residential relocation had some influence on participant behaviour and perceptions. Bvioltsis et al. (2020) found that individual positive perceptions of the local food environment on average decreased from pre-to post-relocation, as indicated by 40.1% of participants reporting a decrease in the presence of a supermarket/grocery store within 15-min walk of home. Previous research has revealed that both objective and perceived measures of increased distance to the nearest supermarket with a good variety of fresh and processed vegetables is associated with decreased daily consumption of fruit and vegetables [67]. Only [51] assessed whether physical relocation affects men and women differently. The changes in the consumption and selection of different food categories after relocation appeared to be similar, except for meals and snacks consumed away from home. The more pronounced increase in the latter food category was driven by male migrants. A potential explanation lies is that women in Africa may often migrate for marriage [68]. Conversely, male migrants are more likely to be unmarried and to live alone, and perhaps are less likely to cook or have someone else preparing food at home.

Strengths and Limitations

Limitations inherent to scoping review methodology are that they identify available research and point to research that needs to be conducted on a topic rather than contributing essential research. This review is also limited by restricting studies to English-language publications, exclusion of gray literature, and heterogeneous measurement and outcome measures. Furthermore, no intervention studies were identified. Therefore, only observational studies were available and two of the four were cross-sectional further preventing conclusions about causality.

Daily food selection and consumption were estimated through self-reported surveys in all studies, which is subject to measurement error from incorrect recording of food intake and potential reluctance to report consumption of unhealthy foods. For instance, previous literature shows that up to 50% of participants may incorrectly self-report food consumption [69]. There are also challenges separating out what changes in dietary behaviour might be from the move itself rather than the change in residential context. For example, some relocations are associated with negative life events (e.g., divorce, ill health, loss of unemployment). Finally, summarising across diverse environmental attributes and different outcome measurements is methodologically challenging. While categorizing these measures provides a “big picture” of the overall evidence, it may fail to address potential biases in interpretation.

Despite these limitations, this review has multiple strengths including a comprehensive search strategy to identify available evidence on the topic and avenues for further research. The diversity of the geographical locations provides a representation of the changes in food intake and selection following physical relocation in four different continents compared to earlier reviews on the local food environment that have been limited to studies from primarily higher- or upper-middle-income countries [70, 71].

Conclusion

Residential relocation provides a unique opportunity for studying possible environment-induced changes in food intake and food selection, especially when the environments pre- and post-relocation are assessed. This scoping review identified four studies from three high-income countries and one low-income country: two studies with residential relocation out of the family home to a college campus, one study with residential relocation from a rural to urban environment, and one study with residential relocation from an established neighbourhood to a new residential development. Moving to a new residential development with more convenience stores and restaurants around the home was associated with an increase in unhealthy food intake. Conversely, having a greater percentage of healthy food outlets around the home following relocation was significantly associated with an increase in fruit and vegetable intake; however, a majority of participants experienced a decline in the percentage of healthy food outlets around the home following residential relocation compared to a minority who experienced an improvement. Commonly reported barriers to healthy eating also included lack of time and competing priorities, lack of accessible transportation, no grocery stores within walking distance, cost and not adjusting habits to favour a healthier diet.

The limited evidence base calls for more research examining food intake, food selection and residential relocation that include assessments of food environments pre- and post-relocation. None of the studies looked at residential relocation to a different state/province, which may lead to greater changes in the neighbourhood food environment and more significant dietary changes than relocation within the same state/province. None of the studies included children, who may have different dietary preferences and behavioural influences then adults. Future studies could benefit from using longitudinal and interventional designs, such as quasi-experimental studies and cohort studies [32], evaluating relocation effects over longer follow-up periods, and applying appropriate research methods to account for neighbourhood self-selection and concurrent life events. Additional data from geographically diverse areas, particularly from low-income and middle-income countries, would also add to the current literature.

Author Contributions

TK, JS, and KL conceptualized the idea for the scoping review. With the help of a librarian, TK undertook the search strategy and ran the database searches. TK screened abstracts and titles for inclusion/exclusion and full text articles for inclusion/exclusion under the direction of JS and KL. Data was extracted by TK. TK, JS, and KL contributed to interpretation of results. Writing was completed by TK. JS and KL provided overall direction, reviewed and edited the manuscript. All authors contributed to the manuscript.

Funding

This project has been made possible in part through funding from the Public Health Agency of Canada (grant #1819-HQ-000051).

Author Disclaimer

The views expressed herein do not necessarily represent the view of the Public Health Agency of Canada.

Conflict of Interest

The authors declare that they do not have any conflicts of interest.

Acknowledgments

Janice Kung, librarian at the University of Alberta, provided guidance on developing a search strategy for the different databases.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.ssph-journal.org/articles/10.3389/phrs.2023.1605516/full#supplementary-material

References

1. Devries, S, Dalen, JE, Eisenberg, DM, Maizes, V, Ornish, D, Prasad, A, et al. A Deficiency of Nutrition Education in Medical Training. Am J Med (2014) 127(9):804–6. doi:10.1016/j.amjmed.2014.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Afshin, ASP, Fay, KA, Cornaby, L, Ferrara, G, Salama, JS, et al. Health Effects of Dietary Risks in 195 Countries, 1990–2017: a Systematic Analysis for the Global Burden of Disease Study 2017. Lancet (2019) 393(10184):1958–72. doi:10.1016/S0140-6736(19)30041-8

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Fuhrman, J. The Hidden Dangers of Fast and Processed Food. Am J Lifestyle Med (2018) 12(5):375–81. doi:10.1177/1559827618766483

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Skerrett, PJ, and Willett, WC. Essentials of Healthy Eating: a Guide. J Midwifery Womens Health (2010) 55(6):492–501. doi:10.1016/j.jmwh.2010.06.019

PubMed Abstract | CrossRef Full Text | Google Scholar

5.US Department of Health and Human Services and U.S. Department of Agriculture. Dietary Guidelines for Americans (2015). Available from: https://health.gov/our-work/food-and-nutrition/2015-2020-dietary-guidelines/ (Accessed August, 2022).

Google Scholar

6. Gupta-Smith, V. Increasing Fruit and Vegetable Consumption to Reduce the Risk of Noncommunicable Diseases (2019). Available from: https://www.who.int/elena/titles/fruit_vegetables_ncds/en/ (Accessed August, 2022).

Google Scholar

7.World Cancer Research Fund. Diet, Nutrition, Physical Activity and Cancer: A Global Perspective (2018). Available from: https://www.wcrf.org/dietandcancer/resources-and-toolkit (Accessed August, 2022).

Google Scholar

8. Celik, F, and Topcu, F. Nutritional Risk Factors for the Development of Chronic Obstructive Pulmonary Disease (COPD) in Male Smokers. Clin Nutr (2006) 25(6):955–61. doi:10.1016/j.clnu.2006.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Park, H-M, Heo, J, and Park, Y. Calcium from Plant Sources Is Beneficial to Lowering the Risk of Osteoporosis in Postmenopausal Korean Women. Nutr Res (2011) 31(1):27–32. doi:10.1016/j.nutres.2010.12.005

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Payne, ME, Steck, SE, George, RR, and Steffens, DC. Fruit, Vegetable, and Antioxidant Intakes Are Lower in Older Adults with Depression. J Acad Nutr Diet (2012) 112(12):2022–7. doi:10.1016/j.jand.2012.08.026

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Williamson, G. Protective Effects of Fruits and Vegetables in the Diet. Nutr Food Sci (1996) 96:6–10. doi:10.1108/00346659610105806

CrossRef Full Text | Google Scholar

12. Wang, X, Ouyang, Y, Liu, J, Zhu, M, Zhao, G, Bao, W, et al. Fruit and Vegetable Consumption and Mortality from All Causes, Cardiovascular Disease, and Cancer: Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies. BMJ (2014) 349:g4490. doi:10.1136/bmj.g4490

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Jardim, TV, Mozaffarian, D, Abrahams-Gessel, S, Sy, S, Lee, Y, Liu, J, et al. Cardiometabolic Disease Costs Associated with Suboptimal Diet in the United States: A Cost Analysis Based on a Microsimulation Model. Plos Med (2019) 16(12):e1002981. doi:10.1371/journal.pmed.1002981

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Lieffers, JRL, Ekwaru, JP, Ohinmaa, A, and Veugelers, PJ. The Economic burden of Not Meeting Food Recommendations in Canada: The Cost of Doing Nothing. PLoS One (2018) 13(4):e0196333. doi:10.1371/journal.pone.0196333

PubMed Abstract | CrossRef Full Text | Google Scholar

15.Office GBNA. Tackling Obesity in England. Victoria: Stationery Office BooksTSO (2001).

Google Scholar

16. Mensah, DO, Nunes, AR, Bockarie, T, Lillywhite, R, and Oyebode, O. Meat, Fruit, and Vegetable Consumption in Sub-saharan Africa: a Systematic Review and Meta-Regression Analysis. Nutr Rev (2020) 79(6):651–92. doi:10.1093/nutrit/nuaa032

CrossRef Full Text | Google Scholar

17. Duckett, S, and Swerissen, H. A Sugary Drinks Tax: Recovering the Community Costs of Obesity. Carlton: Grattan Institute (2016).

Google Scholar

18.Willis Towers Watson. Global Medical Trends Survey - Africa 2022 (2022). Available from: https://www.wtwco.com/en-US/Insights/2021/11/global-average-medical-trends-by-country-2020-2022#middle-east-and-africa (Accessed December, 2022).

Google Scholar

19. Shepherd, J, Harden, A, Rees, R, Brunton, G, Garcia, J, Oliver, S, et al. Young People and Healthy Eating: a Systematic Review of Research on Barriers and Facilitators. Health Educ Res (2006) 21(2):239–57. doi:10.1093/her/cyh060

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Andreyeva, T, Long, MW, and Brownell, KD. The Impact of Food Prices on Consumption: a Systematic Review of Research on the price Elasticity of Demand for Food. Am J Public Health (2010) 100(2):216–22. doi:10.2105/AJPH.2008.151415

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Cummins, S, and Macintyre, S. Food Environments and Obesity—Neighbourhood or Nation? Int J Epidemiol (2006) 35(1):100–4. doi:10.1093/ije/dyi276

PubMed Abstract | CrossRef Full Text | Google Scholar

22.Committee on Examination of the Adequacy of Food R Allotments, S, Food, SN BLEICH, Nutrition, B, Committee on National, S, Institute of, M, et al. In: JA Caswell, and AL Yaktine, editors. Supplemental Nutrition Assistance Program: Examining the Evidence to Define Benefit Adequacy. Washington (DC): National Academies Press (2013). 2013 Copyright by the National Academy of Sciences. All rights reserved.

Google Scholar

23. Wold, B, and Mittelmark, MB. Health-promotion Research over Three Decades: The Social-Ecological Model and Challenges in Implementation of Interventions. Scand J Public Health (2018) 46(20):20–6. doi:10.1177/1403494817743893

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Boone-Heinonen, J, Gordon-Larsen, P, Kiefe, CI, Shikany, JM, Lewis, CE, and Popkin, BM. Fast Food Restaurants and Food Stores: Longitudinal Associations with Diet in Young to Middle-Aged Adults: the CARDIA Study. Arch Intern Med (2011) 171(13):1162–70. doi:10.1001/archinternmed.2011.283

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Richardson, AS, Meyer, KA, Howard, AG, Boone-Heinonen, J, Popkin, BM, Evenson, KR, et al. Multiple Pathways from the Neighborhood Food Environment to Increased Body Mass index through Dietary Behaviors: A Structural Equation-Based Analysis in the CARDIA Study. Health Place (2015) 36:74–87. doi:10.1016/j.healthplace.2015.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Rummo, PE, Meyer, KA, Boone-Heinonen, J, Jacobs, DR, Kiefe, CI, Lewis, CE, et al. Neighborhood Availability of Convenience Stores and Diet Quality: Findings from 20 Years of Follow-Up in the Coronary Artery Risk Development in Young Adults Study. Am J Public Health (2015) 105(5):e65–73. doi:10.2105/AJPH.2014.302435

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Rummo, PE, Guilkey, DK, Ng, SW, Meyer, KA, Popkin, BM, Reis, JP, et al. Understanding Bias in Relationships between the Food Environment and Diet Quality: the Coronary Artery Risk Development in Young Adults (CARDIA) Study. J Epidemiol Community Health (2017) 71(12):1185–90. doi:10.1136/jech-2017-209158

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Cerin, E, Frank, LD, Sallis, JF, Saelens, BE, Conway, TL, Chapman, JE, et al. From Neighborhood Design and Food Options to Residents’ Weight Status. Appetite (2011) 56(3):693–703. doi:10.1016/j.appet.2011.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Sallis, JF, and Glanz, K. Physical Activity and Food Environments: Solutions to the Obesity Epidemic. Milbank Q (2009) 87(1):123–54. doi:10.1111/j.1468-0009.2009.00550.x

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Papas, MA, Alberg, AJ, Ewing, R, Helzlsouer, KJ, Gary, TL, and Klassen, AC. The Built Environment and Obesity. Epidemiologic Rev (2007) 29(1):129–43. doi:10.1093/epirev/mxm009

CrossRef Full Text | Google Scholar

31. Winden, TJ, Chen, ES, and Melton, GB. Representing Residence, Living Situation, and Living Conditions: An Evaluation of Terminologies, Standards, Guidelines, and Measures/Surveys. AMIA Annu Symp Proc (2016) 2016:2072–81.

PubMed Abstract | Google Scholar

32. Lee, I-M, Ewing, R, and Sesso, HD. The Built Environment and Physical Activity Levels: the Harvard Alumni Health Study. Am J Prev Med (2009) 37(4):293–8. doi:10.1016/j.amepre.2009.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Guerra, JVV, Alves, VH, Rachedi, L, Pereira, AV, Branco, M, Santos, MVD, et al. Forced International Migration for Refugee Food: a Scoping Review. Cien Saude Colet (2019) 24(12):4499–508. doi:10.1590/1413-812320182412.23382019

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Osei-Kwasi, HA, Nicolaou, M, Powell, K, Terragni, L, Maes, L, Stronks, K, et al. Systematic Mapping Review of the Factors Influencing Dietary Behaviour in Ethnic Minority Groups Living in Europe: a DEDIPAC Study. Int J Behav Nutr Phys Activity (2016) 13(1):85. doi:10.1186/s12966-016-0412-8

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Wang, Y, Min, J, Harris, K, Khuri, J, and Anderson, LM. A Systematic Examination of Food Intake and Adaptation to the Food Environment by Refugees Settled in the United States. Adv Nutr (2016) 7(6):1066–79. doi:10.3945/an.115.011452

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Zhang, Q, Liu, R, Diggs, LA, Wang, Y, and Ling, L. Does Acculturation Affect the Dietary Intakes and Body Weight Status of Children of Immigrants in the U.S. And Other Developed Countries? A Systematic Review. Ethn Health (2019) 24(1):73–93. doi:10.1080/13557858.2017.1315365

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Arksey, H, and O'Malley, L. Scoping Studies: towards a Methodological Framework. Int J Soc Res Methodol (2005) 8(1):19–32. doi:10.1080/1364557032000119616

CrossRef Full Text | Google Scholar

38.British Nutrition Foundation. A Critical Review of the Psychosocial Basis of Food Choice and Identification of Tools to Effect Positive Food Choice. London: British Nutrition Foundation (2004).

Google Scholar

39. Michael Denbow, D, and Cline, MA. Food Intake Regulation. Oxford (2015).

Google Scholar

40.Merriam-Webster. Relocate. Springfield (2022).

Google Scholar

41. Armstrong, R, Hall, BJ, Doyle, J, and Waters, E. Cochrane Update. ‘Scoping the Scope' of a cochrane Review. J Public Health (2011) 33(1):147–50. doi:10.1093/pubmed/fdr015

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Tricco, AC, Lillie, E, Zarin, W, O'Brien, KK, Colquhoun, H, Levac, D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med (2018) 169(7):467–73. doi:10.7326/M18-0850

PubMed Abstract | CrossRef Full Text | Google Scholar

43.OSF. Open Science Framework (2022). Available from: https://osf.io Accessed.

Google Scholar

44.Veritas Health Innovation. Covidence Systematic Review Software (2022).

Google Scholar

45. Peters, MD, Godfrey, CM, Khalil, H, McInerney, P, Parker, D, and Soares, CB. Guidance for Conducting Systematic Scoping Reviews. JBI Evid Implementation (2015) 13(3):141–6. doi:10.1097/XEB.0000000000000050

CrossRef Full Text | Google Scholar

46. Jilcott, SB, Laraia, BA, Evenson, KR, and Ammerman, AS. Perceptions of the Community Food Environment and Related Influences on Food Choice Among Midlife Women Residing in Rural and Urban Areas: a Qualitative Analysis. Women & health (2009) 49(2-3):164–80. doi:10.1080/03630240902915085

CrossRef Full Text | Google Scholar

47. Berkman, LF, and Syme, SL. Social Networks, Host Resistance, and Mortality: a Nine-Year Follow-Up Study of Alameda County Residents. Am J Epidemiol (1979) 109(2):186–204. doi:10.1093/oxfordjournals.aje.a112674

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Velasquez, AJ, Douglas, JA, Guo, F, and Robinette, JW. What Predicts How Safe People Feel in Their Neighborhoods and Does it Depend on Functional Status? SSM - Popul Health (2021) 16:100927. doi:10.1016/j.ssmph.2021.100927

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Bivoltsis, A, Trapp, G, Knuiman, M, Hooper, P, and Ambrosini, GL. The Influence of the Local Food Environment on Diet Following Residential Relocation: Longitudinal Results from RESIDential Environments (RESIDE). Public Health Nutr (2020) 23(12):2132–44. doi:10.1017/S1368980019005111

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Butler, SM, Black, DR, Blue, CL, and Gretebeck, RJ. Change in Diet, Physical Activity, and Body Weight in Female College Freshman. Am J Health Behav (2004) 28(1):24–32. doi:10.5993/ajhb.28.1.3

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Cockx, L, Colen, L, and De Weerdt, J. From Corn to Popcorn? Urbanization and Dietary Change: Evidence from Rural-Urban Migrants in Tanzania. World Develop (2018) 110:140–59. doi:10.1016/j.worlddev.2018.04.018

CrossRef Full Text | Google Scholar

52. Papadaki, A, Hondros, G, and Kapsokefalou, M. Eating Habits of university Students Living at, or Away from home in Greece. Appetite (2007) 49(1):169–76. doi:10.1016/j.appet.2007.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Escoto, KH, Laska, MN, Larson, N, Neumark-Sztainer, D, and Hannan, PJ. Work Hours and Perceived Time Barriers to Healthful Eating Among Young Adults. Am J Health Behav (2012) 36(6):786–96. doi:10.5993/AJHB.36.6.6

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Oostenbach, LH, Lamb, KE, Crawford, D, and Thornton, L. Influence of Work Hours and Commute Time on Food Practices: a Longitudinal Analysis of the Household, Income and Labour Dynamics in Australia Survey. BMJ Open (2022) 12(5):e056212. doi:10.1136/bmjopen-2021-056212

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Nastaskin, RS, and Fiocco, AJ. A Survey of Diet Self-Efficacy and Food Intake in Students with High and Low Perceived Stress. Nutr J (2015) 14:42. doi:10.1186/s12937-015-0026-z

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Clary, CM, Ramos, Y, Shareck, M, and Kestens, Y. 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 (2015) 71:83–7. doi:10.1016/j.ypmed.2014.11.023

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Mason, KE, Bentley, RJ, and Kavanagh, AM. Fruit and Vegetable Purchasing and the Relative Density of Healthy and Unhealthy Food Stores: Evidence from an Australian Multilevel Study. J Epidemiol Community Health (2013) 67(3):231–6. doi:10.1136/jech-2012-201535

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Laxer, RE, and Janssen, I. The Proportion of Excessive Fast-Food Consumption Attributable to the Neighbourhood Food Environment Among Youth Living within 1 Km of Their School. Appl Physiol Nutr Metab (2014) 39(4):480–6. doi:10.1139/apnm-2013-0208

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Bivoltsis, A, Trapp, G, Knuiman, M, Hooper, P, and Ambrosini, GL. The Evolution of Local Food Environments within Established Neighbourhoods and New Developments in Perth, Western Australia. Health Place (2019) 57:204–17. doi:10.1016/j.healthplace.2019.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Li, X, Braakhuis, A, Li, Z, and Roy, R. How Does the University Food Environment Impact Student Dietary Behaviors? A Systematic Review. Front Nutr (2022) 9:840818. doi:10.3389/fnut.2022.840818

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Ren, Y, Castro Campos, B, Peng, Y, and Glauben, T. Nutrition Transition with Accelerating Urbanization? Empirical Evidence from Rural China. Nutrients (2021) 13(3):921. doi:10.3390/nu13030921

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Caitlin, C, Glorian, S, Ss, V, and Ichiro, K. The Local Food Environment and Diet: A Systematic Review. Health & Place (2012) 18(5):1172–87. doi:10.1016/j.healthplace.2012.05.006

CrossRef Full Text | Google Scholar

63. Zenk, SN, Schulz, AJ, Hollis-Neely, T, Campbell, RT, Holmes, N, Watkins, G, et al. Fruit and Vegetable Intake in African Americans: Income and Store Characteristics. Am J Prev Med (2005) 29(1):1–9. doi:10.1016/j.amepre.2005.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Rose, D, and Richards, R. Food Store Access and Household Fruit and Vegetable Use Among Participants in the US Food Stamp Program. Public Health Nutr (2004) 7(8):1081–8. doi:10.1079/PHN2004648

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Hemphill, E, Raine, K, Spence, JC, and Smoyer-Tomic, KE. Exploring Obesogenic Food Environments in Edmonton, Canada: the Association between Socioeconomic Factors and Fast-Food Outlet Access. Am J Health Promot (2008) 22(6):426–32. doi:10.4278/ajhp.22.6.426

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Smoyer-Tomic, KE, Spence, JC, Raine, KD, Amrhein, C, Cameron, N, Yasenovskiy, V, et al. The Association between Neighborhood Socioeconomic Status and Exposure to Supermarkets and Fast Food Outlets. Health Place (2008) 14(4):740–54. doi:10.1016/j.healthplace.2007.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Sharkey, JR, Johnson, CM, and Dean, WR. Food Access and Perceptions of the Community and Household Food Environment as Correlates of Fruit and Vegetable Intake Among Rural Seniors. BMC Geriatr (2010) 10(1):32–12. doi:10.1186/1471-2318-10-32

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Collinson, M. The Dynamics of Migration, Health, and Livelihoods: INDEPTH Network Perspectives. Surrey: Ashgate Publishing, Ltd. (2009).

Google Scholar

69. Cook, A, Pryer, J, and Shetty, P. The Problem of Accuracy in Dietary Surveys. Analysis of the over 65 UK National Diet and Nutrition Survey. J Epidemiol Community Health (2000) 54(8):611–6. doi:10.1136/jech.54.8.611

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Caspi, CE, Sorensen, G, Subramanian, SV, and Kawachi, I. The Local Food Environment and Diet: a Systematic Review. Health Place (2012) 18(5):1172–87. doi:10.1016/j.healthplace.2012.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Sawyer, ADM, van Lenthe, F, Kamphuis, CBM, Terragni, L, Roos, G, Poelman, MP, et al. Dynamics of the Complex Food Environment Underlying Dietary Intake in Low-Income Groups: a Systems Map of Associations Extracted from a Systematic Umbrella Literature Review. Int J Behav Nutr Phys Act (2021) 18(1):96. doi:10.1186/s12966-021-01164-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: food intake, food selection, fruit and vegetable consumption, physical relocation, neighbourhood food environment

Citation: Kouritzin T, Spence JC and Lee K (2023) Food Intake and Food Selection Following Physical Relocation: A Scoping Review. Public Health Rev 44:1605516. doi: 10.3389/phrs.2023.1605516

Received: 21 October 2022; Accepted: 16 January 2023;
Published: 01 February 2023.

Edited by:

Ana Ribeiro, University Porto, Portugal

Reviewed by:

Mark Green, University of Liverpool, United Kingdom

Copyright © 2023 Kouritzin, Spence and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PHR is edited by the Swiss School of Public Health (SSPH+) in a partnership with the Association of Schools of Public Health of the European Region (ASPHER)+

*Correspondence: Trevor Kouritzin, dGtvdXJpdHpAdWFsYmVydGEuY2E=

This Review is part of the PHR Special Issue “Neighbourhood Influences on Population Health.”

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.