| Literature DB >> 34983469 |
Divya Ravikumar1, Eleni Spyreli2, Jayne Woodside3, Michelle McKinley3, Colette Kelly1.
Abstract
BACKGROUND: The food environment within and surrounding homes influences family dietary habits with socio-economic areas at a nutritional disadvantage. Families' perception of the food environment and how it influences their food decisions is less clear. This rapid review aimed to synthesise qualitative evidence of parental perspectives of the food environment and their influence on food decisions among disadvantaged families.Entities:
Mesh:
Year: 2022 PMID: 34983469 PMCID: PMC8727174 DOI: 10.1186/s12889-021-12414-z
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Full version of search strategy used in literature search
| Search Number | Search String |
|---|---|
| #1 | parent* OR famil*OR caregiver* OR mother* OR father* OR child* OR “caregiver” |
| #2 | perspective* OR perception* OR thought* OR feeling* OR opinion* OR view OR attitude* OR beliefs |
| #3 | qualitative OR “mixed methods” |
| #4 | “low-income” OR “low-socioeconomic” OR deprived OR disadvantaged OR deprivation OR “low-income” OR minority OR “food poverty” OR “low socio-economic class” OR impoverished OR poor OR poverty OR “food insecurity” |
| #5 | food* OR nutritio* OR diet* OR meal* OR snack* OR purchas* Or eat* OR prep* OR cook* OR din* OR provid* |
| #6 | influen* OR impact OR effect* OR affect* OR factor* |
| #7 | environment* OR ecosystem OR “urban area” OR surrounding* OR “retail environment” OR “shopping mall” OR “shopping centre” OR retail OR “grocery store” OR “food retail” OR communit* OR neighbourhood OR neighborhood OR “retail food environment” OR store* OR shop* OR “local shop” OR “convenience store” OR supermarket* OR setting* OR home* OR house* |
| #8 | #1 AND #2 AND #3 AND #4 AND #5 AND #6 AND #7 |
Fig. 1Flowchart outlining literature search results and selection process
Demographic characteristics of included studies
| Study ID, Country | Study aim | Demographics | Data collection & analysis approach | Quality | |||
|---|---|---|---|---|---|---|---|
| Participants, Number, Age | Child age | Socioeconomic indicator, Ethnicity | SRQR Score | ||||
| 1 | Agrawal 2019, US [ | To understand how changes in low-income mothers’ work, home, and childcare environments impact their food practices for young children | Mothers ( 23-44 years | 3-4 years | "Head Start" recipients White ( | Individual interviews (X2) Grounded theory | 13 |
| 2 | Alcazar 2017, US [ | To explore the adoption of Brighter Bites healthy eating strategies in low-income Spanish-speaking families, as well as barriers to the sustainability of improved dietary behaviors | Mothers ( | ||||
| age not specified | School age | ||||||
"National School Lunch Program" recipients Hispanic | Photovoice Thematic analysis | 13 | |||||
| 3 | Berge 2016, US [ | To identify meal-level characteristics within ethnically and socio-economically diverse households that were similar and/or different between households with and without an overweight/obese child | Mothers & fathers ( 25-65 years | 6-12 years | Majority <$35,000 annually African American ( | Individual interviews Content analysis | 15 |
| 4 | Berge 2019, US [ | To identify qualitative themes regarding parents’ perspectives about meal characteristics and meal types that influence family meal frequency | Mothers & fathers ( 34.5 ± 7.1 years | 5-7 years | Majority <$35,000 annually White ( | Individual interviews Content analysis | 17 |
| 5 | Chen 2014, US [ | To evaluate the impact of an intervention promoting ethnic produce through classroom food demonstrations, tastings and home cooking activities among ethnically diverse elementary-school children | Mothers & fathers ( age not specified | 5-8 years | Majority free and/or reduced-price school meals recipients White ( | Focus groups Grounded theory | 16 |
| 6 | Hardcastle 2016, UK [ | To explore the perceptions and attitudes that underlie food choices, and, the impact of a school-based healthy eating intervention in mothers from an economically disadvantaged community | Mothers ( 42.8 ± 3.5 years | 13-15 years | Socially deprived area Ethnicity not specified | Individual phone interviews Thematic analysis | 17 |
| 7 | Harmon 2015, US [ | To explore children’s involvement in meal preparation at home and to examine changes in children’s attitudes and self-efficacy related to cooking | Mothers, fathers & grandmothers ( age not specified | 9-12 years | Attending high-poverty and low-performing schools African American ( | Individual phone interviews Thematic analysis | 15 |
| 8 | Herman 2012, US [ | To understand the contextual factors that influence how low-income mothers felt about addressing behavioral targets for preventing obesity and their aspirations in feeding their children | Mothers ( 20-41 years | 3-5.5 years | "Supplemental Nutrition Assistance Program" recipients Black ( | Focus groups Thematic analysis | 21 |
| 9 | MacNell 2017, US [ | To show how residents of an urban food desert navigate and understand their food environments | Mothers ( age not specified | 2-8 years | "Supplemental Nutrition Assistance Program" recipients African American ( | Individual interviews Thematic analysis | 8 |
| 10 | Penilla 2017, US [ | To explore parents’ experiences in providing meals and opportunities to play to their children aged 2 to 5 years | Mothers & fathers ( 30±5.8, 35±9.1 respectively | 2-5 years | Low-income area Latino | Focus groups Conceptual framework analysis | 16 |
Fig 2.Graph outlining Standards of Reporting Qualitative Research (SRQR) scores for each included study