Child as change agent. The potential of children to increase healthy food purchasing

Wingert, Katherine; Zachary, Drew A.; Fox, Monica; Gittelsohn, Joel; Surkan, Pamela J.

doi:10.1016/j.appet.2014.06.104

Cited by 64 publications

(60 citation statements)

References 27 publications

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“…Family was another social dimension where the perspectives of the two respondent types converged. Similar to other research, all respondents stated that family, especially children, had a major influence on customer purchasing decisions (Baranowski et al 2008; Wingert et al 2014). Future in-store intervention research should consider marketing strategies that highlight the theme of family or that appeal to children.…”

Section: Discussionsupporting

confidence: 81%

What influences Latino grocery shopping behavior? Perspectives on the small food store environment from managers and employees in San Diego, California

Sanchez-Flack

Baquero

Linnan

et al. 2016

Ecology of Food and Nutrition

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To inform the design of a multilevel in-store intervention, this qualitative study utilized in-depth semistructured interviews with 28 managers and 10 employees of small-to-medium-sized Latino food stores (tiendas) in San Diego, California, to identify factors within the tienda that may influence Latino customers’ grocery-shopping experiences and behaviors. Qualitative data analysis, guided by grounded theory, was performed using open coding. Results suggest that future interventions should focus on the physical (i.e., built structures) and social (i.e., economic and socio-cultural) dimensions of store environments, including areas where the two dimensions interact, to promote the purchase of healthy food among customers.

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Section: Discussionsupporting

confidence: 81%

What influences Latino grocery shopping behavior? Perspectives on the small food store environment from managers and employees in San Diego, California

Sanchez-Flack

Baquero

Linnan

et al. 2016

Ecology of Food and Nutrition

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“…While some research groups have focused on interventions that target increased PA participation and improved health behaviors at the family level, 39,40 others have utilized either parents or children as agents of change to increase healthfulness among all family members. [41][42][43] The current findings suggest that although PA is significantly correlated between children and parents during times that they are likely to be together, correlations are weak to moderate at best. Thus, these findings suggest that family-based PA interventions that target both children and parents might be most effective.…”

Section: Discussionmentioning

confidence: 79%

Accelerometry-Derived Physical Activity Correlations Between Parents and Their Fourth-Grade Child Are Specific to Time of Day and Activity Level

Strutz¹,

Browning²,

Smith³

et al. 2018

Journal of Physical Activity and Health

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Background: The purpose of this study was to employ high-frequency accelerometry to explore parent-child physical activity (PA) relationships across a free-living sample. Methods: We recorded 7 days of wrist-mounted accelerometry data from 168 dyads of elementary-aged children and their parents. Using a custom MATLAB program (Natick, MA), we summed child and parent accelerations over 1 and 60 seconds, respectively, and applied published cut points to determine the amount of time spent in moderate-vigorous PA (MVPA). Bivariate and partial correlations examined parent-child relationships between percentage of time spent in MVPA. Results: Weak to moderate positive correlations were observed before school (r = .326, P < .001), after school (r = .176, P = .023), during the evening (r = .213, P = .006), and on weekends (r = .231, P = .003). Partial correlations controlling for parent-child MVPA revealed significant relationships during the school day (r = .185, P = .017), before school (r = .315, P < .001), and on weekends (r = .266, P = .001). In addition, parents of more active children were significantly more active than parents of less active children during the evening. Conclusions: These data suggest that there is some association between parent-child PA, especially before school and on weekends. Future interventions aiming to increase PA among adults and children must consider patterns of MVPA specific to children and parents and target them accordingly.

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“…Although parents or caregivers are the primary purchasers of foods for households, children's preferences can drive purchasing decisions and shopping behavior (41,42). Children's food preferences have been found to be highly susceptible to branding and marketing strategies (43,44) and are highly associated with dietary preferences and health outcomes later in life (45).…”

Section: Discussionmentioning

confidence: 99%

Trends in racial/ethnic and income disparities in foods and beverages consumed and purchased from stores among US households with children, 2000–2013,

Poti

Popkin

2016

The American Journal of Clinical Nutrition

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Background: It is unclear whether racial/ethnic and income differences in foods and beverages obtained from stores contribute to disparities in caloric intake over time. Objective: We sought to determine whether there are disparities in calories obtained from store-bought consumer packaged goods (CPGs), whether brands (name brands compared with private labels) matter, and if disparities have changed over time. Design: We used NHANES individual dietary intake data among households with children along with the Nielsen Homescan data on CPG purchases among households with children. With NHANES, we compared survey-weighted energy intakes for 2003-2006 and 2009-2012 from store and nonstore sources by race/ethnicity [non-Hispanic whites (NHWs), non-Hispanic blacks (NHBs), and Hispanic Mexican-Americans) and income [#185% federal poverty line (FPL), 186-400% FPL, and .400% FPL]. With the Nielsen data, we compared 2000-2013 trends in calories purchased from CPGs (obtained from stores) across brands by race/ ethnicity (NHW, NHB, and Hispanic) and income. We conducted random-effect models to derive adjusted trends and differences in calories purchased (708,175 observations from 64,709 unique households) and tested whether trends were heterogeneous by race/ethnicity or income. Results: Store-bought foods and beverages represented the largest component of dietary intake, with greater decreases in energy intakes in nonstore sources for foods and in store sources for beverages. Beverages from stores consistently decreased in all subpopulations. However, in adjusted models, reductions in CPG calories purchased in 2009-2012 were slower for NHB and low-income households than for NHW and high-income households, respectively. The decline in calories from name-brand food purchases was slower among NHB, Hispanic, and lowest-income households. NHW and high-income households had the highest absolute calories purchased in 2000. Conclusions: Across 2 large data sources, we found decreases in intake and purchases of beverages from stores across racial/ethnic and income groups. However, potentially beneficial reductions in calories purchased were more pronounced in some subgroups over others.Am J Clin Nutr 2016;104:750-9.

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Child as change agent. The potential of children to increase healthy food purchasing

Cited by 64 publications

References 27 publications

What influences Latino grocery shopping behavior? Perspectives on the small food store environment from managers and employees in San Diego, California

What influences Latino grocery shopping behavior? Perspectives on the small food store environment from managers and employees in San Diego, California

Accelerometry-Derived Physical Activity Correlations Between Parents and Their Fourth-Grade Child Are Specific to Time of Day and Activity Level

Trends in racial/ethnic and income disparities in foods and beverages consumed and purchased from stores among US households with children, 2000–2013,

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