Perceived Produce Availability and Child Fruit and Vegetable Intake: The Healthy Communities Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Measures
2.3. Data Analysis
- Model 1: perceived neighborhood produce availability score (predictor) in relation to household fruit and vegetable availability score (outcome).
- Model 2: perceived neighborhood produce availability score (predictor) in relation to child fruit and vegetable intake (outcome).
- Model 3: household fruit and vegetable availability score (predictor) in relation to child fruit and vegetable intake (outcome).
- Model 4: perceived neighborhood produce availability score (predictor) in relation to child BMI z-score (outcome).
- Model 5: household fruit and vegetable availability score (predictor) in relation to child BMI z-score (outcome).
- Model 6: child fruit and vegetable intake (predictor) in relation to child BMI z-score (outcome).
3. Results
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- CDC. Children Eating More Fruit, but Fruit and Vegetable Intake Still Too Low. CDC Online Newsroom. Available online: https://www.cdc.gov/media/releases/2014/p0805-fruits-vegetables.html (accessed on 9 September 2020).
- Boeing, H.; Bechthold, A.; Bub, A.; Ellinger, S.; Haller, D.; Kroke, A.; Leschik-Bonnet, E.; Müller, M.J.; Oberritter, H.; Schulze, M.; et al. Critical review: Vegetables and fruit in the prevention of chronic diseases. Eur. J. Nutr. 2012, 51, 637–663. [Google Scholar] [CrossRef] [Green Version]
- Centers for Disease Control and Prevention. Morbidity and Mortality Weekly Report: Recommended Community Strategies and Measurements to Prevent Obesity in the United States; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2009; Volume 58, pp. 1–26.
- Davis, M.M.; Gance-Cleveland, B.; Hassink, S.; Johnson, R.; Paradis, G.; Resnicow, K. Recommendations for prevention of childhood obesity. Pediatrics 2007, 120 (Suppl. S4), S229–S253. [Google Scholar] [CrossRef] [Green Version]
- Ong, J.X.; Ullah, S.; Magarey, A.; Miller, J.; Leslie, E. Relationship between the home environment and fruit and vegetable consumption in children aged 6–12 years: A systematic review. Public Health Nutr. 2016, 20, 464–480. [Google Scholar] [CrossRef] [PubMed]
- Yee, A.Z.H.; Lwin, M.O.; Ho, S.S. The influence of parental practices on child promotive and preventive food consumption behaviors: A systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 47. [Google Scholar] [CrossRef] [PubMed]
- Pearson, N.; Biddle, S.J.; Gorely, T. Family correlates of fruit and vegetable consumption in children and adolescents: A Systematic review. Public Health Nutr. 2009, 12, 267. [Google Scholar] [CrossRef] [PubMed]
- Caspi, C.E.; Sorensen, G.; Subramanian, S.V.; Kawachi, I. The local food environment and diet: A systematic review. Health Place 2012, 18, 1172–1187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hasanthi Abeykoon, A.; Engler-Stringer, R.; Muhajarine, N. Health-related outcomes of new grocery store interventions: A systematic review. Public Health Nutr. 2017, 20, 2236–2248. [Google Scholar] [CrossRef]
- USDA ERS. Definitions of Food Security. Available online: https://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/definitions-of-food-security/ (accessed on 2 March 2021).
- Poulsen, M.N.; Bailey-Davis, L.; Pollak, J.; Hirsch, A.G.; Schwartz, B.S. Household food insecurity and home food availability in relation to youth diet, body mass index, and adiposity. J. Acad. Nutr. Diet. 2019, 119, 1666–1675. [Google Scholar] [CrossRef]
- Hanson, K.L.; Connor, L.M. Food insecurity and dietary quality in US adults and children: A systematic review. Am. J. Clin. Nutr. 2014, 100, 684–692. [Google Scholar] [CrossRef] [Green Version]
- Mook, K.; Laraia, B.A.; Oddo, V.M.; Jones-Smith, J.C. Food security status and barriers to fruit and vegetable consumption in two economically deprived communities of Oakland, California, 2013–2014. Prev. Chronic Dis. 2016, 13, 150402. [Google Scholar] [CrossRef] [Green Version]
- Mackenbach, J.D.; Nelissen, K.G.M.; Dijkstra, S.C.; Poelman, M.P.; Daams, J.G.; Leijssen, J.B.; Nicolaou, M. A Systematic review on socioeconomic differences in the association between the food environment and dietary behaviors. Nutrients 2019, 11, 2215. [Google Scholar] [CrossRef] [Green Version]
- Sonia Arteaga, S.; Loria, C.M.; Crawford, P.B.; Fawcett, S.B.; Fishbein, H.A.; Gregoriou, M.; John, L.V.; Kelley, M.; Pate, R.R.; Ritchie, L.D.; et al. The healthy communities study: Its rationale, aims, and approach. Am. J. Prev. Med. 2015, 49, 615–623. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Strauss, W.J.; Sroka, C.J.; Frongillo, E.A.; Sonia Arteaga, S.; Loria, C.M.; Leifer, E.S.; Wu, C.O.; Patrick, H.; Fishbein, H.A.; John, L.V. Statistical design features of the healthy communities study. Am. J. Prev. Med. 2015, 49, 624–630. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- John, L.V.; Gregoriou, M.; Pate, R.R.; Fawcett, S.B.; Crawford, P.B.; Strauss, W.J.; Frongillo, E.A.; Ritchie, L.D.; Loria, C.M.; Kelley, M.; et al. Operational implementation of the healthy communities study: How communities shape children’s health. Am. J. Prev. Med. 2015, 49, 631–635. [Google Scholar] [CrossRef] [PubMed]
- Ritchie, L.D.; Wakimoto, P.; Woodward-Lopez, G.; Thompson, F.E.; Loria, C.M.; Wilson, D.K.; Kao, J.; Crawford, P.B.; Webb, K.L. The healthy communities study nutrition assessments: Child diet and the school nutrition environment. Am. J. Prev. Med. 2015, 49, 647–652. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- National Cancer Institute (NCI). Dietary Screener Questionnaire in the NHANES 2009-10: Background; National Cancer Institute: Bethesda, MD, USA, 2021.
- Kuczmarski, R.J.; Ogden, C.L.; Guo, S.S.; Grummer-Strawn, L.M.; Flegal, K.M.; Mei, Z.; Wei, R.; Curtin, L.R.; Roche, A.F.; Johnson, C.L. 2000 CDC growth charts for the United States: Methods and development. Vital Health Stat. 2002, 11, 1–203. [Google Scholar]
- Hager, E.R.; Quigg, A.M.; Black, M.M.; Coleman, S.M.; Heeren, T.; Rose-Jacobs, R.; Cook, J.T.; Ettinger De Cuba, S.A.; Casey, P.H.; Chilton, M.; et al. Development and validity of a 2-item screen to identify families at risk for food insecurity. Pediatrics 2010, 126, e26–e32. [Google Scholar] [CrossRef] [Green Version]
- Tibshirani, R. Regression shrinkage and selection via the lasso. Source J. R. Stat. Soc. Ser. B 1996, 58, 267–288. [Google Scholar] [CrossRef]
- Nour, M.; Lutze, S.A.; Grech, A.; Allman-Farinelli, M. The relationship between vegetable intake and weight outcomes: A systematic review of cohort studies. Nutrients 2018, 10, 1626. [Google Scholar] [CrossRef] [Green Version]
- Rautiainen, S.; Wang, L.; Lee, I.M.; Manson, J.E.; Buring, J.E.; Sesso, H.D. Higher Intake of fruit, but not vegetables or fiber, at baseline is associated with lower risk of becoming overweight or obese in middle-aged and older women of normal BMI at baseline. J. Nutr. 2015, 145, 960–968. [Google Scholar] [CrossRef] [Green Version]
- He, K.; Hu, F.B.; Colditz, G.A.; Manson, J.E.; Willett, W.C.; Liu, S. Changes in Intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women. Int. J. Obes. Relat. Metab. Disord. 2004, 28, 1569–1574. [Google Scholar] [CrossRef] [Green Version]
- Kahn, H.S.; Tatham, L.M.; Rodriguez, C.; Calle, E.E.; Thun, M.J.; Heath, C.W., Jr. Stable behaviors associated with adults’ 10-year change in body mass index and likelihood of gain at the waist. Am. J. Public Health 1997, 87, 747–754. [Google Scholar] [CrossRef] [Green Version]
- Ledoux, T.A.; Hingle, M.D.; Baranowski, T. Relationship of fruit and vegetable intake with adiposity: A systematic review. Obes. Rev. 2011, 12, e143–e150. [Google Scholar] [CrossRef]
- Koplan, J.P.; Liverman, C.T.; Kraak, V.I.; Wisham, S.L. Progress in Preventing Childhood Obesity: How do We Measure Up; The National Academic Press: Washington, DC, USA, 2007; pp. 1–476. [Google Scholar] [CrossRef]
- Van Ansem, W.J.; Schrijvers, C.T.; Rodenburg, G.; van de Mheen, D. Is there an association between the home food environment, the local food shopping environment and children’s fruit and vegetable intake? Results from the Dutch INPACT Study. Public Health Nutr. 2012, 7, 1206–1214. [Google Scholar] [CrossRef] [Green Version]
- Shier, V.; Nicosia, N.; Datar, A. Neighborhood and home food environment and children’s diet and obesity: Evidence from military personnel’s installation assignment. Soc. Sci. Med. 2016, 158, 122. [Google Scholar] [CrossRef] [Green Version]
- Arcan, C.; Neumark-Sztainer, D.; Hannan, P.; Van Den Berg, P.; Story, M.; Larson, N. Parental eating behaviours, home food environment and adolescent intakes of fruits, vegetables and dairy foods: Longitudinal findings from project EAT. Public Health Nutr. 2007, 10, 1257–1265. [Google Scholar] [CrossRef] [Green Version]
- Lora, K.R.; Branscum, P.W.; Chen, S.; Wakefield, D. Home food environment factors associated with hispanic preschoolers’ intake of fruits and vegetables. Fam. Community Health 2019, 42, 261–270. [Google Scholar] [CrossRef]
- Groele, B.; Głąbska, D.; Gutkowska, K.; Guzek, D. Mother’s fruit preferences and consumption support similar attitudes and behaviors in their children. Int. J. Environ. Res. Public Health 2018, 15, 2833. [Google Scholar] [CrossRef] [Green Version]
- Groele, B.; Głąbska, D.; Gutkowska, K.; Guzek, D. Mothers’ vegetable consumption behaviors and preferences as factors limiting the possibility of increasing vegetable consumption in children in a national sample of polish and Romanian respondents. Nutrients 2019, 11, 1078. [Google Scholar] [CrossRef] [Green Version]
- Sharman, S.J.; Skouteris, H.; Powell, M.B.; Watson, B. Factors related to the accuracy of self-reported dietary intake of children aged 6 to 12 years elicited with interviews: A systematic review. J. Acad. Nutr. Diet. 2016, 116, 76–114. [Google Scholar] [CrossRef]
- Mathieu, N.P.; Sommer, E.C.; Mitchell, S.J.; Barkin, S.L. Urban latino families’ food built environment and young children’s produce consumption. J. Health Care Poor Underserved 2016, 27, 1899–1908. [Google Scholar] [CrossRef] [Green Version]
Child and Household Characteristics | n | % |
---|---|---|
Female child | 2614 | 50.9 |
Child race/ethnicity | ||
Hispanic or Latino | 2295 | 44.7 |
Non-Hispanic White | 1520 | 29.6 |
Non-Hispanic African American | 927 | 18.0 |
Non-Hispanic Other | 396 | 7.7 |
Child overweight or obese | 2081 | 40.5 |
Household food insecure | 2293 | 44.6 |
Household annual income | ||
Up to $35,000 | 2640 | 51.4 |
Greater than $35,000 | 2498 | 48.6 |
Maximum parent education level for biological parents | ||
Less than high school | 1166 | 22.7 |
High school diploma, GED or equivalent | 1038 | 20.2 |
Some college or Associate Degree | 1284 | 25.0 |
Bachelor’s Degree | 786 | 15.3 |
Graduate Degree | 868 | 16.9 |
Maximum employment status of biological parents | ||
Working full-time for pay | 3747 | 72.9 |
Working part-time for pay | 518 | 10.1 |
Unemployed | 313 | 6.1 |
Other | 539 | 10.5 |
Community Characteristics | ||
U.S. region | ||
Midwest | 991 | 19.3 |
Northeast | 791 | 15.4 |
South | 2135 | 41.6 |
West | 1221 | 23.8 |
Urbanicity | ||
Rural | 1162 | 22.6 |
Suburban | 2034 | 39.6 |
Urban | 1942 | 37.8 |
Child and Household Characteristics | Mean | SD |
Child age (years) | 9.3 | 2.7 |
Community Characteristics | ||
Community race/ethnicity | ||
Percent of population aged 5 to 14 years that are African American | 19.7 | 23.4 |
Percent of population aged 5 to 14 years that are Hispanic | 34.7 | 29.6 |
Community socioeconomic status | ||
Percent of population below the federal poverty level | 20.6 | 10.6 |
Percent of population in labor force 16 years and over who are unemployed | 8.8 | 3.4 |
Outcomes | ||
Perceived neighborhood produce availability score 1 | 3.4 | 0.8 |
Ease of access 1 | 3.5 | 0.8 |
Variety 1 | 3.4 | 0.9 |
Quality 1 | 3.2 | 0.9 |
Household fruit and vegetable availability score 2 | 3.3 | 0.7 |
Fruit availability 2 | 3.1 | 0.9 |
Dark green vegetable availability 2 | 3.5 | 0.7 |
Child fruit and vegetable intake (cups/day) 3 | 2.5 | 0.9 |
Body-mass-index-for-age-z-score (BMI z-score) | 0.7 | 1.2 |
Model | Predictor | Outcome | β | 95% CI | p |
---|---|---|---|---|---|
1 | Perceived neighborhood produce availability score 1 | Household fruit and vegetable availability score 2,3 | 0.09 | 0.06, 0.11 | <0.001 |
2 | Perceived neighborhood produce availability score 1 | Child fruit and vegetable intake (cups/day) 3 | 0.03 | 0.00, 0.07 | 0.08 |
3 | Household fruit and vegetable availability score 2 | Child fruit and vegetable intake (cups/day) 3 | 0.32 | 0.28, 0.35 | <0.001 |
4 | Perceived neighborhood produce availability score 1 | Child BMI z-score 4 | −0.03 | −0.07, 0.02 | 0.25 |
5 | Household fruit and vegetable availability score 2 | Child BMI z-score 4 | 0.00 | −0.05, 0.04 | 0.83 |
6 | Child Fruit and vegetable intake (cups/day) | Child BMI z-score 4 | −0.05 | −0.09, −0.02 | 0.002 |
Food Insecure Households 1 (n = 2293) | Food Secure Households 1 (n = 2845) | |||||
---|---|---|---|---|---|---|
Predictor | Outcome | β | 95% CI | β | 95% CI | p Interaction |
Perceived neighborhood produce availability score 2 | Household fruit and vegetable availability score 3,4 | 0.10 | 0.07, 0.14 | 0.06 | 0.02, 0.09 | 0.05 |
Household fruit and vegetable availability score 3 | Child fruit and vegetable intake (cups/day) 4 | 0.28 | 0.23, 0.33 | 0.36 | 0.30, 0.42 | 0.03 |
Child Fruit and vegetable intake (cups/day) | Child BMI z-score 5 | 0.00 | −0.05, 0.05 | −0.10 | −0.14, −0.05 | 0.01 |
Low-Income Households 1 (n = 2640) | High-Income Households 1 (n = 2498) | |||||
---|---|---|---|---|---|---|
Predictor | Outcome | β | 95% CI | β | 95% CI | p Interaction |
Perceived neighborhood produce availability score 2 | Household fruit and vegetable availability score 3,4 | 0.09 | 0.06, 0.12 | 0.09 | 0.05, 0.12 | 0.80 |
Household fruit and vegetable availability score 3 | Child fruit and vegetable intake (cups/day) 4 | 0.28 | 0.23, 0.33 | 0.37 | 0.31, 0.43 | 0.02 |
Child fruit and vegetable intake (cups/day) | Child BMI z-score 5 | −0.04 | −0.09, 0.01 | −0.07 | −0.13, −0.02 | 0.33 |
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Moffat, L.F.; Ritchie, L.D.; Gosliner, W.; Plank, K.R.; Au, L.E. Perceived Produce Availability and Child Fruit and Vegetable Intake: The Healthy Communities Study. Nutrients 2021, 13, 3681. https://doi.org/10.3390/nu13113681
Moffat LF, Ritchie LD, Gosliner W, Plank KR, Au LE. Perceived Produce Availability and Child Fruit and Vegetable Intake: The Healthy Communities Study. Nutrients. 2021; 13(11):3681. https://doi.org/10.3390/nu13113681
Chicago/Turabian StyleMoffat, Laurel F., Lorrene D. Ritchie, Wendi Gosliner, Kaela R. Plank, and Lauren E. Au. 2021. "Perceived Produce Availability and Child Fruit and Vegetable Intake: The Healthy Communities Study" Nutrients 13, no. 11: 3681. https://doi.org/10.3390/nu13113681
APA StyleMoffat, L. F., Ritchie, L. D., Gosliner, W., Plank, K. R., & Au, L. E. (2021). Perceived Produce Availability and Child Fruit and Vegetable Intake: The Healthy Communities Study. Nutrients, 13(11), 3681. https://doi.org/10.3390/nu13113681