Para I Famagu’on-Ta: Fruit and Vegetable Intake, Food Store Environment, and Childhood Overweight/Obesity in the Children’s Healthy Living Program on Guam.

Auteur(s) :
Fialkowski MK., Nigg C., Novotny R., Leon Guerrero RT., Li F., Matanane L., Silva J.
Date :
Août, 2017
Source(s) :
Hawai’i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health. #76:8 p225-233
Adresse :
University of Guam, Mangilao, Guam (LM, RTLG).

Sommaire de l'article

This cross-sectional study examined the: (1) association between food store environment (FSE), fruit and vegetable (FV) availability and access, and prevalence of early childhood overweight/obesity (COWOB); and (2) influence of young child actual FV intake on the relationship between the FSE and early COWOB prevalence. Anthropometric and socio-demographic data of children (2 to 8 years; N=466) in baseline communities on Guam participating in the Children's Healthy Living (CHL) Program community trial were included. CDC year 2000 growth charts were used to calculate BMI z-scores and categories. FSE factors (fresh FV scores, store type) were assessed using the CX3 Food Availability and Marketing Survey amended for CHL. ArcGIS maps were constructed with geographic coordinates of participant residences and food stores to calculate food store scores within 1 mile of participant's residences. A sub-sample of participants (n = 355) had Food and Activity Log data to calculate FV and energy intakes. Bivariate correlations and logistic regression evaluated associations. Of 111 stores surveyed, 73% were small markets, 16% were convenience stores, and 11% were large grocery/supermarkets. Supermarkets/large grocery stores averaged the highest FV scores. Most participants did not meet FV intake recommendations while nearly half exceeded energy intake recommendations. Living near a small market was negatively correlated with BMI z-score (r = – 0.129, P < .05) while living near a convenience store was positively correlated with BMI z-score (r = 0.092, P < .05). Logistic regression analysis yielded non-significant associations. The high density of small markets may be an opportunity for FSE intervention but further investigation of Guam's FSE influence on health is needed.

Source : Pubmed
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