The effects of perceived barriers to healthy eating on dietary consumption among parents of elementary-school aged children

Background: Healthy eating plays critical roles in the prevention of many chronic diseases, but there are many barriers in life that prevent people from adopting and maintaining healthy diets. Thus, identifications of barriers that people perceive they have in trying to eat healthy can guide the strategies for dietary behavior change interventions by taking account of the barriers. Objective: The purpose of this study was to identify and quantify the perceived barriers to healthy eating (PBHE), to investigate the relationship between socioeconomic factors and PBHE, and to explore the associations between PBHE and dietary intake among parents of elementary-school aged children living in South Phoenix, AZ. Methods: Socioeconomic factors and PBHEs were obtained via survey and diet was assessed by two interviewer-assisted 24 h diet recalls. The associations between employment and PBHEs, education and PBHEs, and household monthly income and PBHEs were analyzed by Mann-Whitney Test, Kruskal Wallis Test, and Spearman’s correlation test, respectively. The relationship between PBHEs and dietary intake were analyzed by Spearman’s correlation test. Linear regression was used to assess the associations between total PBHE, and dietary intake (including added sugar, fruit and vegetable), adjusted by covariates (including socioeconomic status, birth country, age and gender). Results: Of 149 participants who completed the survey (mean age = 38.47±7.08 y), 136 completed the 24 h diet recalls. The mean reported total, social support, emotions and daily mechanics PBHE scores were 2.63±0.91, 2.52±1.16, 2.71±1.06, and 2.58±0.95, respectively, out of a 5-point scale. Daily fruit, vegetable, sugar-sweetened beverage, sweetened foods, and added sugar intake were reported as 1.66±1.56 servings, 2.45±1.43 servings, 1.19±1.30 servings, 2.02±2.12 servings and 49.93±31.17 g, respectively. Employment status was significantly associated with total PBHE (Z = -2.28, p=0.023), and support PBHE (Z = -2.623, p=0.009). Education was significantly related to total PBHE (χ2 = -7.987, p=0.046), and daily mechanics PBHE (χ2= 11.735, p=0.008). Household monthly income levels were significantly correlated to daily mechanics PBHE (r = -0.265, p=0.005). Added sugar was positively correlated with total PBHE (r=0.202, p=0.020), emotions PBHE (r=0.239, p=0.006), and daily mechanics PBHE (r=0.179, p=0.040). Sugar sweetened beverage intake was significantly related to emotions PBHE (r=0.183, p=0.035). When adjusting for socioeconomic factors in the regression analysis, there was no significant association between PBHE and diet intake. Conclusion: Overall, results suggest PBHEs listed in this study are mainly associated with socioeconomic factors, but they are not related to diet intake. Future studies will focus on the precise role of overcoming some identified barriers in improving healthy eating behaviors, and the causality between barriers and healthy eating.