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Inverse association between fruit and vegetable intake and BMI even after controlling for demographic, socioeconomic and lifestyle factors.
Obes Facts 2011; 4(6):449-55OF

Abstract

OBJECTIVE

To estimate fruit and vegetable (FV) intake levels of US adult population and evaluate the association between FV intake and BMI status after controlling for confounding demographic, socioeconomic and lifestyle factors. We also sought to identify moderating factors.

METHODS

We used 2007 Behavior Risk Factors Surveillance System (N > 400,000) data. FV intake was dichotomized as ≥5 servings (FV5+) versus <5 servings/ day. BMI status was categorized as normal, overweight, and obese. Identification of moderators was performed by testing interactions between BMI status and other variables using bivariate analyses followed by multiple logistic regression analysis incorporating complex survey sampling design features.

RESULTS

Only 24.6% of US adults consumed ≥5 servings per day and less than 4% consumed 9 or more servings. Overweight (% FV5+ = 23.9%) and obese (21.9%) groups consumed significantly less FV than the normal-weight (27.4%) group (p < 0.0001). This inverse association remained significant even after controlling for potential confounding factors. Multivariate analysis identified five significant moderators (p < 0.0001) after controlling for all evaluated variables: race, sex, smoking status, health coverage, and physical activity. Notably, physically inactive obese males tended to consume the least FV (% FV5+ = 14.7%).

CONCLUSION

Current US population FV intake level is below recommended levels. The inverse association between FV intake and obesity was significant and was moderated by demographic, socioeconomic status, and lifestyle factors. These factors should be considered when developing policies and interventions to increase FV intake.

Authors+Show Affiliations

Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA. moonseong.heo@einstein.yu.eduNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural

Language

eng

PubMed ID

22248995

Citation

Heo, Moonseong, et al. "Inverse Association Between Fruit and Vegetable Intake and BMI Even After Controlling for Demographic, Socioeconomic and Lifestyle Factors." Obesity Facts, vol. 4, no. 6, 2011, pp. 449-55.
Heo M, Kim RS, Wylie-Rosett J, et al. Inverse association between fruit and vegetable intake and BMI even after controlling for demographic, socioeconomic and lifestyle factors. Obes Facts. 2011;4(6):449-55.
Heo, M., Kim, R. S., Wylie-Rosett, J., Allison, D. B., Heymsfield, S. B., & Faith, M. S. (2011). Inverse association between fruit and vegetable intake and BMI even after controlling for demographic, socioeconomic and lifestyle factors. Obesity Facts, 4(6), pp. 449-55. doi:10.1159/000335279.
Heo M, et al. Inverse Association Between Fruit and Vegetable Intake and BMI Even After Controlling for Demographic, Socioeconomic and Lifestyle Factors. Obes Facts. 2011;4(6):449-55. PubMed PMID: 22248995.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Inverse association between fruit and vegetable intake and BMI even after controlling for demographic, socioeconomic and lifestyle factors. AU - Heo,Moonseong, AU - Kim,Ryung S, AU - Wylie-Rosett,Judith, AU - Allison,David B, AU - Heymsfield,Steve B, AU - Faith,Myles S, Y1 - 2011/12/06/ PY - 2012/1/18/entrez PY - 2012/1/18/pubmed PY - 2012/6/7/medline SP - 449 EP - 55 JF - Obesity facts JO - Obes Facts VL - 4 IS - 6 N2 - OBJECTIVE: To estimate fruit and vegetable (FV) intake levels of US adult population and evaluate the association between FV intake and BMI status after controlling for confounding demographic, socioeconomic and lifestyle factors. We also sought to identify moderating factors. METHODS: We used 2007 Behavior Risk Factors Surveillance System (N > 400,000) data. FV intake was dichotomized as ≥5 servings (FV5+) versus <5 servings/ day. BMI status was categorized as normal, overweight, and obese. Identification of moderators was performed by testing interactions between BMI status and other variables using bivariate analyses followed by multiple logistic regression analysis incorporating complex survey sampling design features. RESULTS: Only 24.6% of US adults consumed ≥5 servings per day and less than 4% consumed 9 or more servings. Overweight (% FV5+ = 23.9%) and obese (21.9%) groups consumed significantly less FV than the normal-weight (27.4%) group (p < 0.0001). This inverse association remained significant even after controlling for potential confounding factors. Multivariate analysis identified five significant moderators (p < 0.0001) after controlling for all evaluated variables: race, sex, smoking status, health coverage, and physical activity. Notably, physically inactive obese males tended to consume the least FV (% FV5+ = 14.7%). CONCLUSION: Current US population FV intake level is below recommended levels. The inverse association between FV intake and obesity was significant and was moderated by demographic, socioeconomic status, and lifestyle factors. These factors should be considered when developing policies and interventions to increase FV intake. SN - 1662-4033 UR - https://www.unboundmedicine.com/medline/citation/22248995/Inverse_association_between_fruit_and_vegetable_intake_and_BMI_even_after_controlling_for_demographic_socioeconomic_and_lifestyle_factors_ L2 - https://www.karger.com?DOI=10.1159/000335279 DB - PRIME DP - Unbound Medicine ER -