Food labels and adult BMI in Italy – An unconditional quantile regression approach

Alessandro Bonanno, Francesco Bimbo, Rebecca Cleary () and Elena Castellari ()

Food Policy, 2018, vol. 74, issue C, 199-211

Abstract: A goal of food nutrition labeling policies is to help consumers make informed choices regarding the healthiness of the food they purchase. Yet, findings regarding the effectiveness of label use to decrease negative health outcomes, such as overweight and obesity, are mixed. As most studies focus on estimating mean effects of labels, little is known on whether labels have any effect at the tails of the body weight distribution, which, given the social gradient of obesity, often includes at-risk groups. Additionally, label use, overweight and obesity vary across population subgroups. Thus, the relationship between using food nutrition labels and body weight may be characterized by marked heterogeneity, which the current literature has failed to address. This study explores the non-linearity of the relationship between reading ingredients on the food label and Body Mass Index (BMI) using an unconditional quantile regression estimator and one year of data on adult Italians from the Multipurpose Household Survey. We study this relationship across the BMI distribution and for different groups of respondents, divided by gender, income above and below the sample average, education level, perceived hardships to access food, and regular practice of sport. The results indicate that reading ingredient labels has a negative association with BMI, mostly at higher BMI quartiles (overweight and obese), although a relationship at the highest quartile is only found in a few subsamples. Females, and individuals with a higher risk of being overweight and obese such as low-income, low educated, or those who do not practice sport seem to garner the highest benefit from reading ingredients in the food label. The paper concludes with policy implications, tapping into the recent debate regarding the revision of food labeling in the European Union.

Keywords: Body-mass-index; Food labeling; Unconditional quantile regression (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306919217305237
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jfpoli:v:74:y:2018:i:c:p:199-211

DOI: 10.1016/j.foodpol.2017.12.008

Access Statistics for this article

Food Policy is currently edited by J. Kydd

More articles in Food Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().