Advertising Influences Food Choices of University Students With ADHD

The association between junk foods consumption and attention deficit hyperactivity disorder in children and adolescents: a systematic review and meta-analysis of observational studies

The adverse effects of junk foods on the risk of attention deficit hyperactivity disorder (ADHD) symptoms were reported in several studies. In this meta-analysis, the association between junk food consumption and the risk of ADHD was investigated in children and adolescents. A comprehensive systematic search was conducted to find all relevant literature via four databases, including PubMed, Web of Science, Scopus, and Google scholar, up to September 2022. Two independent authors screened all documents based on inclusion criteria. The overall effect sizes and related 95% confidence interval (CI) were pooled with the random effect approach. Subgroup analysis was done to measure potential sources of heterogeneity between studies. The quality of the included studies was evaluated with The Newcastle-Ottawa scale (NOS). Nine observational studies with 58,296 children /adolescents were eligible to be include in the meta-analysis. According to the random effect model, there was a positive relation between the consumption of junk foods and ADHD symptoms (odds ratio (OR): 1.24, 95%CI 1.15-1.34, P < 0.001, I2: 37.4%, P = 0.085). A similar significant positive association was shown in the subgroups analysis by different junk foods (sweetened beverages/soft drinks, sweets/candies, and other types of junk foods). This meta-analysis finding demonstrated that consuming junk foods, especially sweetened beverages/soft drinks, and sweets/candies is associated with ADHD symptoms.

Food Perceptions in Adults with and without ADHD

INTRODUCTION

Adults with attention-deficit/hyperactivity disorder (ADHD) have unhealthy eating habits, associated with overweight/obesity. We explored whether they present with different food-related benefit/risk perceptions, compared to those without ADHD.

METHODS

One hundred five university students with (n = 36) and without (n = 69) ADHD, aged 22-30, participated in the study. They rated the level of frequency and likelihood of food consumption, as well as the perceived attractiveness, convenience, and risk of 32 healthy and unhealthy food items.

RESULTS

The findings revealed significantly lower healthy/unhealthy food frequency consumption ratios for the ADHD group compared with the non-ADHD one but no differences in the ratios of estimated likelihood of food consumption and perceptions (attractiveness, convenience, and risk).

CONCLUSION

The results of this study demonstrated a discrepancy between the eating behavior (more unhealthy eating patterns in adults with ADHD compared with controls) and their food-related perceptions (same perceptions regarding the benefit and risk of foods in both groups).

A deep learning approach to identify unhealthy advertisements in street view images

While outdoor advertisements are common features within towns and cities, they may reinforce social inequalities in health. Vulnerable populations in deprived areas may have greater exposure to fast food, gambling and alcohol advertisements, which may encourage their consumption. Understanding who is exposed and evaluating potential policy restrictions requires a substantial manual data collection effort. To address this problem we develop a deep learning workflow to automatically extract and classify unhealthy advertisements from street-level images. We introduce the Liverpool [Formula: see text] Street View (LIV360SV) dataset for evaluating our workflow. The dataset contains 25,349, 360 degree, street-level images collected via cycling with a GoPro Fusion camera, recorded Jan 14th-18th 2020. 10,106 advertisements were identified and classified as food (1335), alcohol (217), gambling (149) and other (8405). We find evidence of social inequalities with a larger proportion of food advertisements located within deprived areas and those frequented by students. Our project presents a novel implementation for the incidental classification of street view images for identifying unhealthy advertisements, providing a means through which to identify areas that can benefit from tougher advertisement restriction policies for tackling social inequalities.

Food Marketing in an Obesogenic Environment: a Narrative Overview of the Potential of Healthy Food Promotion to Children and Adults

Purpose of Review

There is abundant evidence that food marketing influences children’s and adults’ food preferences and consumption. As such, exposure to unhealthy food marketing is a widely acknowledged risk factor contributing to the development of overweight and obesity. Less is known about the effects of healthy food promotion on people’s dietary behavior. This narrative review describes research from the past 5 years focused on the effects of healthy food marketing on children’s and adults’ food preferences and dietary intake. Our aim is to gain insight into the potential effects and mechanistic underpinnings of healthy food promotion, thereby building on existing knowledge on underlying mechanisms of the effectiveness of unhealthy food marketing.

Recent Findings

Only a small number of studies directly examined the effects of healthy food promotion on children’s and adults’ dietary behavior. Most studies targeted children’s fruit and/or vegetable intake and used a variety of marketing techniques, ranging from television adverts to social media influencer marketing. Six out of ten studies found a positive effect of healthy food promotion, indicating that healthy food marketing has the potential to influence dietary behavior.

Summary

Food marketing is highly effective in stimulating and reinforcing food consumption, in particular for energy-dense foods. Further investigation and experimentation into the efficiency and effectiveness of healthy food promotion are needed to determine how marketing techniques could be used to improve dietary behavior. The healthy food promotion model provides a framework for future research in this area.