Dataset Information

Implicit Messages Regarding Unhealthy Foodstuffs in Chinese Television Advertisements: Increasing the Risk of Obesity.

ABSTRACT: Previous studies indicated that television (TV) advertising is associated with higher rates of obesity. The rate of obesity and overweight continues to rise in mainland China, bringing into question whether TV advertising to young audiences might be partly to blame. This study investigated messaging delivered through TV advertisements regarding healthy and unhealthy foodstuffs. A total of 42 major food brands and 480 advertisements were analysed for content in this study. The results showed that the majority of TV spots advertised products with poor nutritional content and had a potential to mislead audiences concerning products' actual nutritional value. The tactics of repetition and appeals of premium offerings on food brands have a potential to influence the purchase intentions. Additional qualitative observation involving the social bond, social context and cultural factors pertaining to mood alterations were highlighted. The discussion addressed product attributes reflected by culture and the implicit messages of marketing claims may increase the risk of obesity. Thus, public health policymakers and researchers were encouraged to act urgently to evaluate the obesity risks of unhealthy food advertised in the media and to support healthy foods.

SUBMITTER: Chang A

PROVIDER: S-EPMC5800169 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Implicit Messages Regarding Unhealthy Foodstuffs in Chinese Television Advertisements: Increasing the Risk of Obesity.

Chang Angela A Schulz Peter J PJ Schirato Tony T Hall Brian J BJ

International journal of environmental research and public health 20180104 1

Previous studies indicated that television (TV) advertising is associated with higher rates of obesity. The rate of obesity and overweight continues to rise in mainland China, bringing into question whether TV advertising to young audiences might be partly to blame. This study investigated messaging delivered through TV advertisements regarding healthy and unhealthy foodstuffs. A total of 42 major food brands and 480 advertisements were analysed for content in this study. The results showed that ...[more]

PMID: 29300366

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Project description:IntroductionSince the advent of e-cigarettes, e-cigarette advertising has escalated and companies are able to use marketing strategies that are not permissible for tobacco products. Research into the effect of e-cigarette advertising on attitudes towards tobacco and e-cigarettes is in its infancy. To date, no research has compared indirect (implicit) measures of attitude towards e-cigarettes with direct (explicit) measures. Furthermore, little consideration has been given to how viewing online advertisements may have an effect on attitudes towards e-cigarettes or how positive attitudes to e-cigarettes may undermine antismoking public health messages. The objectives of this study are to investigate (1) the relationship between explicit and implicit attitudes towards tobacco and e-cigarettes, (2) the effect of e-cigarette advertising on these attitudes and (3) the effect of these attitudes on the efficacy of antismoking health messages.Methods and analysisIn experiment 1 an analysis of covariance will be conducted to determine whether viewing an e-cigarette advertisement, compared with a neutral image, has an effect on implicit or explicit attitudes towards tobacco and e-cigarettes, and if these attitudes differ between smokers, vapers and non-smokers aged 18 - 25 years. In experiment 2, moderation analysis will be conducted to assess whether attitudes towards e-cigarettes moderate the psychological efficacy of antismoking health messages in participants aged 18-65 years. In each experiment, attitudes will be measured preintervention and postintervention and 1 week later (n=150) in participants who are smokers (n=50), vapers (n=50) or non-smokers (n=50).Ethics and disseminationApproval for this study has been given by the London South Bank University's (LSBU) Research Ethics Committee. The findings of these studies will be submitted for publication and disseminated via conferences. The results will be integrated into course provision for practitioners training at LSBU.

Project description:ObjectivesTo analyze sex differences in the prevalence of obesity phenotypes and their risk factors among children and adolescents aged 7-18 years in China.MethodsWe enrolled 15,114 children and adolescents aged 7-18 years into the final analysis. Obesity phenotypes were classified by body mass index (BMI) and metabolic status as metabolically healthy or unhealthy obesity. In addition, we collected four possible influencing factors on obesity phenotypes through questionnaires, including demographic, parental, early life, and lifestyle indicators. Multinomial logistic regression analysis in a generalized linear mixed model (GLMM) was selected to estimate the odds ratio (OR) and 95% confidence interval (95% CI) for identifying risk factors and control the cluster effects of schools. More importantly, the interaction terms of sex and each indicator were established to demonstrate the sex differences.ResultsThe prevalence of metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), metabolically healthy overweight and obesity (MHOO), and metabolically unhealthy overweight and obesity (MUOO) were 3.5%, 5.6%, 11.1%, and 13.0% respectively, with higher prevalence in boys (5.3% vs. 1.6%, 7.9% vs. 3.1%, 14.3% vs. 7.7%, 15.6% vs. 10.1%). In addition, younger ages, single children, parental smoking, parental history of diseases (overweight, hypertension, diabetes), caesarean, premature, and delayed delivery time, high birth weight, insufficient sleep time, and excessive screen time were considered as important risk factors of MHO and MUO among children and adolescents (p < 0.05). More notably, boys were at higher risks of MUO when they were single children (boys: OR = 1.56, 95% CI: 1.24-1.96; girls: OR = 1.12, 95% CI: 0.82-1.54), while girls were more sensitive to MUO with parental smoking (girls: OR = 1.34, 95% CI: 1.02-1.76; boys: OR = 1.16, 95% CI: 0.97-1.39), premature delivery (girls: OR = 3.11, 95% CI: 1.59-6.07; boys: OR = 1.22, 95% CI: 0.67-2.22), high birth weight (girls: OR = 2.45, 95% CI: 1.63-3.69; boys: OR = 1.28, 95% CI: 0.96-1.70), and excessive screen time (girls: OR = 1.47, 95% CI: 1.06-2.04; boys: OR = 0.97, 95% CI: 0.79-1.20), with significant interaction term for sex difference (pinteraction < 0.05).ConclusionsMHO and MUO are becoming prevalent among Chinese children and adolescents. Significant sex differences in the prevalence of obesity phenotypes as well as their environmental and genetic risk factors suggest it might be necessary to manage obesity phenotypes problems from a sex perspective.

Project description:Background. Previous research found that adding a single piece of quantitative information about prescription drug benefits to direct-to-consumer (DTC) ads helps consumers understand how well the drug works. However, drug information often includes quantitative information on multiple benefit outcomes and risks. Thus, we examined whether consumer understanding was similarly improved when DTC television ads include varying amounts of quantitative information. Methods. We randomly assigned participants (945 Internet panelists ≥ 60 years old) to view 1 of 9 fictitious prescription drug television ads that varied the presentation of quantitative information for benefits (none, single outcome, 2 outcomes) and risks (none, 1 risk category, 3 risk categories) and then measured gist and verbatim recall/estimation and drug perceptions. Results. Adding a single benefit outcome and a single risk category replicated past results. Compared with an ad containing no quantitative information, presenting 2 benefit outcomes and multiple risk categories increased gist and verbatim recall and affected drug perceptions. Compared with presenting a single benefit outcome, presenting 2 benefit outcomes increased verbatim recall for the second outcome but decreased verbatim recall for the first outcome. Likewise, compared with presenting a single risk category, presenting multiple risk categories increased gist and verbatim recall for the multiple risk categories but decreased gist recall for a concept more closely associated with the single risk category. Adding multiple risk categories decreased risk perceptions even more than did the single risk category. Limitations. This study may have limited generalizability because it examined an ad for only 1 medical condition. Conclusions. There are tradeoffs to adding multiple quantitative benefit outcomes in DTC ads. However, presenting multiple quantitative risk categories helps consumers better understand a drug's risks.

Dataset Information

Implicit Messages Regarding Unhealthy Foodstuffs in Chinese Television Advertisements: Increasing the Risk of Obesity.

Publications

Implicit Messages Regarding Unhealthy Foodstuffs in Chinese Television Advertisements: Increasing the Risk of Obesity.

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