| Literature DB >> 30345413 |
Frances Fleming-Milici1, Jennifer L Harris1, Sai Liu2.
Abstract
Purpose: Examine parents' support for policies to reduce unhealthy food and beverage marketing to children and adolescents and identify racial, ethnic, and other sociodemographic characteristics that predict support.Entities:
Keywords: food advertising; food marketing; health disparities; obesity; public health; racial minority
Year: 2018 PMID: 30345413 PMCID: PMC6195095 DOI: 10.1089/heq.2018.0048
Source DB: PubMed Journal: Health Equity ISSN: 2473-1242
Items Measuring Parents' Support for Policies to Reduce Unhealthy Food Marketing and Perceived Negative Impact of Food Marketing
| Items | 95% CI | |
|---|---|---|
| Support for policies to reduce unhealthy food marketing[ | ||
| Require children's TV programs to show children being physically active and eating healthy food | 7.31 | 7.22–7.41 |
| Require children's media companies to fund public service announcements for fruits and vegetables on TV | 7.06 | 6.97–7.76 |
| Require children's media companies to fund an equal amount of advertising for healthy and unhealthy foods | 6.92 | 6.82–7.01 |
| Allow only healthy food advertising on TV programs targeted to children younger than 12 years | 6.75 | 6.65–6.85 |
| Do not allow any advertising on TV programs targeted to children younger than 8 years | 6.21 | 6.11–6.32 |
| Allow only healthy food advertising on TV programs targeted to youth younger than 18 years | 6.44 | 6.34–6.54 |
| Allow cartoon characters only on packages for healthy foods | 6.35 | 6.25–6.45 |
| Allow only healthy foods and beverages in school vending machines | 7.31 | 7.22–7.41 |
| Do not allow games or other child-oriented features on unhealthy food websites | 6.21 | 6.11–6.31 |
| Scale average | 6.73 | 6.65–6.81 |
| Perceived negative impact of food marketing[ | ||
| Encourages children to ask parents for the advertised foods and beverages | 7.70 | 7.62–7.78 |
| Affects everyone, not just children | 7.72 | 7.63–7.80 |
| Increases preferences for the types of foods advertised | 7.19 | 7.11–7.28 |
| Promotes unhealthy foods | 6.93 | 6.84–7.02 |
| Encourages snacking between meals | 6.88 | 6.79–6.97 |
| Encourages unhealthy snacking | 6.89 | 6.80–6.98 |
| Leads to food cravings | 6.93 | 6.84–7.02 |
| Creates eating habits that stick with you for life | 6.87 | 6.78–6.96 |
| Affects children the most | 6.86 | 6.77–6.95 |
| Makes parents' jobs harder | 6.52 | 6.42–6.61 |
| Causes children to eat more | 6.41 | 6.31–6.50 |
| Encourages large portions | 6.25 | 6.15–6.35 |
| Affects the products you choose to buy for your children | 6.20 | 6.11–6.30 |
| Scale average | 6.87 | 6.80–6.94 |
Response to the following question: “Below is a list of actions that are either currently being taken or could be taken to promote healthy eating habits and physical activity to your children. Using the scale below, please indicate how much you would support each of the following actions” with response options ranging from 1 (definitely would oppose) to 10 (definitely would support) Cronbach's α=0.94.
Response to the following question: “Using the scale below, please indicate how much you agree with the following statements about food and beverage marketing and advertising to your children” with response options ranging from 1 (strongly disagree) to 10 (strongly agree) Cronbach's α=0.95.
CI, confidence interval; M, mean.
Sample Characteristics and Differences in Scale Responses Between Sociodemographic Groups
| Sample size | Percentage | Support for policies to reduce food marketing | Perceived negative impact of food marketing | |||
|---|---|---|---|---|---|---|
| (%) | M (1–10) | 95% CI | M (1–10) | 95% CI | ||
| 3,356 | 100% | 6.73 | (6.65–6.81) | 6.87 | (6.80–6.94) | |
| Female | 2,281 | 68% | 6.90a | (6.81–7.00) | 6.91 | (6.83–7.00) |
| Male | 1,075 | 32% | 6.36b | (6.21–6.52) | 6.79 | (6.67–6.92) |
| White non-Hispanic | 1,711 | 51% | 6.33a | (6.21–6.45) | 6.69a | (6.58–6.79) |
| Black | 687 | 20% | 7.10b | (6.95–7.26) | 7.03b | (6.88–7.17) |
| Hispanic | 810 | 24% | 7.19b | (7.05–7.34) | 7.10b | (6.96–7.24) |
| Mixed/others[ | 148 | 4% | 7.06 | (6.71–7.42) | 7.11 | (6.80–7.42) |
| $15,000–$40,000 | 1,312 | 39% | 6.84a | (6.71–6.96) | 6.85 | (6.74–6.97) |
| $40,001–$75,000 | 1,222 | 36% | 6.74ab | (6.61–6.88) | 6.94 | (6.83–7.06) |
| More than $75,000 | 822 | 24% | 6.57b | (6.37–6.70) | 6.80 | (6.66–6.95) |
| Liberal | 655 | 20% | 6.93a | (6.76–7.11) | 7.22a | (7.07–7.36) |
| Moderate | 1,608 | 48% | 6.88a | (6.78–6.99) | 6.83b | (6.73–6.93) |
| Conservative | 1,093 | 33% | 6.38b | (6.22–6.54) | 6.74b | (6.60–6.87) |
| Yes | 1,370 | 45% | 6.84a | (6.72–6.96) | 7.00a | (6.89–7.11) |
| No | 1,687 | 55% | 6.59a | (6.47–6.71) | 6.75b | (6.65–6.85) |
| 2–5 years old | 631 | 19% | 6.89a | (6.72–7.07) | 6.90 | (6.74–7.06) |
| 6–11 years old | 1,001 | 30% | 6.85a | (6.71–6.99) | 6.90 | (6.77–7.02) |
| 12–17 years old | 1,724 | 51% | 6.60b | (6.49–6.72) | 6.85 | (6.75–6.95) |
| 2009 | 859 | 26% | 6.66 | (6.50–6.82) | 6.79 | (6.65–6.92) |
| 2010 | 797 | 24% | 6.64 | (6.47–6.80) | 6.83 | (6.68–6.98) |
| 2011 | 798 | 24% | 6.74 | (6.57–6.91) | 6.91 | (6.76–7.05) |
| 2012 | 902 | 27% | 6.87 | (6.72–7.02) | 6.96 | (6.83–7.10) |
Note: Within each row and category, only those means that do not share a common superscript differ significantly at p ≤ 05. Means that share a common superscript (or with no superscript) do not differ significantly from each other.
Excluded from race/ethnicity analysis.
Stepwise Generalized Linear Regression for Models to Predict Support for Policies to Reduce Food Marketing to Youth
| Variables | Full model | Final model[ | ||||
|---|---|---|---|---|---|---|
| Estimate (B) | Standard error (SE) | Standardized estimate (β) | Estimate (B) | Standard error (SE) | Standardized estimate (β) | |
| Constant | 1.00 | 0.15 | 5.57 | 0.10 | N/A | |
| Perceived negative impact of food marketing | 0.73 | 0.02 | 0.64[ | |||
| Year of survey | ||||||
| (2009 as reference) | ||||||
| 2010 | −0.04 | 0.09 | 0.00 | |||
| 2011 | 0.11 | 0.09 | 0.02 | |||
| 2012 | 0.12 | 0.09 | 0.02 | |||
| Age of oldest child | ||||||
| (12–17 years old as reference) | ||||||
| 6–11 years old | 0.13 | 0.07 | 0.03 | |||
| 2–5 years old | 0.18 | 0.09 | 0.03 | |||
| Household income | ||||||
| ($15,000–$40,000 as reference) | ||||||
| $40,001–$75,000 | −0.14 | 0.07 | −0.03 | |||
| >$75,000 | −0.13 | 0.08 | −0.02 | |||
| Parents' gender | ||||||
| (Male as reference) | ||||||
| Female | 0.2 | 0.03 | 0.08[ | 0.25 | 0.05 | 0.10[ |
| Race/ethnicity | ||||||
| (White non-Hispanic as reference) | ||||||
| Black | 0.91 | 0.16 | 0.15[ | 1.59 | 0.21 | 0.27[ |
| Hispanic | 0.94 | 0.14 | 0.17[ | 1.56 | 0.19 | 0.28[ |
| Political orientation | ||||||
| (Conservative as reference) | ||||||
| Moderate | 0.58 | 0.10 | 0.12[ | 0.92 | 0.13 | 0.19[ |
| Liberal | 0.49 | 0.13 | 0.06[ | 0.99 | 0.16 | 0.16[ |
| Child with overweight/obesity | ||||||
| (No as reference) | ||||||
| Yes | 0.00 | 0.06 | 0.00 | 0.16 | 0.09 | 0.03[ |
| Race/ethnicity by political orientation | 0.18 | 0.05 | 0.17[ | 0.25 | 0.06 | 0.24[ |
β, standardized beta; B, nonstandardized coefficient; SE, standardized coefficient.
p<0.001.
p<0.05.
Final model excludes perceived negative impact of food marketing and nonsignificant variables.

Interaction between race/ethnicity and political orientation in parents' support for policies to reduce food marketing to children and adolescents.