| Literature DB >> 24884645 |
Rebecca M Puhl1, Dianne Neumark-Sztainer, S Bryn Austin, Joerg Luedicke, Kelly M King.
Abstract
BACKGROUND: The prevalence and health consequences of eating disorders and weight stigmatization have prompted increasing discussion of potential policy actions to address these public health issues. The present study aimed to assess support for policy strategies to address eating disorders and weight stigmatization among the general public and relevant health professionals.Entities:
Mesh:
Year: 2014 PMID: 24884645 PMCID: PMC4046055 DOI: 10.1186/1471-2458-14-524
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Sample characteristics from the general public and eating disorders field (N = 2338)
| | | |
| Female gender | 483 | 51.7 |
| Age (in years) | 934 | 43.3 |
| | | |
| White | 648 | 69.4 |
| African-American | 108 | 11.6 |
| Hispanic | 96 | 10.3 |
| Other | 82 | 8.8 |
| | | |
| High school or less | 231 | 24.7 |
| Some college | 340 | 36.4 |
| College or higher | 363 | 38.9 |
| | | |
| Under $25,000 | 239 | 25.6 |
| $25,000-$49,999 | 267 | 28.6 |
| $50,000-$74,999 | 188 | 20.1 |
| $75,000-$99,999 | 110 | 11.8 |
| $100,000 or more | 130 | 13.9 |
| 260 | 27.8 | |
| Conservative | | |
| Moderate | 438 | 46.9 |
| Liberal | 236 | 25.3 |
| | | |
| Personal history of ED | 124 | 13.3 |
| History of ED in family | 153 | 16.4 |
| 31 | 3.5 | |
| Underweight | | |
| Normal weight | 309 | 35.2 |
| Overweight | 268 | 30.5 |
| Obese | 270 | 30.8 |
| Body mass index (kg/m2) | 878 | 28.2 |
| | | |
| Female gender | 1338 | 95.3 |
| Age (in years) | 1404 | 36.8 |
| 1282 | 91.3 | |
| White | | |
| African-American | 13 | 0.93 |
| Hispanic | 49 | 3.49 |
| Other | 60 | 4.27 |
| 925 | 65.9 | |
| Personal history of ED | | |
| History of ED in family | 675 | 48.1 |
Note. ED = eating disorder. Age ranged from 18 to 90 years in the general public sample (SD = 16.5), BMI ranged from 12 to 68 kg/m2 (SD = 7.6); among eating disorder experts, age ranged from 18 to 87 years (SD = 4.2).
*Weight status and BMI were categorized using the clinical guidelines for the classification of overweight and obesity in adults by the National Heart, Lung and Blood Institute of the National Institutes of Health, which defines "normal weight" as a BMI (in kg/m2) of 18.5–24.9; "overweight" as a BMI of 25.0–29.9; "obese" as a BMI > =30.
Support for policy actions among participants from the general public and the eating disorders field
| | | ||
|---|---|---|---|
| | | | |
| 1 | Schools should conduct screening for eating disorders. | 76.7 | 52.5 |
| 2 | Schools should have anti-bullying policies that protect students from being bullied about their weight. | 96.1 | 83.4 |
| 3 | School-based health curriculum should include content aimed at preventing eating disorders. | 95.3 | 77.3 |
| 4 | Schools should measure students’ height/weight for the purpose of reporting to families their child's weight status. | 22.1 | 44.2 |
| 5 | Schools should measure students’ height and weight to monitor population changes over time. | 21.6 | 29.7 |
| 6 | School sports coaches should receive training about the prevention and early identification of eating disorders. | 98.5 | 70.8 |
| | | | |
| 7 | Existing civil rights laws should include body weight to protect people from weight discrimination. | 74.3 | 50.7 |
| 8 | It should be illegal for an employer to refuse to hire a qualified person because of his/her body weight. | 84.9 | 69.2 |
| 9 | The government should have laws in place to protect people from weight discrimination in the workplace. | 88.8 | 70.6 |
| 10 | Existing anti-bullying laws should be modified to include protections for youth who are bullied about their weight. | 94.6 | 76.8 |
| 11 | Campaigns or interventions that address obesity should avoid content that stigmatizes overweight people. | 89.4 | 61.5 |
| | | | |
| 12 | Insurance companies should be required to reimburse for eating disorder treatment. | 98.6 | 51.5 |
| 13 | Insurance companies should be required to reimburse for obesity treatment. | 84.5 | 52.4 |
| 14 | Restrictions should be placed on elective, cosmetic surgery for minors, except when medically recommended. | 84.7 | 70.5 |
| 15 | Healthcare providers should be trained on the prevention and early identification of eating disorders. | 99.6 | 79.8 |
| 16 | Dentists should be trained to screen for signs and symptoms of eating disorders. | 95.6 | 64.6 |
| 17 | Health care providers should receive sensitivity training to prevent weight stigma in their clinical practice. | 97.8 | 67 |
| | | | |
| 18 | Weight loss claims about diet products and weight loss programs should be regulated by the government. | 81.7 | 58 |
| 19 | Selling over-the-counter diet pills and laxatives to minors should be restricted by the government. | 85.6 | 64.9 |
| 20 | Selling muscle enhancers to minors (e.g., creatine, protein powders) should be restricted by the government. | 75.8 | 63.9 |
| | | | |
| 21 | Magazines targeting readers under 18 years of age should be prohibited from advertising weight loss products. | 89.8 | 51.9 |
| 22 | The media should be required to include disclaimers for photographs of models that have been digitally altered. | 91.4 | 67.3 |
| 23 | The use of very underweight fashion models should be restricted by the government. | 71.1 | 42.7 |
*Percentages indicate participants who "Somewhat Supported" or "Definitely Supported" each policy action.
Support for policy actions across five policy content areas among participants from the U.S
| | | | | | |
| Gender (ref. male) | . | . | . | . | . |
| Female | 0.121* | 0.308*** | 0.257*** | 0.218* | 0.472*** |
| Personal history of ED | . | . | . | . | . |
| Yes | 0.057 | 0.187 | 0.217* | 0.017 | 0.061 |
| History of ED in family | . | . | . | . | . |
| Yes | 0.114 | 0.082 | 0.033 | 0.053 | 0.143 |
| Race/Ethnicity (ref. White) | . | . | . | . | . |
| African-American | 0.256** | 0.275* | -0.002 | 0.206 | -0.031 |
| Hispanic | -0.084 | -0.078 | -0.198* | -0.052 | -0.120 |
| Other | 0.011 | -0.009 | -0.160 | -0.006 | -0.029 |
| Highest educational degree (ref. High school or less) | . | . | . | . | . |
| Some college | -0.002 | -0.089 | 0.190* | 0.115 | -0.034 |
| College or higher | 0.106 | -0.083 | 0.287*** | -0.010 | -0.021 |
| Current household income (ref. <$25,000) | . | . | . | . | . |
| $25,000-$49,999 | 0.134 | 0.145 | 0.065 | 0.193 | 0.225* |
| $50,000-$74,999 | 0.006 | 0.014 | -0.018 | 0.379** | 0.045 |
| $75,000-$99,999 | 0.080 | 0.166 | 0.135 | 0.130 | 0.107 |
| 100,000 or more | 0.118 | 0.078 | 0.060 | 0.273 | 0.085 |
| Political orientation (ref. conservative) | . | . | . | . | . |
| Moderate | 0.141* | 0.248** | 0.067 | 0.312** | 0.216* |
| Liberal | 0.204* | 0.440*** | 0.272*** | 0.313** | 0.275** |
| Age (in years) | 0.000 | -0.002 | 0.001 | 0.007** | -0.001 |
| BMI (kg/m2) | 0.004 | 0.030*** | 0.013** | 0.016** | 0.015** |
| Constant | 3.587*** | 2.733*** | 3.057*** | 2.548*** | 2.723*** |
| σ | 0.881*** | 1.067*** | 0.865*** | 1.232*** | 1.106*** |
| N | 934 | 934 | 934 | 934 | 934 |
| | | | | | |
| Gender (ref. male) | . | . | . | . | . |
| Female | 0.184* | 0.216 | 0.119* | 0.399* | 0.701*** |
| Personal history of ED | . | . | . | . | . |
| Yes | 0.028 | 0.166** | 0.005 | -0.075 | -0.011 |
| History of ED in family | . | . | . | . | . |
| Yes | 0.136*** | -0.022 | 0.041 | 0.028 | 0.151* |
| Age (in years) | 0.000 | -0.001 | 0.006*** | 0.012*** | -0.003 |
| Race (ref. other) | . | . | . | . | . |
| White | 0.039 | -0.070 | -0.078 | -0.107 | -0.010 |
| Constant | 4.449*** | 4.484*** | 4.537*** | 3.883*** | 4.146*** |
| σ | 0.604*** | 0.913*** | 0.423*** | 1.233*** | 1.096*** |
| N | 1404 | 1404 | 1404 | 1404 | 1404 |
Note. Shown are raw coefficients from tobit models; outcome variables are censored from above; ref. = reference category. For the sample of participants from the eating disorders field, race/ethnicity was dichotomized into Whites vs. "other" due to low prevalence of non-Whites. Significance levels: *p < 0.05, **p < 0.01, ***p < 0.001.
Figure 1Perceptions of potential impact and feasibility of policy actions among participants from the U.S. General Public and the Eating Disorders Field (Corresponding content for survey item numbers is presented in Table 2).