
pmid: 21497145
The purpose of this paper is to estimate consumers' willingness to pay (WTP) and investigate factors that affect participation in therapy to reduce weight or prevent obesity. As for the decision to participate in obesity prevention therapy, the results show that the price charged for therapy is the key factor. Furthermore, the gender, education, income, the concern that work achievement is affected by obesity, and health condition variables are found to be important and significant determinants of the decision to participate in the therapy. The average willingness to pay for obesity reduction therapy which could reduce weight by 5 kg in 3 months is estimated to be NT$12,531 (US$362) among the sample respondents. The results of the profile analysis suggest that obese females with high education, high income, who think that obesity affects work achievement, and who have tried to control their weight are the most likely to be willing to pay the greatest amount for the weight-reduction therapy.
Adult, Male, Financing, Personal, Models, Statistical, Taiwan, Middle Aged, Overweight, Surveys and Questionnaires, Humans, Female, Obesity
Adult, Male, Financing, Personal, Models, Statistical, Taiwan, Middle Aged, Overweight, Surveys and Questionnaires, Humans, Female, Obesity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
