Influences on consumer spending for herbal products.
BACKGROUND
Despite the rapid growth in consumer spending on herbal products, we know little about factors that influence such spending.


OBJECTIVE
To use a model of adoption to investigate consumers' spending on herbal products.


METHODS
The study used a mail survey of a stratified random sample of 1,300 consumers. The population consisted of consumers aged 18 years and older residing in the United States. The sampling frame was a mailing list purchased from KM Lists. The independent variables were consumer characteristics, social systems, communication channels, and herbal characteristics. The amount of spending on herbs was the dependent measure, with responses divided into monthly spending of 10 dollars or less and more than 10 dollars . Binary logistic regression was performed to investigate the association between adoption model variables and spending on herbs.


RESULTS
Of the 1,300 mailed surveys, there were 77 undeliverable surveys and 456 usable returned surveys, yielding a usable response rate of 37.3%. A total of 181 (39.7%) respondents reported using herbal products. The logistic regression was performed using the 168 herbal users who reported that they spent money in the past month on herbal products. The overall regression model was significant (P<.05, Nagelkerke R(2)=0.499). The significant influences on spending on herbals were age, over-the-counter (OTC) drug use, and use of an herb professional as an information source about herbs. Older people reported spending more on herbal products than younger people. OTC drug use was positively related to spending on herbals and appears to complement herbal usage. Finally, consumers who obtain information about herbals from an herb professional tend to spend more on herbals.


CONCLUSIONS
An adoption model may be useful in explaining consumers' spending on herbal products.
Alkhateeb
Fadi M
FM
Division of Clinical and Administrative Pharmacy, University of Iowa, Iowa City, IA 52246, USA.
Doucette
William R
WR
Ganther-Urmie
Julie M
JM
D000328:Adult; D000367:Age Factors; D000368:Aged; D005260:Female; D017048:Health Care Costs; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D004366:Nonprescription Drugs / Q000191:economics / Q000627:therapeutic use; D008517:Phytotherapy / Q000191:economics
D004366:Nonprescription Drugs