| Literature DB >> 18053129 |
Paula Gardiner1, Kathi J Kemper, Anna Legedza, Russell S Phillips.
Abstract
BACKGROUND: Little is known about the association between use of herbs and dietary supplements (HDS) and lifestyle/behavior factors in young adults in the US.Entities:
Mesh:
Substances:
Year: 2007 PMID: 18053129 PMCID: PMC2213683 DOI: 10.1186/1472-6882-7-39
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Demographics of Respondents Ages 18 to 30 years and the Percent of Characteristics by Individual Variables Among Those Who Use HDS
| Characteristics | Total Respondents 18–30 | HDS user* | P** |
| Age, yr | <.01 | ||
| 18–22 | 40 | 15 | |
| 23–30 | 60 | 19 | |
| Sex | .12 | ||
| Male | 49 | 16 | |
| Female | 51 | 18 | |
| Race/Ethnicity | <.01 | ||
| Non-Hispanic White | 64 | 19 | |
| Non-Hispanic Black | 14 | 13 | |
| Non-Hispanic Asian | 5 | 17 | |
| Non-Hispanic Other*** | 1 | 27 | |
| Hispanic | 16 | 12 | |
| Education Level | <.01 | ||
| < High School | 16 | 7 | |
| High School Grad | 24 | 15 | |
| Some College | 40 | 19 | |
| College Graduate | 19 | 25 | |
| Income, $ | <.01 | ||
| <15,000 | 26 | 18 | |
| 15,000–34,999 | 24 | 21 | |
| 35,000–64,999 | 10 | 23 | |
| ≥ 65,000 | 2 | 30 | |
| Did not reply | 38 | 12 | |
| Smoking Status | <.01 | ||
| Current | 26 | 21 | |
| Former | 9 | 24 | |
| Never | 63 | 15 | |
| Alcohol use in last 12 months | <.01 | ||
| None | 32 | 9 | |
| Infrequent/light | 44 | 21 | |
| Moderate/heavy | 21 | 24 | |
| Unknown drinking status | 3 | 5 | |
| Physical Activity | <.01 | ||
| Low | 34 | 9 | |
| Moderate | 22 | 19 | |
| High | 43 | 23 | |
| Unknown | 2 | 6 | |
| Prescription medication use | <.01 | ||
| Yes | 54 | 22 | |
| No | 46 | 13 | |
| Over the counter medication use | <.01 | ||
| Yes | 76 | 19 | |
| No | 24 | 12 |
* "DURING THE PAST 12 MONTHS, did you use herbs for your own health or treatment ?"
** Chi Square test comparing HDS users to non-HDS users (P < .05)
*** (Asian, American Indian/Alaskan native, Asian Indian, Chinese and Filipino)
****Data sources National health interview survey 2002, weighted percents extrapolated from the to the U.S. census (2000) for the adult civilian, non-institutionalized household population.
Prevalence of Specific HDS Supplement Use Among Young Adults who use Alcohol and Tobacco
| High Risk Lifestyle factors | Other Lifestyle factors | |||||
| Dietary Supplement | Smoker | P | Alcohol Moderate/heavy | P | High Physical activity | P |
| Echinacea | 40 | .18 | 49 | .02 | 47 | .002 |
| Ginseng | 42 | .03 | 44 | <.001 | 37 | <.001 |
| Gingko biloba | 29 | .02 | 29 | .01 | 25 | <.001 |
| Sedating herbs valerian, melatonin, chamomile, kava kava | 27 | .02 | 28 | <.001 | 21 | .13 |
| Garlic | 17 | .43 | 16 | .54 | 17 | .12 |
| Peppermint | 14 | .79 | 12 | .58 | 16 | <.001 |
| St. John's wort | 20 | <.001 | 17 | .48 | 15 | .03 |
| Ginger | 8 | .09 | 9 | .57 | 12 | .03 |
| Stimulant herbs ephedra, guarana | 11 | <.75 | 13 | <.001 | 12 | .005 |
Data sources National health interview survey 2002, weighted percents extrapolated from the to the U.S. census (2000) for the adult civilian, non-institutionalized household population.
Independent Effects of Smoking, Alcohol use, Physical Activity, and Medication use on HDS use in Young Adults; Multivariate Logistic Regression
| Lifestyle/behavioral variables | Adjusted Odds Ratios [95% confidence interval] ** |
| Smoking Status | |
| Never | 1.0 |
| Current | 1.41 [1.16–1.72] |
| Former | 1.50 [1.15–1.95] |
| Alcohol use in last 12 months | |
| None | 1.0 |
| Infrequent/light | 1.71 [1.38–2.13] |
| Moderate/heavy | 2.02 [1.53–2.65] |
| Physical Activity | |
| Low | 1.0 |
| Moderate | 1.88 [1.48–2.38] |
| High | 2.45 [1.98–3.03] |
| Prescription medications | |
| No | 1.0 |
| Yes | 1.51 [1.26–1.81] |
| Over the counter medications | |
| No | 1.0 |
| Yes | 1.13 [.91–1.40] |
*Logistic Model adjusted for age, sex, race, income, education
**Total sample size for analysis 6375, variables unknown drinking status (n= 225) and unknown physical activity (n= 97) were excluded from final analysis due to small sample size. A sensitivity analysis with the variables included showed no difference in outcomes.
***Data sources National health interview survey 2002, weighted percents extrapolated from the to the U.S. census (2000) for the adult civilian, non-institutionalized household population.