Use of signal detection methodology to identify subgroups of dietary supplement use in diverse populations

Rachel E. Davis, Ken Resnicow, Audie A. Atienza, Karen E. Peterson, Andrea Domas, Anne Hunt, Thomas G. Hurley, Amy L. Yaroch, Geoffrey W. Greene, Tamara Goldman Sher, Geoffrey C. Williams, James R. Hebert, Linda Nebeling, Frances E. Thompson, Deborah J. Toobert, Diane Elliot, Carol DeFrancesco, Rebecca B. Costello

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Despite widespread use of dietary supplements, little is known about correlates and determinants of their use. Using a diverse sample from 7 interventions participating in the Behavior Change Consortium (n = 2539), signal detection methodology (SDM) demonstrated a method for identifying subgroups with varying supplement use. An SDM model was explored with an exploratory half of the entire sample (n = 1268) and used 5 variables to predict dietary supplement use: cigarette smoking, fruit and vegetable intake, dietary fat consumption, BMI, and stage of change for physical activity. A comparison of rates of supplement use between the exploratory model groups and comparably identified groups in the reserved, confirmatory sample (n = 1271) indicates that these analyses may be generalizable. Significant indicators of any supplement use included smoking status, percentage of energy from fat, and fruit and vegetable consumption. Although higher supplement use was associated with healthy behaviors overall, many of the identified groups exhibited mixed combinations of healthy and unhealthy behaviors. The results of this study suggest that patterns of dietary supplement use are complex and support the use of SDM to identify possible population characteristics for targeted and tailored health communication interventions.

Original languageEnglish (US)
JournalJournal of Nutrition
Volume138
Issue number1
StatePublished - Jan 2008

Fingerprint

Dietary Supplements
dietary supplements
Vegetables
Fruit
vegetable consumption
fruit consumption
Smoking
Population
Health Communication
Dietary Fats
Population Characteristics
smoking (habit)
population characteristics
smoking (food products)
behavior change
fat intake
methodology
Fats
sampling
dietary fat

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Food Science
  • Medicine(all)

Cite this

Davis, R. E., Resnicow, K., Atienza, A. A., Peterson, K. E., Domas, A., Hunt, A., ... Costello, R. B. (2008). Use of signal detection methodology to identify subgroups of dietary supplement use in diverse populations. Journal of Nutrition, 138(1).

Use of signal detection methodology to identify subgroups of dietary supplement use in diverse populations. / Davis, Rachel E.; Resnicow, Ken; Atienza, Audie A.; Peterson, Karen E.; Domas, Andrea; Hunt, Anne; Hurley, Thomas G.; Yaroch, Amy L.; Greene, Geoffrey W.; Sher, Tamara Goldman; Williams, Geoffrey C.; Hebert, James R.; Nebeling, Linda; Thompson, Frances E.; Toobert, Deborah J.; Elliot, Diane; DeFrancesco, Carol; Costello, Rebecca B.

In: Journal of Nutrition, Vol. 138, No. 1, 01.2008.

Research output: Contribution to journalArticle

Davis, RE, Resnicow, K, Atienza, AA, Peterson, KE, Domas, A, Hunt, A, Hurley, TG, Yaroch, AL, Greene, GW, Sher, TG, Williams, GC, Hebert, JR, Nebeling, L, Thompson, FE, Toobert, DJ, Elliot, D, DeFrancesco, C & Costello, RB 2008, 'Use of signal detection methodology to identify subgroups of dietary supplement use in diverse populations', Journal of Nutrition, vol. 138, no. 1.
Davis RE, Resnicow K, Atienza AA, Peterson KE, Domas A, Hunt A et al. Use of signal detection methodology to identify subgroups of dietary supplement use in diverse populations. Journal of Nutrition. 2008 Jan;138(1).
Davis, Rachel E. ; Resnicow, Ken ; Atienza, Audie A. ; Peterson, Karen E. ; Domas, Andrea ; Hunt, Anne ; Hurley, Thomas G. ; Yaroch, Amy L. ; Greene, Geoffrey W. ; Sher, Tamara Goldman ; Williams, Geoffrey C. ; Hebert, James R. ; Nebeling, Linda ; Thompson, Frances E. ; Toobert, Deborah J. ; Elliot, Diane ; DeFrancesco, Carol ; Costello, Rebecca B. / Use of signal detection methodology to identify subgroups of dietary supplement use in diverse populations. In: Journal of Nutrition. 2008 ; Vol. 138, No. 1.
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