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. Author manuscript; available in PMC: 2022 Feb 1.
Published in final edited form as: J Acad Nutr Diet. 2020 Oct 24;121(2):253–260. doi: 10.1016/j.jand.2020.08.087

Table 5.

Effect of beverage intakes on expected DFSARa at age 17 years, adjusted for other beverage intakes, fluoride intake, toothbrushing frequency, sex, and SESb in Iowa Fluoride Study participants (AICc = 1399.1)

Variable of interest Estimated multiplicative effect of exposure (95% CId)e P value
Milkf 0.87 (0.69–1.11) .254
Juicefg 0.47 (0.27–0.83) .009
SSBfh 1.42 (1.05–1.92) .025
Water/SFBfi 0.71 (0.54–0.93) .014
Total fluoride, excluding SSB fluoridej 1.10 (1.01–1.20) .029
Toothbrushingk 0.57 (0.38–0.86) .008
Female indicator 1.55 (1.11–2.18) .011
Baseline SES—low 1 (reference)
Baseline SES—middle 0.82 (0.53–1.27) .366
Baseline SES—high 1.13 (0.73–1.76) .582
a

DFSAR = decayed and filled surfaces.

b

SES = socioeconomic status.

c

AIC = Akaike Information Criterion.

d

CI = confidence interval.

e

Estimated multiplicative effect of exposure of beverage on expected DFSAR from gender and socioeconomic adjusted generalized linear models based on the negative binomial distribution with a log link function.

f

Effect for each additional 8 oz beverage/d.

g

100% juice, including juice drinks before age 9 years.

h

SSB = sugar-sweetened beverages, including liquid juice drinks after 9 years.

i

Water/SFB = water and other sugar-free beverages.

j

Effect for each additional 0.1 mg fluoride/d.

k

Effect of each additional toothbrushing event/d.