Question · asked by 1 review
Fluoride-containing dental care products (mainly fluoride toothpaste) vs Dietary fluoride sources (drinking water, beverages, food): Contribution of dental care products to total daily fluoride intake (TDFI), by tap-water fluoride level
- Population
- Adults using fluoride-containing dental care products (two included studies [28,47]; aged 20-35)
- Intervention
- Fluoride-containing dental care products (mainly fluoride toothpaste)
- Comparison
- Dietary fluoride sources (drinking water, beverages, food)
- Outcome
- Contribution of dental care products to total daily fluoride intake (TDFI), by tap-water fluoride level
In adults in poor-fluoridated tap water areas, dental care products contributed on average 12% of total fluoride exposure (ungraded; 1-2 studies).
What each review found
Include earlier review versionsNo studies found 0 · 0%GRADE not reported 3 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Fluoride-containing dental care products (mainly fluoride toothpaste) vs Dietary fluoride sources (drinking water, beverages, food) Contribution of dental care products to total daily fluoride intake (TDFI), by tap-water fluoride level · Adults using fluoride-containing dental care products (two included studies [28,47]; aged 20-35) · Habitual daily intake, Multiple countries (28 studies; ~43% conducted in Brazil); community/general-population settings, Poor-fluoridated tap water (<0.3 mg/L) In adults in poor-fluoridated tap water areas, dental care products contributed on average 12% of total fluoride exposure (ungraded; 1-2 studies). Fluoride Intake Through Dental Care Products: A Systematic Review. (2022) All outcomes | Mean contribution to TDFI (%) 12 | 1 study | GRADE not reported |
Fluoride-containing dental care products (mainly fluoride toothpaste) vs Dietary fluoride sources (drinking water, beverages, food) Contribution of dental care products to total daily fluoride intake (TDFI), by tap-water fluoride level · Adults using fluoride-containing dental care products (two included studies [28,47]; aged 20-35) · Habitual daily intake, Multiple countries (28 studies; ~43% conducted in Brazil); community/general-population settings, Medium-fluoridated tap water (0.52-0.77 mg/L) In adults in medium-fluoridated tap water areas, dental care products contributed on average 53% of total fluoride exposure (ungraded; 1-2 studies). Fluoride Intake Through Dental Care Products: A Systematic Review. (2022) All outcomes | Mean contribution to TDFI (%) 53 | 1 study | GRADE not reported |
Fluoride-containing dental care products (mainly fluoride toothpaste) vs Dietary fluoride sources (drinking water, beverages, food) Contribution of dental care products to total daily fluoride intake (TDFI), by tap-water fluoride level · Adults using fluoride-containing dental care products (two included studies [28,47]; aged 20-35) · Habitual daily intake, Multiple countries (28 studies; ~43% conducted in Brazil); community/general-population settings, Low-fluoridated tap water (0.3-0.51 mg/L) In adults in low-fluoridated tap water areas, dental care products contributed on average 95% of total fluoride exposure (ungraded; 1-2 studies). Fluoride Intake Through Dental Care Products: A Systematic Review. (2022) All outcomes | Mean contribution to TDFI (%) 95 | 1 study | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Fluoride Intake Through Dental Care Products: A Systematic Review. 2022 All outcomes | Not specified | 28 | Not applicable |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Fluoride-containing dental care products (mainly fluoride toothpaste) vs Dietary fluoride sources (drinking water, beverages, food) · Children using fluoride-containing dental care products (majority of included studies) · 1 review
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.