Abbott

Digene Tablets Mint

F
N+ Score55
Collagen & BeautyServing: 2 Tablet(s)Type: Non-Nutrient/Non-Botanical

Abbott's Digene Tablets Mint is classified as a non-nutrient/non-botanical product, typically used for digestive support, though it is categorized under 'Collagen & Beauty' in this dataset. It features four active ingredients: 300 mg of dried Aluminium Hydroxide Gel, 50 mg of Magnesium Aluminium Silicate Hydrate, 25 mg of Magnesium Hydroxide, and 25 mg of Simethicone. The N+ Score for this product is 55, resulting in an 'F' grade, reflecting its limited scope within a nutritional context. No ingredients are noted at clinical doses for typical supplement purposes, and its formula completeness is rated at 0%, indicating it does not align with comprehensive nutritional support. The label transparency is 100%, providing clear ingredient information.

About This Product

Digene Tablets Mint by Abbott is a collagen & beauty supplement containing 4 active ingredients. It has earned an N+ Score of 55/100 (Grade F).

N+ Score Breakdown

Ingredient Adequacy50/100

Are key ingredients present at clinically effective doses based on research?

Formula Completeness0/100

Does the product include all expected ingredients for its supplement category?

Label Transparency100/100

Are individual ingredient amounts clearly disclosed without proprietary blends?

Ingredient Diversity86/100

Does the formula include a breadth of beneficial compounds from multiple pathways?

Strengths

  • +Fully transparent label with individual ingredient amounts disclosed
  • +Broad ingredient diversity exceeding category norms

Weaknesses

  • Missing several expected ingredients for its category

Ingredient Analysis (4 ingredients)

IngredientAmountDose Adequacy
dried Aluminium Hydroxide Gel I.P.300.000 mgN/A
Magnesium Aluminium Silicate Hydrate50.000 mgN/A
Magnesium Hydroxide I.P.25.000 mgN/A
Simethicone I.P.25.000 mgN/A

Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.