Calcium Citrate 1000
Kal

Calcium Citrate 1000

C
N+ Score70
Joint & BoneServing: 3 Tablet(s)Type: Mineral

Kal Calcium Citrate 1000 is a mineral supplement primarily focused on calcium support, providing 1000mg of Calcium per serving. This dosage is considered to be at a clinically relevant level for calcium supplementation. With an N+ Score of 70 and a grade of 'C', this product is rated as 'good' by Nutrienting.com, reflecting its strong ingredient adequacy for its single active component. The product features 1 total ingredient and demonstrates 100% label transparency, clearly stating its dosage. This supplement may be suitable for individuals seeking a straightforward calcium citrate source to support bone health.

About This Product

Calcium Citrate 1000 by Kal is a joint & bone supplement containing 1 active ingredients. It has earned an N+ Score of 70/100 (Grade C).

This product features a fully transparent label with individual ingredient amounts disclosed, and key ingredients are present at clinically effective doses based on peer-reviewed research.

Notable clinical-dose ingredients include Calcium.

N+ Score Breakdown

Ingredient Adequacy100/100

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

Formula Completeness25/100

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

Label Transparency100/100

Are individual ingredient amounts clearly disclosed without proprietary blends?

Ingredient Diversity44/100

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

Strengths

  • +Key ingredients at clinically effective doses
  • +Fully transparent label with individual ingredient amounts disclosed
  • +1 ingredient(s) at clinical dose levels

Weaknesses

  • Missing several expected ingredients for its category

Ingredient Analysis (1 ingredients)

IngredientAmountDose Adequacy
Calcium1000.000 mgOptimal

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