Stress B-Complex
Nature Made Stress B-Complex is a multi-vitamin and mineral supplement providing a blend of B vitamins, including Thiamine, Riboflavin, Niacin, and Vitamin B12, along with Vitamin C and E. It is formulated to deliver essential nutrients. This product has an N+ Score of 82.
About This Product
Stress B-Complex by Nature Made is a collagen & beauty supplement containing 12 active ingredients. It has earned an N+ Score of 82/100 (Grade B).
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 Thiamine, Riboflavin, Niacin and 9 more.
N+ Score Breakdown
Are key ingredients present at clinically effective doses based on research?
Does the product include all expected ingredients for its supplement category?
Are individual ingredient amounts clearly disclosed without proprietary blends?
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
- +Broad ingredient diversity exceeding category norms
- +12 ingredient(s) at clinical dose levels
- +Rich formula with 12 active ingredients
Weaknesses
- −Missing several expected ingredients for its category
Ingredient Analysis (12 ingredients)
| Ingredient | Amount | Dose Adequacy |
|---|---|---|
| Thiamine | 10.000 mg | Optimal |
| Riboflavin | 10.000 mg | Optimal |
| Niacin | 100.000 mg | High |
| Vitamin B6 | 5.000 mg | Optimal |
| Folate | 667.000 mcg DFE | Optimal |
| Vitamin B12 | 12.000 mcg | Optimal |
| Biotin | 45.000 mcg | Optimal |
| Pantothenic Acid | 20.000 mg | Optimal |
| Vitamin C | 500.000 mg | Optimal |
| Vitamin E | 13.500 mg | Adequate |
| Zinc | 23.900 mg | Optimal |
| Copper | 3.000 mg | Optimal |
Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.