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Your MST Score: A Simple Guide

What is the MST Score?

The MST Score is Clubwell's easy, convenient and reliable measure for metabolic health. Developed by leading doctors in the field, it encompasses five metabolic markers that are internationally recognised as the standard for assessing metabolic health. It does this by looking at results from just a few simple, yet important, measurements from your body and finger-prick blood tests to give you one easy-to-understand number between 0 and 100.

Higher Scores = Better Metabolic Health

The Five Measurements Needed

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Person wearing a green shirt with a measuring tape around their waist on a green background

Waist Measurements

Finger pricking for blood glucose/lipids against a green background

Blood Fats (Triglycerides)

Finger pricking for blood glucose/lipids against a green background

HDL Cholesterol

Finger pricking for blood glucose/lipids against a green background

Blood Sugar

Blood pressure cuff on green background

Blood Pressure

Understanding Your Score

When the measurements have been collected and uploaded into the Clubwell app, the MST Score is calculated. The score you receive should be interpreted as a range of plus or minus 10. This allows for variables such as time of day, how relaxed you were when taking your blood pressure or if you were bloated while doing your waist to height measurement. So, for example, if your score was 75, then your range is 65 to 85. Taking these measurements under similar conditions each time will lead to more consistent and accurate results.

What Your Score Means

This score is a snapshot of your metabolic health right now.
It combines multiple important health markers into one number, making it easier to:

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Smartphone displaying MST Score with a blurred person in the background

1. Track your progress over time

Person using smartphone with MST Score 15 displayed

2. Understand your risk for conditions like diabetes and heart disease

Man running outdoors with a graph result graphic overlay

3. See how lifestyle changes affect your health

Digital display showing an MST Score of 95 with a blurred background

4. Have focused discussions with your healthcare provider

Remember:

This score is a tool to help guide your health journey, but it should always be interpreted alongside your complete medical history and other health factors by your healthcare provider. Never use your MST score or other at-home readings assisted by Clubwell for diagnosis and always consult your doctor for medical decisions, such as medication.

Detailed Scoring Breakdown

Chart detailing waist circumference and waist-to-height ratio criteria with score impacts for men and women.
Table with health measurement criteria and score impact for fasting triglycerides and HDL cholesterol levels.
Table showing fasting glucose levels and their impact on diabetes medication use.
Table showing blood pressure categories and their score impacts

Special Notes

Your fasting glucose score may be calculated differently using your HbA1c level (a 3-month average of blood sugar) instead of a single fasting glucose reading.

Blood pressure medications may adjust your blood pressure score. Diabetes medications may adjust your glucose score.

References

Alberti et al. Harmonizing the Metabolic Syndrome. Circulation 120(16):1640-5

Jayedi A, Soltani S, Zargar MS, Khan TA, Shab-Bidar S. Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies. BMJ 2020;370:m3324.

  • Indices of central fatness including waist circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, independent of overall adiposity, were positively and significantly associated with a higher all-cause mortality risk.

Brown KF, Rumgay H, Dunlop C, Ryan M, Quartly F, Cox A, et al. The fraction of cancer attributable to modifiable risk factors in England, Wales, Scotland, Northern Ireland, and the United Kingdom in 2015. British Journal of Cancer. 2018;118(8):1130-41.

  • Population attributable fractions (PAFs) were calculated for combinations of risk factor and cancer type with sufficient/convincing evidence of a causal association. Overweight/obesity has the second highest PAF after smoking because it affects a high proportion of the UK population and is also linked with many cancer types.

Ashwell M, Gibson S. Waist-to-height ratio as an indicator of 'early health risk': simpler and more predictive than using a 'matrix' based on BMI and waist circumference. BMJ Open 2016;6(3):e010159

da Luz PL, Favarato D, Faria-Neto JR, Jr., Lemos P, Chagas ACP. High ratio of triglycerides to HDL-cholesterol predicts extensive coronary disease. Clinics (Sao Paulo). 2008;63(4):427-32.

  • Elevation in the ratio of TG to HDL-c was the single most powerful predictor of extensive coronary heart disease among all the lipid variables examined

Miller et al., Triglycerides and Cardiovascular Disease: A Scientific Statement from the American Heart Association. Circulation 2011:123:2292-2333

Alberti et al. Harmonizing the Metabolic Syndrome. Circulation 120(16):1640-5

Alberti et al. Harmonizing the Metabolic Syndrome. Circulation 120(16):1640-5

Kaze AD, Santhanam P, Musani SK, Ahima R, Echouffo-Tcheugui JB. Metabolic Dyslipidemia and Cardiovascular Outcomes in Type 2 Diabetes Mellitus: Findings from the Look AHEAD Study. Journal of the American Heart Association. 2021;10(7):e016947.

  • In a large sample of overweight/obese adults with T2DM, we observed that low HDL-C and metabolic dyslipidemia were each associated with higher risks of atherosclerotic CVD events.

Boizel et al., Ratio of triglycerides to HDL cholesterol is an indicator of LDL particle size in patients with type 2 diabetes and normal HDL cholesterol levels., DiabetesCare 2000 Nov; 23(11): 1679-1685

Kaze AD, Santhanam P, Musani SK, Ahima R, Echouffo-Tcheugui JB. Metabolic Dyslipidemia and Cardiovascular Outcomes in Type 2 Diabetes Mellitus: Findings from the Look AHEAD Study. Journal of the American Heart Association. 2021;10(7):e016947.

  • In a large sample of overweight/obese adults with T2DM, we observed that low HDL-C and metabolic dyslipidemia were each associated with higher risks of atherosclerotic CVD events.

Williams B et al., 2018 ESC/ESH Guidelines for the management of arterial hypertension, European Heart Journal, Volume 39, Issue 33, 01 September 2018, Pages 3021–3104

Collaborators GBDRF, Forouzanfar MH, Alexander L, Anderson HR, Bachman VF, Biryukov S, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(10010):2287-323.

  • In terms of global attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) in 2013, six risks or clusters of risks each caused more than 5% dietary risks accounting for 11.3 million deaths and 241.4 million DALYs, and high systolic blood pressure for 10.4 million deaths and 208.1 million DALYs.

Kaze AD, Santhanam P, Musani SK, Ahima R, Echouffo-Tcheugui JB. Metabolic Dyslipidemia and Cardiovascular Outcomes in Type 2 Diabetes Mellitus: Findings from the Look AHEAD Study. Journal of the American Heart Association. 2021;10(7):e016947.

  • In a large sample of overweight/obese adults with T2DM, we observed that low HDL-C and metabolic dyslipidemia were each associated with higher risks of atherosclerotic CVD events.

Alberti et al. Harmonizing the Metabolic Syndrome. Circulation 120(16):1640-5

Nathan DM, Davidson MB, DeFronzo RA, Heine RJ, Henry RR, Pratley R, et al. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabetes Care. 2007;30(3):753-9.

Dugani SB, Moorthy MV, Li C, Demler OV, Alsheikh-Ali AA, Ridker PM, et al. Association of Lipid, Inflammatory, and Metabolic Biomarkers With Age at Onset for Incident Coronary Heart Disease in Women. JAMA Cardiology. 2021.

  • In this cohort study, diabetes and insulin resistance, in addition to hypertension, obesity, and smoking, appeared to be the strongest risk factors for premature onset of CHD

Zhang AMY, Wellberg EA, Kopp JL, Johnson JD. Hyperinsulinemia in Obesity, Inflammation, and Cancer. Diabetes Metab J. 2021.

  • Recent evidence demonstrates that hyperinsulinemia may play a role in inflammation, aging and development of
    cancers