Evidence

Scientific references

The guidelines and peer-reviewed studies behind every reference range, score and questionnaire in Sam - resting heart rate, HRV, VO2 max, sleep and stress. Sam puts your own data in context. It does not diagnose, and it does not interpret clinical findings.

Reference ranges

Every range and threshold Sam displays, with the institution or peer-reviewed source that defines it. These are population norms used for orientation, not personal targets, and Sam does not judge your individual values against them.

VO₂ max (20–29 y adults)

Good fitness ≥50 ml·kg⁻¹·min⁻¹ (men) or ≥40 ml·kg⁻¹·min⁻¹ (women); lower values fall into average / below-average categories and are linked to higher cardiometabolic risk. Normative table compiled from American College of Sports Medicine data.

Source: American College of Sports Medicine (ACSM)

https://www.scienceforsport.com/vo2-max/

Daily steps

Sedentary <5,000 steps/day; Active ≥10,000 steps/day. Cut-points come from the Tudor-Locke step-defined activity index, widely used in epidemiological studies linking <5,000 steps with adverse metabolic profiles.

Source: Medicine & Science in Sports & Exercise

https://pubmed.ncbi.nlm.nih.gov/22208412/

Exercise time

At least 150 min/wk moderate-intensity or 75 min/wk vigorous-intensity aerobic activity, as prescribed by the WHO 2020 Global Physical Activity Guidelines, to reduce non-communicable disease risk.

Source: World Health Organization (WHO)

https://www.who.int/initiatives/behealthy/physical-activity

Flights climbed

Climbing >5 flights (≈50 steps) per day was associated with a ~20% lower risk of atherosclerotic cardiovascular disease in a 458,000-participant UK Biobank cohort.

Source: Atherosclerosis (2023) — Tulane Univ. / Harvard collaborators

https://doi.org/10.1016/j.atherosclerosis.2023.117300

Respiratory rate (resting)

12–20 breaths/min is normal; ≥22 breaths/min meets the SIRS/sepsis screening criterion for tachypnea.

Source: U.S. National Library of Medicine / NIH MedlinePlus

https://medlineplus.gov/ency/article/007198.htm

Why each metric is tracked

The peer-reviewed evidence linking each tracked metric to everyday health - why step count, heart rate variability or VO2 max are worth watching as a trend over months rather than as a single reading.

Step count

High step counts are associated with reduced all-cause mortality and chronic disease risk.

Source: JAMA Network Open, 2021

Distance walked / run

Increased walking and running distance is linked to improved metabolic health and reduced obesity risk.

Source: British Journal of Sports Medicine, 2019

Active energy burned

Caloric expenditure through activity correlates with lower risk of cardiovascular disease and diabetes.

Source: Circulation, 2016

Flights climbed

Climbing stairs has been shown to improve musculoskeletal and metabolic health.

Source: Journal of Physical Activity & Health, 2017

Walking speed

Faster walking speeds are associated with lower mortality and better functional mobility.

Source: JAMA, 2011

VO₂ max

Gold standard for assessing cardiovascular fitness. Higher VO₂ max correlates with lower cardiovascular disease risk and mortality.

Source: Circulation, 2016

Resting heart rate (RHR)

Lower RHR is a marker of better cardiovascular health and aerobic fitness.

Source: American Heart Association, 2020

Heart rate variability (HRV)

Higher HRV indicates better autonomic regulation and recovery, correlating with reduced cardiovascular risk.

Source: European Heart Journal, 2017

Blood oxygen (SpO₂)

Healthy SpO₂ levels are necessary for optimal aerobic function and cardiovascular efficiency.

Source: Respiratory Medicine, 2020

Exercise duration

Time spent in intentional physical activity is a key factor in improving cardiovascular health; regular, sustained activity increases stroke volume and oxygen uptake efficiency.

Source: Mayo Clinic Proceedings, 2018; Circulation, 2016

Exercise type & intensity

Activities like running and cycling improve cardiovascular fitness when performed at moderate to high intensity.

Source: Mayo Clinic Proceedings, 2018

Total sleep duration

Adults need 7–9 hours of sleep per night for optimal health. Insufficient sleep is linked to increased risk of cardiovascular disease, obesity, and diabetes.

Source: Sleep Medicine Reviews, 2010

Sleep efficiency

Ratio of time asleep to time spent in bed. Higher efficiency is associated with better recovery and reduced fatigue; inefficiency often correlates with insomnia or stress.

Source: Journal of Clinical Sleep Medicine, 2006

Time spent in deep sleep

Deep (slow-wave) sleep is essential for physical recovery, immune function, and memory consolidation.

Source: Nature Reviews Neuroscience, 2017

Sleep onset latency

Time it takes to fall asleep. Longer latency (>30 minutes) is associated with insomnia and increased stress.

Source: Journal of Psychiatric Research, 2015

Sleep regularity

Consistency of sleep and wake times. Irregular sleep patterns are linked to circadian rhythm disorders and increased cardiometabolic risk.

Source: PLOS Biology, 2017

Sleep interruptions

Frequency of awakenings during the night. Frequent interruptions disrupt sleep cycles, impairing recovery and increasing fatigue.

Source: Sleep, 2014

Body Mass Index (BMI)

BMI is correlated with obesity-related risks like diabetes, cardiovascular disease, and certain cancers.

Source: The Lancet, 2016

Body fat percentage

Elevated body fat is linked to increased risk of diabetes and hypertension. Lower percentages within healthy ranges correlate with better metabolic health.

Source: Obesity Reviews, 2010

Lean body mass

Higher lean (muscle) mass correlates with improved metabolic health and reduced risk of sarcopenia with age.

Source: Journal of Cachexia, Sarcopenia and Muscle, 2019

Sleep quality

The clinical sleep research and wearable-validation studies behind how Sam scores a night: where the thresholds for duration and sleep stages come from, and where measurement at the wrist has known limits.

  1. Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193–213.Defines clinically validated components of sleep quality (duration, latency, efficiency, disturbances) used as the structural base for the Sam sleep score.
  2. Ohayon, M. M., & Wickwire, E. M. (2019). Sleep efficiency and its clinical relevance: A review. Sleep Medicine Reviews, 44, 23–36.Establishes 85% efficiency as the cutoff between good and poor sleepers; supports our efficiency thresholds.
  3. Mander, B. A., Winer, J. R., & Walker, M. P. (2017). Sleep and human aging: Mechanisms and consequences. Neuron, 94(1), 19–36.Demonstrates the restorative role of deep (slow-wave) and REM sleep, validating inclusion of stage proportions.
  4. Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, 258.Identifies RMSSD as the preferred short-term HRV index and links low HRV with reduced parasympathetic recovery.
  5. Stanley, D. M., et al. (2013). Heart rate variability and perceived sleep quality: A multi-night field study. Psychophysiology, 50(11), 1034–1039.Empirically connects higher nocturnal HRV with better subjective sleep quality in real-world settings.
  6. Liu, J., et al. (2023). Wearable-based sleep quality assessment using multi-parameter features. IEEE Journal of Biomedical and Health Informatics, 27(4), 1801–1812.Shows that combining efficiency, fragmentation, sleep stages, and HR/HRV yields the most accurate wearable-derived sleep-quality estimates.

Stress

The HRV-based stress literature behind Sam's stress score: how heart rate variability responds to mental and physical load, and why the score is read as a trend rather than a verdict on a single day.

  1. Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, 258.Defines HRV measures (SDNN, RMSSD, LF/HF) and their physiological meaning.
  2. Kim, H.-G., Cheon, E.-J., Bai, D.-S., Lee, Y. H., & Koo, B.-H. (2018). Stress and heart rate variability: A meta-analysis and review of the literature. Psychiatry Investigation, 15(3), 235–245.Confirms consistent HRV reduction and LF/HF increase under stress.
  3. Castaldo, R., Melillo, P., Bracale, U., Caserta, M., Triassi, M., & Pecchia, L. (2015). Acute mental stress assessment via short-term HRV analysis in healthy adults: A systematic review with meta-analysis. Biomedical Signal Processing and Control, 18, 370–377.Quantifies HRV metric changes across studies; establishes short-term HRV validity for stress detection.
  4. Delaney, J. P. A., & Brodie, D. A. (2000). Effects of short-term psychological stress on the time and frequency domains of heart rate variability. Biological Psychology, 53(3), 233–243.Experimental proof of decreased HF power, increased HR, and elevated LF/HF during acute stress.
  5. Taelman, J., Vandeput, S., Spaepen, A., & Van Huffel, S. (2009). Influence of mental stress on heart rate and heart rate variability. Proceedings of the 4th European Conference of the IFMBE, 1366–1369.Found HR increase and HRV suppression under cognitive load; foundational for HRV-based stress indices.
  6. Melillo, P., Bracale, U., & Pecchia, L. (2011). Nonlinear heart rate variability features for real-life stress detection: A pilot study on wearable monitoring. IEEE Transactions on Information Technology in Biomedicine, 16(3), 333–341.Demonstrates real-time stress detection using wearable HRV signals.

Questionnaires in the app

Sam administers short self-report questionnaires inside its programs: the MOS Sleep Scale in the sleep program, the K10 for stress, the PAVS for exercise and the IPAQ-SF for movement. Condition programs add MEDAS-14 (high blood pressure), MIDAS (migraine), NDDI-E (epilepsy), OASIS (panic disorder), GERD-HRQL (reflux) and a PROMIS-framework check-in (gout). The references below are the primary validation sources for each instrument. Two check-ins - asthma control and hay fever symptoms - are written by us following guideline-endorsed methods (GINA and ARIA) and are not independently validated named instruments. Every answer stays self-reported: no questionnaire in Sam produces a diagnosis.

MOS-SS

Medical Outcomes Study Sleep Scale

Sleep program

A 12-item self-report scale on sleep over the past four weeks, covering sleep disturbance, snoring, shortness of breath or headache on awakening, sleep adequacy, daytime somnolence and average hours slept. Five subscales and the Sleep Problems Index are transformed to a 0-100 range; sleep quantity is reported as raw hours slept. Sam repeats it periodically so changes in self-reported sleep become visible over time.

  1. Hays RD, Martin SA, Sesti AM, Spritzer KL (2005). Psychometric properties of the Medical Outcomes Study Sleep measure Sleep Medicine
  2. Hays RD, Stewart AL (1992). Sleep measures In: Stewart AL, Ware JE (eds), Measuring Functioning and Well-Being: The Medical Outcomes Study Approach. Duke University Press, 235-259

K10

Kessler Psychological Distress Scale

Stress program

A 10-item questionnaire on how often symptoms such as nervousness, restlessness, hopelessness and fatigue occurred over the past 30 days. Each item is rated on a five-point frequency scale, giving a total between 10 and 50. Sam repeats it so shifts in your own answers become visible; it does not screen you or assign a category.

  1. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, Walters EE, Zaslavsky AM (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress Psychological Medicine
  2. Andrews G, Slade T (2001). Interpreting scores on the Kessler Psychological Distress Scale (K10) Australian and New Zealand Journal of Public Health

PAVS

Physical Activity Vital Sign

Exercise program

A two-question activity check asking on how many days per week and for how many minutes per day moderate to vigorous activity is performed. The two answers multiply into minutes per week. The same two-question format is validated in the literature under the name Exercise Vital Sign. Sam repeats it as a quick measure of self-reported activity volume.

  1. Coleman KJ, Ngor E, Reynolds K, Quinn VP, Koebnick C, Young DR, Sternfeld B, Sallis RE (2012). Initial validation of an exercise vital sign in electronic medical records Medicine & Science in Sports & Exercise
  2. Ball TJ, Joy EA, Gren LH, Shaw JM (2016). Concurrent validity of a self-reported physical activity vital sign questionnaire with adult primary care patients Preventing Chronic Disease

IPAQ-SF

International Physical Activity Questionnaire, Short Form

Movement program

A 7-item questionnaire on physical activity in the last seven days, split into vigorous activity, moderate activity, walking and time spent sitting. Days and minutes are converted into MET minutes per week, which gives a comparable volume figure across activity types. Sam uses it to track self-reported everyday movement over the course of the program.

  1. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P (2003). International Physical Activity Questionnaire: 12-country reliability and validity Medicine & Science in Sports & Exercise

MEDAS-14

Mediterranean Diet Adherence Screener

Condition program: high blood pressure

A 14-item screener on how closely eating habits follow a Mediterranean dietary pattern, covering olive oil, vegetables, fruit, legumes, fish, nuts, red meat, sugary drinks and similar items. Each item scores 0 or 1, giving a total between 0 and 14. Sam uses it to make changes in self-reported eating habits visible over the course of the program.

MEDAS-14 measures diet, not blood pressure. It is used in this program because eating pattern is one of the things people are asked about and can change; the blood pressure readings themselves stay in your own meter.

  1. Schroder H, Fito M, Estruch R, Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Lamuela-Raventos R, Ros E, Salaverria I, Fiol M, Covas MI, Vinyoles E, Aros F, Ruiz-Gutierrez V, Serra-Majem L, Pinto X, Munoz MA, Warnberg J, Estruch R (2011). A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women The Journal of Nutrition, 141(6), 1140-1145
  2. Martinez-Gonzalez MA, Garcia-Arellano A, Toledo E, Salas-Salvado J, Buil-Cosiales P, Corella D, Covas MI, Schroder H, Aros F, Gomez-Gracia E, Fiol M, Ruiz-Gutierrez V, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pinto X, Munoz MA, Warnberg J, Ros E, Estruch R (2012). A 14-item Mediterranean diet assessment tool and obesity indexes among high-risk subjects: the PREDIMED trial PLoS ONE

MIDAS

Migraine Disability Assessment

Condition program: migraine

Seven questions on the past three months, of which five are scored: how many days work, household tasks, family life or leisure were missed or clearly limited by headache. The two remaining questions record headache days and pain intensity and do not count towards the total. Sam charts the total over time. The published grades exist in the literature; Sam does not assign you one.

  1. Stewart WF, Lipton RB, Whyte J, Dowson A, Kolodner K, Liberman JN, Sawyer J (1999). An international study to assess reliability of the Migraine Disability Assessment (MIDAS) score Neurology
  2. Stewart WF, Lipton RB, Dowson AJ, Sawyer J (2001). Development and testing of the Migraine Disability Assessment (MIDAS) questionnaire to assess headache-related disability Neurology

NDDI-E

Neurological Disorders Depression Inventory for Epilepsy

Condition program: epilepsy

A 6-item questionnaire on mood, developed specifically for people with epilepsy: its items were chosen not to overlap with cognitive difficulties or with the side effects of antiepileptic medication, which otherwise confound general mood questionnaires in this group. Sam repeats it and shows the answers over time; it does not screen for or identify depression.

  1. Gilliam FG, Barry JJ, Hermann BP, Meador KJ, Vahle V, Kanner AM (2006). Rapid detection of major depression in epilepsy: a multicentre study The Lancet Neurology
  2. Metternich B, Wagner K, Buschmann F, Anger R, Schulze-Bonhage A (2012). Validation of a German version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) Epilepsy & Behavior

OASIS

Overall Anxiety Severity and Impairment Scale

Condition program: panic disorder

A 5-item scale on anxiety over the past week, covering frequency, intensity, avoidance and interference with daily activities and with work, school or home life. Each item is rated from 0 to 4, giving a total between 0 and 20. Sam uses it as a short recurring check-in so changes in self-reported anxiety are visible over time.

  1. Norman SB, Cissell SH, Means-Christensen AJ, Stein MB (2006). Development and validation of an Overall Anxiety Severity And Impairment Scale (OASIS) Depression and Anxiety
  2. Campbell-Sills L, Norman SB, Craske MG, Sullivan G, Lang AJ, Chavira DA, Bystritsky A, Sherbourne C, Roy-Byrne P, Stein MB (2009). Validation of a brief measure of anxiety-related severity and impairment: the Overall Anxiety Severity and Impairment Scale (OASIS) Journal of Affective Disorders

GERD-HRQL

Gastroesophageal Reflux Disease Health-Related Quality of Life questionnaire

Condition program: reflux

Ten scored questions on how much reflux affected the past weeks: heartburn in general and when lying down, standing, after meals and at night, plus dietary change, difficulty and pain on swallowing, bloating and the effect of medication. Sam charts the total over time.

  1. Velanovich V (2007). The development of the GERD-HRQL symptom severity instrument Diseases of the Esophagus
  2. Velanovich V, Vallance SR, Gusz JR, Tapia FV, Harkabus MA (1996). Quality of life scale for gastroesophageal reflux disease Journal of the American College of Surgeons