LH

Sport / position

Athletics · 1500 m middle distance

Primary goal

Hold body mass through the competition block

Phase / day type

Competition · High load

Next event

Methods & References

17 methods · 15 sources

Every calculation in this project resolves to an entry below: equation, units, version, limitations and the source it is attributed to.

Method registry

Search by method name, identifier or equation.

  • Mifflin–St Jeor resting metabolic rate

    mifflin-1990 · v1.0

    v1.0

    Estimate resting metabolic rate from body mass, height, age and the equation sex constant.

    male: 10·kg + 6.25·cm − 5·age + 5 | female: 10·kg + 6.25·cm − 5·age − 161

    Inputs
    Body mass (kg), height (cm), age (years), equation sex
    Outputs & units
    Resting metabolic rate (kcal/day)
    Limitations
    Predictive population equation; individual error can be substantial, particularly in high-lean-mass athletes.
    • Primary studyMifflin MD, St Jeor ST, Hill LA, et al. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990.PMID 2305711Open source
  • Cunningham resting metabolic rate

    cunningham-1980 · v1.0

    v1.0

    Estimate resting metabolic rate from measured fat-free mass.

    500 + 22 · FFM(kg)

    Inputs
    Fat-free mass (kg)
    Outputs & units
    Resting metabolic rate (kcal/day)
    Limitations
    Only as accurate as the fat-free mass measurement and its method; requires a documented body-composition assessment.
    • Primary studyCunningham JJ. A reanalysis of the factors influencing basal metabolic rate in normal adults. Am J Clin Nutr. 1980.PMID 7435418Open source
  • Daily energy target

    daily-energy · v1.0

    v1.0

    Scale a selected resting metabolic rate by a professional-entered activity factor and an explicit planning adjustment.

    RMR × activityFactor × (1 + adjustment%/100)

    Inputs
    Selected RMR, activity factor, adjustment percentage
    Outputs & units
    Baseline and adjusted kcal/day
    Limitations
    The activity factor is a professional judgement, not a measurement. Outputs are planning estimates and must be verified against intake and body-mass trend.
    • Position standThomas DT, Erdman KA, Burke LM. Position of the Academy of Nutrition and Dietetics, Dietitians of Canada and ACSM: Nutrition and Athletic Performance. 2016.PMID 26891166Open source
  • Carbohydrate periodization

    carb-periodization · v1.0

    v1.0

    Convert a day-demand carbohydrate range in g/kg/day into grams and kilocalories per day.

    g/day = g/kg/day × body mass; kcal = g × 4

    Inputs
    Body mass, day demand band or custom range, selected point
    Outputs & units
    Minimum/maximum g/day, selected g/day and kcal/day
    Limitations
    Bands are planning ranges for populations of athletes, not individual prescriptions; adjust from observed training response.
    • Position standThomas DT, Erdman KA, Burke LM. Position of the Academy of Nutrition and Dietetics, Dietitians of Canada and ACSM: Nutrition and Athletic Performance. 2016.PMID 26891166Open source
    • Primary studyBurke LM, Hawley JA, Wong SHS, Jeukendrup AE. Carbohydrates for training and competition. J Sports Sci. 2011.PMID 21660838Open source
    • Position standKerksick CM, et al. International Society of Sports Nutrition position stand: nutrient timing. JISSN. 2017.PMID 28919842Open source
  • Protein — general exercising athlete

    protein-general · v1.0

    v1.0

    Planning band of 1.4–2.0 g/kg body mass per day.

    g/day = g/kg × body mass

    Inputs
    Body mass, selected g/kg
    Outputs & units
    g/day and kcal/day
    Limitations
    Distribution across the day and per-meal dose are separate considerations not modelled here.
    • Position standJäger R, et al. International Society of Sports Nutrition position stand: protein and exercise. JISSN. 2017.PMID 28642676Open source
  • Protein — strength / hypertrophy band

    protein-strength · v1.0

    v1.0

    Planning band of 1.6–2.2 g/kg body mass per day.

    g/day = g/kg × body mass

    Inputs
    Body mass, selected g/kg
    Outputs & units
    g/day and kcal/day
    Limitations
    Attributed to the uploaded sports-nutrition reference used for this independent build, not to a primary consensus statement.
    • Uploaded referenceUploaded sports-nutrition reference text used for this independent build. Planning band only; not a primary consensus statement.
    • Position standJäger R, et al. International Society of Sports Nutrition position stand: protein and exercise. JISSN. 2017.PMID 28642676Open source
  • Protein — energy-restricted, resistance-trained

    protein-energyRestrictedFfm · v1.0

    v1.0

    Planning band of 2.3–3.1 g/kg fat-free mass per day in an energy-restricted resistance-trained context.

    g/day = g/kg FFM × FFM

    Inputs
    Fat-free mass, selected g/kg FFM
    Outputs & units
    g/day and kcal/day
    Limitations
    Requires a measured fat-free mass; body mass is never substituted. Context-specific and not a default band.
    • Primary studyHelms ER, Zinn C, Rowlands DS, Brown SR. A systematic review of dietary protein during caloric restriction in resistance-trained lean athletes. IJSNEM. 2014.PMID 24092765Open source
  • Fat as a percentage of energy

    fat-percent-energy · v1.0

    v1.0

    Convert a selected 20–35% of energy into grams of fat per day.

    g/day = (kcal × pct/100) ÷ 9

    Inputs
    Energy target, selected percentage
    Outputs & units
    kcal/day and g/day
    Limitations
    Percentage-of-energy targets shift in absolute grams whenever the energy target changes.
    • Position standThomas DT, Erdman KA, Burke LM. Position of the Academy of Nutrition and Dietetics, Dietitians of Canada and ACSM: Nutrition and Athletic Performance. 2016.PMID 26891166Open source
  • Macronutrient energy accounting

    energy-accounting · v1.0

    v1.0

    Sum selected carbohydrate, protein and fat energy and compare with the energy target.

    total = 4·CHO + 4·PRO + 9·FAT; remaining = target − total

    Inputs
    Energy target and selected macronutrient grams
    Outputs & units
    Total, remaining/unallocated and percentage of target
    Limitations
    Uses standard Atwater factors and never adjusts a professional selection automatically.
    • Position standThomas DT, Erdman KA, Burke LM. Position of the Academy of Nutrition and Dietetics, Dietitians of Canada and ACSM: Nutrition and Athletic Performance. 2016.PMID 26891166Open source
  • Sweat rate and fluid balance

    sweat-rate · v1.0

    v1.0

    Derive sweat loss, sweat rate, raw mass change and net fluid balance from a measured session.

    sweatL = (pre − post) + intakeL − urineL; rate = sweatL ÷ hours

    Inputs
    Pre/post mass, intake, urine, duration, chosen replacement fraction
    Outputs & units
    L, L/h, %, replacement range and mL per interval
    Limitations
    Mass change is a proxy only; respiratory water and substrate oxidation add error. Results are environment- and session-specific.
    • Position standMcDermott BP, et al. National Athletic Trainers' Association position statement: fluid replacement for the physically active. 2017.PMC5634236Open source
    • Uploaded referenceUploaded sports-nutrition reference text used for this independent build. Planning band only; not a primary consensus statement.
  • Pre-exercise fluid planning range

    pre-exercise-fluid · v1.0

    v1.0

    5–10 mL/kg body mass, 2–4 h before exercise.

    minMl = 5 × kg; maxMl = 10 × kg

    Inputs
    Body mass
    Outputs & units
    mL range and timing window
    Limitations
    A starting range only; adjust from urine indices and individual tolerance.
    • Position standMcDermott BP, et al. National Athletic Trainers' Association position statement: fluid replacement for the physically active. 2017.PMC5634236Open source
  • Exercise fueling and rapid recovery

    exercise-fueling · v1.0

    v1.0

    Convert selected pre, during and recovery bands into grams, per-feeding amounts and totals.

    duringTotal = g/h × hours; perFeeding = duringTotal ÷ floor(minutes ÷ interval)

    Inputs
    Body mass, duration, context, selected g/kg and g/h, interval, recovery window
    Outputs & units
    Pre g and kcal, total and per-feeding g, recovery g
    Limitations
    Higher intakes require gut training and must be trialled in training. Tolerance is highly individual.
    • Primary studyBurke LM, Hawley JA, Wong SHS, Jeukendrup AE. Carbohydrates for training and competition. J Sports Sci. 2011.PMID 21660838Open source
    • Position standKerksick CM, et al. International Society of Sports Nutrition position stand: nutrient timing. JISSN. 2017.PMID 28919842Open source
    • Primary studyBeelen M / Heaton LE et al. Selecting the optimal recovery nutrition strategy. Sports Med. 2015.PMID 26166054Open source
  • Competition strategy accounting

    competition-strategy · v1.0

    v1.0

    Total user-entered products against imported fueling and sweat requirements and expose any shortfall.

    totals = Σ(perServing × servings); shortfall = target − total

    Inputs
    Requirement targets, event duration and interval, product servings
    Outputs & units
    Totals, per-interval amounts, shortfall or excess
    Limitations
    Only sums what the professional entered. It generates no caffeine or supplement dose and makes no product recommendation.
    • Primary studyBurke LM, Hawley JA, Wong SHS, Jeukendrup AE. Carbohydrates for training and competition. J Sports Sci. 2011.PMID 21660838Open source
    • Position standMcDermott BP, et al. National Athletic Trainers' Association position statement: fluid replacement for the physically active. 2017.PMC5634236Open source
  • Estimated energy availability context

    energy-availability · v1.0

    v1.0

    Express net energy after exercise relative to fat-free mass as a context figure.

    EA = (intake − EEE) ÷ FFM

    Inputs
    Energy intake, exercise energy expenditure, fat-free mass
    Outputs & units
    kcal/kg FFM/day with all intermediate values
    Limitations
    Both inputs carry large measurement error. This build applies no thresholds and makes no REDs determination; it is not a diagnostic tool.
    • Consensus statementMountjoy M, et al. IOC consensus statement on Relative Energy Deficiency in Sport (REDs). Br J Sports Med. 2023;57:1073–1097.BJSM 57:1073–1097Open source
  • Body composition derivations

    body-composition · v1.0

    v1.0

    Derive BMI and, when a documented body-fat percentage exists, fat mass and fat-free mass.

    BMI = kg ÷ m²; fatMass = kg × bf%/100; FFM = kg − fatMass

    Inputs
    Body mass, height, optional body-fat percentage with method and date
    Outputs & units
    BMI (kg/m²), fat mass (kg), fat-free mass (kg)
    Limitations
    No skinfold-to-percentage conversion is applied. Methods are not interchangeable, so cross-method comparisons are flagged rather than plotted together.
    • Position standThomas DT, Erdman KA, Burke LM. Position of the Academy of Nutrition and Dietetics, Dietitians of Canada and ACSM: Nutrition and Athletic Performance. 2016.PMID 26891166Open source
  • Session-RPE training load

    session-rpe-load · v1.0

    v1.0

    Quantify internal session load in arbitrary units.

    load = duration(min) × sRPE

    Inputs
    Session duration (min), session RPE (0–10)
    Outputs & units
    Load in arbitrary units, daily and weekly totals
    Limitations
    Arbitrary units are only comparable within one athlete. No acute:chronic ratio and no load prescription is produced.
    • Primary studyFoster C, et al. A new approach to monitoring exercise training. J Strength Cond Res. 2001.PMID 11708692Open source
  • Supplement decision record

    supplement-decision · v1.0

    v1.0

    Structure a documented decision: purpose, food-first alternatives, rationale, batch testing and review date.

    Inputs
    Purpose, alternatives, evidence notes, certifier, lot, expiry, medications
    Outputs & units
    Decision status and review date
    Limitations
    This is a documentation record, not a dosing calculator. Third-party batch testing reduces but does not eliminate contamination risk.
    • Consensus statementMaughan RJ, et al. IOC consensus statement: dietary supplements and the high-performance athlete. 2018.PMC5867441Open source
    • GuidanceUSADA Supplement Connect — supplement risk guidance for athletes.Open source
    • GuidanceInternational Testing Agency — athlete guidance on supplements and prohibited substances.Open source

Attribution rules

How sources are labelled in this project.

  • Planning bands taken from the uploaded reference are labelled as an uploaded reference and never presented as consensus.
  • Every saved calculation snapshot stores the method identifier and version used at the time of saving.
  • Outputs are planning estimates for a qualified professional; they are not a diagnosis or a medical prescription.