Female Hormone Test Questionnaire - Theorem Metabolic

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    Female Hormone Pre-Test Questionnaire

    Female hormones fluctuate by design throughout your cycle. To provide accurate interpretation, we need to understand your cycle timing, lifestyle context, and health history. Please complete this form before your blood test.

    ⏱ Completion time: 15–20 minutes
    🔒 UK GDPR compliant
    ⚠️ 3 critical sections marked below

    01

    Biometric Identity

    Basic details we need to process your results and calculate key ratios.







    02

    Menstrual Cycle Intelligence — CRITICAL

    Cycle timing determines which reference ranges apply. The same progesterone level means entirely different things on Day 7 versus Day 21.


    📋

    Why This Matters

    Your LMP date is the foundation of accurate interpretation. Without it, we cannot determine your cycle phase. Combined with your blood test date, this tells us exactly which day of your cycle you were on when tested — which changes every reference range we apply.

    If you selected Post menopause or No period due to coil above, skip the remaining fields in this section.

    This is Day 1 of your most recent period BEFORE testing. This is the single most important date in this questionnaire.

    If known — combined with your LMP, this calculates your exact cycle day at the time of testing.

    From Day 1 of one period to Day 1 of the next. Normal range is 21–35 days.




    03

    Contraception & Medications — CRITICAL

    Hormonal contraception suppresses natural cycling. Your results show contraceptive effect, not natural hormone production. This fundamentally changes interpretation.

    ⚠️

    Critical Distinction

    Hormonal contraception affects female hormones in the same way TRT affects male hormones — it replaces natural production. Knowing this context prevents misinterpretation of your results.




    Include thyroid meds, antidepressants, blood pressure meds, metformin, etc.

    04

    Nutrition & Energy Availability — CRITICAL

    Calorie intake is one of the most important variables in female hormone health. Under-fuelling triggers metabolic defence mechanisms that directly suppress hormones.

    📋

    Why We Ask This

    Low Energy Availability (eating less than 30 kcal/kg body weight) elevates prolactin, suppresses progesterone, and prevents fat loss despite restriction. This is one of the most common — and most overlooked — causes of hormonal disruption in active women.






    05

    Training & Physical Activity

    Training volume and intensity directly influence hormone production, recovery, and energy availability.



    Select all that apply.



    06

    Health History & Current Symptoms

    Patterns across symptom categories reveal underlying hormonal drivers. Please check everything that currently applies.

    Select all that apply.


    📊

    Symptom Intelligence

    Check all symptoms you experience regularly. Patterns across categories reveal underlying hormonal drivers that individual markers alone cannot show.

    07

    Reproductive Goals & History

    Reproductive context shapes which markers we prioritise and how we interpret your results.







    [number menarche-age placeholder "Age" min:8 max:20]

    No periods for 3+ months outside pregnancy.


    08

    Stress & Lifestyle Factors

    Chronic stress directly suppresses ovulation and progesterone production. Lifestyle factors provide essential context for your results.

    1 = minimal stress, 10 = overwhelming stress


    Select all that apply.





    Select all that apply.

    09

    Current Supplement Usage

    Several supplements directly influence hormone markers. Complete information here prevents misinterpretation.

    Include vitamins, minerals, herbal supplements, protein powders, etc. with dosages and how long you have been taking them.

    Tick any you are currently taking.

    10

    Goals & Priorities

    Rank your objectives so we focus the analysis on what matters most to you. 1 = highest priority, 5 = lowest.









    Describe your main symptoms, concerns, or goals. Be as detailed as possible — this context directly shapes the analysis.