Hormone Health Hub: Expert Insights on Testing, Balance & Better Living — menstrual cycle

Heavy periods affect millions of women, yet the underlying causes are frequently misunderstood or left unaddressed. From oestrogen and progesterone imbalances to structural issues such as fibroids and adenomyosis, there are several well-established reasons why menstrual bleeding can become excessive. This article explains the physiology of the menstrual cycle, the most common causes of heavy periods, and how hormone testing can help identify what is driving your symptoms — so you can take informed steps towards better menstrual health.

The latest research confirms what Dr. John Lee and Dr. David Zava argued decades ago: maintaining healthy progesterone levels in proper balance with oestrogen is one of the most powerful tools women have for preventing and recovering from breast cancer. This article outlines seven practical steps to restore hormone balance and reduce breast cancer risk.

A landmark study published in Nature confirmed what Dr. John Lee and Dr. David Zava argued over a decade ago: natural progesterone — unlike synthetic progestins — can slow or even shrink ER+/PR+ breast cancer tumours. This article explains the receptor science behind the findings and what it means for women’s hormone health.

The contraceptive pill is one of the most widely used medications in the world — but its effects on mood, brain chemistry and hormone balance are still poorly understood. This article explores how synthetic hormones disrupt oestrogen, progesterone, cortisol and neurotransmitters, and why some women are far more vulnerable to depression and anxiety as a result.

Hormonal contraception suppresses ovarian function, which means saliva and blood spot hormone test results will appear artificially low — but this doesn’t mean hormone levels at the tissue level are low. This guide explains how to interpret hormone test results correctly when using the pill, patch, ring or IUD, and when to collect your sample for the most meaningful data.