Wellness
Researchers identify potential genes linking depression to menstrual pain

Women are twice as likely as men to suffer from depression and often experience more severe physical symptoms. This gender difference is particularly evident during reproductive years and dramatically impacts the lives of hundreds of millions of people worldwide. However, although links between mental health and reproductive health have been found, the associations have remained underexplored.
In a new study, researchers from have found that depression can increase the chances of a person experiencing menstrual pain (dysmenorrhea).
“We used a specialised technique called Mendelian randomisation to analyse genetic variation and identify specific genes that may mediate the effect of depression on menstrual pain,” said Shuhe Liu, lead author of the study at Xi’an Jiaotong-Liverpool-University (XJTLU), China.
“Our findings provide preliminary evidence that depression may be a cause, rather than a consequence, of dysmenorrhea as we did not find evidence that period pain increased the risk of depression.”
The team analysed approximately 600,000 cases from European populations and 8,000 from East Asian populations and saw a strong link in both datasets. They also investigated the possibility that sleeplessness, often experienced by those suffering from depression, was a significant mediator between depression and dysmenorrhea.
“We found that increased sleep disturbances could exacerbate menstrual pain. Addressing sleep issues may therefore be crucial in managing both conditions. However, more research is required to understand the intricate links between these factors,” said Liu.
Holistic approach
This study further highlights the need for a holistic approach when treating mental health and reproductive issues.
“Mental disorders are often not considered when treating conditions such as period pain. Our findings emphasise the importance of mental health screening for people who suffer from severe menstrual pain. We hope this can lead to more personalised treatment options, and improved healthcare, and reduce the stigma surrounding the conditions,” Liu said.
“Our results provide evidence of a link between our neurological systems and the rest of the body. By exploring and understanding these relationships better, we can make a real difference to the millions of people experiencing period pain and mental health issues.”
Hormonal health
Wearables may help detect menstrual health changes earlier, study suggests

Wearable technology could revolutionise how women understand and manage their menstrual and hormonal health, according to a major new review that assessed dozens of studies involving data from millions of participants.
The review, which examined 40 studies with cohorts ranging from small pilot groups to nearly 19 million participants, found that devices such as the Oura Ring, Apple Watch, Fitbit, WHOOP band and Garmin watches are capable of detecting meaningful physiological changes across the menstrual cycle – and could one day help identify conditions far sooner than current methods allow.
The findings come as growing attention is being paid to the economic and personal toll of menstrual health problems.
Up to 90 per cent of women report cycle-related symptoms including pain, bloating and mood swings, while up to 40 per cent suffer from premenstrual syndrome.
A more severe condition, premenstrual dysphoric disorder, affects up to 8 per cent of women. In economic terms alone, menstrual and perimenopausal symptoms are estimated to cost the United States more than US$26 billion a year.
Researchers found that wearables were able to reproduce well-established hormonal patterns in real-world settings.
Skin temperature was found to be lower in the first half of the cycle before ovulation, and higher afterwards, consistent with known effects of progesterone.
Resting heart rate rose by around two to four beats per minute from the pre-ovulation phase to the days following it.
Heart rate variability, a marker of nervous system activity, was highest in the early cycle and lowest in the premenstrual phase, with lower readings linked to symptoms of PMS and PMDD.
The review also challenged some long-held assumptions.
Digital data suggested that ovulation tends to occur later and more variably than previously thought, with the pre-ovulation phase averaging 15 to 17 days rather than the 13 to 14 days typically cited.
Skin temperature was also found to dip most sharply more than five days before ovulation – not immediately before it – a finding the authors said could have practical implications for women using cycle tracking for contraception or conception.
Large datasets revealed that cycle patterns vary considerably between individuals and across a lifetime.
Nearly 20 per cent of women showed significant cycle-to-cycle variability, and both low and high body weight were linked to longer and less predictable cycles.
The data also pointed to racial differences in menstrual characteristics that had previously gone largely undetected in smaller laboratory studies.
On contraception, the review found that combined hormonal contraceptive users showed flatter, inverted heart rate variability patterns across the cycle, while progestin-only methods produced trends closer to natural cycles.
The authors cautioned that most research has been conducted in the United States and Europe, with predominantly white participants, and called for broader, more diverse studies.
They also flagged significant gaps in research on perimenopause, partly because many studies excluded women with irregular cycles.
Despite these limitations, researchers concluded that wearable devices hold genuine promise for helping women monitor their health and enabling earlier identification of conditions that might warrant medical attention – provided privacy safeguards and standardised research methods are put in place.
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