Cohort study, 2023
Does having PMS increase the risk of developing depression later?
Yes. Women who reported frequent PMS in 2000 had significantly higher odds of reporting a depression diagnosis in later years, with odds of 1.72 to 1.90 times higher over the next 18 years.
What they did
8,133 Australian women born 1973-78 were followed from 2000 to 2018, starting at age 22-27. They completed surveys every three years (seven times total). Researchers examined whether PMS frequency in 2000 predicted depression diagnosis and depression symptom frequency in later surveys.
What they found
Women who reported PMS 'often' in 2000 had higher odds of reporting a depression diagnosis in later years: 1.72 times in 2006, 1.88 times in 2012, 1.49 times in 2015, and 1.90 times in 2018. Women with 'sometimes' PMS also had higher odds in 2012 (1.37) and 2018 (1.59). PMS frequency also predicted how frequently women reported depressive symptoms in all later follow-ups.
What it means for you
Having frequent PMS is a long-term risk factor for depression that persists for nearly two decades. The main limits are that both PMS and depression were self-reported (not clinically confirmed), results are from Australia so may not apply globally, and we cannot prove PMS causes depression.
8,133 women
followed for 18 years
7 surveys
every 3 years starting age 22-27
OR 1.72-1.90
depression diagnosis risk for 'often' PMS group
About the study
- Original title
- The longitudinal predictive effect of self-reported frequency of premenstrual syndrome on depression: Findings from the Australian Longitudinal Study on Women's Health
- Authors
- Hou L, Chen L, Zhang W
- Journal
- Frontiers in public health
- Year
- 2023
- Study design
- Cohort study
- Participants
- 8,133
- What was tested
- None - observational study
- Open access
- Yes
- Read the paper
- doi.org/10.3389/fpubh.2023.1126190
Original abstract
Background: Previous studies have revealed a high comorbidity between premenstrual syndrome (PMS) and depression; however, whether PMS can longitudinally predict depression has not been examined in large sample studies. Methods: This study surveyed 8,133 women from the 1973-78 cohort of the Australian Longitudinal Study on Women's Health. Participants completed seven repeated measurements at 3-year intervals starting in 2000 (aged 22-27 years). Binary logistic and multivariate ordered logistic regression models were used to examine the predictive role of self-reported frequency of PMS symptoms in 2000 on self-reported diagnosis of depression and frequency of depressive symptoms, respectively, for each follow-up survey. Results: Self-reported frequency of PMS symptoms in the year 2000 predicted self-reported diagnosis of depression in most follow-up surveys. Specifically, compared to women who reported "never" had PMS symptoms in 2000, those who reported "often" had them were more likely to report a diagnosis of depression in 2006 (OR = 1.72), 2012 (OR = 1.88), 2015 (OR = 1.49), and 2018 (OR = 1.90); and those who reported "sometimes" had PMS symptoms in 2000 were more likely to report a diagnosis of depression in 2012 (OR =1.37) and 2018 (OR = 1.59). Furthermore, self-reported frequency of PMS symptoms in 2000 predicted self-reported frequency of depressive symptoms in each follow-up survey. Compared to women who reported "never" had PMS symptoms in 2000, those who reported "sometimes", or "often", had PMS symptoms reported depressive symptoms more frequently. Conclusion: Self-reported frequency of PMS can predict the self-reported frequency of depressive symptoms and the subsequent diagnosis of depression.
Reproduced under CC-BY.
Topics
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