ArticleSocial psychiatry and psychiatric epidemiology2014
Predictors of prescribed medication use for depression, anxiety, stress, and sleep problems in mid-aged Australian women.
Article in Social psychiatry and psychiatric epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Daytime naps and depression risk: A meta-analysis of observational studies.Frontiers in psychology · 2022Pooled it
- Efficacy and Safety of Hormone Replacement Combined With Escitalopram in the Treatment of Chronic Insomnia in Perimenopausal Women: A Randomized Controlled Trial.CNS neuroscience & therapeutics · 2025Trial
- Prevalence and determinants of substance use among university students in Saudi Arabia: a nationwide online cross-sectional study.Frontiers in public health · 2026Article
- Research status of hormone replacement therapy on mood and sleep quality in menopausal women.World journal of psychiatry · 2024Article
- Gender Differences in Predictors of Self-Medication with Tranquillizers and Sleeping Pills: Results of the Population-Based Study in Serbia.Zdravstveno varstvo · 2020Article
- The relationship between depression, daytime napping, daytime dysfunction, and snoring in 0.5 million Chinese populations: exploring the effects of socio-economic status and age.BMC public health · 2018Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe study examined prevalence of self-reported use of medication recommended or prescribed by a doctor for depression, anxiety, stress, and sleep problems; and modelled baseline factors that predicted use over 3 years for each condition.
methodsAnalyses were undertaken on the 2001 and 2004 surveys of mid-aged women in the Australian Longitudinal Study on Women's Health. Dependent variables were self-reported use in past 4 weeks of medications recommended or prescribed by a doctor for depression, anxiety, stress, or sleep problems in 2001 and 2004. Generalized Estimating Equations (GEE) were used to predict medication use for each condition over 3 years.
resultsPrevalence of prescribed medication use (2001, 2004) for each condition was depression (7.2, 8.9 %), anxiety (7.4, 9.0 %), stress (4.8, 5.7 %), and sleep problems (8.7, 9.5 %). Multivariable analyses revealed that odds of medication use across 3 years in all four conditions were higher for women with poorer mental and physical health, using hormone replacement therapy (HRT), or having seen a counsellor; and increased over time for depression, anxiety, and stress models. Medication use for depression was also higher for overweight/obese women, ex-smokers, and unmarried. Medication use for anxiety was higher for unmarried and non-working/low occupational women. Medication use for stress was higher for non-working women. Additional predictors of medication for sleep were surgical menopause, and area of residence.
conclusionsSelf-reported use of prescribed medication for four mental health conditions is increased over time after controlling for mental and physical health and other variables. Research needs to explore decision-making processes influencing differential rates of psychoactive medication use and their relationship with health outcomes.
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