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Objectives: To examine the association between menopausal status and the risk of symptoms of depression and anxiety in a community-based sample of Australian midlife women.Study Design: Female participants (mean age 50.6±1.5) who were premenopausal (n=237), perimenopausal (n=249) or naturally postmenopausal (n=225) were drawn from the Personality and Total Health (PATH) Through Life Project, a longitudinal study.Main Outcome Measures: Symptoms of depression and anxiety were measured using the Goldberg Depression Scale and Goldberg Anxiety Scale. Generalised linear regression models with a negative binomial log link were used.Results: Relative to premenopause and after adjusting for all relevant covariates, being perimenopausal was associated with increased risk of greater symptoms of depression (incidence rate ratio [IRR]=1.29, p=0.001), while being postmenopausal was associated with increased risk of greater symptoms of anxiety (IRR=1.15, p=0.041). Being perimenopausal or postmenopausal was associated with an increased risk of greater symptoms of depression (IRR=1.35, p=0.008; IRR=1.31, p=0.029) and anxiety (IRR=1.22, p=0.030; IRR=1.32, p=0.006) in women without a history of probable major depressive disorder or generalised anxiety disorder. Risk of symptoms did not differ with menopausal status in women with this history.Conclusions: Menopausal status is associated with the risk of symptoms of depression and anxiety. There is a greater likelihood of increased symptoms of depression during perimenopause and symptoms of anxiety during postmenopause. In women without a history of depression or anxiety, the perimenopause and postmenopausal stages are associated with increased risk of greater symptoms of anxiety and depression relative to premenopause. [ABSTRACT FROM AUTHOR]

Background: Long-term protective associations proposed between previous complex occupational tasks and cognitive functioning in later life point to work roles contributing to cognitive reserve.Objective: To examine occupational complexity involving data, people, and things in relation to the level of, and rate of change in, cognitive functioning.Methods: Participants were 1,290 members of the Australian Longitudinal Study of Ageing and initially aged 65-102 years (mean = 79). Information about main lifetime occupation was collected retrospectively. Cognition was assessed 4 times over a 13-year interval.Results: In multilevel models adjusted for demographics, medical conditions, and depressive symptoms, higher complexity involving data was associated with faster speed (β = 0.73, p < 0.001), better memory (β = 0.32, p < 0.05), and mental status (β = 0.40, p < 0.001) at baseline. These associations remained statistically reliable after adjusting for complexity with people and things, sedentary and heavy physical work, retirement age, and leisure activity. Complexity with things was associated with slower speed (β = -0.50, p < 0.001) and poorer mental status (β = -0.26, p < 0.01) and was not explained by other variables. There were no associations of occupational complexity with rates of cognitive decline over time.Conclusion: Older individuals retired from occupations characterized by higher complexity with data maintain their cognitive advantage over those with lower complexity into older adulthood, although without additional moderation of this advantage in terms of less postretirement cognitive decline. Complexity of work with things confers a negative relation to cognition whilst also not affecting postretirement cognitive change. Although the relative contributions of occupation or other early life influences for cognition remain to be established, it nevertheless may be beneficial to promote workplace design strategies and interventions that incorporate complex activities, particularly tasks involving data. [ABSTRACT FROM AUTHOR]