Gender, marital and educational inequalities in mid- to late-life depressive symptoms: cross-cohort variation and moderation by urbanicity degree.

BACKGROUND: Although ageing populations are increasingly residing in cities, it is unknown whether depression inequalities are moderated by urbanicity degree. We estimated gender, marital and educational inequalities in depressive symptoms among older European and Canadian adults, and examined whether higher levels of urbanicity, captured by population density, heightened these inequalities. METHODS: Harmonised cross-sectional data on 97 826 adults aged ≥50 years from eight cohorts were used. Prevalence ratios (PRs) were calculated for probable depression, depressed affect and depressive symptom severity by gender, marital status and education within each cohort, and combined using random-effects meta-analysis. Using a subsample of 73 123 adults from six cohorts with available data on population density, we tested moderating effects measured by the number of residents per square kilometre. RESULTS: The pooled PRs for probable depression by female gender, unmarried or non-cohabitating status and low education were 1.48 (95% CI 1.28 to 1.72), 1.44 (95% CI 1.29 to 1.61) and 1.29 (95% CI 1.18 to 1.41), respectively. PRs for depressed affect and high symptom severity were broadly similar. Except for one Dutch cohort with findings in an unexpected direction, there was no evidence that population density modified depressive symptom inequalities. CONCLUSIONS: Despite cross-cohort variation in gender, marital status and educational inequalities in depressive symptoms, there was weak evidence that these inequalities differed by levels of population density.

Depression, hormone therapy, and the menopausal transition among women aged 45 to 64 years using Canadian Longitudinal Study on aging baseline data.

OBJECTIVE: To investigate the association between menopausal status, hormone therapy (HT) use and the presence of depressive symptoms among middle-aged women in Canada. METHODS: Cross-sectional baseline data from 13,216 women aged 45 to 64 years from the Canadian Longitudinal Study on Aging (CLSA) was used. The association between menopausal status (pre- vs postmenopausal) and self-reported symptoms of depression based on a score of 10 or more on the Center for Epidemiologic Studies Short Depression Scale-10 was assessed using logistic regression. Use and duration of use of HT, time since menopause, age at onset of menopause, and socioeconomic status and other contextual variables were explored for the association with depression. RESULTS: Overall, 18.4% of middle-aged women in the CLSA data were identified as depressed using the Center for Epidemiologic Studies Short Depression Scale-10. Based on the logistic regression models, women reporting premature menopause (before the age of 40 years) and postmenopausal women currently using HT had 1.45 (1.07-1.97) and 1.21 (1.02-1.44) greater odds of having depression. Chi-square analyses showed that women with depressive symptoms were more likely to have low education, low household incomes, live alone, be nulliparous, and have low social support. CONCLUSIONS: Our findings highlight the association between depression and premature menopause among midlife women. Current HT use may be a proxy for more severe menopausal vasomotor symptoms, a known risk factor for depressive symptoms. Identification of risk factors, including social determinants of health, age at menopause, and menopausal symptoms can help guide clinicians when assessing mental health. : Video Summary:http://links.lww.com/MENO/A576.

Video Summary:http://links.lww.com/MENO/A576.

Assessing global risk factors for non-fatal injuries from road traffic accidents and falls in adults aged 35-70†years in 17 countries: a cross-sectional analysis of the Prospective Urban Rural Epidemiological (PURE) study.

OBJECTIVES: To assess risk factors associated with non-fatal injuries (NFIs) from road traffic accidents (RTAs) or falls. METHODS: Our study included 151 609 participants from the Prospective Urban Rural Epidemiological study. Participants reported whether they experienced injuries within the past 12 months that limited normal activities. Additional questions elicited data on risk factors. We employed multivariable logistic regression to analyse data. RESULTS: Overall, 5979 participants (3.9% of 151 609) reported at least one NFI. Total number of NFIs was 6300: 1428 were caused by RTAs (22.7%), 1948 by falls (30.9%) and 2924 by other causes (46.4%). Married/common law status was associated with fewer falls, but not with RTA. Age 65-70 years was associated with fewer RTAs, but more falls; age 55-64 years was associated with more falls. Male versus female was associated with more RTAs and fewer falls. In lower-middle-income countries, rural residence was associated with more RTAs and falls; in low-income countries, rural residence was associated with fewer RTAs. Previous alcohol use was associated with more RTAs and falls; current alcohol use was associated with more falls. Education was not associated with either NFI type. CONCLUSIONS: This study of persons aged 35-70 years found that some risk factors for NFI differ according to whether the injury is related to RTA or falls. Policymakers may use these differences to guide the design of prevention policies for RTA-related or fall-related NFI.