Generational differences in mental health trends in the twenty-first century

Generational differences in mental health trends in the twenty-first centur

POISE study group characteristics by return to paid work in the first year after stroke (univariates).

<p>Numbers are n (%) unless otherwise specified;</p>*<p>p<0·20 in univariate analyses; ref = reference group in univariate analyses; HADS-D hospital anxiety and depression scale depression subscale score; HAD-A hospital anxiety and depression scale anxiety subscale score.</p>†<p>76 (38%) of the participants who returned to paid work had done so by their baseline visit.</p

Cumulative incidence (Kaplan Meier plot) in time to return to work over one year by depression status at 28 days.

<p>Cumulative incidence (Kaplan Meier plot) in time to return to work over one year by depression status at 28 days.</p

Generational differences in mental health trends in the twenty-first century

Given the observed deterioration in mental health among Australians over the past decade, this study investigates to what extent this differs in people born in different decades—i.e., possible birth cohort differences in the mental health of Australians. Using 20 y of data from a large, nationally representative panel survey ( N = 27,572), we find strong evidence that cohort effects are driving the increase in population-level mental ill-health. Deteriorating mental health is particularly pronounced among people born in the 1990s and seen to a lesser extent among the 1980s cohort. There is little evidence that mental health is worsening with age for people born prior to the 1980s. The findings from this study highlight that it is the poorer mental health of Millennials that is driving the apparent deterioration in population-level mental health. Understanding the context and changes in society that have differentially affected younger people may inform efforts to ameliorate this trend and prevent it continuing for emerging cohorts

Flow of participants in POISE.

<p>Flow of participants in POISE.</p

Final multivariable model showing variables associated with return to paid employment in the first year after stroke.

<p>N = 240; C-statistic = 0·805; goodness of fit (Hosmer and Lemeshow goodness of fit test) p = 0·404.</p><p>Being self employed/working in own business excluded from final model due to large number of missing data (not significant when included).</p

Work situation for those who returned to paid work in the first year after stroke.

<p>Numbers are n (%) unless otherwise specified; SD = standard deviation.</p

Cumulative incidence (Kaplan Meier plot) in time to return to work over one year by dependence of daily living status at 28 days.

<p>Cumulative incidence (Kaplan Meier plot) in time to return to work over one year by dependence of daily living status at 28 days.</p

Additional file 1 of A qualitative exploration of young people’s mental health needs in rural and regional Australia: engagement, empowerment and integration

Additional file 1

sj-png-1-anp-10.1177_00048674221106677 – Supplemental material for The comparative mental health of Australian doctors before and during COVID-19: A population-based approach

Supplemental material, sj-png-1-anp-10.1177_00048674221106677 for The comparative mental health of Australian doctors before and during COVID-19: A population-based approach by Kevin Thien Anh Hoang, Richard W Morris, Diana Nicole Naehrig and Nick Glozier in Australian & New Zealand Journal of Psychiatry</p