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Background: Most studies on the impact of the COVID-19 pandemic on depression burden focused on the earlier pandemic phase specific to lockdowns, but the longer-term impact of the pandemic is less well-studied. In this population-based cohort study, we examined the short-term and long-term impacts of COVID-19 on depression incidence and healthcare service use among patients with depression. Methods: Using the territory-wide electronic medical records in Hong Kong, we identified all patients aged ≥ 10 years with new diagnoses of depression from 2014 to 2022. We performed an interrupted time-series (ITS) analysis to examine changes in incidence of medically attended depression before and during the pandemic. We then divided all patients into nine cohorts based on year of depression incidence and studied their initial and ongoing service use patterns until the end of 2022. We applied generalized linear modeling to compare the rates of healthcare service use in the year of diagnosis between patients newly diagnosed before and during the pandemic. A separate ITS analysis explored the pandemic impact on the ongoing service use among prevalent patients with depression. Results: We found an immediate increase in depression incidence (RR = 1.21, 95% CI: 1.10–1.33, p < 0.001) in the population after the pandemic began with non-significant slope change, suggesting a sustained effect until the end of 2022. Subgroup analysis showed that the increases in incidence were significant among adults and the older population, but not adolescents. Depression patients newly diagnosed during the pandemic used 11% fewer resources than the pre-pandemic patients in the first diagnosis year. Pre-existing depression patients also had an immediate decrease of 16% in overall all-cause service use since the pandemic, with a positive slope change indicating a gradual rebound over a 3-year period. Conclusions: During the pandemic, service provision for depression was suboptimal in the face of increased demand generated by the increasing depression incidence during the COVID-19 pandemic. Our findings indicate the need to improve mental health resource planning preparedness for future public health crises. [ABSTRACT FROM AUTHOR]

Objective: There is a socioeconomic gradient to depression risks, with more pronounced inequality amid macroenvironmental potential traumatic events. Between mid-2019 and mid-2020, the Hong Kong population experienced drastic societal changes, including the escalating civil unrest and the COVID-19 pandemic. We examined the change of the socioeconomic gradient in depression and the potential intermediary role of daily routine disruptions. Method: We conducted repeated territory-wide telephone surveys in July 2019 and July 2020 with 1112 and 2034 population-representative Cantonese-speaking Hong Kong citizens above 15 years old, respectively. Stratified by year, we examined the association between socioeconomic indicators (education attainment, household income, employment status and marital status) and probable depression (nine-item Patient Health Questionnaire [PHQ-9] ⩾ 10) using logistic regression. Differences in the socioeconomic gradient between 2019 and 2020 were tested. Finally, we performed a path analysis to test for the mediating role of daily routine disruptions. Results: Logistic regression showed that higher education attainment in 2019 and being married in 2020 were protective against probable depression. Interaction analysis showed that the inverse association of higher education attainment with probable depression attenuated in 2020 but that of being married increased. Path analysis showed that the mediated effects through daily routine disruptions accounted for 95.9% of the socioeconomic gradient of probable depression in 2020, compared with 13.1% in 2019. Conclusion: From July 2019 to July 2020, the mediating role of daily routine disruptions in the socioeconomic gradient of depression in Hong Kong increased. It is thus implied that infection control measures should consider the relevant potential mental health impacts accordingly. [ABSTRACT FROM AUTHOR]

Background: Depression symptoms are significantly associated with an increased risk of cardiovascular disease (CVD). However, understanding of the magnitude of the association between depression duration and risk of CVD is limited. Therefore, we aimed to assess whether a longer duration of exposure to depression is associated with a higher risk of new-onset CVD.Methods: We conducted a territory-wide retrospective cohort study among patients (≥ 10 years old) with depression diagnosed between January and December 2014 in Hong Kong. The observation period spanned January 1, 2014, to December 31, 2019, and all participants had no CVD at baseline. Incidence of CVD was calculated. We used Cox proportional hazard regression to adjust confounders and estimate hazard ratios of CVD risk.Results: Among 11,651 participants with depression, 1306 (11.2%) individuals developed CVD. Multi-adjusted models showed individuals with depression duration of 2-5 years (Hazard Ratios [HRs]: 1.38 [95% confidence interval (CI): 1.19-1.60]) and ≥6 years (1.45 [1.25-1.68]) had a significantly escalated risk of developing CVD, compared to those with depression within one year. Stratified analyses indicated that the association was prominent in women and those under 65 years old.Limitations: Lack of depression severity information and the small sample size in some subgroup analyses.Conclusions: Longer exposure to depression is associated with significant increased risk of CVD. The interplay between mental and vascular health emphasizes the need for CVD prevention in patients with long-term depression. [ABSTRACT FROM AUTHOR]