Associations between depressive symptoms and being employed or retired in older adults with type 2 diabetes

Internet accessibility and incident depressive symptoms in middle aged and older adults in China: A national longitudinal cohort study

BACKGROUND

With the rapid development of the Internet over the past ten years, its widespread applications and accessibility may cause dynamic changes in the association between internet use and depressive symptoms.

OBJECTIVE

We aim to explore the association between internet accessibility (including broadband connection, internet use, frequency, and devices for internet use), as well as its changes, and the risk of incident depressive symptoms for middle aged and older adults based on a cohort study.

METHODS

8772 participants with three repeat waves of follow-up (average 6.04 years) were included. Cox proportional hazards regressions were used to explore risk effects. Hazard ratios (HRs) and 95 % Confidence Intervals [CI] were presented.

RESULTS

Incidence density for depressive symptoms was 53.89 for every 1000 person-years. The rate of internet usage by middle aged and older adults in China increased evidently from 2012 to 2018 (16.39 % vs 77.41 %). Broadband internet connection (BIC) (HR = 0.80, 95%CI: 0.71, 0.90) and moderate frequency of internet use (IU) (HR = 0.30, 95%CI: 0.10, 0.92) were associated with decreased risk of depressive symptoms. Participants who changed from no internet accessibility to internet accessibility were associated with a lower risk of depressive symptoms (BIC: HR = 0.46, 95%CI: 0.41, 0.51; IU: HR = 0.42, 95%CI: 0.34, 0.51). Using large screen devices (HR = 0.64, 95%CI: 0.45, 0.91) for internet access, instead of phones, was associated with lower risk of depressive symptoms.

CONCLUSIONS

Older adults should be encouraged to use the Internet; online time, frequency, and devices for internet use should be considered simultaneously.

Trajectories and Determinants of Physical Activity during COVID-19 Pandemic: A Population-Based Study of Middle-Aged and Elderly Individuals in The Netherlands

Physical inactivity is a major public health problem, and there are concerns this might have increased during the COVID-19 pandemic. We aimed to identify distinct trajectories of physical activity over a 6-week period after the first restrictive measures and to explore determinants of these trajectories in a population-based cohort of middle-aged and elderly in the Netherlands (n = 5777). We observed that at least 59% of participants did not meet the World Health Organization recommendations for physical activity. Using latent class trajectory analyses over three time points, we identified five distinct trajectories, including four steady trajectories at different levels (very low, low, medium and high) and one increasing trajectory. Using multinomial logistic regression analyses, we observed that, compared to the ‘steadily high’ trajectory, participants in the ‘steadily very low’ trajectory were more often older, lower educated, reporting poorer physical health, more depressive symptoms, consuming a less healthy diet, smoking, and lower alcohol use, and were less often retired. A similar pattern of determinants was seen for those in the increasing trajectory, albeit with smaller effect sizes. Concluding, we observed low levels of physical activity that generally remained during the pandemic. The determinants we described can help identify groups that require additional preventive interventions.