Association between childhood adversities and adulthood depressive symptoms in South Korea: Results from a nationally representative longitudinal study

Objective To examine how childhood adversity (ie, parental death, parental divorce, suspension of school education due to financial strain or being raised in a relative\u27s house due to financial strain) is associated with prevalence and incidence of adulthood depressive symptoms and whether this association differs by gender and by age in South Korea. Design Prospective cohort design. Setting Nationally representative longitudinal survey in South Korea. Participants 11 526 participants in South Korea. Outcome measure Prevalence and incidence of adulthood depressive symptoms were assessed as a dichotomous variable using the Centers for Epidemiologic Studies Depression (CES-D) Scale in 2006 and 2007. Results In the prevalence analysis, each of the four childhood adversities was significantly associated with a higher prevalence of adulthood depressive symptoms. The higher incidence of depressive symptoms was associated with suspension of school education (OR 1.55, 95% CI 1.32 to 1.82) and parental divorce (OR 1.65, 95% CI 1.00 to 2.71). In the age-stratified analyses, prevalence of depressive symptoms was associated with all CAs across different adulthoods, except for parental divorce and late adulthood depressive symptoms. After being stratified by gender, the association was significant for parental divorce (OR 3.76, 95% CI 2.34 to 6.03) in the prevalence analysis and for being raised in a relative’s house (OR 1.89, 95% CI 1.21 to 2.94) in the incidence analysis only among women. Conclusions This study suggests that childhood adversity may increase prevalence and incidence of adulthood depressive symptoms, and the impact of parental divorce or being raised in a relative\u27s house due to financial strain on adulthood depressive symptoms may differ by gender

Implementing care for healthy ageing

The WHO concept of Healthy Ageing (ie, the process of developing and maintaining the functional ability that enables well-being in older age) has initiated a global discussion about the need for shifting paradigms to reorient health and social services towards person-centred and coordinated models of care. In particular, the integration of health and social care services is critical to provide the basis for comprehensive information sharing and service delivery to support the evolution of the older person over time. The capability to monitor and respond to an older person’s changing health and social care needs will enable prompt and personalised health and social care plans to be implemented.The implementation of an integrated care approach involves all the settings where persons age, but also requires a concerted action among micro (clinical), meso (service delivery) and macro (system) level. The community is of particular relevance given the primary objective of ageing in place. However, from the perspective of the continuum of care and services acting synergistically, all health and social care settings (including long-term care facilities and hospitals) need to evolve and embrace an integrated way of operating to support functional ability in older people, while maximising resource and information sharing efficiencies.In this paper, we explain that government actions to promote well-being in older age should be built on a seamless continuum of care starting from the assessment of the older person’s intrinsic capacity and functional ability with the final aim of providing care aligned with the individual’s needs and priorities

Artificial intelligence for older people receiving long-term care:a systematic review of acceptability and effectiveness studies

Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-term care (LTC) services for older people. However, the research field is developmental and has yet to be systematically synthesised. This systematic review aimed to synthesise the literature on the acceptability and effectiveness of AI-enhanced interventions for older people receiving LTC services. We conducted a systematic search that identified 2720 records from Embase, Ovid, Global Health, PsycINFO, and Web of Science. 31 articles were included in the review that evaluated AI-enhanced social robots (n=22), environmental sensors (n=6), and wearable sensors (n=5) with older people receiving LTC services across 15 controlled and 14 non-controlled trials in high-income countries. Risk of bias was evaluated using the RoB 2, RoB 2 CRT, and ROBINS-I tools. Overall, AI-enhanced interventions were found to be somewhat acceptable to users with mixed evidence for their effectiveness across different health outcomes. The included studies were found to have high risk of bias which reduced confidence in the results. AI-enhanced interventions are promising innovations that could reshape the landscape of LTC globally. However, more trials are required to support their widespread implementation. Pathways are needed to support more high-quality trials, including in low-income and middle-income countries