Smartphone-based versus traditional face-to-face collaborative care for community-dwelling older adults living with dementia in China: protocol for an implementation science-based sequential multiple assignment randomised trial.

INTRODUCTION: The high costs of institutional care and the burdensome demands of home care are challenging for families of adults with dementia. The collaborative care model (CCM) provides a potential solution to these challenges. Leveraging advancements in mobile technologies, smartphone-based management could offer a feasible means of providing collaborative care in a community setting. Therefore, this study aims to establish a CCM for home-cared older adults with dementia to determine the best strategy to deliver collaborative care, including both the channel and frequency of delivery. METHODS AND ANALYSIS: This study will be conducted in the communities of Chengdu city, Sichuan province, China. It is designed under the framework of implementation science. In the first stage, intervention strategies for community-dwelling older adults with dementia and their caregivers will be developed using Delphi methods and focus group interviews. The second stage will involve designing a sequential multiple assignment randomised trial to compare the effectiveness of face-to-face intervention versus a WeChat mini program-based intervention. This comparison will involve 358 pairs of older adults with dementia and their caregivers, with the frequency of intervention also assessed. Follow-up evaluations will be implemented at the 6th, 12th and 18th months post-intervention initiation. Primary outcomes encompass the proportion of patients demonstrating an improvement in quality of life and the proportion of caregivers exhibiting a reduction in caregiver burden. Analysis will be based on the intention-to-treat principle, and the generalised estimating equation approach will be used. Incremental cost-effectiveness ratios will be used to evaluate the cost-effectiveness of different delivery methods and frequencies. ETHICS AND DISSEMINATION: This study has received approval from the Ethics Committee of West China Fourth Hospital/School of Public Health, Sichuan University (Gwll2022004). Informed consent will be obtained for all participants. The findings of the study will be disseminated through peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER: ChiCTR2200057945.

Systematic evaluation of the associations between mental disorders and dementia: An umbrella review of systematic reviews and meta-analyses.

BACKGROUND: Increasing evidence support the correlation between mental disorders and the likelihood of developing dementia. We aim to conduct an umbrella review to assess the risk of dementia in patients with eight mental disorders. METHODS: We searched PubMed, Embase, Web of science, CNKI, VIP, and Wanfang databases from inception to October 29, 2021. For each included meta-analysis, the effect size with a 95% confidence interval was estimated using either a random effect model or a fixed effect model, and between-study heterogeneity was expressed by I2 and Cochran's Q test. The ROBIS tool was used to assess the risk of bias. RESULTS: A total of ten systematic reviews were included. Among these studies, we identified seven risk factors, including anxiety disorder, bipolar disorder, depression, late-life depression, post-traumatic stress disorder, schizophrenia, and sleep disorder. Light to moderate alcohol drinking was identified as a protective factor. The evaluation results of the ROBIS tool showed that nine systematic reviews had high risk of bias and one had low risk of bias. The strength of evidence supporting the associations between late-life depression and all-cause dementia, Alzheimer's disease, and vascular dementia was high; the strength of evidence supporting the association between depression and all-cause dementia was moderate. LIMITATIONS: Most associations had low strength of evidence and high risk of bias. CONCLUSIONS: This umbrella review shows that high and moderate evidence supports the associations between some mental disorders and dementia. More cohort studies are needed to support the associations between mental disorders and dementia.

Establishing cut-off scores for the self-rating AD8 based on education level.

This study aimed to explore the threshold of self-rating AD8 in mild cognitive impairment (MCI) and dementia screening among community-dwelling older adults with and without education. 523 participants in Chengdu, China, were recruited: 346 with normal cognitive function, 160 with MCI and 17 with dementia. At the cut-off score of 2, the area under the receiver operator characteristic curves (AUC) of self-rating AD8 for MCI and dementia screening was 0.607 and 0.931 regardless of educational level, respectively. Grouping by educational level, the cut-off in MCI screening was 1 for literate (AUC=0.662) and 2 for illiterate individuals (AUC=0.588). For dementia screening, the cut-off was 2 for illiterate (AUC=0.912) and 4 for literate individuals (AUC=0.963). We concluded that the self-rating AD8 was ideal for dementia screening in community-dwelling older adults, with a cut-off score of 2 for illiterate and 4 for literate people, while its effectiveness for MCI screening required further evaluation.

Heterogeneity in the dynamic change of cognitive function among older Chinese people: A growth mixture model.

OBJECTIVES: Our aim is to distinguish different trajectories of cognitive change in Chinese geriatric population and identify risk factors for cognitive decline in each subpopulation. METHODS: We obtained data from five waves (2002, 2005, 2008, 2011, 2014) of the Chinese Longitudinal Health Longevity Survey, using the Chinese Mini-Mental State Examination (C-MMSE) as a proxy for cognitive function. We applied growth mixture modeling (GMM) to identify heterogeneous subpopulations and potential risk factors. RESULTS: Our sample included 3859 older adults, 1387 (48.7%) male and 1974 (51.2%) female with age range of 62 to 108 (average of 74.5) at initial survey. Using GMM and best fit statistics, we identified two distinct subgroups in respect to their longitudinal cognitive function: (a) cognitively stable (87.8%) group with 0.49 C-MMSE points decline per 3 years, and (b) cognitively declining (12.2%) group with 6.03 C-MMSE points decline per 3 years. Of note, cognitive activities were protective, and hearing and visual impairments were risk factors in both groups. Diabetes, hypertension, stroke and cardiovascular disease were associated with cognitive decline in the cognitively declining group. Physical activities, and intake of fresh vegetables, fruits, and fish products were protective in the cognitively stable group. CONCLUSIONS: Using GMM, we identified heterogeneity in trajectories of cognitive change in older Chinese people. Moreover, we found risk factors specific to each subgroup, which should be considered in future studies.

The temporal trend and distribution characteristics in mortality of Alzheimer's disease and other forms of dementia in China: Based on the National Mortality Surveillance System (NMS) from 2009 to 2015.

BACKGROUND: China is experiencing rapid age, which will lead to increasing burden of age-related diseases, such as Alzheimer disease and other forms of dementia. OBJECTIVES: The aim of this study was to 1) Explore the temporal trend of mortality of Alzheimer disease (AD) and other forms of dementia in China and 2) Analyze its geographic variations and urban-rural differences and calculate the years of life lost (YLLs) from AD and other forms of dementia. DATA AND METHODS: Data were extracted from the National Mortality Surveillance System (NMS). Age-standardized mortalities were calculated with the Western Grade 26 Standard Life List, and the YLLs were calculated using the DALY template provided by the WHO / World Bank global burden of disease (GBD) Working Group. The trends in crude and age-standardized mortality of AD and other forms of dementia were examined using Cochran-Armitage trend test. RESULTS: In China, the crude mortality from AD and other forms of dementia increased from 2009 to 2015, but the age-standardized mortality decreased. The YLLs of AD and other forms of dementia increased during the study period. The age-standardized mortality in the east was higher than those in the west and middle regions, and the age-standardized mortality in rural areas was higher than that in urban areas. CONCLUSION: In China, the age-standardized mortality of AD and other forms of dementia decreased from 2009 to 2015. However, the disease burden from AD and other forms of dementia is becoming heavier due to increasing elderly population. Moreover, there were geographic variations and urban-rural differences in mortality of AD and other forms of dementia in China.

Childhood adversities and mid-late depressive symptoms over the life course: Evidence from the China health and retirement longitudinal study.

BACKGROUND: The cumulative effect of childhood adversities on depressive symptoms in later life is well documented. However, there is a dearth of accurate information about this effect among Chinese population. The aim of this study is to examine the cumulative effect of childhood adversities on mid-late depressive symptoms in the Chinese population. METHODS: Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS). We included 17,425 respondents aged 45 and over, and retrospectively collected information of childhood adversities. The depressive symptoms were assessed using a 10-item Center for Epidemiologic Studies Depression Scale (CES-D). A structural equation model was employed for analysis. RESULTS: Parental mental health problems had a direct effect on mid-late depressive symptoms (ß = 0.180, P < 0.001). Lack of friends showed direct effect on mid-late depressive symptoms (ß = 0.118, P < 0.001) and indirect effect through low SES and poor health status in mid-late life (ß = 0.054, P < 0.001). Poor health status, child neglect and abuse, and low SES in childhood had an indirect effect on mid-late depressive symptoms (ß = 0.128, ß = 0.040, ß = 0.098, P < 0.001). LIMITATIONS: Limitations of this study include recall bias on life course data collection, absence of adolescent data, limited construction of latent variables. CONCLUSIONS: These findings are crucial for preventing childhood adversities and subsequently reducing the prevalence of depression. Moreover, the indirect effects of childhood adversities suggest that early intervention and resource mobilization can circumvent some of the long-term mental health consequences.