Association between tooth loss-related speech and psychosocial impairment with cognitive function: A pilot study in Hong Kong's older population.

BACKGROUND: Tooth loss has been associated with cognitive decline, but the underlying mechanisms involving speech and psychosocial impairment remain unclear. OBJECTIVES: To investigate the impact of tooth loss-related speech and psychosocial impairment on cognitive function in Hong Kong's older population. METHODS: Seventy-six Cantonese-speaking participants between the ages of 51-92 were classified into three groups: patients with complete dentures (CD), partially edentulous patients with less than 10 occluding tooth pairs (OU <10), and at least 10 occluding tooth pairs (OU ≥10). Cognitive function was assessed using the Montreal Cognitive Assessment Hong Kong Version, One-minute Verbal Fluency Task and Hayling Sentence Completion Test. Objective and subjective speech assessments were carried out using artificial intelligence speech recognition algorithm and a self-designed speech questionnaire. The impact of tooth loss on psychosocial condition was evaluated by the Reading the Mind in the Eyes Test and a self-designed questionnaire. Statistical analyses (one-way ANOVA, ANCOVA, Kruskal-Wallis test, Spearman correlation test) were performed. RESULTS: Tooth loss was significantly associated with lower cognitive function (p = .008), speech accuracy (p = .018) and verbal fluency (p = .001). Correlations were found between cognitive function and speech accuracy (p < .0001). No significant difference in tooth loss-related psychosocial impact was found between the three groups. CONCLUSION: While warranting larger sample sizes, this pilot study highlights the need for further research on the role of speech in the association between tooth loss and cognitive function. The potential cognitive impact of tooth retention, together with its known biological and proprioceptive benefits, supports the preservation of the natural dentition.

Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning study.

Background: By combining theory-driven and data-driven methods, this study aimed to develop dementia predictive algorithms among Chinese older adults guided by the cognitive footprint theory. Methods: Electronic medical records from the Clinical Data Analysis and Reporting System in Hong Kong were employed. We included patients with dementia diagnosed at 65+ between 2010 and 2018, and 1:1 matched dementia-free controls. We identified 51 features, comprising exposures to established modifiable factors and other factors before and after 65 years old. The performances of four machine learning models, including LASSO, Multilayer perceptron (MLP), XGBoost, and LightGBM, were compared with logistic regression models, for all patients and subgroups by age. Findings: A total of 159,920 individuals (40.5% male; mean age [SD]: 83.97 [7.38]) were included. Compared with the model included established modifiable factors only (area under the curve [AUC] 0.689, 95% CI [0.684, 0.694]), the predictive accuracy substantially improved for models with all factors (0.774, [0.770, 0.778]). Machine learning and logistic regression models performed similarly, with AUC ranged between 0.773 (0.768, 0.777) for LASSO and 0.780 (0.776, 0.784) for MLP. Antipsychotics, education, antidepressants, head injury, and stroke were identified as the most important predictors in the total sample. Age-specific models identified different important features, with cardiovascular and infectious diseases becoming prominent in older ages. Interpretation: The models showed satisfactory performances in identifying dementia. These algorithms can be used in clinical practice to assist decision making and allow timely interventions cost-effectively. Funding: The Research Grants Council of Hong Kong under the Early Career Scheme 27110519.

Association of dietary inflammation with tooth loss and cognitive decline in older adults from cross-sectional data: The moderated role of albumin.

OBJECTIVE: Growing evidence suggests a potential connection between tooth loss and cognitive function in recent years. Increasing studies have focused on their inter-relationship, however, the underlying mechanism has yet to be fully elucidated. Few studies have considered the role of dietary inflammation and serum albumin in the association between tooth loss and cognitive function. Therefore, the aim of this study was to explore the role of dietary inflammation and serum albumin in the association between tooth loss and cognitive impairment. METHODS: A sample of 1,009 US adults from the National Health and Nutrition Examination Survey (NHANES) provided data on oral condition, cognitive function, dietary intake, and serum tests. The association between tooth loss (exposure variable) and cognitive function (outcome variable) was assessed by linear regression. Furthermore, a moderated mediation model was established to examine the influence of dietary inflammation on the association between tooth loss and cognitive tests, and the visualization of the moderating effect of serum albumin concentration was displayed through the Johnson-Neyman curve. RESULTS: Participants with impaired dentition had worse cognitive function and a higher Dietary Inflammation Index (DII). DII was highly correlated with Immediate Recall Test (IR), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST), which mediated 16.46 %, 14.41 % and 11.28 % of the effect between tooth loss and cognitive functions. Additionally, the relationship between DII and DSST was moderated by serum albumin concentration. CONCLUSION: Tooth loss was associated with cognitive function which was affected by pro-inflammatory dietary patterns and serum albumin level. CLINICAL SIGNIFICANCE: This study presents evidence for dentists that dietary pattern change due to tooth loss plays a role in cognitive deterioration, which can also be moderated by serum albumin level. Therefore, the preservation of natural teeth is important for cognitive function, especially in an immunocompromised population with decreased serum albumin concentrations.

Non-Pharmacological Interventions for Chronic Pain in Older Adults: A Systematic Review and Meta-Analysis.

BACKGROUND AND OBJECTIVES: Gate control theory and fear-avoidance model of chronic pain posit that biopsychosocial factors can modulate pain. Non-pharmacological interventions are recommended in managing chronic pain, but little information is available regarding their efficacy in older adults. We examined and compared the efficacy of different non-pharmacological intervention approaches for chronic pain management among older adults via meta-analysis and subgroup analysis. RESEARCH DESIGN AND METHODS: Following the PRISMA guidelines (PROSPERO number CRD42020222767), a systematic search was undertaken using MEDLINE, Embase, and PsycINFO up to 21 March 2022. Randomized controlled trials were included, and data were pooled using a random-effects meta-analysis model. Risk of bias was assessed using a quality rating scale for psychological interventions. RESULTS: Twenty-five trials (N = 2394 participants) were identified. Six types of non-pharmacological interventions were compared with control conditions (sham/attention control and treatment as usual). Non-pharmacological interventions were associated with significant reductions in pain intensity, pain interference, depressive symptoms and catastrophizing beliefs and improvement in physical performance (standardized mean differences [SMDs] -0.34 to 0.54). Subgroup analyses based on different non-pharmacological approaches revealed the benefits of psychological approaches combined with physical activity. DISCUSSION AND IMPLICATIONS: Non-pharmacological interventions, particularly those adopting psychological approaches and physical activity, have a small but statistically significant effect on chronic pain management in older adults. Reduction in pain interference may be related to reduced catastrophizing beliefs, thus providing support for the fear-avoidance model. Further research with adequate power is needed to establish the efficacy and mechanism of various intervention modalities for older adults.

Sad Mood Bridges Depressive Symptoms and Cognitive Performance in Community-Dwelling Older Adults: A Network Approach.

Background and Objectives: Depression and cognitive impairment are common and often coexist in older adults. The network theory of mental disorders provides a novel approach to understanding the pathways between depressive symptoms and cognitive domains and the potential "bridge" that links and perpetuates both conditions. This study aimed to identify pathways and bridge symptoms between depressive symptoms and cognitive domains in older adults. Research Design and Methods: Data were derived from 2,792 older adults aged 60 years and older with mild and more severe depressive symptoms from the community in Hong Kong. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9) and cognition using the Montreal Cognitive Assessment 5-minute protocol (MoCA-5min). Summary descriptive statistics were calculated, followed by network estimation using graphical LASSO, community detection, centrality analysis using bridge expected influence (BEI), and network stability analyses to assess the structure of the PHQ-9 and MoCA-5min items network, the pathways, and the bridge symptoms. Results: Participants (mean age = 77.3 years, SD = 8.5) scored 8.2 (SD = 3.4) on PHQ-9 and 20.3 (SD = 5.4) on MoCA-5min. Three independent communities were identified in PHQ-9 and MoCA-5min items, suggesting that depression is not a uniform entity (2 communities) and has differential connections with cognition. The network estimation results suggested that the 2 most prominent connections between depressive symptoms and cognitive domains were: (1) anhedonia with executive functions/language and (2) sad mood with memory. Among all depressive symptoms, sad mood had the highest BEI, bridging depressive symptoms and cognitive domains. Discussion and Implications: Sad mood seems to be the pathway between depression and cognition in this sample of older Chinese. This finding highlights the importance of sad mood as a potential mechanism for the co-occurrence of depression and cognitive impairment, implying that intervention targeting sad mood might have rippling effects on cognitive health.

Projecting the 10-year costs of care and mortality burden of depression until 2032: a Markov modelling study developed from real-world data.

Background: Based on real-world data, we developed a 10-year prediction model to estimate the burden among patients with depression from the public healthcare system payer's perspective to inform early resource planning in Hong Kong. Methods: We developed a Markov cohort model with yearly cycles specifically capturing the pathway of treatment-resistant depression (TRD) and comorbidity development along the disease course. Projected from 2023 to 2032, primary outcomes included costs of all-cause and psychiatric care, and secondary outcomes were all-cause deaths, years of life lived, and quality-adjusted life-years. Using the territory-wide electronic medical records, we identified 25,190 patients aged ≥10 years with newly diagnosed depression from 2014 to 2016 with follow-up until 2020 to observe the real-world time-to-event pattern, based on which costs and time-varying transition inputs were derived using negative binomial modelling and parametric survival analysis. We applied the model as both closed cohort, which studied a fixed cohort of incident patients in 2023, and open cohort, which introduced incident patients by year from 2014 to 2032. Utilities and annual new patients were from published sources. Findings: With 9217 new patients in 2023, our closed cohort model projected the 10-year cumulative costs of all-cause and psychiatric care to reach US$309.0 million and US$58.3 million, respectively, with 899 deaths (case fatality rate: 9.8%) by 2032. In our open cohort model, 55,849-57,896 active prevalent cases would cost more than US$322.3 million and US$60.7 million, respectively, with more than 943 deaths annually from 2023 to 2032. Fewer than 20% of cases would live with TRD or comorbidities but contribute 31-54% of the costs. The greatest collective burden would occur in women aged above 40, but men aged above 65 and below 25 with medical history would have the highest costs per patient-year. The key cost drivers were relevant to the early disease stages. Interpretation: A limited proportion of patients would develop TRD and comorbidities but contribute to a high proportion of costs, which necessitates appropriate attention and resource allocation. Our projection also demonstrates the application of real-world data to model long-term costs and mortality, which aid policymakers anticipate foreseeable burden and undertake budget planning to prepare for the care need in alternative scenarios. Funding: Research Impact Fund from the University Grants Committee, Research Grants Council with matching fund from the Hong Kong Association of Pharmaceutical Industry (R7007-22).

Hybrid-delivered community psychoeducation for people aged 50 and older: A mixed-method evaluation and lesson learned.

Introduction: Hybrid training mode comprising in-person and teleconferencing sessions is effective and sustainable, yet no standardized principles guide its development for older people. This study aimed to develop a set of principles for hybrid-mode psychoeducation for older people from the experiences of middle-aged and older people in two folds: (1) examining the effects of hybrid-mode community psychoeducation and (2) identifying features that could enhance participants' experience. Methods: We delivered 12-hour Older Person Mental Health First Aid and 3-hour late-life depression training to adults aged 50 and older in in-person and hybrid modes. Hybrid group participants received technology-related support, including in-advance training and on-site support. All participants completed assessments on depression literacy, depression stigma, meaning in life, social support, depressive symptoms, and anxiety pre-and post-intervention and evaluated the program in open-ended questions. Results: A total of 471 in-person and 346 hybrid group participants completed the psychoeducation and post-assessment (80.4 % female, mean age = 64.73 years, SD = 7.29). Linear mixed models revealed improvements in depression literacy, depression stigma, meaning in life, social support, and anxiety (B = -1.43 to 0.13, all p < .001), with no significant difference between in-person and hybrid groups. Thematic analysis of open-ended questions identified three themes: (1) informational content with case studies, (2) hardcopy course handouts, and (3) interactive learning environment. Discussion/conclusion: Hybrid-mode and in-person psychoeducation had comparable benefits on middle-aged and older people. The TORCH principles, an acronym for Technology provision, On-site technical support, Rehearsal, Connection with group members, and Hardcopy notes, was derived from practice wisdom and qualitative findings to support older people in online learning.

A core competency framework for mental health peer supporters of older adults in a Chinese community: cross-culturally informed Delphi study.

AIMS AND METHOD: Non-Western literature on the core competencies of mental health peer supporters remains limited. Therefore, we used a three-round Delphi study with peer supporters, service users (i.e. someone using peer support services) and mental health professionals to develop a core competency framework for peer supporters in the Chinese context. RESULTS: The final framework included 35 core competencies, the conceptual origins of which were local (14.3%), Western (20%) and both local and Western (65.7%). They were grouped into five categories in ascending peer supporter role specificity: (1) self-care and self-development, (2) general work ethics, (3) work with others, (4) work with service users and (5) peer support knowledge. CLINICAL IMPLICATIONS: A culturally valid mental health peer support competency framework can minimise role confusion and refine training and practice guidelines. In a Chinese context, peer supporters were valued as generic support companions, whereas functions highlighted in the West, such as role modelling, were perceived as less critical.

Stigma towards mental illness, resilience, and help-seeking behaviours in undergraduate students in Hong Kong.

AIM: Early interventions have great impact on reducing burden of mental illness. Young people are however the least likely to seek help for psychological issues. Resilience and stigma towards mental illness have been identified as contributing factors, although previous findings were mixed with potentially complex interaction with symptom severity. We investigated the relationship between stigma, resilience, depressive symptom severity, and help-seeking behaviours in undergraduate students in Hong Kong. METHODS: A cross-sectional online survey was conducted among undergraduates from a university in Hong Kong (n = 945). The 21-item Stigma and Acceptance Scale, Connor-Davidson Resilience Scale, and the Patient Health Questionnaire-9 were used. History of help-seeking for psychological issues was self-reported. Path analysis was conducted to test a conceptual model of their relationships. RESULTS: Among those with moderate-to-severe depressive symptoms (39.5%), only one-fourth had sought professional help. The path model showed that depressive symptom severity and stigma were positively associated with help-seeking behaviours, while resilience was negatively associated with help-seeking behaviours independently (all p < .001). Subgroup analyses showed differential contribution of stigma and resilience to a history of help-seeking in those with minimal-to-mild symptoms compared with moderate-to-severe symptoms. CONCLUSIONS: Stigma may be a barrier for help-seeking particularly in students with moderate-to-severe depression. Higher levels of resilience in young people may be protective and reduce the unnecessary seeking of professional help. Therefore, enhancing resilience among students in general, and reducing stigma and promoting help-seeking behaviours for those who have moderate-to-severe symptoms should be consider in parallel as strategies to enhance mental wellbeing of students.

Spoken discourse in episodic autobiographical and verbal short-term memory in Chinese people with dementia: the roles of global coherence and informativeness.

Introduction: Memory and discourse production are closely related in healthy populations. A few studies in people with amnestic mild cognitive impairment and people with dementia (PWD) suggested similar links, although empirical evidence is insufficient to inform emerging intervention design and natural language processing research. Fine-grained discourse assessment is needed to understand their complex relationship in PWD. Methods: Spoken samples from 104 PWD were elicited using personal narrative and sequential picture description and assessed using Main Concept Analysis and other content-based analytic methods. Discourse and memory performance data were analyzed in bivariate correlation and linear multiple regression models to determine the relationship between discourse production and episodic autobiographical memory and verbal short-term memory (vSTM). Results: Global coherence was a significant predictor of episodic autobiographical memory, explaining over half of the variance. Both episodic autobiographical memory and vSTM were positively correlated with global coherence and informativeness, and negatively with empty speech indices. Discussion: Coherence in personal narrative may be supported by episodic autobiographical memory and vice versa, suggesting potential mechanism of interventions targeting personhood through conversation. Indices of global coherence, informativeness, and empty speech can be used as markers of memory functions in PWD.

Impact of community mental health services on the adult psychiatric admission through the emergency unit: a 20-year population-based study.

Background: There is a lack of real-life population-based study examining the effect of community mental health services on psychiatric emergency admission. In Hong Kong, Integrated Community Center for Mental Wellness (ICCMW) and telecare service were introduced in 2009 and 2012, respectively. We examined the real-life impact of these services on psychiatric emergency admissions over 20 years. Methods: Number of psychiatric emergency admissions between 2001 and 2020 was retrieved from the Hong Kong Clinical Data Analysis & Reporting System. We used an interrupted time series analysis to examine monthly psychiatric admission trend before and after service implementation, considering socioeconomic and environmental covariates. Findings: A total of 108,492 psychiatric emergency admissions (47.8% males; 64.9% aged 18-44 years) were identified from the study period, of which 56,858, 12,506, 12,295, 11,791, and 15,051 were that for schizophrenia-spectrum disorders, bipolar affective disorders, unipolar mood disorders, neuroses, and substance use disorders. ICCMW introduction has an immediate effect on psychiatric emergency admission (adjusted estimate per 100,000: -10.576; 95% CI, -16.635 to -4.518, p < 0.001), particularly among adults aged 18-44 years (-8.543; 95% CI, -13.209 to -3.877, p < 0.001), females (-5.843; 95% CI, -9.647 to -2.039, p = 0.003), and with neuroses (-3.373; 95% CI, -5.187 to -1.560, p < 0.001), without a significant long-term effect. Unemployment, seasonality, and infectious disease outbreak were significant covariates. Interpretation: ICCMW reduced psychiatric emergency admission, but no further reduction following full implementation. Community mental health services should be dynamically tailored for different populations and socioeconomic variations over time. Funding: None.

Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis.

BACKGROUND: Anhedonia and depressed mood are considered the cardinal symptoms of major depressive disorder. These are the first 2 items of the Patient Health Questionnaire (PHQ)-9 and comprise the ultrabrief PHQ-2 used for prescreening depressive symptomatology. The prescreening performance of alternative PHQ-9 item pairings is rarely compared with that of the PHQ-2. OBJECTIVE: This study aims to use machine learning (ML) with the PHQ-9 items to identify and validate the most predictive 2-item depressive symptomatology ultrabrief questionnaire and to test the generalizability of the best pairings found on the primary data set, with 6 external data sets from different populations to validate their use as prescreening instruments. METHODS: All 36 possible PHQ-9 item pairings (each yielding scores of 0-6) were investigated using ML-based methods with logistic regression models. Their performances were evaluated based on the classification of depressive symptomatology, defined as PHQ-9 scores ≥10. This gave each pairing an equal opportunity and avoided any bias in item pairing selection. RESULTS: The ML-based PHQ-9 items 2 and 4 (phq2&4), the depressed mood and low-energy item pairing, and PHQ-9 items 2 and 8 (phq2&8), the depressed mood and psychomotor retardation or agitation item pairing, were found to be the best on the primary data set training split. They generalized well on the primary data set test split with area under the curves (AUCs) of 0.954 and 0.946, respectively, compared with an AUC of 0.942 for the PHQ-2. The phq2&4 had a higher AUC than the PHQ-2 on all 6 external data sets, and the phq2&8 had a higher AUC than the PHQ-2 on 3 data sets. The phq2&4 had the highest Youden index (an unweighted average of sensitivity and specificity) on 2 external data sets, and the phq2&8 had the highest Youden index on another 2. The PHQ-2≥2 cutoff also had the highest Youden index on 2 external data sets, joint highest with the phq2&4 on 1, but its performance fluctuated the most. The PHQ-2≥3 cutoff had the highest Youden index on 1 external data set. The sensitivity and specificity achieved by the phq2&4 and phq2&8 were more evenly balanced than the PHQ-2≥2 and ≥3 cutoffs. CONCLUSIONS: The PHQ-2 did not prove to be a more effective prescreening instrument when compared with other PHQ-9 item pairings. Evaluating all item pairings showed that, compared with alternative partner items, the anhedonia item underperformed alongside the depressed mood item. This suggests that the inclusion of anhedonia as a core symptom of depression and its presence in ultrabrief questionnaires may be incompatible with the empirical evidence. The use of the PHQ-2 to prescreen for depressive symptomatology could result in a greater number of misclassifications than alternative item pairings.

Differential Associations Between Depressive Symptom-Domains With Anxiety, Loneliness, and Cognition in a Sample of Community Older Chinese Adults: A Multiple Indicators Multiple Causes Approach.

Background and Objectives: Depressive symptoms are common in older adults, and often co-occur with other mental health problems. However, knowledge about depressive symptom-domains and their associations with other conditions is limited. This study examined depressive symptom-domains and associations with anxiety, cognition, and loneliness. Research Design and Methods: A sample of 3,795 participants aged 60 years and older were recruited from the community in Hong Kong. They were assessed for depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]), anxiety (Generalized Anxiety Disorder 7-item), loneliness (UCLA 3-item), and cognition (Montreal Cognitive Assessment 5-Minute Protocol). Summary descriptive statistics were calculated, followed by confirmatory factor analysis of PHQ-9. Multiple Indicators Multiple Causes analysis was used to examine the associations between mental health conditions in the general sample and subgroups based on depressive symptom severity. Results: A 4-factor model based on the Research Domain Criteria showed the best model fit of PHQ-9 (χ2/df = 10.63, Root-Mean-Square Error of Approximation = 0.05, Comparative Fit Index = 0.96, Tucker-Lewis Index = 0.93). After adjusting for demographics, 4 depressive symptom-domains were differentially associated with anxiety, loneliness, and cognition across different depression severity groups. The Negative Valance Systems and Internalizing domain (NVS-I; guilt and self-harm) were consistently associated with anxiety (ß = 0.45, 0.44) and loneliness (ß = 0.11, 0.27) regardless of depression severity (at risk/mild vs moderate and more severe, respectively, all p < .001). Discussion and Implications: The consistent associations between the NVS-I domain of depression with anxiety and loneliness warrant attention. Simultaneous considerations of depressive symptom-domains and symptom severity are needed for designing more personalized care. Clinical Trials Registration Number: NCT03593889.

Technology Affordance in an Information and Communication Technology Delivered Group Psychotherapy and Exercise Program for Older People With Depressive Symptoms: A Multiple Triangulation Qualitative Study.

Background and Objectives: Health and mental health interventions, such as psychotherapy and exercise programs, delivered via information and communication technology (ICT) may improve service access. However, adjustment among older people and in synchronous group interventions is more challenging. Technology affordance concerns the possibilities engendered by technology for various users and purposes and can help understand challenges in ICT-delivered groups and identify possible solutions. Research Design and Methods: Adopting a multiple triangulation approach, we observed ICT-delivered groups of acceptance and commitment therapy and exercise for older people with depressive symptoms, conducted focus groups with older people who had received group psychotherapy with or without an exercise component, and obtained clinical notes from interventionists. We conducted a thematic analysis of the observation notes, focus group transcriptions, and clinical notes. Results: Four focus groups were conducted with 22 participants (mean age = 72.6 years, standard deviation = 7.2, 86% female). We identified 3 challenges: (1) seeing-be seen dilemma, (2) speaking-hearing dilemma, and (3) blurred therapy-home boundary, and 2 solutions: (1) maneuvering layouts and collaborative tools, and (2) cross-platform mediated strategies. Participants struggled to observe the interventionist while simultaneously demonstrating their posture in front of a camera. Remaining silent and moderated turn-taking allowed for clearer hearing but limited interactions. Interruptions from the background environment and intersections of family living spaces disrupted audio-visual communication and jeopardized the sense of security. As a solution, interventionists maneuvered layouts and collaborative tools on teleconferencing applications to achieve intervention goals and provided support through different media. Discussion and Implications: The identified challenges and potential solutions can be understood from interactivity, portability, temporality, persistence, and multimediality. Technology affordance can guide ICT-delivered group design by matching the affordance of various technologies and communication media with the characteristics of the intervention and users to enhance efficacy and avoid an unnecessary digital divide.

Threats to personhood from within the family? A study of family caregivers of people with dementia in the Chinese context.

BACKGROUND AND OBJECTIVES: Dementia care creates ethical and legal dilemmas due to the struggle to balance the quality of care and personhood. Disagreement and conflict in caregiving relationships are common. However, limited attention has been given to particular stressful circumstances, such as care practice and decision disagreements. Moreover, the cultural context of personhood has been overlooked. This study drew on Hong Kong family caregivers' reports of their cargiving practice and disagreements with care recipients about care-related decisions and their implications for personhood to identify person-centered family care support needs. RESEARCH DESIGN AND METHODS: We conducted 18 semi-structured interviews with family caregivers of people with dementia in Hong Kong, China. Participants were asked to share their family dementia caregiving experience and practice, specifically regarding decisions and practices that elicited disagreement. We used thematic analysis to analyze data generated from interviews. RESULTS: Six caregiver practices were identified: exchange for mutual agreement, a foot-in-the-door approach, acceptance of requests/behaviors contrary to the caregivers' views, infantilization, treachery, and exclusion and imposition. DISCUSSION AND IMPLICATIONS: These findings highlight the importance of providing support and guidelines for person-centered care to promote personhood in the family caregiving context in dementia care.

Economics and dementia: Challenges and responses.

Economics and dementia are interconnected in many ways. There is, for example, accumulating evidence of the ways in which dementia impacts on the economic status of individuals and families, on health and social care system budgets, and on national economies. An individual's economic status can affect their risk of dementia and their ability to respond to it. Governments and other strategic decision-makers are aware of the (growing, indeed urgent) need to take action - whether that is prevention, treatment or care - but also very aware of the limited resources available to them and to the general population. Research evidence can potentially inform the difficult decisions that government and others need to take. We briefly summarise some economic evaluation studies in the dementia area as a basis for identifying the main challenges of moving from evidence to better policy and practice. We then discuss some possible responses (from a range of stakeholders) to these challenges, and how the STRiDE study has sought to contribute to this fast-moving field.

Research evaluating the effectiveness of dementia interventions in low- and middle-income countries: A systematic mapping of 340 randomised controlled trials.

OBJECTIVES: More people with dementia live in low- and middle-income countries (LMICs) than in high-income countries, but best-practice care recommendations are often based on studies from high-income countries. We aimed to map the available evidence on dementia interventions in LMICs. METHODS: We systematically mapped available evidence on interventions that aimed to improve the lives of people with dementia or mild cognitive impairment (MCI) and/or their carers in LMICs (registered on PROSPERO: CRD42018106206). We included randomised controlled trials (RCTs) published between 2008 and 2018. We searched 11 electronic academic and grey literature databases (MEDLINE, EMBASE, PsycINFO, CINAHL Plus, Global Health, World Health Organization Global Index Medicus, Virtual Health Library, Cochrane CENTRAL, Social Care Online, BASE, MODEM Toolkit) and examined the number and characteristics of RCTs according to intervention type. We used the Cochrane risk of bias 2.0 tool to assess the risk of bias. RESULTS: We included 340 RCTs with 29,882 (median, 68) participants, published 2008-2018. Over two-thirds of the studies were conducted in China (n = 237, 69.7%). Ten LMICs accounted for 95.9% of included RCTs. The largest category of interventions was Traditional Chinese Medicine (n = 149, 43.8%), followed by Western medicine pharmaceuticals (n = 109, 32.1%), supplements (n = 43, 12.6%), and structured therapeutic psychosocial interventions (n = 37, 10.9%). Overall risk of bias was judged to be high for 201 RCTs (59.1%), moderate for 136 (40.0%), and low for 3 (0.9%). CONCLUSIONS: Evidence-generation on interventions for people with dementia or MCI and/or their carers in LMICs is concentrated in just a few countries, with no RCTs reported in the vast majority of LMICs. The body of evidence is skewed towards selected interventions and overall subject to high risk of bias. There is a need for a more coordinated approach to robust evidence-generation for LMICs.

The association between tooth loss and cognitive decline in the aged population: The mediating role of HDL-cholesterol.

OBJECTIVE: Tooth loss and its impact on cognitive impairment have become a heated topic over the past decade as the global population continues to age. Despite the proliferation of research in this area, the underlying mechanism linking tooth loss and cognitive decline remains poorly understood. Limited investigation has been conducted to explore the potential role of lipid metabolism and its impact on the association between tooth loss and cognitive function. This study endeavored to identify the role of high-density lipoprotein cholesterol (HDL-C) concentration among older adults and its contribution to the link between tooth loss and cognitive impairment. METHODS: Data were retrieved from a public database, namely, the National Health and Nutrition Examination Survey (NHANES). Among 1,124 included participants who were aged above 60 years old, linear regression was performed to determine the association between tooth loss (moderate and severe tooth loss) and cognitive function [Consortium to Establish a Registry for Alzheimer's Disease-Immediate Recall (CERAD-IR), Delayed Recall (CERAD-DR), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST)]. Mediation analysis was used to test the effect of HDL-C on the association of tooth numbers and four cognitive tests. RESULTS: Participants with moderate and severe tooth loss had lower scores on cognitive performance (p<0.001) and lower levels of HDL-C (p<0.05). The HDL-C levels were highly correlated with CERAD-IR and DSST, which mediated 2.11% to 5.24% of the total effect between tooth numbers and cognitive function. CONCLUSION: Tooth loss was negatively associated with cognitive function which was mediated by serum HDL-C levels. CLINICAL SIGNIFICANCE: Dentists should realize that the potential broader implications of tooth loss on overall well-being, including cognitive performance. The preservation of natural dentition might serve as a preventive measure against cognitive impairment, possibly mediated by abnormal lipid metabolism.

"Participation Is Fun and Empowering": A Participatory Approach to Co-Design a Cultural Art Program for Older Chinese at Risk of Depression in Hong Kong.

Background and Objectives: Internalized ageism and stigma of mental illness may disempower older people and impede help-seeking among those at risk of depression. Arts are deemed enjoyable, stigma-free, and conducive to mental health, and a participatory approach can engage and empower potential service users. This study aimed to co-design a cultural art program and test its feasibility in empowering older Chinese people in Hong Kong and preventing depression. Research Design and Methods: Adopting a participatory approach and guided by the Knowledge-to-Action framework, we co-designed a 9-session group art program using Chinese calligraphy as the channel for gaining emotional awareness and facilitating expression. The iterative participatory co-design process engaged 10 older people, 3 researchers, 3 art therapists, and 2 social workers through multiple workshops and interviews. We tested the program's acceptability and feasibility in 15 community-dwelling older people at risk of depression (mean age = 71.6). Mixed methods were used, including pre- and postintervention questionnaires, observation, and focus groups. Results: Qualitative findings suggest the feasibility of the program, and quantitative findings indicated its effects in increasing empowerment (t(14) = 2.82, p < .05), but not in other mental health-related measurements. Participants reflected that active participation and learning new art skills were fun and empowering, arts enabled them to gain insight into and express deeper feelings, and groups with peers made them feel relatable and accepted. Discussion and Implications: Culturally appropriate participatory arts groups can effectively promote empowerment in older people, and future research should balance eliciting meaningful personal experiences and measurable changes.

Association of Comorbidity With Healthcare Utilization in People Living With Dementia, 2010-2019: A Population-Based Cohort Study.

Evidence on the healthcare utilization associated with comorbidity in people with dementia is lacking in Chinese societies. This study aimed to quantify healthcare utilization associated with comorbidity that is common in people living with dementia. We conducted a cohort study using population-based data from Hong Kong public hospitals. Individuals aged 35+ with a dementia diagnosis between 2010 and 2019 were included. Among 88,151 participants, people with at least two comorbidities accounted for 81.2%. Estimates from negative binomial regressions showed that compared to those with one or no comorbid condition other than dementia, adjusted rate ratios of hospitalizations among individuals with six or seven and eight or more conditions were 1.97 [98.75% CI, 1.89-2.05] and 2.74 [2.63-2.86], respectively; adjusted rate ratios of Accident and Emergency department visits among individuals with six or seven and eight or more conditions were 1.53 [1.44-1.63] and 1.92 [1.80-2.05], respectively. Comorbid chronic kidney diseases were associated with the highest adjusted rate ratios of hospitalizations (1.81 [1.74-1.89]), whereas comorbid chronic ulcer of the skin was associated with the highest adjusted rate ratios of Accident and Emergency department visits (1.73 [1.61-1.85]). Healthcare utilization for individuals with dementia differed substantially by both the number of comorbid chronic conditions and the presence of some specific comorbid conditions. These findings further highlight the importance of taking account of multiple long-term conditions in tailoring the care approach and developing healthcare plans for people with dementia.