Impact of COVID-19 pandemic on depression incidence and healthcare service use among patients with depression: an interrupted time-series analysis from a 9-year population-based study.

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.

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).

Association between cumulative exposure periods of flupentixol or any antipsychotics and risk of lung cancer.

BACKGROUND: Preclinical evidence suggests that certain antipsychotic medications may inhibit the development of lung cancer. This study aims to investigate the association between incident lung cancer and different cumulative exposure periods of flupentixol or any antipsychotics. METHODS: Using electronic health records from the Hospital Authority in Hong Kong, this nested case-control study included case participants aged 18 years or older with newly diagnosed lung cancer after initiating antipsychotics between January 1, 2003, and August 31, 2022. Each case was matched to up to ten controls of the same sex and age, who were also antipsychotic users. Multivariable conditional logistic regression models were conducted to quantify the association between lung cancer and different cumulative exposure times of flupentixol (0-365 days [ref]; 366-1825 days; 1826+ days) and any antipsychotics (1-365 days [ref]; 366-1825 days; 1826+ days), separately. RESULTS: Here we show that among 6435 cases and 64,348 matched controls, 64.06% are males, and 52.98% are aged 65-84 years. Compared to patients with less than 365 days of exposure, those with 366-1825 days of exposure to flupentixol (OR = 0.65 [95% CI, 0.47-0.91]) and any antipsychotics (0.42 [0.38-0.45]) have a lower risk of lung cancer. A decreased risk is observed in patients who have 1826+ days of cumulative use of any antipsychotics (0.54 [0.47-0.60]). CONCLUSIONS: A reduced risk of lung cancer is observed in patients with more than one year of exposure to flupentixol or any antipsychotics. Further research on the association between lung cancer and other antipsychotic agents is warranted.

Antipsychotic drugs are mainly used to treat mental illnesses. Certain antipsychotic medications, such as flupentixol, may help protect patients against lung cancer. Here, we investigated whether prolonged use of flupentixol or other antipsychotics could reduce the occurrence of lung cancer among antipsychotic users. We demonstrated that a smaller proportion of patients with one to five years and more than five years of exposure to any antipsychotics develop lung cancer compared to those with less than one year of exposure. Specifically, for flupentixol, we observed a smaller proportion of patients with one to five years of exposure develop lung cancer compared to those with less than one year. To substantiate our current findings, further studies examining other populations and specific antipsychotic agents are necessary for developing effective lung cancer prevention strategies among this high-risk population.

Breast cancer risks following antipsychotic use in women with bipolar disorder versus schizophrenia: A territory-wide nested case-control study spanning two decades.

Accrued epidemiologic data largely support an association of antipsychotic use with breast cancer in women with schizophrenia. No studies have specifically investigated such risks in women with bipolar disorder. This study aims to examine the association between antipsychotics and breast cancer in women with bipolar disorder and compare it against schizophrenia. We conducted a nested case-control study using a territory-wide public healthcare database in Hong Kong examining women aged ≥18 years with bipolar disorder or schizophrenia. Using incidence density sampling, women with a breast cancer diagnosis were matched by up to 10 control participants. In total, 672 case participants (109 with bipolar disorder) and 6,450 control participants (931 with bipolar disorder) were included. Results show a significant association of first-generation antipsychotics with breast cancer in both women with schizophrenia [adjusted odds ratio (aOR) 1.49, 95% confidence interval (CI) 1.17-1.90] or bipolar disorder (aOR 1.80, 95% CI 1.11-2.93). Second-generation antipsychotics was associated with breast cancer only in women with bipolar disorder (aOR 2.49, 95% CI 1.29-4.79), with no significant association found in women with schizophrenia (aOR 1.10, 95% CI 0.88-1.36). In conclusion, further research on breast cancer risks is warranted for women with bipolar disorder on antipsychotics.

Sleep and academic performance among students in Hong Kong: Curvilinear relationship suggesting an optimal amount of sleep.

OBJECTIVES: This study aimed to elucidate the association between sleep and academic performance using standardized academic assessment in a large and representative sample of school children and adolescents in Hong Kong. METHODS: This school-based cross-sectional study was conducted in 2016. Students completed territory-wide standardized tests in Chinese, English, and Mathematics and a set of questionnaires covering sleep, academic anxiety and motivation. Parents provided additional information on socioeconomic status and children's study behaviors. Weekday proxy sleep duration was reflected by time-in-bed, the difference between bedtime and wakeup time. RESULTS: The study included 4262 Grade 3 (G.3) (mean age [SD], 9.2 [0.6] years; girls: 49.7%) and 3297 G.9 students (mean age [SD], 15.3 [0.74]; girls: 57.5%) from 77 schools. Apart from showing a general insufficiency of students' sleep in this metropolitan city, there was a significant quadratic relationship (G.3: ß = -0.05, p < .001; G.9: ß = -0.03, p < .01), indicating that students with an optimal level of sleep (9.5 h and 8.5 h in G.3 and G.9, respectively) tend to have better academic performance. The significant association remained after controlling for socioeconomic and study-related variables in that sleeping too little or too much was associated with poor academic performance. CONCLUSIONS: This is the first study to explore the curvilinear association between sleep duration and academic performance by using standardized test and simultaneously examining learning-related controls with a large representative sample in Hong Kong. The findings suggested that there is an inverted U-shaped relationship between sleep duration and academic performance in both school-aged children and adolescents. It is recommended that systematic sleep education and intervention is necessary to encourage the development of optimal sleep pattern, which might have beneficial effect on academic performance for students at both primary and secondary level.

Treatment-resistant depression and risk of autoimmune diseases: evidence from a population-based cohort and nested case-control study.

Recent literature indicates that patients with depression had increased immune activation. We hypothesised that treatment-resistant depression (TRD), an indicator of non-responsive depression with long-term dysregulated inflammation, could be an independent risk factor for subsequent autoimmune diseases. We performed a cohort study and a nested case-control study to examine the association between TRD and risk of autoimmune diseases, and to explore potential sex-specific difference. Using electronic medical records in Hong Kong, we identified 24,576 patients with incident depression between 2014 and 2016 without autoimmune history and followed up from diagnosis to death or December 2020 to identify TRD status and autoimmune incidence. TRD was defined as having at least two antidepressant regimens and the third regimen to confirm previous treatment failures. Based on age, sex and year of depression, we matched TRD patients 1:4 to the non-TRD in the cohort analysis using nearest-neighbour matching, and matched cases and controls 1:10 using incidence density sampling in the nested case-control analysis. We conducted survival analyses and conditional logistic regression respectively for risk estimation, adjusting for medical history. Across the study period, 4349 patients without autoimmune history (17.7%) developed TRD. With 71,163 person-years of follow-up, the cumulative incidence of 22 types of autoimmune diseases among the TRD patients was generally higher than the non-TRD (21.5 vs. 14.4 per 10,000 person-years). Cox model suggested a non-significant association (HR:1.48, 95% CI: 0.99-2.24, p = 0.059), whereas conditional logistic model showed a significant association (OR: 1.67, 95% CI: 1.10-2.53, p = 0.017) between TRD status and autoimmune diseases. Subgroup analysis showed that the association was significant in organ-specific diseases but not in systemic diseases. Risk magnitudes were generally higher among men compared to women. In conclusion, our findings provide evidence for an increased risk of autoimmune diseases in patients with TRD. Controlling chronic inflammation in hard-to-treat depression might play a role in preventing subsequent autoimmunity.

Decoding the radiomic features of dorsolateral prefrontal cortex in individuals with accelerated cortical changes: implications for personalized transcranial magnetic stimulation.

Purpose: Image-guided transcranial magnetic stimulation (TMS) is an emerging research field in neuroscience and rehabilitation medicine. Cortical morphometry, as a radiomic phenotype of aging, plays a vital role in developing personalized TMS model, yet few studies are afoot to examine the aging effects on region-specific morphometry and use it in the estimation of TMS-induced electric fields. Our study was aimed to investigate the radiomic features of bilateral dorsolateral prefrontal cortex (DLPFC) and quantify the TMS-induced electric fields during aging. Approach: Baseline, 1-year and 3-year structural magnetic resonance imaging (MRI) scans from normal aging (NA) adults ( n = 32 ) and mild cognitive impairment (MCI) converters ( n = 22 ) were drawn from the Open Access Series of Imaging Studies. The quantitative measures of radiomics included cortical thickness, folding, and scalp-to-cortex distance. Realistic head models were developed to simulate the impacts of radiomic features on TMS-induced E-fields using the finite-element method. Results: A pronounced aging-related decrease was found in the gyrification of left DLPFC in MCI converters ( t = 2.21 , p = 0.035 ), which could predict the decline of global cognition at 3-year follow up. Along with the decreased gyrification in left DLPFC, the magnitude of TMS-induced E-fields was rapidly decreased in MCI converters ( t = 2.56 , p = 0.018 ). Conclusions: MRI-informed radiomic features of the treatment targets have significant effects on the intensity and distribution of the stimulation-induced electric fields in prodromal dementia patients. Our findings highlight the importance of region-specific radiomics when conducting the transcranial brain stimulation in individuals with accelerated cortical changes, such as Alzheimer's disease.

Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: Results from a randomized controlled trial.

Image-guided repetitive transcranial magnetic stimulation (rTMS) has shown clinical effectiveness in senior adults with co-occurring depression and cognitive impairment, yet the imaging markers for predicting the treatment response are less investigated. In this clinical trial, we examined the efficacy and sustainability of 10 Hz rTMS for the treatment of depression and cognitive impairment in major neurocognitive disorder (NCD) patients and tested the predictive values of imaging-informed radiomic features in response to rTMS treatment. Fifty-five major NCD patients with depression were randomly assigned to receive a 3-week rTMS treatment of either active 10 Hz rTMS (n = 27) or sham rTMS (n = 28). Left dorsolateral prefrontal cortex (DLPFC) was the predefined treatment target. Based on individual structural magnetic resonance imaging scans, surface-based analysis was conducted to quantitatively measure the baseline radiomic features of left DLPFC. Severity of depression, global cognition and the serum brain-derived neurotrophic factor (BDNF) level were evaluated at baseline, 3-, 6- and 12-week follow-ups. Logistic regression analysis revealed that advanced age, higher baseline cognition and randomized group were associated with the remission of depression. Increased cortical thickness and gyrification in left DLPFC were the significant predictors of clinical remission and cognitive enhancement. A 3-week course of 10 Hz rTMS is an effective adjuvant treatment for rapid ameliorating depressive symptoms and enhancing cognitive function. Pre-treatment radiomic features of the stimulation target can predict the response to rTMS treatment in major NCD. Cortical thickness and folding of treatment target may serve as imaging markers to detect the responders. ChiCTR-IOR-16008191, registered on March 30, 2016.

Knowledge of mental health symptoms and help seeking attitude in a population-based sample in Hong Kong.

BACKGROUND: Mental health symptoms can be subtle, resulting in delaying treatment. A prompt identification of mental signs and symptoms is important for preventing mental disorders in the public. This study examined whether local public have adequate knowledge to identify mental health symptoms and the need to get timely professional help. METHODS: The population-based telephone surveys were conducted in 2015 and 2018. It involved a random sample of 4033 respondents aged 12-75 years. Mental health knowledge and help seeking attitude were assessed using six vignettes depicting subtle and obvious symptoms of anxiety disorders, mixed anxiety and depressive disorders, and dementia. Logistic regression models were performed to examine association between mental health knowledge and help-seeking attitude. RESULTS: Individuals with poor knowledge in subtle symptoms were more likely to be males (t = - 5.0, p < .001), younger (F = 15.0, p < .001), have tertiary education (F = 15.0, p < .001), and employed (t = - 2.1, p = .037). The knowledge scores of subtle and obvious symptoms were 1.5 and 2.3 respectively. Binary logistic regression found that poor knowledge of subtle symptoms was associated with reluctance to professional help seeking. CONCLUSIONS: Poorly identified subtle mental health symptoms is a major barrier to early professional help in highly educated working males. Future research should explore specific interventions to increase knowledge and professional help seeking in this group.

Dynamic changes of region-specific cortical features and scalp-to-cortex distance: implications for transcranial current stimulation modeling.

BACKGROUND: Transcranial current stimulation in rehabilitation is a fast-growing field featured with computational and biophysical modeling. Cortical features and scalp-to-cortex distance (SCD) are key variables for determining the strength and distribution of the electric field, yet longitudinal studies able to capture these dynamic changes are missing. We sought to investigate and quantify the ageing effect on the morphometry and SCD of left primary motor cortex (M1) and dorsolateral prefrontal cortex (DLPFC) in normal ageing adults and mild cognitive impairment (MCI) converters. METHODS: Baseline, 1-year and 3-year follow-up structural magnetic resonance imaging scans from normal ageing adults (n = 32), and MCI converters (n = 22) were drawn from the Open Access Series of Imaging Studies. We quantified the changes of the cortical features and SCDs of left M1 and DLPFC, including grey matter volume, white matter volume, cortical thickness, and folding. Head model was developed to simulate the impact of SCD on the electric field induced by transcranial current stimulation. RESULTS: Pronounced ageing effect was found on the SCD of left DLPFC in MCI converters. The SCD change of left DLPFC from baseline to 3-year follow-up demonstrated better performance to discriminate MCI converters from normal ageing adults than the other morphometric measures. The strength of electric field was consequently decreased with SCD in MCI converters. CONCLUSION: Ageing has a prominent, but differential effect on the region-specific SCD and cortical features in older adults with cognitive impairments. Our findings suggest that SCD, cortical thickness, and folding of the targeted regions could be used as valuable imaging markers when conducting transcranial brain stimulation in individuals with brain atrophy.

Moment-to-moment dynamics between auditory verbal hallucinations and negative affect and the role of beliefs about voices.

BACKGROUND: Negative affect (NA) has been suggested to be both an antecedent and a consequence of auditory verbal hallucinations (AVH). Furthermore, negative appraisals of voices have been theorized to contribute to the maintenance of AVH. Using the experience sampling method (ESM), this study examined the bi-directional relationship between NA and AVH, and the moderating effect of negative beliefs about voices. METHODS: Forty-seven patients diagnosed with schizophrenia spectrum disorders with frequent AVH completed a clinical interview, followed by ESM for 10 times a day over 6 days on an electronic device. Time-lagged analyses were conducted using multilevel regression modeling. Beliefs about voices were assessed at baseline. RESULTS: A total of 1654 data points were obtained. NA predicted an increase in AVH in the subsequent moment, and AVH predicted an increase in NA in the subsequent moment. Baseline beliefs about voices as malevolent and omnipotent significantly strengthened the association between NA and AVH within the same moment. In addition, the belief of omnipotence was associated with more hallucinatory experiences in the moment following NA. However, beliefs about voices were not associated directly with momentary levels of NA or AVH. CONCLUSIONS: Experiences of NA and AVH drove each other, forming a feedback loop that maintained the voices. The associations between NA and AVH, either within the same moment or across moments, were exacerbated by negative beliefs about voices. Our results suggest that affect-improving interventions may stop the feedback loop and reduce AVH frequency.

The critical role of the inferior frontal cortex in establishing a prediction model for generating subsequent mismatch negativity (MMN): A TMS-EEG study.

BACKGROUND: The prediction violation account of automatic or pre-attentive change detection assumed that the inferior frontal cortex (IFC) is involved in establishing a prediction model for detecting unexpected changes. Evidence supporting the IFC's contribution to prediction model is mainly based on the Mismatch Negativity (MMN) to deviants violating predictions that are established based on the frequently presented standard events. However, deviant detection involves processes, such as events comparison, other than prediction model establishment. OBJECTIVE: The current study investigated the critical role of the IFC in establishing a prediction model during standards processing for subsequent deviant detection. METHODS: Transcranial Magnetic Stimulation (TMS) was applied at the IFC to disrupt the processing of the initial 2 or 5 standards of a 3-, 6-, or 9-standard train, while the MMN responses to pitch deviant presented after the standard trains were recorded and compared. RESULTS: An abolishment of MMN was only observed when TMS was delivered to the IFC at the initial 2 standards of the 3-standard train, but not at the initial 5 standards, or when TMS at the vertex or TMS sound recording was applied. The MMNs were also preserved when IFC TMS, vertex TMS, or TMS sound recording was applied at the initial 2 or 5 standards of longer trains. CONCLUSION: The IFC plays a critical role in processing the initial standards of a short standard train for subsequent deviant detection. This result is consistent with the prediction violation account that the IFC is important for establishing the prediction model.

Randomized controlled trial of TDCS on cognition in 201 seniors with mild neurocognitive disorder.

OBJECTIVE: To examine the efficacy and safety of combined transcranial direct current stimulation (tDCS) and working memory training (WMT) in enhancing the cognitive functions for individuals with mild neurocognitive disorder due to AD (NCD-AD). METHODS: In this double-blind, sham-controlled randomized clinical trial (RCT), 201 patients with NCD-AD were randomly assigned for a 4-week intervention of either a combination of tDCS and WMT, sham tDCS and WMT, or tDCS and control cognitive training (CCT). Global cognition and domain-specific cognitive function were assessed before and after the intervention with Alzheimer's disease assessment scale-cognitive subscale (ADAS-Cog), category verbal fluency test, logical memory, digit, and visual span tests. RESULTS: Study participants did not show intervention group differences in baseline demographics, or cognitive characteristics (ANOVA). Cognitive enhancement was found across three groups after 4 weeks intervention. Combined tDCS-WMT group showed significantly greater improvement compared with single-modality groups in delayed recall (P = 0.043, η2  = 0.036) and working memory capacity (P = 0.04, η2  = 0.038) at 4th week, and logical memory at 12th week (P = 0.042, η2  = 0.037). Adverse events, including skin lesions (2.2%), were similar between groups. INTERPRETATION: tDCS or WMT could be a safe, feasible, and effective intervention for individuals with NCD-AD. A combination of tDCS and WMT presents greater cognitive enhancement, which may highlight the potential synergistic effects of combined modality intervention on cognition.

Nonfatal Suicidal Behaviors of Chinese Rural-to-Urban Migrant Workers: Attitude Toward Suicide Matters.

OBJECTIVE: To examine the attitude toward suicide (ATS) and its influence on nonfatal suicidal behaviors of Chinese rural-to-urban migrant workers (MWs). METHOD: Altogether, 3031 MWs completed the positive ATS Scale and structured questions regarding lifetime suicide ideation, plan, and attempt. Mental health help-seeking behaviors of MWs were also investigated. RESULTS: Overall, MWs held a more negative ATS than the Chinese general population. The lifetime prevalence of suicide ideation, plan, and attempt was 5.5%, 1.3%, and 1.1%, respectively. After controlling for lifetime depressive disorders and other covariates, a negative ATS was still significantly associated with lower risk of lifetime suicide ideation (OR = 0.32), plan (OR = 0.22), and attempt (OR = 0.26). MWs with a negative ATS were more likely to talk to others and seek help by online/telephone consultation for their mental health and suicidal problems (p < .05). A more positive ATS was significantly associated with male gender, low education level, ethnic minority of Miao, low monthly income, and originating from western China. CONCLUSIONS: The majority of MWs hold a negative ATS, which significantly contributes to their relatively low risk of nonfatal suicidal behaviors. The more help-seeking from others and online/telephone consultation in MWs with a negative ATS may lower their risk of nonfatal suicidal behaviors.

Establishing the functional connectivity of the frontotemporal network in pre-attentive change detection with Transcranial Magnetic Stimulation and event-related optical signal.

Current theories of pre-attentive deviant detection postulate that before the Superior Temporal Cortex (STC) detects a change, the Inferior Frontal Cortex (IFC) engages in stimulus analysis, which is particularly critical for ambiguous deviations (e.g., deviant preceded by a short train of standards). These theories rest on the assumption that IFC and STC are functionally connected, which has only been supported by correlational brain imaging studies. We examined this functional connectivity assumption by applying Transcranial Magnetic Stimulation (TMS) to disrupt IFC function, while measuring the later STC mismatch response with the event-related optical signal (EROS). EROS can localize brain activity in both spatial and temporal dimensions via measurement of optical property changes associated with neuronal activity, and is inert to the electromagnetic interference produced by TMS. Specifically, the STC mismatch response at 120-180 ms elicited by a deviant preceded by a short standard train when IFC TMS was applied at 80 ms was compared with the STC mismatch responses in temporal control (TMS with 200 ms delay), spatial control (sham TMS at vertex), auditory control (TMS pulse noise only), and cognitive control (deviant preceded by a long standard train) conditions. The STC mismatch response to deviants preceded by the short train was abolished by TMS of the IFC at 80 ms, while the STC responses remained intact in all other control conditions. These results confirm the involvement of the IFC in the STC mismatch response and support a functional connection between IFC and STC.

The effects of apolipoprotein ε 4 on aging brain in cognitively normal Chinese elderly: a surface-based morphometry study.

BACKGROUND: Default mode network (DMN) has been reported to be susceptible to APOE ε 4 genotype. However, the APOE ε 4-related brain changes in young carriers are different from the ones in elderly carriers. The current study aimed to evaluate the cortical morphometry of DMN subregions in cognitively normal elderly with APOE ε 4. METHOD: 11 cognitively normal senior APOE ε 4 carriers and 27 matched healthy controls (HC) participated the neuropsychological tests, genotyping, and magnetic resonance imaging (MRI) scanning. Voxel-based morphometry (VBM) analysis was used to assess the global volumetric changes. Surface-based morphometry (SBM) analysis was performed to measure regional gray matter volume (GMV) and gray matter thickness (GMT). RESULTS: Advancing age was associated with decreased GMV of DMN subregions. Compared to HC, APOE ε 4 carriers presented cortical atrophy in right cingulate gyrus (R_CG) (GMV: APOE carriers: 8475.23 ± 1940.73 mm3, HC: 9727.34 ± 1311.57 mm3, t = 2.314, p = 0.026, corrected) and left insular (GMT: APOE ε 4 carriers: 3.83 ± 0.37 mm, HC: 4.05 ± 0.25 mm, t = 2.197, p = 0.033, corrected). CONCLUSIONS: Our results highlight the difference between different cortical measures and suggest that the cortical reduction of CG and insular maybe a potential neuroimaging marker for APOE 4 ε senior carriers, even in the context of relatively intact cognition.

The prevalence of sleep problems and their socio-demographic and clinical correlates in young Chinese rural residents.

This study aimed to determine the prevalence of basic forms of sleep disturbance (DIS: difficulty initiating sleep; DMS: difficulty maintaining sleep; and EMA: early morning awakening) as well as insomnia (defined as sleep disturbance accompanied by distress or daily functioning impairment), their socio-demographic and clinical correlates, and the treatment patterns in young Chinese rural people. A sample of 1642 subjects was recruited in Mianyang and interviewed using standardized instruments. Basic socio-demographic and clinical data were collected. The prevalence of at least one type of reported sleep disturbance was 8.0%, while the prevalence of at least one type of insomnia was 2.7%. In multivariate analyses, age between 30 and 34 years, having psychiatric disorders, poorer physical domain of quality of life (QOL), better social QOL domain, depressive symptoms and lower social support were independently associated with more frequent sleep disturbance. At the same time, age between 30 and 34 years, female sex, poorer physical QOL domain, better social QOL domain, depressive symptoms, lower life satisfaction, lower social support and more life events were independently associated with more frequent insomnia. Self-reported sleep disturbances are common among young Chinese residents. The low percentage of treated community residents might suggest a need to promote accessible and easily implemented interventions.

Prevalence of neuropsychiatric symptoms in chinese older persons with mild cognitive impairment-a population-based study.

OBJECTIVES: To estimate the point prevalence and correlates of neuropsychiatric (NP) symptoms among older adults with mild cognitive impairment (MCI) and normal cognition (NC) in a Chinese community. DESIGN: Cross-sectional study derived from a population-based prevalence study of MCI and dementia. SETTING AND PARTICIPANTS: This survey was conducted in Hong Kong from 2005 to 2006. Seven hundred eighty-eight community-dwelling older adults (450 NC and 338 MCI) were recruited. Cognitive and NP data were obtained. RESULTS: The point prevalence of at least one NP symptom in NC and MCI were 29% and 36.7%, respectively (logistic regression controlled for age and education, odds ratio = 1.38, 95% confidence interval [CI]: 1.01-1.89, Wald χ = 4.10, df = 1, p = 0.04). Agitation (1.8% versus 5.1%), apathy (7.6% versus 15.2%), and irritability (4.2% versus 8%) were more prevalent in subjects with MCI (p <0.05). Logistic regression analyses showed that apathy score was a significant factor associated with the status of NC or MCI (logistic regression, apathy, p = 0.031, Exp(B) = 1.23, 95% CI: 1.02-1.47; Hosmer and Lemeshow test, χ = 8.6, df = 8, p = 0.38, R = 0.23). CONCLUSIONS: The authors reported the findings of one of the first population-based studies estimating the point prevalence of NP symptoms in Asian older adults with MCI. Taking into account of its prevalence and magnitude of effects, apathy is a clinically significant symptom in MCI. Its predictive value for conversion to dementia warrants further evaluation.