Health related quality of life in pediatric hematological malignancies patients and survivors: A meta-analysis of comparative studies.

BACKGROUND: Pediatric patients with hematologic malignancies (HM) and survivors are at high risk for numerous negative effects including decreased health-related quality of life (HRQOL). In order to understand the association between HM and QOL, we conducted this meta-analysis to systematically compare QOL between pediatric HM patients and survivors and controls. METHOD: The PubMed, EMBASE, Web of Science and the Cochrane Library databases were systematically searched. Data were analyzed using the random-effects model. RESULTS: Of 6586 unique articles identified, 30 were included in this meta-analysis. Studies described 12 different HRQOL tools. Different QOL measures varied in their association with quality of life. When compared with Non-HM group, the Pediatric Quality of Life Inventory (PedsQL) has a moderate effect size (standard mean difference, SMD = 0.50, 95% CI: 0.32, 0.68; P < 0.001). When compared with health controls, it has a large effect size (SMD = -1.00, 95% CI: -1.47, -0.53; P < 0.001). In addition, Health utilities index mark (HUI), and the Pediatric Oncology Quality of Life Scale (POQOLS) have a large (SMD = -0.81, 95% CI: -1.29, -0.33; P = 0.001) and a small (SMD = -0.10, 95% CI: -0.42, 0.22; P = 0.534) effect sizes when comparing overall controls. CONCLUSION: Pediatric HM patients and survivors had lower QOL compared with healthy controls and higher QOL compared with Non-HM controls in most domains. Considering the negative impact of poor QOL on daily life and functional outcomes, future research should focus on proposing effective measures to improve QOL of this population.

HybridGCN for protein solubility prediction with adaptive weighting of multiple features.

The solubility of proteins stands as a pivotal factor in the realm of pharmaceutical research and production. Addressing the imperative to enhance production efficiency and curtail experimental costs, the demand arises for computational models adept at accurately predicting solubility based on provided datasets. Prior investigations have leveraged deep learning models and feature engineering techniques to distill features from raw protein sequences for solubility prediction. However, these methodologies have not thoroughly delved into the interdependencies among features or their respective magnitudes of significance. This study introduces HybridGCN, a pioneering Hybrid Graph Convolutional Network that elevates solubility prediction accuracy through the combination of diverse features, encompassing sophisticated deep-learning features and classical biophysical features. An exploration into the intricate interplay between deep-learning features and biophysical features revealed that specific biophysical attributes, notably evolutionary features, complement features extracted by advanced deep-learning models. Augmenting the model's capability for feature representation, we employed ESM, a substantial protein language model, to derive a zero-shot learning feature capturing comprehensive and pertinent information concerning protein functions and structures. Furthermore, we proposed a novel feature fusion module termed Adaptive Feature Re-weighting (AFR) to integrate multiple features, thereby enabling the fine-tuning of feature importance. Ablation experiments and comparative analyses attest to the efficacy of the HybridGCN approach, culminating in state-of-the-art performances on the public eSOL and S. cerevisiae datasets.

Effect of Anesthesia During Pregnancy, Delivery, and Childhood on Autism Spectrum Disorder: A Systematic Review and Meta-analysis.

To investigate the association between exposure to anesthesia during three periods of pregnancy, delivery, and childhood and autism spectrum disorder (ASD). PubMed, Scopus, Web of Science, Embase, Google Scholar, PsycArticles, and PsycINFO were searched from the date of database inception to 1 December 2022. Studies reported the association between exposure to anesthesia during pregnancy, delivery, and childhood and ASD were included. Extracted variables included hazard ratio (HR), relative risk or odds ratio, standard error, and 95% confidence interval (CI). Effect estimates were pooled using random-effects meta-analysis. In total, 16 studies including 8,156,608 individuals were included in the meta-analysis. Labor epidural anesthesia during delivery was associated with ASD in the general population (adjusted HR = 1.16, 95% CI, 1.06-1.28) but not in the sibling population (adjusted HR = 1.06, 95% CI, 0.98-1.15). Other anesthesia during delivery was not associated with ASD (general population: adjusted HR = 1.08, 95% CI, 0.99-1.17; sibling population: adjusted HR = 1.20, 95% CI, 0.81-1.79). Three studies suggested that exposure to anesthesia during pregnancy was associated with ASD in offspring (adjusted HR = 2.15, 95% CI, 1.32-3.48). There was no significant association between exposure to general anesthesia during childhood and ASD (adjusted HR = 1.02, 95% CI, 0.60-1.72). This meta-analysis did not confirm the association between exposure to anesthesia during labour and ASD. Previous observational studies used the neurotoxicity of anesthesia to biologically explain significant associations, but in fact different controls for confounding factors led to differences in associations. The evidence for pregnancy and childhood was limited given the small number of studies in these periods.

Development of genome-wide association studies on childhood obesity and its indicators: A scoping review and enrichment analysis.

BACKGROUND: The progress of genome-wide association studies (GWAS) in childhood obesity and its indicators is challenging and there are differences in genetic studies in children and adults. OBJECTIVE: To illustrate the history of the development of GWAS in childhood obesity and its indicators and summarize the GWAS loci. METHODS: PubMed, Web of Science, Embase and GWAS Catalog databases were systematically searched from 1 January 2005 to 19 October 2022 for literature related to GWAS of childhood BMI, body fatness and obesity. The nearest genes were used as positional genes to perform gene set analyses including the enrichment of pathways, tissues and diseases. RESULTS: Twenty articles published between 2007 and 2021 were included in this scoping review, which identified 116 SNPs reaching genome-wide significance with childhood BMI (n = 50), body fatness (n = 31) and obesity (n = 35). The study populations were European in 16 studies, non-European in three studies (1 East Asian; 1 American; 1 Mexican) and trans-ancestry in one study. Several enriched pathways, tissues and diseases were identified through enrichment analysis of genes associated with childhood obesity and its indicators. CONCLUSIONS: The innovations in tools and methods enable GWAS to better explore the genetic characteristics of obesity in children and adolescents. However, the number of GWAS in American, Asian and African populations is limited compared to the European population.

Social determinants of health and gender differences in depression among adults: A cohort study.

The role of social determinants of health (SDoH) in gender differences in depression remains unclear among Chinese adults. We aimed to explore the association between SDoH and depression and investigate their role in explaining gender differences in depression. This prospective longitudinal cohort study used four wave surveys (2012, 2016, 2018, and 2020) of the China Family Panel Study (CFPS). Fourteen SDoH variables were assessed, and depression was measured using the 8-item short version of the Center for Epidemiologic Studies Depression Scale. The Cox proportional hazards regression and multiple mediation analysis were performed to estimate the effect sizes. The longitudinal sample included 18,874 participants aged 18-92 years (51.4 % males and 48.6 % females). Women had higher risk of depression than men. Unfavorable SDoH were associated with higher risk of depression. After including multiple SDoH in mediation analysis, multiple SDoH mediated 15.7 % of the total effect of gender on depression. In sum, SDoH significantly influenced depression, and specific factors explained gender differences in depression. Supporting women in education, employment, and community involvement could help reduce gender differences in depression.

Association of oral status with frailty among older adults in nursing homes: a cross-sectional study.

BACKGROUND: The oral status of an individual is a vital aspect of their overall health. However, older adults in nursing homes have a higher prevalence of frailty and poor oral health, particularly in the context of global aging. The objective of this study is to explore the association between oral status and frailty among older adults residing in nursing homes. METHODS: The study involved 1280 individuals aged 60 and above from nursing homes in Hunan province, China. A simple frailty questionnaire (FRAIL scale) was used to evaluate physical frailty, while the Oral Health Assessment Tool was used to assess oral status. The frequency of tooth brushing was classified as never, once a day, and twice or more a day. The traditional multinomial logistic regression model was used to analyze the association between oral status and frailty. Adjusted odds ratios (OR) and 95% confidence intervals (CI) were estimated while controlling for other confounding factors. RESULTS: The study found that the prevalence of frailty among older adults living in nursing homes was 53.6%, while the prevalence of pre-frailty was 36.3%. After controlling for all potential confounding factors, mouth changes requiring monitoring (OR = 2.10, 95% CI = 1.34-3.31, P = 0.001) and unhealthy mouth (OR = 2.55, 95% CI = 1.61-4.06, P < 0.001) were significantly associated with increased odds of frailty among older adults in nursing homes. Similarly, both mouth changes requiring monitoring (OR = 1.91, 95% CI = 1.20-3.06, P = 0.007) and unhealthy mouth (OR = 2.24, 95% CI = 1.39-3.63, P = 0.001) were significantly associated with a higher prevalence of pre-frailty. Moreover, brushing teeth twice or more times a day was found to be significantly associated with a lower prevalence of both pre-frailty (OR = 0.55, 95% CI = 0.34-0.88, P = 0.013) and frailty (OR = 0.50, 95% CI = 0.32-0.78, P = 0.002). Conversely, never brushing teeth was significantly associated with higher odds of pre-frailty (OR = 1.82, 95% CI = 1.09-3.05, P = 0.022) and frailty (OR = 1.74, 95% CI = 1.06-2.88, P = 0.030). CONCLUSIONS: Mouth changes that require monitoring and unhealthy mouth increase the likelihood of frailty among older adults in nursing homes. On the other hand, those who brush their teeth frequently have a lower prevalence of frailty. However, further research is needed to determine whether improving the oral status of older adults can change their level of frailty.

Psychometric properties of the Chinese version of the Nursing Home Adjustment Scale (C-NHAS) in Central China: Classical test theory and item response theory.

Evidence for the nursing home adjustment scale (NHAS)' s applicability in less developed regions of China is still absent. Besides, there is a need to provide further validity evidence for the NHAS using modern test theory. This study aims to investigate the psychometric properties of the Chinese version of the NHAS (C-NHAS) in a sample of nursing home residents in central China. A total of 761 older adults who lived in 21 nursing homes in Hunan Province, China, were investigated from July 2021 to December 2021. The C-NHAS yielded a four-factor structure and showed good reliability and validity. The difficulty of items matched most individuals' ability, while a small number of individuals with low ability had no items for matching. The results indicated the C-NHAS is a reliable and valid instrument while the high difficulty may restrict the performance of the C-NHAS among the less educated older adults.

WITHDRAWN: Associations between family support, loneliness, and underlying depression among children and adolescents in the China family panel studies: A mediation analysis.

OBJECTIVE: This study aimed to assess the association between depression and family support among Chinese children and adolescents and to investigate whether loneliness could mediate this relationship. METHODS: There were 2755 children and adolescents aged 18 and below from the China Family Panel Studies (CFPS) that participated in our study. Depression in children and adolescents was assessed by the Center for Epidemiologic Studies Depression Scale (CESD). Binary logistic regression combined with mediation analysis was used to examine the association between family support and depression and the mediating effect of loneliness on this relationship. RESULTS: Of the 2755 children and adolescents, 848 (30.8 %) reported feeling lonely and 310 (11.3 %) reported feeling depressed. Multivariate logistic regression analysis showed that compared with children and adolescents with family support, children and adolescents without family support had a higher risk of loneliness (odds ratio (OR) = 1.668, 95 % confidence interval (CI): 1.318-2.111) and depression (odds ratio (OR) = 2.252, 95 % confidence interval (CI) 1.669-3.039). Mediation analysis revealed that loneliness played a partial mediating role in the association between family support and depression (ß = -0.109, P < 0.001), and the mediation proportion was 38.11 %. CONCLUSION: Family support affects depression directly and indirectly through loneliness. The results suggest that parents should provide more support to children and adolescents to reduce the risk of loneliness and underlying depression during the COVID-19 pandemic.

Gout and risk of venous thromboembolism: A systematic review and meta-analysis of cohort studies.

BACKGROUND: The association between gout and venous thromboembolism (VTE) remains ambiguous, and the results of current studies are inconsistent. A systematic review and meta-analysis of cohort studies were conducted to comprehensively assess the associations between gout and VTE and its subtypes, deep venous thrombosis (DVT) and pulmonary embolism (PE). METHODS: PubMed, Web of Science, Embase, Scopus, and the Cochrane Library databases were searched up to June 2021, to identify eligible cohort studies, reporting the association of gout with VTE and its subtypes. We pooled hazard ratios (HRs) with 95% confidence intervals (CIs). Subgroup analysis, sensitivity analysis, and publication bias tests were also conducted. RESULTS: Five studies involving 642 632 individuals were included. Patients with gout had a statistically significantly higher risk of VTE (HR: 1.33; 95% CI: 1.21, 1.46; P < .001) compared with non-gout controls, and significant associations were also found between gout and DVT (HR: 1.40; 95% CI: 1.22, 1.62; P < .001) and PE (HR: 1.18; 95% CI: 1.07, 1.30; P = .001). Subgroup analysis showed this association in men (HR: 1.37; 95% CI: 1.14, 1.65; P = .001) and women (HR: 1.36; 95% CI: 1.21, 1.53; P < .001) were consistent (P = .980). Meta-regression analysis revealed publication year (P = .005) and quality of study (P = .006) contributed to heterogeneity. CONCLUSIONS: In conclusion, our study provided evidence that gout was associated with the risk of VTE and its subtypes DVT and PE. However, more prospective and high-quality clinical evidence is required to confirm our findings.

Insomnia, sleep duration, and risk of anxiety: A two-sample Mendelian randomization study.

BACKGROUND: The effect of insomnia and sleep duration on risk of anxiety has been assessed based on traditional epidemiological studies. However, the inconsistent conclusions do not establish causal associations. This study aimed to explore the causal associations of insomnia, short sleep, and long sleep with anxiety. METHODS: We used summary statistics from three large-scale genome-wide association studies (GWAS) of European ancestry to perform a two-sample Mendelian randomization (MR) study. MR analyses were mainly conducted with the inverse-variance-weighted (IVW) method. To evaluate the robustness of our findings, we performed the weighted-median approach, the MR-Egger method, and the MR-robust adjusted profile score (MR-RAPS) method for sensitivity analyses. RESULTS: There was a statistically significant association of genetically predicted insomnia with anxiety using the IVW method (OR = 1.36, 95% CI = 1.23-1.51, P < 0.001). Genetically predicted short sleep was potentially associated with anxiety using IVW method (OR = 1.67, 95% CI = 1.08-2.60, P = 0.022). However, sensitivity analyses did not find the causal association of short sleep with anxiety (all P > 0.053). We did not observe a statistically significant causal association of genetically predicted long sleep with anxiety (OR = 0.91, 95% CI = 0.48-1.74, P = 0.775). CONCLUSIONS: We found strong evidence that insomnia but not short sleep and long sleep has a causal effect on anxiety. The characteristics of insomnia should be incorporated into anxiety prevention and intervention strategies, which have important public health significance.

Association of sleep quality and nap duration with cognitive frailty among older adults living in nursing homes.

Background: Sleep status, including sleep quality and nap duration, may be associated with frailty and cognitive impairment in older adults. Older adults living in nursing homes may be more prone to physical and cognitive frailties. This study aimed to investigate the association between sleep quality and nap duration, and cognitive frailty among older adults living in nursing homes. Methods: This study included 1,206 older adults aged ≥ 60 years from nursing homes in Hunan province, China. A simple frailty questionnaire (FRAIL scale) was used and Mini-Mental State Examination was conducted to assess physical frailty and cognitive impairment, respectively, to confirm cognitive frailty. The Pittsburgh Sleep Quality Index was used to assess the sleep quality. Nap duration was classified as follows: no, short (≤30 min), and long (>30 min) napping. Multinomial logistic regression was conducted to estimate the odds ratio (OR) and 95% confidence interval (CI). Results: The prevalence of cognitive frailty among the older adults in nursing homes was 17.5%. Approximately 60.9% of the older adults had a poor sleep quality. Among the 1,206 participants, 43.9% did not take naps, 29.1% had short naps, and 26.9% had long naps. After adjusting for all covariates, poor sleep quality (OR 2.53; 95% CI 1.78-3.59; P < 0.001) and long nap duration (OR 1.77; 95% CI 1.19-2.64; P = 0.003) were associated with higher odds of cognitive frailty, but short nap duration (OR 0.60; 95% CI 0.40-0.89; P = 0.012) was associated with low prevalence of cognitive frailty. Conclusion: Poor sleep quality and long nap duration are significantly associated with high risk of cognitive frailty among the older adults in nursing homes. Short nap duration was associated with low prevalence of cognitive frailty. However, these associations require further validation in older adults. Clinical trial registration: https://osf.io/57hv8.

Associations of depressive symptoms and chronic diseases with activities of daily living among middle-aged and older population in China: A population-based cohort study.

Background: Activities of daily living (ADL) disability is a concern in the aging population and can lead to increased health service demands and lower quality of life. The aim of this longitudinal study was to assess the associations of chronic conditions and depressive symptoms with ADL disability. Methods: This prospective cohort study used two waves of data (2011 and 2015) from the China Health and Retirement Longitudinal Study (CHARLS). A total of 10,864 participants aged 45 and older were included for analysis. Chronic diseases were assessed by self-report and depressive symptoms were assessed using the validated 10-item of Center for Epidemiologic Studies Depression Scale at baseline. Incidents of ADL disability during follow-up were assessed using the Katz ADL scales. Results: After 4 years of follow-up, there were 704 participants incidents of ADL disability. The incident rate was 17.22 per 1,000 person-years. Having at least one chronic disease was independently associated with a 39% increased risk of incident ADL disability (adjusted HR, 1.39; 95%CI: 1.16, 1.67). The presence of depression symptoms was independently associated with a 54% increased risk of incident ADL disability (adjusted HR, 1.54; 95%CI: 1.30, 1.82). However, there was no significant additive interaction effect between chronic diseases and depressive symptoms on ADL disability. Conclusion: Chronic diseases and depressive symptoms are associated with an increased risk of ADL disability in middle-aged and older Chinese adults. Improving chronic diseases and depressive symptoms can prevent ADL disability.

The Longitudinal Relationship Between eHealth Literacy, Health-Promoting Lifestyles, and Health-Related Quality of Life Among College Students: A Cross-Lagged Analysis.

Objectives: This study aimed to explore the longitudinal associations between eHealth literacy, health-promoting lifestyles, and health-related quality of life (HRQoL) among college students. Methods: From December 2019 (T1) to December 2020 (T2), we administered the eHealth literacy scale, Short-Form Health Survey (SF-12), and Short-Form Health-Promoting Lifestyle Profile Scale to 1,181 college students in Jinan, China. Participants were recruited for 12 months for the two-stage survey. Results: Stable positive correlations were shown between eHealth literacy, health-promoting lifestyles, and HRQoL across time. The cross-lagged analysis showed that eHealth literacy at T1 predicted health-promoting lifestyles at T2 (ß = 0.080, P = 0.006); however, health-promoting lifestyles at T1 did not predict eHealth literacy at T2 (ß = -0.026, P = 0.499). HRQoL at T1 predicted health-promoting lifestyles at T2 (ß = 0.147, P < 0.001); however, similar to the eHealth literacy finding, health-promoting lifestyles at T1 did not predict HRQoL at T2 (ß = 0.045, P = 0.142). eHealth literacy was also bi-directionally associated with HRQoL, and the prediction effect of eHealth literacy at T1 to HRQoL at T2 (ß = 0.078, P = 0.008) was slightly higher than the prediction effect of HRQoL at T1 to eHealth literacy at T2 (ß = 0.074, P = 0.023). Conclusion: eHealth literacy and HRQoL may be antecedents for college students' health-promoting lifestyles. There may be significant bi-directional relationships between eHealth literacy and HRQoL.

Type 2 Diabetes, Fasting Glucose, Hemoglobin A1c Levels and Risk of Primary Open-Angle Glaucoma: A Mendelian Randomization Study.

Purpose: To evaluate the potential causal associations between type 2 diabetes and fasting glucose and HbA1c levels and the risk of primary open-angle glaucoma (POAG) in European and East Asian populations. Methods: We selected genetic variants (P < 5 × 10-8) for type 2 diabetes (898,130 Europeans; 433,540 East Asians), fasting glucose, and HbA1c (196,991 Europeans; 36,584 East Asians) from three meta-analyses of genome-wide association studies (GWAS). The GWAS for POAG provided summary statistics (192,702 Europeans; 46,523 East Asians). Mendelian randomization (MR) analysis was accomplished using the inverse variance-weighted method, weighted-median method, MR Egger method, and MR-Pleiotropy RESidual Sum and Outlier test. Results: Genetically predicted type 2 diabetes was potentially positively associated with POAG in the European ancestry (body mass index [BMI]-unadjusted: odds ratio [OR] = 1.07, 95% confidence interval [CI], 1.01-1.14, P = 0.028; BMI-adjusted: OR = 1.07, 95% CI, 1.01-1.15, P = 0.035), but not in the East Asian ancestry (BMI-unadjusted: OR = 1.01, 95% CI, 0.95-1.06, P = 0.866; BMI-adjusted: OR = 1.00, 95% CI, 0.94-1.05, P = 0.882). There was no evidence to support a causal association of fasting glucose (European: OR = 1.19, P = 0.157; East Asian: OR = 0.94, P = 0.715) and HbA1c (European: OR = 1.27, P = 0.178; East Asian: OR = 0.85, P = 0.508) levels with POAG. Conclusions: The causal effect of type 2 diabetes on the risk of POAG is different in European and East Asian populations. The point estimates of fasting glucose and Hb1Ac with POAG are large but not statistically significant, which prompts the question of statistical power.

Association Between Functional Limitations and Incident Cardiovascular Diseases and All-Cause Mortality Among the Middle-Aged and Older Adults in China: A Population-Based Prospective Cohort Study.

BACKGROUND: The prevalence of functional limitations is relatively high among the middle-aged and older adults. However, the contribution of functional limitations to subsequent incident cardiovascular diseases (CVD) and death is unclear. This study aims to examine the association between functional limitations and incident CVD and all-cause mortality among the middle-aged and older adults. METHODS: This is a nationally representative prospective cohort study. Participants were middle-aged and older Chinese adults from The China Health and Retirement Longitudinal Study. Functional limitations were measured using activities of daily living (ADL) scale and instrumental activities of daily living (IADL) scale. Incident CVD and death were recorded at followed-up from June 1, 2011, up until August 31, 2018. Cox proportional hazards model was used to assess the association between functional limitations and incident CVD and all-cause mortality. RESULTS: A total of 11,013 participants were included in this study. During the 7 years of follow-up, 1,914 incident CVD and 1,182 incident deaths were identified. Participants with functional limitations were associated with a 23% increased risk of incident CVD (HR, 1.23, 95% CI:1.08,1.39) after adjusting for age, gender, residential area, marital status, education, smoking, alcohol drinking, sleep duration, nap duration, depression symptoms, social participation, history of hypertension, diabetes, dyslipidemia, use of hypertension medications, diabetes medications, and lipid-lowering therapy. Moreover, participants with functional limitations were associated with a 63% increased risk of all-cause mortality (HR,1.63, 95%CI: 1.41,1.89) after adjusting for potential confounders. CONCLUSIONS: Functional limitations were significantly associated with subsequent incident CVD and death among the middle-aged and older Chinese adults.

Circulating vitamin C and D concentrations and risk of dental caries and periodontitis: A Mendelian randomization study.

AIM: This Mendelian randomization (MR) study was performed to explore the causal relationship among circulating vitamin C and D levels, dental caries, and periodontitis. MATERIALS AND METHODS: MR analyses were conducted with the inverse variance weighted (IVW) method, weighted median, MR-Egger approaches, and MR-robust adjusted profile score method to assess the causal relationships between circulating vitamin C and D concentrations and dental caries, the number of remaining natural permanent teeth in the mouth (N teeth), and periodontitis. RESULTS: We found potential causal association of circulating vitamin D concentrations with N teeth (ß = 0.085; 95% confidence interval: 0.019 to 0.150; p = .012) based on the IVW method. No significant causal relationship between circulating vitamin D levels and dental caries and periodontitis was observed. Similarly, no evidence supported a causal relationship between circulating vitamin C concentrations and the risk of dental caries, N teeth, and periodontitis. CONCLUSIONS: There is no obvious evidence suggesting a causal relationship among circulating vitamin D, dental caries, and periodontitis, drawing into question the mechanism for any association with N teeth. Additionally, there is insufficient power to detect small effects in vitamin C levels and caries and periodontitis.

Assessing the causal associations of insomnia with depressive symptoms and subjective well-being: a bidirectional Mendelian randomization study.

BACKGROUND: The interactions and associations between insomnia, depressive symptoms, and subjective well-being are complex, thus it is hard to explore the effect and direction of causalities. This bidirectional Mendelian randomization (MR) study was to assess the causal associations of insomnia with depressive symptoms and subjective well-being. METHODS: Summary statistics for insomnia, depressive symptoms, and subjective well-being were obtained from three large-scale genome-wide association studies (GWAS) of European ancestry. MR analyses were mainly conducted with the inverse-variance-weighted (IVW) method. The weighted-median method, MR-Egger method, and MR-Pleiotropy RESidual Sum and Outlier (PRESSO) test were adopted to test whether the estimates were robust. The adjusted MR analysis was performed to avoid the effect of potential pleiotropy. RESULTS: There was evidence to support a causal association between genetically predicted insomnia and depressive symptoms (beta (ß) = 0.086, 95% confidence interval (CI) = 0.068 to 0.104, P = 8.6E-21). Meanwhile, genetically predicted depressive symptoms was associated with a higher risk of insomnia (ß = 0.543, 95% CI = 0.331 to 0.754, P = 4.8E-07). Genetically predicted insomnia was negatively associated with subjective well-being (ß = -0.043, 95% CI = -0.063 to -0.024, P = 1.2E-05). There was evidence of reverse causality between insomnia and subjective well-being (ß = -0.821, 95% CI = -1.012 to -0.630, P = 4.0E-17). CONCLUSIONS: MR analysis indicates bidirectional causal associations of insomnia with depressive symptoms and subjective well-being. People should give serious attention to and attempt to resolve the problems of insomnia, depressive symptoms, and subjective well-being, whichever comes first.

Association of short sleep with risk of periodontal disease: A meta-analysis and Mendelian randomization study.

AIM: The aim of this meta-analysis and Mendelian randomization (MR) study was to assess the association between short sleep and periodontal disease, including tooth loss and periodontitis. MATERIALS AND METHODS: The meta-analysis of relevant studies was conducted to assess the association between short sleep and periodontal disease. MR analyses were conducted with the inverse-variance-weighted (IVW) method, weighted median method, MR-Egger method, and MR-Robust Adjusted Profile Score (RAPS) method to assess the causal effect of short sleep on tooth loss and periodontitis. RESULTS: Seven cross-sectional studies involving 40,196 individuals were included in the meta-analysis. The association between short sleep and periodontal disease was not statistically significant (odds ratios (OR) =1.13, 95% confidence interval (CI): 0.99, 1.28; p = 0.076). In the MR analysis, we did not observe statistically significant causal associations of genetically determined short sleep with tooth loss (ß: -0.056; 95% CI: -0.181 to 0.068; p = 0.376) and periodontitis (ß: -0.112; 95% CI: -0.340 to 0.117; p = 0.339). CONCLUSIONS: Short sleep is not associated with the risk of periodontal disease according to current evidence. Future studies need to pay attention to the measurement of sleep duration, the choice of statistical models, and other domains of sleep health.

Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model.

Home-cage social behaviour analysis of mice is an invaluable tool to assess therapeutic efficacy of neurodegenerative diseases. Despite tremendous efforts made within the research community, single-camera video recordings are mainly used for such analysis. Because of the potential to create rich descriptions for mouse social behaviors, the use of multi-view video recordings for rodent observations is increasingly receiving much attention. However, identifying social behaviours from various views is still challenging due to the lack of correspondence across data sources. To address this problem, we here propose a novel multi-view latent-attention and dynamic discriminative model that jointly learns view-specific and view-shared sub-structures, where the former captures unique dynamics of each view whilst the latter encodes the interaction between the views. Furthermore, a novel multi-view latent-attention variational autoencoder model is introduced in learning the acquired features, enabling us to learn discriminative features in each view. Experimental results on the standard CRMI13 and our multi-view Parkinson's Disease Mouse Behaviour (PDMB) datasets demonstrate that our proposed model outperforms the other state of the arts technologies, has lower computational cost than the other graphical models and effectively deals with the imbalanced data problem.