Automatic segmentation of dura for quantitative analysis of lumbar stenosis: A deep learning study with 518 CT myelograms.

BACKGROUND: The diagnosis of lumbar spinal stenosis (LSS) can be challenging because radicular pain is not often present in the culprit-level localization. Accurate segmentation and quantitative analysis of the lumbar dura on radiographic images are key to the accurate differential diagnosis of LSS. The aim of this study is to develop an automatic dura-contouring tool for radiographic quantification on computed tomography myelogram (CTM) for patients with LSS. METHODS: A total of 518 CTM cases with or without lumbar stenosis were included in this study. A deep learning (DL) segmentation algorithm 3-dimensional (3D) U-Net was deployed. A total of 210 labeled cases were used to develop the dura-contouring tool, with the ratio of the training, independent testing, and external validation datasets being 150:30:30. The Dice score (DCS) was the primary measure to evaluate the segmentation performance of the 3D U-Net, which was subsequently developed as the dura-contouring tool to segment another unlabeled 308 CTM cases with LSS. Automatic masks of 446 slices on the stenotic levels were then meticulously reviewed and revised by human experts, and the cross-sectional area (CSA) of the dura was compared. RESULTS: The mean DCS of the 3D U-Net were 0.905 ± 0.080, 0.933 ± 0.018, and 0.928 ± 0.034 in the five-fold cross-validation, the independent testing, and the external validation datasets, respectively. The segmentation performance of the dura-contouring tool was also comparable to that of the second observer (the human expert). With the dura-contouring tool, only 59.0% (263/446) of the automatic masks of the stenotic slices needed to be revised. In the revised cases, there were no significant differences in the dura CSA between automatic masks and corresponding revised masks (p = 0.652). Additionally, a strong correlation of dura CSA was found between the automatic masks and corresponding revised masks (r = 0.805). CONCLUSIONS: A dura-contouring tool was developed that could automatically segment the dural sac on CTM, and it demonstrated high accuracy and generalization ability. Additionally, the dura-contouring tool has the potential to be applied in patients with LSS because it facilitates the quantification of the dural CSA on stenotic slices.

Identification of key mRNAs and signaling pathways in obsessive compulsive disorder based on weighted gene co-expression network analysis and cytoHubba plugin.

PURPOSE: Obsessive-compulsive disorder (OCD) is a complex psychiatric disorder. Genetic and broad environmental factors are common risk factors for OCD. The purpose of this study is to explore the molecular mechanism of OCD and to find new molecular targets for the diagnosis and management of OCD. METHODS: All data were downloaded from public dataset. Key modules and candidate key mRNAs were identified based on weighted gene co-expression network analysis (WGCNA). The "limma" R package was used for differential expression analysis of mRNAs. Subsequently, functional enrichment analysis of differentially expressed mRNAs (DEmRNAs) was also carried out. In addition, a diagnostic model was constructed. Finally, the infiltration level of immune cells in OCD and its correlation with multicentric key DEmRNAs were analyzed. RESULTS: Green and red modules were selected as the hub modules. A total of 447 mRNAs were considered candidate key mRNAs according to GS > 0.2 and MM > 0.3. A total of 26 DEmRNAs in the same direction were identified in the GSE60190 and GSE78104 datasets. A total of 26 DEmRNAs were intersected with candidate key mRNAs in WGCNA to obtain 10 intersection DEmRNAs (HSPB1, ITPK1, CBX7, PPP1R10, TAOK1, PISD, MKNK2, RWDD1, PPA1, and RELN). However, only four DEmRNAs (HSPB1, TAOK1, MKNK2, and PPA1) predicted related drugs. Subsequently, receiver operating characteristic analysis shows that the diagnostic model has high diagnostic value. Moreover, six multicentric key DEmRNAs (SNRPF, SNRNP70, PRPF8, NOP56, EPRS, and CCT2) were screened by UpSet package. Finally, six multicentric key DEmRNAs were found to be associated with immune cells. CONCLUSION: The key molecules obtained in this study lay a foundation for further research on the molecular mechanism of OCD.

Bacteria associated with Comamonadaceae are key arsenite oxidizer associated with Pteris vittata root.

Pteris vittata (P. vittata), an arsenic (As) hyperaccumulator commonly used in the phytoremediation of As-contaminated soils, contains root-associated bacteria (RAB) including those that colonize the root rhizosphere and endosphere, which can adapt to As contamination and improve plant health. As(III)-oxidizing RAB can convert the more toxic arsenite (As(III)) to less toxic arsenate (As(V)) under As-rich conditions, which may promote plant survial. Previous studies have shown that microbial As(III) oxidation occurs in the rhizospheres and endospheres of P. vittata. However, knowledge of RAB of P. vittata responsible for As(III) oxidation remained limited. In this study, members of the Comamonadaceae family were identified as putative As(III) oxidizers, and the core microbiome associated with P. vittata roots using DNA-stable isotope probing (SIP), amplicon sequencing and metagenomic analysis. Metagenomic binning revealed that metagenome assembled genomes (MAGs) associated with Comamonadaceae contained several functional genes related to carbon fixation, arsenic resistance, plant growth promotion and bacterial colonization. As(III) oxidation and plant growth promotion may be key features of RAB in promoting P. vittata growth. These results extend the current knowledge of the diversity of As(III)-oxidizing RAB and provide new insights into improving the efficiency of arsenic phytoremediation.

Phototrophic Nitrogen Fixation, a Neglected Biogeochemical Process in Mine Tailings?

Biological nitrogen fixation (BNF) has important ecological significance in mine tailing by contributing to the initial accumulation of nitrogen. In addition to chemolithotrophic and heterotrophic BNF, light may also fuel BNF in oligotrophic mine tailings. However, knowledge regarding the occurrence and ecological significance of this biogeochemical process in mine tailings remains ambiguous. The current study observed phototrophic BNF in enrichment cultures established from three primary successional stages (i.e., original tailings, biological crusts, and pioneer plants) of tailings. Notably, phototrophic BNF in tailings may be more active at vegetation stages (i.e., biological crusts and pioneering plants) than in bare tailings. DNA-stable isotope probing identified Roseomonas species as potential aerobic anoxygenic phototrophs responsible for phototrophic BNF. Furthermore, metagenomic binning as well as genome mining revealed that Roseomonas spp. contained essential genes involved in nitrogen fixation, anoxygenic photosynthesis, and carbon fixation, suggesting their genetic potential to mediate phototrophic BNF. A causal inference framework equipped with the structural causal model suggested that the enrichment of putative phototrophic diazotrophic Roseomonas may contribute to an elevated total nitrogen content during primary succession in these mine tailings. Collectively, our findings suggest that phototrophic diazotrophs may play important roles in nutrient accumulation and hold the potential to facilitate ecological succession in tailings.

Persistently short or long sleep duration increases the risk of sensory impairment in Chinese older adults.

Background: Cross-sectional evidence suggests that persistently short or long sleep duration is associated with sensory impairment. Thus, this study was conducted to investigate the associations between sleep duration and altered sleep duration with sensory impairment in Chinese older adults. Methods: Longitudinal data (2008-2014) obtained through the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed. Sleep duration was classified as normal (7-8 h), short (<7 h), or long (≥9 h). Sensory impairment was assessed using individuals' self-reported data on visual and hearing functions. Cox regression was performed to evaluate the effects of sleep duration and altered sleep duration on sensory impairment, including visual impairment (VI) and hearing impairment (HI). Results: This study included 3,578 older adults (mean age: 78.12 ± 9.59 years). Among them, 2,690 (75.2%) were aged 65-84 years and 1798 (50.3%) were women. The risks of VI (hazard ratio [HR]: 1.14; 95% confidence interval [CI]: 1.02-1.29), HI (HR: 1.14; 95% CI: 1.00-1.30), and dual sensory impairment (both VI and HI; HR: 1.26; 95% CI: 1.03-1.55) were high in older adults with long sleep duration. In addition, the risks of VI, HI, and dual sensory impairment were high in individuals whose sleep duration changed from normal to short or long (HR: 1.20 [95% CI: 1.02-1.42], 1.26 [95% CI: 1.03-1.53], and 1.54 [95% CI: 1.11-2.12], respectively) and those with persistently short or long sleep duration (HR: 1.25 [95% CI: 1.07-1.46], 1.34 [95% CI: 1.11-1.61], and 1.67 [95% CI: 1.22-2.27], respectively). Conclusion: A prospective association was identified between altered sleep duration and sensory impairment in Chinese older adults. Our findings highlight the importance of optimal sleep duration and healthy sleep habits in preventing sensory impairment in older adults.

Smoking Susceptibility and Trends Among Nonsmoking Adolescents: An International Study.

OBJECTIVES: Smoking susceptibility is defined as a lack of firm decision against smoking, usually starts in the preparation and/or initiation stages of smoking behavior, and is a strong predictor of smoking experimentation during adolescence. However, the recent global prevalence and trends in smoking susceptibility among adolescents are not well documented. This study assessed global smoking susceptibility and secular trends among nonsmoking adolescents. METHODS: Smoking susceptibility was analyzed using the most recent data from the Global Youth Tobacco Survey from 129 countries, where the data from each country were drawn from at least 1 survey conducted at any time between 1999 and 2020. Moreover, data from 82 countries were used to assess the average annual rate of change (AARC) in smoking susceptibility over time. RESULTS: Smoking susceptibility among nonsmoking adolescents was 19.6%. A U-shaped relationship was observed between susceptibility and a country's economic level. Most countries showed no changes in susceptibility over time. Countries with a significant upward trend in susceptibility were primarily high-income and upper middle-income countries in the American region. At the World Health Organization regional level, susceptibility significantly decreased in the European region (AARC: -3.5%; 95% confidence interval, -5.8 to -0.8); however, it significantly increased in the American region (AARC: 2.2%; 95% confidence interval, 1.3-3.1). CONCLUSIONS: Smoking susceptibility remains a serious public health challenge among adolescents worldwide. More public health policies are needed to reduce susceptibility and to control its upward trend in the American region and high-income countries.

Effect of glutathione-assisted continuous renal replacement therapy in sepsis patients with acute renal injury.

This study explored the effect of glutathione assisted continuous renal replacement therapy (CRRT) on peripheral blood receptors in sepsis patients with acute kidney injury. A total of 196 sepsis patients with acute kidney injury were recruited to perform a retrospective cohort study, 98 patients treated with glutathione combined with CRRT were included as the combination group, and then 98 patients treated with CRRT alone were included as the control group during the same period. The outcome was changes in the levels of blood urea nitrogen (BUN), serum creatinine (Scr), peripheral blood receptors, acute physiology and chronic health evaluation (APACHE) II, and sequential organ failure assessment (SOFA) before and after treatment. After treatment, the levels of BUN and Scr in both groups of patients were significantly lower than those before treatment, and the levels in the combination group were lower than those in the control group. After treatment, toll-like receptor (TLR) 4 and TLR2 levels in both groups of patients were lower than those before treatment, and the levels in the combination group were lower than those in the control group. After treatment, the APACHE II and SOFA scores of the two groups were lower than those before treatment, and the scores in the combination group were lower than those in the control group. Glutathione-assisted CRRT can improve the renal function of patients and reduce the immune inflammatory response of sepsis patients with acute kidney injury, which can be widely promoted in the clinic.

New materials-based on gelatin coordinated with zirconium or aluminum for ecological retanning.

Ecological retanning agent is an effective way to solve the pollution source of leather manufacturing industry. In this study, the gelatin from chrome-containing leather shavings in the leather industry was used to realize sustainable leather post-tanning. The gelatin hydrolysate (GH) coordinated with Zr4+ or Al3+ to prepare eco-friendly retanning agents GH-Zr and GH-Al. The successful coordination between GH and metal ions was characterized by FTIR and XPS. The retanning agents were characterized by FTIR curve-fitting and circular dichroism spectroscopy. The results showed that the conformation of the secondary structure of the polypeptide became ordered and stable after coordinating with the metal ions. The particle size and weight average molecular weight of the retanning agents were ~1700 nm and ~2100, respectively, measured by nanoparticle size analyzer and gel permeation chromatography (GPC). The retanning agents were applied to retanning of chrome tanned leather and glutaraldehyde tanned leather. The abundant free amino from retanning agents can consume the free formaldehyde. Meanwhile, retanning agents can effectively improve the multiple binding sites, resulting in favorable thickening rate (>110 %) and excellent dye and fatliquor absorption rate with ~99.91 % and ~93.18 %. Thus, this strategy can provide a viable choice for solid leather waste and sustainable development of the leather industry.

Unraveling EGFR-TKI resistance in lung cancer with high PD-L1 or TMB in EGFR-sensitive mutations.

BACKGROUND: Although EGFR-TKI resistance mechanisms in non-small cell lung cancer (NSCLC) have been extensively studied, certain patient subgroups remain with unclear mechanisms. This retrospective study analysed mutation data of NSCLC patients with EGFR-sensitive mutations and high programmed death-ligand 1 (PD-L1) expression or high TMB to identify primary resistance mechanisms. METHODS: Hybrid capture-based next-generation sequencing (NGS) was used to analyse mutations in 639 genes in tumor tissues and blood samples from 339 NSCLC patients. PD-L1 immunohistochemical staining was also performed on the same cell blocks. Molecular and pathway profiles were compared among patient subgroups. RESULTS: TMB was significantly higher in lung cancer patients with EGFR-sensitive mutations and high PD-L1 expression. Compared with the high-expression PD-L1 or high TMB and low-expression or TMB groups, the top 10 genes exhibited differences in both gene types and mutation rates. Pathway analysis revealed a significant mutations of the PI3K signaling pathway in the EGFR-sensitive mutation group with high PD-L1 expression (38% versus 12%, p < 0.001) and high TMB group (31% versus 13%, p < 0.05). Notably, PIK3CA and PTEN mutations emerged as the most important differentially mutated genes within the PI3K signaling pathway. CONCLUSIONS: Our findings reveal that the presence of PI3K signaling pathway mutations may be responsible for inducing primary resistance to EGFR-TKIs in NSCLC patients with EGFR-sensitive mutations along with high PD-L1 expression or high TMB. This finding is of great significance in guiding subsequent precision treatments in NSCLC.

Solid fuel use, socioeconomic status and depression: a cross-study of older adults in China.

BACKGROUND: Indoor air pollution causes severe psychological stress and promotes depression. A better understanding of the impact of solid fuel consumption and socioeconomic indicators on mental health is critical to promote successful aging. In this study, we analyzed the relationship of depression with socioeconomic status (SES) and solid fuel use, and illustrated the mediating role of solid fuel use in the relationship between SES and depression. METHODS: 9250 participants from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey were included in this study. A logistic regression analysis was used to calculate odds ratio (OR) and 95% confidence interval (CI) of depression for different types of fuel consumption. The stepwise approach and the Sobel test were used to test the mediation effect. RESULTS: Older people who reported the consumption of solid fuels showed higher odds of having depressive symptoms (OR = 1.16, 95% CI:1.03, 1.31). In model with depression as the outcome variable, the ORs of low education level and low annual household income level were 1.30 (95% CI: 1.15, 1.47) and 1.43 (95% CI: 1.28, 1.59) respectively. Solid fuel consumption accounted for 38.40% of the effect of a low education level and 54.73% of the effect of low income on depression. CONCLUSIONS: Solid fuel use and SES are associated with depression, and solid fuel use may act as a potential mediator connecting socioeconomic indicators and depression.

Analysis of full and empty ratio of EV71 virus by using capillary zone electrophoresis.

Hand, foot, and mouth disease is a serious public health problem, and the main pathogen is enterovirus 71 (EV71). Its capsid assembly mechanism including capsid protein processing has been widely studied. Full and empty capsids have different immunological efficacy. Therefore, tracking full/empty capsid ratio throughout the EV71 production process is important to ensure consistent product quality and proper dosing response. The analysis of full/empty capsid ratio of intact virus has been widely reported as well. A variety of techniques have been employed to evaluate the full/empty capsid ratios. However, there has not been a rapid, reproducible, and robust assay to determine the full/empty capsid ratios of final and in-process products. In this study, a novel assay based on capillary zone electrophoresis was established. The separation of full and empty species could be achieved within 10 min and the ratio of peak areas was used to calculate the full/empty capsid ratio directly. The results showed good reproducibility and linearity for the determination of full/empty capsid ratios.

Clinical efficacy of sodium bicarbonate in treating pediatric metabolic acidosis with varying level of acid-base balance parameters: a real-world study.

BACKGROUND: Sodium bicarbonate (SB) infusion is commonly used to correct metabolic acidosis, but its clinical efficacy remains controversial. This study aims to investigate whether acid-base balance parameters should be a consideration for administering SB treatment. METHODS: Children with metabolic acidosis (pH < 7.35 and bicarbonate < 22 mmol/L) who were treated with or without 50 mg/ml SB injection were grouped and extracted from a retrospective cohort database of the Pediatric Intensive Care Unit. The interaction between acid-base balance parameters and SB treatment on mortality was analyzed through mortality curves and cross-effect models. Logistic regression was conducted to estimate the risk of death following SB treatment in the overall children as well as in subgroups, and potential confounding factors were adjusted for. After employing propensity score matching to account for confounding factors, further analysis was performed to evaluate the effectiveness of SB treatment within each chloride subgroup. RESULTS: A total of 5865 children with metabolic acidosis were enrolled, of which 2462 (42.0%) received SB treatment. In the overall population, it was found that SB treatment did not reduce hospital mortality or 28-day mortality. Interactions between acid-base balance parameters (chloride and anion gap) and SB treatment on mortality were observed. Subgroup analysis clarified that when chloride levels were below 107 mmol/L, children treated with SB had higher in-hospital mortality (29.8% vs 14.9%) and 28-day mortality (26.5% vs 13.4%), with adjusted ORs of 2.065 (95% CI, 1.435-2.97) and 1.947 (95% CI, 1.332-2.846), respectively. In contrast, when chloride levels were greater than or equal to 113 mmol/L, children treated with SB had a shorter stay in the PICU (median: 1.1 days vs 5.1 days, adjusted p = 0.004) and lower in-hospital mortality (4.3% vs 10.3%) and 28-day mortality (4.0% vs 8.4%), with adjusted ORs of 0.515 (95% CI, 0.337-0.788) and 0.614 (95% CI, 0.391-0.965), respectively. After controlling for confounding factors through matching, the impact of SB treatment on the risk of death in each chloride subgroup was consistent with the aforementioned results. However, treatment with SB did not significantly increase the risk of death in newborns or children with moderate to severe metabolic acidosis when chloride levels were below 107 mmol/L (p > 0.05). CONCLUSIONS: The use of sodium bicarbonate for treating metabolic acidosis has been found to increase mortality in children with low chloride levels but decrease mortality in those with high chloride levels in this study. Further prospective multi-center clinical studies and basic research are needed to validate these findings.

Early prognostication of critical patients with spinal cord injury: A machine learning study with 1485 cases.

STUDY DESIGN: A retrospective case-series. OBJECTIVE: The study aims to use machine-learning (ML) to predict the discharge destination of spinal cord injury (SCI) patients in the intensive care unit (ICU). SUMMARY OF BACKGROUND DATA: Prognostication following SCI is vital, especially for critical patients who need intensive care. METHODS: Clinical data of patients diagnosed with SCI were extracted from a publicly available ICU database. The firstly recorded data of the included patients were used to develop a total of 98 ML classifiers, seeking to predict discharge destination (e.g. death, further medical care, home). The micro-average area under the curve (AUC) was the main indicator to assess discrimination. The best average-AUC classifier and the best death-sensitivity classifier were integrated into an ensemble classifier. The discrimination of the ensemble classifier was compared with top death-sensitivity classifiers and top average-AUC classifiers. Additionally, prediction consistency and clinical utility were also assessed. RESULTS: A total of 1485 SCI patients were included. The ensemble classifier had a micro-average AUC of 0.851, which was only slightly inferior to the best average-AUC classifier (P=0.10) The best average-AUC classifier death sensitivity was much lower than that of the ensemble classifier. The ensemble classifier had a death sensitivity of 0.452, which was inferior to top 8 death-sensitivity classifiers, whose micro-average AUC were inferior to the ensemble classifier (P<0.05). Additionally, the ensemble classifier demonstrated a comparable Brier score and superior Net benefit in the decision curve analysis, when compared to the performance of the origin classifiers. CONCLUSIONS: The ensemble classifier shows an overall superior performance in predicting discharge destination considering discrimination ability, prediction consistency and clinical utility. This classifier system may aid in the clinical management of critical SCI patients in the early phase following injury. LEVEL OF EVIDENCE: 3.

Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease.

BACKGROUND: Cerebral microbleeds (CMBs) serve as neuroimaging biomarkers to assess risk of intracerebral hemorrhage and diagnose cerebral small vessel disease (CSVD). Therefore, detecting CMBs can evaluate the risk of intracerebral hemorrhage and use its presence to support CSVD classification, both are conducive to optimizing CSVD management. This study aimed to develop and test a deep learning (DL) model based on susceptibility-weighted MR sequence (SWS) to detect CMBs and classify CSVD to assist neurologists in optimizing CSVD management. Patients with arteriolosclerosis (aSVD), cerebral amyloid angiopathy (CAA), and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) treated at three centers were enrolled between January 2017 and May 2022 in this retrospective study. The SWSs of patients from two centers were used as the development set, and the SWSs of patients from the remaining center were used as the external test set. The DL model contains a Mask R-CNN for detecting CMBs and a multi-instance learning (MIL) network for classifying CSVD. The metrics for model performance included intersection over union (IoU), Dice score, recall, confusion matrices, receiver operating characteristic curve (ROC) analysis, accuracy, precision, and F1-score. RESULTS: A total of 364 SWS were recruited, including 336 in the development set and 28 in the external test set. IoU for the model was 0.523 ± 0.319, Dice score 0.627 ± 0.296, and recall 0.706 ± 0.365 for CMBs detection in the external test set. For CSVD classification, the model achieved a weighted-average AUC of 0.908 (95% CI 0.895-0.921), accuracy of 0.819 (95% CI 0.768-0.870), weighted-average precision of 0.864 (95% CI 0.831-0.897), and weighted-average F1-score of 0.829 (95% CI 0.782-0.876) in the external set, outperforming the performance of the neurologist group. CONCLUSION: The DL model based on SWS can detect CMBs and classify CSVD, thereby assisting neurologists in optimizing CSVD management.

The pooled prevalence and influential factors of non-suicidal self-injury in non-clinical samples during the COVID-19 outbreak: A meta-analysis.

BACKGROUND: COVID-19 has had an enormous impact on the mental health of people around the world, particularly adolescents. Non-suicidal self-injury (NSSI) is one of the most prominent and dangerous behaviors associated with suicide. However, few meta-analyses of the NSSI prevalence have ever been conducted since the COVID-19 outbreak. Here, we conducted a meta-analysis to estimate the pooled prevalence and elucidate the influencing factors for NSSI. METHODS: We searched PubMed, Web of Science, Embase, APA PsycINFO, CNKI and Wanfang Database for relevant literature published before April 2022. Pooled prevalence and 95 % confidence interval (CI) were used to assess NSSI prevalence. Subgroup and meta-regression analyses were performed to clarify the potential influencing factors. RESULTS: A total of 15 studies with 24,055 participants were eventually included. The results showed that the pooled overall prevalence of NSSI among overall samples during the COVID-19 pandemic was 22.5 % (95 % CI: 17.2 % to 28.9 %). Subgroup and meta-regression analyses revealed that the crucial influencing factors for NSSI included gender, age, regional distribution, and suicidal ideation. Specifically, the NSSI prevalence among adolescents and adults during the pandemic was 32.40 % and 15.70 %, respectively. Most importantly, gender is a significant influencing factor for NSSI among adolescents. CONCLUSIONS: The pooled prevalence of NSSI during the COVID-19 outbreak has surged to alarming heights, especially among adolescents. The prevalence of NSSI may be influenced by complex factors such as gender and age. Therefore, it is critical to pay attention to NSSI behaviors in the adolescent population, particularly male adolescents who appear to be susceptible.

Relationships among oral hygiene behavior, toothache, and depressive symptoms in Chinese older adults.

OBJECTIVES: The study aims to investigate the relationships among oral hygiene behavior, toothache, and depression among Chinese older adults. METHODS: We used data came from the 2018 wave of Chinese Longitudinal Healthy Longevity Survey (CLHLS). The Center for Epidemiologic Studies Depression Scale was used to evaluate depression. Binary logistic regression was performed to analyze the relationships among oral hygiene behavior, toothache, and depression. RESULTS: A total of 12,172 older adults were included in the study, of whom 27.2% had depression. Compared with those who did not brush their teeth daily, those who brushed their teeth at least once daily exhibited lower odds of having depressive symptoms (odds ratio [OR] = 0.86, 95% confidence interval [CI] = 0.77-0.97 versus OR = 0.81, 95% CI = 0.71-0.93). Compared with those who did not have toothache, those who had toothache over the past 6 months exhibited higher odds of having depression (OR = 1.49, 95% CI = 1.33-1.68). Living arrangement had a significant effect on the correlation between toothache and depression (p = 0.049), who lived alone and had toothache exhibited higher odds of having depressive symptoms. CONCLUSIONS: Oral hygiene behavior and toothache are associated with depression. Taking effective measures to maintain a daily toothbrushing pattern and reduce the occurrence of toothache may mitigate the risk of depression among older adults, especially among those living alone. CLINICAL RELEVANCE: The present study reports that the potential relationship between different oral hygiene behavior, toothache, and depressive symptoms.

Physiological Effects of Co-exposure to Ionizing Radiation and Noise within Occupational Exposure Limits.

ABSTRACT: Workers are frequently exposed to the occupational hazards of ionizing radiation and noise. Co-exposure to these hazards is not well understood in terms of their physiological effects. The aim of this study was to investigate the physiological effects of co-exposure to ionizing radiation and noise within the occupational limit. This study extracted the physical examination parameters of workers who met the screening criteria from the occupational health surveillance database. The workers were divided into three groups: the co-exposure (COE) group, the ionizing radiation exposure (ION) group, and the non-exposure (NON) group. The age and sex of the three groups were matched with a sample size ratio of 1:3:3. The physical examination parameters of the three groups of workers were compared. The results showed that there was no significant difference in blood pressure and blood biochemical parameters among the three groups. The COE group had higher levels of free triiodothyronine than the ION group, but there was no difference with the NON group. Moreover, the COE group had lower levels of free tetraiodothyronine than the ION group and the NON group. There was no significant difference in thyroid stimulating hormone, total triiodothyronine, and total tetraiodothyronine among the three groups. Additionally, the number of white blood cells of the COE group was lower than that of ION group and NON group. This study suggests that co-exposure to low-dose ionizing radiation and noise can cause alterations in thyroid hormone and peripheral white blood cells. These alterations are different from those observed after single exposure to low-dose ionizing radiation and require further research.

Removal of toilet paper fibers from residential wastewater: a life cycle assessment.

Toilet paper has been reported as one of the major insoluble pollutant components in the influent of wastewater treatment plants. Toilet paper fibers contribute to a large production of sewage sludge, resulting in a high treatment cost and high energy consumption. To find energy-efficient, cost-effective, and environment-friendly technologies for fiber removal and resource recovery from wastewater, a life-cycle assessment (LCA) was performed to analyze the wastewater treatment processes, including a sieving process for removing and recovering suspended solids before the biodegradation units. Based on the LCA results, it was estimated that the sieve screening process saved 8.57% of energy consumption. The construction phase of sieving consumed 1.31% energy cost compared with the operation phase. Environmental impact analysis showed that sieving reduced the impacts of climate change, human toxicity, fossil depletion, and particulate matter formation, which reduced the total normalized environmental impacts by 9.46%. The life-cycle analysis of the removal of toilet paper fibers from wastewater revealed the need to use more efficient methods to enhance the recovery of cellulose fibers.

Bidirectional relationship between frailty and cognitive function among Chinese older adults.

BACKGROUND: Frailty and cognitive function are two common aging-related conditions among older adults. This study examined the bidirectional relationship between frailty and cognitive function according to sex. METHODS: All older adults aged ≥65 years who participated in the 2008 and 2014 waves of the Chinese Longitudinal Healthy Longevity Survey were included in this study. Binary logistic regression and generalized estimating equation models were used to determine the bidirectional relationship between frailty and cognitive function in cross-sectional and cohort studies, and sex differences were assessed. RESULTS: We included 12,708 participants who were interviewed in the baseline study. The participants' mean (standard deviation) age was 85.6 (11.1%) years. In the cross-sectional study, the multivariate-adjusted odds ratio (OR; 95% confidence interval [CI]) for pre-frailty and frailty among participants with cognitive impairment was 3.68 (3.29-4.13). Older adults with pre-frailty and frailty had higher risks of cognitive impairment (OR = 3.79, 95% CI: 3.38-4.25). The GEE models showed that pre-frailty and frailty predicted a higher likelihood of cognitive impairment (OR = 2.02, 95% CI, 1.67-2.46) during follow-up. Moreover, the temporal relationship between these relationships differed slightly by sex. Older women with cognitive impairment at baseline were more likely to develop pre-frailty or frailty than did older men. CONCLUSIONS: This study demonstrated a significant bidirectional relationship between frailty and cognitive function. Moreover, this bidirectional relationship varied by sex. These findings confirm the need to integrate sex-specific interventions for frailty and cognitive functioning problems to improve the quality of life of older adults.

High nutrition literacy linked with low frequency of take-out food consumption in chinese college students.

BACKGROUND: The excessive consumption of take-out food has increased the risk of nutrition-related chronic diseases. Nutrition literacy (NL) is an important influencing factor of food choice. This study aimed to explore the relationship between nutrition literacy and take-out food consumption. METHODS: A cross-sectional study was conducted on 2130 college students in Bengbu, China. A self-reported questionnaire that included demographic information, lifestyle behavior, take-out food consumption, and nutrition literacy scale was used. Ordinal logistic regression models were used to analyze the association between nutrition literacy and take-out food consumption. RESULTS: Of the students surveyed, 61.5% consumed take-out food at least once a week. NL was significantly associated with the frequency of take-out food consumption ≥ 4 times/week (OR = 0.995, 95% CI = 0.990-1.000); the difference specifically was discovered for applying skills, interactive skills, and critical skills. Moreover, students with high level NL ate less (Spicy) hot pot (OR = 0.996, 95% CI = 0.992-1.000), but more vegetable and fruit salad (OR = 1.009, 95% CI = 1.002-1.015). CONCLUSIONS: NL, especially in applying skills, interactive skills, and critical skills, is not only associated with consumption frequency of take-out food among college students, but also links with types of take-out food consumption. Our findings emphasize that targeted interventions on nutritional skills literacy should be needed to improve dietary behaviors for student's good health.