Effect of commuting on the risk of COVID-19 and COVID-19-induced anxiety in Japan, December 2020

Abstract Background To prevent the spread of coronavirus disease (COVID-19), it is important to avoid 3Cs (closed spaces, crowded places, and close-contact settings). However, the risk of contact with an unspecified number of people is inevitable while commuting to and from work. In this study, we investigated the relationship between commuting, and the risk of COVID-19 and COVID-19-induced anxiety. Methods An internet-based questionnaire survey was conducted to obtain a dataset from 27,036 respondents. One-way commuting time was evaluated using a five-case method. The commuting distance was estimated using zip codes of the home and workplace. Logistic regression analysis was performed with the following outcomes: COVID-19 risk, close contact, infection anxiety, and infection anxiety due to commuting. Commuting distance and commuting time were analyzed separately in the model. We excluded participants with incalculable commuting distance, commuting distance exceeding 300 km, commuting distance of 0 km, or who telecommuted at least once a week. Results The total number of participants included in the analysis was 14,038. The adjusted odds ratios (aORs) of using public transportation for severe acute respiratory syndrome coronavirus 2 infection were 4.17 (95% confidence interval [CI]: 2.51–6.93) (commuting time) and 5.18 (95% CI: 3.06–8.78) (commuting distance). The aOR of COVID-19 diagnosis decreased significantly with increasing commuting distance. The aORs of using public transportation to infection anxiety were 1.44 (95% CI: 1.31–1.59) (commuting time) and 1.45 (95% CI: 1.32–1.60) (commuting distance). The longer the commuting time, the more the aOR increased. Conclusions COVID-19 risk, close contact, and infection anxiety were all associated with the use of public transportation during commuting. Both commuting distance and time were associated with infection anxiety due to commuting, and the strength of the association increased with increase in commuting time distance. Since transportation by commuting is associated with COVID-19 risk and anxiety, we recommend the use of telecommuting and other means of work.

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Study on the relationship of depression, anxiety, lifestyle and eating habits with the severity of reflux esophagitis

BMC Gastroenterology ◽

10.1186/s12876-021-01717-5 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Rongxin Wang ◽

Jing Wang ◽

Shuiqing Hu

Keyword(s):

Quality Of Life ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Reflux Esophagitis ◽

Eating Habits ◽

Positive Correlation ◽

Relationship Of ◽

The Relationship

Abstract Background The etiology of reflux esophagitis (RE) is multi-factorial. This study analyzed the relationship of depression, anxiety, lifestyle and eating habits with RE and its severity and further explored the impact of anxiety and depression on patients’ symptoms and quality of life. Methods From September 2016 to February 2018, a total of 689 subjects at Xuanwu Hospital Capital Medical University participated in this survey. They were divided into the RE group (patients diagnosed with RE on gastroscopy, n = 361) and the control group (healthy individuals without heartburn, regurgitation and other gastrointestinal symptoms, n = 328). The survey included general demographic information, lifestyle habits, eating habits, comorbidities, current medications, the gastroesophageal reflux disease (GERD) questionnaire (GerdQ), the Patient Health Questionnaire-9 depression scale and the General Anxiety Disorder-7 anxiety scale. Results The mean age and sex ratio of the two groups were similar. Multivariate logistic regression analysis identified the following factors as related to the onset of RE (p < 0.05): low education level; drinking strong tea; preferences for sweets, noodles and acidic foods; sleeping on a low pillow; overeating; a short interval between dinner and sleep; anxiety; depression; constipation; history of hypertension; and use of oral calcium channel blockers. Ordinal logistic regression analysis revealed a positive correlation between sleeping on a low pillow and RE severity (p = 0.025). Depression had a positive correlation with the severity of symptoms (rs = 0.375, p < 0.001) and patients’ quality of life (rs = 0.306, p < 0.001), whereas anxiety showed no such association. Conclusions Many lifestyle factors and eating habits were correlated with the onset of RE. Notably, sleeping on a low pillow was positively correlated with RE severity, and depression was positively related to the severity of symptoms and patients’ quality of life.

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LDH, CRP and ALB predict nucleic acid turn negative within 14 days in symptomatic patients with COVID-19

Scottish Medical Journal ◽

10.1177/0036933021994243 ◽

2021 ◽

pp. 003693302199424

Author(s):

Gaoli Liu ◽

Bicheng Zhang ◽

Shaowen Zhang ◽

Haifeng Hu ◽

TingTing Liu

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Nucleic Acid ◽

Hospital Stay ◽

Prognostic Marker ◽

Roc Curve ◽

Prognostic Value ◽

Statistical Significance ◽

Biochemical Indicators ◽

The Relationship

Aims To search for biochemical indicators that can identify symptomatic patients with COVID-19 whose nucleic acid could turn negative within 14 days, and assess the prognostic value of these biochemical indicators in patients with COVID-19. Patients and methods We collected the clinical data of patients with COVID-19 admitted to our hospital, by using logistic regression analysis and AUC curves, explored the relationship between biochemical indicators and nucleic acid positive duration, the severity of COVID-19, and hospital stay respectively. Results A total of two hundred and thirty-three patients with COVID-19 were enrolled in the study. We found patients whose nucleic acid turned negative within 14 days had lower LDH, CRP and higher ALB ( P < 0.05). ROC curve results indicated that lower LDH, TP, CRP and higher ALB predicted the nucleic acid of patients turned negative within 14 days with statistical significance( P < 0.05), AST, LDH, CRP and PCT predicted the severe COVID-19 with statistical significance, and CRP predicted hospital stay >31days with statistical significance ( P < 0.05). After verification, the probability of nucleic acid turning negative within 14 days in patients with low LDH (<256 U/L), CRP (<44.5 mg/L) and high ALB (>35.8 g/L) was about 4 times higher than that in patients with high LDH, CRP and low ALB ( P < 0.05). Conclusions LDH, CRP and ALB are useful prognostic marker for predicting nucleic acid turn negative within 14 days in symptomatic patients with COVID-19.

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Association Between Triglyceride Glucose Index and Non-Small Cell Lung Cancer Risk in Chinese Population

Frontiers in Oncology ◽

10.3389/fonc.2021.585388 ◽

2021 ◽

Vol 11 ◽

Author(s):

Xin Yan ◽

Yujuan Gao ◽

Jingzhi Tong ◽

Mi Tian ◽

Jinghong Dai ◽

...

Keyword(s):

Lung Cancer ◽

Logistic Regression ◽

Regression Analysis ◽

Cancer Risk ◽

Small Cell Lung Cancer ◽

Roc Curve ◽

Small Cell ◽

Small Cell Lung ◽

Tyg Index ◽

The Relationship

BackgroundNumerous studies showed that insulin resistance (IR) was associated with cancer risk. However, few studies investigated the relationship between IR and non-small cell lung cancer (NSCLC). The aim of this study is to explore the association of triglyceride glucose (TyG) index, a simple surrogate marker of IR, with NSCLC risk.Methods791 histologically confirmed NSCLC cases and 787 controls were enrolled in the present study. Fasting blood glucose and triglyceride were measured. The TyG index was calculated as ln [fasting triglycerides (mg/dl) ×fasting glucose (mg/dl)/2]. Logistic regression analysis was performed to estimate the relationship between NSCLC risk and the TyG index.ResultsThe TyG index was significantly higher in patients with NSCLC than that in controls (8.42 ± 0.55 vs 8.00 ± 0.45, P < 0.01). Logistic regression analysis showed that the TyG index (OR = 3.651, 95%CI 2.461–5.417, P < 0.001) was independently associated with NSCLC risk after adjusting for conventional risk factors. In addition, a continuous rise in the incidence of NSCLC was observed along the tertiles of the TyG index (29.4 vs 53.8 vs 67.2%, P < 0.001). However, there were no differences of the TyG index in different pathological or TNM stages. In receiver operating characteristic (ROC) curve analysis, the optimal cut-off level for the TyG index to predict incident NSCLC was 8.18, and the area under the ROC curve (AUROC) was 0.713(95% CI 0.688–0.738).ConclusionsThe TyG index is significantly correlated with NSCLC risk, and it may be suitable as a predictor for NSCLC.

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Trust in police as an influencing factor on trust in government: 2SLS analysis using perception of safety

Policing An International Journal of Police Strategies and Management ◽

10.1108/pijpsm-11-2019-0172 ◽

2020 ◽

Vol 43 (4) ◽

pp. 541-558

Author(s):

Jisu Jeong ◽

Seunghui Han

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Trust In Government ◽

Content Type ◽

Perception Of Safety ◽

Ordered Logistic Regression ◽

The Impact ◽

The Relationship ◽

Trust In Police

PurposeCitizen trust in police is important in terms of citizen consent to government policies and of police achieving their organizational goals. In the previous study, improvements in police policy, organizational operation and policing activities were developed to clarify which factors influence trust in police and how trust can be improved. This research raises the question, would changes in trust in police have an impact on trust in government? In this paper, this research question is discussed theoretically and the causal relationship analyzed empirically by applying OLS, ordered logistic, 2SLS and logistic regressions.Design/methodology/approachThe basic analysis methods are to apply the OLS and the ordered logistic regression. OLS regression analysis is an analytical method that minimizes an error range of a regression line. The assumptions for OLS are: linearity, independence, equilibrium, extrapolation and multicollinearity issues. These problems were statistically verified and analyzed, in order to confirm the robustness of the analysis results by comparing the results of the ordered logistic regression because of the sequence characteristic of the dependent variable. The data to be used in this study is the Asia Barometer Survey in 2013.FindingsTrust in police and citizen perception of safety are analyzed as important factors to increase trust in the government. The effects of trust in police are more significant than the effects of control variables, and the direction and strength of the results are stable. The effect of trust in police on trust in government is strengthened by the perception of safety (IV). In addition, OLS, ordered logistic regression analysis, which analyzed trust in central government and local government, and logistic regression analysis categorized by trust and distrust show the stability.Research limitations/implicationsThis paper has implications in terms of theoretical and empirical analysis of the relationship between trust in police and trust in government. In addition, the impact of perception of safety on trust in police can be provided to police officers, policymakers and governors who are seeking to increase trust in government. This paper is also meaningful in that it is the microscopic research based on the citizens' survey. One of the limitations of macroscopic research is that it does not consider the individual perceptions of citizens.Practical implicationsThe results of this paper can confirm the relationship of the virtuous cycle, which is perception of safety – trust in police – trust in government. The police will need to provide security services to improve citizens' perception of safety and make great efforts to create safer communities and society. Trust in police formed through this process can be an important component of trust in government. By making citizens feel safer and achieving trust in police, ultimately, trust in government will be improved.Originality/valueThe police perform one of the essential roles of government and are one of the major components of trust in government, but the police sector has been neglected compared to the roles of the economic and political sectors. These influences of macro factors are too abstract to allow specific policy directions to be suggested. If we consider trust in police, and factors that can improve trust in government, we can suggest practical policy alternatives.

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Cigarette smoking and psychotic symptoms in bipolar affective disorder

The British Journal of Psychiatry ◽

10.1192/bjp.179.1.35 ◽

2001 ◽

Vol 179 (1) ◽

pp. 35-38 ◽

Cited By ~ 50

Author(s):

Aiden Corvin ◽

Ed O'Mahony ◽

Myra O'Regan ◽

Claire Comerford ◽

Robert O'Connell ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Affective Disorder ◽

Bipolar Affective Disorder ◽

Psychotic Symptoms ◽

Heavy Smoking ◽

Ordinal Logistic Regression Analysis ◽

History Of ◽

Categorical Diagnosis ◽

The Relationship

BackgroundAn association exists between smoking and schizophrenia, independent of other factors and related to psychotic symptomatology.AimsTo determine whether smoking is associated with psychosis in bipolar affective disorder.MethodSmoking data were collected from 92 unrelated patients with bipolar affective disorder. An ordinal logistic regression analysis tested the relationship between smoking severity and psychotic symptomatology, allowing for potential confounders.ResultsA significant relationship was detected between smoking/heavy smoking and history of psychosis (68.7%, n=44). Smoking was less prevalent in patients who were less symptomatic (56.5%, n=13) than in patients with a more severe psychosis (75.7%, n=31). Prevalence and severity of smoking predicted severity of psychotic symptoms (P=0.001), a relationship independent of other variables (P=0.0272).ConclusionA link between smoking and psychosis exists in bipolar affective disorder and may be independent of categorical diagnosis.

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Current Status of Disaster Preparedness of Pharmacies and Differences in Disaster Awareness Based on Pharmacy Size

Disaster Medicine and Public Health Preparedness ◽

10.1017/dmp.2018.160 ◽

2019 ◽

Vol 13 (4) ◽

pp. 753-757 ◽

Cited By ~ 1

Author(s):

Kayoko Ozeki ◽

Toshiyuki Ojima

Keyword(s):

Public Health ◽

Logistic Regression ◽

Regression Analysis ◽

Disaster Preparedness ◽

Disaster Mitigation ◽

Mitigation Measures ◽

Current Status ◽

Disaster Victims ◽

Subgroup Analyses ◽

The Relationship

ABSTRACTObjectiveThe prevention of deaths caused indirectly by disasters is important, especially for evacuees requiring medication. Pharmacies play a major role in providing medication to disaster victims. Therefore, this study evaluated the current status of disaster preparedness among pharmacies, the extent of disaster awareness and knowledge of disaster mitigation measures, and any associations of these with the characteristics of pharmacies.MethodsQuestionnaires about disaster preparedness were sent to 337 pharmacies in Japan, in a region at high risk of major earthquakes. Tabulation analyses were carried out to examine the characteristics of pharmacies and then a logistic regression analysis was performed to examine the relationship between disaster awareness and the level of preparedness of pharmacies. Furthermore, to examine in detail any differences associated with pharmacy size, subgroup analyses were performed.ResultsHigh disaster awareness was significantly correlated with adequate disaster preparedness. However, in the subgroup analyses, no significant differences were observed among large pharmacies. In contrast, disaster awareness was significantly related to the disaster preparedness of small pharmacies.ConclusionThe findings suggest that the disaster preparedness of pharmacies is related to the level of disaster awareness, highlighting the importance of disaster awareness activities in ordinary times before a disaster. (Disaster Med Public Health Preparedness. 2019;13:753–757)

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Association of Mannose Binding Lectin (MBL-2) Deficiency with Pulmonary Infection after Allogeneic Hematopoietic Stem Cell Transplantation (HSCT).

Blood ◽

10.1182/blood.v112.11.2209.2209 ◽

2008 ◽

Vol 112 (11) ◽

pp. 2209-2209

Author(s):

Dick Chung ◽

Lily Ding ◽

Isabelle Amigues ◽

Katuna Kadeishvili ◽

Theresa Lo ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Stem Cell ◽

Logistic Regression Analysis ◽

Pulmonary Infection ◽

Multivariate Logistic Regression Analysis ◽

Wild Type ◽

Multivariate Logistic Regression ◽

Increased Risk ◽

The Relationship

Abstract Background: Low MBL2 concentration and MBL2 genotype variants have been associated with an increased risk of infection in various clinical settings. Pulmonary infection is a major complication of HSCT. We examined the relationship of MBL genotypes with post-engraftment bacterial (B-PNA) and fungal (F-PNA) pneumonia Methods: Retrospective review of 236 non-consecutive, non-selected patients who underwent HSCT at MSKCC from 1/1/2000–4/30/2007. Microbiologically confirmed infections and pneumonias were recorded. Antifungal prophylaxis consisted of fluconazole 400 mg daily. Patients at high risk for mold infection received mold-active prophylaxis. After 1/1/2006 voriconazole was the first line anti-mold prophylaxis. Genotype was determined by PR-Melting Curve Analysis on blood or buccal swab specimens. MBL genotype was classified as wild-type: A/A (MBL-sufficient, MBL-S) or variant-type: A/O, O/O (MBL deficient, MBL-D). Patients were followed for up to 2 years. Statistical analysis: Fisher’s Exact test was used to compare the incidence rate between MBL-S and MBL-D patients. Multivariate logistical regression models were used to investigate the relationship between bacterial or fungal pneumonia and MBL genotype, matched related donor (MRD), myeloablative conditioning (MC) peripheral blood as stem cell source (PBSC), acute GVHD grade 2–4 (aGVHD). The results from Maximum Likelihood Estimates were summarized. Results: Transplant characteristics: 80% MC, 76% PBSC, 48.6% MRD. Incidence of aGVHD: 22.4%. MBL genotypes: One-hundred and forty-two (60%) patients were homozygous for wild-type MBL2 (AA), 85(36%) were heterozygous (A/0) and 9 (3.8%) were homozygous for variant genotypes (OO). Transplant characteristics, rates of GVHD, relapse-free and overall survival were similar between MBL-D and MBL-S. There was higher incidence of overall bacterial infections in MBL-D compared to MBL-S pts (47.87% vs 36.62%, p=0.1049). MBL-D had a higher incidence of B-PNA (12.7% vs 4.9%, p=0.048). In multivariate logistic regression analysis, MBL-D(p=0.04) and aGVHD(p=0.06) were likely associated with B-PNA. Rates of overall fungal infections and F-PNA were similar [among MBL-D and MBL-S pts (12.77% vs 9.86%, p=0.5277) and (8.51% vs 7.75%, p=0.1049) respectively]. In multivariate logistic regression analysis only aGVHD was statistically significantly associated with F-PNA p=0.0002. Conclusions: 1) MBL-D genotype was likely associated with increased risk of bacterial pneumonia. 2) MBL-D and aGVHD were risk factors for B-PNA. 3) Further analyses are in progress to evaluate the effect of MBL-D on fungal pneumonia in patients who received mold prophylaxis versus patients who did not receive mold prophylaxis. 4) Prospective studies are needed to assess the relative contribution of MBL-D genotype on the risk of pulmonary infection in HSCT.

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Weight Loss in Parkinson’s Disease: The Relationship with Motor Symptoms and Disease Progression

BioMed Research International ◽

10.1155/2018/9642524 ◽

2018 ◽

Vol 2018 ◽

pp. 1-6 ◽

Cited By ~ 11

Author(s):

Maria G. Cersosimo ◽

Gabriela B. Raina ◽

Luis A. Pellene ◽

Federico E. Micheli ◽

Cristian R. Calandra ◽

...

Keyword(s):

Weight Loss ◽

Logistic Regression ◽

Regression Analysis ◽

Disease Progression ◽

Logistic Regression Analysis ◽

Disease Duration ◽

Multivariable Logistic Regression Analysis ◽

Single Session ◽

Multivariable Logistic Regression ◽

The Relationship

Objectives.To determine the prevalence of weight loss (WL) in PD patients, its relationship to the severity of motor manifestations and appetite changes.Methods.144 PD patients and 120 controls were evaluated in a single session. All subjects were asked about changes in body weight and appetite. PD patients were examined with the UPDRS-III and the Hoehn and Yahr (HY) scales. Subscores of tremor, bradykinesia /rigidity, and non-dopaminergic symptoms (NDS) were analyzed individually. Multivariable logistic regression analysis was used to determine an association between WL and PD motor manifestations.Results.48.6 % of PD patients presented WL compared to 20.8 % of controls (p < 0.001). Weight losers were significantly older and had longer disease duration, higher scores in HY stages, UPDRS-III, and NDS-subscore. Multivariable logistic regression analysis demonstrated that WL was associated with NDS-subscore (p= 0.002; OR: 1.33) and older age (p= 0.037; OR: 1.05). Appetite in PD cases losing weight was unchanged (35.7 %), decreased (31.4 %), or even increased (32.9).Conclusions.Our results showed that WL occurs in almost half of PD patients and it is largely the consequence of disease progression rather than involuntary movements or a decrease in food intake.

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Operative wound-related complications after cranial revascularization surgeries

Journal of Neurosurgery ◽

10.3171/2014.12.jns132602 ◽

2015 ◽

Vol 123 (5) ◽

pp. 1145-1150 ◽

Cited By ~ 21

Author(s):

Keisuke Takanari ◽

Yoshio Araki ◽

Sho Okamoto ◽

Hideyoshi Sato ◽

Shunjiro Yagi ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Blood Supply ◽

Operative Technique ◽

Multivariate Logistic Regression Analysis ◽

Wound Complication ◽

Wound Complications ◽

Multivariate Logistic Regression ◽

The Relationship

OBJECT Intracranial revascularization surgeries are an effective treatment for moyamoya disease and other intracranial vascular obliterative diseases. However, in some cases, wound-related complications develop after surgery. Although the incidence of wound complication is supposed to be higher than that with a usual craniotomy, this complication has rarely been the focus of studies in the literature that report the outcomes of revascularization surgeries. Here, the relationship between intracranial revascularization surgeries and their complications is statistically assessed. METHODS Between October 2004 and February 2010, 71 patients were treated using cerebral revascularization surgeries on 98 sides of the head. The relationship between wound complications and operative technique was retrospectively assessed. Multivariate logistic regression analysis was performed to identify the risk factors of wound complication, including operative technique, age, sex, diabetes mellitus (DM), hypertension, hyperlipidemia, and smoking history. RESULTS In total, there were 21 (21.4%) operative wound complications. Of these 21 complications, there were 14 (66.7%) minor complications and 7 (33.3%) major complications. No statistically significant relationship was found between wound complications and any surgical procedure. A trend toward severer complications was demonstrated for the procedures that used both STA branches (“double” procedures) in comparison with the procedures that used only 1 STA branch (“single” procedures, p = 0.016, Cochran-Armitage trend test). Multivariate logistic regression analysis also revealed that double procedures demonstrated a significantly higher incidence of wound complications than single procedures (OR 3.087, p = 0.048). DM was found to be a risk factor for wound complication (OR 9.42, p = 0.02), but age, sex, hypertension, and hyperlipidemia were not associated with the incidence of complications. Even though the blood supply to the scalp is abundant due to 5 arteriovenous systems, sometimes cutaneous necrosis develops after intracranial revascularization surgeries. The galeal blood supply is thought to be crucial for preventing wound-related complications. Special care is also thought to be required for DM patients. CONCLUSIONS Revascularization surgeries seemed to demonstrate a higher risk of wound-related complications. Double-type procedures, which use both branches of the STA, and a history of DM were found to be risk factors for wound-related complications. Attention should be paid to the design of the galeal incision and vessel harvest line. Also, special attention should be paid to patients with DM.

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The Relationship Between Hemodialysis Modality and Insulin Resistance in Non-Diabetic Hemodialysis Patients

Blood Purification ◽

10.1159/000368882 ◽

2015 ◽

Vol 39 (1-3) ◽

pp. 224-229 ◽

Cited By ~ 3

Author(s):

Sung Jin Moon ◽

Jung Eun Lee ◽

Jwa-Kyung Kim ◽

Soo Young Yoon ◽

Shin Wook Kang ◽

...

Keyword(s):

Insulin Resistance ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Hemodialysis Patients ◽

Model Assessment ◽

Multivariate Logistic Regression ◽

Factors Associated ◽

The Relationship

Background: Although various modalities of hemodialysis (HD) are presumed to have different effects on insulin resistance (IR), the relationship between hemodiafiltration (HDF) and IR has not been fully evaluated. Methods: In a cross-sectional study, 82 non-diabetic HD patients were enrolled. The patients were divided into two groups according to the median homeostasis model assessment index (HOMA-IR) value of 1.685. Clinical and biochemical data were compared, and multivariate logistic regression analysis was performed to identify the independent factors associated with higher HOMA-IR. Results: The higher HOMA-IR group had increased body mass index (BMI), decreased HDL cholesterol, and lower beta-2 microglobulin reduction rate (β2-MG RR) compared to the lower HOMA-IR group. HOMA-IR was significantly correlated with β2-MG RR. In addition, HDF patients had lower HOMA-IR levels compared with low flux hemodialysis patients. On multivariate logistic regression analysis, BMI and HDF treatment were independent factors associated with higher and lower HOMA-IR, respectively. Conclusion: This study suggests that HDF treatment may reduce IR in non-diabetic HD patients.

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