scholarly journals Cigarette smoking and psychotic symptoms in bipolar affective disorder

2001 ◽  
Vol 179 (1) ◽  
pp. 35-38 ◽  
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.

scholarly journals Telecommuting intensity among Japanese workers according to regional cumulative COVID-19 incidence: a cross-sectional study

2021 ◽  
Author(s):  
Hiroka Baba ◽  
Kazunori Ikegami ◽  
Hajime Ando ◽  
Hisahi Eguchi ◽  
Mayumi Tsuji ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Predictor Variable ◽  
Cross Sectional Study ◽  
Office Workers ◽  
Sectional Study ◽  
Cross Sectional ◽  
Japanese Workers ◽  
Ordinal Logistic Regression Analysis ◽  
The Relationship

This study aimed to examine the relationship between telecommuting and the regional cumulative COVID-19 incidence. This was a cross-sectional study analyzing 13,468 office workers. The participant groups, according to the level of cumulative COVID-19 incidence by prefecture, were used as the predictor variable, and telecommuting frequency and preference were used as outcomes. We employed an ordinal logistic regression analysis. In regions with a high cumulative COVID-19 incidence, the proportion of participants who telecommuted more than two days per week was 34.7%, which was approximately 20% higher than in other regions. Telecommuting preference was stronger in areas with higher COVID-19 influence. However, in other regions, the proportion of participants who did not want to telecommute was higher than that of those who wanted to telecommute. We found that telecommuting frequency and preference were higher in regions with high cumulative COVID-19 incidence.

scholarly journals Long-Term Use of Metformin Is Associated With Reduced Risk of Cognitive Impairment With Alleviation of Cerebral Small Vessel Disease Burden in Patients With Type 2 Diabetes

2021 ◽  
Vol 13 ◽  
Author(s):  
Zhenjie Teng ◽  
Jing Feng ◽  
Qianqian Qi ◽  
Yanhong Dong ◽  
Yining Xiao ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Logistic Regression Analysis ◽  
Small Vessel Disease ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Ordinal Logistic Regression Analysis ◽  
History Of

Objective: Type 2 diabetes (T2D) is a risk factor for cognitive impairment and cerebral small vessel disease (CSVD). The relation of metformin use and cognitive impairment or CSVD is not clear. The objective of this study was to investigate the cross-sectional effects of long-term use of metformin on total CSVD burden and cognitive function in patients with T2D.Methods: A total of 234 participants with T2D from the memory clinic in Hebei General Hospital were enrolled in this retrospective study. Duration of metformin use and dosage were recorded. Along with cerebral magnetic resonance imaging (MRI) examination, Mini-Mental State Examination (MMSE) was also performed to assess their cognitive status. We determined the validated total CSVD score (ranging from 0–4) by combining four markers of CSVD that were visually rated. We used binary logistic regression analysis, ordinal logistic regression analysis and mediation analysis to assess the relation of long-term use of metformin with CSVD burden and cognitive function.Results: Binary logistic regression analysis showed long-term use of metformin was associated with reducing the risk of cognitive impairment (OR: 0.446; 95% Confidence Interval (CI): 0.249 to 0.800; P = 0.007), after adjustment of potential confounders, such as total CSVD burden score, age, HbA1c, hypertension, history of stroke, homocysteine, body mass index, TG and HDL-C. Ordinal logistic regression analysis suggested that long-term use of metformin was associated with alleviation of total CSVD burden score (OR: 0.583; 95% CI: 0.359 to 0.943; P = 0.027), after adjusting for age, HbA1c, hypertension, history of stroke, homocysteine, body mass index, TG and HDL-C. Mediation analysis showed significant mediation by the presence of severe CSVD burden score for long-term use of metformin in relation to cognitive impairment.Conclusion: Long-term use of metformin was associated with lower rates of cognitive impairment and lower total CSVD burden score in patients with T2D. A proportion of the relation between long-term use of metformin and cognitive impairment may be attributable to alleviation of CSVD burden.

Higher Activity and Quality of Life Correlates with Swallowing Function in Older Adults with Low Activities of Daily Living

Gerontology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Miki Ishii ◽  
Kazuharu Nakagawa ◽  
Kanako Yoshimi ◽  
Takuma Okumura ◽  
Shohei Hasegawa ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Regression Analysis ◽  
Daily Living ◽  
Swallowing Function ◽  
Consciousness Level ◽  
Ordinal Logistic Regression Analysis ◽  
History Of ◽  
The Relationship

<b><i>Introduction:</i></b> The aim of this study was to clarify the relationship among swallowing function, activity, and quality of life (QOL) in older adults with low activities of daily living (ADL). <b><i>Materials and Methods:</i></b> We conducted a cross-sectional study. In total, 271 Japanese adults aged over 65 years who underwent medical intervention at their residence (male: <i>n</i> = 107; female: <i>n</i> = 164; mean age = 84.6 ± 8.3 years) participated. We collected data regarding age, sex, body mass index (BMI), residence (their house/nursing home), activity status, consciousness level (eye response), history of aspiration pneumonia, other medical history, number of medication types, frequency of going out, and time spent away from bed. We judged consciousness level (eye response) using the Glasgow Coma Scale (GCS), calculated the Charlson comorbidity index, measured QOL using the short version of the Quality of Life Questionnaire for Dementia (short QOL-D), and assessed swallowing function using the Functional Oral Intake Scale (FOIS). To examine the relationship between scores for the FOIS and the other variables, we used the Spearman rank correlation coefficient and ordinal logistic regression analysis. <b><i>Results:</i></b> The FOIS was strongly correlated with BMI (ρ = 0.47), activity status (ρ = −0.60), GCS (ρ = −0.41), time spent away from bed (ρ = 0.56), scores for the short QOL-D (ρ = 0.40), weakly correlated with history of aspiration pneumonia (ρ = −0.27), and frequency of going out (ρ = 0.39). Results for the ordinal logistic regression analysis showed that the FOIS was associated with activity status, frequency of going out, time spent away from bed, and scores for the short QOL-D. <b><i>Conclusion:</i></b> The swallowing function of older adults with low ADL was related to their QOL and activities, such as time spent away from bed and home. Thus, in rehabilitation programs for swallowing function in older adults, not only functional but also psychological approaches may prove effective.

Bipolar Affective Disorder Minus Left Prefrontal Cortex Equals Schizophrenia

1996 ◽  
Vol 168 (5) ◽  
pp. 647-650 ◽  
Author(s):  
Alfred Pang ◽  
Shôn W. Lewis
Keyword(s):  
Prefrontal Cortex ◽  
Affective Disorder ◽  
Past History ◽  
Single Case ◽  
Bipolar Affective Disorder ◽  
Specific Pattern ◽  
Left Temporal Lobe ◽  
Single Case Report ◽  
History Of ◽  
The Relationship

BackgroundAn investigation of the relationship between bipolar affective disorder and schizophrenia, following a severe head injury and removal of the left prefrontal cortex.MethodA single case report.ResultsAn individual with past history of bipolar affective disorder suffered traumatic damages to the left prefrontal cortex with a second lesion in the left temporal lobe. The patient developed typical schizophrenia nine months later. The relevance of his brain lesions in determining the schizophrenic symptoms is discussed.ConclusionWe propose that the specific pattern of brain injury in this patient was sufficient to change the phenotype from bipolar affective disorder to schizophrenia.

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

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.

scholarly journals Cross-Sectional Association between Hypercholesterolemia and Knee Pain in the Elderly with Radiographic Knee Osteoarthritis: Data from the Korean National Health and Nutritional Examination Survey

2021 ◽  
Vol 10 (5) ◽  
pp. 933
Author(s):  
Byung Woo Cho ◽  
Du Seong Kim ◽  
Hyuck Min Kwon ◽  
Ick Hwan Yang ◽  
Woo-Suk Lee ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Knee Pain ◽  
Logistic Regression Analysis ◽  
National Health ◽  
Large Scale ◽  
Metabolic Diseases ◽  
The Elderly ◽  
Cross Sectional ◽  
Ordinal Logistic Regression Analysis

Few studies have reported the relationship between knee pain and hypercholesterolemia in the elderly population with osteoarthritis (OA), independent of other variables. The aim of this study was to reveal the association between knee pain and metabolic diseases including hypercholesterolemia using a large-scale cohort. A cross-sectional study was conducted using data from the Korea National Health and the Nutrition Examination Survey (KNHANES-V, VI-1; 2010–2013). Among the subjects aged ≥60 years, 7438 subjects (weighted number estimate = 35,524,307) who replied knee pain item and performed the simple radiographs of knee were enrolled. Using multivariable ordinal logistic regression analysis, variables affecting knee pain were identified, and the odds ratio (OR) was calculated. Of the 35,524,307 subjects, 10,630,836 (29.9%) subjects experienced knee pain. Overall, 20,290,421 subjects (56.3%) had radiographic OA, and 8,119,372 (40.0%) of them complained of knee pain. Multivariable ordinal logistic regression analysis showed that among the metabolic diseases, only hypercholesterolemia was positively correlated with knee pain in the OA group (OR 1.24; 95% Confidence Interval 1.02–1.52, p = 0.033). There were no metabolic diseases correlated with knee pain in the non-OA group. This large-scale study revealed that in the elderly, hypercholesterolemia was positively associated with knee pain independent of body mass index and other metabolic diseases in the OA group, but not in the non-OA group. These results will help in understanding the nature of arthritic pain, and may support the need for exploring the longitudinal associations.

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

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.

Lithium use in a patient on haemodialysis with bipolar affective disorder and lithium-induced nephropathy

2021 ◽  
Vol 14 (7) ◽  
pp. e242841
Author(s):  
Sam Topp ◽  
Emma Salisbury
Keyword(s):  
Affective Disorder ◽  
Bipolar Affective Disorder ◽  
Manic Episode ◽  
Dose Titration ◽  
Dialysis Session ◽  
Treatment Resistant ◽  
History Of ◽  
End Stage ◽  
Level Monitoring

Lithium is an effective mood stabiliser used to treat bipolar affective disorder (BPAD); however, it can also adversely affect the kidneys, causing acute toxic effects, nephrogenic diabetes insipidus, chronic renal dysfunction and end-stage kidney disease (ESKD) in a minority of patients. We describe the case of a man with a 34-year history of BPAD type-1 and a 2-year history of ESKD secondary to lithium-induced nephropathy who experienced a manic relapse. He previously responded well to lithium but, following a deterioration in kidney function, was switched to olanzapine and sodium valproate. This precipitated a period of instability, which culminated in a treatment-resistant manic episode requiring hospital admission. After a multidisciplinary team discussion, lithium therapy was restarted and provided remission. This was achieved safely through a reduced dosing schedule of three times a week post dialysis, slow dose titration and blood level monitoring prior to each dialysis session.

scholarly journals PELUANG ALUMNI PENDIDIKAN MATEMATIKA FKIP UMB DALAM MENDAPATKAN PEKERJAAN DENGAN MENGGUNAKAN ANALISIS REGRESI LOGISTIK

2017 ◽  
Vol 10 (2) ◽  
pp. 85
Author(s):  
Mahyudi Mahyudi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Mathematics Education ◽  
Survey Data ◽  
Logistic Regression Analysis ◽  
Work Experience ◽  
National Origin ◽  
College Graduation ◽  
The Road ◽  
Ordinal Logistic Regression Analysis

Graduation or college graduation become the most exciting moment for a student. In addition to successfully get a degree, they are also eager to enter the workforce. But sometimes the spirit was lost in the middle of the road. Many fresh graduates complain of difficult to get a job at this time. Every year the number of graduates to grow while jobs are not directly proportional to the increase in the number of graduates. The study analyzed what are the chances of graduates Mathematics Education FKIP Muhammadiyah University of Bengkulu in getting a job. Samples taken as many as 78 graduates between September 2015 to April 2016. The factors considered were gender, age, GPA, national origin, jobs for college and the work areas as desired. Analysis of survey data using ordinal logistic regression analysis. The results showed that the dominant factors that affect the length of the graduates in getting a job is GPA, work experience in college and the desired field of work.

scholarly journals An Investigation of the Variables Predicting Faculty of Education Students’ Speaking Anxiety through Ordinal Logistic Regression Analysis

2016 ◽  
Vol 6 (1) ◽  
pp. 27
Author(s):  
Ebru Bozpolat
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Self Efficacy ◽  
Public Speaking ◽  
Education Students ◽  
Speaking Anxiety ◽  
Ordinal Logistic Regression Analysis ◽  
Faculty Of Education ◽  
Speech Content

The purpose of this study is to determine whether Cumhuriyet University Faculty of Education students’ levels of speaking anxiety are predicted by the variables of gender, department, grade, such sub-dimensions of “Speaking Self-Efficacy Scale for Pre-Service Teachers” as “public speaking”, “effective speaking”, “applying the speaking rules”, “organizing the speech content”, and “evaluating the speech”. Correlational survey model is employed in the study. While the dependent variable of the study is students’ “speaking anxiety”, its independent variables are gender, department, grade, and such sub-dimensions of “Speaking Self-Efficacy Scale for Pre-Service Teachers” as “public speaking”, “effective speaking”, “applying the speaking rules”, “organizing the speech content”, and “evaluating the speech”. The research population consists of 2983 students studying at seven departments of Faculty of Education of Cumhuriyet University in the 2015-2016 academic year. The research sample, on the other hand, is composed of 1057 students from seven departments of Faculty of Education of Cumhuriyet University. Data were collected via “Scale of Speaking Anxiety for Prospective Teachers”, which was developed by Kınay and Özkan (2014) to determine pre-service teachers’ speaking anxiety, and “Speaking Self-Efficacy Scale for Pre-Service Teachers”, which was developed by Katrancı and Melanlıoğlu (2013) to determine pre-service teachers’ speaking self-efficacy. Data were collected through ordinal logistic regression analysis as the dependent variable was made three-category and ordinal through cluster analysis. According to the logistic regression analysis results, gender, department, such sub-dimensions of “Speaking Self-Efficacy Scale for Pre-Service Teachers” as “public speaking” and “applying the speaking rules” have a significant influence on speaking anxiety.

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