scholarly journals Personality traits neuroticism and openness as well as early abnormal eye conditions as predictors of the occurrence of eye problems in adulthood

2017 ◽  
Vol 4 (1) ◽  
pp. 205510291771620
Author(s):  
Helen Cheng ◽  
Adrian Furnham
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Social Class ◽  
Personality Traits ◽  
Cognitive Ability ◽  
Logistic Regression Analysis ◽  
Big Five ◽  
Medical Professionals ◽  
Eye Problems ◽  
Socio Demographic Factors

This study set out to examine the associations between psychological, biomedical and socio-demographic factors in childhood and adulthood associated with the occurrence of self-reported eye conditions in adulthood. In total, 5706 participants with complete data on parental social class at birth, cognitive ability accessed at age 11 years, abnormal eye conditions by the age of 16 years diagnosed by medical professionals, educational qualifications obtained at age 33 years, the Big Five Factor personality traits measured at age 50 years, current occupational levels and self-reported eye conditions at age 54 years were included in the study. Logistic regression analysis showed that among all the factors examined early abnormal eye conditions, traits neuroticism and openness as well as sex were the significant predictors of self-reported eye conditions in adulthood.

scholarly journals Association between Big Five personality traits and participation in cardiac rehabilitation in Japanese patients with cardiovascular disease: a longitudinal study

2021 ◽  
Vol 20 (Supplement_1) ◽  
Author(s):  
T Adachi ◽  
Y Tsunekawa ◽  
T Kameyama ◽  
K Kobayashi ◽  
A Matsuoka ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cardiac Rehabilitation ◽  
Personality Traits ◽  
Logistic Regression Analysis ◽  
Big Five ◽  
Japanese Version ◽  
Big Five Personality Traits ◽  
Big Five Personality

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): JSPS KAKENHI Background Cardiac rehabilitation (CR) remains underutilised, despite its established clinical benefit. Assessments of personality traits may serve for patient-medical staff communication to promote CR implementation as they are determinants of health-related behavior. However, few studies have explored the potential effects of the Big Five personality traits on CR participation. Purpose This study aimed to examine the association between the Big Five personality traits and CR participation in patients with cardiovascular disease. Methods This longitudinal analysis included patients aged <80 years hospitalised for cardiovascular disease. We excluded patients aged ≥ 80 years because of the increased prevalence of the need of assistance for outdoor walking, resulting in non-participation in CR. The Big Five personality traits (conscientiousness, neuroticism, openness, extraversion, agreeableness) of each patient were evaluated using the Japanese version of Ten-Item Personality Inventory at discharge (references: 1, 2). Each patient was also asked to answer a self-administered questionnaire related to outpatient CR. The questionnaire included the will to participate in outpatient CR after discharge (yes or no) and the reasons for non-participation in CR. We examined the frequency of CR attendance for each patient for three months after discharge from medical records. According to the participation frequency, patients were stratified into non-participation, participation, and dropout groups. The participation group was defined as at least one CR session a month within three months after discharge. Patients who did not continue CR for three months were considered dropouts. We examined the relationship of each personality trait with non-participation in CR and dropout within three months using logistic regression analysis. Results A total of 139 patients hospitalised for cardiovascular disease were analysed (the mean age: 67.2 ± 9.8 years, men: 71.9%). Of 49 patients who initiated the outpatient CR after discharge, 26 patients continued CR for three months, and 23 patients dropped out. The results of the logistic regression analysis are shown in Figure 1. After adjusted for age, gender, and heart failure, high conscientiousness was associated with non-participation in CR (odds ratio [OR] 1.35, per 1 point; 95% confidence interval (CI) 1.00-1.87). The primary reason for non-participation among patients with high conscientiousness was a lack of motivation. Conversely, low conscientiousness (OR 0.56; 95% CI 0.35-0.90) and high openness (OR 2.19; 95% CI 1.27-3.78) were predictors of dropout within three months after discharge. Conclusion The results of this study imply that the Big Five assessment serves for the health communication to improve CR participation. In particular, high conscientious was associated with non-participation in CR due to a lack of motivation, and patients with low conscientiousness and high openness tended to dropout.

scholarly journals Should I Stay or should I Go? Determinants of Evacuation upon Flood Warning among Households in a Flood Prone Area in Bukidnon, Philippines

2016 ◽  
Vol 50 ◽  
pp. 70-75 ◽  
Author(s):  
Michael Arieh P. Medina ◽  
Jackielyn M. Moraca
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
College Education ◽  
The Philippines ◽  
Flood Warning ◽  
The Family ◽  
Prone Area ◽  
Flood Prone Area ◽  
Socio Demographic Factors

To identify factors that influence the decision to evacuate upon flood warning by authorities, a study was conducted in a flood prone area in the province of Bukidnon in the Philippines. A survey of flood victims was conducted in Batangan Village, Valencia City, Bukidnon, Philippines wherein 150 respondents were interviewed. Logistic regression analysis was done to test the socio demographic factors that could influence a family’s decision to either evacuate or stay upon advice by government authorities. College education, presence of children in the home, poverty, and extent of flood experienced were found to significantly influence the decision of the family to evacuate. Based on this information, the study provides recommendations for disaster managers in case of future flood incidence in the area.

scholarly journals Determinants of the Intention to Use Teledermatology: Evidence From Dermatologists and Primary Care Physicians (Preprint)

2019 ◽  
Author(s):  
Mercedes Sendín-Martín ◽  
Ana Jiménez-Zarco ◽  
Francesc Saigí-Rubió ◽  
Julian Conejo-Mir ◽  
Jose Juan Pereyra-Rodriguez
Keyword(s):  
Primary Care ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Logistic Regression Analysis ◽  
Primary Care Physicians ◽  
Goodness Of Fit ◽  
Medical Professionals ◽  
Use Of Technology

BACKGROUND Teledermatology (TD) is one of the applications of electronic health and telemedicine that involves the use of information and communication technologies (ICTs) for the care of skin diseases. Previous studies on TD indicate that it seems to be effective in diagnosing early malignant pathologies, such as melanoma, and in reducing waiting lists by prioritizing urgent cases of pathology. Despite these advantages, the implementation of TD is still low in many areas. OBJECTIVE Most previous studies on TD have focused on analyzing the results of TD use. However, to completely understand TD, it is necessary to consider the determinants of its use. This study analyzes the factors that motivate medical professionals to use TD in their clinical practice. METHODS A survey that targeted a total population of 743 medical professionals from health care institutions in Andalusia (Spain) was used. The study sample comprised 223 doctors (87 dermatologists and 136 primary care physicians). RESULTS Using an extended Technology Acceptance Model and microdata for the 223 physicians, a cluster analysis (of the user’s ICT profile) and binary logistic regression analysis were conducted. This analysis demonstrated the presence of 3 clusters in the sample with respect to the use of technology (cluster 1: advanced use of ICTs; cluster 2: moderate use of ICTs; and cluster 3: scarce use of ICTs). The analysis performed confirmed the model’s goodness of fit, which allowed 69% of the variable’s variance to be explained. The outcomes revealed that the factors that were most important when implementing a TD system were the user’s ICT profile (P=.048), system efficiency (P<.001), and preference of the subjects involved (P=.008; P<.005). The quality of the assistance, the difficulties arising from the use of technology (information security and confidentiality), or interests of the administration were not decisive factors for the implementation of TD. Subsequently, we performed a logistic regression analysis, separating primary care doctors from dermatologists. For the former, the determining factors were the ICT profile and the efficiency of the system, whereas, among dermatologists, only the preference of each individual was considered to be a determining factor. CONCLUSIONS The use of TD should be accompanied by a comprehensive program of validation and evaluation. These results show that determinants of TD implementation differ depending on the subjects involved. Therefore, it is essential to perform studies before the implementation of a TD system to identify and influence the aforementioned predictive factors.

scholarly journals Assessment of Pathological Personality traits in Meditation Practitioners and Non-practitioners

2018 ◽  
Vol 28 (0) ◽  
Author(s):  
Lucas de Francisco Carvalho ◽  
Wellington Arruda
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Personality Traits ◽  
Logistic Regression Analysis ◽  
Mindfulness Meditation ◽  
Personality Inventory ◽  
Lower Intensity ◽  
Dsm 5 ◽  
Brazilian Version ◽  
Pathological Personality Traits

Abstract This study aimed to evaluate and compare pathological personality traits in meditation practitioners and non-practitioners. Therefore, data were collected from 104 participants of both sexes aged over 18 years, including 53 practitioners of concentrative and mindfulness meditation styles, and 51 non-practitioners. Participants responded to the Dimensional Clinical Personality Inventory (IDCP), the Brazilian version of the Personality Inventory for DSM-5 (PID-5), and an anamnesis questionnaire about the practice of meditation; we proceeded to repeated ANOVA measures and logistic regression analysis to verify the study’s goals. Overall, higher means were observed for non-practitioners in the dimensions/factors of the tests, and specific pathological traits as best predictors of the participating groups (practitioners versus non-practitioners). The results indicated that the meditators tended to have lower intensity of pathological personality traits.

scholarly journals Association between Big Five Personality Traits and Participation in Cardiac Rehabilitation in Japanese Patients with Cardiovascular Disease: A Retrospective Cohort Study

2021 ◽  
Vol 18 (16) ◽  
pp. 8589
Author(s):  
Takuji Adachi ◽  
Yuki Tsunekawa ◽  
Akihito Matsuoka ◽  
Daisuke Tanimura
Keyword(s):  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Personality Traits ◽  
Big Five ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Big Five Personality Traits ◽  
Big Five Personality

Cardiac rehabilitation (CR) remains underutilised, despite its established clinical benefit. A personality traits assessment may help promote CR implementation, as they are determinants of health-related behaviour. This study aimed to examine the association between the Big Five personality traits and outpatient CR participation in patients with cardiovascular disease (CVD) after discharge. This retrospective cohort study included 163 patients aged <80 years, who underwent inpatient CR when hospitalised for CVD. The Big Five personality traits (conscientiousness, neuroticism, openness, extraversion, and agreeableness) of each patient were evaluated at discharge, using the Japanese version of the Ten-Item Personality Inventory. We examined the relationship of each personality trait with non-participation in outpatient CR and dropout within three months, using logistic regression analysis. Out of 61 patients who initiated the outpatient CR, 29 patients dropped out, leaving us with 32 subjects. The logistic regression analysis results showed that high conscientiousness was associated with non-participation in CR. The primary reason for this was a lack of motivation. Conversely, low conscientiousness and high openness were predictors of dropout. This study suggests that the assessment of the Big Five personality traits, especially conscientiousness and openness, can help improve health communication with patients to promote outpatient CR participation after discharge.

ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Care Service ◽  
Multivariate Logistic Regression Analysis ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

scholarly journals Efficacy of flurbiprofen axetil for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Atsushi Kotera
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Postoperative Pain ◽  
Logistic Regression Analysis ◽  
Pain Control ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Postoperative Pain Control ◽  
Flurbiprofen Axetil ◽  
Postanesthetic Shivering

Abstract Background Postanesthetic shivering is an unpleasant adverse event in surgical patients. A nonsteroidal anti-inflammatory drug has been reported to be useful in preventing postanesthetic shivering in several previous studies. The aim of this study was to evaluate the efficacy of flurbiprofen axetil being a prodrug of a nonsteroidal anti-inflammatory drug for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries. Method This study is a retrospective observational study. I collected data from patients undergoing gynecologic laparotomy surgeries performed between October 1, 2019, and September 30, 2020, at Kumamoto City Hospital. All the patients were managed with general anesthesia with or without epidural analgesia. The administration of intravenous 50 mg flurbiprofen axetil for postoperative pain control at the end of the surgery was left to the individual anesthesiologist. The patients were divided into two groups: those who had received intravenous flurbiprofen axetil (flurbiprofen group) and those who had not received intravenous flurbiprofen axetil (non-flurbiprofen group), and I compared the frequency of postanesthetic shivering between the two groups. Additionally, the factors presumably associated with postanesthetic shivering were collected from the medical charts. Intergroup differences were assessed with the χ2 test with Yates’ correlation for continuity category variables. The Student’s t test was used to test for differences in continuous variables. Furthermore, a multivariate logistic regression analysis was performed to elucidate the relationship between the administration of flurbiprofen axetil and the incidence of PAS. Results I retrospectively examined the cases of 141 patients aged 49 ± 13 (range 21-84) years old. The overall postanesthetic shivering rate was 21.3% (30 of the 141 patients). The frequency of postanesthetic shivering in the flurbiprofen group (n = 31) was 6.5%, which was significantly lower than that in the non-flurbiprofen group (n = 110), 25.5% (p value = 0.022). A multivariate logistic regression analysis showed that administration of flurbiprofen axetil was independently associated with a reduced incidence of postanesthetic shivering (odds ratio 0.12; 95% confidence interval, 0.02-0.66, p value = 0.015). Conclusions My result suggests that intraoperative 50 mg flurbiprofen axetil administration for postoperative pain control is useful to prevent postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries.

scholarly journals Prior Admissions as a Risk Factor for Readmission in Patients Surgically Treated for Femur Fractures: Implications for a Potential Hip Fracture Bundle

2021 ◽  
Vol 12 ◽  
pp. 215145932199616
Author(s):  
Robert Erlichman ◽  
Nicholas Kolodychuk ◽  
Joseph N. Gabra ◽  
Harshitha Dudipala ◽  
Brook Maxhimer ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hip Fracture ◽  
Logistic Regression Analysis ◽  
Hip Fractures ◽  
Surgical Procedure ◽  
Hospital Admissions ◽  
Fracture Care ◽  
Increased Risk ◽  
Payment Models

Introduction: Hip fractures are a significant economic burden to our healthcare system. As there have been efforts made to create an alternative payment model for hip fracture care, it will be imperative to risk-stratify reimbursement for these medically comorbid patients. We hypothesized that patients readmitted to the hospital within 90 days would be more likely to have a recent previous hospital admission, prior to their injury. Patients with a recent prior admission could therefore be considered higher risk for readmission and increased cost. Methods: A retrospective chart review identified 598 patients who underwent surgical fixation of a hip or femur fracture. Data on readmissions within 90 days of surgical procedure and previous admissions in the year prior to injury resulting in surgical procedure were collected. Logistic regression analysis was used to determine if recent prior admission had increased risk of 90-day readmission. A subgroup analysis of geriatric hip fractures and of readmitted patients were also performed. Results: Having a prior admission within one year was significantly associated (p < 0.0001) for 90-day readmission. Specifically, logistic regression analysis revealed that a prior admission was significantly associated with 90-day readmission with an odds ratio of 7.2 (95% CI: 4.8-10.9). Discussion: This patient population has a high rate of prior hospital admissions, and these prior admissions were predictive of 90-day readmission. Alternative payment models that include penalties for readmissions or fail to apply robust risk stratification may unjustly penalize hospital systems which care for more medically complex patients. Conclusions: Hip fracture patients with a recent prior admission to the hospital are at an increased risk for 90-day readmission. This information should be considered as alternative payment models are developed for hip fracture care.

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.

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