scholarly journals The factors driving self-efficacy in intractable chronic pain patients: a retrospective study

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Hironori Tsuji ◽  
Tomoko Tetsunaga ◽  
Tomonori Tetsunaga ◽  
Keiichiro Nishida ◽  
Haruo Misawa ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Self Efficacy ◽  
Rating Scale ◽  
Pain Catastrophizing ◽  
Linear Regression Analysis ◽  
Intractable Pain ◽  
Pain Disability ◽  
Pain Duration

Abstract Background The fear-avoidance model is a theoretical paradigm for explaining acute and chronic pain. In this model, pain catastrophizing plays an important role. On the other hand, self-efficacy influences whether patients view their pain optimistically, ultimately preventing the conversion of pain into intractable pain. The aim of the present study was to evaluate the factors that influence self-efficacy in patients with chronic pain. Methods Study participants included 147 outpatients (35 men, 112 women) with intractable chronic pain who visited our hospital between September 2014 and July 2015. Their mean age was 71.0 (range 32–92) years. Pain sites were as follows: low back, 97 patients; knee, 71 patients; shoulder, 34 patients; and hip, 15 patients. All patients were assessed using the following measures: Numeric Rating Scale (NRS), Pain Catastrophizing Scale (PCS), Hospital Anxiety and Depression Scale (HADS), Pain Disability Assessment Scale (PDAS), and Pain Self-Efficacy Questionnaire (PSEQ). All participants were further divided into two groups based on median PSEQ scores (group L: PSEQ of 35 points or less, n = 74; group H: PSEQ greater than 35 points, n = 73). The factors that influenced self-efficacy in these patients were analyzed using univariate and multiple linear regression analyses. Results Significant differences were observed in gender; pain duration; and NRS, PDAS, HADS, and PCS scores between group L and group H. Multiple linear regression analysis revealed that self-efficacy was correlated with PDAS score, HADS depression score, and pain duration. Conclusions Patients with longer pain duration indicated greater self-efficacy and patients with higher pain disability and depression exhibited lower self-efficacy.

scholarly journals HUBUNGAN LITERASI LINGKUNGAN DAN LITERASI MATEMATIS TERHADAP KEMAMPUAN COMPUTER SELF EFFICACY

2021 ◽  
Vol 2 (2) ◽  
pp. 153-165
Author(s):  
M. Syaif Amrullah Alqusyairi ◽  
Suherman Suherman ◽  
Farida Farida
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Self Efficacy ◽  
Design Research ◽  
Linear Regression Analysis ◽  
Environmental Literacy ◽  
Multiple Linear Regression Analysis ◽  
Mathematical Literacy ◽  
Analysis Technique ◽  
Computer Self Efficacy

The purpose of this study is to determine the relationship between environmental literacy and mathematical literacy on the ability of students' Computer Self Efficacy. This quantitative study uses a Correlational Design research design. The data collection techniques in this study were environmental literacy tests, mathematical literacy tests, and a Computer Self Efficacy ability questionnaire. The data analysis technique used is Simple and Multiple Linear Regression. Based on the results obtained from research and calculations of Simple and Multiple Linear Regression analysis, it was concluded that there is a relationship between environmental literacy and the ability of Computer Self Efficacy of students, there is a relationship between mathematical literacy and the ability of Computer Self Efficacy of students, and there is a relationship between environmental literacy and mathematical literacy with the ability of students' Computer Self Efficacy. The magnitude of the influence of environmental literacy and mathematical literacy on the ability of Computer Self Efficacy is 39.2%.

Relating Acceptance and Optimism to E-File Adoption

2011 ◽  
pp. 244-256
Author(s):  
Lemuria Carter ◽  
Ludwig Christian Schaupp
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Self Efficacy ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Intention To Use ◽  
Personal Factors ◽  
Adoption Factors ◽  
Electronic Filing

Electronic tax filing is an emerging area of e-government. This research proposes a model of e-filing adoption that identifies adoption factors and personal factors that impact citizen acceptance of electronic filing systems. A survey administered to 260 participants assesses their perceptions of adoption factors, trust and self-efficacy as they relate to e-file utilization. Multiple linear regression analysis is used to evaluate the relationships between adoption concepts and intention to use e-filing systems. Implications for practice and research are discussed.

Factors influencing the prescribed dose of opioid analgesics in cancer patients

2020 ◽  
Vol 16 (4) ◽  
pp. 247-252
Author(s):  
Momoyo Hashimoto, MPharm ◽  
Kazuki Aogaki, BPharm ◽  
Chikako Numata, PhD ◽  
Kensuke Moriwaki, PhD ◽  
Yoshinobu Matsuda, MD ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Rating Scale ◽  
Cytochromes P450 ◽  
Linear Regression Analysis ◽  
Oral Morphine ◽  
Opioid Analgesics ◽  
Multiple Linear Regression Analysis ◽  
Pain Severity ◽  
Before And After

The dose of opioids prescribed for cancer pain does not always correlate with the actual pain severity. However, there is little evidence to explain this observation. In the present study, we sought to determine factors that influence the dose of opioid analgesics. A total of 227 patients who were administered opioids between August 2012 and May 2016 and later expired within the Department of Palliative Care at Ashiya Municipal Hospital were included, and the following variables were examined: age, sex, type of cancer, Verbal Rating Scale before and after the administration of the maximum prescribed dose of opioids, type of opioids and route of administration, blood test results, pain severity, and use of adjuvants. Data were analyzed using step-wise multiple linear regression. Median of the maximum prescribed dose of opioids, expressed in oral morphine equivalent, was 68.6, 60.0, and 39.2 mg for patients aged 65, 65-74, and ≥75 years, respectively. Step-wise multiple linear regression analysis further demonstrated that an increase in age by 1 year decreased the maximum prescribed dose of opioids by 0.98-fold (p = 0.006). Other factors that influenced the maximum prescribed dose of opioids included the use of analgesic adjuvants (1.91-fold, p = 0.001), oral administration (0.54-fold, p = 0.016), and elevated level of bilirubin (0.95-fold by 0.1 mg/dL increase, p = 0.013). Opioids examined in the study are metabolized in the liver by cytochromes P450 or by glucuronidation. Thus, if reduced drug metabolism causes the reduction in the maximum prescribed dose of opioids, liver function may contribute to this effect. Based on our findings that old age is associated with a lower prescribed dose of opioids, future studies should examine additional variables included in laboratory tests in more detail and measure hepatic blood flow to determine the cause of this association.

scholarly journals Effects of Entrepreneurship Education as an Entrepreneurial Personality Trait Model under Entrepreneurial Intention for the Future in Surabaya

2020 ◽  
Vol 9 (1) ◽  
pp. 29-42
Author(s):  
Krismi Budi Sienatra
Keyword(s):  
Locus Of Control ◽  
Linear Regression ◽  
Personality Traits ◽  
Multiple Linear Regression ◽  
Self Efficacy ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Entrepreneurship Education ◽  
Entrepreneurial Intention ◽  
Proactive Personality

Entrepreneurship is an important sector that can sustain a country's economic growth. Entrepreneur can be formed from entrepreneurial personality traits which are supported through formal education that emphasizes  entrepreneurship. The purpose of this research is to analyze the effect of entrepreneurial personality traits that consist of self efficacy, proactive personality, and locus of control and entrepreneurship education as moderating variable on entrepreneurial intention. The population in this research is business management active students at Surabaya. Accidental sampling technique that is used produces the total sample of 152 people by distributing questionnaires. The research method that is used in this research is multiple linear regression to find out the effect of the independent variables on the dependent variable and determination coefficient analysis to find out the effect of the moderating variable. The results of the multiple linear regression analysis shows that self efficacy, proactive personality, and locus of control affect significantly on entrepreneurial intention. The results of this research also shows that entrepreneurship education is able to moderate self efficacy on entrepreneurial intention.

scholarly journals Factors associated with self-efficacy in patients with hypertension: a cross-sectional study from Palestine

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Salam Khairy ◽  
Asala Aslan ◽  
Ahmad M. Samara ◽  
Ibrahim Mousa ◽  
Abdulsalam S. Alkaiyat ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Health Care Providers ◽  
Self Efficacy ◽  
Linear Regression Analysis ◽  
Overweight And Obesity ◽  
Physician Communication ◽  
Care Providers ◽  
Weight Category ◽  
Factors Associated

Abstract Background Self-efficacy is a widely applied psychosocial concept that is commonly used in association with management of chronic diseases, including hypertension. The aim of this study was to assess self-efficacy of hypertension management and patient-physician communication, as well as the factors associated with self-efficacy and patient-physician communication among patients with hypertension in Palestine. Methods We conducted face-to-face, questionnaire-based interviews using validated instruments to assess self-efficacy in managing hypertension (Self-Efficacy for Managing Chronic Disease 6-Item Scale (SES6C)) and patient-physician communication (Perceived Efficacy in Patient-Physician Interaction Questionnaire (PEPPI)) in patients with hypertension at the three main primary healthcare centers in Nablus district in northern West Bank, Palestine. We also performed a multiple linear regression analysis to determine the variables independently associated with PEPPI and SES6C scores. Results We enrolled 377 participants with hypertension in this study. The average age (measured in years) was 56.8 with a standard deviation of 11.6. The mean PEPPI and SES6C scores were 20.0 (SD 4.4) and 41.1 (SD 10.6), respectively. In a multiple linear regression model, subjects who were city dwellers (B=3.597, p=0.004), and subjects with high education levels (B=4.010, p=0.001) achieved higher PEPPI scores, whereas subjects in the normal weight category (B=5.566, p<0.001) and those with higher PEPPI scores (B=0.706, p<0.001) achieved higher SES6C scores. Conclusions We found that impairment in self-efficacy was linked to overweight and obesity, as well as lower patient-physician communication. Moreover, our results showed that lower patient-physician communication was independently associated with low education level as well as non-city residency types. We recommend making the appropriate changes by both the policy-makers and the health care providers to improve the health facilities and its services, especially outside the cities. We also suggest holding specific counseling and training session on the management and control of hypertension.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

An Empirical Study of Investor Attitudinal Factors Influencing Herd Behavior: Evidence from Pakistan Stock Exchange

2019 ◽  
Vol 12 (1) ◽  
pp. 1-11
Author(s):  
Faid Gul ◽  
Karamat Khan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Psychological Factors ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Primary Data ◽  
Herd Behavior ◽  
Individual Investor ◽  
Decision Accuracy ◽  
Attitudinal Factors

Behavioral Finance is an evolving field that studies how psychological factors affect decision making under uncertainty. Herding behavior is one of the psychological factors that instigate investor to mimic the actions of other investors in the market rather than using his personal assessments. This study seeks to find the influence of certain attitudinal factors namely, decision conformity, hasty decision, mood, decision accuracy, and overconfidence, on the individual investor tendency to embrace herd behavior. Primary data for the study are collected using structured questionnaires from a sample of 194 investors who are trading at Islamabad and Lahore branches of Pakistan Stock Exchange. Multiple linear regression analysis is used to test the hypotheses of this study. Findings of this study provide evidence that attitudinal factors have a significant influence on investor’s tendency to take on herd behavior. It is concluded from the results of multiple linear regression that decision conformity, mood, and decision accuracy have a significant impact on individual investor tendency to adopt herd behavior. However, investor hasty decision and overconfidence is insignificant predictors of herd behavior. Keywords: Decision conformity, Hasty decision, Mood, Decision accuracy, Overconfidence, Herd behavior

PENGARUH LOKASI, KUALITAS PRODUK TABUNGAN, KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH DALAM MENABUNG DI BMT ADZKIYAH KHIDMATUL UMMAH DI KOTA METRO

2019 ◽  
Vol 3 (2) ◽  
pp. 439
Author(s):  
Suwarto Suwarto ◽  
Risa Anggraini
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Requirements Analysis ◽  
Primary Data ◽  
Homogeneity Test ◽  
Linearity Test

This research is motivated by customer satisfaction which is a customer action to save. The purpose of this study was to determine the ef ect of location, quality of savings products, service quality on customer satisfaction. In this study using primary data collected by explanatory research methods and sample collection techniques in the form of accidental sampling of BMT customers Adzkiyah Khidmatul Ummah using a questionnaire with a likert skla in BMT Adzkiyah Khidmatul Ummah in Metro City. Testing the instrument requirements used include validity, reliability testing. Requirements analysis using normality test, linearity test, homogeneity test. And analysis tools using multiple linear regression with partial test (t test), simultaneous test (f test), coef icient of determination test (R2). As testing requirements analysis and hypothesis testing. Based on the results of research using multiple linear regression analysis obtained location influences customer satisfaction, the quality of savings products does not af ect customer satisfaction, and service quality influences customer satisfaction.

Predictive Factors for Hamstring Autograft Diameter in Anterior Cruciate Ligament Reconstruction

2019 ◽  
Author(s):  
Willem M.P. Heijboer ◽  
Mathijs A.M. Suijkerbuijk ◽  
Belle L. van Meer ◽  
Eric W.P. Bakker ◽  
Duncan E. Meuffels
Keyword(s):  
Anterior Cruciate Ligament ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Acl Reconstruction ◽  
Cruciate Ligament ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Gracilis Tendon ◽  
Thigh Circumference ◽  
Anterior Cruciate

AbstractMultiple studies found hamstring tendon (HT) autograft diameter to be a risk factor for anterior cruciate ligament (ACL) reconstruction failure. This study aimed to determine which preoperative measurements are associated with HT autograft diameter in ACL reconstruction by directly comparing patient characteristics and cross-sectional area (CSA) measurement of the semitendinosus and gracilis tendon on magnetic resonance imaging (MRI). Fifty-three patients with a primary ACL reconstruction with a four-stranded HT autograft were included in this study. Preoperatively we recorded length, weight, thigh circumference, gender, age, preinjury Tegner activity score, and CSA of the semitendinosus and gracilis tendon on MRI. Total CSA on MRI, weight, height, gender, and thigh circumference were all significantly correlated with HT autograft diameter (p < 0.05). A multiple linear regression model with CSA measurement of the HTs on MRI, weight, and height showed the most explained variance of HT autograft diameter (adjusted R 2 = 44%). A regression equation was derived for an estimation of the expected intraoperative HT autograft diameter: 1.2508 + 0.0400 × total CSA (mm2) + 0.0100 × weight (kg) + 0.0296 × length (cm). The Bland and Altman analysis indicated a 95% limit of agreement of ± 1.14 mm and an error correlation of r = 0.47. Smaller CSA of the semitendinosus and gracilis tendon on MRI, shorter stature, lower weight, smaller thigh circumference, and female gender are associated with a smaller four-stranded HT autograft diameter in ACL reconstruction. Multiple linear regression analysis indicated that the combination of MRI CSA measurement, weight, and height is the strongest predictor.

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