Change in Life Attitudes During Inpatient Psychosomatic Treatment

2021 ◽  
pp. 002216782110400
Author(s):  
Juan Valdés-Stauber ◽  
Helen Kämmerle ◽  
Susanne Bachthaler
Keyword(s):  
Self Efficacy ◽  
Multivariate Regression ◽  
Regression Models ◽  
Effect Sizes ◽  
Life Change ◽  
Life Meaning ◽  
Multivariate Models ◽  
Clinical Variables ◽  
Life Attitudes ◽  
Factors Influencing

Objectives: This study’s primary aim was to investigate whether meaning-based attitudes to life change during inpatient psychosomatic treatment and the factors influencing the extent of this change. Method: This prospective study ( N = 138) was designed as a naturalistic observation. The effectiveness of treatment was investigated through pre–post comparisons of clinical variables and life attitudes (Life Attitude Profile–Revised) using bivariate tests. Factors influencing the extent of changes in life attitudes were investigated using multivariate regression models. Results: Regarding clinical variables, a small but significant improvement in life attitudes was found, with effect sizes ranging from 0.19 to 0.58. Neuroticism correlated negatively with life attitudes at admission but not significantly with the extent of change in life attitudes. In multivariate models, the extent of the therapeutic relationship and neuroticism correlated positively with the extent of improvement in coherence and self-efficacy. The improvement in self-efficacy was associated with an improvement in life attitudes. Discussion: Although life attitudes are robust characteristics of a person, they change during a hospital psychosomatic treatment, similar to the clinical improvement of symptoms. However, the association between the two is weak. People with stronger neuroticism experience a greater increase in life meaning during hospitalization.

Rapid quality assessment of bread using developed multivariate models: A simple predictive modeling approach

2020 ◽  
Author(s):  
Aidin Pahlavan ◽  
Mohammad Hassan Kamani ◽  
Amir Hossein Elhamirad ◽  
Zahra Sheikholeslami ◽  
Mohammad Armin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Predictive Modeling ◽  
Multivariate Regression ◽  
Regression Models ◽  
Multivariate Regression Analysis ◽  
Multivariate Models ◽  
Barbari Bread ◽  
Non Destructive

AbstractThis study was focused on the assessment of relationships among the properties of wheat and their resultant flour, dough and final bread. For this purpose, multivariate linear regression in the form of the step-wise algorithm was applied to evaluate the relation among the flour characteristics of wheat with quality of dough and the final breads (Barbari and Lavash). The results showed that variety of wheat (Orum, Pishgam, and Zareh) could not affect the moisture content and quantity of the flour residue; however, considerable variation was observed on protein content and Zeleny number. The multivariate regression analysis built appropriate models to predict the hardness of the Barbari bread (R2 = 0.98) and specific volume of the Lavash bread (R2 = 0.98). Overall, the results indicated that the regression models in the form of step-wise might be useful as a non-destructive technique for assessing quality of bread.

Comparing Predictors in Multivariate Regression Models: An Extension of Dominance Analysis

2006 ◽  
Vol 31 (2) ◽  
pp. 157-180 ◽  
Author(s):  
Razia Azen ◽  
David V. Budescu
Keyword(s):  
Multiple Regression ◽  
Multivariate Regression ◽  
Regression Models ◽  
Multiple Response ◽  
Relative Importance ◽  
Multivariate Models ◽  
Minimal Set ◽  
Dominance Analysis ◽  
Response Variables

Dominance analysis (DA) is a method used to compare the relative importance of predictors in multiple regression. DA determines the dominance of one predictor over another by comparing their additional R2 contributions across all subset models. In this article DA is extended to multivariate models by identifying a minimal set of criteria for an appropriate generalization of R2 to the case of multiple response variables. The DA results obtained by univariate regression (with each criterion separately) are analytically compared with results obtained by multivariate DA and illustrated with an example. It is shown that univariate dominance does not necessarily imply multivariate dominance (and vice versa), and it is recommended that researchers who wish to account for the correlation among the response variables use multivariate DA to determine the relative importance of predictors.

scholarly journals Analysis of Medication Adherence and Its Influencing Factors in Patients with Schizophrenia in the Chinese Institutional Environment

2021 ◽  
Vol 18 (9) ◽  
pp. 4746
Author(s):  
Wei Yu ◽  
Jie Tong ◽  
Xirong Sun ◽  
Fazhan Chen ◽  
Jie Zhang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Medication Adherence ◽  
Activities Of Daily Living ◽  
Influencing Factors ◽  
Self Efficacy ◽  
Daily Living ◽  
Institutional Environment ◽  
Factors Influencing ◽  
Quality Of Life Scale

Background: Factors related to medication adherence in patients with schizophrenia have always been key to the treatment and rehabilitation of these patients. However, the treatment modes in different countries are not the same, and there is no research on the factors influencing medication adherence under different mental health service modes. Objectives: The purpose of this study was to explore medication adherence and its influencing factors in patients with schizophrenia in the Chinese institutional environment. Methods: We conducted a cross-sectional study of hospitalized persons living with schizophrenia from November 2018 to January 2019. A systematic sampling method was used to select 217 hospitalized persons living with schizophrenia. The Medication Adherence Rating Scale (MARS), Positive and Negative Syndrome Scale (PANSS), General Self-Efficacy Scale (GSES), Schizophrenia Quality of Life Scale (SQLS), and Scale of Social Skills for Psychiatric Inpatients (SSPI) were used to explore medication compliance and its influencing factors in the Chinese institutional environment. Results: The descriptive analysis and ANOVA showed that there were no significant differences in medication adherence when assessed by demographic characteristics such as sex, marital status, and education level (p > 0.05). A correlation analysis showed that there was no significant correlation between medication adherence and mental symptoms (p > 0.05) but that there was a positive correlation with self-efficacy, quality of life, and activities of daily living (p < 0.01). The linear regression analysis showed that self-efficacy, psychosocial factors, symptoms/side effects, and activities of daily living had significant effects on medication adherence (F = 30.210, p < 0.001). Conclusions: Our findings show that the self-efficacy, quality of life, and social function of patients with schizophrenia are important self-factors influencing medication adherence in the Chinese institutional environment.

scholarly journals Diagnostic checking for multivariate regression models

2008 ◽  
Vol 99 (9) ◽  
pp. 1841-1859 ◽  
Author(s):  
Lixing Zhu ◽  
Ruoqing Zhu ◽  
Song Song
Keyword(s):  
Multivariate Regression ◽  
Regression Models ◽  
Diagnostic Checking

scholarly journals An Exploration of Factors Influencing Self-Efficacy in Online Learning: A Systematic Review

2018 ◽  
Vol 13 (09) ◽  
pp. 64 ◽  
Author(s):  
Chattavut Peechapol ◽  
Jaitip Na-Songkhla ◽  
Siridej Sujiva ◽  
Arthorn Luangsodsai
Keyword(s):  
Online Learning ◽  
Learning Environments ◽  
Self Efficacy ◽  
Online Learning Environment ◽  
Narrative Synthesis ◽  
Learning Context ◽  
Data Bases ◽  
Online Data ◽  
Online Learning Environments ◽  
Factors Influencing

This review examines 12 years of research by focusing on the following question: What are the factors that influence self-efficacy in an online learning environment? There has been a plethora of research concerning self-efficacy. However, few works have focused on the sources of self-efficacy in online-learning environments. Systematic searches of numerous online data-bases published between 2005 and 2017, which covered factors influencing self-efficacy in online learning context, resulted in the investigation of 25 studies. The data were extracted, organized and analyzed using a narrative synthesis. Results revealed that various factors improved self-efficacy and provided evidence of significant sources of self-efficacy in the context of online learning. Moreover, the investigation provides guidance for further research in designing online learning environments to enhance the self-efficacy of learners.

Wireless Sensor Networks for Irrigation in Crops Using Multivariate Regression Models

2018 ◽  
Author(s):  
Paul D. Rosero-Montalvo ◽  
Jose Pijal-Rojas ◽  
Carlos Vasquez-Ayala ◽  
Edgar Maya ◽  
Carlos Pupiales ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Multivariate Regression ◽  
Regression Models ◽  
Wireless Sensor

scholarly journals Identification of the most specific markers to differentiate primary pulmonary carcinoma from metastatic gastrointestinal carcinoma to the lung

2022 ◽  
Vol 17 (1) ◽  
Author(s):  
Bachar Alabdullah ◽  
Amir Hadji-Ashrafy
Keyword(s):  
Gastrointestinal Tract ◽  
Predictive Value ◽  
Regression Models ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Multivariate Models ◽  
Gastrointestinal Carcinoma ◽  
Lung Tumours ◽  
Napsin A ◽  
Sensitivity Specificity

Abstract Background A number of biomarkers have the potential of differentiating between primary lung tumours and secondary lung tumours from the gastrointestinal tract, however, a standardised panel for that purpose does not exist yet. We aimed to identify the smallest panel that is most sensitive and specific at differentiating between primary lung tumours and secondary lung tumours from the gastrointestinal tract. Methods A total of 170 samples were collected, including 140 primary and 30 non-primary lung tumours and staining for CK7, Napsin-A, TTF1, CK20, CDX2, and SATB2 was performed via tissue microarray. The data was then analysed using univariate regression models and a combination of multivariate regression models and Receiver Operating Characteristic (ROC) curves. Results Univariate regression models confirmed the 6 biomarkers’ ability to independently predict the primary outcome (p < 0.001). Multivariate models of 2-biomarker combinations identified 11 combinations with statistically significant odds ratios (ORs) (p < 0.05), of which TTF1/CDX2 had the highest area under the curve (AUC) (0.983, 0.960–1.000 95% CI). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 75.7, 100, 100, and 37.5% respectively. Multivariate models of 3-biomarker combinations identified 4 combinations with statistically significant ORs (p < 0.05), of which CK7/CK20/SATB2 had the highest AUC (0.965, 0.930–1.000 95% CI). The sensitivity, specificity, PPV, and NPV were 85.1, 100, 100, and 41.7% respectively. Multivariate models of 4-biomarker combinations did not identify any combinations with statistically significant ORs (p < 0.05). Conclusions The analysis identified the combination of CK7/CK20/SATB2 to be the smallest panel with the highest sensitivity (85.1%) and specificity (100%) for predicting tumour origin with an ROC AUC of 0.965 (p < 0.001; SE: 0.018, 0.930–1.000 95% CI).

scholarly journals A Cross-Cultural Comparison Of Factors Influencing Self-Scan Checkout Use

2010 ◽  
Vol 8 (10) ◽  
Author(s):  
Jana Schliewe ◽  
Kerstin Pezoldt
Keyword(s):  
Self Efficacy ◽  
Transition Economy ◽  
Social Pressure ◽  
Cross Cultural ◽  
Cultural Comparison ◽  
East European ◽  
Cross Cultural Comparison ◽  
Factors Influencing ◽  
Market Launch ◽  
Technology Anxiety

<p class="MsoNormal" style="text-align: justify; line-height: normal; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; color: black; font-size: 10pt; mso-ansi-language: EN-GB; mso-themecolor: text1;" lang="EN-GB">The purpose of this paper is to study the factors influencing the acceptance of self-scan checkouts in Russia, an emerging East European transition economy, and Germany, an established Western European market. In particular, the paper seeks to examine the potential effects of social pressure, self-efficacy and technology anxiety on the self-scan checkout usage decision. Additionally, the article attempts to find out whether firms need to adapt their strategies of market launch to the special needs of the different countries. The design of this study was empirical. Data were collected from students in two universities in Germany and Russia. The findings of the study clearly show the differences between the two countries. The German participants have a lower level of social pressure and technology anxiety whereas the Russian participants have a lower level of self-efficacy. </span></p>

scholarly journals COVID-19 vaccine hesitancy among persons living in homeless shelters in France

2021 ◽  
Author(s):  
C Longchamps ◽  
S Ducarroz ◽  
L Crouzet ◽  
N. Vignier ◽  
L. Pourtau ◽  
...  
Keyword(s):  
General Population ◽  
Multivariate Regression ◽  
Regression Models ◽  
Homeless Persons ◽  
Homeless Shelters ◽  
Vaccine Hesitancy ◽  
Factors Associated ◽  
Risks And Benefits ◽  
Unequal Access ◽  
Study Participants

AbstractCOVID-19 vaccine hesitancy is frequent and can constitute a barrier to the dissemination of vaccines once they are available. Unequal access to vaccines may also contribute to socioeconomic inequalities with regard to COVID-19. We studied vaccine hesitancy among persons living in homeless shelters in France between May and June 2020 (n=235). Overall, 40.9% of study participants reported vaccine hesitancy, which is comparable to general population trends in France. In multivariate regression models, factors associated with vaccine hesitancy are: being a woman (OR=2.55; 95% CI 1.40-4.74), living with a partner (OR=2.48, 95% CI 1.17-5.41), no legal residence in France (OR=0.51, 95% CI 0.27-0.92), and health literacy (OR=0.38, 95% CI 0.21, 0.68). Our results suggest that trends in vaccine hesitancy and associated factors are similar among homeless persons as in the general population. Dissemination of information on vaccine risks and benefits needs to be adapted to persons who experience severe disadvantage.

Women in the Legislatures and Executives of the World: Knocking at the Highest Glass Ceiling

1999 ◽  
Vol 51 (4) ◽  
pp. 547-572 ◽  
Author(s):  
Andrew Reynolds
Keyword(s):  
Multivariate Regression ◽  
Regression Models ◽  
Socioeconomic Development ◽  
Party System ◽  
Political Representation ◽  
Parliamentary System ◽  
Dependent Variables ◽  
The World ◽  
Political Office ◽  
Women In Parliament

This article reports the results of a survey of women in legislatures and executives around the world as they were constituted in 1998 (N = 180). The chief hypotheses regarding the factors hindering or facilitating women's access to political representation were tested by multivariate regression models. The regression models juxtaposed a cocktail of institutional, political, cultural, and socioeconomic variables with the following dependent variables: (1) the percentage of MPs who are women and (2) the percentage of cabinet ministers who are women.A number, although not all, of the cited hypotheses were statistically confirmed and more finely quantified. The socioeconomic development of women in society has an effect on the number of women in parliament but not in the cabinet. A country's length of experience with multipartyism and women's enfranchisement correlates with both the legislative and the executive percentage. Certain electoral systems are more women friendly than others. The ideological nature of the party system affects the number of women elected and chosen for cabinet posts. And last, the state's dominant religion, taken as a proxy for culture, also statistically relates to the number of women who will make it to high political office. However, other long-held hypotheses were not proved. The degree of democracy is not a good indicator of the percentage of women who will make it into the legislature or the cabinet, nor is the dichotomy between a presidential or parliamentary system.

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