Dream sharing frequency: Associations with sociodemographic variables and attitudes toward dreams in an American sample.

Dreaming ◽  
2019 ◽  
Vol 29 (3) ◽  
pp. 211-219
Author(s):  
Michael Schredl ◽  
Kelly Bulkeley
Keyword(s):  
Sociodemographic Variables ◽  
American Sample ◽  
Dream Sharing

Sharing Dreams: Sex and other Sociodemographic Variables

2009 ◽  
Vol 109 (1) ◽  
pp. 235-238 ◽  
Author(s):  
Michael Schredl
Keyword(s):  
Social Class ◽  
Sociodemographic Variables ◽  
German Sample ◽  
Common Experience ◽  
Dream Sharing

Dream sharing is a common experience for most people. Factors which might be related to dream sharing in a representative German sample were investigated in the present study. As expected, the frequency of positively toned and neutral dreams and the frequency of negatively toned dreams were related to dream sharing. In addition, an effect of sex was found: women shared their dreams more often than men. Dream sharing differing by social class and education might point to class-specific attitudes toward dreams which have not yet been studied in detail.

Psychometric Properties of the Test Anxiety Scale for Children in a Mexican-American Sample

2012 ◽  
Author(s):  
Sylvia Z. Ramirez ◽  
Sachin Jain ◽  
Leila L. Flores-Torres ◽  
Roxanna Perez ◽  
Peter L. Kranz
Keyword(s):  
Psychometric Properties ◽  
Test Anxiety ◽  
Mexican American ◽  
Anxiety Scale ◽  
American Sample

Examining Associations Between Race, Gender, Alcohol Use, School Performance, and Patterns of Bullying in the School Context: A Latent Class Analysis

2021 ◽  
pp. 088626052199912
Author(s):  
Valdemir Ferreira-Junior ◽  
Juliana Y. Valente ◽  
Zila M. Sanchez
Keyword(s):  
Alcohol Use ◽  
Latent Class Analysis ◽  
School Performance ◽  
Latent Class ◽  
School Context ◽  
Bullying Victimization ◽  
Latent Classes ◽  
Class Analysis ◽  
Seventh Grade ◽  
Sociodemographic Variables

Although many studies addressed bullying occurrence and its associations, they often use individual variables constructed from few items that probably are inadequate to evaluate bullying severity and type. We aimed to identify involvement patterns in bullying victimization and perpetration, and its association with alcohol use, school performance, and sociodemographic variables. Baseline assessment of a randomized controlled trial were used and a latent class analysis was conducted to identify bullying patterns among 1,742 fifth-grade and 2,316 seventh-grade students from 30 public schools in São Paulo, Brazil. Data were collected using an anonymous self-reported, audio-guided questionnaire completed by the participants on smartphones. Multinomial logistic regressions were performed to verify how covariant variables affected bullying latent classes. Both grades presented the same four latent classes: low bullying, moderate bullying victimization, high bullying victimization, and high bullying victimization and perpetration. Alcohol use was associated with all bullying classes in both grades, with odds ratio up to 5.36 (95% CI 3.05; 10.38) among fifth graders from the high bullying victimization and perpetration class. Poor school performance was also strongly associated with this class (aOR = 10.12, 95%CI = 4.19; 24.41). Black/brown 5th graders were 3.35 times more likely to fit into the high bullying victimization class (95% CI 1.34; 8.37). Lack of evidence for association of sociodemographic variables and bullying latent class among seventh-grade students was found. Bullying and alcohol use are highly harmful behaviors that must be prevented. However, prevention programs should consider how racial and gender issues are influencing the way students experience violence.

scholarly journals Relationship Between Fear of COVID-19, Psychopathology and Sociodemographic Variables in Malaysian Population

2021 ◽  
Author(s):  
Mohd Amiruddin Mohd Kassim ◽  
Nicholas Tze Ping Pang ◽  
Noor Hassline Mohamed ◽  
Assis Kamu ◽  
Chong Mun Ho ◽  
...  
Keyword(s):  
Sociodemographic Variables ◽  
Malaysian Population

scholarly journals The Construct of Subjective Economic Inequality

2021 ◽  
pp. 194855062199686
Author(s):  
Anita Schmalor ◽  
Steven J. Heine
Keyword(s):  
Economic Inequality ◽  
Past Research ◽  
Objective Measures ◽  
Subjective Measure ◽  
Psychological Variables ◽  
American Sample ◽  
Key Variables ◽  
The Relationship ◽  
Measures Of Inequality

Economic inequality has been associated with a host of social ills, but most research has focused on objective measures of inequality. We argue that economic inequality also has a subjective component, and understanding the effects of economic inequality will be deepened by considering the ways that people perceive inequality. In an American sample ( N = 1,014), we find that some of the key variables that past research has found to correlate with objective inequality also correlate with a subjective measure of inequality. Across six countries ( N = 683), we find that the relationship between subjective inequality and different psychological variables varies by country. Subjective inequality shows only modest correlations with objective inequality and varies by sociodemographic background.

scholarly journals Nutritional and Functional Assessment of Hospitalized Elderly: Impact of Sociodemographic Variables

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Emam M. M. Esmayel ◽  
Mohsen M. Eldarawy ◽  
Mohamed M. M. Hassan ◽  
Hassan Mahmoud Hassanin ◽  
Walid M. Reda Ashour ◽  
...  
Keyword(s):  
High Risk ◽  
Functional Status ◽  
Low Income ◽  
Barthel Index ◽  
Nutritional Risk ◽  
Moderate Risk ◽  
Sociodemographic Variables ◽  
Hospitalized Elderly ◽  
Ward Nurse ◽  
Good Nutrition

Background.This work was constructed in order to assess the nutritional and functional status in hospitalized elderly and to study the associations between them and sociodemographic variables.Methods.200 elderly patients (>65 years old) admitted to Internal Medicine and Neurology Departments in nonemergency conditions were included. Comprehensive geriatric assessments, including nutritional and functional assessments, were done according to nutritional checklist and Barthel index, respectively. Information was gathered from the patients, from the ward nurse responsible for the patient, and from family members who were reviewed.Results.According to the nutritional checklist, 56% of participants were at high risk, 18% were at moderate risk of malnutrition, and 26% had good nutrition. There was a high nutritional risk in patients with low income and good nutrition in patients with moderate income. Also, there was a high nutritional risk in rural residents (61.9%) in comparison with urban residents (25%). Barthel index score was significantly lower in those at high risk of malnutrition compared to those at moderate risk and those with good nutrition.Conclusions.Hospitalized elderly are exposed to malnutrition, and malnourished hospitalized patients are candidates for functional impairment. Significant associations are noticed between both nutritional and functional status and specific sociodemographic variables.

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