Related Experiment Video
Updated: Jun 20, 2025
07:40
Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
3.3K
The Correlation Between Comfort Level and Quality of Life in Female Patients With Urinary Incontinence: Structural
Emel Gülnar1,2,3, Ercan Yuvanç1,2,3, Nurcan Çalışkan1,2,3
1Emel Gülnar, PhD, RN , Kırıkkale University, Faculty of Health Sciences, Nursing Department, Kırıkkale, Turkey.
Summary
Increased comfort levels significantly correlate with better quality of life for women experiencing urinary incontinence (UI). Addressing UI risk factors through training and counseling is crucial for improving patient well-being.
Area of Science:
- Urology
- Quality of Life Research
- Medical Statistics
Background:
- Urinary incontinence (UI) significantly impacts women's quality of life.
- Understanding the relationship between comfort and quality of life is essential for effective management.
Purpose of the Study:
- To develop a model correlating comfort levels with quality of life in women with UI.
- To analyze the relationship between UI-specific quality of life, comfort, and general health-related quality of life.
Main Methods:
- Cross-sectional, descriptive correlational research design.
- Utilized the Incontinence Quality of Life (I-QOL) form, Urinary Incontinence and Frequency Comfort Questionnaire (UIFCQ), and SF-36.
- Structural equation modeling (SEM) with AMOS was employed for causal modeling.
Main Results:
- A statistically significant correlation was found between I-QOL, UIFCQ, and SF-36.
- I-QOL scores showed moderate correlation with SF-36 (r=0.65) and high correlation with UIFCQ (r=0.76).
- UIFCQ scores demonstrated a moderate correlation with SF-36 (r=0.66).
Conclusions:
- Higher comfort levels are directly associated with improved UI-specific and health-related quality of life.
- Monitoring UI risk factors and providing targeted interventions are recommended.
- Training and counseling can help mitigate the impact of UI.
Related Concept Videos
01:24Confidence Coefficient
7.6K
The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
7.6K
03:34Theory of Romantic Attachment in Adulthood
43.4K
Attachment is a long-standing connection or bond with others. While Attachment Theory was conceived in developmental psychology to describe infant-caregiver bonding, it's been extended into adulthood to include romantic relationships.
43.4K
01:19Expected Frequencies in Goodness-of-Fit Tests
2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
2.5K
02:45Self-Discrepancy Theory
18.3K
One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
18.3K
01:16Goodness-of-Fit Test
3.3K
The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
3.3K