We used a chi-square test or analysis of covariance to assess general characteristics. To determine if the association of UI with geriatric syndromes and related factors according to gender, multiple logistic regression analysis was carried out after adjusting for confounding factors such as age, length of hospital stay, and past medical history (e.g., stroke, experience of any surgery). Additionally, we conducted another multiple logistic regression analysis to evaluate the associations between geriatric syndromes and UI-related QOL, this time adjusting gender in addition to the confounding variables mentioned above. Statistical analyses were conducted with IBM SPSS statistical software ver. 24.0 (IBM Corp., Armonk, NY, USA). Statistical significance was defined as a P-value of <0.05.
Spss statistical software ver 24
Manufactured by IBM
Sourced in United States
SPSS Statistical Software version 24.0 is a comprehensive analytical tool used for data management, analysis, and visualization. It provides a wide range of statistical methods and techniques to help users gain insights from their data.
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Lab products found in correlation
2 protocols using spss statistical software ver 24
1
Geriatric Syndromes and Urinary Incontinence
2
Gender Differences in Rapid Weight Loss Practices
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Collected data were analyzed using SPSS statistical software (ver. 24.0) (IBM Statistics, Armonk, NY, United States). First, data were checked for normality using a Kolmogorov–Smirnov test. Descriptive statistics were calculated for all the variables involved in the analysis, including height, weight, RWL frequency, RWL methodology, and influence in weight-cutting practices. Then, gender differences regarding weight loss and weight regain were evaluated through a t-test, while diversity in RWL techniques and source of influence was calculated through the Chi-square test. The significance level was set at p = 0.05.
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