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Spss version 23.0 for the windows platform

Manufactured by IBM
Sourced in United States

SPSS Version 23.0 for the Windows platform is a statistical software package developed by IBM. It provides data analysis and statistical modeling capabilities for researchers and analysts. The software is designed to handle a wide range of data types and offers a variety of analytical tools and techniques, including regression analysis, factor analysis, and time series analysis.

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Lab products found in correlation

2 protocols using spss version 23.0 for the windows platform

1

Lifestyle Factors and Mental Health

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Lifestyle scores were categorized into dichotomous responses (yes/no) before being entered into a logistic regression. Depression, anxiety and stress scores were categorized into a dichotomous response (yes/no) before submitted to univariate analysis. Participants with a cut-off score of ≥10 in depression, ≥8 in anxiety and ≥15 in stress dimension were considered as having these disorders as referenced by the DASS manual [10 (link)] (Table 1). Statistical analysis was performed using SPSS Version 23.0 for the Windows platform (SPSS Inc., Chicago, IL, USA). Prevalence estimates (%) were presented at 95% confidence intervals (95% CI) calculated from the Standard Error (SE).
Univariate analysis derived mean values, standard deviations (SD), frequencies (n) and proportion percentages (%) from categorical and continuous variables. Bivariate and multivariate analyses then measured the strength of the associations between variables and sought to identify significant correlates of depression, anxiety and stress. All tests were two-tailed with the level of statistical significance defined as p < 0.05. Results were presented as odds ratio (ORs) and as 95% confidence intervals (95% CI).
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2

Associations Between Blood Pressure, Depression, Anxiety, and Stress

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Data was initially subject to descriptive statistical analysis. Pearson’s correlation analysis was conducted to assess associations between blood pressure and Depression, Anxiety, and Stress. Variables were then dichotomised to enable a good comparison of outcomes; participants with a cut-off score of ≥10 in depression, ≥8 in anxiety, and >15 in stress were considered as having these disorders as referenced by the DASS [36 ]. A forward-stepwise (conditional) binominal logistic regression was utilised to measure the strength of associations between variables and sought to identify significant predictors for the outcomes of interest to the study. The level of statistical significance was defined as p < 0.05. Statistical analysis was performed using SPSS Version 23.0 for the Windows platform (SPSS Inc.; Chicago, IL, USA).
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