Interpreting results of Multiple Linear Regression

Multiple Linear Regression Results

Multiple Linear Regression Results

by Gracielle Ruth Adajar -
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Díaz Hernández, M. A., Gorrostola Camargo, A. P., & Romero, D. M. (2024). Work-related stress and quality of life in nurses during the Covid-19 pandemic. Revista Cuidarte, 15(1). http://dx.doi.org/10.15649/cuidarte.3042

1. What are the research objectives? 

There is only one objective presented in the study which is to evaluate the connection between quality of life and work-related stress in nurses during the COVID-19 pandemic. 

2. What are the main findings (related to the use of multiple linear regression)?

Table 3 (p. 7) shows the result of the final multiple linear regression model. Level of stress, age, sex, marital status, number of dependents, position within the institution, work experience, number of monthly hours worked, and service in which they work showed association with quality of life. However, when these variables were included in the final linear regression model, only age [31 years and older (B=4.081 p=0.033)], sex [Woman (B= -6.581, p=0.013)], civil status [Single- divorced-widowed (B=-5.744, p=0.003)], work experience [>12 months of work experience ( B=5.931, p=0.015)], and stress level (B= -0.360, p=<0.001), were significant, and these are the main findings. 

3. Interpret the statistical results.

Those 31 and older had a 4.08 improvement in quality of life over those between the ages of 18 and 30. Compared to men, women's quality of life is reduced by 6.58. The quality of life is negatively impacted by being single, divorced, or widowed by 5.74 points as compared to married individuals in a relationship. When compared to individuals with work experience of less than or equal to 12 months, those with more than 12 months of experience have a 5.93 rise in quality of life. The quality of life drops by 0.3 points for every unit that the stress level rises. These characteristics statistically and collectively predicted quality of life to vary by 39%. It is important to emphasize that, at 19.2%, the stress level was the primary cause of the difference.

4. What are the conclusions of the study (related to the use of multiple linear regression)?

Being a female nurse, single, divorced, or widowed are factors that decrease quality of life. Meanwhile, being a male nurse, 31 years old and above, married, and working for more than 12 months in an institution increases the quality of life. This may have something to do with the fact that women make up the majority of nurses, and studies suggest that women experience higher amounts of stress than men do, which lowers their quality of life. Additionally, people who have worked for a year or less report lower quality of life; this could be related to stress-related adjustments made at work. Additionally, there is a 0.3 drop in quality of life for every point at which stress rises.