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A logistic regression analysis on factors impacting pulse level
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A logistic regression analysis on factors impacting pulse level. This study evaluates the risk factors associated with abnormal pulse levels in the Nigeria society using factors such as age, income and marital status. The data sourced were analyzed using the binary logistic regression model in SPSS 22.0. The result of the study reveals that the age of individuals has a significant effect in influencing the pulse level of people in this study since it has a p-value of less than 0.05. The study also pointed out that the odds of having a normal pulse level is 0.946 times the other factors presented. The normal pulse for healthy adults ranges from 60 to 100 beats per minute which were common among the population studied. It should be noted that the pulse level of individuals can be used as an index for healthy living of people.
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