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1. Running head: OBESITY AND VENITLATORY SUPPORT 1
Is There An Association Between Obesity And Requiring Ventilatory Support?
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Institution Affiliation:
Date:

2. OBESITY AND VENITLATORY SUPPORT 2
Contents
Study design.....................................................................................................................................3
Variables ..........................................................................................................................................3
Hypotheses.......................................................................................................................................3
Univariate Analysis..........................................................................................................................4
Bivariate analysis .............................................................................................................................6
Statistical test and assumptions........................................................................................................7
Test Statistics ...................................................................................................................................7
Summary........................................................................................................................................10

3. OBESITY AND VENITLATORY SUPPORT 3
Is there an association between obesity and requiring ventilatory support?
Study design
Observational-obesity study was cross-sectional survey don on 5000 patients admitted in various
hospitals in Brazil hospitals. The data was cleaned using the jamovi version1.6.0.
Variables
The Independent variable (IV) is "Obesity," (categorical, dichotomous)
The dependent variable (DV) is ventilatory-support (categorical, dichotomous).
Both the obesity and the ventilator-support data collected from the field were categorical
since the questionnaire contained "Yes" and "No" questions.
The changes made on the variables were removing the invalid variables from the data to
remain with clean data. Also, in the column of patients requiring ventilator support, 867 values
were missing. The missing values were assigned a value equivalent to 9999 and filtered out by
jamovi software.
Hypotheses
Null hypotheses:
There is no association between obesity and requiring ventilator support.
Alternative hypothesis:
There is an association between obesity and requiring ventilator support.
Obesity and ventilatory_support data
This is a two-tailed hypothesis test.

4. OBESITY AND VENITLATORY SUPPORT 4
To effectively summarize patients' data with obesity, we will use jamovi software to
calculate mean, median, modes, range, variance, minimum, maximum, standard deviations, and
quartiles.
Univariate Analysis
Descriptives
Obesity Ventilatory_support
N 5000 5000
Missing 0 0
Mean 1.45 0.567
Median 1 1
Standard
deviation
0.553 0.495
Minimum 1 0
Maximum 10 1
Table 1: Descriptive statistics
Data relating to obesity was collected from 5000 patients living within Brazil, where a
simple randomized survey was conducted. The mean rate of obesity is 1.45, while the median is
1. Also, the proportion of patients having obesity is 2765/500 (55.3%) of the sample size; the
proportion 44.6% had no obesity condition.

5. OBESITY AND VENITLATORY SUPPORT 5
Figure 1: Obesity Bar plot
The ventilatory_support data, on the other hand, the ventilatory_support data has a mean of 0.567
with a standard deviation of 0.495.
Frequencies of Obesity
Levels Counts
% of
Total
Cumulative
%
Yes 2765 55.3 % 55.3 %
No 2231 44.6 % 99.9 %
10 4 0.1 % 100.0 %
Table 2: Obesity frequency table
55.3% of the respondents accepted to have obese, while 44.6% do not have obese.
Frequencies of Ventilatory_support
Levels Counts
% of
Total
Cumulative
%
No 2163 43.3 % 43.3 %
Yes 2837 56.7 % 100.0 %
Table 3: Ventilatory_support frequency table

6. OBESITY AND VENITLATORY SUPPORT 6
56.7% of the patients surveyed have used ventilator support during their admission, while 43.3%
have not used ventilator support during admission.
Provide details of the graphical summary
Figure 2: Veantilatory_support Box plot
The graphs do not show that many patients have used ventilatory_support.
Bivariate analysis
In this analysis, we use Fishers’ exact test to determine the strength of association between
patients with obesity condition and patients requiring ventilator support. From the jamovi output
below, it is indicated that Pear. This shows that there a negative relationship between patients with
obese conditions and patients requiring ventilator support.

7. OBESITY AND VENITLATORY SUPPORT 7
Provide details of the graphical summary
Figure 3: A comparison chart of obesity and ventilator_support
Statistical test and assumptions
The variables are independent
Test Statistics
The significance level is 0.05
If p<0.05 reject the null hypothesis
In the sample of 5000 patients who participated in the study, 1378 (49.8%) of obese patients
have been used ventilator support during their admission, 1387 (50.2%) of patients who are
obese have not used ventilator support during their admission. It was also found that 774 (34.7%)

8. OBESITY AND VENITLATORY SUPPORT 8
of patients who are not obese had not used ventilator support, while 1457 (65.3%) of patients
without obesity had used ventilator support when they were admitted to the hospital.
Contingency Tables
Ventilatory_support
Obesity No Yes Total
Yes Observed 1387 1378 2765
% within
row
50.2 % 49.8 % 100.0 %
No Observed 774 1457 2231
% within
row
34.7 % 65.3 % 100.0 %
10 Observed 2 2 4
% within
row
50.0 % 50.0 % 100.0 %
Total Observed 2163 2837 5000
% within
row
43.3 % 56.7 % 100.0 %
Table 3: cross-tab table
χ² Tests
Value df p
χ² 120 2 < .001
Fisher's
exact
test
< .001
N 5000
Table 4: Fisher’s exact test jamovi output
The proportion of patients who required ventilator support during their medication was
significantly different between individuals with or without obesity (Fisher's exact test (X2=120,
p=0.001). We reject the null hypothesis and conclude that the data provide enough evidence to
reject the claim that there is no association between obesity and requiring ventilator support at a
0.05 significant level.

9. OBESITY AND VENITLATORY SUPPORT 9

10. OBESITY AND VENITLATORY SUPPORT 10
Summary
Data collected on patients with obesity and patients who required ventilator_support from
a sample of 50000 Brazilian patients admitted in different hospitals within the country. The mean
rate of obesity is 1.45, while the median is 1. Also, the proportion of patients having obesity is
2765/5000 (55.3%) of the sample size; the proportion 44.6% had no obesity condition. The
descriptive statistics of the two variables revealed that the mean score for the patient with obesity
was 1.45 (SD=0.553) and a median of 1. To the patients requiring ventilators, had the mean was
0.567 (SD=0.495). The Fishers’ exact tests between the two variables revealed that the two
variables have a significant association (p=0.05), which is statistically significant at α=0.05. This
means that as the number of patients with obesity increases, the number of patients requiring
ventilators would significantly increase. However, this is not consistent with much literature.
Interestingly the hypothesis test for two paired results showed a p-value of 0.001, lower than
α=0.05. The null hypothesis is rejected, and a conclusion made that the variables provide enough
evidence at α=0.05 that there is an association between obesity and requiring ventilator support.