It takes at least 30 to 45 days for reversibility of the sense of smell and taste. In the present study, according to experiments, caffeine of coffee in different groups has had significant effects. In order to investigate the effect of coffee consumption on the taste and smell of COVID-19 patients, we attempted to sample in 20 provinces of the country, COVID-19 patients were separated by gender and underlying and non-underlying disease, doses of 15-20 mg for non-underlying patients and 25-30 mg for underlying patients. In this study, field patients are divided into the following 4 groups: (1) Diabetes and hypertension; (2) Heart disease and hypertension; (3) Heart disease and diabetes; Heart disease, hypertension and diabetes. The Consort flow deagram is also shown in figure 1.
Finally, it was investigated the issue of patients' recovery or non-recovery according to their recovery time and the results were recorded. In the following, it will examine the observations in descriptive statistics and inferential statistics. To describe the observations, first, we plotted the bar graphs of the number of recovered and non-recovered people by those who consumed coffee and those who did not consume coffee (Fig. 2).
Figure 2 indicated that how coffee consumption have influence on improving people. However, in order to provide a further distinction, in reporting the number of recoveries, it was also used the type of underlying and without underlying disease (Fig. 3). Again, like figure 2, we observed that how much coffee consumption plays a role in improving people. Also, people without non-underlying diseases are more common than other people.
Diabetes and hypertension are also the most common underlying diseases. Among them, patients that have been affected by all three types of underlying diseases have the lowest frequency. In order to make better use of the information in these graphs, in the following table, it was extracted the total number of patients and the proportion of recoveries for people who drank coffee separately into groups of underlying and without underlying patients.
Table 1. The total number of patients and the proportion of recovered patients by underlying are for people who have consumed coffee.
|
consumption
|
with coffee
|
without coffee
|
disease
|
diabetics and blood pressure
|
improvement
|
improved
|
98.3%
|
1.3%
|
not improved
|
1.7%
|
98.7%
|
heart and diabetic and hypertension
|
improvement
|
improved
|
96.6%
|
1.4%
|
not improved
|
3.4%
|
98.6%
|
heart and diabetics
|
improvement
|
improved
|
98.2%
|
1.1%
|
not improved
|
1.8%
|
98.9%
|
heart and hypertensive
|
improvement
|
improved
|
98.4%
|
1.2%
|
not improved
|
1.6%
|
98.8%
|
without underlying disease
|
improvement
|
improved
|
98.5%
|
1.3%
|
not improved
|
1.5%
|
98.7%
|
The smallest rate of recovery is 0.966 and is related to patients who have all three underlying diseases; also the highest rate is related to people who do not have underlying diseases. The ratio of those who have not consumed coffee is equal to 0.014 and is related to people who have all three underlying diseases. In the first step, we examined the effectiveness of coffee consumption in improving the sense of smell and taste by group of underlying and without underlying patients. The findings are shown in Table 2. It should be noted that we examined the gender factor separately in all of the following inferences.
Table 2. Chi-Square tests to evaluate the effectiveness of coffee consumption in improving patients' sense of smell and taste by group of underlying and without underlying patients
disease
|
Value
|
df
|
Asymptotic Significance (2-sided)
|
Exact Sig. (2-sided)
|
diabetics and blood pressure
|
Pearson Chi-Square
|
19084.878
|
1
|
0.000
|
0.000
|
Continuity Correction
|
19079.239
|
1
|
0.000
|
|
Likelihood Ratio
|
18736.814
|
1
|
0.000
|
0.000
|
Fisher's Exact Test
|
|
|
|
0.000
|
Linear-by-Linear Association
|
19083.969
|
1
|
0.000
|
0.000
|
heart and diabetic and hypertension
|
Pearson Chi-Square
|
10598.242
|
1
|
0.000
|
0.000
|
Continuity Correction
|
10594.050
|
1
|
0.000
|
|
Likelihood Ratio
|
12546.883
|
1
|
0.000
|
0.000
|
Fisher's Exact Test
|
|
|
|
0.000
|
Linear-by-Linear Association
|
10597.359
|
1
|
0.000
|
0.000
|
heart and diabetics
|
Pearson Chi-Square
|
16105.838
|
1
|
0.000
|
0.000
|
Continuity Correction
|
16101.002
|
1
|
0.000
|
|
Likelihood Ratio
|
17781.581
|
1
|
0.000
|
0.000
|
Fisher's Exact Test
|
|
|
|
0.000
|
Linear-by-Linear Association
|
16104.918
|
1
|
0.000
|
0.000
|
heart and hypertensive
|
Pearson Chi-Square
|
16925.430
|
1
|
0.000
|
0.000
|
Continuity Correction
|
16920.561
|
1
|
0.000
|
|
Likelihood Ratio
|
18663.076
|
1
|
0.000
|
0.000
|
Fisher's Exact Test
|
|
|
|
0.000
|
Linear-by-Linear Association
|
16924.505
|
1
|
0.000
|
0.000
|
without underlying disease
|
Pearson Chi-Square
|
43600.864
|
1
|
0.000
|
0.000
|
Continuity Correction
|
43592.902
|
1
|
0.000
|
|
Likelihood Ratio
|
32887.105
|
1
|
0.000
|
0.000
|
Fisher's Exact Test
|
|
|
|
0.000
|
Linear-by-Linear Association
|
43599.984
|
1
|
0.000
|
0.000
|
Total
|
Pearson Chi-Square
|
107006.670
|
1
|
0.000
|
0.000
|
Continuity Correction
|
107000.978
|
1
|
0.000
|
|
Likelihood Ratio
|
104083.050
|
1
|
0.000
|
0.000
|
Fisher's Exact Test
|
|
|
|
0.000
|
Linear-by-Linear Association
|
107005.766
|
1
|
0.000
|
0.000
|
In Table 2, it uses chi-squared tests such as Pearson Chi-Square, Likelihood Ratio, Fisher's Exact Test, and Linear-by-Linear Association for contingency tables. By using two columns on the right that show significance, the initial assumption can be judged. It has been calculated significant values in these two columns by using two methods of asymptote and Monte Carlo. Here, we observed that the significance is equal to 0.000 in all cases. Therefore, for all test methods, in all groups of underlying and non-underlying patients, we reject the initial assumption at the level of α = 0.01 and we accept the alternative assumption based on the effectiveness of coffee consumption in improving patients.
The last line of this table was marked by Total, it examines the positive effect of coffee consumption on the recovery of patients, regardless of whether the patient is a underlying and non-underlying. In this line, we also observed the effectiveness of coffee consumption in improving patients.
We also examined whether underlying and non-underlying disease are effective in the recovery of individuals or not, for this reason, it was extracted Table 3. In this Table, we observed that the type of underlying disease is effective in improving patients. Although in Table 1, there is a small gap between the proportion of recovered patients in the underlying and non-underlying patients, but due to the high volume of observations, this small difference is evident. Carefully in Table 1, we find that the chances of recovery are higher for those who do not have the underlying disease than for the other groups and for those who suffer from all three types of the underlying disease than for the other groups.
Table 3. Chi-Square tests to evaluate the effect of underlying and non-underlying disease type on improving patients' sense of smell and taste
|
Value
|
df
|
Asymptotic Significance (2-sided)
|
Pearson Chi-Square
|
3589.678
|
4
|
0.000
|
Likelihood Ratio
|
3589.482
|
4
|
0.000
|
Linear-by-Linear Association
|
1388.499
|
1
|
0.000
|
N of Valid Cases
|
118341
|
|
|