Assignment on Prevalence Of Fibromyalgia8

Running head: PREVALENCE OF FIBROMYALGIA 1
Prevalence of Fibromyalgia in patients presenting to Medical OPD at The Indus Hospital
Name of student:
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PREVALENCE OF FIBROMYALGIA 2
Prevalence of Fibromyalgia in patients presenting to Medical OPD at The Indus Hospital
Data analysis
The data analysis was conducted to meet the objectives of the study. The study had two
objectives; to determining the percentage of patients with Fibromyalgia presenting to
international medicine clinics with complaints of chronic fatigue of at least 6 weeks and
generalized body pain and to determine the factors associated with fibromyalgia in this patient
population. The results and interpretation are outlined in the sections that follow (HowardR,
2018).
Table 1 outlines the percentage of patients with Fibromyalgia. The frequency and
percentage of patients have been categorized by age and sex (male or female) to give a
comparative analysis between the two sex categories. The frequency table demonstrates that
generally, females had a higher number of cases of Fibromyalgia across the age groups. The
number of females who had reported Fibromyalgia cases (191) was significantly higher than the
corresponding number of males (72) (Slebodnik, Hermer, & Pardon, 2018).
The results also demonstrate that the age group with the highest cases of Fibromyalgia
was 24-28 age bracket with 14.45% of the total cases. On the other hand, the age group with the
lowest number of cases of Fibromyalgia was 74-78 age bracket with only 3 cases (1.14% of the
total cases). The other observation is that those who are mid-aged are, between 19 years and 58
years old reported relatively higher numbers of Fibromyalgia cases compared to those below age
19 as well as those above age 58 (Athina, Lars, Dick, & Paul, 2017).
Table 1: A frequency table of age by sex
Age Female Male Frequency Percentage Frequency
(blank) 8 1 9 3.42%
14-18 7 2 9 3.42%
19-23 13 1 14 5.32%
24-28 30 8 38 14.45%
29-33 18 15 33 12.55%
34-38 19 7 26 9.89%
39-43 21 11 32 12.17%
44-48 17 9 26 9.89%
49-53 22 5 27 10.27%
54-58 13 3 16 6.08%

PREVALENCE OF FIBROMYALGIA 3
59-63 7 5 12 4.56%
64-68 9 2 11 4.18%
69-73 5 1 6 2.28%
74-78 2 1 3 1.14%
1984-1988 1 1 0.38%
Grand Total 191 72 263 100.00%
The other analysis was the descriptive statistics. The descriptive statistics analysis gives
the summary of the numerical variables such as the mean, the variance, the range, and the
standard deviation. For example, the average age of the participants was 40.12 years. The oldest
participant was 75 years old while the youngest participant was 17 years old. The difference in
age between the oldest and the youngest participant was 58 years. The variance of the ages of the
participants was 207.461 and the standard deviation was 14.404 (Sarah & Joanne, 2018).
The average amount of income among the employed participants was $26356.13. The
participant who was earning the highest amount of income $100000 while the least amount of
income earned by the participants was $27. Therefore, the difference between the highest earning
participant and the lowest earning participant was $99973. The variance of the monthly earnings
of the participants was 262090223.640. On the other hand, the standard deviation of the earnings
was 1618.201 (Sushma, 2017).
The lowest number of days of the symptoms was 1 day while the highest number of days
of the symptom was 20 days. Therefore, the difference between the lowest number of days of the
symptoms and the highest number of days of the symptom was 19. The average number of days
of the symptom was 4.378. The variance of the duration of the symptom was 12.495 while the
standard deviation was 3.5348 (Loeb, et al., 2017).
The results also demonstrate that the least number of days that the patients take to notice
the symptoms is 1 day. On the other hand, the greatest number of days that the patients take to