Prevalence
of Allergic Rhinitis & Its Risk Factors Among
An-Najah University Students - Nablus/ Palestin
.........................................................................................................................
Dr. Samar Ghazal/Musmar*, Dr. Mohammed Musmar**,
W. A.Minawi ***
* Consultant, Family Medicine, NGHAKH, Al-Hasa,
KSA and Clinical Assistant Professor, Family
Medicine, An-Najah University College of Medicine
**Associate Professor An-Najah University College
of pharmacy
*** Instructor, An-Najah University
Correspondence:
Samar Ghazal/Musmar, MD, FAAFP
Consultant, Family Medicine
King Abdulaziz Hospital National Guard Health
Affairs,
P.O. Box 2477
Al-Hasa, KSA
Clinical Assistant Professor, Family Medicine,
An-Najah University, College of Medicine, Nablus
Palestine, Al-Quds University, College of Medicine,
Palestine.
P.O. Box 608
Nablus/ West Bank, Palestine
E-mail: smusmar1@yahoo.com
Ph: +970-9-2338722
Mobile: +970-599-840440, +966-56-698750
|
ABSTRACT
Background:
Inhalant allergic conditions such as seasonal
and perennial allergic rhinitis is becoming
quite common. The effect of allergy on
an individual's quality of life and the
extent to which it may restrict daily
activities is often overlooked.
Controlling allergies
can significantly decrease health care
costs. The purpose of this study is to
estimate the prevalence of allergic rhinitis
among young adults in Palestine represented
by An-Najah University students.
Methods: The
study sample consisted of around 1,000
(52% females, & 48% males) randomly
selected students from all colleges of
the University. Data were collected through
structured interview including questionnaire
filling. All data were analysed using
SPSS program applying Chi-square test,
with 95% level of significant (P value
= 0.05).
Results: Allergic
rhinitis prevalence rate was 3.1 and the
percentage of patients who reported to
have allergic rhinitis was 38.1%; there
was no statistically significant association
between allergic rhinitis and gender,
smoking, place of living, and other housing
conditions. On the other hand the relationship
between allergic rhinitis and weight loss,
deep sleeping, chronic respiratory infections,
nasal polyps, anxiety, and sleep apnea
was a statistically significant relationship
(p value < 0.05). The triggers that
have large effects on the health of the
population sample for allergic rhinitis
were respiratory infections, tyre burning
and war gases, house dust, strong odours,
auto exhaust, smoke and weather changes
(49.7%, 49.1%, 46.7%, 40.6%, 33.9%, 33.8%,
34.2%), respectively.
Conclusion:
Results show relatively lower allergic
rhinitis prevalence in Palestine compared
to some neighbouring countries, but were
consistent with studies done in Turkey.
The results confirmed the strong relationship
of Allergic Rhinitis and respiratory infections
and Asthma.
Key Words: allergic Rhinitis, prevalence,
Palestine.
|
Allergic rhinitis, especially
in adolescents and children, has become a major
public-health problem in developed and developing
countries1. A large - scale cohort
study in the UK revealed a rising trend of allergic
rhinitis, from 12 to 23% during 1958-19702.
Several large surveys in Switzerland also showed
increasing prevalence of self-reported hay fever
from 9.6% in 1985 to 13.5% in 19923.
Similar results have also been reported all
around the world4,5,6.
Inhalant allergic conditions such as seasonal
and perennial allergic rhinitis are becoming
quite common7. The effect of allergy
on an individual's quality of life and the extent
to which it may restrict daily activities is
often overlooked.
Controlling allergies can significantly decrease
health care costs8,9. The purpose
of this study is to estimate the prevalence
of allergic rhinitis among young adults in Palestine
represented by An-Najah University students.
Nablus district is located
in the northern part of the West bank. It is
bounded by Jenin from the north; Tulkarm from
the west; Ramallah and Jericho from the south
and the Jordan river from the east10.
The geographical position of Nablus district
in the northern part of west bank gives it a
comparatively low temperature range. Located
in Nablus, An-Najah National University, is
currently the largest University in the West
Bank, with 16 colleges and around 13,000 enrolled
students11.
Population of the Study
The study population was chosen from An-Najah
university in Nablus. The study sample consisted
of a total of 1000 randomly selected students
from all colleges of the University, whether
scientific, humanitarian, or community college.
The percentage of students in the sample represented
the percentage of students in each college.
The age of the students was at a range of (18-27).
Both males and females were included in almost
equal percentage.
Data Collection
Data were collected during the period of the
first of September 2004 to the end of December
2004, using structured interview. A questionnaire
was designed, evaluated, and reviewed by an
expert statistician. A pilot test was carried
out on 30 students to find the capacity of students
to understand the questionnaire wording then
the questionnaire layout was modified accordingly.
A total of 1,116 questionnaire forms were distributed;
the total response rate in this study was 90%,
1007) questionnaires were returned.
Questionnaire Component
The questionnaire spotlighted several parts
that play important roles in triggering allergy.
The following are important components of the
questionnaire:
- Sociodemographic factors including age,
sex, college, weight, sport, and smoking.
- Environmental history including residence,
trees, allergens, inside the home, type of
cooling, type of heating, indoor animal and
type of pillow.
- Triggers that cause or worsen the subject's
symptoms including exercise, respiratory infections,
weather changes, foods. The symptoms included
nasal, sinus, eyes, chest, eczema, asthma
and allergy problem (frequency and severity),
and health problems other than asthma and
allergy.
Data Analysis
All data from questionnaires for the 1007 student
sample were entered into the computer and computed
using SPSS program and applying Chi - square
test, with 95% level of significant (P value
= 0.05).
Analysis of Descriptive Studies
Tables containing descriptive studies were
obtained, such as sex, age, residence, environmental,
social and living factors.
Analysis of Relationship
Relationship between risk factors, triggers,
and some disease with allergic rhinitis among
An-Najah University students was obtained; also
relationships between sex, age, residence, smoking,
sport practicing and allergic rhinitis were
obtained.
Table 1 describes the demographic and anthropometric
characteristics of The study sample. Males and
females were almost equal. Most of the study
sample were single (94.9%), not working (93.6%),
and non smokers (81.1%).
Table (2) describes the place of living whether
it is dormitory or own house; it also describes
some environmental factors of the place of residence.
More than half the sample live in the city,
and about half live in the university dormitory.
60% live in relatively new houses, which were
either stone buildings or brick buildings. Using
fan was the major cooling method, with only
1.3% using air conditioning.
Table 3 shows the prevalence rate of allergic
rhinitis in this study and the distribution
of allergic rhinitis according to gender and
place of residence.
Prevalence rate of allergic rhinitis was calculated
as follows:
| P
= |
Number
of people with the disease or condition
at a specific time (×10) n
|
| Number
of people in the population at risk at the
specified time* |
*The number of An-Najah University students
in the year 2004 was 12,500 students.
Table 4 shows the percentage of triggers in
relation to allergic rhinitis in our study sample.
The triggers that have a large effect on health
of population sample for rhinitis were respiratory
infections (49.7%), tyre burning and war gases
49.1%, house dust 46.7%, strong odours 40.6%,
auto exhaust 33.9%, smoke 33.8%, weather changes
34.2%, grass and trees 20.9%, and cosmetics
20.1%. All other triggers appear to have less
effect.
Table 5 shows that there was a statistically
significant relationship (p value < 0.05)
between allergic rhinitis and weight loss, deep
sleeping, chronic respiratory infections, chronic
abdominal pain, nasal polyps, anxiety, sleep
apnea, chronic diarrhea, migraines and anemia.
However there was no statistically significant
relationship (p value > 0.05) between allergic
rhinitis and gender, smoking, smoker at home,
living place, the tree and grass around the
house, kind of building, kind of heating source,
kind of cooling source, kind of animals in house,
kind of animal around the house, kind of pillow,
practice of sports, heart problems, diabetes,
thyroid disorders, skin allergy, and glaucoma.
|
Table 1: Demographic
and Anthropometric characteristics of study
sample |
| Gender |
Frequency |
Percent% |
| Male |
448 |
44.8 |
| Female |
511 |
51.1 |
| Missing system |
41 |
4.1 |
| Total |
1000 |
100 |
| Age |
Frequency |
Percent% |
| 17.5-20 |
546 |
54.6 |
| 20.5-22 |
333 |
33.3 |
| 22.5-24 |
66 |
6.6 |
| More than 24 |
25 |
2.5 |
| Missing system |
30 |
3 |
| Total |
1000 |
100 |
| College |
Frequency |
Percent% |
| Scientific |
348 |
34.8 |
| Humanitarian |
649 |
64.9 |
| Missing system |
3 |
0.3 |
| Total |
1000 |
100 |
| Sport practice |
Frequency |
Percent% |
| Yes |
514 |
51.4 |
| No |
428 |
42.8 |
| Missing system |
58 |
5.8 |
| Total |
1000 |
100 |
| M. Status |
Frequency |
Percent% |
| Married |
43 |
4.3 |
| Single |
949 |
94.9 |
| Missing system |
8 |
0.8 |
| Total |
1000 |
100 |
| Job |
>Frequency |
Percent% |
| Employed |
18 |
1.8 |
| Worker |
10 |
1 |
| Not working |
936 |
93.6 |
| Missing system |
36 |
3.6 |
| Total |
1000 |
100 |
| Smoker |
Frequency |
Percent% |
| Yes |
176 |
17.6 |
| No |
811 |
81.1 |
| Missing system |
13 |
1.3 |
| Total |
1000 |
100 |
| Smoker in house |
Frequency |
Percent% |
| Yes |
554 |
55.4 |
| No |
366 |
36.6 |
| Missing system |
80 |
8 |
| Total |
1000 |
100 |
|
Table 2: Residence,housing
and environment description of study sample |
| Place
of Living |
Frequency |
Percent% |
| Camps |
38 |
3.8 |
| Village |
550 |
55 |
| City |
410 |
41 |
| Missing
system |
2 |
0.2 |
| Total |
1000 |
100 |
| Living
in Univ. dormitories |
Frequency |
Percent% |
| Yes |
461 |
46.1 |
| No |
511 |
51.1 |
| Missing
system |
28 |
2.8 |
| Total |
1000 |
100 |
| How
old is my house |
Frequency |
Percent% |
| Less
than 20 |
602 |
60.2 |
| 20-50 |
324 |
32.4 |
| More
than 50 |
63 |
6.3 |
| Missing
system |
11 |
1.1 |
| Total |
1000 |
100 |
| The
lay out of house |
Frequency |
Percent% |
| Factories |
19 |
1.9 |
| Fields |
172 |
17.2 |
| Crowded
population |
160 |
16 |
| Quiet
place |
926 |
62.9 |
| Missing
system |
20 |
2 |
| Total |
1000 |
100 |
| Kind
of building |
Frequency |
Percent% |
| Stone
building |
534 |
53.4 |
| Asbestos
building |
31 |
3.1 |
| Block
building |
410 |
41 |
| Missing
system |
25 |
2.5 |
| Total |
1000 |
100 |
| Type
of Heating |
Frequency |
Percent% |
| Electricity |
194 |
19.4 |
| kerosene |
119 |
11.9 |
| Gas |
418 |
41.8 |
| Coal |
208 |
20.8 |
| Central
heating |
30 |
3 |
| Conditioner |
13 |
1.3 |
| Space
heaters |
8 |
0.8 |
| Missing
system |
10 |
1 |
| Total |
1000 |
100 |
| Cooling
system |
Frequency |
Percent% |
| Fan |
671 |
67.1 |
| Conditioner |
58 |
5.8 |
| Windows
of the house |
265 |
26.5 |
| Missing
system |
6 |
0.6 |
| Total |
1000 |
100 |
| Animals
living in a house |
Frequency |
Percent% |
| Cat |
113 |
11.3 |
| Dog |
16 |
1.6 |
| Birds |
90 |
9 |
| Chicken |
108 |
10.8 |
| Goats |
52 |
5.2 |
| Pigeons |
128 |
12.8 |
| Other |
23 |
2.3 |
| Nothing |
451 |
45.1 |
| Missing
system |
19 |
1.9 |
| Total |
1000 |
100 |
| Animals
living near the house |
Frequency |
Percent% |
| Cat |
224 |
22.4 |
| Dog |
58 |
5.8 |
| Horses |
41 |
4.1 |
| Chicken |
126 |
12.6 |
| Cows
And Goats |
228 |
22.8 |
| Other |
25 |
2.5 |
| Nothing |
165 |
16.5 |
| Missing
system |
23 |
2.3 |
| Total |
1000 |
100 |
| Kind
of Pillow |
Frequency |
Percent% |
| Cotton |
382 |
38.2 |
| Spring |
274 |
27.4 |
| Feathers |
48 |
4.8 |
| Wool |
243 |
24.3 |
| Other |
42 |
4.2 |
| Missing
system |
11 |
1.1 |
| Total |
1000 |
100 |
| #
of family in house |
Frequency |
Percent% |
| 3
and less |
56 |
5.6 |
| 4-6 |
291 |
29.1 |
| 7and
more |
694 |
69.4 |
| Missing
system |
9 |
0.9 |
| Total |
1000 |
100 |
| Cover
of the floor |
Frequency |
Percent% |
| Carpets |
751 |
75.1 |
| Moqutte |
141 |
14.1 |
| Tile
uncovered |
101 |
10.1 |
| Missing
system |
7 |
0.7 |
| Total |
1000 |
100 |
|
Table 3: Prevalence
rate and distribution of allergic rhinitis
among study sample |
| |
Frequency |
percentage |
Prevalence
rate |
| Allergic
Rhinitis |
381 |
38.1% |
3.1 |
| Allergic
Rhinitis/ Gender |
|
Gender |
Yes |
No |
Total |
Male
Count
% |
176
39.3% |
272
60.7% |
448
100.0% |
Female Count
% |
192
37.6% |
319
62.4% |
511
100.0% |
Total
Count
% |
368
38.4% |
591
61.6% |
959
100.0% |
|
Allergic Rhinitis/ Residence |
|
Residence |
Yes |
No |
Total |
Camp Count
% |
17
44.7% |
21
55.3% |
38
100.0% |
Village Count
% |
215
39.1% |
335
60.9% |
550
100.0% |
City Count
% |
149
36.3% |
261
63.7% |
410
100.0% |
Total
Count
% |
381
38.2% |
617
61.8 |
998
100.0% |
|
Table 4: Triggers
that worsen or cause symptoms of the study
sample |
| Triggers |
Frequency |
Percent
% * |
| Grass,
trees |
209 |
20.9 |
| House
dust |
467 |
46.7 |
| Animals |
95 |
9.5 |
| Respiratory
infections |
497 |
49.7 |
| Exercise |
68 |
6.8 |
| Night
time |
119 |
11.9 |
| Strong
odors |
406 |
40.6 |
| Cosmetics |
201 |
20.1 |
| Emotional
upset |
145 |
14.5 |
| Smoke |
338 |
33.8 |
| Tire
burning , war gases |
491 |
49.1 |
| Cold
air |
148 |
14.8 |
| Weather
changes |
342 |
34.2 |
| Drugs |
99 |
9.9 |
| Foods,
food additives |
39 |
3.9 |
| Latex |
40 |
4.0 |
| Menstrual
cycle, pregnancy |
11 |
1.1 |
| Morning
time |
116 |
11.6 |
| Auto
exhaust |
339 |
33.9 |
| Insect.
Mold |
183 |
18.3 |
* These percentages of triggers
apply for only those who have symptoms.
|
Table 5: Allergic
rhinitis& social, environmental, health
profile relationships |
|
Variables Name |
Chi Value |
P Value |
|
Gender |
0.296 |
0.587 |
|
Are you smoker |
0.225 |
0.635 |
|
Are their smokers in your
house |
1.06 |
0.303 |
|
Living place |
1.473 |
0.47 |
|
The tree and grass around
the house |
0.957 |
0.81 |
|
Kind of building that I
live in it |
3.4 |
0.18 |
|
Kind of heating source |
5.97 |
0.42 |
|
Kind of cooling source |
1.74 |
0.41 |
|
Kind of animals in house |
6.75 |
0.455 |
|
Kind of animal around the
house |
5.07 |
0.53 |
|
Kind of pillow I use |
4.97 |
0.29 |
|
# of family in my house |
24.9 |
0.07 |
|
Sports practice |
4.65 |
0.3 |
|
Heart problems |
0.17 |
0.67 |
|
Diabetes |
0.022 |
0.881 |
|
Weight loss |
7.2 |
0.007 |
|
Deep sleeping |
10.4 |
0.001 |
|
Chronic respiratory infections |
27.9 |
0.000 |
|
Chronic abdominal pain |
7.6 |
0.006 |
|
Nasal polyps |
25.7 |
0.000 |
|
Anxiety |
10.37 |
0.001 |
|
Thyroid disorder |
0.01 |
0.9 |
|
Skin disorder |
1.37 |
0.24 |
|
Sleep apnea |
5.1 |
0.023 |
|
Chronic diarrhea |
8.5 |
0.004 |
|
Migraines |
8.09 |
0.000 |
|
Anemia |
5.47 |
0.019 |
Table 1 gives a comprehensive demographic and
anthropometric description to the study sample.
Our study sample, represents the typical profile
of university students in Palestine, where we
have a fair mix of males and females; most of
them were single and around 20 years of age.
All colleges of the university were well represented
in this study sample.
Exposure to smoking whether directly and indirectly
affects more than half of the sample study,
and about half of this sample practice sports.
When the target population were distributed
according to their residence, 46.1% of the target
population were living in dormitories, which
can be explained by the political situation
after AL Aqsa Intifada in which closure and
checkpoints make transportation between Palestinian
cities very difficult. In regards to house conditions,
the results show that majority of students live
in relatively new stone buildings with quiet
lay out in the city. Although the percentage
of asbestos buildings was low, it indicates
an important need for raising awareness among
students about asbestos and its hazardous effects
on the lungs.
The triggers that have a large effect on the
health of population study sample for allergic
rhinitis were respiratory infections, tyre burning
and war gases, house dust, strong odours, auto
exhaust, smoke and weather changes (Table 4).
These results indicate that war gases and tyre
burning play an important role in worsening
allergic rhinitis symptoms which points to the
effect of political conflict and the use of
war gases and tyre burning on the health of
Palestinian society.
Furthermore our results indicate that triggers
in this study are mainly non allergic in nature.
Previous studies show that, AR triggers can
be allergic or non allergic in nature12.
The allergic triggers are house dust mite, pollen,
animals, such as dogs and cats, fungal spores
and cockroaches, particles. The non-allergic
triggers include smoke and pollution from cooking
fuels, wood smoke, smog, viral respiratory tract
infections and weather changes. All the above
triggers are found in urban, camp and rural
environments albeit to different extents12.
Our results show a statistically significant
relationship between allergic rhinitis and weight
loss, deep sleeping, chronic respiratory infections,
chronic abdominal pain, nasal polyps, anxiety,
sleep apnea, chronic diarrhea and migraines
at p value < 0.05 (Table 5).
Several studies in other parts of the world
have shown similar relationship results13,14.
The gender relationship with Allergic Rhinitis
was not statistically significant in our study
(Table 5). A Swedish study also did not find
a difference between men and women in the general
population regarding allergic rhinitis15.
However a study in Tehran, found a significant
relationship between gender and Allergic Rhinitis16.
The same study in Tehran and another study
in Finland17 also found that environmental
and social factors are important risk factors
in the incidence of Allergic Rhinitis16.
On the contrary this relationship in our study
was not statistically significant, (Table 5).
This difference in prevalence, triggers and
risk factors for allergic rhinitis among different
countries has been demonstrated repeatedly in
the epidemiological studies.
The international study of asthma and allergies
in childhood (ISAAC)18 steering committee,
which conducted a study to investigate worldwide
prevalence of asthma, allergic rhino conjunctivitis,
and atopic eczema was a very obvious example.
The multifactorial factors and the presence
of several types of allergic rhinitis are possible
explanations.
Palestine, as a country in transition shifting
from a traditional to a modern society, has
several unique features that put the population
at risk of developing allergic conditions.
This is the first study to determine the prevalence
of allergic rhinitis and its risk factors among
young adults in Palestine. Our results show
relatively lower allergic rhinitis prevalence
in Palestine compared to some neighbouring countries,
but were consistent with studies done in Turkey.
The results also show a statistically significant
relationship between allergic rhinitis and weight
loss, deep sleep, chronic respiratory infections,
nasal polyps, anxiety, sleep apnea, and migraines
but neither gender nor residence and environmental
factors have a statistically significant relationship
with Allergic Rhinitis.
- Lundback B. Epidemiology of rhinitis and
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|