Prevalence
and determinants of depression among primary health
care attendees in Qatar 2008
.........................................................................................................................
Samya Flamerzi,
Consultant Family Physician
- PHC - Qatar
Nada Al-Emadi,
Specialist Family Physician
- PHC -Qatar
Mohamed Ghaith Al- Kuwari
Consultant Community Medicine
- PHC -Qatar
Issa Mousa Ghanim,
Specialist Family Physician
- PHC -Qatar
Abdelmajeed Ahmad,
Consultant Family Physcian-
PHC -Qatar
Correspondence:
Dr. Samya Flamerzi
Primary Health Care Department
P O Box 3050
Doha -Qatar
|
ABSTRACT
Objectives:
This study aims at estimating the prevalence
of depressive disorders and to identify
the associated determinants in primary
health care settings in Qatar.
Methodology: A cross-sectional
study was conducted and 322 patients attending
four primary health care centers were
selected by using a systematic random
technique, by taking every tenth patient
according to their order of attendance
at the reception desk. A Patient Health
Questionnaire 9 (PHQ-9) has been administered
as a screening tool for depressive disorders.
Results: Of
the 306 respondents, 42.8% were males,
33.3% were Qatari, and 93% of the respondents
were of age group 18-54 years. Half of
the participants had university degree
and 71% were employees. The prevalence
rate of significant depression among the
sample size was 27.8 % (a total of 85
individuals out of 306) had clinically
significant depressive symptoms (PHQ-9
score of 10 or higher), while 24.8% had
only minimal depressive symptoms. The
highest percentage was among the young
age group 18-34 years (34.2%); unmarried
individuals were more prone to depression
53.0%.
There was no significant relationship
between depression and chronic diseases.
There was a significant relationship between
depressive illness and marital problems,
as well as work conflict, smoking, and
alcohol drinking.
Conclusion:
Depressive disorders are a highly prevalent
condition among attendees of primary health
care centers in Qatar, with different
socio-demographic factors affecting the
prevalence of depressive disorders. It
is recommended that primary health care
physicians should be adequately trained
to recognize and manage this disorder
to reduce the cost and complications of
undiagnosed depression.
Key words:
prevalence, determinants, depression,
primary health care
|
Depression is a major public
global health problem and a leading predictor
of functional disability and mortality.(1) It
is ranked fourth among the ten leading causes
of the total worldwide disease burden, measured
in Disability Adjusted Life Years (DALY). The
WHO predicted that by the year 2020 depression
would be the second most important cause of
disability after ischemic heart disease worldwide,
accounting for 5.7% of the total DALY, compared
to 2.6% for HIV. Furthermore, depression is
expected to become the number one cause of disease
burden among females in developing countries.
In addition to being a major factor in disability,
depression increases the risk of suicide and
mortality.(1-3) It is estimated that 60% of
all suicides are attributable to depression.
(3-4)
According to the U.S. Preventive Services
estimate Task Force (USPSTF), the prevalence
of major depression in the primary care setting,
ranges from 5 to 9% among adults, and up to
50% of depressed patients are not recognized.
Other disabling depressive illnesses include
dysthymia (a chronic low-grade depression) and
minor depression (an episodic, less severe illness).
These two illnesses are as common as major depression
in primary care settings. (5)
While guidelines encourage PHC physicians to
diagnose and treat their depressed patients,
rates of detection and treatment in PHC are
still sub-optimal.(1) A review of published
studies suggests that PHC physicians fail to
detect depression, which remains undiagnosed
in one third to one half of cases.(6)
Recognizing depression in patients in the primary
care setting may be particularly challenging
because patients, especially men, rarely spontaneously
describe emotional difficulties. On the contrary,
patients with depression who present to a primary
care physician often describe somatic symptoms
such as fatigue, sleep problems, pain, loss
of interest in sexual activity, or multiple,
persistent vague symptoms.(6)
Brief, self-administered questionnaires have
been recommended to be used in depression case-finding
and follow-up in the primary care setting. The
Patient Health Questionnaire (PHQ-9) has become
one of the most frequently used self-reporting
depression scales, because of its diagnostic
validity, brevity, and ease of scoring, of the
9-item depression module form. (7) The Arabic
version of PHQ has been validated and tested
in primary care settings in Arab countries.(8)
As we do not know the prevalence of depression
based on population based survey, this study
was designed to estimate the prevalence of depression
among people who attend primary health centers
in Qatar, to evaluate the severity of depressive
symptoms and to identify determinants of depression.
This cross-sectional study
was approved by medical research committee at
Hamad Medical Corporation. It was conducted
during the period of August-September 2008 in
four randomly selected primary health care centers,
- two rural and two urban health centers. A
total of 320 adult subjects were selected by
using systematic random techniques by taking
every tenth patient according to their order
of attendance at the reception desk. Verbal
consent was obtained from each participant who
completed the questionnaire, supervised by an
experienced nurse to assist the patients.
Both Arabic and English versions of the Questionnaire
were used to collect socio-demographic data,
which included questions about the socio-demographic
characters such as age, gender, nationality,
marital status, number of children if any, housing,
income, occupation, education level, period
of stay in Qatar, chronic diseases such as diabetes,
hypertension, coronary artery diseases, others.
For screening for depressive symptoms, the
Patient Health Questionnaire (PHQ-9) which is
a validated screening tool to diagnose depression
was used. It consists of nine questions based
on the nine DSM-IV criteria for diagnosis of
depression (Depressive syndromes are defined
in DSM-IV, manifest with at least five of the
following nine symptoms: depressed mood, change
in psychomotor activity, loss of interest/pleasure,
loss of energy, change in sleep, trouble concentrating,
change in appetite or weight, thoughts of worthlessness
or guilt, thoughts about death or suicide).
Each of the questions asks patients to select
the frequency of the depressive symptoms that
they experienced in the two weeks before the
survey's administration. Scores for each item
range from 0 which means no symptoms at all
to 3 (depressive symptoms nearly every day).
The final score was calculated, with scores
between 10 and 14 indicative of a moderate level
of depressive symptoms, scores between 15 and
19 indicate moderately severe major depression,
and scores 20 and above indicate severe major
depression. Scores were calculated according
to Table 1.
PHQ-9
symptoms
recommendations |
PHQ-9
score |
Provisional
diagnosis |
| 1
to 4 symptoms, functional impairment |
<10
|
Mild
or minimal depressive symptoms |
| 2
to 4 symptoms, positive answer on Question
a or b, functional impairment |
10-14
|
Moderate
depressive symptoms (minor depression) |
| 5
or more symptoms, positive answer on Question
a or b, functional impairment |
15-19
|
Moderately
severe major depression |
| 5
or more symptoms, positive answer on Question
a or b, functional impairment |
>20
|
Severe
major depression |
Table (1):-Diagnostic categories for depression
according to the nine-item patient health questionnaire
(PHQ-9) and treatment recommendations
Moderate depressive symptoms, moderately severe
major depression and sever major depression
were considered to be significant depression.
Analysis was carried out addressing the PHQ-9
outcome measures. All the information gathered
was received before data entry by manual revision
of the data. A Master sheet was prepared from
the collected data.
Data was coded and entered into the statistical
package of social sciences (SPSS) - 12 which
was used for the analysis of the results. Frequency
measures and bivariate statistical analysis
such as chi square test, and Fischer exact test
were performed. Level of significance selected
for this study was (0.05), a confidence level
of 95%.
Out of 320 patients selected, 306 have responded
to questionnaires making the response rate of
95.6%. Table 2 shows that 175 (57.2%) were females,
102 (33.4%) participants were Qatari. In terms
of age group, 152 (49.7%) participants were
18 years - 34 years, and 134 (43.8 %) were between
35 - 54 years, where 20 (6.5%) individuals were
above 55 years. Married participants form 63.7%
of the sample, singles account for 28.1%, while
divorced widowed were 4.6% and 3.6% respectively.
| Variable |
N
(%) |
Nationality
Qatari
Non Qatari
Gender
Male
Female
Age
18- 34 years
35- 54 years
> 55 years
Education
Primary
Preparatory
Secondary
University and above
Occupation
Employee
Non employee
Housewife
Student
Retired
Income
1500-3000 QR
3000- 7500 QR
7500-10000QR
>10000QR
Marital
status
Single
Married
Divorced
Widow
No
of children
<3
4-7
>7
House
Room
Flat
Villa
Others
Period
of stay in Qatar
Since birth
1-5 years
5-10 years
>10 year
|
102 (33.3%)
204 (66.7%)
131 (42.8%)
175 (57.2%)
152 (49.7%)
134 (43.8%)
20 (6.5%)
29 (9.5%)
30 (9.8%)
98 (32.0%)
149 (48.7%)
220 (71.9%)
11 (3.6%)
49 (16.0%)
14 (4.6%)
9 (2.9%)
47 (15.4%)
107 (35.0%)
49 (16.0%)
60 (19.6%)
86 (28.1%)
195 (63.7%)
14 (4.6%)
11 (3.6%)
117 (38.2%)
61 (19.9%)
16 (5.2%)
48 (15.7%)
98 (32.0%)
116 (37.9%)
44 (14.4%)
136 (44.4%)
62 (20.3%)
37 (12.1%)
69 (22.5%)
|
Table (2) distribution
of the socio demographic characteristics of
the studied group (n=306)
Regarding the level of education 149 (48.7%)
had university degree or above, while 98 (32.0
%) had secondary degree, only 29 (9.5%) had
primary school education, 30 (9.8%) had preparatory
level. About 72.6% of the participates were
employees, 3.6% were unemployed, house wives
account for 16.2% of sample, while students
and retired were 4.6% and 3.0 % respectively.
Regarding period of living in Qatar, 44.7%
of the subjects were born in Qatar, 20.4% staying
in Qatar from 1 - 5 years, 12.2% stayed from
5 - 10 years, and 22.7% stayed more than 10
years in Qatar.
In terms of presence of other chronic diseases
such as diabetes mellitus, hypertension, coronary
artery disease and bronchial asthma, 126 (41.2%)
of respondents had one or more chronic diseases
only 18 (5.9%) individuals had previous psychiatric
illnesses (anxiety and or depression). In terms
of unhealthy lifestyle among the participants,
16.3% use tobacco 2.6% use alcohol.
In the social context, 242 (79.3%) of the respondents
of the screened participants were living away
from their families. And in terms of presence
of conflict, 63 (20.6%) of individuals were
found to have marital conflicts, while work
conflicts present in 18.6% of our sample.
Of the 306 participants we found that 85 (27.8%)
screened positive for clinically significant
depressive symptoms (PHQ-9 score of 10 or higher),
while 24.8% had minimal depressive symptoms
(PHQ-9 score less than 10) as shown in Figure
-1. Of those who have significant symptoms 47
(15.4%) had PHQ-9 scores between 10 and 14 (moderate
depressive symptoms), 28 (9.2%) had PHQ-9 scores
between 15 and 19 (moderately severe major depression)
and 10(3.3%) had PHQ-9 scores of 20 and above
(severe major depression).

Figure (1) percentage of level of depressive
symptoms according to PHQ-9 scores.
| Variable |
N
% |
Any chronic
disease
Diabetes
Mellitus
Hypertension
Coronary
Heart Diseases
Bronchial
Asthma
Others
Previous
psychiatric history
Living
away from family
Marital
problems
Work
conflict
Smoking
Alcohol
drinking
|
26 (41.2%)
57
(18.6%)
53
(17.3%)
6
(2.0%)
22
(7.2%)
19
(6.2%)
18
(5.9%)
242(79.1%)
63
(20.6%)
57
(18.6%)
50
(16.3%)
8
(2.6%)
|
Table (3) The distribution of risk factors
of depression disorders in the study
The influence of socio-demographic characteristics
on the prevalence of depressive disorders is
shown in Table 3. The highest frequency of depression
was among young age group (18-34) which accounts
for 61.2%, followed by the (35-54) age group
(32.9%), and the least was old age group >
55 years 5.9%. Persons with secondary, university
and above studies had the higher frequency of
depression 41.2%, and 33.0% respectively (P=0.029),
while persons with primary education level had
less frequency (9.4%).
| Variable |
No
Dep. N % |
Mild
symptoms N % |
Significant
Dep. N % |
P
value |
Nationality
Qatari
Non Qatari |
41 (28.3%)
104 (71.7%) |
29 (38.7%)
46 (61.3%) |
32 (37.6%)
53 (62.4%) |
0.189 |
Gender
Male
Female |
71 (49.0%)
74 (51.0%) |
28 (36.8%)
48 (63.2%) |
32 (37.6%)
53 (62.4%) |
0.118
|
Age
18- 34 years
35- 54 years
> 55 years |
58 (40.0%)
76 (52.4%)
11 (6.9%) |
42 (55.3%)
30 (39.5%)
4 (5.2%) |
52 (61.2%)
28 (32.9%)
5 (5.9%) |
*0.032
|
Education
Primary
Preparatory
Secondary
University & above |
16 (11.0%)
12 (8.3%)
42 (29.0%)
75 (51.8%) |
5 (6.5%)
4 (5.3%)
21 (27.6%)
46 (60.5%) |
8 (9.4%)
14 (16.5%)
35 (41.2%)
28 (33.0%) |
*
0.029 |
Occupation
Employee
Non employee
Housewife
Student
Retired
|
104 (72.7%)
2 (1.4%)
27 (18.9%)
6 (4.2%)
4 (2.8%)
|
54 (72.0%)
4 (5.3%)
9 (12.0%)
5 (6.7%)
3 (4.0%)
|
62 (72.9%)
5 (5.9%)
13 (15.3%)
3 (3.5%)
2 (2.4%)
|
0.581 |
Income
1500-3000 QR
3000- 7500 QR
7500-10000QR
>10000QR |
21
(17.1%)
45 (36.6%)
23 (18.7%)
34(27.6%) |
10 (15.6%)
27 (42.2%)
13 (20.3%)
14 (21.9%)
|
16
(21.1%)
35 (46.1%)
13 (17.1%)
12 (15.8%) |
0.563 |
Marital
status
Single
Married
Divorced
Widow |
25 (17.2%)
108 (74.5%)
7 (4.8%)
5 (3.4%) |
27
(35.5%)
47 (61.8%)
1 (1.3%)
1 (1.3%) |
34
(40.0%)
40 (47.1%)
6 (7.1%)
5 (5.9% |
*0.001 |
No
of children
<3
4-7
>7 |
66
(60.6%)
34 (31.2%)
9 (8.3%) |
29
(69.0%)
10 (23.8%)
3 (7.1%) |
22
(51.2%)
17 (39.5%)
4 (9.3%) |
0.570
|
Period
of stay in Qatar
Since birth
1-5 years
5-10 years
>10 years
|
47
(32.6%)
29 (20.1%)
21 (13.6%)
47 (32.6%) |
39
(51.3%)
19 (25.0%)
6 (7.9%)
12 (15.8%) |
50
(59.5%)
14 (16.7%)
10 (11.9%)
10 (11.9%) |
*
0.000 |
Table (4) the distribution of depression
cases according to the demographic variables.
Table-4 shows unmarried subjects (singles,
divorced and widowed) were more prone to have
clinically significant depression (53.0%). Persons
who were living in Qatar since birth had the
highest frequency of depression (59.5%) while
those who stayed >10 years had the lowest
frequency 11.9%.
For other demographics such as nationality,
gender, occupation, income and number of children,
they were not significant.
Although there was a strong relationship with
previous history of psychiatric illnesses e.g.
anxiety and or depression (P=0.00), as shown
in Table-5, there was no significant relationship
between chronic disease and depression.
We found a statistically significant relationship
between marital problems, work conflict, smoking,
alcohol drinking and presence of significant
depressive symptoms (P=0.05).
A number of earlier studies have shown
that primary health care physicians often
under diagnose depressive disorders and
lack the needed skills for recognizing,
responding, diagnosing and treating depression
disorders.(10,11,12) This is understandable
since primary health care physicians are
confronting an array of complex problems,
and depressed patients often see their doctors
for a reason other than depression in the
PHC setting.
The overall prevalence of significant depressive
disorder in our study was (27.8%) which
is similar to the prevalence reported in
Saudi Arabia (28.5%)(13), and lower than
the prevalence in Kuwait (37.1%).(14) Our
study has shown that only 3.3 % of our patients
were found to have severe depression, which
is consistent with other studies. (15-17)
Also it was supported by a study conducted
by Chen et al which showed that 4.1% of
Chinese- American primary care patients
had moderate to severe levels of depression.
(12)
In the present study, a variety of socio-demographic
and medical factors have been considered
in an attempt to explain the highest rate
of depression disorders.
Regarding the age we found that young age
group was more prone to have depressive
disorders than the older one; this result
comes in support of current literature stating
that depression is common among children
and young adults, but is unrecognized. (15)
On the other hand these results were comparable
with a study which was conducted in UAE(19),
and studies from the USA which showed that
life time prevalence of major depression
in adolescents and young adults (15-24 years)
in the US general population has been reported
around 20.6% for females and 10.5% for males.
Rutter et al suggest a variety of explanations
for increasing prevalence of depression
at adolescence age and that increasing level
may be genetically determined and these
genes triggered at late child hood or adolescence.
(20) Family history of depression and school
performance are other contributing factors.
(20,21)
The association between level of education
and depression shows that secondary, university
and above studies had the higher frequency
of depression, which was consistent with
the Kuwaiti study. (14) There is no definite
explanation for this result but we suggest
that highly educated people may be frustrated
about their high expectations and perceptions
about society which at times may not be
achievable.
However this finding wasn't concluded in
some other studies, in which patients with
lower educational levels, namely illiterate,
were more likely to have clinically significant
depressive symptoms.(22,23)
This finding is consistent with our findings
that indicated high prevalence of depression
among the young group. Also it is more prevalent
in unmarried individuals (singles, widowed
and divorced) which was consistent with
other studies.(22,23) Social isolation,
feeling of loneliness with no close interpersonal
relationships and the absence of support
at time of crises, all contributes to explanation
of our findings.
Although previous studies have shown depressive
symptoms were greater among individuals
with 3 or more children,(11,14) the present
study showed that the number of children
did not affect the frequency of depressive
disorders.
The current study cannot find a significant
relation between different chronic conditions
such as diabetes, hypertension, coronary
artery disease, or bronchial asthma and
depressive disorders. However several studies
have shown that there is increase in depression
prevalence among individuals living with
such chronic diseases. (6,24-26) On the
other hand the positive previous history
other psychiatric illness was highly associated
depressive symptoms. This finding was supported
by a study conducted in Saudi Arabia where
it was found that persons with history of
other psychiatric illness were 7.5 times
more likely to have depression than those
without history of psychiatric illness.
(21)
Regarding the influence of social problems
on the rate of depression, our findings
suggest that a patient's negative life events
and social problems, or dysfunctional marital
relationship may indicate a high risk for
depression. This finding was supported by
results from other studies. (27) Also our
study showed that unhealthy lifestyle such
as smoking and drinking alcohol were significantly
associated with high prevalence of depression.
There is already evidence that both smoking
and alcohol consumption are considered as
risk factors for depression. (28,29)
In conclusion, depressive disorders are
a highly prevalent condition among attendees
of primary health care centers in Qatar,
with different socio-demographic factors
affecting the prevalence of depressive disorders
as age, level of education, marital status,
social and work conflicts as well as smoking
and alcohol drinking. Undetected psychiatric
morbidity is a serious health problem at
PHC level, often leading to a waste of resources.
More work is needed to improve the psychiatric
knowledge and skills of primary care physicians
to identify undetected psychiatric morbidity
among their patients. Both training for
physicians and increase the public awareness
regarding mental health are crucial to detect
and manage depression.
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