JOURNAL
Current Issue
Journal Archive
...........................................
March 2010 - Volume 8, Issue 2
Download print-friendly version
........................................................
From the Editor
........................................................
Original Contributon and Clinical Investigation

<-- Qatar-->
Prevalence and determinants of depression among primary health care attendees in Qatar 2008
Samya Flamerzi, Nada Al-Emadi, Mohamed Ghaith Al- Kuwari, Issa Mousa Ghanim,
Abdelmajeed Ahmad

<-- India-->
Low Immunization among Children in Slums in Mumbai
Dr. V. M. Sarode
 
 
 

 

 

<--Turkey -->
Risk reduction in patients: Can primary and secondary prevention affect the coronary risk groups?
Serpil Aydin Demira, Ayfer Gemalmaz, Sule Ozkan, Tufan Nayi

<-- Saudi Arabia-->
Situational analysis of Family Physician utilization of drugs and laboratory investigations at a hospital based primary care clinic, Riyadh, Saudi Arabia
Dr Yousef Abdulah Al Turki

........................................................
Review articles
<-- Saudi Arabia-->
Hypoglycemia unawareness
Dr.Almoutaz Alkhier Ahmed
........................................................
International health Affairs
<-- Nigeria -->
Awareness of sickle cell disease among youth corpers in Owo, South-West Nigeria
Omolase C.O., Agborubere D.E., Omolase B.O.
........................................................
Education and Training
<-- Nigeria -->
Skin preparation before an injection: Knowledge, attitude and practices among physicians, nurses and patients
Rajab Ali Khawaja
 
 
........................................................

Chief Editor -
Abdulrazak Abyad MD, MPH, MBA, AGSF, AFCHSE

.........................................................

Publisher -
Lesley Pocock
medi+WORLD International
572 Burwood Road,
Hawthorn 3122
AUSTRALIA
Phone: +61 (3) 9819 1224
Fax: +61 (3) 9819 3269
Email
: lesleypocock@mediworld.com.au
.........................................................

Editorial Enquiries -
abyad@cyberia.net.lb
.........................................................

Advertising Enquiries -
lesleypocock@mediworld.com.au
.........................................................

While all efforts have been made to ensure the accuracy of the information in this journal, opinions expressed are those of the authors and do not necessarily reflect the views of The Publishers, Editor or the Editorial Board. The publishers, Editor and Editorial Board cannot be held responsible for errors or any consequences arising from the use of information contained in this journal; or the views and opinions expressed. Publication of any advertisements does not constitute any endorsement by the Publishers and Editors of the product advertised.

The contents of this journal are copyright. Apart from any fair dealing for purposes of private study, research, criticism or review, as permitted under the Australian Copyright Act, no part of this program may be reproduced without the permission of the publisher.

March 2010- Volume 8, Issue 2
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


INTRODUCTION

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.

METHODS

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%.

RESULTS


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).

DISCUSSION

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.

REFERENCES

1. Ustun T B. Global burden of depressive disorders in the year 2000. The British Journal of Psychiatry .2004, 184: 386-392.
2. Murray CJL, Lopez AD. The global burden of disease and injury series, volume 1: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020. Cambridge, MA: Harvard School of Public Health on behalf of the World Health Organization and the World Bank, Harvard University Press, 1996.
3. The WHO World Mental Health Survey Consortium: Prevalence, Severity, and Unmet Need for Treatment of Mental Disorders in the World Health Organization World Mental Health Surveys. JAMA. 2004; 291:2581-2590.
4. Williams JW, Noel PH, Cordes JA, et al: Is this patient clinically depressed? JAMA 2002; 287:1160-1170.
5. U.S. Preventive Services Task Force (USPTF). U.S. Preventive Services Task Force: Screening for depression: recommendations and rationale. Ann Intern Med 2002; 136:760-764.
6. Sharp LK, Lipsky MS. Screening for Depression Across the Lifespan: A Review of Measures for Use in Primary Care Settings. American Family Physician 2002;66:1001-8.
7. Katon WJ, Unützer J, Simon G: Treatment of depression in primary care: where we are, where we can go. Med Care 2004; 42:1153-1157
8. Becker S, Al Zaid K, Al Faris E: Screening for somatization and depression in Saudi Arabia: a validation study of the PHQ in primary care. Int J Psychiatry Med 2002; 32:271-283
9. Robert D. Kirkcaldy, and L. Lee Tynes, Best Practices: Depression Screening in a VA Primary Care Clinic. Psychiatric Serve. 2006; 57:1694-6..
10. Arroll B, Khin N, Kerse N. Screening for depression in primary care with two verbally asked questions: cross sectional study. BMJ 2003; (15 November)327:1144-6.
11. Sharp LK, Lipsky MS. Screening for Depression A cross the Lifespan: A Review of Measures for Use in Primary Care Settings. American Family Physician 2002;66:1001-8.
12. Chen TM, Huang WF, Chang, C. Chung H. Using the PHQ-9 for Depression Screening and Treatment Monitoring for Chinese Americans in Primary Care. Psychiatr Serv. 2006; July 57:976-81.
13. Moataz M Abdel Fattah. Prevalence, symptomatology and risk factors for depression among high school students in Saudi Arabia. Europe's J of psychology 2006(August 13)
14. Al-Otaibi B, Al-Weqayyan A, Taher A, Sarkhou E , Gloom A, Aseeri F E. Al-Mousa, et al. Depressive Symptoms among Kuwaiti Population Attending Primary Health Care Setting: Prevalence and Influence of Socio demographic Factors. Med Princ Pract 2007;16:384-8.
15. Arroll B, Goodyear-Smith F, Kerse N, Fishman T, Gunn J. Effect of the addition of a "help" question to two screening questions on specificity for diagnosis of depression in general practice: diagnostic validity study. BMJ 2005;331;884-7.
16. Gabarron HE, Vidal RJM, Haro AJM, Boix SI, Arenas PM: prevalence and detection of depressive disorders in primary care. Aften primaria 2002, 29:329-336.
17. Gill MJ, DanskyBS: use of electronic medical records to facilitate screening for depression in primary care. Primary care companies. Jclin Psychiatry 2003; 5: 125-129.
18. Zung WW, Broadhead WE, Roth ME: Prevalenceof depressive symptoms in primary care. J Fam Praet 1993; 37: 337-344.
19. El- Rufaie O, Absood GH. Minor psychiatric morbidity in primary health care, prevalence, nature and severity. International Journal of Social Psychiatry. 1993;39 : 159-166.
20. Weissman MM, Bland RC, Canino GJ, et al. Cross national epidemiology of major depression and bipolar disorders. JAMA. 1996; (276): 293-299.
21. Moataz M Abdel Fattah. Prevalence, symptomatology and risk factors for depression among high school students in Saudi Arabia. Europe's J of psychology 2006(August 13).
22. Bertakis KD,Helms LJ, Callahan LJ, Robbins JA: patient gender differences in the diagnosis of depression in primary care. J women health Gend based med. 2001; 10: 689-90.
23. Leung KK, Lue BH, Lee MB, Tang LY: Screening of depression in patients with chronic medical disease in a primary care setting. J. Family practice. 1998; 15: 67-75.
24. Teddy M. Chen, W., Frederick Y. Huang, Christine Chang,. and Henry Chung,. Using the PHQ-9 for Depression Screening and Treatment Monitoring for Chinese Americans in Primary Care. Psychiatr Serv 57:976-981, July 2006.
25. Löwe B, Schenkel I, Carney-Doebbeling C, et al: Responsiveness of the PHQ-9 to psychopharmacological depression treatment. Psychosomatics 2006; 47:62-67.
26. Anderson RJ, Freedland DK, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes. Diabetes Care, 2001; 24: 1069-78.
27. Berg AO. US preventive Services Task Force: screening for depression: recommendations and rational. Am Fam physician 2002; 66: 647.
28. Hamalainen J, Kaprio J, Isometsa E, Heikkinen M, Poikolainen K, Lindeman S, Aro H. Cigarette smoking, alcohol intoxication and major depressive episode in a representative population sample. J Epidemiol Community Health 2001; 55: 573-6.
29. Klungsoyr O, Nygard JF, Sorensen T, Sandanger I. Cigarette smoking and incidence of first depressive episode: an 11-year, population-based follow-up study. Am J Epidemiol 2006; 163: 421 -32.

.................................................................................................................
 

I About MEJFM I Journal I Advertising I Author Info I Editorial Board I Resources I Contact us I Journal Archive I MEPRCN I Noticeboard I News and Updates
Disclaimer - ISSN 148-4196 - © Copyright 2007 medi+WORLD International Pty. Ltd. - All rights reserved