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Depression anxiety stress and demographic determinants of hypertension disease.

Byline: Mamoona Mushtaq and Najma Najam


Background and Objective: Research evidence supports the relationship of psychological and demographic factors with hypertension and these variables are strongest predictors of hypertension which are scarcely studied in Pakistan. The present study was carried out to explore the correlation of depression anxiety stress and demographic factors with hypertension.

Method: We used correlation research design and a sample of (N = 237) hypertensive patients (N = 137) and their age matched healthy controls (N = 100) was taken from hospitals. Depression Anxiety and Stress Scale (DASS) (Lovibond and Lovibond 1995) was used to assess depression anxiety and stress.

Results: Results indicated significant positive correlation between depression (2 = 104.18 p less than 0.001) anxiety (2 = 78.48 p less than 0.001) stress (2 = 110.95 p less than 0.001) and overall negative states (2 = 97.43 p less than 0.001) with hypertension. Depression (OR = 1.44 p less than 0.01) anxiety (OR = 1. 76 p less than 0.01) stress (OR = 1.37 p less than 0.01) job and dependents working hours and weight turned out as predictors of hypertension. Conclusion: Hypertension has significant positive relationship with depression anxiety stress and with demographic variables. The findings of the present study will contribute in the existing knowledge of health professionals to enhance public awareness regarding the harmful outcomes of depression anxiety and stress upon human health.

KEY WORDS: Anxiety Depression Stress.


Escalating health problems in the world necessitate health professionals and researchers to investigate the factors responsible for the development of different diseases in human beings and one of them includes hypertension. Pervasive increase of hypertension among different nations is a serious issue these days. There were 26% hypertensive adults in America in 2000.1 About one billion people are suffering from hypertension globally and the prevalence rate will increase up to 1.56 billion by 2025.2 It is reported that consistent high blood pressure is damaging the health of almost 25% of youngsters of both sexes.3 The alarming point is that more than 50% hypertensive patients do not even know that they are suffering from it.4

In Pakistan the prevalence of hypertension is 34% in men and 24% in women.5 Hypertension is frequently prevalent in men after 35 years of age than women of that age. Additionally there are an estimated 12 million hypertensive patients in Pakistan.6 Furthermore in Rawalpindi Division about 24.3% of the population over the age of 18 years and overall 36% of population is reported to have high blood pressure. Whereas reported 15% over the age of 18 years and 36% over the age of 45 years have the diagnosis of hypertension.6 Thus it appears to be rapidly increasing neither treated nor controlled. Hence it is emerging as a major health menace in the public health sector.7

Biological social and psychological factors are often considered as significant risks of hypertension. Psychological state of an individual greatly affects the physical condition of human body. Empirical evidence reports high incidence of depression anxiety and stress among patients with hypertension.8 Depression is widespread in hypertensive patients and relationship of depression with hypertension has been established by earlier researchers.9 In a study individuals reporting high levels of hopelessness at baseline were found to be 3 times more likely to become hypertensive in near future.10 The research evidence also suggests that anxiety is another significant cause of increased blood pressure and is independent predictor of future hypertension.1112

Stress has been considered an important factor in the etiology of hypertension. Stress is known to be significantly correlated with hypertension and causes many cardiac problems.13 Natural reaction of the cardiovascular response to stress is the increase in heart rate. Young adults who have greater blood pressure response to stress may be at risk for hypertension as they are grown up.14

The role of demographic variables is vital in leading to hypertension. Marked social disparities in individual's health exist across all nations of the world. Whether the indicator of socioeconomic status is education income or occupational status people belonging to low SES are at a greater risk of inducing sickness and easily become victims of disability or premature death than people belonging to high SES.15 Higher education affects health promoting behavior and resultantly causes lowering prevalence of overweight which is an established risk factor of hypertension.15 Another important contributing variable to hypertension is overweight and obesity.1617 Long and strenuous working hours which is the part and parcel of private job culture is a significant risk factor of hypertension.18 Therefore the role of social variables need to be understood.14

In the present study it was predicted that those who experience high level of depression anxiety and stress and with circumstantial difficulties consequently suffer from hypertension. In other words are these factors correlated with hypertension

Although the field of psychological risk factors of hypertension is not a new subject still very few scientific studies have been carried out in developing countries especially in South Asia. Regardless of its significance psychological aspects of hypertension have always been overlooked by researchers and physicians. Few researches conducted in this area are based upon the data drawn from lower masses only.17Growing literature on hypertension reports that hypertension control in Pakistan is partially achieved.7Therefore the research was planned to explore the relationship of hypertension with depression anxiety stress and demographic factors among hypertensive patients.


1. Depression anxiety and stress would be positively correlated with hypertension among hypertensive patients.

2. Depression anxiety stress and other social variables would be significant predictors of hypertension.

3. There would be difference on depression anxiety and stress between hypertensive men and women.


Participants and procedure: We used co relational research design for this research. A sample of 237 participants hypertensive men (n = 77) women (n = 60) non-hypertensive men (n = 50) and women (n = 50) was taken from outdoor departments of 2 public hospitals using a purposive sampling technique.

Inclusion criteria: Inclusion criteria for hypertensive patients was (a) those patients who had currently been taking antihypertensive medicines (b) participants who were able to read and write Urdu language.

Exclusion criteria: Patients suffering from chronic or terminal illness including (a) coronary heart disease (b) liver disease (c) renal disease (d) diabetes (e) malignant disease like cancer.

Non-hypertensive group: They were matched to every case of hypertension for age (up to 3 years older and younger) gender monthly income and working hours. Non-hypertensive group was taken from the hospital and they were the visitors or non-blood relatives of the cases diagnosed with hypertension (b) participants with no past current or family history of hypertension were included in the sample.

Sample characteristics: The age range of the study participants was from 30 to 65 years (M = 43; SD =

Table-I: Demographic characteristic of the research participants (N = 237).

###Demographic variables###Hypertensives (n = 137)###Controls (n =100 )




###Occupation###No job###50###36###42 42

###Office job###62###45###36 36



###Family history of hypertension###No###7###5###94 94


###Spouse job###No###88###64###53 53


8.24). The range of their number of dependents was from 0 to 11. Their weight ranged from 63 to 98 kg (M = 73; SD = 8.02) and working hours from 4 to 16 hours (M = 8.80; SD = 4.08).

Official permission was obtained from hospital authorities for data collection from hypertensive patients and healthy controls who were visiting the hospital. Before administration of questionnaires participants were briefed about the purpose of study. A consent form demographic information form and DASS were independently administered to all research participants.


1. Demographic information questionnaire: Participants completed a comprehensive demographic information questionnaire which was prepared by the researchers regarding the age marital status education occupation monthly income weight number of children and dependents family history of hypertension spouse's job and working hours of the research participants.

2. Depression Anxiety and Stress Scale by Lovibond and Lovibond (1995):19 DASS is an internationally standardized protocol. It is a self report instrument designed to measure 3 relatively negative states of depression anxiety and stress of an individual. It consists of 42 items. Each item has four optional responses which are scored on Likert scale from 0 (did not apply to me at all) to 3 (applied to me very much). Cronbach's a = 0.91 for depression scale 0.84 for anxiety scale and 0.90 for stress scale are reported by authors.19 In the present study standardized Urdu translation of DASS by Potangaroa (2006) was used.20


Relationship of depression anxiety and stress with hypertension: Mentle Haenzel Chi-square test of linear association was applied for exploring relationship of depression anxiety and stress with hypertension. If the exposure variable is ordinal the ordinary chi-square test does not take into account the inherent order among the categories. It hardly checks the overall departure of observed from expected across the r A-2 cells of the table. A test of linear association (Pearson Chi-square) between columns and rows will be statistically insufficient because it fails to distinguish between one and two category differences.21 In the present research each dimension of depression anxiety and stress were categorized in to 3 levels like high medium and low but the levels are not given in the table because in all cases high" was significantly related with hypertension.

The results in the Table-II show that there is significant correlation of hypertension with depression anxiety stress and (DASS) ( p less than 0.001). The reliability coefficients indicate that the scales were reliable for the present sample.

Effect of depression anxiety and stress on hypertension: Binary logistic regression model

Table-II: Relationship between depression anxiety stress and hypertension (N = 237)

Variable###M###SD###2MH (df = 1)


Anxiety 20.6213.940.84###78.48



Table-III: Depression anxiety and stress independently associated with hypertension in hypertensive cases and controls (N = 237).


Constant -13.454.90

Depression 0.36 0.131.10 1.44###1.88

Anxiety###0.56 0.241.09 1.76###2.85

Stress###0.31 0.151.01 1.37###1.85

DASS###0.75 0.211.45 1.85###3.05

was run to find depression anxiety and stress as predictors of hypertension.

Analysis of coefficients: The odds ratio given in Table-III for depression is 1.44 and coefficient is positive. The value of the coefficient (0.36) reveals that an increase of one unit scale in depression is associated with increase in the odds of hypertension development by a factor of 1.44 (95% CI 1.10-1.88 p less than 0.01). The odds ratio for anxiety is 1.76 and B = 0.56. The coefficient is positive and the odds ratio is 1.76 therefore as the anxiety increases by one scale unit chances of hypertension in a person is increased 1.76 times. The OR for stress is 1.37 and coefficient is positive. The value of the coefficient (.45) reveals that an increase of one unit scale in stress is associated with increase in the odds of hypertension development by a factor of 1.37 (95% CI 1.01-1.85 p less than 0.001). Finally the value of combine effect of depression anxiety and stress (DASS) come out as predictor of hypertension (95 % CI 1.45-3.05 p less than 0.001).

The prediction value of R2 = 55.51 indicates that model is adequately fit and psychological correlates are contributing 55.51% in the hypertension development.

Effect of social variables on hypertension: Logistic regression analysis was run to examine social variables as predictors of hypertension.

Analysis of coefficients: The value of R2 = 62.43 shows that model is adequately fit and social variables are contributing 62.43% in the hypertension.

The odds ratio for office job is 1.14 and B = 0.31 and the coefficient is positive therefore as office job increases by one scale unit chances of hypertension is increased 1.14 times. Protective effect of monthly income and spouse job is significant in hypertension.

The odds ratio for monthly income is 1.23 and B = -0.45. The coefficient is negative and odds ratio is 1.23 consequently as the income is increased by one scale unit chances of hypertension is decreased by a factor of 1.23 times. The odds ratio for spouse's job is 1.64 and B = -0.42 so as spouse job is increased by one scale unit chances of hypertension is decreased 1.64 times. The odds ratio for number of dependents is 1.42 and B = 0.34. The odds ratio is 1.42 each unit increase in the scores of number of dependents is associated with the odds of hypertension increase by a factor of 1.42 (95 % CL 0.74-1.85). Similarly weight and working hours turned out as significant predictors of hypertension (95 % CL 0.70-1.71 and 95 % CL 1.03-2.27) respectively.

Difference of variables was also investigated and significant differences were observed between hypertensive men and women on depression (M = 19.82 SD 4.65 and M = 43.53 SD = 10.58 p less than 0.001) anxiety (M = 33.27 SD = 11.92 and M = 19.40 SD = 6.58 p less than 0.001) and stress (M = 47.33 SD 8.53 and M = 24.50 SD = 6.52 p less than 0.001) respectively.


The present research was conducted to explore the relationship of hypertension with psychological correlates and to find the significant predictors of hypertension. Inclusion of the control variables ensured that relationship between psychological variables and hypertension did not owe to these variables. The results of the current study indicate that hypertension has significant positive

Table-IV: Demographic factors predicting hypertension (N = 237).




###Office job###0.31###0.17 0.91 1.14###1.72

###Monthly income###-0.45 0.18 1.74 1.23###1.97

###Spouse's job###-0.42 0.23 1.05 1.64###1.83

###Number of dependents###0.34###0.15 0.74 1.42###1.85

###Weight###0.28 0.12###0.701.10###1.71

###Working hours###0.40###0.17 1.03 1.56###2.27

relationship with depression anxiety stress and with demographic variables. Furthermore depression anxiety stress monthly income number of dependents spouse's job and working hours turned out to be significant predictors of hypertension.

The results reveal that there is significant relationship between depression and hypertension. This finding is in accordance with previous findings which concluded that depression is correlated with hypertension and also predicts hypertension.18 It is reported that the individuals experiencing high levels of hopelessness at baseline were 3 times more likely to become hypertensive in near future.10

However researchers also agree that depression and hypertension are reciprocally correlated depression leads to hypertension22 and hypertension raises the level of depression.12

Additionally as hypothesized relationship of hypertension with anxiety remained statistically significant and anxiety was observed a very serious disease which brings about harmful effects upon body.22 Enough research evidence supports anxiety as a single most cause of hypertension.23 It is also reported that participants developing hypertension at later stage have significant anxiety at the baseline stage as compared to the participants who remained non hypertensive.24 Thus it may be concluded that anxiety and depression are significant predictors of hypertension.10

Moreover stress has been considered a main cause in the etiology of hypertension.13 In a study the significant effect of laboratory stress was greater upon hypertensives as compare to nonhypertensive controls.13 Existing literature has reported the relationship of depression anxiety and stress with hypertension.25 Present findings are consistent with previous findings which convincingly demonstrate a positive correlation between psychological stress and hypertension.61315

Hypertension may rightly be called an emotional disease. If the individual combats with severe conflict or frustration uncertainty impatience or deprivation; the result is stress. The successive stressful events play havoc in hypertension.25

Furthermore job monthly income spouse's job number of dependents and weight turned out to be the significant social predictors of hypertension. A large number of hypertensive men appears to have workplace stress. Long working hours have emerged as a significant predictor of hypertension in the present research.18 In Pakistan traditionally the family expenditures and finances are born by the men.

Moreover number of dependents appeared as a significant predictor of hypertension. This explains that more the number of family members more the expenditures would be. In Pakistan when women work to add family resources they protect their counterparts from being hypertensive as revealed in the current research. In the present research weight appeared as a significant predictor of hypertension which is consistent with earlier researches in Pakistan.1617 Hypertensive patients are not in the habit of going to gyms to work out and seldom or never do cardio exercises.

Finally significant gender differences were also seen between hypertensive men and women on depression anxiety and stress. Thus the findings of current research establish the role of depression anxiety stress and social factors in developing hypertension.

Limitations: The present research was conducted with relatively small sample thus the need for further replication is indicated. Moreover we did not study the covariate factors such as BMI type of food and smoking. Thus limiting the findings of present research.

Implications: As reported by Jaffer Chaturvedi and Pappas (2006) high prevalence rate of hypertension is found among children in Karachi city.17 The findings of the current research can be highlighted through media and public health awareness programs to prevent the future generations from hypertension. The early identification of negative emotions in causing hypertension in America has yielded some promising results in treating it. The findings of this research have implications for promoting the understanding of psychological and demographic factors of hypertension in Pakistani population.


1. Schlomann P Schmitke J. Lay beliefs about hypertension: An interpretive synthesis of the quality research. J Am Acad Nurse Practitioners. 2007;19(7):358-367. doi:10.1111 /j.1745-7599.2007.00238.

2. Fahad SA Ahmad HA Akmal S. Hypertension in Pakistan: Time to take some serious action. Br J Gen Pract. 2010;60(576):536-541.

3. Hildingh C Baigi A. The association among hypertension and reduced psychological well-being anxiety and sleep disturbances: a population study. Scand J Caring Sci. 2010;24(2):366-371. doi:10.1111/j.1471-6712.2009.00730

4. Chockalingam A. World hypertension day and global awareness. Canadian J Cardiol. 2008;24(6):441-444. doi:10.1016/S0828-282X(08)70617-2

5. Safdar S Omair A Faisal U Hasan H. Prevalence of hypertension in a low income settlement of Karachi Pakistan. J Pak Med Assoc. 2010;54:506-512.

6. Nishter S. The cardiovascular disease situation in Pakistan. Heartfile Newsletter. 2002. Retrieved from http://www.

7. Shah SM Luby S Rahbar M Khan AW McCormick JB. Hypertension and its determinants among adults in high mountain villages of the Northern areas of Pakistan. J Human Hyperten. 2010;15(2):107-112.

8. Kaplan MS Nunes A. The psychosocial determinants of hypertension. Nutri Metab Cardiovas Dis. 2005;13(1):5259. doi:10.1016/S0939-4753(03)80168-0

9. Fabrice B Kate I Jean-Louis T Patrice N Francois B Philippe M. Depressive symptoms are associated with unhealthy lifestyles in hypertensive patients with the metabolic syndrome. J Hyperten. 2005;23(3):611-617.

10. Everson SA Kaplan GA Goldberg DE Salonen JT. Hypertension incidence is predicted by high levels of hopelessness in Finnish men. Hypertension. 2005;35:561567. doi:10.1161/01.HYP.35.2.561

11. Rutledge T Hogan BE. A quantitative review of prospective evidence linking psychological factors with hypertension development. Psychosom Med. 2002;64:758-766. doi:10.1097/01.PSY.0000031578.42041.1C

12. Jonas BS Frank P Ingram DD. Are symptoms of anxiety and depression risk factors for hypertension Longitudinal evidence from the national health and nutrition examination survey: I epidemiologic follow-up study. Arch Fam Med. 1997;6(1):43-49.

13. Markovitz H Matthws KA Kannel WB Cobb JL D'Agostino RB. Psychological predictors of hypertension in the Farmingham study: Is there tension in hypertension JAm Med Assoc. 1993;27(20):2439-2443. doi:10.1001/ jama.1993.03510200045030

14. Gerin W Davidson KW Nicholas Christenfeld JS Goyal T Schwartz JE. The role of angry rumination and distraction in blood pressure recovery from emotional arousal. Psychosom Med. 2006;68:64-72. doi:10.1097/01.psy.0000195747.12404

15. Lynch J Kaplan GA. Socioeconomic position. In Berkman LF and Kawachi I (Eds.) Social epidemiology (pp. 13-35). 2000; New York: Oxford University Press.

16. Kabir AA Whelton PK Khan MM Gustatc J Chen W. Association of symptoms of depression and obesity with hypertension: The Bogalusa Heart Study. Am J Hypertension. 2005;19:639-645.

17. Jafar TH Chaturvedi N Pappas G. Prevalence of overweight and obesity and their association with hypertension and diabetes mellitus in an Indo-Asian population. CMAJ. 2006;175:1071-1077. doi:10.1503/cmaj.06046

18. Nakanishi N Yoshida H Nagano K Kawashimo H Kakamura K Tatara K. Long working hours and risk for hypertension in Japanese male white collar workers. J Epidemiol Community Health. 2001;55:316322.

19. Lovibond SH Lovibond PF. Manual for the depression anxiety stress scales. (2nd. Ed.) 1995; Sydney: Psychology Foundation

20. Potangaroa R. The use of the DASS42 survey in Bandar Siab Khan Camp Mansehra Pakistan (Report to UNHCR). Islamabad: UNHCR 2005.

21. Hanif M Ahmed M Ahmed AM. Biostatistics for health students with manual on software applications. Islamic Society of Statistical Sciences. 2006; Lahore: An ISOSS publication.

22. Hildrum B Mykletun A Holmen J Dahl AA. Effect of anxiety and depression on blood pressure: 11-year longitudinal population study. Br J Psychiatry. 2008;193:108113. doi: 10.1192/bjp.bp.107.045013.

23. Gentry WD Chesney AP Gary HE Hall RP Harburg E. Habitual anger-coping styles: Effect on mean blood pressure and risk for essential hypertension. Psychosom Med. 1982;44(2):195-202. doi:195-202. 0033-3174/82/020195

24. Piccirillo G Bucca C Tarantini S Santagada E Viola E Durante M et al. Sympathetic activity and anxiety in hypertensive and normotensive subjects. Archiv Gerontology Geriatrics. 1998;26(1):399-406. doi:10.1016/ S0167-4943(98)80058-7

25. Gupta R Joshi P Mohan V Reddy KS Yusuf S. Global burden of cardiovascular disease: Epidemiology and causation of coronary heart disease and stroke in India. Heart. 2008;94:16-26. doi:10.1136/hrt.2007.132951

Author's contribution:

MM conceived designed collected data did statistical analysis and wrote manuscript and edited of manuscript.

NN review and final approval of manuscript.
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Publication:Pakistan Journal of Medical Sciences
Date:Dec 31, 2014
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