Magnitude and Associated Factors of Depression Among People With Hypertension in Addis Ababa, Ethiopia: A Hospital Based Cross-Sectional Study

DOI: https://doi.org/10.21203/rs.3.rs-570280/v1

Abstract

Background:

The burden of depression is higher among people with chronic illnesses like hypertension and this comorbid condition leads to poor adherence to treatment and failure of compliance to lifestyle modifications, which in turn, increases risk of cardiovascular complications and mortalities. Low income countries, Ethiopia included, suffer from paucity of information describing the burden of hypertension comorbid with depression, which demands studies to narrow this knowledge gap, such as this one.

Methods:

Institution based cross-sectional study was conducted in three randomly selected public hospitals in Addis Ababa. Through a systematic random sampling method, a total of 416 known hypertensive patients with follow up in hypertension clinics with in the study period enrolled in the study. Data were collected through structured questionnaire administered by trained interviewer, which latter cleaned, edited and entered in to epi-data version 3.1. Descriptive and bi-variable and binary logistic regression analysis were done using the statistical software, SPSS version 25. Depression was assessed through Hospital Anxiety and Depression Scale (HADs).

Results

The prevalence of depression among hypertensive patients was found to be 37.8%. The binary logistic regression model revealed that, female sex [AOR = 5.37, 95% CI (3.089–9.35)], being married [AOR = 0.25, 95% CI (0.08–0.78)], presence of chronic comorbid illnesses [AOR = 3.03, 95% CI (1.78–5.16)], uncontrolled blood pressure [AOR = 2.80, 95% CI (1.65–4.75)], duration of hypertension of 5–10 years [AOR = 3.17, 95% CI (1.61–6.23)] and more than 10 years [AOR = 5.81, 95% CI (2.90-11.65)], family history of depression [AOR = 4.53, 95% CI (2.37–8.66)] and current alcohol consumption [AOR = 1.77, 95% CI (1.02–3.07)] were significantly associated with depression among hypertensive patients.

Conclusion

Higher proportion of depression was observed among hypertensive patients, and socio-demographic, clinical and behavioral characteristics were found to significantly influence the likelihood of occurrence. Health care providers should consider mental health status of hypertensive patients, and counsel for these factors.

1. Background

Non-communicable diseases are the leading causes of morbidity and mortality in today’s world (1). In 2016, non-communicable diseases were estimated to account for 71% of the 57 million global deaths. In addition to that, 78% of all non-communicable disease deaths occurred in low- and middle-income countries (2).

Mental disorders are common in all countries of the world and greatly affect socioeconomic development and growth (3). Among the mental disorders, depression is a significant contributor to the global burden of disease and affects people in all communities across the world. Today, globally around 350 million people affected by depression with a 7% lifetime risk. By 2030 depression shall become the leading cause of disability worldwide (4).

Depression is a common mental disorder that presents with depressed mood, decreased energy, loss of interest, feelings of guilt or low self-worth, disturbed sleep or appetite, and poor concentration (5). Moreover, Depression reduces individual’s productivity at work, school or daily activities of life, at severe stages, it can even lead to suicide (4).

Patients with chronic illnesses are at risk of developing mental illness. When psychological and psychosocial issues co-occur with physical illness, particularly with chronic diseases, that makes the diagnosis and management often difficult (6). Differently from the general population, depression is consistently higher in people affected by chronic diseases (7). Like patients with other chronic medical conditions, hypertensive patients experience many profound emotions which increase their risk for the development of mental health disorders, particularly anxiety and depression (8). Even though studies are scarce in the area, a document from WHO shows higher prevalence of major depression in hypertensive patients (7).

Although the causal mechanism of depression and hypertension have not been proven yet, relationship of depressive symptoms with vascular diseases, such as hypertension and cardiovascular disease and increased risk of depressed patients to many illnesses related to vascular disease is known. However, so far there is no evidence to definitively state which condition occurs first (9).

Depression in hypertensive patients is associated with poorer health status, including lower quality of life (10), increased medical resources (11), lower rate of treatment compliance (12) and even increased mortality (13). People with depression could suffer from lack of occupational and social role function and it is easier for hypertensive patients with depression to further develop depressive symptoms (14). When uncontrolled blood pressure and poor adherence to antihypertensive medication is recognized among hypertensive patients, it is important to consider depression as a co-factor (15).

Comorbid mental disorders are often unrecognized and not always effectively treated (8). Considering increasing prevalence and mortality of hypertension, there is a need for further research on psychological aspects of those diseases in Ethiopia. The prevalence and determinant factors of depression in hypertensive patients show inconsistent findings in studies from abroad (14). In Ethiopia, depression among hypertensives is not well explored and fully understood. This study hence, aims to fill this knowledge gap.

2. Methods

2.1. Study area and period

The study was conducted in Addis Ababa, the Capital City of Ethiopia. There are ten public hospitals in Addis Ababa, which give chronic care, out of those, three hospitals were selected. The hospitals were St Paul’s Hospital, Yekatit 12 Hospital and the All African Tuberculosis and Leprosy Rehabilitation and Training Hospital. The study was conducted between September 11, 2019 and November 17, 2020.

2.2. Study design

A hospital based cross-sectional study design was employed.

2.3. Study population

The study population included all hypertensive patients who were older than 18 years and under treatment for hypertension for at least six months in selected public hospitals hypertension follow up clinic during the data collection period. Critically ill patients, patients with severe psychiatric disorder and pregnant women who could have gestational hypertension were excluded.

2.4. Study variables

The dependent variable was depression disorder, while independent were socio-demographic and economic characteristics (age, sex, marital status, monthly income, employment, level of education, residence), behavioral characteristics (alcohol consumption, cigarette smoking, physical activity) and psychosocial and clinical characteristics (comorbidities, blood pressure control, duration of hypertension, family history of hypertension and family history of depression).

2.5. Sample size

Sample size was determined using a single population proportion formula with a 95% CI and 5% margin of error, assuming the prevalence of depression at 41.7% from a previous study (16). Considering a 10% non-response rate, a total 416 hypertensive patients were involved in the study.

2.6. Sampling procedures

Out of 10 public hospitals, that give hypertension follow-up services, three were randomly selected using a lottery method. The number of study units from each hospital were proportionally allocated from the three month’s patient visit load. Accordingly, 89, 65 and 262 cases were allocated to ALERT Hospital, St. Paul’s Hospital, and Yekatit 12 Hospital respectively, and then individual cases were recruited by systematic random sampling procedure.

2.7. Data collection procedures

Data were collected through structured questionnaire through face to face interview by four trained BSc nurses. The instrument has three sections; the first section assessed socio-demographic and behavioral characteristics which was modified from the World Health Organization instrument for stepwise surveillance (WHO STEPS) of chronic disease risk factors (17), while the second section assessed clinical characteristics, and the third section assessed depression using the Hospital Anxiety and Depression Scale (HADS) (18). The score classified as normal or no depression (0–7), mild depression (810) and marked depression (1121) (19). The participant’s blood pressure and comorbidities were taken from their medical records. The tool has been validated earlier in Ethiopia (20).

2.8. Data Analysis procedures

Data were checked for completeness, cleaned, edited, coded and entered to epi-data 3.1 version and exported and analyzed using SPSS version 25, and descriptively analyzed and displayed by frequencies, means, median and proportions. Bivariate analysis was calculated to examine association of independent variables with the dependent variable. Variables with P-value < 0.25 were entered to binary logistic regression model to examine the association of each predictor variable in the outcome variable and control the effects of confounding variables for depression, using odds ratios, with 95% confidence interval. Independent variables with P-value of < 0.05 were considered as having statistical significant association with the outcome variable.

2.9. Data quality assurance

A Properly designed data collection tool was prepared. The questionnaire was assessed for simplicity and clarity. The English version of the questionnaire was translated in to the local language, (Amharic) and translated back to English, to check for consistency. The original and translated questionnaires were compared and the discrepancies were reviewed and resolved accordingly. Pretest was made in 5% (21 hypertensive patients) of the target population at Ras Desta Hospital and necessary modifications were made. The data collected were reviewed and checked for completeness and relevance by supervisor and principal investigator each day.

2.10. Operational definitions

Hypertension

Is defined as a rise in blood pressure when systolic blood pressure ≥ 140 mm Hg and/or diastolic blood pressure ≥ 90 mm Hg (21).

Depression

score of greater than or equal to 8 by the HAD depression sub-scale.

Controlled blood pressure is systolic < 140 and diastolic < 90 and uncontrolled blood pressure is systolic ≥ 140 or diastolic ≥ 90) (22).

Adults were categorized as current smoker when they were using cigarette in the past one month and when individuals smoked at least once in their life time they were categorized as ever smoker. Adults were categorized as current drinker when they were using alcohol in the past one month and when individuals drink alcoholic beverages at least once in their life time they were categorized as lifetime drinker (17).

Physically active

those who were doing moderate to vigorous activities at work or leisure time for at least 30 minutes, for 4 or more days in a week (23), in accordance with WHO typical physical activities (17).

Comorbid illnesses

arthritis, HIV/AIDS, Leprosy, asthma, any other chronic lung diseases (COPD or emphysema), stroke, heart attack, heart disease, chronic kidney disease, chronic liver disease, diabetes, thyroid disease, neurological problems (seizure, epilepsy, parkinson’s), cancer.

3. Results

3.1. Socio-economic, demographic, clinical and behavioral characteristics of respondents

Socio-economic and demographic characteristics of respondents

Complete data was obtained and analyzed from 407 participants (response rate of 97.8%), of which 219 (53.8%) were males, and the mean age was 49.47 years (standard deviation of 11.46), the majority, 137 (33.7%) were in the age group 48–57 years. More than two third (67.8%) were married and 166 (40.8%) attended college level education (Table 1). The monthly median average income was 74.5 USD (inter-quartile range of 44.7 USD)

Clinical and individual characteristics of respondents

As it is shown in Table 2, at least one or more comorbid conditions were reported by 168 (41.3 %). Duration of hypertension in 124 (30.5%) of the participants was greater than 10 years, and their blood pressure was under control in more than half (57.5%). Family history of hypertension was reported only by 52 (12.8%), while family history of depression by 80 (19.7%). Furthermore, history of smoking and alcohol drinking was reported by 9.8% and 70.5% respectively, while physical activity by 14.5%. (Table 2).

3.2. Prevalence of depression among hypertensive patients

The prevalence of depression among hypertensive patients was found to be 37.8% [95% CI (33.4%-42.5%)], 24.6% of them were mildly depressed and 13.2% were markedly depressed (Fig. 1).

3.3. Factors associated with depression

Binary logistic regression analysis revealed that females were 5.4 times more likely to have depression compared to males. Married subjects had 75% reduced odds of having depression compared to those who were single. Those who had comorbid illnesses were 3 times more likely to have depression compared to those with no any comorbid illness, those with uncontrolled blood pressure are 2.8 times more likely to have depression compared to those with controlled blood pressure, subjects with duration of hypertension 5 to 10 years are 3.2 times and more than 10 years are 5.8 times more likely to have depression compared to patients with less than 5 years of hypertension duration. Subjects with positive family history of depression are 4.5 times more likely to have depression compared to their counterparts. Current alcohol drinkers were 1.8 times more likely to have depression compared to those who are not alcohol drinkers currently (Table 3).

4. Discussion

This study revealed the prevalence of depression among hypertensive patients to be 37.8%, the finding is in line with studies done in Ghana 41.7%(16), Pakistan 40.1%(24) and India 41%(25). On the other hand, the current finding is lower than a study conducted in Afghanistan, which found prevalence of depression among hypertensives to be 58.1% (26). As suggested by the researchers, the reason for higher magnitude could be the ongoing conflict in different parts of the country. Similarly, higher prevalence of depression observed in a study from Saudi Arabia 48.7%(27) and Bosnia and Herzegovina 46% (28). Ebtesam B found the highest prevalence of depression which is in two third (66.7%) of hypertensive subjects (29). On the contrary, lower prevalence observed in few studies a study in Hawassa, Southern Ethiopia (30), Ghana (31) and Nigeria (16). The variations might be due to difference in environmental factors, genetical factors, sample size, method of assessment of depression and data collection tool (14). Higher magnitude of depression in this study could be attributed to COVID-19 pandemic at the time of data collection (32).

According to this study, hypertensive females are at 5.4 times increased chance to be depressed. This is higher than a study in South Africa 3.5 times (33) and much higher than a study in Hawassa, Southern Ethiopia, 2.6 times increased risk (30). Similarly, majority of studies in the literature suggests the same findings (24, 25, 2729). Sociocultural variation could be the reason for the difference. In addition to this, higher magnitude of depression in females could rise from changes in sex hormone and influences in females related to social norms and gender issues, which is parents restrictive behavior towards their daughter than their sons affects their daughters senses of self-control and self-esteem and make them vulnerable to depression. Sexual and domestic violence could also contribute for the higher risk in females (34).

With respect to marital status, hypertensive subjects who were married have 75% reduced chance of being depressed. This finding is consistent with prior reports in the literature (25, 28). Differently from this, studies in Ethiopia (30), South Africa (33), Pakistan (24), Afghanistan (26) and Ghana (16) found no association. The reason for reduced risk of depression among married could be being settled, sharing the increasing burden of living cost and retaining positive health behaviors (35).

In terms of comorbid illnesses, our study revealed that hypertensive patients with comorbid illnesses are 3 times more likely to be depressed. An Afghanistanian study reported that hypertensive subjects with comorbid diabetes are 22.7 times more likely to have depression (26). Similar to this, Vishnu G and et al found higher magnitude of depression among hypertensives with comorbidities (25). A plausible explanation for that could be, the sadness and consistent hardship the comorbid illnesses bring together (7).

In respect to blood pressure control, this study also found that hypertensive subjects who had uncontrolled blood pressure are 2.8 times more likely to be depressed. This finding is in accordance with a study in Saudi Arabia (29). It could be because of poor adherence of depressed subjects to their medications resulting in poor blood pressure (7).

Regarding duration of hypertension, this study showed that those with increased duration of hypertension likelihood of being depressed increased. Subjects with duration of hypertension 5 to10 years and more than 10 years have 3.2 and 5.8 times increased chance of being depressed respectively. This finding is comparable to a previous study which was conducted in Pakistan (25). It is also supported by Kosana S et al report, depression is significantly more expressed in hypertensives with prolonged duration of the disease (28).

With respect to family history of depression, this study found that hypertensive participants with family history of depression are 4.5 times more likely to have depression. This association is demonstrated by a study in Hawassa, Southern Ethiopia, where hypertensive subjects with positive family history had 7 times higher chance of being depressed (30). Similarity in genetical factors could be the reason (14).

Besides, our study also showed that hypertensive subjects who drink alcohol have 1.8 times increased chance of being depressed. This finding is comparable with a study conducted in South Africa, with 1.9 times higher risk of being depressed (33). A review by Tesera B revealed higher odd of depression among substance abusers than their counterparts (34). The possible explanation could be influence of health effect, social problem, economic and productivity loss associated with alcohol increase the risk of depression (36).

5. Conclusion

Compared to the general population higher prevalence of depression was observed among hypertensive patients attending the selected public hospitals in Addis Ababa. Depression is significantly associated with female gender, being married, presence of comorbid illnesses, uncontrolled blood pressure, longer duration of hypertension, family history of depression and current alcohol drinking. The study recommends that hypertension follow-up clinics should establish a mechanism of screening service for mental health, in particular for depression. Moreover, further nation-wide community-based researches are needed to assure generalizability of the findings.

Abbreviations

AOR: Adjusted Odds Ratio: ALERT: All African Tuberculosis and Leprosy Rehabilitation and Training Hospital; COR: Crude Odds Ratio; HADS: Hospital Anxiety and Depression Scale; SPSS: Statistical Package for Social Science; USD: United States Dollar

Declarations

Consent for publication

Not applicable

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Funding

This research work is funded by Addis Ababa University, College of Health Sciences. The funder has no role in the design of the study, data collection, analysis, and interpretation of data and publication of the finding.

Authors' contributions

YA conceived the study and involved in the design, conduct, analysis and interpretation of the research and drafted the manuscript. AA and AB contributed to the design, conduct and analysis of the research and in the review of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

First we would like to thank the Addis Ababa University, School of Public Health for the technical and financial support. A special appreciation is also extended to participants who voluntarily participated in the study. Finally, our thanks go to all people who supported us to complete this work.

Authors' information

School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

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Tables

Table1: Socio-economic and demographic characteristics of hypertensive patients attending public hospitals in Addis Ababa, 2020 G.C.

Variables

Frequency (n=405)

Percent (%)

Sex

Male

219

53.8

Female

188

46.2

 

 

Age

 

18-27 years

10

2.5

28-37 years

55

13.5

38-47 years

117

28.7

48-57 years

137

33.7

58-67 years

65

16

68 and above years

23

5.7

Educational status

Unable to read and write

56

13.8

Primary education

94

23.1

Secondary and preparatory education

91

22.4

College and above

166

40.8

Employment status

Non-governmental employee

26

6.4

Government employee

142

34.9

Self-employed

29

7.1

Non-paid job

15

3.7

Homemaker

53

13

Retired

74

18.2

Unemployed (able to work)

28

6.9

Unemployed (unable to work)

40

9.8

Marital status

Married

276

67.8

Single

31

7.6

Widowed

28

6.9

Divorced

72

17.7

Residence

Urban

403

99

Rural

4

1

Monthly average income

<30 USD

95

23.3

30-107 USD

272

66.8

108-322 USD

28

6.9

≥323

12

2.9

 

Table 2: Clinical, behavioral and individual characteristics of hypertensive patients attending public hospitals in Addis Ababa, 2019/2020 G.C.

Variables

Frequency (n=405)

Percent (%)

Comorbid illness

Yes

168

(41.3)

No

239

(58.7)

Blood pressure control

Yes

234

(57.5)

No

173

(42.5)

Duration of Hypertension

<5 years

131

(32.2)

5-10 years

152

(37.3)

>10 years

124

(30.5)

Family history of hypertension

Yes

52

(12.8)

No

355

(87.2)

Family history of depression

Yes

80

(19.7)

No

327

(80.3)

Ever smoke

Yes

40

(9.8)

No

367

(90.2)

Current smoke

Yes

17

(4.2)

No

390

(95.8)

Ever alcohol

Yes

287

(70.5)

No

120

(29.5)

Current alcohol

Yes

185

(45.5)

No

222

(54.5)

Physical activity

Yes

59

(14.5)

No

348

(85.5)

 
Table 3: Factors associated with depression among hypertensive patients attending public hospitals in Addis Ababa, 2020 G.C.

Variables

Depression

n(%)

No depression n(%)

COR(CI)

AOR(CI)

P value

Sex

 

 

 

 

 

Male

56(25.6)

163(74.4)

1

1

 

Female

98(52.1)

90(47.9)

3.17(2.09-4.81)

5.37(3.08-9.35)

0.000***

Marital status

 

 

 

 

 

Married

62(22.5)

214(77.5)

0.40(0.17-0.99)

0.25(0.08-0.78)

0.017*

Divorced

26(36.1)

46(63.9)

0.78(0.47-1.38)

0.94(0.48-1.83)

0.860

Widowed

7(25)

21(75)

0.46(0.20-1.15)

0.42(0.12-1.41)

0.159

Single

13(41.9)

18(58.1)

1

1

 

Monthly average income

 

 

 

 

 

<30 USD

53(55.8)

42(44.2)

1.77(0.52-5.97)

0.80(0.17-3.80)

0.779

30-107 USD

81(29.8)

191(70.2)

0.59(0.18-1.93)

0.32(0.07-1.38)

0.126

108-322 USD

15(53.6)

13(46.4)

1.62(0.41-6.34)

0.57(0.10-3.24)

0.528

≥323 USD

5(41.7)

7(58.3)

1

1

 

Comorbid illness

 

 

 

 

 

Yes

88(52.4)

80(47.6)

2.88(1.90-4.37)

3.03(1.78-5.16)

0.000***

No

66(27.6)

173(72.4)

1

1

 

Blood pressure control

 

 

 

 

 

Yes

60(25.6)

174(74.4)

1

1

 

No

94(54.3)

79(45.7)

3.45(2.27-5.25)

2.80(1.65-4.75)

0.000***

Duration of

Hypertension

 

 

 

 

 

>10 years

66(53.2)

58(46.8)

4.83(2.75-8.45)

5.81(2.90-11.65)

0.000***

5-10 years

63(41.4)

89(58.6)

3.00(1.75-5.16)

3.17(1.61-6.23)

0.001**

<5 years

25(19.1)

106(80.9)

1

1

 

Family history of depression

 

 

 

 

 

Yes

53(66.3)

27(33.7)

4.39(2.61-7.38)

4.53(2.37-8.66)

0.000***

No

101(30.9)

226(69.1)

1

1

 

Current alcohol

 

 

 

 

 

Yes

77(41.6)

108(58.4)

1.34(0.90-2.00)

1.77(1.02-3.07)

0.041*

No

77(34.7)

145(65.3)

1

1

 

*Statistically significant at p-value<0.05, ** statistically significant at p-value<0.01, *** statistically significant at p-value<0.001

COR = crude odds ratio at 95% confidence interval; AOR = adjusted odds ratio at 95% confidence interval.