International Journal of Community Medicine and Public Health

Gaikwad HB et al. Int J Community Med Public Health. 2023 Aug;10(8):2872-2877

http://www.ijcmph.com

pISSN 2394-6032 | eISSN 2394-6040

Epidemiological determinants associated with depression among adult hypertensives in an urban field practice area: a cross sectional study

Haribhau B. Gaikwad1*, Manissha Srivastav2, Seema S. Bansode-Gokhe2


1Department of Community Medicine, Government Medical College, Aurangabad, Maharashtra, India

2Department of Community Medicine, LTMMC & GH, Sion, Mumbai, Maharashtra, India

Received: 23 May 2023

Revised: 13 July 2023

Accepted: 14 July 2023

*Correspondence:

Dr. Haribhau B. Gaikwad,

E-mail: hari.gaikwad05@gmail.com

Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

ABSTRACT

Background: Non-communicable diseases cause, more than 50% of deaths and cardiovascular diseases emerged as the most important cause of it. Hypertension affects about 1 billion people worldwide and it is estimated that by 2025, up to 1.58 billion adults while the comorbidity of depression, anxiety, and cardiovascular diseases is an important public health concern representing 31% of all deaths. Objectives were to study prevalence of depression among adult hypertensive study subjects and to assess the epidemiological determinants associated with depression among adult hypertensives.

Methods: A single centre, cross-sectional observational study was conducted among 350 hypertensive adult of urban field practice area of teaching medical institute with 10 months period from May 2019 to March 2020. A semi-structured, pre-tested questionnaire was used for data collection and 21 items self-reporting Becks Depression Inventory scale (BDI) was used for assessment of depression. The BDI score <10 denotes normal or no depression & the score >10 denotes depression. The data was analyzed using IBM SPSS software 16 trial version. The Chi-square test was used for test of significance.

Results: Out of total of 350 study subjects, males were 100 and females were 250. Out of them, 151 had depression. The overall proportion of depression among study subjects was found to be 43.14%.

Conclusions: In present study, proportion of depression among hypertensives was found to be high i.e. 43.14%. Lower socio-economic status, altered sleep pattern, addiction history, history of loneliness, low educational status more likely to have co-morbid depression.

Keywords: Hypertension, Depression, Urban area, India

INTRODUCTION

Non-communicable diseases also known as chronic diseases or as socially transmitted diseases, cause, more than 50% of deaths and cardiovascular diseases (CVDs) emerged as the most important cause of it.1 They have become a major public health problem, the world over, and the burden has increased manyfold in low to middle-income countries compared to infectious diseases (world health organization, 2008). The prevalence of depression among patients with NCDs ranged from 22% to 33% while the prevalence among hypertensives was 29%.2 Globally, cardiovascular diseases account for approximately 17 million deaths a year. It has been predicted that cardiovascular diseases will be the major cause of morbidity and mortality in developing countries in the foreseeable future. The relationship between blood pressure and the risk of cardiovascular disease events is continuous, consistent, and independent of other risk factors. They account for nearly a third of all deaths worldwide.3 Worldwide, 20% of CVD deaths occur in India. The burden of NCDs on individuals, families, communities, and health systems is significant in India.4 Hypertension affects about 1 billion people worldwide and it is estimated that by 2025, up to 1.58 billion adults will suffer from complications of hypertension.5 Hypertension is the most recognized modifiable risk factor of cardiovascular diseases, stroke, and end-stage renal disease.6 Depression often co-occurs with chronic physical illnesses such as hypertension, diabetes mellitus, and epilepsy. These chronic physical illnesses sometimes lead to a decrease in the patient's quality of life and thus increase the risk of developing depression.7 While the relationship between comorbid anxiety-depression and chronic physical illnesses such as hypertension was examined in the data from 17 countries that completed World Mental Health Surveys.8 Over the past several decades, a high prevalence of depression has been reported among patients with a range of chronic illnesses including 17 to 27% of patients with cardiovascular disease, 11 to 31% of patients with diabetes, and 10 to 24% of patients with arthritis. 9

Indian studies have reported that prevalence rates of depression vary from 21-83% in primary care practices.10 The comorbidity of depression, anxiety, and cardiovascular diseases is an important public health concern because cardiovascular diseases are the leading cause of death globally, representing 31% of all deaths.11 When both the comorbidities exist (sub-clinical depression and hypertension), there is increased risk for reduced quality of life, increased risk of stroke or myocardial infarction, reduced therapeutic compliance for anti-hypertensive therapy, increased risk of suicide in future, developed unipolar depression and higher use of limited healthcare resources.12 There have been a few populations based studies from India but most have been done on selected groups. Therefore, study have been conducted to study the prevalence of depression among adult hypertensive study participants and to assess the epidemiological determinants associated with depression among adult hypertensives.

METHODS

A single centre, cross-sectional observational study was conducted among 350 hypertensive adult of urban field practice area of teaching medical institute in a Metropolitan city with 10 months duration from May 2019 to March 2020. Prevalence of depression among hypertensives was taken as 33.3%.13 Sample size of 350 calculated with Cochrane formula with prevalence of 33.3%, with 95% confidence interval with 9 sampling units have been added to account for attrition, as a consideration of buffer. The study was conducted after obtaining permission from the Institutional Ethics Committee & confidentiality of all study participants was maintained. Patients attending the Out Patient Department (OPD) in the urban field practice of tertiary care centre were included in the study meeting with inclusion & exclusion criteria. After obtaining informed consent adults more than 18 years of age, who were diagnosed as hypertensives included in the study and those hypertensive patients who were not willing to participate in the study and those who were pregnant at the time of the study were excluded from the study.

A semi-structured questionnaire has been administered by face-to-face interview method. The questionnaire comprised of the following parts: Part 1: Sociodemographic details, Past medical history, general and systemic examination of the patient, assessment of risk factors for hypertension. Part 2: Assessment of depression by applying 21 items Becks depression inventory scale among study subjects.14 Each item consists of 4 responses, the minimal score is 0 and the maximum score is 63. The BDI score <10 denotes normal or no depression & the score >10 denotes depression. The categorization of depression as per Becks depression inventory (BDI) score is; 0-10 indicates normal, 10-16 indicates mild mood disturbance,17-20 indicates borderline clinical depression, 21-30 indicates moderate depression, 31-40 indicates severe depression and BDI score >40 indicates extreme depression. As per Becks depression inventory, the patients who had a score of more than 30 were referred to a higher centre for further treatment.

Blood pressure was measured in a sitting position with a suitable-sized cuff in the right arm using a mercury sphygmomanometer. It was measured two times without any gap in between and the average was taken. Blood pressure was measured after taking 5 min rest. According to the Joint National Committee 7 (JNC7), normal blood pressure is systolic blood pressure <80 mmHg. Hypertension is considered when systolic blood pressure is >140 mmHg and Diastolic blood pressure >90 mmHg.15 The data was entered in MS Excel 2010 and analyzed using IBM SPSS software 16 trial version. The Chi-square test was used as a test of significance.

RESULTS

Total adult hypertensive study subjects were 350, out of the total, 100 were males and 250 were females. Amongst all adult hypertensives, the minimum age of the participants was found to be 37 years and the maximum age was 90 years. The mean age of the study subjects was found to be 60.35 years. Majority of 130 (37.14%) of study subjects belonged to the age group 55-64yrs.The maximum study subjects viz. 243 (69.4%) were illiterate, 78 (22.3%) had completed primary education and 326 (93.14%) were unemployed. Out of the study subjects, mostly they were married 229 (65.4%) followed by widow 116 (33.1%), 176 (50.3%) belonged to the lower-middle-class family (III) followed by 125 (35.7%) lower-class family (V), the majority 289 (82.6%) had no addiction history, 190 (54.3%) had disturbed sleep pattern, 137 (39.1%) had history of loneliness, 303(86.6%) had history of financial dependence on family members and 302 (86.3%) having history of lack of family care/caregivers (Table 1).

Table 1: Socio- demographic profile of study subjects.
Table reproduced from source PDF page 3
Table 2: Distribution of study subjects according to levels of depression (as per Becks depression inventory).
Levels of depressionN%
Extreme depression10.3
Mild mood disturbance205.7
Borderline clinical depression288.0
Severe depression318.9
Moderate depression7120.3
Normal19956.9
Total350100

The proportion of depression among all adult hypertensive study subjects was found to be 43.14% (Figure 1). Out of the female (30.86%) had more proportion of depression than males (12.29%). As per Becks Depression Inventory scale, the majority were normal 199 (56.9%), followed by 71 (20.3%) with moderate depressive symptoms, 31 (8.9%) with severe depressive symptoms, 28 (8.0%) borderline clinical depressive symptoms, 20 (5.7%) had mild mood disturbance and 1 (0.3%) had extreme depressive symptoms (Table 2). The psychological factors which were significantly associated with depression (p<0.05) in this study were type of work, marital status, socio-economic status, sleep pattern, addiction history, history of loneliness, history of financial dependence on family members while gender, occupation, history of lack of family care/caregivers was found to be not significantly associated with depression among study subjects (p>0.05) (Table 3).

Figure 1: Proportion of depression among study subjects. | 43.14 % 56.86 % Depression No depression
Figure 1: Proportion of depression among study subjects.

DISCUSSION

A single centre, cross-sectional observational study was conducted among 350 hypertensive adult of urban field practice area of teaching medical institute in a Metropolitan city. out of the total, 100 were males and 250 were females. Amongst all adult hypertensives, the minimum age of the participants was found to be 37yrs and the maximum age was 90 years. The mean age of the study subjects was found to be 60.35 years. Majority of 130 (37.14%) of study subjects belonged to the age group 55-64 years. The maximum study subjects viz. 243 (69.4%) were illiterate, 78 (22.3%) had completed primary education and 326 (93.14%) were unemployed. Out of the study subjects, mostly they were married 229 (65.4%) followed by widow 116 (33.1%), 176 (50.3%) belonged to the lower-middle-class family (III) followed by 125 (35.7%) lower-class family (V), the majority 289 (82.6%) had no addiction history, 190 (54.3%) had disturbed sleep pattern, 137 (39.1%) had history of loneliness, 303 (86.6%) had history of financial dependence on family members and 302 (86.3%) having history of lack of family care/caregivers. Similar finding results were found in a cross-sectional study conducted at the Civil Hospital Karachi outpatient department by Mahmood et al from January 2017 to April 2017. The sample size was 411 hypertensive patients. The prevalence of depression within 411 hypertensive patients was found to be 40.1% (n=165). The mean age of the sample was 45.7±11.2 years, and majority were females (72%, n=295), unemployed (72%, n=296), had primary or no education (67%, n=277), and were of low socioeconomic status (78%, n=321).16 In current study, the proportion of depression among hypertensive study subjects was found to be 43.14% in which females had a majority 108 (30.86%) of the proportion of depression and male had 43 (12.29%). Similar findings were found in the cross-sectional study conducted by Prathibha et al where prevalence of depression among hypertensive individuals in this study was 33.3%.

The psychological factors which were significantly associated with depression (p<0.05) in this study were type of work, marital status, socio-economic status, sleep pattern, addiction history, history of loneliness, history of financial dependence on family members while gender, occupation, history of lack of family care/caregivers was found to be not significantly associated with depression among study subjects (p>0.05). Similar findings were found in the cross-sectional study where gender, socio-economic status, marital status, low educational status, regular physical activity, duration of hypertension, uncontrolled BP, were found to be significantly associated with depression.17

In present study, as per Becks depression inventory scale, the majority were normal 199 (56.9%), followed by 71 (20.3%) with moderate depressive symptoms, 31 (8.9%) with severe depressive symptoms, 28 (8.0%) borderline clinical depressive symptoms, 20 (5.7%) had mild mood disturbance and 1 (0.3%) had extreme depressive symptoms (Table 2). Similar study findings were found in a study conducted by Stanetic et al indicated Primary Health Centre Banja Luka, Bosnia, and Herzegovina which was done to assess prevalence of depression in patients with hypertension using beck depression inventory. The results of this study showed that as per becks depression inventory the 54.0% with hypertension had no present symptoms of depression, remaining 46.0% of study subjects showed symptoms of depression in which 29.0% had mild depression, 10.5% had moderate depression, and 6.5% had severe depression.18

In another study conducted by Taqui et al in Karachi, Pakistan revealed that in multiple logistic regression analysis the nuclear family system, female sex, being single or divorced/widowed, unemployment, and having a low level of education were significant in this study (p<0.05).19 A cross-sectional study conducted by D'souza rt al on the prevalence of depression among elderly in an urban slum of Bangalore stated that the various psychosocial factors which are associated with depression in the elderly include stressful life events, loneliness, poor social/family support, isolation, dependency, lack of family care, and, insufficient time spent with children.20

Table 3: Association of socio demographic factors with depression among study subjects.
Table reproduced from source PDF page 5

Limitations

Patients with co-existing morbidities especially non-communicable diseases was considered based only on history and medical records, but investigations will not be done for the same e.g., diseases like cardiovascular diseases such as stroke and heart attacks, cancers, chronic respiratory diseases such as chronic obstructive pulmonary diseases and asthma, CKD, cataract, Alzheimer disease, osteoporosis, and osteoarthritis.

The total population of the urban slum was expected to be high so the study sample was taken according to the prevalence of depression among hypertensives in the general population. So in the current study the proportion of depression only depicts the there is need for a community screening of hypertension and depressive symptoms among them, in that particular urban slum area, and necessary referral services provided who had more depressive symptoms among hypertensives and further management and follow-up.

CONCLUSION

Regular screening for hypertension along with mental health survey is necessary for the urban slum area. Adequate control of blood pressure along with awareness among primary care physicians in identifying those with hypertension and co-morbid depression is essential. The underlying causes of depression need to be addressed and community programs need to be initiated to raise awareness regarding long-term complications of untreated depression, especially in hypertensive females.

ACKNOWLEDGEMENTS

Authors would like to thank to all who provided their constant support and guidance during the study.

Funding: No funding sources

Conflict of interest: None declared

Ethical approval: The study was approved by the Institutional Ethics Committee

REFERENCES

  1. 1. Gupta R, Xavier D. Hypertension: The most important non communicable disease risk factor in India. Indian Heart J. 2018;70(4):565-72.
  2. 2. Boima V, Tetteh J, Yorke E, Archampong T, Mensah G, Biritwum R, et al. Older adults with hypertension have increased risk of depression compared to their younger counterparts: Evidence from the World Health Organization study of Global Ageing and Adult Health Wave 2 in Ghana. J Affect Disord. 2020;277:329-36.
  3. 3. Basu S, Millett C. Social epidemiology of hypertension in middle-income countries: Determinants of prevalence, diagnosis, treatment, and control in the WHO SAGE study. Hypertension. 2013;62(1):18-26.
  4. 4. Madavanakadu DS, Benny AM, Scaria L, Nannatt A, Fendt-Newlin M. Social factors associated with chronic noncommunicable disease and comorbidity with mental health problems in India: A scoping review. BMJ. 2020;10(6):32-9.
  5. 5. Gupta PC, Gupta R, Pednekar MS. Hypertension prevalence and blood pressure trends in 88 653 subjects in Mumbai, India. J Hum Hypertens. 2004;18(12):907-10.
  6. 6. Gupta VK, Rai N, Toppo NA, Kasar PK, Nema P. An epidemiological study of prevalence of hypertension and its risk factors among non migratory tribal population of Mawai block of Mandla district of central India. Int J Community Med Public Heal. 2018;5(3):957.
  7. 7. Okunrinboye HI, Otakpor AN, Ilesanmi OS. Depression and medication adherence in patients with hypertension attending a tertiary health facility in South-West Nigeria. Pan Afr Med J. 2019;33:1-12.
  8. 8. Grimsrud A, Stein DJ, Seedat S, Williams D, Myer L. The association between hypertension and depression and anxiety disorders: Results from a nationallyrepresentative sample of South African adults. PLoS One. 2009;4(5):32-8.
  9. 9. Jiang C, Zhu F, Qin T. Relationships between chronic diseases and depression among middle-aged and elderly people in China: a prospective study from charls. Curr Med Sci. 2020;40(5):858-70
  10. 10. Poongothai S, Pradeepa R, Ganesan A, Mohan V. Prevalence of depression in a large urban south Indian population-The Chennai urban rural epidemiology study. PLoS One. 2009;4(9):32-8.
  11. 11. Ivanovs R, Kivite A, Ziedonis D, Mintale I, Vrublevska J, Rancans E. Association of depression and anxiety with the 10-year risk of cardiovascular mortality in a primary care population of Latvia using the SCORE system. Front Psychiatr. 2018;9:1-14.
  12. 12. Neupane D, Panthi B, McLachlan CS, Mishra SR, Kohrt BA, Kallestrup P. Prevalence of undiagnosed depression among persons with hypertension and associated risk factors: A cross-sectional study in urban Nepal. PLoS One. 2015;10(2):1-11.
  13. 13. T. PM, Varghese S, Dev V. G, J. J. Prevalence of depression among hypertensive individuals in urban Trivandrum: a cross sectional study. Int J Community Med Public Heal. 2017;4(6):2156.
  14. 14. Becks depression Inventory scale. Available at: https://www.ismanet.org/doctoryourspirit/pdfs/Beck-Depression-Inventory-BDI.pdf. Accessed on 20 February 2023.
  15. 15. Singh S, Shankar R, Singh GP. Prevalence and associated risk factors of hypertension: a cross-sectional study in urban Varanasi. Int J Hypertens. 2017.
  16. 16. Mahmood S, Hassan SZ, Tabraze M, Khan MO, Javed I, Ahmed A, et al. Prevalence and predictors of depression amongst hypertensive individuals in Karachi, Pakistan. Cureus. 2017;9(6):30-8.
  17. 17. Varghese S, Dev V. Prevalence of depression among hypertensive individuals in urban Trivandrum: a cross sectional study. Int J Community Med Public Heal. 2017;4(6):2156.
  18. 18. Stanetic K, Stanetic M, Jankovic S, Cubrilovic I. Prevalence of depression in patients with hypertension. IJCM. 2017;3(2):16-21.
  19. 19. Taqui AM, Itrat A, Qidwai W, Qadri Z. Depression in the elderly: Does family system play a role? A cross-sectional study. BMC Psychiatr. 2007;7:1-12.
  20. 20. Grover S, Malhotra N. Depression in elderly: A review of Indian research. J Geriatr Ment Heal. 2015;2(1):4.