This article explores the prevalence and risk factors of depression among the elderly in India. It discusses the socioeconomic and psychological factors that contribute to depression in this population.
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Public Health2 Word count – 1,567 Depression among the Elderly in India Introduction Depression is one of the major causes of the global burden of disease and in low-and-middle- income (LMICs) countries. According to the World Health Organization (1), depression is ranked as the only chief cause of non-severe health loss, representing 7.5% of worldwide years lived with disability (YLDs) and 2.0% of worldwide disability adjusted life years. The 2015 worldwide health estimates attribute approximately 33% of the total disability-adjusted life years to depressive disorders caused by mental health problems and substance abuse (2). It is predicted that by 2030 depression will be the second leading cause of global disease burden and the third leading cause of disease burden in low-and-middle-income countries (3). 4.4% of the global population have been diagnosed with symptoms of depression. The disorder is highly prevalent among females (5.1%) than males (3.6%) with the age group of 55-74 years being affected more in both genders. The incidence of the disorder fluctuates from 2.6% for males in the Western Pacific Region to 5.9% in the African Region (1). Over 80% of years lived with disability in low- and middle-income countries manifested depressive symptoms (2). (4) observes that the global rate of depression increased by 18.4% between 2005 and 2015. Poor quality life caused by depression also increased at relatively the same rate (18.2%) during the same period. India’s population represents 18% of the global population, 15% of the world-wide Disability Adjusted life years (DALYs) due to mental disorders, and 37% due to depression (5). The burden of depression in relation to disability-adjusted life years increased by 67% in 2013 from
Public Health3 1990. It is projected that by 2025, the disability-adjusted life years caused by depression will increase approximately 22.5% (2.6 million) as a result of the increase in the ageing population (5). Multiple population-based studies have reported even much higher prevalence estimates varying from 1.8% to 39.6%. However, these variations have been attributed to the different sample sizes, nature of the population, lack of uniformity, different study tools and interpretation of the outcomes and procedures of evaluation (6). Depression among the elderly population of India is expected to increase due to the increase in the ageing population. (7) conducted a systematic review of the prevalence of depression among the elderly in India and found out that it ranged from 11.6% to 31.1% with the females and urban dwellers being much more affected. Much higher rates were reported in community-based studies ranging from 3.9% to 47.0% with the women and urban dweller being much more affected. Common mental disorders are widely observed in primary care environments in low and medium-income countries. Multiple research carried out across India have shown that approximately 17-46% of patients visiting primary healthcare centres suffer common mental disorders such as depression (8-9). Depression accounted for the most prevalent common mental disorders (63.6%) (10). The latest reports carried out in Delhi indicate a 30.3% incidence of depression among outpatients. Depressed individuals are 1.52 times more likely to succumb to the condition than the overall population because of their mental or physical health issues that go unaddressed 27. Moreover, depression has been linked to several terminal sicknesses which further increases the mortality rate. Evidence-based research has also shown that 15% of the victims of depression are likely to commit suicide (11). Risk Factors for Depression among the Elderly in India
Public Health4 Depression is as a result of several factors due to intricate mechanisms; thus, there is no one identifiable cause. But there is evidence to show that multiple factors such as socioeconomic, cultural, biological and environmental factors affect a maladaptive person, resulting in depression (9,11). An elderly person may be depressed because of the loss of a loved one, or due to life stress, a background of depression in the family, or as a result of the chronic medical condition. However, some elderly people can undergo loneliness and feel discouraged without any pertinent reason. It is therefore important the risk factor for depression among the elderly be determined in order to ascertain the most appropriate intervention. This paper will, however, address only two types of risk factors for depression among the elderly in India, namely socioeconomic factors and psychological factors. Socioeconomic status (SES) Socioeconomic status does not only include income but also educational attainment, individual opinions on social status and social class, and financial security. It generally includes the overall features of quality life in addition to the opportunities and privileges offered to some individuals in society. Nevertheless, the most common indicators of socioeconomic status that have significant associations with depression include income and education (12). Studies have attributed low socioeconomic status (SES) among the elderly in India to depression. Income level and years of education have been used as elements SES index. The elderly aged 60 years and above have reduced the ability to work and thus are not able to comfortably support themselves financially whereas those who are elderly and self-employed still face low household income. The study by (9) found out that the elderly in India are at a higher risk of functional decline and loneliness; all of which leads to high incidences of depression. Low SES increases
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Public Health5 the risk of high costs of living and makes the elderly more vulnerable to developing depression, limits access to quality healthcare, and increased dependency and social support. Education level is another component of the SES index that is directly linked to depression among the elderly in India. Low SES implies low literacy levels, low education attainments which further limits employment opportunities and continuous flow of income and further increased the vulnerability to depression. Low income implies that one cannot afford proper nutrition especially among the elders whose health deteriorate with the increase in age. Non-communicable diseases are much more prevalent among older adults in India. Studies have attributed this to the high cost of treatment for such disorders and low income among the senior citizens (6-7). Psychological Factors Exposure to adverse parental impacts such as critical and reproachful styles of parenting are likely to affect one’s self-esteem. Additionally, the long-term separation or loss of the parental connection are examples of psychological factors that increase the risk of depression. Old people are affected by malnutrition due to low SES which likely to cause psychological stress and the possibility of depression especially among women (8-9,12). With the expected increase in life expectancies, the estimations indicate that there is likely to be the rise in depression and cases of dementia among the elderly population of India, because of the increase in the risk factor for both mental and health problems with the increase in age (1,5). The psychological difficulty, such as economic problems results in physiological changes that increase the vulnerability to depression. Studies among the elderly women in India found out that they were at a greater risk of physical abuse and neglect by family members (13-14). Some of the other psychological factors that
Public Health6 contribute to the high incidences of depression include social isolation, abuse by the caregivers, poverty and limited education levels. Studies by (13-14) also found out that India had increased cases of domestic and intimate partner violence in addition to substance abuse; all of which leads to broken relationships. All these factors make up psychological factors which are associated with depression. Prioritization of Depression Depression is a leading public health issue in India and it accounts for 37% among the elderly with a projected increase by 22.5% by 2025 due to the increasing population of the elderly in addition to the emphasis on life expectancy 5. On the other hand, depression is also a global health problem that is more prevalent in low-and-middle-income countries. There is a 7.5% prevalence in depression cases among the elderly of both genders. It is also estimated that by 2030, depression will be the second leading cause of disease burden in the world 3, and the leading cause of mental and substance abuse among the elderly 2. According to the World health organization, 4.4% of the global population is affected by depression with the females aged 55- 74 years being the most affected. Risk factors for depression are several with non-of them being independent of the other. For instance, socioeconomic factors do not only affect the elderly population of India but also in other countries. Community-based studies in India found out that depression among the elderly was majorly caused by SES with income level and education level being the most common components of SES index (15). Similar findings in low-income and middle-income countries have attributed depression among the elderly to be caused by SES which contributes to other factors such as psychological stress, poverty among others (16).
Public Health7 Conclusion Depression among the elderly is one of the leading burdens of disease both nationally and internationally. India accounts for almost 18% of the worldwide population and has a high prevalence of the ageing population due to the government and non-government initiatives to increase life expectancies. Depression among the elderly in India is caused by multiple factors that are dependent on each other. However, the common risk factors for depression include socioeconomic status and psychological factors. Socioeconomic status comprises of several components with income and education level being the most common. Low SES among the elderly is an indication of poverty, lack of accessibility to quality healthcare, high cost of living, increased dependence for social support among others. All these factors increase psychological stress and the vulnerability to depression.
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Public Health8 References 1)World Health Organization.Depression and other common mental disorders: global health estimates.Geneva: World Health Organization; 2017 Sept:1-24. Available from http://www.who.int/iris/handle/10665/254610. 2)World Health Organization. Global Health Estimates 2016: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2016. Geneva, World Health Organization; 2018 Sept; 1-4. Available fromhttps://www.who.int/healthinfo/global_burden_disease/estimates/en/ 3)Bygbjerg IC. Double burden of noncommunicable and infectious diseases in developing countries. Science. 2012 Sep 21;337(6101):1499-501. 4)Vos T, Allen C, Arora M, Barber RM, Bhutta ZA, Brown A, Carter A, Casey DC, Charlson FJ, Chen AZ, Coggeshall M. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet. 2016 Oct 8;388(10053):1545-602. 5)Charlson FJ, Baxter AJ, Cheng HG, Shidhaye R, Whiteford HA. The burden of mental, neurological, and substance use disorders in China and India: a systematic analysis of community representative epidemiological studies. The Lancet. 2016 Jul 23;388(10042):376-89. 6)Behera P, Sharan P, Mishra AK, Nongkynrih B, Kant S, Gupta SK. Prevalence and determinants of depression among elderly persons in a rural community from northern India. The National medical journal of India. 2016 May 1;29(3):129. 7)Barua A, Ghosh MK, Kar N, Basilio MA. Prevalence of depressive disorders in the elderly. Annals of Saudi medicine. 2011 Nov;31(6):620-4.
Public Health9 8)Patel V, Weobong B, Weiss HA, Anand A, Bhat B, Katti B, Dimidjian S, Araya R, Hollon SD, King M, Vijayakumar L. The Healthy Activity Program (HAP), a lay counsellor-delivered brief psychological treatment for severe depression, in primary care in India: a randomised controlled trial. The Lancet. 2017 Jan 14;389(10065):176-85. 9)Soni S, Shukla M, Kumar M. Prevalence of depression and associated risk factors among the elderly in rural field practice areas of a tertiary care institution in Katihar, Bihar. International Journal of Advances in Medicine. 2016 Oct;3(4):1016. 10)Grover S, Kumar V, Chakrabarti S, Hollikatti P, Singh P, Tyagi S, Kulhara P, Avasthi A. Explanatory models in patients with first episode depression: a study from North India. Asian journal of psychiatry. 2012 Sep 1;5(3):251-7. 11)Bhise MC, Behere PB. Risk factors for farmers' suicides in central rural India: Matched case–control psychological autopsy study. Indian journal of psychological medicine. 2016 Nov;38(6):560. 12)Kohli C, Kishore J, Agarwal P, Singh SV. Prevalence of unrecognised depression among outpatient department attendees of a rural hospital in Delhi, India. Journal of clinical and diagnostic research: JCDR. 2013 Sep;7(9):1921. 13)Sarkar NN. The cause and consequence of domestic violence on pregnant women in India. Journal of Obstetrics and Gynaecology. 2013 Apr 1;33(3):250-3. 14)Charlette SL, Nongkynrih B, Gupta SK. Domestic violence in India: Need for public health action. Indian journal of public health. 2012 Apr 1;56(2):140. 15)Nakulan A, Sumesh TP, Kumar S, Rejani PP, Shaji KS. Prevalence and risk factors for depression among community resident older people in Kerala. Indian journal of psychiatry. 2015 Jul;57(3):262.
Public Health10 16)World Health Organization. Depression in India: Let’s Talk. 2017 Sep; 1-50. Available fromhttp://www.searo.who.int/india/depression_in_india.pdf
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Public Health11 Word Count - 504 PART C Several interventions for the prevention and treatment of Depression among the elderly have been implemented in India because of the consequences of the disorder. Some of the examples of the interventions include development for the depression in later life (DIL protocol), community- based intervention and the National Programme for Health Care of the Elderly (NPHCE). Depression in Later Life (DIL protocol) The Depression in Late-life (DIL) trial was financed by the US National Institute for Mental Health and implemented in Goa, India ("DIL" also refers to the “heart” in one of India’s local dialect). The intervention consists of evidence-based elements such as Problem-Solving Therapy, education in self-management for medical comorbidities among others. moreover, the program also consists of behavioural therapy for insomnia; a disorder common among the senior adults. The objective of the programme is to prevent common mental health problems through the use of innovative and evidence-based approaches. It is based on the MANAS treatment trial (Promoting Mental Health”) (1). Community-Based Intervention – Attendance in Daycare in Puducherry A community-based intervention was set up in Thondamanatham in Puducherry, India. The programme consisted of multiple activities such as socialization in addition to psychological counselling. The Geriatric Depression Scale (GDS) was used to measure depression in addition to the Hindi Mini-Mental Status examination tool. The objective of the intervention was to ascertain whether community-based interventions are effective in reducing depression and improving the quality of life (2).
Public Health12 The National Programme for Health Care of the Elderly (NPHCE) The NPHCE is an initiative of both the national and international community under the leadership of the UN on the right and individuals with morbid conditions and adopted by the Government of India. The program aims at providing accessible, affordable, and high-quality, continuous, all-inclusive healthcare services to older people. It also aims at establishing and promoting an enabling environment that is all-inclusive and supports the elderly. The programme is implemented by different government departments such as at community health centres, regional geriatric centres, and in primary healthcare centres (3). Ethical Framework for Public Health Europhen Europhen is aimed at establishing routing methods to public health policy in European Union. The program evaluates common issues that should direct public health programs in addition to their actualization. The recommendations or evaluation considerations of the program consist of a sustainable environment that facilitates healthy living, creation of a sense of importance, respect for the confidentiality of information, and prompt response to health risk factors (4). Using European framework, the above three intervention programs implemented in India can score over 50% because all of them meet over six out of 11 recommendations of the Europhen framework. For instance, they all strive to develop an environment and structures that promote individual health and quality of life, fostering self-esteem of the target population in the society among others. For example, the community-based intervention conducts counselling sessions which are aimed at ensuring that the elderly attending the Daycare feel part of the community and can thus contribute effectively towards the development of the society (2).
Public Health13 References 1)Dias A, Azariah F, Cohen A, Anderson S, Morse J, Cuijpers P, Sequeira M, Gaude V, Soares S, Patel V, Reynolds III CF. Intervention development for the indicated prevention of depression in later life: the “DIL” protocol in Goa, India. Contemporary clinical trials communications. 2017 Jun 1;6:131-9. 2)Sarkar S, Kattimani S, Premarajan KC, Roy G. Impact of attendance in a daycare centre on depression among elderly in rural Puducherry: A pre-& post-intervention study. The Indian journal of medical research. 2017 Nov;146(Suppl 2):S68. 3)Verma R, Khanna P. National program of health-care for the elderly in India: a hope for healthy ageing. International journal of preventive medicine. 2013 Oct;4(10):1103. 4)ten Have M, de Beaufort ID, Mackenbach JP, van der Heide A. An overview of ethical frameworks in public health: can they be supportive in the evaluation of programs to prevent overweight?. BMC public health. 2010 Dec;10(1):638.
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