1. Prevalence of and factors contributing to anxiety, depression and cognitive disorders among urban elderly in Odisha – A study through the health systems' Lens.
- Author
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Nayak, Sudharani, Mohapatra, Mrinal Kar, and Panda, Bhuputra
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AGE distribution , *MEDICAL care for older people , *ANXIETY , *CHRONIC diseases , *COGNITION disorders , *CONCEPTUAL structures , *MENTAL depression , *DISEASES , *EXECUTIVES , *HEALTH promotion , *INTERVIEWING , *RESEARCH methodology , *MEDICAL needs assessment , *MEDICAL personnel , *MENTAL health services , *METROPOLITAN areas , *PESSIMISM , *PRACTICAL politics , *PRIMARY health care , *PSYCHIATRISTS , *SMOKELESS tobacco , *SMOKING cessation , *SOCIAL stigma , *SUBSTANCE abuse , *QUALITATIVE research , *QUANTITATIVE research , *SOCIAL support , *HUMAN services programs , *DISEASE prevalence , *SEVERITY of illness index , *SEDENTARY lifestyles , *EARLY diagnosis , *DATA analysis software , *OLD age - Abstract
Highlights • The prevalence of severe anxiety (19.0%), severe depression (32.8%) and severe cognitive disorders (25.8%) among urban elderly in Berhampur city in Odisha, India was alarming. • Age, gender, education and social support system are significantly associated with these mental conditions. • Insufficient service providers, poor community awareness and social stigma were systemic challenges. • Physical activity, educational support and elderly-friendly environment need to be fostered. • Interventions at 'family' level for better participation of elderly in decision making need to be facilitated. Abstract Introduction Growing geriatric mental health needs of urban population in India pose several programmatic challenges. This study aimed to assess anxiety, depression and cognitive disorders among urban elderly, and explore availability of social support mechanisms and of a responsive health system to implement the national mental health programme. Methods 244 respondents were randomly selected from Berhampur city. We administered a semi-structured interview schedule to assess substance abuse, chronic morbidity, anxiety, depression and cognitive abilities. Further, in-depth interviews were conducted with 25 key informants including district officials, psychiatrists, and programme managers. We used R software and 'thematic framework' approach, respectively, for quantitative and qualitative data analysis. Ethical standards were complied with. Results About half of the respondents were economically dependent; 57.3% had moderate to severe anxiety; 46.7% had moderate to severe depression; while about 25% had severe cognitive impairments. We found association of chewing tobacco (1.34(0.28–2.40)) and depression (0.52(0.37–0.68)) with anxiety; negative perception about elderly-friendly society (1.64(0.75–2.53)) and physical inactivity (2.88(1.60–4.16)) with depression; and age (-0.11(-0.20 – -0.02)) and physical inactivity (-3.44(-5.13 – -1.74)) with cognitive disorders. Qualitative analysis revealed lack of awareness, social stigma, poor availability of trained human resources, and poor political commitment as important systemic barriers to early detection and treatment of mental ailments among the elderly. Conclusion Establishing tobacco cessation centres, sensitizing community about mental health needs of elderly, incentivizing physical activity of elderly, integrating mental health with primary care, multi-skilling providers and developing a cadre of community counsellors need urgent attention of policy makers and programme implementers. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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