The proportion of older persons in Bangladesh is gradually increasing due to declining mortality rates and increased life expectancy. Bangladesh faces significant challenges around older persons’ health and well-being. The aim of this study was to assess older persons’ depression in two southern districts of Bangladesh and the relationship between depression and several socio-demographic characteristics. Data were collected from 280 older persons using Geriatric Depression Scale (GDS-10). Descriptive statistics were used to analyze demographic and depression data. One way classification of analysis of variance (ANOVA) was used to compare different groups of older persons with different socio-demographic characteristics. A large majority (84.3%) of participants reported having depression. Being widowed, being illiterate, the presence of disease(s), living in a nuclear family, and having a low income were found to be significant factors contributing to older persons’ depression. The identification of internal and external factors that affect older persons’ depression may inform screening and intervention programs and reduce the consequences of depression.
| Published in | International Journal of Sustainable Development Research (Volume 3, Issue 5) |
| DOI | 10.11648/j.ijsdr.20170305.11 |
| Page(s) | 47-49 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2024. Published by Science Publishing Group |
Bangladesh, Older Persons, Depression
| [1] | Ministry of Health and Family Welfare (Bangladesh), Health bulletin. Dhaka: Directorate General of Health Services, 2012. |
| [2] | H. Kabir, H. T. A. Khan, M. Kabir, and M. T. Rahman, “Population ageing in Bangladesh and its implication on health care,” European Scientific Journal, vol. 9, no. 33, pp. 34-47, November 2014. |
| [3] | M. A. Oakley Browne, J. E. Wells, K. M Scott (eds). Te Rau Hinengaro: The New Zealand Mental Health Survey. Wellington: Ministry of Health, 2006. |
| [4] | J. A. Yesavage, T. L. Brink, T. L. Rose, O. Lum, V. Huang, M. B. Adey, and V. O. Leirer. Development and validation of a geriatric depression screening scale: A preliminary report. Journal of Psychiatric Research, vol. 17, no.1, pp.37-49, 1983. |
| [5] | R. D. Dhara, and Y. A. Jogsan. Depression and psychological well-being in old age. Journal of Psychology and Psychotherapy. vol. 3, no. 117, May 2013. |
| [6] | D. G. Blazer. Depression in late life: Review and commentary. Journals of Gerontology. Biological Sciences and Medical Sciences. Vol.58, no. 3, pp. 249-265, March 2003. |
| [7] | J. Das, F. D. Farzana, F. Ferdous, S. Ahmed, S. Tegenfeldt, R. C. Paul, and S. K. Das. Factors associated with elderly depression among rural Bangladeshi individuals. American Journal of Psychiatry and Neuroscience. vol. 2, no. 1, pp. 1-7, 2014. |
| [8] | Ministry of Health and Family Welfare (Bangladesh), Health bulletin. Dhaka: Directorate General of Health Services, 2016. |
| [9] | O. P. Almeida and S. A. Almeida. Short versions of the Geriatric Depression Scale: A study of their validity for the diagnosis of a major depressive episode according to ICD-10 and DSM-IV International Journal of Geriatric Psychiatry, vol. 14, no. 10, pp. 858-865. October 1999. |
| [10] | P. Chauhan, P. R Kokiwar, K, Shridevi and S. Katkuri. A study on prevalence and correlates of depression among elderly population of rural South India. Int J Community Med Public Health. vol. 3, no.1, pp. 236-9, 2016. |
| [11] | J. Vishal, R. K Bansal, S. Patel and T. Bimal. A study of depression among aged in surat city. National J of Community Med, vol. 1, no. 1, pp. 47-9, 2010. |
| [12] | A. M. S. T. Assis et al. Quality of life and depressive symptoms in the elderly living in community, International Archives of Medicine, vol. 8, no. 246 pp- 1-8. 2015. |
| [13] | S. P. Sinha, S. R. Shrivastava and J. Ramasamy. Depression in an older adult rural population in India. MEDICC Rev, vol. 15, no. 4, pp. 41-4, 2013. |
| [14] | P. Sengupta and A. I. Benjamin. Prevalence of depression and associated risk factors among the elderly in urban and rural field practice areas of a tertiary care institution in Ludhiana. Indian J of Public Health, vol. 59, no. 1, pp. 3-8, 2015. |
| [15] | A. M. Taqui, A. Itrat, W. Qidwai and Z. Qadri. Depression in the elderly: Does family system play a role? A cross-sectional study. BMC Psychiatry, vol. 7, no. 57, October 2007. |
| [16] | A. P. Rajkumar, P. Thangadurai, P. Senthilkumar, K. Gayathri, M. Prince and K. S. Jacob. Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community. Int Psychogeriatr, vol.21, no.2, pp. 372-8, April, 2009. |
APA Style
Mohammad A bbas Uddin. (2017). Depression of Older Persons in Rural Bangladesh. International Journal of Sustainable Development Research, 3(5), 47-49. https://doi.org/10.11648/j.ijsdr.20170305.11
ACS Style
Mohammad A bbas Uddin. Depression of Older Persons in Rural Bangladesh. Int. J. Sustain. Dev. Res. 2017, 3(5), 47-49. doi: 10.11648/j.ijsdr.20170305.11
AMA Style
Mohammad A bbas Uddin. Depression of Older Persons in Rural Bangladesh. Int J Sustain Dev Res. 2017;3(5):47-49. doi: 10.11648/j.ijsdr.20170305.11
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Download@article{10.11648/j.ijsdr.20170305.11,
author = {Mohammad A bbas Uddin},
title = {Depression of Older Persons in Rural Bangladesh},
journal = {International Journal of Sustainable Development Research},
volume = {3},
number = {5},
pages = {47-49},
doi = {10.11648/j.ijsdr.20170305.11},
url = {https://doi.org/10.11648/j.ijsdr.20170305.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsdr.20170305.11},
abstract = {The proportion of older persons in Bangladesh is gradually increasing due to declining mortality rates and increased life expectancy. Bangladesh faces significant challenges around older persons’ health and well-being. The aim of this study was to assess older persons’ depression in two southern districts of Bangladesh and the relationship between depression and several socio-demographic characteristics. Data were collected from 280 older persons using Geriatric Depression Scale (GDS-10). Descriptive statistics were used to analyze demographic and depression data. One way classification of analysis of variance (ANOVA) was used to compare different groups of older persons with different socio-demographic characteristics. A large majority (84.3%) of participants reported having depression. Being widowed, being illiterate, the presence of disease(s), living in a nuclear family, and having a low income were found to be significant factors contributing to older persons’ depression. The identification of internal and external factors that affect older persons’ depression may inform screening and intervention programs and reduce the consequences of depression.},
year = {2017}
}
TY - JOUR T1 - Depression of Older Persons in Rural Bangladesh AU - Mohammad A bbas Uddin Y1 - 2017/10/28 PY - 2017 N1 - https://doi.org/10.11648/j.ijsdr.20170305.11 DO - 10.11648/j.ijsdr.20170305.11 T2 - International Journal of Sustainable Development Research JF - International Journal of Sustainable Development Research JO - International Journal of Sustainable Development Research SP - 47 EP - 49 PB - Science Publishing Group SN - 2575-1832 UR - https://doi.org/10.11648/j.ijsdr.20170305.11 AB - The proportion of older persons in Bangladesh is gradually increasing due to declining mortality rates and increased life expectancy. Bangladesh faces significant challenges around older persons’ health and well-being. The aim of this study was to assess older persons’ depression in two southern districts of Bangladesh and the relationship between depression and several socio-demographic characteristics. Data were collected from 280 older persons using Geriatric Depression Scale (GDS-10). Descriptive statistics were used to analyze demographic and depression data. One way classification of analysis of variance (ANOVA) was used to compare different groups of older persons with different socio-demographic characteristics. A large majority (84.3%) of participants reported having depression. Being widowed, being illiterate, the presence of disease(s), living in a nuclear family, and having a low income were found to be significant factors contributing to older persons’ depression. The identification of internal and external factors that affect older persons’ depression may inform screening and intervention programs and reduce the consequences of depression. VL - 3 IS - 5 ER -
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