The objective of the present study was to investigate the economic consequences of non-communicable diseases of adults at household level. According to the objective of the study the analysis was done using data collected from 808 adults of Bangladesh who were investigated by some doctors and nurses from and nearby their working places. Among these adults 49.6 percent were suffering from at least one of the non-communicable diseases. The most common non-communicable disease was diabetes. The percentage of exclusive diabetic patients among NCDs affected adults was 55.9 followed by diabetic-cum-heart (14.0%) and diabetic- cum- kidney (9.5%) patients. The percentage of admitted NCDs patients in hospital was 71.1 and they were treated for, on an average, 4.72 days incurring an opportunity loss of 37.75 working hours. The economic loss per month for treatment was Tk.3030.21. This economic loss was 4.04 percent of the monthly family income. The economic loss and the opportunity loss due to hospital admission was the economic burden to the individual household.
| Published in | American Journal of Data Mining and Knowledge Discovery (Volume 4, Issue 2) |
| DOI | 10.11648/j.ajdmkd.20190402.12 |
| Page(s) | 63-69 |
| Creative Commons |
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. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Obesity, Non-communicable Diseases, Economic Loss, Opportunity Loss, Economic Burden
| [1] | Zhang, Q. L.; Rothon bacher, D. (2008): Prevalence of kidney disease in population –based studies: Systematic review, BMC Public Health, 8, 117. doi: 10.1186/1471-2458-117. |
| [2] | WHO (2018): Fact sheets / detail/obesity-and-overweight: February 2018, http//www.who.it/news-room. |
| [3] | International Diabetes Federation (IDF) (2011): Country estimates table, IDF Diabetes atlas, 6th edition. |
| [4] | Saquib, N.; Saquib, J.; Ahmed, T,; Khanam, M. A.; Cullen, M. R. (2012): Cardiovascular diseases and type II diabetes in Bangladesh: a systematic review and meta- analysis of studies between 1995-2010, BMC Public Health, 12, 434. |
| [5] | Bhuyan, K. C.; Ahmed, Md. M. and Fardus, J. (2017): Socioeconomic factors associated with overweight an obesity: A case study among adult people of Bangladesh, AJSE, 16 (2), 119-124. |
| [6] | Bhuyan, K. C.; Fardus, J. and Khanam, M. (2016): Discriminating the students of universities by their smoking habit, AJSE, 15 (1). |
| [7] | WHO (2005): Preventing chronic diseases a vital investment cataloguing –in- publication data, World Health Organization. |
| [8] | Abegunde, D. O. and Stanciole, A. (2006): An estimation of the economic impact of chronic non-communicable diseases in selected countries. WH O Working Paper, Geneva, World Health Organization, Department of Chronic Diseases and Health Promotion. |
| [9] | Abegunde, D. O.; Mathers, C. D; Adam, T; Ortegon, M. and Strong, K. (2007): The burden and costs of chronic diseases in low-income and middle-income countries, Lancet, 370 (9603), 1929-1938. |
| [10] | Mayer-Foulkes, D. (2011): A survey of Macro Damages from Non-Communicable Chronic Diseases: Another Challenges for Global Governance, Global Economy Journal, 11 (1). |
| [11] | Nikolic, I. A.; Stanciole, A. E. and Zaydman, M. (2011): Chronic Emergency: Why NCDs matter, Washington, D. C., World Bank. |
| [12] | Suhrcke, M; Nugent, R. A.; Stuckler, D. and Rocco, L. (2006): Chronic Disease: An Economic Perspective. Oxford, U.K.: Oxford Health Alliance. |
| [13] | Chow, K.; Teo, K. K. Rangarajon et al (2013): Prevalence, awareness, treatment and control of hypertension in urban and rural communities in high -, middle-and low-income countries, JAMA, 310, 959-968. |
| [14] | Kundu, M. K.; Hazra, S.; Pal, D. and Bhattacharya, M. (2018): A review of non-communicable diseases burden, its socioeconomic impact and the strategies for prevention and control of NCDs in India, Indian Journal Public Health, 62 (4), 302-304. doi: 10.4103/ijph.IJPH_324_16. |
| [15] | Saito, E.; Gilmour, S.; rahaman, M. M.; Gautam, G. S.; Shrestha, P. K. and Shibuya, K. (2014): Catastrophic household expenditure on health in Nepal: A cross-sectional survey. Bull. World Health Organization, 92, 760-767. |
| [16] | seema, R.; Marryam, T.; Fadzai, M.; Tinatsei, C.; Tiisetsl, M. and Sunith, S. (2015): Economics of non-communicable diseases: Case study of South Africa and India, Indian Journal of Pharmacy Ptactice, 8 (3), 90-97. doi: 10.5530/ijopp.8.3.2. |
| [17] | Alan, K. and Mahal, A. (2014): economic impacts of health shocks on households in low- and middle-income countries: A review of the literature, Global Health, 10, 21. |
| [18] | Engelgau, M. M; Karan. A. and Mahal, A. (2012): The economic impact of NCDs on household in India, Global Health, 8, 9. |
| [19] | Bhuyan, K. C. and Fardus, J. (2019): level of obesity and socioeconomic factors of a group of adult people of Bangladesh: A factor analysis approach, Amer, Jour. Data Mining and Knowledge Discovery, 4 (1), 8-14, doi: 10.11648/j.ajdmkd.20190401.12. |
| [20] | Paymane, A. and Miranda, P. (2018): Images of measurements of obesity, BMJ, 360. doi: https// doi.org/10.1136/method bmj.k.1274. |
| [21] | Mokdad, A. H.; Ford, E. S.; Bowman, B. A.; Dietz, W. H.; Vinicor, F.; Bales, V. S. et al (2003): Prevalence of obesity, diabetes, and obesity-related health risk factors 2001, JAMA, 289, 76-79. |
| [22] | Akter, S.; Rahaman, M. M.; Sarah, K. A.; and Sultan, P. (2014): Prevalence of diabetes and pre-diabetes and their risk factors among Bangladeshi adults: A Nationwide survey, Bulletin of the WHO, 92, 204-213 A. |
| [23] | Bhuiyan, D. and Bhuyan, K. C. (2019): Discriminating Bangladeshi Adults by Non-Communicable Diseases, Rehibilitation Science, 4 (3), 33-43, doi: 10.1168/j.rs.20190430.11 |
| [24] | BBS (2017): Bangladesh Statistics-2, Bangladesh Bureau of Statistics, Dhaka. |
APA Style
Bhuyan Keshab Chandra. (2019). Economic Consequences of Non-Communicable Diseases at Household Level: A Case Study Among Adults of Some Households in Bangladesh. American Journal of Data Mining and Knowledge Discovery, 4(2), 63-69. https://doi.org/10.11648/j.ajdmkd.20190402.12
ACS Style
Bhuyan Keshab Chandra. Economic Consequences of Non-Communicable Diseases at Household Level: A Case Study Among Adults of Some Households in Bangladesh. Am. J. Data Min. Knowl. Discov. 2019, 4(2), 63-69. doi: 10.11648/j.ajdmkd.20190402.12
AMA Style
Bhuyan Keshab Chandra. Economic Consequences of Non-Communicable Diseases at Household Level: A Case Study Among Adults of Some Households in Bangladesh. Am J Data Min Knowl Discov. 2019;4(2):63-69. doi: 10.11648/j.ajdmkd.20190402.12
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Download@article{10.11648/j.ajdmkd.20190402.12,
author = {Bhuyan Keshab Chandra},
title = {Economic Consequences of Non-Communicable Diseases at Household Level: A Case Study Among Adults of Some Households in Bangladesh},
journal = {American Journal of Data Mining and Knowledge Discovery},
volume = {4},
number = {2},
pages = {63-69},
doi = {10.11648/j.ajdmkd.20190402.12},
url = {https://doi.org/10.11648/j.ajdmkd.20190402.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20190402.12},
abstract = {The objective of the present study was to investigate the economic consequences of non-communicable diseases of adults at household level. According to the objective of the study the analysis was done using data collected from 808 adults of Bangladesh who were investigated by some doctors and nurses from and nearby their working places. Among these adults 49.6 percent were suffering from at least one of the non-communicable diseases. The most common non-communicable disease was diabetes. The percentage of exclusive diabetic patients among NCDs affected adults was 55.9 followed by diabetic-cum-heart (14.0%) and diabetic- cum- kidney (9.5%) patients. The percentage of admitted NCDs patients in hospital was 71.1 and they were treated for, on an average, 4.72 days incurring an opportunity loss of 37.75 working hours. The economic loss per month for treatment was Tk.3030.21. This economic loss was 4.04 percent of the monthly family income. The economic loss and the opportunity loss due to hospital admission was the economic burden to the individual household.},
year = {2019}
}
TY - JOUR T1 - Economic Consequences of Non-Communicable Diseases at Household Level: A Case Study Among Adults of Some Households in Bangladesh AU - Bhuyan Keshab Chandra Y1 - 2019/11/19 PY - 2019 N1 - https://doi.org/10.11648/j.ajdmkd.20190402.12 DO - 10.11648/j.ajdmkd.20190402.12 T2 - American Journal of Data Mining and Knowledge Discovery JF - American Journal of Data Mining and Knowledge Discovery JO - American Journal of Data Mining and Knowledge Discovery SP - 63 EP - 69 PB - Science Publishing Group SN - 2578-7837 UR - https://doi.org/10.11648/j.ajdmkd.20190402.12 AB - The objective of the present study was to investigate the economic consequences of non-communicable diseases of adults at household level. According to the objective of the study the analysis was done using data collected from 808 adults of Bangladesh who were investigated by some doctors and nurses from and nearby their working places. Among these adults 49.6 percent were suffering from at least one of the non-communicable diseases. The most common non-communicable disease was diabetes. The percentage of exclusive diabetic patients among NCDs affected adults was 55.9 followed by diabetic-cum-heart (14.0%) and diabetic- cum- kidney (9.5%) patients. The percentage of admitted NCDs patients in hospital was 71.1 and they were treated for, on an average, 4.72 days incurring an opportunity loss of 37.75 working hours. The economic loss per month for treatment was Tk.3030.21. This economic loss was 4.04 percent of the monthly family income. The economic loss and the opportunity loss due to hospital admission was the economic burden to the individual household. VL - 4 IS - 2 ER -
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