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1860797509030379520
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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2016-05-25 12:35:07
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Restricted Document
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13024
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UniSZA
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1 Braun, B. &Aßheuer, T. Floods in megacity environments: Vulnerability and coping strategies of slum dwellers in Dhaka/Bangladesh. Nat. Hazards 2011; 58, 771–787. 2 Berman, R. J., Quinn, C. H. &Paavola, J. Identifying drivers of household coping strategies to multiple climatic hazards in Western Uganda: implications for adapting to future climate change. The Sustainability Research Institute 2014. 3 Ano, G. G. &Vasconcelles, E. B. Religious Coping and Psychological Adjustment to Stress: A Meta-Analysis. J. Clin. Psychol. 2005; 61, 461–480. 4 Brende, J. O. Coping with floods: Assessment, Intervention, and Recovery Processes for Survivors and Helpers. J. Contemp. Psychother 1998; 28, 107–139. 5 Sakijege, T., Lupala, J. &Sheuya, S. Flooding, flood risks and coping strategies in urban informal residential areas: The case of KekoMachungwa, Dar es Salaam, Tanzania. Jàmbá J. Disaster Risk Stud. 2012; 4, 1-10. 6 Srikuta, P., Inmuong, U. &Inmuong, Y. Health Impacts of Rural Flood and Community Coping Strategies in Northeast Thailand. Int. J. Curr. Reserach Acad. Rev. 1, 103–110 (2014). 7 Aslam, N. & Kamal, A. Coping Strategies as a Predictors of Psychological Distress and Post Traumatic Growth among Flood Affected Individuals. J. Alcohol. Drug Depend. 3, 1–5 (2015) 8 Abaya, S. W., Mandere, N. & Ewald, G. Floods and health in Gambella region, Ethiopia: A qualitative assessment of the strengths and weaknesses of coping mechanisms. Glob. Health Action 2009; 2, 1–11. 9 Nyakundi, H., Mogere, S., Mwanzo, I. &Yitambe, A. Community perceptions and response to flood risks in Nyando District, Western Kenya. Jàmbá J. Disaster Risk Stud. 2010; 3, 346–366. 10 Yawson, D. O. et al. A needs-based approach for exploring vulnerability and response to disaster risk in rural communities in low income countries. Australas. J. Disaster Trauma Stud. 2015; 19, 27–36. 11 Manuta, J. &Lebel, L. Climate change and the risks of flood disasters in Asia : crafting adaptive and just institution. Human Security and Climate Change: An International Workshop. 2005. 12 Yusoff, M. The Validity of the Malay Brief COPE in Identifying Coping Strategies among Adolescents in Secondary School. Int. Med. J. 2011; 18, 29–33. 13 Carver, C. S., Scheier, M. F. & Weintraub, J. K. Assessing coping strategies: a theoretically based approach. J. Pers. Soc. Psychol. 1989; 56, 267–283. 14 Pargament, K. I. & Abu Raiya, H. A decade of research on the psychology of religion and coping: Things we assumed and lessons we learned. Psyke and Logos 2007; 28, 742–766. 15 Carver, C. S. You Want to Measure Coping but Your Protocol‟s Too Long: Consider The Brief Cope. Int. J. Behav. Med. 1997; 4, 92–100. 16 MohdRadzi, H., Sipon, S., Othman, K., NikNazli, N. N. N. &AbdGhani, Z. Demographic Influence on Muslim Flood Victim Wellbeing in Flood Prone Districts in Malaysia. Int. J. Soc. Sci. Humanit. 2015; 5, 561–566. 17 Abdullah, S., Sipon, S., MohdRadzi, H. &AbdGhani, Z. Stress and Religious Coping Among Flood Victims in Malaysia. in 2015 WEI Int. Acad. Conf. Proceedings, Vienna Austria 79–87 . 18 Chan, C. S. & Rhodes, J. E. Religious Coping, Posttraumatic Stress, Psychological Distress, and Posttraumatic Growth Among Female Survivors Four Years After Hurricane Katrina. J. Trauma. Stress 2010; 23, 215–222. 19 Chan, C. S., Rhodes, J. E. & Perez, J. E. A Prospective Study of Religiousness and Psychological Distress Among Female Survivors of Hurricanes Katrina and Rita. Am J Community Psychol 2013; 18, 1199– 1216. 20 Oman, D. & Reed, D. Religion and mortality among the community-dwelling elderly. Am. J. Public Health 1998; 88, 1469–1475. 21 Thieken, A. H., Kreibich, H., Müller, M. &Merz, B. Coping with floods: preparedness, response and recovery of flood-affected residents in Germany in 2002. Hydrol. Sci. J. 2007; 52, 1016–1037. 22 Motoyoshi, T. Public Perception of Flood Risk and Community-based Disaster Preparedness. (2006). Available from: https://www.terrapub.co.jp/elibrary/nied/pdf/121.pdf (Accessed 7th October 2015).
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7336-01-FH02-FP-16-05907.jpg
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norman
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=13024
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13024 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=13024 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal image/jpeg inches 96 96 norman 1432 772 87 87 2016-05-25 12:35:07 1432x772 7336-01-FH02-FP-16-05907.jpg UniSZA Private Access The prognostic factors of diabetic retinopathy severity among type 2 diabetes mellitus in a tertiary teaching hospital Malaysian Journal of Public Health Medicine Diabetic retinopathy (DR) may result in progressive visual impairment and blindness which affects the diabetic patients‟ morbidity and quality of life significantly. The objective of this study was to determine the proportions and prognostic factors of DR severity among Type 2 diabetes mellitus patients. A cross sectional study was conducted at the Ophthalmology Clinic in a tertiary hospital using the medical record database from 2005 to 2011. A total of 216DR patients were randomly selected. The study outcome was DR severity which was classified into four grading based on the International Clinical Diabetic Retinopathy Scale. Descriptive statistics and Ordinal Logistic Regression were applied using Stata SE/11. The mean (SD) age of DR in this study was 56.06 (9.98) years old with almost equal sex ratio. Proportion of mild non proliferative diabetic retinopathy (NPDR) was 48.6% (95% CI: 40.0, 60.0), moderate NPDR was 28.2% (95%CI: 22.0, 40.0), severe NPDR was 6.9% (95% CI: 4.0, 11.0) and proliferative diabetic retinopathy (PDR) was 16.2% (95%CI: 10.0, 22.0). Diabetic patients that suffered from diabetes mellitus for more than 10 years, having nephropathy, every increased of HbA1c by 1% and higher total cholesterol were at increased risk of worsening DR.Diabetic retinopathy (DR) may result in progressive visual impairment and blindness which affects the diabetic patients‟ morbidity and quality of life significantly. The objective of this study was to determine the proportions and prognostic factors of DR severity among Type 2 diabetes mellitus patients. A cross sectional study was conducted at the Ophthalmology Clinic in a tertiary hospital using the medical record database from 2005 to 2011. A total of 216DR patients were randomly selected. The study outcome was DR severity which was classified into four grading based on the International Clinical Diabetic Retinopathy Scale. Descriptive statistics and Ordinal Logistic Regression were applied using Stata SE/11. The mean (SD) age of DR in this study was 56.06 (9.98) years old with almost equal sex ratio. Proportion of mild non proliferative diabetic retinopathy (NPDR) was 48.6% (95% CI: 40.0, 60.0), moderate NPDR was 28.2% (95%CI: 22.0, 40.0), severe NPDR was 6.9% (95% CI: 4.0, 11.0) and proliferative diabetic retinopathy (PDR) was 16.2% (95%CI: 10.0, 22.0). Diabetic patients that suffered from diabetes mellitus for more than 10 years, having nephropathy, every increased of HbA1c by 1% and higher total cholesterol were at increased risk of worsening DR. 16 2 Malaysian Public Health Physicians Association Malaysian Public Health Physicians Association 48-54 1 Braun, B. &Aßheuer, T. Floods in megacity environments: Vulnerability and coping strategies of slum dwellers in Dhaka/Bangladesh. Nat. Hazards 2011; 58, 771–787. 2 Berman, R. J., Quinn, C. H. &Paavola, J. Identifying drivers of household coping strategies to multiple climatic hazards in Western Uganda: implications for adapting to future climate change. The Sustainability Research Institute 2014. 3 Ano, G. G. &Vasconcelles, E. B. Religious Coping and Psychological Adjustment to Stress: A Meta-Analysis. J. Clin. Psychol. 2005; 61, 461–480. 4 Brende, J. O. Coping with floods: Assessment, Intervention, and Recovery Processes for Survivors and Helpers. J. Contemp. Psychother 1998; 28, 107–139. 5 Sakijege, T., Lupala, J. &Sheuya, S. Flooding, flood risks and coping strategies in urban informal residential areas: The case of KekoMachungwa, Dar es Salaam, Tanzania. Jàmbá J. Disaster Risk Stud. 2012; 4, 1-10. 6 Srikuta, P., Inmuong, U. &Inmuong, Y. Health Impacts of Rural Flood and Community Coping Strategies in Northeast Thailand. Int. J. Curr. Reserach Acad. Rev. 1, 103–110 (2014). 7 Aslam, N. & Kamal, A. Coping Strategies as a Predictors of Psychological Distress and Post Traumatic Growth among Flood Affected Individuals. J. Alcohol. Drug Depend. 3, 1–5 (2015) 8 Abaya, S. W., Mandere, N. & Ewald, G. Floods and health in Gambella region, Ethiopia: A qualitative assessment of the strengths and weaknesses of coping mechanisms. Glob. Health Action 2009; 2, 1–11. 9 Nyakundi, H., Mogere, S., Mwanzo, I. &Yitambe, A. Community perceptions and response to flood risks in Nyando District, Western Kenya. Jàmbá J. Disaster Risk Stud. 2010; 3, 346–366. 10 Yawson, D. O. et al. A needs-based approach for exploring vulnerability and response to disaster risk in rural communities in low income countries. Australas. J. Disaster Trauma Stud. 2015; 19, 27–36. 11 Manuta, J. &Lebel, L. Climate change and the risks of flood disasters in Asia : crafting adaptive and just institution. Human Security and Climate Change: An International Workshop. 2005. 12 Yusoff, M. The Validity of the Malay Brief COPE in Identifying Coping Strategies among Adolescents in Secondary School. Int. Med. J. 2011; 18, 29–33. 13 Carver, C. S., Scheier, M. F. & Weintraub, J. K. Assessing coping strategies: a theoretically based approach. J. Pers. Soc. Psychol. 1989; 56, 267–283. 14 Pargament, K. I. & Abu Raiya, H. A decade of research on the psychology of religion and coping: Things we assumed and lessons we learned. Psyke and Logos 2007; 28, 742–766. 15 Carver, C. S. You Want to Measure Coping but Your Protocol‟s Too Long: Consider The Brief Cope. Int. J. Behav. Med. 1997; 4, 92–100. 16 MohdRadzi, H., Sipon, S., Othman, K., NikNazli, N. N. N. &AbdGhani, Z. Demographic Influence on Muslim Flood Victim Wellbeing in Flood Prone Districts in Malaysia. Int. J. Soc. Sci. Humanit. 2015; 5, 561–566. 17 Abdullah, S., Sipon, S., MohdRadzi, H. &AbdGhani, Z. Stress and Religious Coping Among Flood Victims in Malaysia. in 2015 WEI Int. Acad. Conf. Proceedings, Vienna Austria 79–87 . 18 Chan, C. S. & Rhodes, J. E. Religious Coping, Posttraumatic Stress, Psychological Distress, and Posttraumatic Growth Among Female Survivors Four Years After Hurricane Katrina. J. Trauma. Stress 2010; 23, 215–222. 19 Chan, C. S., Rhodes, J. E. & Perez, J. E. A Prospective Study of Religiousness and Psychological Distress Among Female Survivors of Hurricanes Katrina and Rita. Am J Community Psychol 2013; 18, 1199– 1216. 20 Oman, D. & Reed, D. Religion and mortality among the community-dwelling elderly. Am. J. Public Health 1998; 88, 1469–1475. 21 Thieken, A. H., Kreibich, H., Müller, M. &Merz, B. Coping with floods: preparedness, response and recovery of flood-affected residents in Germany in 2002. Hydrol. Sci. J. 2007; 52, 1016–1037. 22 Motoyoshi, T. Public Perception of Flood Risk and Community-based Disaster Preparedness. (2006). Available from: https://www.terrapub.co.jp/elibrary/nied/pdf/121.pdf (Accessed 7th October 2015).
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The prognostic factors of diabetic retinopathy severity among type 2 diabetes mellitus in a tertiary teaching hospital
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| summary |
Diabetic retinopathy (DR) may result in progressive visual impairment and blindness which affects the diabetic patients‟ morbidity and quality of life significantly. The objective of this study was to determine the proportions and prognostic factors of DR severity among Type 2 diabetes mellitus patients. A cross sectional study was conducted at the Ophthalmology Clinic in a tertiary hospital using the medical record database from 2005 to 2011. A total of 216DR patients were randomly selected. The study outcome was DR severity which was classified into four grading based on the International Clinical Diabetic Retinopathy Scale. Descriptive statistics and Ordinal Logistic Regression were applied using Stata SE/11. The mean (SD) age of DR in this study was 56.06 (9.98) years old with almost equal sex ratio. Proportion of mild non proliferative diabetic retinopathy (NPDR) was 48.6% (95% CI: 40.0, 60.0), moderate NPDR was 28.2% (95%CI: 22.0, 40.0), severe NPDR was 6.9% (95% CI: 4.0, 11.0) and proliferative diabetic retinopathy (PDR) was 16.2% (95%CI: 10.0, 22.0). Diabetic patients that suffered from diabetes mellitus for more than 10 years, having nephropathy, every increased of HbA1c by 1% and higher total cholesterol were at increased risk of worsening DR.Diabetic retinopathy (DR) may result in progressive visual impairment and blindness which affects the diabetic patients‟ morbidity and quality of life significantly. The objective of this study was to determine the proportions and prognostic factors of DR severity among Type 2 diabetes mellitus patients. A cross sectional study was conducted at the Ophthalmology Clinic in a tertiary hospital using the medical record database from 2005 to 2011. A total of 216DR patients were randomly selected. The study outcome was DR severity which was classified into four grading based on the International Clinical Diabetic Retinopathy Scale. Descriptive statistics and Ordinal Logistic Regression were applied using Stata SE/11. The mean (SD) age of DR in this study was 56.06 (9.98) years old with almost equal sex ratio. Proportion of mild non proliferative diabetic retinopathy (NPDR) was 48.6% (95% CI: 40.0, 60.0), moderate NPDR was 28.2% (95%CI: 22.0, 40.0), severe NPDR was 6.9% (95% CI: 4.0, 11.0) and proliferative diabetic retinopathy (PDR) was 16.2% (95%CI: 10.0, 22.0). Diabetic patients that suffered from diabetes mellitus for more than 10 years, having nephropathy, every increased of HbA1c by 1% and higher total cholesterol were at increased risk of worsening DR.
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| title |
The prognostic factors of diabetic retinopathy severity among type 2 diabetes mellitus in a tertiary teaching hospital
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| title_full |
The prognostic factors of diabetic retinopathy severity among type 2 diabetes mellitus in a tertiary teaching hospital
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| title_fullStr |
The prognostic factors of diabetic retinopathy severity among type 2 diabetes mellitus in a tertiary teaching hospital
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| title_full_unstemmed |
The prognostic factors of diabetic retinopathy severity among type 2 diabetes mellitus in a tertiary teaching hospital
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| title_short |
The prognostic factors of diabetic retinopathy severity among type 2 diabetes mellitus in a tertiary teaching hospital
|
| title_sort |
prognostic factors of diabetic retinopathy severity among type 2 diabetes mellitus in a tertiary teaching hospital
|