IDENTIFYING SOME RISK FACTORS FOR THE TIME TO DEATH OF THE ELDERLY USING THE SEMI- PARAMETRIC BLENDED MODEL OF SURVIVAL ANALYSIS WITH COMPETING RISKS

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HAJIABBASI SAMANE; RAHGOZAR MEHDI; BIGLARIAN AKBAR; JALALI ARASH; AZADCHEHR MOHAMMAD JAVAD

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Journal: Salmand: Iranian Journal of Ageing Year:2018 | Volume:12 | Issue:4 Page(s): 518-520

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Title

IDENTIFYING SOME RISK FACTORS FOR THE TIME TO DEATH OF THE ELDERLY USING THE SEMI- PARAMETRIC BLENDED MODEL OF SURVIVAL ANALYSIS WITH COMPETING RISKS

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AGINGQ2

SEMIPARAMETRIC BLENDED MODELQ1

COMPETING RISKSQ1

SURVIVAL ANALYSISQ1

Abstract

Objectives: As the population of elderly people in Iran is rising, determining the risk factors of their death is necessary. The purpose of this study was to identify the risk factors that reduce the survival time of elderly people.Methods & Materials: In a longitudinal retrospective study, data of 510 elderly people aged over 60 years, who were admitted to Kashan’s Golabchi nursing home from 2000 to 2012 were collected and analyzed. To identify some risk factors of time to death in elderly, semi-parametric mixture competing risk model in SURVIVAL ANALYSIS was fitted to the data. To estimate the model parameters, Expand-Maximize-Compress (EMC) algorithm was used and parameters and their 95% confidence intervals were estimated using R software (version 3.3.1).Results: In separate one-variable fitted models, the variables like high blood lipids (HR=1.04; CI=1.00, 1.31), history of myocardial infarction (HR=0.90; CI=1.04, 1.10), stroke history (HR=0.95; CI=1.00, 1.14), and deaths of elderly people with cardiovascular diseases were significant. In the fitted multivariate model, renal problems had a significant effect (HR=1.58; CI=1.77, 2.83) on time to death of elderly.Conclusion: In single-variable fitting, age, history of myocardial infarction, history of stroke, and kidney problems were identified to have significant effects on the time to death of the elderly. Based on one-variable semi-parametric competing risk mixture fitted models, more significant risk factors for the time to death of elderly was identified when compared with a fitted multivariate mode to the data. This implies that the role of some independent variables can be explained by other independent variables.

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APA: Copy

HAJIABBASI, SAMANE, RAHGOZAR, MEHDI, BIGLARIAN, AKBAR, JALALI, ARASH, & AZADCHEHR, MOHAMMAD JAVAD. (2018). IDENTIFYING SOME RISK FACTORS FOR THE TIME TO DEATH OF THE ELDERLY USING THE SEMI- PARAMETRIC BLENDED MODEL OF SURVIVAL ANALYSIS WITH COMPETING RISKS. IRANIAN JOURNAL OF AGEING, 12(4), 518-520. SID. https://sid.ir/paper/356309/en

Vancouver: Copy

HAJIABBASI SAMANE, RAHGOZAR MEHDI, BIGLARIAN AKBAR, JALALI ARASH, AZADCHEHR MOHAMMAD JAVAD. IDENTIFYING SOME RISK FACTORS FOR THE TIME TO DEATH OF THE ELDERLY USING THE SEMI- PARAMETRIC BLENDED MODEL OF SURVIVAL ANALYSIS WITH COMPETING RISKS. IRANIAN JOURNAL OF AGEING[Internet]. 2018;12(4):518-520. Available from: https://sid.ir/paper/356309/en

IEEE: Copy

SAMANE HAJIABBASI, MEHDI RAHGOZAR, AKBAR BIGLARIAN, ARASH JALALI, and MOHAMMAD JAVAD AZADCHEHR, “IDENTIFYING SOME RISK FACTORS FOR THE TIME TO DEATH OF THE ELDERLY USING THE SEMI- PARAMETRIC BLENDED MODEL OF SURVIVAL ANALYSIS WITH COMPETING RISKS,” IRANIAN JOURNAL OF AGEING, vol. 12, no. 4, pp. 518–520, 2018, [Online]. Available: https://sid.ir/paper/356309/en

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