Propensity Score Matching Sports Activity of Genesis Diabetes Mellitus Using Logistic Regression

Samsinar and Soenarnatalina M., NIDN. 0025126011 and Arief Wibowo, NIDN. 0010035906 and Bambang Widjanarko Otok (2015) Propensity Score Matching Sports Activity of Genesis Diabetes Mellitus Using Logistic Regression. Journal of Applied Environmental and Biological Sciences, 7 (1). pp. 198-202. ISSN 2090-4274

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Abstract

Propensity score is the conditional probability to get a specific treatment based on the observed kovariat. Method is used to reduce the bias in the estimation of treatment effects on the data is the observation due to confounding factors. If the treatment is binary form, logistic regression model is one of the estimation of the value of the propensity score is exactly because easily in the estimation and interpretation. The purpose of this research is to examine the estimates of the propensity score match based on binary logistic regression in the case of diabetes mellitus (DM). The results of the study showed that the Genesis diabetes mellitus influenced by sports activity, triglyceride, hypertension, and obesity. While the sports activity was influenced by the triglyceride, hypertension, and obesity. So sports activity as a variable counfonding, which shows that the patient was cushioned normal triglyceride levels will sports activity of 9.335 times than that have high triglyceride. Furthermore, a person who is not hypertension will sports activity of 4.531 times than that have hypertension, and a person who does not obesity will sports activity of 14.451 times than that of obesity. The test results showed that mathing propensity score sports activity based covariat (triglycerides, hypertension and obesity) influence the genesis of diabetes mellitus.

Item Type: Article
Uncontrolled Keywords: Confounding , DM , Propensity Score match, Logistic Regression
Subjects: R Medicine > RA Public aspects of medicine > RA1-1270 Public aspects of medicine > RA1-418.5 Medicine and the state > RA407-409.5 Health status indicators. Medical statistics and surveys
Divisions: 10. Fakultas Kesehatan Masyarakat
Creators:
CreatorsNIM/NIDN
SamsinarUNSPECIFIED
Soenarnatalina M., NIDN. 0025126011UNSPECIFIED
Arief Wibowo, NIDN. 0010035906UNSPECIFIED
Bambang Widjanarko OtokUNSPECIFIED
Depositing User: Tn Chusnul Chuluq
Date Deposited: 23 Sep 2019 07:37
Last Modified: 23 Sep 2019 07:37
URI: http://repository.unair.ac.id/id/eprint/86782
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