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Year : 2024, Volume : 24, Issue : 1
First page : ( 108) Last page : ( 112)
Print ISSN : 0972-5687. Online ISSN : 0974-083X. Published online : 2024  24.
Article DOI : 10.5958/0974-083X.2024.00018.8

Biometric fingerprinting and anemia a hospital based analytical cross sectional study

Rashid Arsalaan F1,*, Lone Reyaz2, Chisti Insha3

1Associate Professor and Head, Department of Forensic Medicine and ToxicologyGovt. Medical College, Srinagar

2Associate Professor, Department of Physiology, Govt. Medical College, Srinagar

3Senior Resident, Department of Forensic Medicine and Toxicology, Govt. Medical College, Srinagar

*Corresponding Author: Dr. Arsalaan F Rashid, Associate Professor and Head, Department of Forensic Medicine and Toxicology, Govt. Medical College, Srinagar, E-mail: afrashid@gmail.com, Contact: +919797313757

Online Published on 24 December, 2024.

Received:  30  April,  2024; :  02  May,  2024; Accepted:  02  May,  2024.

Abstract

Biometric identification on which present study is based is an accurate time saving procedure for preparation of nationwide databases, daily attendance taking of employees of governmental and non governmental institutions. Anemia is an abnormal medical condition that results from low circulating hemoglobin, an important constituent of red blood cells which deliver oxygen to all organ systems. Anemia also reflects a change in colorimetric characteristics of blood. This is important as change in blood color due to anemia may affect registering fingerprints on a biometric device.

Our study involved 101 patients having anemia in range of 6mg/dl to 8mg/dl which is categorized as severe anemia. Logistic Regression Analysis of the Relationship between Fingerprints Registration and Patient Characteristics shows a Odds ratio of 1.78, 1.18-2.68 (95% C.I.) and p value 0.006 (adjusted model) in relation to haemoglobin concentration; Odds ratio of 1, 0.96-1.03 (95% C.I.) and 0.809 p value (adjusted model) in relation to age ; Odds ratio of 0.27, 0.06-1.16 (95% C.I.) and 0.078 p value (adjusted model) in relation to male gender ; Odds ratio of 2.18 , 0.41-11.57 (95% C.I.) and 0.360 p value (adjusted model) in relation to Co morbidity. A significant p value is found in people with low haemoglobin and non registration of fingerprints on biometric devices.

This relates anemia to difficulty in registering biometric attendance which incidentally was author's observation among the frail faculty facing difficulty in registering their attendance on official biometric devices.

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Keywords

Biometric Identification, Anemia, Hemoglobin.

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