A Study on Health Conditions among Retired Travelling Ticket Examiners of South Coast Railway

KADUMU VENKATA SOBHA RANI; K.V.Subba Rao

doi:10.36948/ijfmr.2026.v08i05.89532

A Study on Health Conditions among Retired Travelling Ticket Examiners of South Coast Railway

Author(s)	Dr. KADUMU VENKATA SOBHA RANI, K.V.Subba Rao
Country	India
Abstract	The health and well-being of retired railway employees are important concerns due to the increasing prevalence of chronic diseases and changing healthcare requirements with advancing age. The present study examines the health conditions and healthcare-utilization patterns among retired Travelling Ticket Examiners (TTEs) of South Coast Railway, India, using data mining techniques. The study is based on primary data collected from 157 retired TTEs through a structured questionnaire covering demographic characteristics, years of service, years after retirement, lifestyle practices, health conditions, chronic diseases, hospital utilization, healthcare expenditure, railway medical facility usage, overall health status, and health satisfaction. Descriptive statistical analysis was used to examine the distribution of major health conditions and healthcare-related characteristics. In addition, Apriori association rule mining was employed to identify co-occurrence patterns among health conditions using support and confidence. K-Means clustering was used to identify groups of respondents with similar health and healthcare-utilization characteristics. The findings indicate that diabetes, high blood pressure, and eye problems were among the frequently reported health conditions. Approximately 65% of the respondents reported their overall health status as good, while a substantial proportion reported chronic health conditions. The Apriori analysis identified meaningful associations among selected health conditions, particularly between diabetes and high blood pressure. The clustering analysis grouped the respondents into three broad health and healthcare-utilization profiles. The largest cluster represented a moderate healthcare-utilization group, while another cluster represented relatively lower healthcare utilization. The third cluster consisted predominantly of older respondents with a higher reported chronic-disease burden and greater hospital utilization. Overall, the study demonstrates the usefulness of data mining techniques in identifying health patterns, associations, and distinct healthcare-utilization profiles among retired TTEs. The findings highlight the importance of regular health screening, chronic-disease monitoring and targeted healthcare support, particularly for older retirees with greater healthcare requirements. The study provides a data-driven basis for understanding the health needs of retired railway employees and may support the development of more focused post-retirement healthcare interventions.
Keywords	Retired TTEs, South Coast Railway, Health Conditions, Data Mining, Association Rules, Clustering, Chronic Diseases.
Field	Computer Applications
Published In	Volume 8, Issue 5, September-October 2026
Published On	2026-10-12
DOI	https://doi.org/10.36948/ijfmr.2026.v08i05.89532

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A Study on Health Conditions among Retired Travelling Ticket Examiners of South Coast Railway

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