INVESTIGATION OF RELATIONSHIP BETWEEN DEMOGRAPHICS AND TYPE 2 DIABETES MORTALITY IN TWO TERTIARY HOSPITALS IN SOUTHEAST NIGERIA; EXPLORING EPIDEMIOLOGICAL DETERMINANTS

Author(s)

Ogbonna BO
NNAMDI AZIKIWE UNIVERSITY, AWKA, Nigeria

OBJECTIVES: Type 2 diabetes mellitus (T2DM) is a major cause of complications and mortality. The study examined the relationship between marital statuses, age, and death associated with T2DM to evidence-based data for pharmacoepidemiological studies. METHODS: The study was a retrospective cross sectional descriptive survey of postmortem records and death register of T2DM patients who died between January 2009 and December 2014. All the records, which met the inclusion criteria of death, associated with T2DM for patients who have been diagnosed with the disease and have been on antidiabetes medications for more than 12 months were used t increase reliability and consistency of results. Study was conducted between July and December 2015. Study was summarized using descriptive and inferential statistics. A confidence interval of P< 0.05 was considered statistically significant. RESULTS: Out of 431.0 deaths associated with T2DM, 336.0 (78.0%) were married, 49.0 (11.4%) were widows, 25.0 (5.8%) were singles while 21.0 (4.8%) were widowers. The highest T2DM mortality was recorded within the age range of 66.0- 85.0 years (44.1%), followed by 46.0- 65.0 years (31.6%) and 22-45 years (16.3%). The least group affected was those above 86 years (8.0%). Result showed that females had prevalence of 58.0% while males had 42.0%. P= 0.068 for relationship on the causes of death associated with T2DM in the two hospitals. CONCLUSIONS: Study suggested that married peoples have the highest prevalence of T2DM while T2DM patients above 65.0 years are at greatest risk of mortality associated with T2DM.

Conference/Value in Health Info

2017-05, ISPOR 2017, Boston, MA, USA

Value in Health, Vol. 20, No. 5 (May 2017)

Code

PHS108

Topic

Epidemiology & Public Health

Topic Subcategory

Disease Classification & Coding

Disease

Diabetes/Endocrine/Metabolic Disorders

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