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Multiple Logistic Regression Analysis on the Health Checkup Data and the Lifestyle Habits of Medicated Residents: A Population-Based Cohort Study | OMICS International | Abstract
ISSN: 2471-9846

Journal of Community & Public Health Nursing
Open Access

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Research Article

Multiple Logistic Regression Analysis on the Health Checkup Data and the Lifestyle Habits of Medicated Residents: A Population-Based Cohort Study

Kotomi Akahoshi* and Michiaki Kai

Oita University of Nursing and Health Sciences, 2944-9 Megusuno, Oita-ken 870-1201, Japan

*Corresponding Author:
Kotomi Akahoshi
Oita University of Nursing and Health Sciences
2944-9 Megusuno, Oita-ken 870-1201, Japan
Tel: +81-97-586-4456
E-mail: akahoshi@oita-nhs.ac.jp

Received date: July 12, 2016; Accepted date: July 29, 2016; Published date: August 05, 2016

Citation: Akahoshi K, Michiaki Kai M (2016) Multiple Logistic Regression Analysis on the Health Checkup Data and the Lifestyle Habits of Medicated Residents: A Population-Based Cohort Study. J Comm Pub Health Nursing 2:132. doi:10.4172/2471- 9846.1000132

Copyright: © 2016 Akahoshi K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: The residents currently taking prescribed medication have been exempted from the special public health guidance conducted in the act in Japan. This study analyzed blood pressure taken during the special health checks from 2008 to 2011 in light of resident lifestyle, focusing on comparisons between medicated and non-medicated residents.

Methods: Health checkup data in retrospective cohort of 4,734 residents undergoing special health checks in B-City from 2008 to 2011 were analyzed. The participants were categorized as taking medication (medicated residents, n=1,083) and others (non-medicated residents, n=3,651). The multiple logistic regression analysis provided odds ratios (ORs) and 95% confidence intervals (95% CI).

Results: The medicated residents had higher systolic and diastolic blood pressure than the non-medicated in both 2008 and 2011. Factors on which the OR was significantly higher for the hypertension group (normal blood pressure group=1) were alcohol consumption (OR: 1.30 (95% CI: 1.12-1.50)), and weight gain (OR: 1.45 (95% CI: 1.26-1.67)). Factors on which the OR was significantly higher for the diabetes mellitus group (normal blood glucose group=1) were smoking (OR: 3.14 (95% CI:1.69-5.80)). Factors on which the OR was significantly higher for the neutral fat high-flying group (normal neutral fat group=1) were alcohol consumption (OR: 1.30 (95% CI: 1.12-1.50)) and weight gain (OR: 1.45 (95% CI: 1.26-1.67)). Compared to the group with hypertension only, the group with multiple conditions who consumed alcohol in both 2008 and 2011 had an OR of 1.49 (95% CI: 1.29-1.72), and those who had weight gain of 10 kg had an OR of 1.74 (95% CI: 1.50-2.02).

Conclusion: No improvement was found in the lifestyle habits of medicated residents. This study suggested that an appropriate health guidance will be needed to improve the lifestyle habits in medicated residents.

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