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Published in: Diabetes Therapy 6/2017

Open Access 01-12-2017 | Original Research

Identifying Patterns of Lifestyle Behaviors among People with Type 2 Diabetes in Tianjin, China: A Latent Class Analysis

Authors: Xuying Wang, Jiageng Chen, Xiaoqian Liu, Fei Gao, Haozuo Zhao, Duolan Han, Xiyue Jing, Yuanyuan Liu, Zhuang Cui, Changping Li, Jun Ma

Published in: Diabetes Therapy | Issue 6/2017

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Abstract

Introduction

Lifestyle behaviors are essential elements of diabetes care. The aims of this study were to identify distinct subgroups of people with type 2 diabetes based on personal levels of lifestyle behaviors and explore the different characteristics across these subgroups.

Methods

In 2015 and 2016, 1504 outpatients with a diagnosis of type 2 diabetes were selected via two-stage simple random sampling from 10 municipal district hospitals in Tianjin. Participants accepted an invitation by experienced physicians to complete a questionnaire containing demographic and lifestyle content. Clinical data were collected by reviewing medical records. Latent class analysis was applied to identify patterns of lifestyle behaviors. Multinomial logistic regression was used to investigate the characteristics of the subgroups.

Results

The final model yielded a four-class solution: the healthy behavioral group, unhealthy diet and less activity group, smoking and drinking group, and sedentary and extremely inactive group. Further analysis found that variables, including age, sex, general/central obesity, treatment modalities, glycemic control, diabetes duration, and diabetes-related complications and comorbidities, were disproportionately distributed across the four latent classes (P < 0.05). Participants in the unhealthy diet and less activity group were more likely to have a longer duration of diabetes, poor glycemic control and more diabetes-related diseases relative to the other three latent classes.

Conclusions

Identification and characterization of subgroups based on lifestyle behaviors in individuals with type 2 diabetes can help health care providers to shift to targeted intervention strategies.
Appendix
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Metadata
Title
Identifying Patterns of Lifestyle Behaviors among People with Type 2 Diabetes in Tianjin, China: A Latent Class Analysis
Authors
Xuying Wang
Jiageng Chen
Xiaoqian Liu
Fei Gao
Haozuo Zhao
Duolan Han
Xiyue Jing
Yuanyuan Liu
Zhuang Cui
Changping Li
Jun Ma
Publication date
01-12-2017
Publisher
Springer Healthcare
Published in
Diabetes Therapy / Issue 6/2017
Print ISSN: 1869-6953
Electronic ISSN: 1869-6961
DOI
https://doi.org/10.1007/s13300-017-0327-7

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