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Relationships between lifestyle patterns and cardio-renal-metabolic parameters in patients with type 2 diabetes mellitus: A cross-sectional study.

Relationships between lifestyle patterns and cardio-renal-metabolic parameters in patients with type 2 diabetes mellitus: A cross-sectional study.
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Ogihara T, Mita T, Osonoi Y, Osonoi T, Saito M, Tamasawa A, Nakayama S, Someya Y, Ishida H, Gosho M, Kanazawa A, Watada H,


Ogihara T, Mita T, Osonoi Y, Osonoi T, Saito M, Tamasawa A, Nakayama S, Someya Y, Ishida H, Gosho M, Kanazawa A, Watada H, (click to view)

Ogihara T, Mita T, Osonoi Y, Osonoi T, Saito M, Tamasawa A, Nakayama S, Someya Y, Ishida H, Gosho M, Kanazawa A, Watada H,

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PloS one 2017 03 0812(3) e0173540 doi 10.1371/journal.pone.0173540
Abstract
INTRODUCTION
While individuals tend to show accumulation of certain lifestyle patterns, the effect of such patterns in real daily life on cardio-renal-metabolic parameters remains largely unknown. This study aimed to assess clustering of lifestyle patterns and investigate the relationships between such patterns and cardio-renal-metabolic parameters.

PARTICIPANTS AND METHODS
The study participants were 726 Japanese type 2 diabetes mellitus (T2DM) outpatients free of history of cardiovascular diseases. The relationship between lifestyle patterns and cardio-renal-metabolic parameters was investigated by linear and logistic regression analyses.

RESULTS
Factor analysis identified three lifestyle patterns. Subjects characterized by evening type, poor sleep quality and depressive status (type 1 pattern) had high levels of HbA1c, alanine aminotransferase and albuminuria. Subjects characterized by high consumption of food, alcohol and cigarettes (type 2 pattern) had high levels of γ-glutamyl transpeptidase, triglycerides, HDL-cholesterol, blood pressure, and brachial-ankle pulse wave velocity. Subjects characterized by high physical activity (type 3 pattern) had low uric acid and mild elevation of alanine aminotransferase and aspartate aminotransferase. In multivariate regression analysis adjusted by age, gender and BMI, type 1 pattern was associated with higher HbA1c levels, systolic BP and brachial-ankle pulse wave velocity. Type 2 pattern was associated with higher HDL-cholesterol levels, triglycerides, aspartate aminotransferase, ɤ- glutamyl transpeptidase levels, and diastolic BP.

CONCLUSIONS
The study identified three lifestyle patterns that were associated with distinct cardio-metabolic-renal parameters in T2DM patients.

TRIAL REGISTRATION
UMIN000010932.

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