Korean J Fam Med.  2013 Sep;34(5):334-346. 10.4082/kjfm.2013.34.5.334.

Relationships between Dietary Habits and Allostatic Load Index in Metabolic Syndrome Patients

Affiliations
  • 1Department of Family Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea. kabbey@hanmail.net

Abstract

BACKGROUND
Allostatic load (AL) measures overall physiological wear and tear on one's body, as a preclinical marker of pathophysiologic processes that precede the onset of disease. We studied the association of dietary habits with AL.
METHODS
Consecutive patients visiting a tertiary hospital Health Promotion Center from September 2009 to February 2010, older than 20 years with metabolic syndrome were selected for study (n = 204). By multivariable linear regression analysis, we investigated the association of various dietary habits evaluated by questionnaires.
RESULTS
In male, multivariable linear regression showed a significant negative association between fat preference and AL with BMI > or = 30 (1st quartile [Q] vs. 2Q: beta = -3.71; 95% confidence interval [CI], -6.26 to -1.16), a significant negative association between salt preference and AL with BMI 25-30 (beta = -1.36; 95% CI, -2.46 to -0.26), a negative association between appetite control and AL with BMI < 25 (1Q vs. 3Q: beta = -1.54; 95% CI, -3.00 to -0.096), a significant positive association between appetite control and AL with BMI 25-30 (1Q vs. 3Q: beta = 1.30; 95% CI, 0.12 to 2.48), and a significant positive association between eating in response to food cues and AL in males with BMI 25-30 (1Q vs. 4Q: beta = 1.09; 95% CI, 0.020 to 2.15).
CONCLUSION
Our results suggest that metabolic syndrome patients should be discouraged from eating fat and eating in response to food cues, and should be educated about nutrition and balanced diet.

Keyword

Allostasis; Metabolic Syndrome; Food Habits; Food Preferences

MeSH Terms

Allostasis
Appetite
Cues
Diet
Eating
Food Habits
Food Preferences
Health Promotion
Humans
Linear Models
Male
Tertiary Care Centers
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