Lifestyle Behaviors in Relation to Dietary Quality by Diabetes Status in U.S. Adults

Al-Ibrahim Afnan A,Jackson Robert T

doi:10.23937/2572-3278.1510040

Abstract

This study used a representative sample of U.S. adults 20+ years of age (n = 4097) using NHANES 2007-2010. Six individual lifestyle behaviors were selected as main exposure variables: Self-reported alcohol consumption, sleep adequacy, on a special diet, supplement intake, smoking status, and physical activity. Total HEI-2010 and the AHEI-2010 were used as measures of dietary quality and were calculated using data from the first 24-hour dietary recall. Multivariable Linear Regression was used to examine relationships among lifestyle behaviors independently, and in combination with total HEI-2010 and AHEI-2010 scores, after adjusting for demographic and health characteristics.

Highlights

Type 2 diabetes mellitus (T2DM) is largely preventable through positive lifestyle changes, including a good quality diet
Diabetics were more likely to report being on a special diet, taking dietary supplements, and not drinking alcohol but were less likely to report getting adequate sleep and meeting physical activity guidelines
Results indicate that being on a special diet and taking dietary supplements had the highest coefficient in relation to dietary quality for diabetics [total HEI-2010 score: β = 5.08, p = 0.0011 for on a special diet, total AHEI-2010 score: β = 3.89, p = 0.0019 for supplement intake]

Summary

Methods

This study used a representative sample of U.S adults 20+ years of age (n = 4097) using NHANES 20072010. Six individual lifestyle behaviors were selected as main exposure variables: Self-reported alcohol consumption, sleep adequacy, on a special diet, supplement intake, smoking status, and physical activity. Total HEI-2010 and the AHEI-2010 were used as measures of dietary quality and were calculated using data from the first 24-hour dietary recall. Multivariable Linear Regression was used to examine relationships among lifestyle behaviors independently, and in combination with total HEI-2010 and AHEI-2010 scores, after adjusting for demographic and health characteristics

Results

Conclusion

Introduction

Participants and Methods

Discussion