Aspects of Dietary Diversity Changes across Adulthood in Racially Diverse Adults

Nutrients. 2020 Aug 15;12(8):2455. doi: 10.3390/nu12082455.

Abstract

Knowledge of various aspects of dietary diversity (DD)-an essential healthful dietary component-across adulthood is limited. This study examined three DD aspects over time in racially diverse adults. Participants were from the National Institute on Aging, Healthy Aging in Neighborhoods of Diversity across the Life Span study. DD measures were calculated at baseline (N = 2177), and first and second examination follow-ups (N = 2140 and N = 2066, respectively) using two 24-h recalls. The count was based on the consumption of ≥50% of an equivalent from 21 food groups. Evenness was derived using the Berry-Index adjusted by the food's health value; dissimilarity, by Mahalanobis Distance. Mixed-effects linear regression models were conducted to test changes in DD across adulthood, adjusting for sex, race, poverty status and education as fixed effects, and adjusting for smoking, age and energy as time-dependent variables. Only dissimilarity showed significant interactions of time × race (p = 0.0005), and time × poverty status (p = 0.0325), indicating a slower rate of increase over time in dissimilarity scores among Whites compared with African-Americans and those with income >125% poverty versus <125% poverty. A significant interaction between time×energy (p < 0.0001) was noted for both evenness and dissimilarity scores. To our knowledge, this is the first study to document the differential change in dissimilarity scores by race and income over time.

Keywords: African–American; adults; count; dietary diversity; dissimilarity; evenness.

MeSH terms

  • Adult
  • Black or African American / statistics & numerical data*
  • Diet / statistics & numerical data*
  • Educational Status
  • Female
  • Healthy Aging
  • Humans
  • Income / statistics & numerical data
  • Male
  • Middle Aged
  • Poverty / statistics & numerical data
  • Race Factors
  • Residence Characteristics
  • Smoking / epidemiology
  • Socioeconomic Factors
  • United States / epidemiology
  • Urban Population / statistics & numerical data
  • White People / statistics & numerical data*