Organic food consumption is associated with inflammatory biomarkers among older adults

2020 ◽  
pp. 1-26
Author(s):  
Elizabeth Ludwig-Borycz ◽  
Heidi M. Guyer ◽  
Abeer A. Aljahdali ◽  
Ana Baylin

Abstract Objective: The association between organic food consumption and biomarkers of inflammation, c-reactive protein (CRP) and cystatin C (CysC), were explored in this cross-sectional analysis of older adults. Design: Dietary data and organic food consumption was collected in 2013 from a Food Frequency Questionnaire (FFQ). Alternative Mediterranean diet score (A-MedDiet) was calculated as a measure of healthy eating. Biomarkers CRP and CysC were collected in serum or plasma in 2016. We used linear regression models to assess the associations between organic food consumption and CRP and CysC. Setting: This cross-sectional analysis uses data from the nationally representative, longitudinal panel study of Americans over 50, the Health and Retirement Study (HRS). Participants: The mean age of the analytic sample (n=3,815) was 64.3(SE 0.3) years with 54.4% being female. Results: Log CRP and log CysC were inversely associated with consuming organic food after adjusting for potential confounders (CRP: β= -0.096, 95% CI=(-0.159, -0.033)]; CysC: β=-0.033, 95% CI=(-0.051, -0.015)]. Log CRP maintained statistical significance [β=-0.080; 95% CI=(-0.144, -0.016)] after additional adjustments for the A-MedDiet, while log CysC lost statistically significant [β=-0.019; 95% CI=(-0.039, 0.000)]. The association between organic food consumption and log CRP was driven primarily by milk, fruit, vegetables, and cereals while log CysC was primarily driven by milk, eggs, and meat after adjustments for A-MedDiet. Conclusions: These findings support the hypothesis that organic food consumption is inversely associated with biomarkers of inflammation CRP and CysC, although residual confounding by healthy eating and socioeconomic status cannot be ruled out.

2017 ◽  
Vol 8 ◽  
pp. 190-196 ◽  
Author(s):  
Louise Seconda ◽  
Sandrine Péneau ◽  
Marc Bénard ◽  
Benjamin Allès ◽  
Serge Hercberg ◽  
...  

2020 ◽  
pp. 1-8 ◽  
Author(s):  
Krystle E Zuniga ◽  
Nicholas J Bishop ◽  
Alexandria S Turner

Abstract Objective: The purpose of the study was to examine the association between dietary lutein and zeaxanthin (L + Z) intake and immediate word recall (IWR) and delayed word recall (DWR), and to identify the major contributors to dietary L + Z intake in a recent and representative sample of the older US population. Design: In this cross-sectional analysis, multivariate path analytic models estimated the association between L + Z consumption and cognitive performance while adjusting for covariates. Setting: Observations were drawn from the 2014 Health and Retirement Study, a nationally representative panel study of older US adults, and the 2013 Health Care and Nutrition Study, which assessed dietary intake via FFQ in a subsample of respondents. Participants: The analytic sample included 6390 respondents aged ≥50 years. Results: L + Z intake was 2·44 ± 2·32 mg/d on average, and L + Z intake differed significantly across quartiles (P < 0·001). For example, average L + Z intake in Q1 was 0·74 ± 0·23 mg/d and in Q4 was 5·46 ± 2·88 mg/d. In covariate adjusted models, older adults in the highest quartiles of L + Z intake had significantly greater IWR and DWR scores than those in the lowest quartile. Leafy vegetables, cruciferous vegetables, dark yellow vegetables, fish and seafood, legumes, eggs and fruit were significant and meaningful predictors of dietary L + Z intake. Conclusion: A high consumption of vegetables, fish and seafood, legumes, eggs and fruit is associated with a higher intake of L + Z and greater word recall among older adults.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 205-205
Author(s):  
Sharmin Hossain ◽  
May A Beydoun ◽  
Michele K Evans ◽  
Alan B Zonderman ◽  
Marie Fanelli Kuczmarski

Abstract Objectives Prior studies on caregivers have focused mainly on the diet quality of their recipients, especially children. We investigated both cross-sectional and longitudinal associations of caregiver status and diet quality in older adults (mean 53.0 ± 9.0 years). Methods We studied participants in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (57.7% women, 62% African American) between wave 3 (2009–2013) and wave 4 (2013–2018). Caregiving was assessed at both waves, starting at wave 3. Healthy Eating Index-2010 (HEI2010) score, a measure of diet quality, was assessed from two 24-hour recalls at each wave on both occasions (mean 4.1 years follow-up). Baseline caregiving (at wave 3) was examined in relation to change in HEI between waves 3 and 4. Multivariable linear regression was performed for cross-sectional analysis; mixed-effects regression was performed for longitudinal analyses. Results are expressed as β-coefficients ± standard error of means (β±SE). Results After adjusting for age, sex, race and poverty status, more time spent taking care of grandchildren (N = 2033) was associated with poor diet quality (–1.51 ± 0.55, P = 0.006) in cross-sectional analysis (wave 4 caregiving and wave 4 HEI). However, in a separate cross-sectional analysis (wave 4 only) on dual (caring for both grandchildren and an elderly person) vs. single caregivers (either grandchildren or elderly) (N = 73; 24 men & 49 women) we found no difference in diet quality. The longitudinal analyses (N = 1848) demonstrated that diet quality did not change with caregiving over time for either grandchildren (P = 0.16) or others (not children & grandchildren) (P = 0.88). Overall, women tended to have better quality diet (P &lt; 0.001) than men. Conclusions Among relatively older caregivers, cross-sectional analyses revealed an inverse effect of caregiving with diet quality. Longitudinal research is needed to evaluate the temporal associations of dual caregiving with subsequent diet quality changes over time. Funding Sources The first author is supported by a Postdoctoral Fellowship from the Intramural Research Program (IRP) at the National Institute on Aging (NIA). HANDLS is supported by the Intramural Research Program, National Institute on Aging, National Institutes of Health, grant Z01-AG000513.


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