scholarly journals Health Literacy Is Associated with Healthy Eating Index Scores and Sugar-Sweetened Beverage Intake: Findings from the Rural Lower Mississippi Delta

2011 ◽  
Vol 111 (7) ◽  
pp. 1012-1020 ◽  
Author(s):  
Jamie Zoellner ◽  
Wen You ◽  
Carol Connell ◽  
Renae L. Smith-Ray ◽  
Kacie Allen ◽  
...  
2011 ◽  
Vol 25 (S1) ◽  
Author(s):  
Jessica Lee Thomson ◽  
Carol Connell ◽  
Lisa M Tussing‐Humphreys ◽  
Stephen J Onufrak ◽  
Jamie M Zoellner ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 251 ◽  
Author(s):  
Marissa Shams-White ◽  
Kenneth Chui ◽  
Patricia Deuster ◽  
Nicola McKeown ◽  
Aviva Must

Military researchers utilize a five-item healthy eating score (HES-5) in the Global Assessment Tool (GAT) questionnaire to quickly assess the overall diet quality of military personnel. This study aimed to modify the HES-5 to improve its validity relative to the 2015 Healthy Eating Index (HEI-2015) in active duty military personnel (n = 333). A food frequency questionnaire was used to calculate HEI-2015 scores and to assess sugar-sweetened beverage (SSB) intake in 8-oz (SSB-8) and 12-oz servings. GAT nutrition questions were used to calculate HES-5 scores and capture breakfast and post-exercise recovery fueling snack (RFsnack) frequencies. Two scoring options were considered for the highest RFsnack category: “4” vs. “5” (RFsnack-5). Potential candidates were added alone and in combination to the HES-5 and compared to the HEI-2015 with a Pearson correlation coefficient. Scores with the highest correlations were compared via a z-score equation to identify the simplest modification to the HES-5. Correlations between HES-5 and HEI-2015 scores in total participants, males, and females were 0.41, 0.45 and 0.32, respectively. Correlations were most significantly improved in total participants by adding RFsnack-5, SSB-8, RFsnack-5 + SSB-8, and RFsnack-5 + SSB-8 + breakfast, though the addition of SSB-8 + RFsnack-5 performed best (r = 0.53). Future work should consider scoring mechanisms, serving sizes, and question wording.


2020 ◽  
Vol 27 (4) ◽  
pp. 150-153
Author(s):  
Angela M. Jackson-Morris

Reducing sugar-sweetened beverage (SSB) consumption is a prominent strategy to reduce sugar intake and non-communicable disease (NCD) risk worldwide. Recommended measures encompass policy, environmental modification, health literacy, reformulation and taxation. This commentary draws from an intervention to reduce SSB consumption in a remote, rural context with high intake and under-developed alternatives and health literacy. The island of St Helena introduced SSB taxation from 2014, yet impact appeared limited. In 2018, supply and demand measures for substitute products were developed, alongside a taxation increase. Preliminary data indicate a shift away from SSB towards non-sugar beverages (artificially sweetened beverages (ASB) and tap water). Issues for global health promotion include the specific manifestation of social and commercial determinants of health in remote and rural contexts, integrated multifaceted strategies to provide supporting conditions for policies such as SSB taxation to deliver impact, and the role of ASB to reduce SSB in high consumption contexts.


2015 ◽  
Vol 19 (3) ◽  
pp. 429-436 ◽  
Author(s):  
Valisa E Hedrick ◽  
Brenda M Davy ◽  
Grace A Wilburn ◽  
A Hope Jahren ◽  
Jamie M Zoellner

AbstractObjectiveThe δ13C value of human blood is an emerging novel biomarker of added sugar (AS) intake for adults. However, no free-living, community-based assessments of comparative validity of this biomarker have been conducted. The purpose of the present investigation was to determine if Healthy Eating Index-2010 (HEI-2010) score, SoFAAS score (HEI-2010 sub-component for solid fat, alcohol and AS), AS and sugar-sweetened beverage (SSB) intakes were associated with δ13C value of fingerstick blood in a community-based sample of adults, while controlling for relevant demographics.DesignA cross-sectional analysis of data obtained from assessments of BMI, dietary intake using 24 h recalls and a fingerstick blood sample was completed. Statistical analyses included descriptive statistics, multiple linear regression and one-way ANOVA.SettingRural Southwest Virginia, USA.SubjectsAdults (n 216) aged >18 years who consumed at least 837 kJ/d (200 kcal/d) from SSB.ResultsThis sample of adult participants with low socio-economic status demonstrated a mean HEI-2010 score of 43·4 (sd 12·2), mean SoFAAS score of 10·2 (sd 5·7), mean AS intake of 93 (sd 65) g/d and mean blood δ13C value of −18·88 (sd 0·7) ‰. In four separate regression models, HEI-2010 (R2=0·16), SoFAAS (R2=0·19), AS (R2=0·15) and SSB (R2=0·14) predicted δ13C value (all P≤0·001). Age was also predictive of δ13C value, but not sex or race.ConclusionsThese findings suggest that fingerstick δ13C value has the potential to be a minimally invasive method for assessing AS and SSB intake and overall dietary quality in community-based settings. Strengths, limitations and future areas of research for using an objective δ13C biomarker in diet-related public health studies are discussed.


2021 ◽  
pp. 1-23
Author(s):  
Brittany A. McCormick ◽  
Kathleen J. Porter ◽  
Wen You ◽  
Maryam Yuhas ◽  
Annie L. Reid ◽  
...  

Abstract Objective: The objective of this study was to identify factors across the socioecological model (SEM) associated with adolescents’ sugar-sweetened beverage (SSB) intake. Design: This cross-sectional study surveyed adolescents using previously validated instruments. Analyses included descriptive statistics, ANOVA tests, and stepwise nonlinear regression models (i.e., two-part models) adjusted to be cluster robust. Guided by SEM, a 4-step model was used to identify factors associated with adolescent SSB intake - Step 1: demographics (i.e., age, gender), Step 2: intrapersonal [i.e., Theory of Planned Behavior (attitudes, subjective norms, perceived behavioral control, behavioral intentions), health literacy, media literacy, public health literacy], Step 3: interpersonal (i.e., caregiver’s SSB behaviors, caregiver’s SSB rules), and Step 4: environmental (i.e., home SSB availability) level variables. Setting: Eight middle schools across four rural southwest Virginia counties in Appalachia Participants: 790 7th grade students [55.4% female, 44.6% males, mean age 12 (SD=0.5) years]. Results: Mean SSB intake was 36.3 (SD=42.5) fluid ounces or 433.4 (SD=493.6) calories per day. In the final step of the regression model, seven variables significantly explained adolescent’s SSB consumption: behavioral intention (p < 0.05), affective attitude (p<0.05), perceived behavioral control (p<0.05), health literacy (p<0.001), caregiver behaviors (p<0.05), caregiver rules (p<0.05), and home availability (p<0.001). Conclusions: SSB intake among adolescents in rural Appalachia was nearly three times above national mean. Home environment was the strongest predictor of adolescent SSB intake, followed by caregiver rules, caregiver behaviors, and health literacy. Future interventions targeting these factors may provide the greatest opportunity to improve adolescent SSB intake.


2020 ◽  
Vol 34 (8) ◽  
pp. 923-928
Author(s):  
Seung Hee Lee ◽  
Lei Zhang ◽  
Donald L. Rubin ◽  
Sohyun Park

Purpose: Examine association of health literacy (HL) and menu-labeling (ML) usage with sugar-sweetened beverage (SSB) intake among adults in Mississippi. Design: Quantitative, cross-sectional study. Setting: 2016 Mississippi Behavioral Risk Factor Surveillance System data. Participants: Adults living in Mississippi (n = 4549). Measures: Outcome variable was SSB intake (regular soda, fruit drinks, sweet tea, and sports/energy drinks). Exposure variables were 3 HL questions (find information, understand oral information, and understand written information) and ML usage among adults who eat at fast-food/chain restaurants (user, nonuser, and do not notice ML). Analysis: Multinomial logistic regressions were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) for SSB intake ≥1 time/d (reference: 0 times/d) associated with HL and ML. Results: In Mississippi, 46.8% of adults consumed SSB ≥1 time/d, and 26.9% consumed ≥2 times/d. The odds of consuming SSBs ≥1 time/d were higher among adults with lower HL (aOR = 1.7; 95% CI = 1.3-2.2) than those with higher HL. Among adults who ate at fast-food/chain restaurants, the odds of consuming SSBs ≥1 time/d were higher among nonusers of ML (aOR = 2.3; 95% CI = 1.7-3.1) and adults who did not notice ML (aOR = 1.8; 95% CI = 1.3-2.6) than ML users. Conclusion: Adults with lower HL and adults who do not use or notice ML consumed more SSBs in Mississippi. Understanding why lower HL and no ML usage are linked to SSB intake could guide the design of interventions to reduce SSB intake in this population.


2016 ◽  
Vol 31 (4) ◽  
pp. 492-508 ◽  
Author(s):  
A. N. Bailey ◽  
K. J. Porter ◽  
J. L. Hill ◽  
Y. Chen ◽  
P. A. Estabrooks ◽  
...  

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 161-161
Author(s):  
Fred Molitor ◽  
Celeste Doerr

Abstract Objectives Previously we reported improved dietary intake from 2015 to 2017 for fruits and vegetables, water, and Healthy Eating Index-2015 scores for mothers, teenagers, and children from households eligible for Supplemental Nutrition Education Program-Education (SNAP-Ed). Sugar-sweetened beverage (SSBs) consumption was unchanged during this three-year period across age groups. Our objective was to now examine trends in SSB intake with data from 2018 and 2019. Methods Cross-sectional surveys of mothers and their teenager or child were conducted from 2015 to 2019. Respondents were randomly sampled from households with reported incomes ≤185% of the federal poverty level. A study introduction letter in English or Spanish was sent to sampled households. Next, bilingual staff confirmed by phone household eligibility, the youngest mother (or caregiver), and one teenager (12 to 17 years) or child (5 to 11 years). During the subsequent interviews, staff administered the Automated Self-administered 24-Hour Dietary Assessment Tool (ASA24) in English or Spanish. The quantity and size of each reported food or beverage item was determined by asking mothers to reference pictures in a portion-size booklet or measuring cups or spoons previously mailed to each household. The procedures were replicated to obtain 24-hour dietary information from the teenager or child. Daily SSB intake was converted to ounces and regressed on year of survey with the covariates age, education for mothers, and gender for children. Significance of difference between means was adjusted by Bonferroni. Results Participants over the five-year period were 22,827 mothers, 5855 teenagers, and 10,778 children. Most (64.2%, 69.2%, and 67.9%) survey participants were Latinx. The trend for SSB intake for children was significant, with ounces per day increasing from 5.7 in 2017 to 7.3 in 2018 and 7.9 in 2019 (P = 0.0055). Conclusions A previous study found that, despite improvements across dietary behaviors, SSB intake was unchanged among mothers and children from SNAP-Ed eligible households. This follow-up study adds two years of data and findings indicate that children's SSB intake has increased. Findings suggest a need for interventions and policy work addressing children's SSB intake. Funding Sources California Department of Social Services.


Sign in / Sign up

Export Citation Format

Share Document