scholarly journals Cured Red Meat and Cured Poultry Intake for US Individuals 2+ Years from NHANES 2011–2016

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1466-1466
Author(s):  
Lauren O'Connor ◽  
Edwina Wambogo ◽  
Kirsten Herrick ◽  
Jill Reedy

Abstract Objectives Cured animal protein foods are not often differentiated by animal source in dietary data, e.g., cured poultry is commonly grouped with cured red meat. Using the USDA's Food Patterns Equivalents Database (FPED), our objective was to disaggregate the ‘cured meat’ FPED variable into cured red meat (CRM) and cured poultry (CP) to describe mean intakes in the U.S. population. Methods Two researchers independently manually disaggregated the ‘cured meat’ FPED variable into CRM or CP based on food code description, ingredients, and What We Eat in America category. We then developed a SAS program to mimic the manual coding. We estimated consumption prevalence and mean intake of CRM and CP using 1-day dietary recalls for individuals aged 2+ years in NHANES 2011–2016 (n = 23,917). Additionally, we assessed differences by age, sex, self-identified Hispanic origin and race, education, and income (Tukey adjusted P < 0.05). Intakes are reported as mean ± standard error. We used weighted SAS survey commands for all analyses. Results Overall, CRM comprised 73% of total cured meat, 32% of total red meat, and CP comprised 12% of total poultry. Forty-three % of respondents reported CRM, 13% reported CP, and prevalence decreased with age for both. Mean intakes were 0.3 ± 0.01 oz.-eq/1000 kcal for CRM and 0.1 ± 0.01 oz.-eq/1000 kcal for CP, with no linear age trends. Females reported 0.1 ± 0.02 oz.-eq/1000 kcal less CRM than males but similar CP. Non-Hispanic Asians and Hispanics reported less CRM than non-Hispanic whites and blacks. Non-Hispanic Asians reported less CP than Hispanics and both reported less than non-Hispanic whites and blacks. Intakes of CP, but not CRM, were 0.04 ± 0.01 oz.-eq/1000 kcal higher for those with more vs less education. Intakes of CRM or CP did not differ for those above vs below the federal poverty line. Mean intakes were 1.0 ± 0.01 oz.-eq/1000 kcal for total red meat (CRM + ‘meat’ FPED variable) and 1.1 ± 0.02 oz.-eq/1000 kcal for total poultry (CP + ‘poultry’ FPED variable). Conclusions Most cured meat consumed in the U.S. is cured red meat. Both cured red meat and cured poultry are episodically consumed. These newly established FPED-aligned variables can be used to assess chronic disease risk of cured animal protein food consumption with greater specificity. Funding Sources Not applicable.

2021 ◽  
Vol 8 ◽  
Author(s):  
Lauren E. O'Connor ◽  
Kirsten A. Herrick ◽  
Ruth Parsons ◽  
Jill Reedy

Heterogeneity in meat food groups hinders interpretation of research regarding meat intake and chronic disease risk. Our objective was to investigate how heterogeneity in red meat (RM) and poultry food groups influences US population intake estimates. Based on a prior systematic review, we created an ontology of methods used to estimate RM [1= unprocessed RM; 2 (reference)= unprocessed RM + processed RM; 3= unprocessed RM + processed RM + processed poultry; and 4=unprocessed RM + processed RM + processed poultry + chicken patties/nuggets/tenders (PNT)] and three for poultry [A=unprocessed poultry; B= unprocessed poultry + PNT; C (reference)= unprocessed poultry + processed poultry + PNT). We applied methods to 2015–18 National Health and Nutrition Examination Survey data to estimate RM and poultry intake prevalence and amount. We estimated and compared intakes within RM and within poultry methods via the NCI Method for individuals ≥2 years old (n = 15,038), adjusted for age, sex, and race/Hispanic origin. We compared the population percentage that exceeded age- and sex-specific RM and poultry allotments from the Dietary Guidelines for Americans recommended eating patterns. The percent that consumed RM ranged from 47 ± 1.2% to 75 ± 0.8% across methods and mean amount ranged from 10.5 ± 0.28 to 18.2 ± 0.35 lean oz-equivalents/week; 38 ± 1.2% to 71 ± 0.7% and 9.8 ± 0.35 to 13.3 ± 0.35 lean oz-equivalents/week across poultry methods. Estimates for higher, but not lower, intake percentiles differed across RM methods. Compared to the reference, Method 1 was ≥3.0 oz-equivalents/week lower from 20th-70th percentiles, ≥6.0 oz-equivalents/week lower from 75th-90th percentiles, and ≥9.0 oz-equivalents/week lower for the 95th percentile. Method 4, but not Method 3, was ≥3.0 oz-equivalents/week higher than the reference from 50 to 95th percentiles. The population percentage that exceeded allotments was 27 ± 1.8% lower for Method 1, 9 ± 0.8% higher for Method 3, and 14 ± 0.9% higher for Method 4 compared to the reference. Differences were less pronounced for poultry. Our analysis quantifies the magnitude of bias introduced by heterogeneous meat food group methodology. Explicit descriptions of meat food groups are important for development of dietary recommendations to ensure that research studies are compared appropriately.


2020 ◽  
Vol 2 ◽  
pp. 98-110
Author(s):  
Erin Curtin

This article provides an analysis of Tennessee’s newly signed Education Savings Account policy, a school choice initiative. The policy provides vouchers, in the form of a debit card, to students in grades K-12 who are at or below 200% of the federal poverty line and are zoned to attend a Nashville, Shelby County, or Achievement School District school. Using the Policy Window Framework the author uncovers that the policy was created in a federal and state-level political convergence, which attempted to place equity at the forefront of the issue. However, using Levin's Comprehensive Education Privatization Framework, we can see that neoliberal ideals of choice and efficiency conquer equity in the finalized policy. The author predicts the outcomes of this new policy using this framework in tandem with 3 case studies: Louisiana Scholarship Program, DC Opportunity Scholarship Program, and Tennessee’s Individualized Education Accounts.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 150-150
Author(s):  
Sarah Lee ◽  
Tammie S Choi ◽  
Nicole Kellow ◽  
Catherine Huggins

Abstract Objectives Cardiovascular disease (CVD) risk is disproportionally greater in Chinese immigrants in Australia compared with in China. Dietary acculturation is implicated as a CVD risk factor. This study aimed to explored Chinese immigrants’ perspectives on how and why their diets change post migration. Methods An exploratory qualitative interview study was undertaken with adult Chinese migrants who had been living in Australia for less than 10 years. Semi-structured interview questions were designed to draw out participants’ experience, emotions and thoughts of dietary change. Interviews were conducted via Zoom in participants’ preferred language (Mandarin or English). Interviews were transcribed verbatim and translated into English for analysis. A constructivist approach was adopted to thematically analyse the interviews. Results A total of 11 participants were interviewed (n = 3 males and n = 8 females) and ranged in age from 22–68 years old with length of residence in Australia ranging from 1–8 years. Key themes pertaining to how and why dietary changes that occur post migration are: that breakfast is the first meal to change from Chinese to Western style, convenience is one of the primary drivers of change in dietary habits, dinner is most frequently maintained in Chinese style, cultural identity is an important influence on dietary habits, and awareness of dietary change among Chinese immigrants is low as evidenced through statements such as “not much has changed” when asked about differences in their diet, but further probing identified that their post migration diets were quite different from their diets in China. Participants also reported a lack of general healthy eating knowledge and lack of nutrition education from China. Conclusions Though diets of Chinese immigrants to Australia change post migration, particularly in relation to breakfast, due to convenience, awareness of this change is low. Low awareness of dietary change along with lack of knowledge relating to healthy eating, could be a mechanism for adoption of unhealthy dietary patterns that may contribute to increased chronic disease risk for Chinese immigrants over time. Funding Sources No funding to declare.


2018 ◽  
Vol 55 (3) ◽  
pp. 384-388
Author(s):  
Arch G. Mainous ◽  
Rebecca J. Tanner ◽  
Ara Jo ◽  
Ki Park ◽  
V. Madsen Beau De Rochars

Journalism ◽  
2021 ◽  
pp. 146488492110561
Author(s):  
Michael Buozis ◽  
Magda Konieczna

This study examines the field of conservative news nonprofits, using discourse analysis to explore their missions and other public statements. We find that many of these organizations draw on the legitimacy of mainstream journalism outlets while critiquing them, at once associating with and dissociating from them. This enables them to justify their engagement in political activism even as they obscure their ideological orientations and funding sources, behaviors that challenge the normative boundaries of mainstream commercial journalism in the U.S. This work shows how self-described outsiders to a field build and maintain boundaries to legitimate their own work in relation to that field.


Author(s):  
Kate Marsh ◽  
Angela Saunders ◽  
Carol Zeuschner

Despite its nutritional benefits, there is an increasing body of evidence to suggest that regular consumption of red meat may negatively impact health and disease risk, including the risk of most common chronic diseases. This chapter reviews the current evidence linking red and processed meat intakes with chronic disease, obesity and mortality risks and discusses possible mechanisms to explain these associations. Research on the health benefits of diets low in red meat, including vegetarian, vegan, Mediterranean and other plant-based diets, is also reviewed.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Jowy Seah Yi Hoong ◽  
Choon Nam Ong ◽  
Woon-Puay Koh ◽  
Jian-Min Yuan ◽  
Rob van Dam

Abstract Objectives Reduced rank regression (RRR) can incorporate a priori biological hypotheses into exploratory techniques used to generate dietary patterns. No previous studies have used nutrition biomarkers including plasma fatty acids as response variables in RRR. We aimed to derive dietary patterns that explain variation in plasma fatty acid concentrations using RRR and evaluate these in relation to risk of coronary heart disease (CHD) and type 2 diabetes (T2D). Methods We derived dietary patterns in a subsample of 711 participants with fatty acid concentrations in the Singapore Chinese Health Study using RRR with 31 food groups/items as predictors and 10 plasma fatty acid biomarkers as response variables. Scores for the dietary patterns derived in the subset were then calculated among the full cohort. We followed up 58,065 and 45,411 men and women for CHD mortality and incident T2D respectively. Results We identified a ‘prudent pattern’ high in green vegetables, fruits and fish and low in rice, eggs and red meat, and a ‘low-meat pattern’ high in bread, margarine and fruits, and low in red meat, seafood and poultry. During 1077,170 and 494,741 person-years of follow-up, 3016 CHD mortality events and 5207 cases of T2D respectively were identified. Both the ‘prudent pattern’ [all adjusted HRs for extreme quintiles, 0.68 (95% CI: 0.60, 0.77); P-trend < 0.001] and ‘low-meat pattern’ [HR, 0.86 (95% CI: 0.76, 0.96); P-trend = 0.010] were associated with lower risk of CHD mortality. The ‘prudent pattern’ was not associated with T2D whereas the ‘low-meat pattern’ was inversely associated with T2D but appeared restricted to women [HR, 0.69 (95% CI: 0.61, 0.78); P-trend < 0.001; P-interaction for sex = 0.001]. Conclusions Using nutrition biomarkers as response variables in RRR may be a promising approach to generating dietary patterns predictive of noncommunicable chronic disease risk. Funding Sources This study was supported by the National Institutes of Health, USA. JYHS is supported by the NGS Scholarship. W-PK is supported by the National Medical Research Council, Singapore. Supporting Tables, Images and/or Graphs


Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2031
Author(s):  
Neda S. Akhavan ◽  
Shirin Pourafshar ◽  
Sarah A. Johnson ◽  
Elizabeth M. Foley ◽  
Kelli S. George ◽  
...  

Type 2 diabetes (T2D) is a major contributor to morbidity and mortality largely due to increased cardiovascular disease risk. This study examined the relationships among protein consumption and sources on glycemic control and cardiovascular health in individuals with prediabetes and T2D. Sixty-two overweight or obese participants with prediabetes or T2D, aged 45–75 years were stratified into the following three groups based on protein intake: <0.8 g (gram)/kg (kilogram) body weight (bw), ≥0.8 but <1.0 g/kg bw, and ≥1.0 g/kg bw as below, meeting, and above the recommended levels of protein intake, respectively. Body mass, body mass index (BMI), hip circumference (HC), waist circumference (WC), lean mass, and fat mass (FM) were significantly higher in participants who consumed below the recommended level of protein intake as compared with other groups. Higher animal protein intake was associated with greater insulin secretion and lower triglycerides (TG). Total, low-density, and high-density cholesterol were significantly higher in participants who met the recommended protein intake as compared with the other groups. These data suggest that high protein consumption is associated with lower BMI, HC, WC, and FM, and can improve insulin resistance without affecting lipid profiles in this population. Furthermore, higher intake of animal protein can improve β-cell function and lower plasma TG.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1601-1601
Author(s):  
Xuhuiqun Zhang ◽  
Jayanthi Gangiredla ◽  
Carmen Tartera ◽  
Mark Mammel ◽  
Tammy Barnaba ◽  
...  

Abstract Objectives Metagenomic analysis of the human gut microbiome is a rich dataset for discovery of possible biomarker discovery linking molecular and genomic data of resident microbial communities to host factors such as diet and clinical indices of disease risk. The objectives of this research are to: 1) characterize the structural and functional capacity of the gut microbiome of individuals with prediabetes and insulin resistance (PreDM), including relationship to body adiposity; 2) assess the influence of fruit supplementation, specifically red raspberries (RRB), a source of dietary fiber and tannins, on metagenomic biomarkers, 3) assess whether adding fructo-oligosaccharide (FOS), a known prebiotic fiber, would augment the dietary fruit effect. Methods In a randomized, 4-week treatment crossover clinical trial, subjects (n = 36: PreDM, n = 26; metabolically-healthy Reference group, n = 10) consumed RRB (1 cup fresh equivalence) daily or RRB with 8g FOS daily for 4 weeks separated by 4-week washout. DNA extracted from stool samples were assessed using whole-metagenome shotgun sequencing at week 0 for the PreDM and Reference groups and then after RRB vs. RRB + FOS supplementation. Results Blautia obeum (P = 0.02) and Blautia wexlerae (P &lt; 0.001) were overly abundant characterizing the PreDM gut. Among PreDM, the obese subgroup (n = 15) were characterized by overabundant Bacteroides vulgatus and underabundant Bifidobacterium longum compared with PreDM lean group (n = 11) (P &lt; 0.05). RRB supplementation increased Clostridium orbiscindensin all participants (P = 0.04), whereas adding FOS significantly increased Bifidobacterium spp.in all participants (P &lt; 0.05), and reduced B. obeum (P = 0.04) and B. wexlerae (P = 0.03) in PreDM group. Conclusions Distinguishing compositional characteristics of gut microbiome were evident among metabolically at risk individuals, and dietary strategies incorporating fruit/RRB with prebiotics/FOS revealed possible microbial biomarkers for clinical indices related to adiposity. Funding Sources Funds were provided by the National Processed Raspberry Council.


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