scholarly journals Comparison of Major Protein-Source Foods and Other Food Groups in Meat-Eaters and Non-Meat-Eaters in the EPIC-Oxford Cohort

Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 824 ◽  
Author(s):  
Papier ◽  
Tong ◽  
Appleby ◽  
Bradbury ◽  
Fensom ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Food Group ◽  
Diet Group ◽  
High Protein ◽  
Protein Source ◽  
Major Protein ◽  
Dietary Intakes ◽  
Food Groups ◽  
Sweetened Beverages ◽  
Fried Foods

Differences in health outcomes between meat-eaters and non-meat-eaters might relate to differences in dietary intakes between these diet groups. We assessed intakes of major protein-source foods and other food groups in six groups of meat-eaters and non-meat-eaters participating in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Oxford study. The data were from 30,239 participants who answered questions regarding their consumption of meat, fish, dairy or eggs and completed a food frequency questionnaire (FFQ) in 2010. Participants were categorized as regular meat-eaters, low meat-eaters, poultry-eaters, fish-eaters, vegetarians and vegans. FFQ foods were categorized into 45 food groups and analysis of variance was used to test for differences between age-adjusted mean intakes of each food group by diet group. Regular meat-eaters, vegetarians and vegans, respectively, consumed about a third, quarter and a fifth of their total energy intake from high protein-source foods. Compared with regular meat-eaters, low and non-meat-eaters consumed higher amounts of high-protein meat alternatives (soy, legumes, pulses, nuts, seeds) and other plant-based foods (whole grains, vegetables, fruits) and lower amounts of refined grains, fried foods, alcohol and sugar-sweetened beverages. These findings provide insight into potential nutritional explanations for differences in health outcomes between diet groups.

scholarly journals Comparison of major protein-source foods and other food groups in meat-eaters and non-meat-eaters in the EPIC-Oxford cohort

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Keren Papier ◽  
Tammy Tong ◽  
Paul Appleby ◽  
Kathryn Bradbury ◽  
Georgina Fensom ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Food Group ◽  
Diet Group ◽  
High Protein ◽  
Protein Source ◽  
Major Protein ◽  
Dietary Intakes ◽  
Food Groups ◽  
Animal Products ◽  
Fried Foods

IntroductionDifferences in health outcomes between meat-eaters and non-meat-eaters might relate to differences in dietary intakes between these diet groups. We assessed intakes of major protein-source foods and other food groups in six groups of meat-eaters and non-meat-eaters participating in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Oxford study.Materials and methodsData were from 30, 239 participants who answered four questions regarding their consumption of meat, fish, dairy or eggs and completed a food frequency questionnaire (FFQ) in 2010. Participants were categorized as regular meat-eaters (> 50 grams of total/any meat per day: n = 12,997); low meat-eaters (< 50 grams of total/any meat per day: n = 4,650); poultry-eaters (poultry but no red meat: n = 591); fish-eaters (no meat but consumed fish: n = 4,528); vegetarians (no meat or fish: n = 6,672); and vegans (no animal products: n = 801). FFQ foods were categorised into 45 food groups. Analysis of variance was used to test for differences between age-adjusted mean intakes of each food group by diet group.ResultsWe found that regular meat-eaters, vegetarians and vegans, respectively, consumed about a third, quarter and a fifth of their total energy intake from high protein-source foods. Compared with regular meat-eaters, low and non-meat-eaters consumed higher amounts of high-protein meat alternatives (soy, legumes, pulses, nuts, seeds) and other plant-based foods (whole grains, vegetables, fruits) and lower amounts of refined grains, fried foods, alcohol, and sugar-sweetened beverages.DiscussionOverall, our results suggest that there were large differences in the amounts and types of protein-rich and other foods eaten by regular, low and non-meat-eaters. These findings provide insight into potential nutritional explanations for differences in health outcomes between diet groups.

Inadequate Dietary Intakes: Among Pregnant Women

2012 ◽  
Vol 73 (2) ◽  
pp. 72-77 ◽  
Author(s):  
Jennifer K. Fowler ◽  
Susan E. Evers ◽  
M. Karen Campbell
Keyword(s):  
Pregnant Women ◽  
Food Group ◽  
Reproductive Age ◽  
Dietary Intakes ◽  
Food Groups ◽  
Eating Behaviours ◽  
Prenatal Health ◽  
Canadian City ◽  
Minimum Number ◽  
Health Project

Purpose: Eating behaviours were assessed among pregnant women in a mid-sized Canadian city. Methods: As part of the Prenatal Health Project, we interviewed 2313 pregnant women in London, Ontario. Subjects also completed a food frequency questionnaire. Recruitment took place in ultrasound clinics at 10 to 22 weeks of gestation. The main outcome measures were number of daily servings for each food group, measured against the minimum number recommended by the 2007 Eating Well with Canada’s Food Guide (CFG), the proportion of women consuming the recommended number of servings for each and all of the four food groups, and factors associated with adequate consumption. We also determined the number of servings of “other foods.” Analysis included descriptive statistics and logistic regression, all at p<0.05. Results: A total of 3.5% of women consumed the recommended number of servings for all four food groups; 15.3% did not consume the minimum number of servings of foods for any of the four food groups. Women for whom this was their first pregnancy were less likely to consume the recommended number of servings from all four food groups (odds ratio=0.41; confidence interval=0.23, 0.74). Conclusions: Very few pregnant women consumed food group servings consistent with the 2007 recommendations. Strategies to improve dietary behaviours must focus on the establishment of healthy eating behaviours among women of reproductive age.

scholarly journals A short food-group-based dietary questionnaire is reliable and valid for assessing toddlers' dietary risk in relatively advantaged samples

2014 ◽  
Vol 112 (4) ◽  
pp. 627-637 ◽  
Author(s):  
Lucinda K. Bell ◽  
Rebecca K. Golley ◽  
Anthea M. Magarey
Keyword(s):  
Risk Score ◽  
Dietary Patterns ◽  
Reliability And Validity ◽  
Food Group ◽  
Dietary Guidelines ◽  
Risk Category ◽  
Food Groups ◽  
Sweetened Beverages ◽  
Dietary Risk ◽  
Highly Correlated

Identifying toddlers at dietary risk is crucial for determining who requires intervention to improve dietary patterns and reduce health consequences. The objectives of the present study were to develop a simple tool that assesses toddlers' dietary risk and investigate its reliability and validity. The nineteen-item Toddler Dietary Questionnaire (TDQ) is informed by dietary patterns observed in Australian children aged 14 (n552) and 24 (n493) months and the Australian dietary guidelines. It assesses the intake of ‘core’ food groups (e.g. fruit, vegetables and dairy products) and ‘non-core’ food groups (e.g. high-fat, high-sugar and/or high-salt foods and sweetened beverages) over the previous 7 d, which is then scored against a dietary risk criterion (0–100; higher score = higher risk). Parents of toddlers aged 12–36 months (Socio-Economic Index for Areas decile range 5–9) were asked to complete the TDQ for their child (n111) on two occasions, 3·2 (sd1·8) weeks apart, to assess test–retest reliability. They were also asked to complete a validated FFQ from which the risk score was calculated and compared with the TDQ-derived risk score (relative validity). Mean scores were highly correlated and not significantly different for reliability (intra-class correlation = 0·90, TDQ1 30·2 (sd8·6)v. TDQ2 30·9 (sd8·9);P= 0·14) and validity (r0·83, average TDQ ((TDQ1+TDQ2)/2) 30·5 (sd8·4)v. FFQ 31·4 (sd8·1);P= 0·05). All the participants were classified into the same (reliability 75 %; validity 79 %) or adjacent (reliability 25 %; validity 21 %) risk category (low (0–24), moderate (25–49), high (50–74) and very high (75–100)). Overall, the TDQ is a valid and reliable screening tool for identifying at-risk toddlers in relatively advantaged samples.

scholarly journals Underreporting of energy intake among Japanese women aged 18–20 years and its association with reported nutrient and food group intakes

2004 ◽  
Vol 7 (7) ◽  
pp. 911-917 ◽  
Author(s):  
Hitomi Okubo ◽  
Satoshi Sasaki
Keyword(s):  
Metabolic Rate ◽  
Energy Intake ◽  
Basal Metabolic Rate ◽  
Food Group ◽  
Young Female ◽  
Dietary Intakes ◽  
Food Groups ◽  
Female Population ◽  
Reporting Accuracy ◽  
Diet History Questionnaire

AbstractObjectives:To evaluate the ratio of energy intake to basal metabolic rate (EI/BMR) among young female Japanese adults, and to compare the lifestyle and dietary characteristics between relatively low and high reporters.Design:Dietary intakes were assessed over a 1-month period with a validated, self-administered, diet history questionnaire, and lifestyle variables were assessed by a second questionnaire designed for this survey. The ratio of EI/BMR was calculated from reported energy intake and estimated basal metabolic rate.Subjects:In total, 1889 female Japanese university students aged 18–20 years who were enrolled in dietetics courses.Results:Ninety-five per cent of the subjects were classified into a non-obese group (body mass index (BMI) <25 kg m−2; mean±standard deviation (SD): 20.8±2.6 kg m−2). EI/BMR was 1.43±0.40 (mean±SD). Sixty-eight per cent of the subjects showed an EI/BMR level below the possibly balanced value of 1.56, 37% showed EI/BMR below the minimum survival value of 1.27 and 2% of the subjects showed EI/BMR exceeding the maximum value for a sustainable lifestyle of 2.4. BMI, body weight and BMR decreased significantly with the increase in EI/BMR (P<0.001). The percentage of energy from carbohydrate was significantly higher, whereas those from fat and protein were significantly lower, among the lower EI/BMR groups. As for food groups, a significantly declining trend from the lowest to the highest EI/BMR groups was observed for cereals.Conclusion:Underreporting, rather than overreporting, of energy intake was predominant in this relatively lean Japanese female population. BMI was the most important factor affecting the reporting accuracy of energy intake.

scholarly journals Energy, Nutrient and Food Intakes of Male Shift Workers Vary According to the Schedule Type but Not the Number of Nights Worked

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 919
Author(s):  
Sophie Bucher Della Torre ◽  
Pascal Wild ◽  
Victor Dorribo ◽  
Brigitta Danuser ◽  
Francesca Amati
Keyword(s):  
Eating Habits ◽  
Night Shift ◽  
Food Group ◽  
Pooled Analysis ◽  
Dietary Intakes ◽  
Food Groups ◽  
Shift Workers ◽  
Increased Risk ◽  
Schedule Type ◽  
Night Shifts

Shift work is associated with increased risk of chronic diseases due to circadian rhythm disruptions and behavioral changes such as in eating habits. Impact of type of shifts and number of night shifts on energy, nutrient and food intake is as yet unknown. Our goal was to analyze shift workers’ dietary intake, eating behavior and eating structure, with respect to frequency of nights worked in a given week and seven schedule types. Eating habits and dietary intakes of 65 male shift workers were analyzed in three steps based on 365 24-h food records: (1) according to the number of nights, (2) in a pooled analysis according to schedule type, and (3) in search of an interaction of the schedule and the timing of intake. Mean nutrient and food group intake during the study period did not depend on the number of nights worked. Amount and distribution of energy intake as well as quality of food, in terms of nutrient and food groups, differed depending on the type of schedule, split night shifts and recovery day (day after night shift) being the most impacted. Shift workers’ qualitative and quantitative dietary intakes varied between different schedules, indicating the need for tailored preventive interventions.

scholarly journals Patterns of food consumption among vegetarians and non-vegetarians

2014 ◽  
Vol 112 (10) ◽  
pp. 1644-1653 ◽  
Author(s):  
Michael J. Orlich ◽  
Karen Jaceldo-Siegl ◽  
Joan Sabaté ◽  
Jing Fan ◽  
Pramil N. Singh ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Food Consumption ◽  
Dietary Patterns ◽  
A Priori ◽  
Food Group ◽  
Epidemiological Studies ◽  
Consumption Patterns ◽  
Health Study ◽  
Food Groups ◽  
Vegetarian Diets

Vegetarian dietary patterns have been reported to be associated with a number of favourable health outcomes in epidemiological studies, including the Adventist Health Study 2 (AHS-2). Such dietary patterns may vary and need further characterisation regarding foods consumed. The aims of the present study were to characterise and compare the food consumption patterns of several vegetarian and non-vegetarian diets. Dietary intake was measured using an FFQ among more than 89 000 members of the AHS-2 cohort. Vegetarian dietary patterns were defined a priori, based on the absence of certain animal foods in the diet. Foods were categorised into fifty-eight minor food groups comprising seventeen major food groups. The adjusted mean consumption of each food group for the vegetarian dietary patterns was compared with that for the non-vegetarian dietary pattern. Mean consumption was found to differ significantly across the dietary patterns for all food groups. Increased consumption of many plant foods including fruits, vegetables, avocados, non-fried potatoes, whole grains, legumes, soya foods, nuts and seeds was observed among vegetarians. Conversely, reduced consumption of meats, dairy products, eggs, refined grains, added fats, sweets, snack foods and non-water beverages was observed among vegetarians. Thus, although vegetarian dietary patterns in the AHS-2 have been defined based on the absence of animal foods in the diet, they differ greatly with respect to the consumption of many other food groups. These differences in food consumption patterns may be important in helping to explain the association of vegetarian diets with several important health outcomes.

scholarly journals Dietary Sugar Intake and Its Association with Obesity in Children and Adolescents

Children ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 676
Author(s):  
Emmanuella Magriplis ◽  
George Michas ◽  
Evgenia Petridi ◽  
George P. Chrousos ◽  
Eleftheria Roma ◽  
...  
Keyword(s):  
Total Energy ◽  
Children And Adolescents ◽  
Age Groups ◽  
Significant Proportion ◽  
Dietary Intakes ◽  
Food Groups ◽  
Added Sugar ◽  
Added Sugars ◽  
Sugar Intake ◽  
Sweetened Beverages

Sugar intake has been associated with increased prevalence of childhood overweight/obesity; however, results remain controversial. The aim of this study was to examine the probability of overweight/obesity with higher sugar intakes, accounting for other dietary intakes. Data from 1165 children and adolescents aged ≥2–18 years (66.8% males) enrolled in the Hellenic National Nutrition and Health Survey (HNNHS) were used; specifically, 781 children aged 2–11 years and 384 adolescents 12–18 years. Total and added sugar intake were assessed using two 24 h recalls (24 hR). Foods were categorized into specific food groups to evaluate the main foods contributing to intakes. A significant proportion of children (18.7%) and adolescents (24.5%) exceeded the recommended cut-off of 10% of total energy intake from added sugars. Sweets (29.8%) and processed/refined grains and cereals (19.1%) were the main sources of added sugars in both age groups, while in adolescents, the third main contributor was sugar-sweetened beverages (20.6%). Being overweight or obese was 2.57 (p = 0.002) and 1.77 (p = 0.047) times more likely for intakes ≥10% of total energy from added sugars compared to less <10%, when accounting for food groups and macronutrient intakes, respectively. The predicted probability of becoming obese was also significant with higher total and added-sugar consumption. We conclude that high consumption of added sugars increased the probability for overweight/obesity among youth, irrespectively of other dietary or macronutrient intakes.

scholarly journals Canadians’ Dietary Intake from 2007 to 2011 and across Different Sociodemographic/Lifestyle Factors Using the Canadian Health Measures Survey Cycles 1 and 2

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Zeinab Hosseini ◽  
Susan J. Whiting ◽  
Hassan Vatanparast
Keyword(s):  
Dietary Intake ◽  
Food Group ◽  
Dietary Intakes ◽  
Food Groups ◽  
Milk Products ◽  
Objective Health ◽  
Health Measures ◽  
Canadian Health ◽  
Vegetables And Fruits ◽  
Canadian Health Measures Survey

Background. Nutrition is an important factor that impacts health, yet in Canada, there have been only a few surveys reflecting dietary intakes. The Canadian Health Measures Survey (CHMS) is a national survey that includes both food intake data as targeted questions and objective health measures. The aim of this research was to determine how food group intake data reported in CHMS is related to food group intakes from Canadian Community Health Survey (CCHS) (2004). A secondary objective was to examine the dietary status of Canadians across sociodemographic levels. Methods. The CHMS Cycles 1 and 2 food group intake data (meat and alternatives; milk products; grains; vegetables and fruits; dietary fat consumption; and beverages) of Canadians (6–79 years, n=11,387) were descriptively compared to previously reported intake of Canadians from CCHS 2.2 in 2004. Further, Canadians’ food intakes were assessed across sociodemographic characteristics. Results. The CHMS dietary intake data from vegetables and fruits and from milk products groups were similar to the dietary intake reported from CCHS 2.2. For the other food groups, the difference in intakes suggested CHMS data by FFQ were not complete. However, similar patterns in food intakes with regards to age/sex and income were observed in both surveys. Conclusion. Not all food groups measured in CHMS provide complete dietary intake data as compared to CCHS 2.2, yet CHMS food group intakes provide valuable information when it comes to evaluating dietary intake across different population groups.

scholarly journals Diet quality – what is it and does it matter?

2009 ◽  
Vol 12 (12) ◽  
pp. 2473-2492 ◽  
Author(s):  
Annika Wirt ◽  
Clare E Collins
Keyword(s):  
Health Outcomes ◽  
Diet Quality ◽  
English Language ◽  
Food Group ◽  
Cross Sectional Study ◽  
Dietary Quality ◽  
Food Groups ◽  
Cross Sectional ◽  
The Relationship ◽  
Quality Tools

AbstractObjectiveMeasures of diet quality have evolved with a number of scoring indices currently in use. They are increasingly being used to examine epidemiological associations between dietary intake and nutrition-related health outcomes. The present review aims to describe current diet quality tools and their applications, and to examine the relationship between diet quality and morbidity and mortality.DesignA search was conducted of MEDLINE, Cochrane, EMBASE, CINAHL and ProQuest electronic databases. Inclusion criteria were: English language; published from 2004 on; conducted in adult populations; longitudinal/cohort/case–control or cross-sectional study; included a theoretically defined measure of diet quality.ResultsA total of twenty-five indices of overall diet quality and/or variety were found, with components ranging from nutrients only to adherence to recommended food group servings, to variety within healthful food groups. The majority of studies reviewed had methodological weaknesses but demonstrated that higher dietary quality was consistently inversely related to all-cause mortality, with a protective effect of moderate magnitude. The associations were stronger for men and for all-cause and CVD mortality.ConclusionsThe limitations of both the indices and the studies that use them need to be considered when interpreting and comparing results. However, diet quality indices do appear to be able to quantify risk of some health outcomes, including biomarkers of disease and risk of CVD, some cancers and mortality. Further research is needed to improve the validity of these tools and to adapt them for use in clinical dietetic practice.

scholarly journals Associations between Food Group Intake, Cognition, and Academic Achievement in Elementary Schoolchildren

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2722 ◽  
Author(s):  
Rachel Bleiweiss-Sande ◽  
Kenneth Chui ◽  
Catherine Wright ◽  
Sarah Amin ◽  
Stephanie Anzman-Frasca ◽  
...  
Keyword(s):  
Academic Achievement ◽  
Cognitive Performance ◽  
Test Scores ◽  
Standardized Test ◽  
Food Group ◽  
Cognitive Test ◽  
Standardized Test Scores ◽  
Food Groups ◽  
Sweetened Beverages ◽  
Healthful Food

Nutrition plays an important role in proper physical and cognitive functioning. However, there is limited evidence on the relationship between overall diet, cognition, and academic success in children, particularly among low-income and diverse groups. The objective of this study was to examine the relationships between healthful versus less healthful food group intake, cognitive performance, and academic achievement in a diverse sample of schoolchildren. 868 urban schoolchildren (age 8 to 10 years) participated in the study. Intake of healthful (fruits, vegetables, unsweetened beverages) and less healthful (sweet and salty snacks, sugar-sweetened beverages) food groups was determined via a food frequency questionnaire. Digit Span and Stroop test scores were used to assess cognitive performance. Academic achievement was assessed via standardized test scores. Multiple Poisson and multiple linear regression were used to test the associations between diet and cognitive scores. Multiple ordered logistic regression was used to assess the associations between diet and academic achievement. Potential confounders (age, sex, body mass index (BMI) z-score, race/ethnicity, English language learner status, individualized education plan enrollment, physical activity, and parent education level) were tested for inclusion in all models. The sample included 868 children (56.7% girls; 33.2% non-Hispanic white, 26.2% Hispanic, 17.1% multiracial/other, 8.3% non-Hispanic black; 40.5% overweight/obese). The most frequently consumed foods were fruits and sweet snacks (1.9 and 1.6 servings per day, respectively). There were no statistically significant associations between diet and cognitive test scores. Greater intake of less healthful food groups (sweet snacks, salty snacks, and sweetened beverages) was associated with lower math (OR = 0.91, CI [0.84, 0.98], p = 0.014) and English standardized test scores (OR = 0.87, CI [0.80, 0.94, p = 0.001). Greater intake of sweet snacks and fruits was associated with lower English scores (OR = 0.72, 95% CI [0.59, 0.88] p = 0.001; and OR = 0.75, 95% CI [0.72, 0.94] p = 0.003, respectively). Consumption of less healthful food groups was associated with poorer academic achievement. Further research may shed light on unexpected associations between fruit consumption and achievement. Policies targeting multiple dietary components may positively influence child academic achievement and development.

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