Comparison of dietary patterns, food groups, nutrients intake, cardio-metabolic biomarkers, and liver enzymes in successful and unsuccessful weight loss maintainers

The combinations of food consumed together (dietary patterns) may have a greater influence on health than nutrients or food groups consumed independently. This study investigated the relationship between dietary patterns, body composition and metabolic biomarkers of premenopausal New Zealand women from three ethnic groups. In total, 408 New Zealand European, Māori and Pacific women aged 16–45 years participated in the Women’s EXPLORE (EXamining Predictors Linking Obesity Related Elements) study. Participants completed a 220-item food frequency questionnaire. Several body composition parameters and metabolic biomarkers were measured. Dietary patterns were extracted by principal component analysis and dietary pattern scores were categorised into tertiles to assess links with other measured parameters. Women with higher scores for the ‘refined and processed’ pattern were younger, had higher body mass index, total body fat, plasma leptin and plasma insulin (p < 0.001), and lower plasma ghrelin levels (p < 0.05) than women with lower scores. In addition, more Māori (51%) and Pacific (68%) women followed the ‘refined and processed’ pattern, while more New Zealand European women (40%) followed the ‘sweet and savoury snacking’ pattern. These data show that dietary pattern analysis is a useful tool to assess links between diet and metabolic health. It further reveals interesting ethnic group-specific differences in dietary pattern use.

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Diet and general cognitive ability in the UK Biobank dataset

Scientific Reports ◽

10.1038/s41598-021-91259-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Piril Hepsomali ◽

John A. Groeger

Keyword(s):

Cognitive Ability ◽

Dietary Patterns ◽

Red Meat ◽

Milk Intake ◽

Special Focus ◽

General Cognitive Ability ◽

Food Groups ◽

Uk Biobank ◽

Wide Range ◽

The Uk

AbstractAccumulating evidence suggests that dietary interventions might have potential to be used as a strategy to protect against age-related cognitive decline and neurodegeneration, as there are associations between some nutrients, food groups, dietary patterns, and some domains of cognition. In this study, we aimed to conduct the largest investigation of diet and cognition to date, through systematically examining the UK Biobank (UKB) data to find out whether dietary quality and food groups play a role on general cognitive ability. This cross-sectional population-based study involved 48,749 participants. UKB data on food frequency questionnaire and cognitive function were used. Also, healthy diet, partial fibre intake, and milk intake scores were calculated. Adjusted models included age, sex, and BMI. We observed associations between better general cognitive ability and higher intakes of fish, and unprocessed red meat; and moderate intakes of fibre, and milk. Surprisingly, we found that diet quality, vegetable intake, high and low fibre and milk intake were inversely associated with general cognitive ability. Our results suggest that fish and unprocessed red meat and/or nutrients that are found in fish and unprocessed red meat might be beneficial for general cognitive ability. However, results should be interpreted in caution as the same food groups may affect other domains of cognition or mental health differently. These discrepancies in the current state of evidence invites further research to examine domain-specific effects of dietary patterns/food groups on a wide range of cognitive and affective outcomes with a special focus on potential covariates that may have an impact on diet and cognition relationship.

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The food patterns of a multicenter cohort of Brazilian nulliparous pregnant women

Scientific Reports ◽

10.1038/s41598-021-95185-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Maria J. Miele ◽

Renato T. Souza ◽

Iracema M. Calderon ◽

Francisco E. Feitosa ◽

Débora F. Leite ◽

...

Keyword(s):

Pregnant Women ◽

Dietary Patterns ◽

Principal Component ◽

Good Representation ◽

Processed Foods ◽

Food Groups ◽

Dietary Recall ◽

Complex Process ◽

Nutrient Consumption ◽

Main Components

AbstractAssessment of human nutrition is a complex process, in pregnant women identify dietary patterns through mean nutrient consumption can be an opportunity to better educate women on how to improve their overall health through better eating. This exploratory study aimed to identify a posteriori dietary patterns in a cohort of nulliparous pregnant women. The principal component analysis (PCA) technique was performed, with Varimax orthogonal rotation of data extracted from the 24-h dietary recall, applied at 20 weeks of gestation. We analysed 1.145 dietary recalls, identifying five main components that explained 81% of the dietary pattern of the sample. Dietary patterns found were: Obesogenic, represented by ultra-processed foods, processed foods, and food groups rich in carbohydrates, fats and sugars; Traditional, most influenced by natural, minimally processed foods, groups of animal proteins and beans; Intermediate was similar to the obesogenic, although there were lower loads; Vegetarian, which was the only good representation of fruits, vegetables and dairy products; and Protein, which best represented the groups of proteins (animal and vegetable). The obesogenic and intermediate patterns represented over 37% of the variation in food consumption highlighting the opportunity to improve maternal health especially for women at first mothering.

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Comparison of two exploratory dietary patterns in association with the metabolic syndrome in a Northern German population

British Journal Of Nutrition ◽

10.1017/s0007114514002098 ◽

2014 ◽

Vol 112 (8) ◽

pp. 1364-1372 ◽

Cited By ~ 33

Author(s):

Janett Barbaresko ◽

Sabine Siegert ◽

Manja Koch ◽

Imke Aits ◽

Wolfgang Lieb ◽

...

Keyword(s):

Metabolic Syndrome ◽

Dietary Patterns ◽

Dietary Pattern ◽

Dietary Guidelines ◽

Processed Meat ◽

German Population ◽

Food Groups ◽

Reduced Rank Regression ◽

Cross Sectional ◽

The Metabolic Syndrome

Diet is related to many chronic disease conditions such as the metabolic syndrome (MetS). We set out to compare behaviour-related with disease-related patterns and their association with the MetS in a German cross-sectional study. A total of 905 participants of a Northern German cohort (aged 25–82 years) completed a FFQ, underwent anthropometric assessments and provided a blood sample. Dietary patterns were derived by principal component analysis (PCA) and reduced-rank regression (RRR) from forty-two food groups. Components of the MetS were used as response variables for the RRR analysis. Simplified patterns comprising ten food groups were generated. Logistic regression analysis was performed to evaluate the likelihood of having the MetS across the quartiles of simplified pattern scores. We identified two similar dietary patterns derived by PCA and RRR characterised by high intakes of potatoes, various vegetables, red and processed meat, fats, sauce and bouillon. Comparing simplified patterns, an increased RRR pattern score was associated with a higher OR (2·18, 95 % CI 1·25, 3·81) of having the MetS than an increased PCA pattern score (OR 1·92, 95 % CI 1·21, 3·03). Comparing concordant food groups by both dietary pattern methods, a diet high in legumes, beef, processed meat and bouillon was also positively associated with the prevalence of the MetS after adjustment for potential confounders (OR 1·71, 95 % CI 1·04, 2·79). We identified a behaviour-related pattern that was positively associated with the MetS. The application of both dietary pattern methods may be advantageous to obtain information for designing and realising dietary guidelines. Prospective studies are needed to confirm the results.

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Dietary Patterns during Lactation and Postpartum Weight Loss: A Systematic Review

10.52570/nesr.dgac2020.sr0202 ◽

2020 ◽

Author(s):

Sharon Donovan ◽

Kathryn Dewey ◽

Rachel Novotny ◽

Jamie Stang ◽

Elsie Taveras ◽

...

Keyword(s):

Systematic Review ◽

Weight Loss ◽

Dietary Patterns ◽

Postpartum Weight

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Dietary Patterns of Men and Women Suggest Targets for Health Promotion: The Framingham Nutrition Studies

American Journal of Health Promotion ◽

10.4278/0890-1171-11.1.42 ◽

1996 ◽

Vol 11 (1) ◽

pp. 42-52 ◽

Cited By ~ 65

Author(s):

Barbara E. Millen ◽

Paula A. Quatromoni ◽

David R. Gagnon ◽

L. Adrienne Cupples ◽

Mary M. Franz ◽

...

Keyword(s):

Dietary Patterns ◽

Behavioral Interventions ◽

Nutrient Intake ◽

Population Based ◽

Dietary Behaviors ◽

Food Groups ◽

Cross Sectional ◽

Men And Women ◽

Cluster Analyses ◽

Food And Nutrient Intake

Purpose. The goal of the study was to characterize the dietary patterns of adult men and women. Design. The study used a cross-sectional analysis of food consumption behaviors and nutrient intake measured from 1984 through 1988. Setting. The Framingham Offspring/Spouse Study, Framingham, Massachusetts. Subjects. The population-based sample comprised 1831 men and 1828 women between 20 and 70 years of age. Measures. Dietary patterns were defined by cluster analyses, which used the estimates of usual daily food intake from food frequency questionnaires, and the patterns were compared with Food Guide Pyramid recommendations. Nutrient intakes were independently estimated from 24-hour recalls and compared with Year 2000 nutrition recommendations. Results. Cluster analyses identified five groups of men and five groups of women with distinctive dietary patterns. Men differed on intakes of all food groups except vegetables and snacks plus sweetened beverages. Specific dietary behaviors, including low intakes of whole grains, fruits, vegetables, and other complex carbohydrates; high intakes of beer and liquor; and high intakes of high-fat animal foods warrant targeted intervention messages for men. Women's patterns differed across all food groups except red meats and fattier poultry and beer. Dietary behaviors of women that deserve attention include low fruit, vegetable, starch, and dairy intakes; chronic dieting; high alcohol intake; and sources of hidden fats. No cluster met the current recommendations for food and nutrient intake. Conclusions. Distinct dietary patterns in Framingham men and women vary in compliance with national nutrition and health policy objectives and provide insights for developing behavioral interventions to improve food and nutrient intake.

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

British Journal Of Nutrition ◽

10.1017/s0007114514001184 ◽

2014 ◽

Vol 112 (4) ◽

pp. 627-637 ◽

Cited By ~ 15

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.

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Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

10.21203/rs.3.rs-29635/v2 ◽

2020 ◽

Author(s):

Adi Lukas Kurniawan ◽

Chien-Yeh Hsu ◽

Hsiu-An Lee ◽

Hsiao-Hsien Rau ◽

Rathi Paramastri ◽

...

Keyword(s):

Metabolic Syndrome ◽

Kidney Function ◽

Dietary Patterns ◽

Dietary Pattern ◽

Density Lipoprotein ◽

Principal Component ◽

Dietary Guidelines ◽

Food Groups ◽

Reduced Rank Regression ◽

Sugary Drinks

Abstract Background: Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (MetS) using two methods for identifying dietary patterns.Methods: The participants (n = 25,569) aged ≥ 40 years with impaired kidney function were retrieved from Mei Jau (MJ) Health Screening database from 2008 to 2010. Dietary patterns were identified by principal component analysis (PCA) and reduced rank regression (RRR) from twenty-two food groups using PROC FACTOR and PROC PLS functions.Results: We identified two similar dietary pattern characteristics (high intakes of deep fried foods, preserved or processed foods, dipping sauce, meat, sugary drinks, organ meats, jam/honey, fried rice/flour products, instant noodles and eggs) derived by PCA and RRR. Logistic regression analysis revealed that RRR-derived dietary pattern scores were positively associated with an odds ratio (OR = 1.70, 95% CI: 1.56, 1.86) of having MetS than PCA-derived dietary pattern scores (OR = 1.38, 95% CI: 1.27, 1.51). The correlations between RRR-derived dietary pattern scores and elevated systolic and diastolic blood pressure (OR = 1.30 for both) or low high density lipoprotein cholesterol in women (OR = 1.32) were statistically significant but not significant in PCA-derived dietary pattern scores.Conclusions: Our findings suggest that RRR gives better results when studying behavior related dietary patterns in association with MetS. RRR may be more preferable to provide dietary information for developing dietary guidelines among people with MetS. Further studies with prospective measurements are needed to verify whether RRR is a useful analytic tool for the association between dietary patterns and other chronic diseases.

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Is principal components analysis necessary to characterise dietary behaviour in studies of diet and disease?

Public Health Nutrition ◽

10.1079/phn2001122 ◽

2001 ◽

Vol 4 (4) ◽

pp. 903-908 ◽

Cited By ~ 23

Author(s):

Susan E McCann ◽

John Weiner ◽

Saxon Graham ◽

Jo L Freudenheim

Keyword(s):

New York ◽

Principal Components Analysis ◽

Principal Components ◽

Dietary Patterns ◽

Fruits And Vegetables ◽

Disease Status ◽

Dietary Behaviour ◽

Food Groups ◽

Processed Meats ◽

Components Analysis

AbstractObjective:To assess the relative ability of principal components analysis (PCA)-derived dietary patterns to correctly identify cases and controls compared with other methods of characterising food intake.Subjects:Participants in this study were 232 endometrial cancer cases and 639 controls from the Western New York Diet Study, 1986–1991, frequency-matched to cases on age and county of residence.Design:Usual intake in the year preceding interview of 190 foods and beverages was collected during a personal interview using a detailed food-frequency questionnaire. Principal components analysis identified two major dietary patterns which we labelled ‘healthy’ and ‘high fat’. Classification on disease status was assessed with separate discriminant analyses (DAs) for four different characterisation schemes: stepwise DA of 168 food items to identify the subset of foods that best discriminated between cases and controls; foods associated with each PCA-derived dietary pattern; fruits and vegetables (47 items); and stepwise DA of USDA-defined food groups (fresh fruit, canned/frozen fruit, raw vegetables, cooked vegetables, red meat, poultry, fish and seafood, processed meats, snacks and sweets, grain products, dairy, and fats).Results:In general, classification of disease status was somewhat better among cases (54.7% to 67.7%) than controls (54.0% to 63.1%). Correct classification was highest for fruits and vegetables (67.7% and 62.9%, respectively) but comparable to that of the other schemes (49.5% to 66.8%).Conclusions:Our results suggest that the use of principal components analysis to characterise dietary behaviour may not provide substantial advantages over more commonly used, less sophisticated methods of characterising diet.

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Dietary Patterns Trend in Mexican Adolescent Population from 2006 to 2018, by Area of Residence

Current Developments in Nutrition ◽

10.1093/cdn/nzaa046_066 ◽

2020 ◽

Vol 4 (Supplement_2) ◽

pp. 566-566

Author(s):

Teresa Shamah-Levy ◽

Sonia Rodríguez-Ramírez ◽

Elsa Gaona-Pineda ◽

Edith Kim-Herrera ◽

Andrys Valdez-Sánchez

Keyword(s):

Urban Area ◽

Dietary Patterns ◽

Fruits And Vegetables ◽

Red Meat ◽

Leafy Vegetables ◽

Categorical Variables ◽

Processed Foods ◽

Food Groups ◽

Animal Products ◽

Adolescent Population

Abstract Objectives To analyze the dietary patterns trend in Mexican adolescent population from 2006 to 2018 by area of residence. Methods We analyzed information from four National Health and Nutrition Surveys in Mexico from 2006 to 2018. Dietary information was collected using a validated seven-day, semi-quantitative Food frequency questionnaire. We analyzed the consumption of different food groups: 1) Fruits and vegetables (g), 2) Red meat (consumption yes or not), 3) animal products (kcal), 4) sugar-sweetened beverages (SSB) (kcal), and ultra-processed foods (kcal), according to NOVA classification. We estimated the Dietary Diversity Score (DDS), which was constructed based on 10 food groups consumed: 1) grains, roots, and tubers; 2) pulses; 3) nuts and seeds; 4) dairy; 5) meat, poultry and fish; 6) eggs; 7) dark green leafy vegetables; 8) other vitamin A-rich fruits and vegetables; 9) other vegetables; 10) other fruits. Food groups were assigned to 1 if any food item within the group was consumed, otherwise 0. We estimated the proportion of population with consumption of ≥ 400 g of fruits and vegetables/d, with ≥ 5 food groups (Minimum DDS) and percentage of consumers of red meat, and the contribution to the total energy of SSB, ultra-processed food and animal products (energy percentage). Demographic and socio-economic characteristics of sampled individuals such as sex, age, area and socio-economic status (SES) were obtained. The country was divided into urban and rural areas (≥2500 or < 2500 inhabitants, respectively). We used linear and logistic regression models to continuous and categorical variables, respectively. We analyzed difference by area. Results The percentage of population of Minimum DDS was lower in rural when compared with urban area by every year of survey (P < 0.05). The contribution of energy percentage from ultra-processed foods and animal products was lower in rural area than urban area (P < 0.05). The SSB contribution was similar in both areas. Conclusions Current findings show that the area of residence was associated with variations in the consumption of fruits, vegetables and red meat in Mexican adolescents. Consequently, interventions should focus on increasing healthy eating habits in this population, taking into account when designing preventive strategies the area of residence. Funding Sources Mexican Ministry of Health.

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