The reproducibility and stability of dietary patterns

AbstractA person's dietary intake consists of multiple foods eaten as part of a meal as opposed to any one single food/nutrient. Therefore, it is important to understand the interactions between foods and how they affect diet-disease associations. As a result, dietary patterns have emerged as important tools in nutrition research. The objective of the current study is to assess the reproducibility and stability of dietary patterns across four different time-points. Anthropometric measurements were taken from a subset of participants of a free-living cohort study (n = 94), followed by the administration of a 24-hour dietary recall once a month, for four months. The dietary data was entered into dietary analysis software, Nutritics, by two researchers independently, and cross-checked. Foods were assigned to one of 33 predefined food groups, which were further collapsed to 18 food groups based on previous research. Statistical analysis was then performed on the final dataset. Intra-class correlation coefficients were derived to assess the reproducibility of each food group across the four time-points. Variables were standardized using z-scores and dietary patterns were derived using K-means cluster analysis. Stability was assessed by coding participants into one of six groups based on their dietary pattern transition between visit one and four. Analysis of this sub cohort revealed that the intake of food groups (% energy contribution) was reproducible across the time-points. The majority had good to very good agreement, with vegetables and vegetable dishes having the strongest agreement (ICC = 0.831) followed by milk and yogurts (ICC = 0.773), fruit and fruit dishes (ICC = 0.729), and breakfast cereals (ICC = 0.680). Two distinct dietary patterns were identified at each time-point; a ‘Healthy’ and an ‘Unhealthy’ dietary pattern. The ‘Healthy’ dietary pattern was characterized by a significantly higher energy contribution (p < 0.05) from the following food groups – vegetables and vegetable dishes; fruit and fruit dishes; milk and yogurts; breakfast cereals; butter, spreading fats and oils. The analysis on stability demonstrated 42% of participants remained in the same dietary pattern, while 58% transitioned from one dietary pattern to the other. Our results to date demonstrate that two distinct dietary patterns can be derived across multiple time-points using cluster analysis and the food group composition of these dietary patterns can be considered reproducible. Future work will explore these dietary patterns further incorporating the entire cohort and linking stability to health parameters.

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Comparison of cluster and principal component analysis techniques to derive dietary patterns in Irish adults

British Journal Of Nutrition ◽

10.1017/s0007114508014128 ◽

2008 ◽

Vol 101 (4) ◽

pp. 598-608 ◽

Cited By ~ 69

Author(s):

Áine P. Hearty ◽

Michael J. Gibney

Keyword(s):

Principal Component Analysis ◽

Cluster Analysis ◽

Energy Intake ◽

Dietary Patterns ◽

Principal Component ◽

Food Group ◽

Food Groups ◽

Healthy Foods ◽

Percentage Contribution ◽

Group Variable

The aims of the present study were to examine and compare dietary patterns in adults using cluster and factor analyses and to examine the format of the dietary variables on the pattern solutions (i.e. expressed as grams/day (g/d) of each food group or as the percentage contribution to total energy intake). Food intake data were derived from the North/South Ireland Food Consumption Survey 1997–9, which was a randomised cross-sectional study of 7 d recorded food and nutrient intakes of a representative sample of 1379 Irish adults aged 18–64 years. Cluster analysis was performed using thek-means algorithm and principal component analysis (PCA) was used to extract dietary factors. Food data were reduced to thirty-three food groups. For cluster analysis, the most suitable format of the food-group variable was found to be the percentage contribution to energy intake, which produced six clusters: ‘Traditional Irish’; ‘Continental’; ‘Unhealthy foods’; ‘Light-meal foods & low-fat milk’; ‘Healthy foods’; ‘Wholemeal bread & desserts’. For PCA, food groups in the format of g/d were found to be the most suitable format, and this revealed four dietary patterns: ‘Unhealthy foods & high alcohol’; ‘Traditional Irish’; ‘Healthy foods’; ‘Sweet convenience foods & low alcohol’. In summary, cluster and PCA identified similar dietary patterns when presented with the same dataset. However, the two dietary pattern methods required a different format of the food-group variable, and the most appropriate format of the input variable should be considered in future studies.

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Dietary Patterns Are Not Consistently Associated with Variability in Blood Lead Concentrations in Pregnant British Women

Journal of Nutrition ◽

10.1093/jn/nxz023 ◽

2019 ◽

Vol 149 (6) ◽

pp. 1027-1036

Author(s):

Caroline M Taylor ◽

Rita Doerner ◽

Kate Northstone ◽

Katarzyna Kordas

Keyword(s):

Dietary Patterns ◽

Dietary Pattern ◽

Positive Association ◽

Blood Lead ◽

Food Group ◽

Healthy Diet ◽

Birth Cohort Study ◽

Food Groups ◽

Parents And Children ◽

In Pregnancy

ABSTRACT Background During pregnancy lead crosses the placenta freely and can have adverse effects on the fetus, with the potential for lifelong impact on the child. Identification of dietary patterns and food groups in relation to measures of lead status could provide a more useful alternative to nutrient-specific advice to minimize fetal lead exposure. Objectives The aim of this study was to evaluate whether dietary patterns and food groups are associated with blood lead concentration (B-Pb) in pregnancy. Design Whole blood samples were collected at a median of 11 wk gestation (IQR 9–13 wk) from women enrolled in the Avon Longitudinal Study of Parents and Children birth cohort study, and analyzed for lead. Dietary pattern scores were derived from principal components analysis of a food-frequency questionnaire (32 wk gestation). Associations of dietary pattern scores (quartiles), and of food groups (frequency of consumption), with the likelihood of B-Pb ≥5 µg/dL identified with adjusted logistic regression (n = 2167 complete cases). Results There was a negative association between the “confectionery” dietary pattern and the likelihood of B-Pb ≥5 µg/dL (OR: 0.62; 95% CI: 0.41, 0.94) in an adjusted model. There were no associations with other dietary patterns. There was a positive association between the food group “all leafy green and green vegetables” and the likelihood of B-Pb ≥5 µg/dL (OR 1.45; 95% CI: 1.04, 2.01). Conversely, the food group “cakes and biscuits” was negatively associated (OR 0.63; 95% CI: 0.43, 0.93). After multiple imputation, there was a positive association of the “healthy” diet pattern and no association of the “confectionery” pattern. Conclusions We found limited evidence of an association between women's typical diet and B-Pb during pregnancy. Our findings do not indicate need to revise dietary guidance for pregnant women, who are advised to adopt a healthy diet in pregnancy, with a variety of foods consumed in moderation.

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Maternal dietary patterns and associated nutrient intakes during each trimester of pregnancy

Public Health Nutrition ◽

10.1017/s1368980012000997 ◽

2012 ◽

Vol 16 (1) ◽

pp. 97-107 ◽

Cited By ~ 44

Author(s):

Ciara A McGowan ◽

Fionnuala M McAuliffe

Keyword(s):

Cluster Analysis ◽

Pregnant Women ◽

Dietary Patterns ◽

Dietary Pattern ◽

Dietary Intervention ◽

First Trimester ◽

Dietary Guidelines ◽

Food Groups ◽

Food Diary ◽

Nutrient Intakes

AbstractObjectiveTo determine the main dietary patterns of pregnant women during each of the three trimesters of pregnancy and to examine associated nutrient intakes.DesignParticipants completed a 3 d food diary during each trimester of pregnancy. Thirty-six food groups were created and dietary patterns were derived using k-means cluster analysis.SettingNational Maternity Hospital, Dublin, Ireland.SubjectsTwo hundred and eighty-five healthy pregnant women aged between 20 and 41 years.ResultsTwo dietary patterns were identified at each time point. They were labelled ‘Unhealthy’ (n 143, 150 and 155 at trimester 1, 2 and 3, respectively) and ‘Health Conscious’ (n 142, 135 and 130 at trimester 1, 2 and 3, respectively). Women in the ‘Health Conscious’ cluster were significantly older, had lower BMI and were higher educated than those in the ‘Unhealthy’ cluster. Of those in the ‘Unhealthy’ cluster in the first trimester (n 143), 103 (72·0 %) continued in this dietary pattern into trimester 2 and eighty-one (56·6 %) continued into trimester 3. Of those in the ‘Health Conscious’ cluster in trimester 1 (n 142), ninety-five (66·9 %) continued in this dietary pattern into trimester 2 and sixty-nine (48·6 %) continued into trimester 3.ConclusionsCluster analysis produced two clearly defined dietary patterns at each stage of pregnancy. Knowledge of maternal dietary patterns is important for the development of pregnancy-specific dietary guidelines. Identifying women with an ‘Unhealthy’ dietary pattern in early pregnancy affords the opportunity for a dietary intervention which may positively impact both maternal and infant health.

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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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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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Changes in Dietary Patterns among German Adolescents between 2003–2006 and 2014–2017: Results of KiGGS

Proceedings of The Nutrition Society ◽

10.1017/s002966512000302x ◽

2020 ◽

Vol 79 (OCE2) ◽

Author(s):

Almut Richter ◽

Anja Schienkiewitz ◽

Marjolein Haftenberger ◽

Gert B. M. Mensink

Keyword(s):

Food Consumption ◽

Dietary Patterns ◽

Dietary Pattern ◽

Processed Meat ◽

Day Schools ◽

Food Groups ◽

Federal States ◽

The Past ◽

German Federal States ◽

Consumption Habits

AbstractEmpirically derived dietary patterns are useful to describe food consumption habits within population groups. The aim of the study was to analyse dietary patterns as well as changes of these patterns within the last decade among German adolescents.Dietary patterns were analyzed for 12 to 17 years old participants of two waves of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Baseline (2003–2006) N = 5.197 and KiGGS Wave 2 (2014–2017) N = 5.199). KiGGS is part of the nationwide health monitoring in Germany. Food consumption was assessed by a semi-quantitative food frequency questionnaire. Based on this information, dietary patterns were derived using principal component analysis in a former analysis for KiGGS Baseline(1) and in this new analysis for KiGGS Wave 2. In KiGGS Baseline three major dietary patterns were identified (‘western’, ‘traditional’, and ‘healthy’) among boys and two among girls (‘western/traditional’, and ‘healthy’).In KiGGS wave 2 the ‘traditional’ pattern could not be identified anymore among boys and a new pattern, the ‘sandwich’ pattern was identified among girls and boys. The ‘sandwich’ pattern was positively correlated with the intake of bread, processed meat, cheese, butter/margarine, jam, cake/cookies, and among boys also confectionary. Compared to the former ‘traditional’ dietary pattern among boys, the new ‘sandwich‘ pattern shows similarities (bread, processed meat and butter/margarine) but the former warm meal components are missing (meat and potatoes).There were only slight differences in the food groups associated with the ‘western’, ‘western/traditional’ or ‘healthy’ pattern between both surveys.Within the past decade dietary patterns changed among German adolescents. In 2014–2017 a new ‘sandwich’ pattern was identified among boys and girls, and the ‘traditional’ dietary pattern was not found any more among boys. This change could be associated with more frequent food consumption out of home among adolescents. Within the past decade, the school system in many German federal states was restructured from half-day schools towards whole-day schools and the utilization of meal supply within schools almost doubled among adolescents. These changes may have influenced the food consumption habits among adolescents.

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Clustering of Dietary Patterns and Lifestyles Among Spanish Children in the EsNuPI Study †

Nutrients ◽

10.3390/nu12092536 ◽

2020 ◽

Vol 12 (9) ◽

pp. 2536

Author(s):

Julio Plaza-Díaz ◽

Esther Molina-Montes ◽

María José Soto-Méndez ◽

Casandra Madrigal ◽

Ángela Hernández-Ruiz ◽

...

Keyword(s):

Dietary Patterns ◽

Dietary Pattern ◽

Parental Education ◽

Dietary Habits ◽

Pediatric Population ◽

Age Groups ◽

Principal Component ◽

Lifestyle Factors ◽

Study Cohort ◽

Food Groups

Dietary patterns (DPs) are known to be tied to lifestyle behaviors. Understanding DPs and their relationships with lifestyle factors can help to prevent children from engaging in unhealthy dietary practices. We aimed to describe DPs in Spanish children aged 1 to <10 years and to examine their associations with sociodemographic and lifestyle variables. The consumption of toddler and young children milk formulas, enriched and fortified milk within the Spanish pediatric population is increasing, and there is a lack of evidence whether the consumption of this type of milk is causing an impact on nutrient intakes and if they are helping to reach the nutrient recommendations. Within the Nutritional Study in the Spanish Pediatric Population (EsNuPI), we considered two study cohorts and three different age groups in three year-intervals in each of them. The study cohort included 740 children in a representative sample of the urban non-vegan Spanish population and 772 children in a convenience cohort of adapted milk consumers (AMS) (including follow-on formula, toddler’s milk, growing up milk, and fortified and enriched milks) who provided information about sociodemographics, lifestyle, and dietary habits; a food frequency questionnaire was used for the latter. Principal component analysis was performed to identify DPs from 18 food groups. Food groups and sociodemographic/lifestyle variables were combined through a hierarchical cluster algorithm. Three DPs predominated in every age group and study sample: a palatable energy-dense food dietary pattern, and two Mediterranean-like DPs. However, children from the AMS showed a predominant dietary pattern markedly related to the Mediterranean diet, with high consumption of cereals, fruits and vegetables, as well as milk and dairy products. The age of children and certain lifestyle factors, namely level of physical activity, parental education, and household income, correlated closely with the dietary clusters. Thus, the findings provide insight into designing lifestyle interventions that could reverse the appearance of unhealthy DPs in the Spanish child population.

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Patterns of food consumption among vegetarians and non-vegetarians

British Journal Of Nutrition ◽

10.1017/s000711451400261x ◽

2014 ◽

Vol 112 (10) ◽

pp. 1644-1653 ◽

Cited By ~ 68

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.

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Dietary patterns, food groups and myocardial infarction: a case–control study

British Journal Of Nutrition ◽

10.1017/s0007114507701654 ◽

2007 ◽

Vol 98 (2) ◽

pp. 380-387 ◽

Cited By ~ 73

Author(s):

Michael S. K. Lockheart ◽

Lyn M. Steffen ◽

Hege Møklebust Rebnord ◽

Ragnhild Lekven Fimreite ◽

Jetmund Ringstad ◽

...

Keyword(s):

Myocardial Infarction ◽

Dietary Patterns ◽

Dietary Pattern ◽

Case Control Study ◽

A Priori ◽

Case Control ◽

Food Groups ◽

High Fat ◽

Diet Pattern ◽

Control Study

Certain dietary patterns may be related to the risk of CVD. We hypothesised that a plant-centred dietary pattern would be associated with a reduced risk of first myocardial infarction (MI). A case–control study of Norwegian men and postmenopausal women (age 45–75 years) was performed. A FFQ was administered, generally within 3 d after incident MI (n106 cases). Controls (n105) were frequency matched on sex, age and geographic location. On the FFQ, 190 items were categorised into thirty-five food groups and ana priorihealthy diet pattern score was created. We estimated OR using logistic regression with adjustment for energy intake, family history of heart disease, marital status, current smoking, education and age. Among food groups, the risk of MI was significantly higher persdof butter and margarine (OR 1·66 (95 % CI 1·12, 2·46)), and lower persdof tomatoes (OR 0·53 (95 % CI 0·35, 0·79)), high-fat fish (OR 0·57 (95 % CI 0·38, 0·86)), wine (OR 0·58 (95 % CI 0·41, 0·83)), salad (OR 0·59 (95 % CI 0·40, 0·87)), wholegrain breakfast cereals (OR 0·64 (95 % CI 0·45, 0·90)), cruciferous vegetables (OR 0·66 (95 % CI 0·47, 0·93)) and non-hydrogenated vegetable oil (OR 0·68 (95 % CI 0·49, 0·95)). An abundance of cases were found to have a lowa priorihealthy diet pattern score. A dietary pattern emphasising nutrient-rich plant foods and high-fat fish and low intransfatty acids was associated with decreased risk of MI among Norwegians.

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