scholarly journals Dietary Patterns in Primary School are of Prospective Relevance for the Development of Body Composition in Two German Pediatric Populations

Nutrients ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1442 ◽  
Author(s):  
Maike Wolters ◽  
Gesa Joslowski ◽  
Sandra Plachta-Danielzik ◽  
Marie Standl ◽  
Manfred Müller ◽  
...  
Keyword(s):  
Body Composition ◽  
Primary School ◽  
Dietary Patterns ◽  
Fast Food ◽  
Principal Component ◽  
Food Group ◽  
Study Cohort ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Frequent Consumption

This study performed comparative analyses in two pediatric cohorts to identify dietary patterns during primary school years and examined their relevance to body composition development. Nutritional and anthropometric data at the beginning of primary school and two or four years later were available from 298 and 372 participants of IDEFICS-Germany (Identification and prevention of Dietary-induced and lifestyle-induced health Effects In Children and infants Study) and the KOPS (Kiel Obesity Prevention Study) cohort, respectively. Principal component analyses (PCA) and reduced rank regression (RRR) were used to identify dietary patterns at baseline and patterns of change in food group intake during primary school years. RRR extracted patterns explaining variations in changes in body mass index (BMI), fat mass index (FMI), and waist-to-height-ratio (WtHR). Associations between pattern adherence and excess gain in BMI, FMI, or WtHR (>75th percentile) during primary school years were examined using logistic regression. Among PCA patterns, only a change towards a more Mediterranean food choice during primary school years were associated with a favorable body composition development in IDEFICS-Germany (p < 0.05). In KOPS, RRR patterns characterized by a frequent consumption of fast foods or starchy carbohydrate foods were consistently associated with an excess gain in BMI and WtHR (all p < 0.005). In IDEFICS-Germany, excess gain in BMI, FMI, and WtHR were predicted by a frequent consumption of nuts, meat, and pizza at baseline and a decrease in the consumption frequency of protein sources and snack carbohydrates during primary school years (all p < 0.01). The study confirms an adverse impact of fast food consumption on body composition during primary school years. Combinations of protein and carbohydrate sources deserve further investigation.

scholarly journals Prospective relevance of dietary patterns at the beginning and during the course of primary school to the development of body composition

2014 ◽  
Vol 111 (8) ◽  
pp. 1488-1498 ◽  
Author(s):  
Katharina Diethelm ◽  
Anke L. B. Günther ◽  
Matthias B. Schulze ◽  
Marie Standl ◽  
Joachim Heinrich ◽  
...  
Keyword(s):  
Body Composition ◽  
Primary School ◽  
Dietary Patterns ◽  
Weight Status ◽  
Principal Component ◽  
Overweight And Obesity ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Lower Baseline ◽  
School Period

Primary school years seem to represent a critical period for the development of overweight and obesity. However, only a few studies have analysed the prospective relationship between dietary patterns and weight status in children. The aims of the present study were to identify dietary patterns at the beginning of and during the primary school period and to examine their relevance to the development of body composition. Nutritional and anthropometric data from 371 participants of the Dortmund Nutritional and Longitudinally Designed (DONALD) Study at the beginning (ages 6 and 7 years) and end (ages 10 and 11 years) of the primary school period were used. Principal component analyses (PCA) were conducted to identify dietary patterns, which were regressed on changes in BMI and fat mass index (FMI) between ages 6 and 7 years and ages 10 and 11 years. Reduced rank regression (RRR) was used to directly extract patterns explaining variation in changes in BMI and FMI between ages 6 and 7 years and ages 10 and 11 years. PCA yielded interpretable patterns of dietary changes at the beginning of and during the primary school period, which were not related to changes in body composition. Conversely, RRR allowed identifying predictive patterns: higher baseline intakes of white bread and lower baseline intakes of whole-grain products as well as increases in the consumption of savoury snacks, sausages and cheese during primary school years independently predicted increases in BMI and FMI during the primary school period. In conclusion, selection of unfavourable carbohydrate sources at the beginning of the primary school period and increases in the consumption of processed savoury foods during primary school years may adversely affect the development of body composition during the course of primary school.

scholarly journals Comparison of two statistical approaches to predict all-cause mortality by dietary patterns in German elderly subjects

2005 ◽  
Vol 93 (5) ◽  
pp. 709-716 ◽  
Author(s):  
Kurt Hoffmann ◽  
Heiner Boeing ◽  
Paolo Boffetta ◽  
Gabriele Nagel ◽  
Philippos Orfanos ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Saturated Fat ◽  
Principal Component ◽  
Energy Sources ◽  
Elderly Subjects ◽  
Monounsaturated Fat ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Relative Risks ◽  
All Cause Mortality

Dietary patterns are comprehensive variables of dietary intake appropriate to model the complex exposure in nutritional research. The objectives of this study were to identify dietary patterns by applying two statistical methods, principal component analysis (PCA) and reduced rank regression (RRR), and to assess their ability to predict all-cause mortality. Motivated by previous studies we chose percentages of energy from different macronutrients as response variables in the RRR analysis. We used data from 9356 German elderly subject enrolled in the European Prospective Investigation into Cancer and Nutrition study. The first RRR pattern, subjects which explained 30·8 % of variation in energy sources and especially much variation in intake of saturated fat, monounsaturated fat and carbohydrates was a significant predictor of all-cause mortality. The pattern score had high positive loadings in all types of meat, butter, sauces and eggs, and was inversely associated with bread and fruits. After adjustment for other known risk factors, the relative risks from the lowest to highest quintiles of the first RRR pattern score were 1·0, 1·01, 0·96, 1·32, 1·61 (P for trend: 0·0004). In contrast, the first two PCA patterns explaining 19·7 % of food intake variation but only 7·0 % of variation in energy sources were not related to mortality. These results suggest that variation in macronutrients is meaningful for mortality and that the RRR method is more appropriate than the classic PCA method to identify dietary patterns relevant to mortality.

scholarly journals Dietary patterns and their associations with metabolic syndrome and predicted 10-year risk of cardiovascular disease in northwest Chinese adults

2020 ◽  
pp. 1-28
Author(s):  
Gulisiya Hailili ◽  
Zhen Chen ◽  
Tian Tian ◽  
Wen-Hui Fu ◽  
Hua-Lian Pei ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Rural Areas ◽  
Principal Component ◽  
Atherosclerotic Cardiovascular Disease ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Logistic Regression Models ◽  
Ascvd Risk

ABSTRACT The diet impact on metabolic syndrome(MetS) and cardiovascular diseases has been investigated widely, but few studies investigated the association between dietary patterns(DPs) and the the predicted cardiovascular disease, derived from reduced-rank regression (RRR). The objectives of this study were to derive DPs using RRR and principal component analysis (PCA), and investigate their associations with MetS and estimated 10-year atherosclerotic cardiovascular disease (ASCVD). We used the baseline dataset from the Xinjiang multi-ethnic cohort study in China, collected from June 2018 to may 2019. A total of 14982 subjects aged 35-74 years from Urumqi, Huo Cheng, and Mo Yu were included in the analysis. The 10-year ASCVD risk was estimated using the Chinse ASCVD risk equations. The associations of DPs with MetS and 10-year ASCVD were determined using multivariable logistic regression models. In Urumqi and Mo yu, the increased RRR DP score was associated with a higher odds ratio (OR) of having the MetS and with a higher OR of elevated 10-year ASCVD risk. However, Only the first DP determined by PCA in Urumqi were inversely associated with MetS and elevated 10-year ASCVD risk. The prevalence of MetS and elevated ASCVD risk in urban population is higher than that in rural areas. Our results may help nutritionists develop more targeted dietary strategies to prevent MetS and ASCVD in different regions in China.

scholarly journals Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults

2015 ◽  
Vol 19 (2) ◽  
pp. 195-203 ◽  
Author(s):  
Carolina Batis ◽  
Michelle A Mendez ◽  
Penny Gordon-Larsen ◽  
Daniela Sotres-Alvarez ◽  
Linda Adair ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Principal Component ◽  
Component Analysis ◽  
Model Assessment ◽  
Reduced Rank Regression ◽  
Nutrition Survey ◽  
Rank Regression ◽  
Reduced Rank

AbstractObjectiveWe examined the association between dietary patterns and diabetes using the strengths of two methods: principal component analysis (PCA) to identify the eating patterns of the population and reduced rank regression (RRR) to derive a pattern that explains the variation in glycated Hb (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR) and fasting glucose.DesignWe measured diet over a 3 d period with 24 h recalls and a household food inventory in 2006 and used it to derive PCA and RRR dietary patterns. The outcomes were measured in 2009.SettingAdults (n 4316) from the China Health and Nutrition Survey.ResultsThe adjusted odds ratio for diabetes prevalence (HbA1c≥6·5 %), comparing the highest dietary pattern score quartile with the lowest, was 1·26 (95 % CI 0·76, 2·08) for a modern high-wheat pattern (PCA; wheat products, fruits, eggs, milk, instant noodles and frozen dumplings), 0·76 (95 % CI 0·49, 1·17) for a traditional southern pattern (PCA; rice, meat, poultry and fish) and 2·37 (95 % CI 1·56, 3·60) for the pattern derived with RRR. By comparing the dietary pattern structures of RRR and PCA, we found that the RRR pattern was also behaviourally meaningful. It combined the deleterious effects of the modern high-wheat pattern (high intakes of wheat buns and breads, deep-fried wheat and soya milk) with the deleterious effects of consuming the opposite of the traditional southern pattern (low intakes of rice, poultry and game, fish and seafood).ConclusionsOur findings suggest that using both PCA and RRR provided useful insights when studying the association of dietary patterns with diabetes.

Relationship between Eating Patterns and Body Composition among Young Females in Qatar

2020 ◽  
Author(s):  
Fatma Elsayed ◽  
Aram Alhammadi ◽  
Alanood Alahmad ◽  
Zahra Babiker ◽  
Abdelhamid Kerkadi
Keyword(s):  
Body Composition ◽  
Dietary Patterns ◽  
Fast Food ◽  
Dietary Habits ◽  
Communicable Disease ◽  
Normal Weight ◽  
Female Students ◽  
Eating Patterns ◽  
Young Females ◽  
Significant Difference

The prevalence of obesity has been increased in Qatar, with the transition from healthy to unhealthy dietary habits. Behavioral factors that are associated with obesity are, long-term imbalanced energy intake, high screen time, skipping breakfast and physical inactivity. Changes in body composition and percent body fat (PBF) increase the risk of non-communicable disease. This study is the first study conducted in Qatar to investigate the relationship between dietary patterns and body composition among young females at Qatar University. This cross-sectional study consisted of 766 healthy female students Qatari and non-Qatari aged from 18-26 years randomly selected from different colleges at Qatar University. A validate questionnaire was used in order to collect data about healthy and unhealthy dietary patterns. Anthropometric measurements involved body weight, height, waist-to-height ratio (WHtR), waist circumference (WC), body mass index (BMI) and body composition using “Seca285”, “Seca203” and “InbodyBiospace 720”. Dietary patterns were identified by using factor loading. Linear regression was used to estimate confidence intervals and regression coefficient. More than half of the participants had a normal weight (65.1%), whereas 22.8 % and 12.0% were overweight and obese, respectively. Fat mass, BMI and PBF were slightly increased with age, but there was no significant difference. Factor analysis identified two dietary patterns: unhealthy patterns and healthy patterns. The frequent intake of vegetables and fruits was significant among high PBF female students (p=0.045 and p=0.001, respectively). The frequent intake of fast food was higher for overweight female students but there was no significant difference (p=0.289), whereas, the frequent intake of sweetened beverages was associated with higher significant rate of normal weight among female students (p = 0.009). No significant relation was found between dietary patterns, BMI and PBF. In conclusion, body composition is not significantly associated with healthy and unhealthy eating patterns among young females.

scholarly journals Exploring absolute and relative measures of exposure to food environments in relation to dietary patterns among European adults

2018 ◽  
Vol 22 (06) ◽  
pp. 1037-1047 ◽  
Author(s):  
MGM Pinho ◽  
JD Mackenbach ◽  
J-M Oppert ◽  
H Charreire ◽  
H Bárdos ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Fast Food ◽  
Principal Component ◽  
Healthy Food ◽  
Cross Sectional Survey ◽  
Spatial Access ◽  
Cross Sectional ◽  
Food Retailers ◽  
Healthy Dietary Pattern

AbstractObjectiveTo explore the associations of absolute and relative measures of exposure to food retailers with dietary patterns, using simpler and more complex measures.DesignCross-sectional survey.SettingUrban regions in Belgium, France, Hungary, the Netherlands and the UK.ParticipantsEuropean adults (n 4942). Supermarkets and local food shops were classified as ‘food retailers providing healthier options’; fast-food/takeaway restaurants, cafés/bars and convenience/liquor stores as ‘food retailers providing less healthy options’. Simpler exposure measures used were density of healthy and density of less healthy food retailers. More complex exposure measures used were: spatial access (combination of density and proximity) to healthy and less healthy food retailers; density of healthier food retailers relative to all food retailers; and a ratio of spatial access scores to healthier and less healthy food retailers. Outcome measures were a healthy or less healthy dietary pattern derived from a principal component analysis (based on consumption of fruits, vegetables, fish, fast foods, sweets and sweetened beverages).ResultsOnly the highest density of less healthy food retailers was significantly associated with the less healthy dietary pattern (β = −129·6; 95 % CI −224·3, −34·8). None of the other absolute density measures nor any of the relative measures of exposures were associated with dietary patterns.ConclusionsMore complex measures of exposure to food retailers did not produce stronger associations with dietary patterns. We had some indication that absolute and relative measures of exposure assess different aspects of the food environment. However, given the lack of significant findings, this needs to be further explored.

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

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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