Type Of Dietary Pattern Research Articles

Associations of dietary patterns with objective and subjective sleep duration and sleep quality in a population-based cohort study

ObjectiveTo examine cross-sectional and longitudinal associations of various types of dietary patterns with self-reported sleep quality and with actigraphy-estimated sleep parameters in the prospective, population-based Rotterdam Study. MethodsFor each participant, scores for five different dietary patterns were derived based on food frequency questionnaires; two pre-defined scores developed to estimate adherence to the Dutch dietary guidelines and to the Mediterranean diet; and three data-driven scores indicating a prudent, unhealthy and typical Dutch diet. In 2589 participants (median age 56.9 years; 58 % female), self-rated sleep quality was assessed with the Pittsburgh Sleep Quality Index. In 533 participants, actigraphs were worn for an average of 6.8 days (SD: 0.7) to estimate total sleep time, sleep onset latency, wake after sleep onset, and sleep efficiency. Sleep parameters were measured at baseline and 3–6 years later. Multiple linear regression was used to assess cross-sectional and longitudinal associations. ResultsNo statistically significant associations between dietary patterns and total sleep time, sleep onset latency, wake after sleep onset, sleep efficiency and subjective sleep quality were observed in cross-sectional or longitudinal analyses. To illustrate, the effect estimate for sleep duration was 2.7 min per night (95 % CI -2.1, 7.5) per 5 point increase in Mediterranean diet score in the cross-sectional analyses. Furthermore, in longitudinal analyses, the effect estimate for sleep duration was −1.0 min per night (95 % CI -5.2, 3.1) per SD increase in the prudent diet. ConclusionsOur results suggest that dietary patterns are not associated with sleep in this population-based cohort study. Trial registrationNetherlands National Trial Register and WHO International Clinical Trials Registry Platform (ICTRP; https://apps.who.int/trialsearch/) shared catalogue number NL6645/NTR6831. Registered November 13th, 2017.

Dietary patterns and associations with metabolic risk factors for non-communicable disease

Unhealthy dietary habit is a major contributor to the burden of non-communicable diseases such as cardiovascular diseases, diabetes, and hypertension, especially the increased burden in low- and middle-income countries. Evidence of the association between specific dietary patterns and health outcomes is scarce in sub–Saharan African countries. This study aimed to identify principal dietary patterns and evaluate associations with metabolic risk factors including hypertension, overweight/obesity, and abdominal obesity in Northwest Ethiopia. A community-based cross-sectional survey was conducted among adults in Bahir Dar, Northwest Ethiopia, from 10 May 2021 to 20 June 2021. Dietary intake was collected using a validated food frequency questionnaire. Anthropometric (weight, height, hip/waist circumference) and blood pressure measurements were performed using standardized tools. Principal component analysis was conducted to derive dietary patterns. Chi-square and logistic regression analyses were used to examine the association between dietary patterns and metabolic risk factors and with sociodemographic and individual risk factors. This study derives two types of dietary patterns: ‘westernized’ dietary pattern, which is positively correlated with consumption of meat, dairy, fast foods, alcohol, fish, sweet/sugary foods, and fruits, and ‘traditional’ dietary pattern, which is positively correlated with intake of cereals, vegetables, legumes, roots/tubers, coffee, and oils. The prevalence of hypertension was significantly lower in adults with higher quantiles of westernized dietary pattern (AOR = 0.28, 95% CI 0.13 to 0.60; p < 0.01; quantile three); and (AOR = 0.35, 95% CI 0.17, 0.75; p < 0.01; quantile four). Younger, married, and middle-income adults were associated with the highest quantile of the westernized pattern. Being females and having middle income associated with the highest quantile of traditional dietary patterns (p < 0.05). This study suggested two types of dietary patterns, westernized and traditional, among adults in Northwest Ethiopia and revealed a significant association with metabolic risk factors like hypertension. Identifying the main dietary patterns in the population could be informative to consider local-based dietary recommendations and interventions to reduce metabolic risk factors.

Dietary patterns in relation with nutritional outcomes and associated factors among adolescents: implications for context-specific dietary intervention for the Agrarian Community, Northwest Ethiopia.

Dietary pattern analysis allows us to characterize the dietary intakes of individuals rather than nutrient intake data and strongly predicts disease risks. The relationship between food intake and adolescents' nutritional health is not well understood yet. Therefore, this study aimed to generate evidence for context-specific dietary intervention for adolescents. This study aimed to determine dietary patterns and their relationship with nutritional outcomes and identify the contributing factors among adolescents in the Agrarian Community of Northwest Ethiopia. A cross-sectional survey was conducted among 622 randomly selected adolescents. Dietary data were collected over a 1-week recall period using the Food Frequency Questionnaire (FFQ). After testing the basic assumptions, an exploratory factor analysis was conducted to determine the dietary patterns. Anthropometric data on weight and height were collected to determine the nutritional status using WHO Anthroplus 2010 software. A chi-square test was conducted to evaluate the effect of different dietary patterns on nutritional outcomes. A multivariable binary logistic regression model was used to identify factors affecting the dietary patterns of adolescents. Three types of dietary patterns, namely, traditional, mixed, and animal-source foods with traditional alcoholic beverage consumption were identified. These dietary patterns explain 58.64% of the variance in adolescent diet in the study setting. The burden of stunting was 15.12% vs. 11.21, 19.40% vs. 6.94, and 8.36% vs.17.97% among adolescents with lower traditional, mixed, and higher animal sources with alcoholic dietary pattern consumption habits, respectively (value of p <0.05). Adolescents who resided in low-land agroecology (AOR = 2.44; 95% CL: 1.24, 4.81) and had access to animal-source foods (AOR = 1.64; 95% CI: 1.04, 2.60) were associated with lower consumption of traditional dietary patterns. Similarly, adolescents who resided in low-land (AOR = 1.80; 95% CI: 1.18, 2.74) had formal education (AOR = 2.38; 95% CI: 1.35, 4.19) and had poor nutrition knowledge (AOR = 2.83; 95% CL: 1.55, 5.19) were associated with lower consumption of mixed dietary patterns. Moreover, adolescents residing in the high-land (AOR = 2.50; 95% CI: 1.37, 4.56) and being female (AOR =1.87; 95% CI: 1.27, 2.74) were significant factors associated with lower consumption of animal-sourced foods with traditional alcoholic beverage consumption patterns. Multidimensional modifiable factors were explored that could be targeted for public health interventions for the identified dietary patterns. Integrated and multifaceted dietary intervention approaches are needed to promote healthy diets and discourage the consumption of unhealthy diets to reduce undernutrition in the study area and similar settings.

Analysis of different plant- and animal-based dietary patterns and their relationship with serum uric acid levels in Chinese adults

BackgroundDietary patterns play an important role in regulating serum uric acid levels in the body, but evidence for the association between different kinds of plant-based and animal-based dietary patterns and individual serum uric acid levels is scarce and inconsistent.MethodsWe analyzed data from the sixth wave of the China Health and Nutrition Survey. The plant-based diet of 7,806 participants was determined using three consecutive 24-hour dietary recalls, and latent profile analysis was used to identify dietary patterns among participants. Serum uric acid levels were analyzed using the enzymatic colorimetric method. The association between intakes of different types of dietary pattern and individual serum uric acid levels was analyzed using linear regression analysis, after adjusting for confounding variables.ResultsWe identified three types of plant-based dietary patterns, namely, low tuber starches and vegetable plant-based diet (LTVP), high cereal, tuber starches and vegetable plant-based diet (HCTVP), and high legume and fruit plant-based diet (HLFP). We also identified three types of animal-based dietary patterns, namely, high milk and egg animal-based diet (HMiEA), low egg and fish animal-based diet, and high meat and fish animal-based diet (HMeFA). Significant coefficients for participant serum uric acid levels were observed for the HCTVP diet (β = −0.022, P = 0.031) and HMeFA diet (β = 0.061, P < 0.001). The median intake of foods in the HCTVP diet was as follows: cereals and cereal products, 444.83 g/d; tubers and starch products, 166.67 g/d; dried legumes and legume products, 8.33 g/d; vegetables and vegetable products, 333.33 g/d; and fruits and fruit products, 0 g/d. The median intake of foods in the HMeFA diet was as follows: meat and meat products, 73.33 g/d; poultry and poultry products, 0 g/d; milk and milk products, 0 g/d; eggs and egg products, 26.67 g/d; and fish, shellfish, and mollusks, 180.00 g/d.ConclusionWe showed that individual serum uric acid levels (1) might decrease under the plant-based HCTVP diet, (2) might increase under the animal-based HMeFA diet, (3) might not decrease under the plant-based HLFP diet, and (4) might not increase under the animal-based HMiEA diet. Further studies are needed to confirm these associations.

The Obesity-Related Dietary Pattern Is Associated with Higher Risk of Sleep Disorders: A Cross-Sectional Study from NHANES.

Evidence on the association between dietary patterns and sleep disorders is limited and controversial. In addition, studies evaluating the effect of dietary patterns on sleep disorders have seldom considered the critical role of obesity. We aimed to explore obesity-related dietary patterns and evaluate their impact on sleep disorders using data from the National Health and Nutrition Examination Survey 2005–2014. In total, 19,892 participants aged over 20 years with two-day dietary recalls were enrolled. Obesity-related dietary patterns explaining most variance in waist circumference and BMI simultaneously were extracted from twenty-six food groups by the using partial least squares method. Sleep disorder and sleep duration, which were defined by self-reported questions, were the primary and the secondary outcome, respectively. Generalized linear models were performed to estimate the association of sleep disorders and sleep duration with dietary patterns. Two types of dietary patterns were identified. The “high fats, refined grains, and meat” pattern was characterized by high intakes of solid fats, cured meat, potatoes, refined grains, meat, cheese, and added sugars. The “low whole grains, vegetables, and fruits” pattern was characterized by low intakes of oils, whole grains, nuts and seeds, milk, fruits, and several vegetables. Participants with the highest adherence to the “high fats, refined grains, and meat” pattern had a higher risk for sleep disorders (OR (95%CI): 1.43 (1.12, 1.84)) and shorter sleep duration (β (95%CI): −0.17 (−0.26, −0.08)) compared to those with the lowest adherence. The corresponding associations for the “low whole grains, vegetables, and fruits” pattern were only significant for sleep duration (β (95%CI): −0.26 (−0.37, −0.15)). Our results found that the dietary pattern characterized by high solid fats, cured meat, potatoes, refined grains, meat, cheese, and added sugars, was associated with a higher risk for sleep disorders and shorter sleep duration.

Relationship of Diet to Gut Microbiota and Inflammatory Biomarkers in People with HIV.

While changes in microbiome composition have been associated with HIV, the effect of diet and its potential impact on inflammation remains unclear. Methods: Twenty-seven people living with HIV (PWH) on antiretroviral therapy (ART) were studied. A comprehensive dietary analysis was performed and two types of dietary patterns were determined. We explored the associations of each dietary pattern with gut microbiota and plasma inflammatory biomarkers. Results: We appreciated two dietary patterns, Mediterranean-like (MEL) and one Western-like (WEL). Compared to participants with the WEL pattern, participants with MEL pattern showed higher abundance of Lachnospira (p-value = 0.02) and lower levels of the inflammatory biomarkers D-dimer (p-value = 0.050) and soluble TNF-alpha receptor 2 (sTNFR2) (p-value = 0.049). Men who have sex with men (MSM) with MEL pattern had lower abundance of Erysipelotrichaceae (p-value < 0.001) and lower levels of D-dimer (p-value = 0.026) than MSM with WEL pattern. Conclusion: MEL pattern favours Lachnospira abundance, and protects against Erysipelotrichaceae abundance and higher levels of the inflammatory biomarkers D-dimer and sTNFR2, precursors of inflammatory processes in HIV-infected patients. Our study contributes to understanding the determinants of a healthier diet and its connections with gut microbiota and inflammation.

A Qualitative Exploration of Pregnancy Experience With a Nutrient-Dense, Plant-Rich Dietary Pattern: A Pilot Study.

A nutrient-dense, plant-rich diet may be promising as a nutrition intervention for pregnant women for a number of factors. Factors include the possibility of a decreased risk for gestational diabetes, excess weight gain, and preeclampsia. Little is known about the experience of following this type of dietary pattern while pregnant and what barriers are present that should be addressed in a large-scale intervention. Qualitative interviews were used to understand the personal experience of women who aimed to eat a nutrient-dense plant-rich diet while pregnant. Semi-structured interviews were conducted from June to August 2020. Three main themes regarding a nutrient-dense plant-rich diet emerged. First, family and social influence played an important role. Second, women who had a previous pregnancy felt they had fewer pregnancy symptoms on this diet. Last, the participants may have experienced a reduced milk supply on this dietary plan. Future research should consider family context as a factor in adherence to a nutrient-dense plant-rich dietary pattern, investigate the possible associations between nutrient-dense plant-rich dietary patterns and reduced nausea and vomiting in early pregnancy, and determine whether nutrient-dense, plant-rich dietary patterns contribute to a reduction in milk production for women who experience over-engorgement.

Unsupervised Diet Partitions Better Explain Variations of the Gut Microbiome Compared to Individual Dietary Markers in U.S. Adults of the American Gut Project Cohort

Abstract Objectives Eating habits have been shown to impact the gut microbiome. Here we aimed to define several types of dietary patterns in a U.S. adult cohort and test their associations with the gut microbiome. Methods Using supervised and unsupervised approaches, we built dietary patterns based on a food frequency questionnaire of the American Gut Project database. Focusing on 1800 adult participants living in the United States, we defined patterns as partitions (groups of participants) or factors (combinations of food variables) driven by specific dietary criteria: fibers, proteins, Healthy Eating Index (HEI 2010), food items, food groups and micronutrients. We then associated these patterns with 16S gut microbiome data for 744 participants, excluding those reporting antibiotic intake in the last year or specific diseases. Analyses were adjusted for age, sex and BMI. Results Compared to individual features like fibers and proteins, or to factors representing reduced numbers of features, five unsupervised partitions based on food groups were best associated with gut microbiome beta-diversity. Two partitions presented a lower consumption of animal products, with one being almost completely exclusive and the other, close to a flexitarian diet, presenting the best diet quality as measured by HEI. A third one consisted mostly of participants under low carbohydrate diets with nearly no consumption of starchy foods or sweet products. Finally, the last two partitions presented Western-like diets with increased consumption of mixed dishes, sweet products and refined cereals, one of them being more diverse with increased nuts and whole cereals. Gut microbiome alpha-diversity was slightly increased in the flexitarian partition compared to the most westernized one. Strikingly, the low carbohydrate partition was associated with low levels of the Bifidobacterium genus. Conclusions We showed in a U.S. adult cohort that a global diet may be more associated with gut microbiome variations than individual features like fibers or proteins. Five diet partitions were identified and their specific associations with gut microbiome were studied. These results confirm the importance to consider diet as a whole when studying gut microbiota diversity. Funding Sources Danone Research.

Association between Dietary Patterns and Handgrip Strength: Analysis of the Korean National Health and Nutrition Examination Survey Data Between 2014 and 2017.

Non-invasive anthropometric measurement methods such as those for measuring height and weight are crucial in pediatric patients. However, research focusing on the association between the type of dietary pattern and handgrip strength and handgrip-to-weight ratio in adolescents has not been carried out yet. This cross-sectional analysis of the 2014–2017 Korean National Health and Nutrition Examination Survey assessed 2327 adolescents (aged 10–18 years) who had their handgrip strength measured and analyzed its association with dietary pattern. The clusters were examined for nutritional values, and the ready-to-eat, balanced, and Western-style fast-food clusters were ultimately generated. Overall, 85.6% of the participants were assigned to a ready-to-eat dietary pattern, 9.3% to a Western-style fast-food dietary pattern, and 5.1% to a balanced dietary pattern. Compared with the participants following a balanced dietary pattern, those following a ready-to-eat dietary pattern were shown to have a significantly lower handgrip strength and handgrip-to-weight ratio. Decreased handgrip strength and handgrip-to-weight ratio values in participants following ready-to-eat dietary patterns indicate a diffuse problem in adolescents’ health and possibly imply an association between reduced muscle quality and dietary pattern. Therefore, the overall environmental factors potentially inducing such unhealthy dietary preferences should be investigated, and appropriate lifestyle changes in Korean adolescents should be encouraged.

Dietary Patterns and Muscle Mass, Muscle Strength, and Physical Performance in the Elderly: A 3-Year Cohort Study.

Nutritional support effectively prevents and treats sarcopenia; however, the influence of overall dietary patterns on sarcopenia parameters is less investigated. This study aimed to determine the association between adherence to Mediterranean-style diet (MD), Dietary Approaches to Stop Hypertension (DASH), Japanese Food Guide Spinning Top (JFG-ST), and modified JFG-ST (mJFG-ST) and muscle mass, muscle strength, and physical performance in community-dwelling Japanese elderly. This prospective cohort study recruited individuals aged over 60 years from a community college in Nagoya, Japan. A total of 666 participants were followed up annually from 2014 to 2017. Demographic data, anthropometric measurements, and sarcopenia parameters including walking speed (WS), hand grip strength in the dominant hand (HGS), and skeletal mass index (SMI) were recorded. Self-recall dietary intake was assessed using a validated food frequency questionnaire comprising 29 food groups. Adherence to MD, DASH, JFG-ST, and mJFG-ST was determined by tertiles. At baseline, the mean age of all participants (56.5% women) was 69.4±4.4 years. WS, HGS, and SMI were 1.4±0.2 (m/s), 28.9±8.1 (kg), and 6.7±1.0 (kg/m2), respectively. In longitudinal analysis, participants with higher JFG-ST adherence scores were more likely to have higher SMI (Q3 vs. Q1: mean difference, 0.048; p=0.04) after adjustment, and its benefits were more evident in men (Q2 vs. Q1: mean difference, 0.098; p=0.047; Q3 vs. Q1: mean difference, 0.091; p=0.017) than in women. WS and HGS were not associated with any type of dietary pattern. Adherence to JFG-ST was positively associated with SMI in Japanese community-dwelling elderly adults aged over 60 years, specifically in men. The country-specific dietary recommendations are required to be developed for sarcopenia prevention.

A Perspective on the Transition to Plant-Based Diets: a Diet Change May Attenuate Climate Change, but Can It Also Attenuate Obesity and Chronic Disease Risk?

Current dietary guidelines advocate more plant-based, sustainable diets on the basis of scientific evidence about diet-health relations but also to address environmental concerns. Here, we critically review the effects of plant-based diets on the prevalence of obesity and other health outcomes. Plant-based diets per se have limited efficacy for the prevention and treatment of obesity, but most have beneficial effects in terms of chronic disease risk. However, with the considerable possibilities of translating plant-based diets into various types of dietary patterns, our analysis suggests that potential adverse health effects should also be considered in relation to vulnerable groups of the population. A transition to more plant-based diets may exert beneficial effects on the environment, but is unlikely to affect obesity, and may also have adverse health effects if this change is made without careful consideration of the nutritional needs of the individual relative to the adequacy of the dietary intake.

The role of gut microbiota and nutrition features in the pathogenesis of multiple sclerosis and its course

The study of the role of microbiota in the pathogenesis of autoimmune and demyelinating diseases is of a particular importance. Experimental data obtained during the last 10 years shows a close connection between the immune system and the gut microbiota. In the analyzed literature, additional evidence was found that microbial involvement in immunoregulation and the influence of gut microbiota on the development of various immunomediated diseases: rheumatoid arthritis, psoriasis, Sjogren syndrome, multiple sclerosis, metabolic syndrome, autoimmune hepatitis, type 1 diabetes, spondylarthritis and inflammatory bowel disease. Studies from recent years have shown that intestinal microbiota with the help of numerical microbial compounds, autonomic nervous system of the allocation of neurometabolites, signaling molecules, neurotransmitters has an effect on the functioning of the central nervous system, in connection with which the model of the intestinal‑cerebral axis was proposed, which involves the interregulation between CNS and intestinal microbiota. Detection of the influence of microbiota on the functioning of the immune and nervous systems raised the interest in microbiota of the intestine as an etiopathogenetic factor in the development of autoimmune diseases such as multiple sclerosis. However, during studies analysis, it was established that because of the nature and composition of microbiota in patients with multiple sclerosis, it is impossible to say with certainty which type of microorganisms is associated with the onset of the disease and its course. Therefore further research is aimed at the study of microbiota and the interdependence of the species composition of microorganisms necessary for clarification of the influence on methods of correction of disorders in patients with multiple sclerosis. It has been established that an important element of the study of microbiota composition is the study of the nutrition, as the dietetic pattern determines the enterotype of a person and affects the concentration and distribution of microorganisms in the intestine. That is why it is necessary to combine modern methods of studying the composition of microbiota and to compare with the type of dietary pattern found in the patient.

The Mediterranean diet and its association with selected gut bacteria.

Mediterranean diet is often viewed in the context of impact on composition of gut microbiota and its consequences on prevention and treatment of various diseases. It is known how complex carbohydrates present in this type of dietary pattern are fermented by healthy gut microbiota, producing in turn short-chained fatty acids with purported benefits for human health, whereas other mechanisms and interactions play a role as well. Recent research endeavors take a step further and demonstrate how exactly Mediterranean diet can affect the composition, activity, and diversity of intestinal microorganisms and their metabolomic profiles, and how these alterations can be linked to various chronic diseases. A change in the ratio of two dominant gut phyla (Firmicutes and Bacteroidetes) represents a hallmark feature of many diseases, which can be influenced by introducing dietary modifications. In addition, gut microbiota composition as a whole may serve as a marker of Mediterranean diet adherence. Increasing our knowledge and awareness of diet-microbiota interdependence may result in specific and targeted dietary approaches for microbial modulation and subsequent disease risk reduction, with Mediterranean diet serving as a blueprint for healthy eating.

The Impact of DJOS Surgery, a High Fat Diet and a Control Diet on the Enzymes of Glucose Metabolism in the Liver and Muscles of Sprague-Dawley Rats.

The prevalence of diabetes type 2 (T2DM) and obesity is growing exponentially and becoming a global public health problem. The enzymes of glucose metabolism play a role in the pathogenesis of insulin resistance and T2DM. A pathophysiological link between different dietary patterns, HFD, obesity, T2DM and the enzymes of glucose metabolism can be used as a potential target in therapeutic strategies for the treatment of obesity, and T2DM. The aim of this study was to measure the impact of DJOS bariatric surgery and different types of dietary patterns on glycogen synthase kinase 3 α (GSK-3α), glycogen phosphorylase (PYGM, PYGL), and phosphofructokinase (PFK-1) concentrations in liver and soleus muscle tissues of rats. After 8 weeks on a high-fat diet (HF) or control diet (CD), rats underwent duodenal-jejunal omega switch (DJOS) or SHAM (control) surgery. After surgery, for the next 8 weeks, half of DJOS/SHAM animals were kept on the same diet as before, and half had a changed diet. The concentrations of GSK-3α, PYGM, PYGL and PFK-1 were measured in the soleus muscles and livers of the Sprague-Dawley rats. The type of diet applied before/after surgery had stronger impact on levels of selected metabolic enzymes than DJOS or SHAM surgery. The impact of DJOS surgery was visible for GSK-3α and PYGL concentration in the liver but not in the soleus muscle tissue. The type of bariatric surgery had an impact on liver GSK-3α concentration in all studied groups except the CD/CD group, where the impact of diet was stronger. DJOS bariatric surgery influenced the level of PYGL in the livers of rats maintained on the CD/CD diet but not from other groups. The dietary patterns applied before and after bariatric surgery, had a stronger impact on enzymes’ concentrations than DJOS surgery, and the strong, deleterious effect of an HF was observed. A change of the diet per se showed a negative impact on the enzymes’ tissue concentration.

Erythrocytes polyunsaturated fatty acids mediate relationship between dietary patterns and depression.

Background: This study aimed to examine the association between depression and dietary patterns via the intermediary role of erythrocytes polyunsaturated fatty acids (PUFA). Methods: In this individually matched case-control study, the dietary patterns were extracted for 330 individuals using factor analysis. Furthermore, erythrocyte PUFAs including n-3 and n-6 were assessed using a GC-Mass spectrometry analytical method for 84 people. Depression was diagnosed using the criteria mentioned in the Diagnostic and Statistical Manual of Mental Disorders. The dietary patterns were also extracted using a valid and reliable semi-quantitative food frequency questionnaire. Results: The findings showed that healthy dietary patterns were related to the risk of depression (P=0.01, odds ratio (OR)=0.31, 95% confidence interval (CI): 0.14-0.68) by the increase of ratio n-3 /n-6 PUFA (p≤0.03) and decrease of ratio n-6 /n-3 PUFA (p≤0.005). Moreover, the unhealthy dietary patterns were associated with the risk of depression (P=0.02, OR=2.7, 95%CI: 1.25-5.9) by the decrease of ratio n-3/n-6 PUFA (p≤0.03) and increase of ratio n-6/n-3 PUFA (p≤0.001). Conclusion: Based on the results, the type of dietary pattern is related to the risk of depression considering the changes in n-3 and n-6 PUFA as well as the ratio of n-3 to n-6 as the mediator variables. Of course, further studies are required in this area.

A priori and a posteriori derived dietary patterns in infancy and cardiometabolic health in childhood: The role of body composition

Cardiometabolic risk has its origins in early life. However, it is unclear whether diet during early childhood is associated with cardiometabolic health, and what the role is of obesity. We aimed to study whether overall diet during early childhood is associated with cardiometabolic health and to examine if difference in body composition explain this association. We examined associations of different types of dietary patterns in infancy with cardiometabolic health at school age among 2026 Dutch children participating in a population-based cohort in the Netherlands. Food intake at the age of 1 year was assessed with a food-frequency questionnaire. Three dietary pattern approaches were used: 1) An a priori-defined diet quality score; 2) dietary patterns based on variation in food intake, derived from principal component analysis (PCA); and 3) dietary patterns based on variations in fat and fat-free mass index, derived with reduced-rank regression (RRR). At the children's age of 6 years, we measured their body composition, systolic and diastolic blood pressure, and serum concentrations of insulin, triglycerides, and HDL-cholesterol, which we combined in a cardiometabolic risk-factor score. We observed that, after adjustment for confounders, children with higher adherence to a 'Health-conscious' PCA-derived pattern had a lower cardiometabolic risk-factor score (-0.07 SD (95%CI-0.12;-0.02) per SD). This association did not change after adjustment for fat and fat-free mass index. The RRR-derived dietary patterns based on variations in body composition were not associated with the cardiometabolic risk-factor score. Our results suggest that diet in early childhood may affect cardiometabolic health independent of differences in body composition.

A priori and a posteriori dietary patterns at the age of 1year and body composition at the age of 6years: the Generation R Study.

Dietary patterns have been linked to obesity in adults, however, not much is known about this association in early childhood. We examined associations of different types of dietary patterns in 1-year-old children with body composition at school age in 2026 children participating in a population-based cohort study. Dietary intake at the age of 1 year was assessed with a food-frequency questionnaire. At the children’s age of 6 years we measured their body composition with dual-energy X-ray absorptiometry and we calculated body mass index, fat mass index (FMI), and fat-free mass index (FFMI). Three dietary pattern approaches were used: (1) An a priori-defined diet quality score; (2) dietary patterns based on variation in food intake, derived from principal-component-analysis (PCA); and (3) dietary patterns based on variations in FMI and FFMI, derived with reduced-rank-regression (RRR). Both the a priori-defined diet score and a ‘Health-conscious’ PCA-pattern were characterized by a high intake of fruit, vegetables, grains, and vegetable oils, and, after adjustment for confounders, children with higher adherence to these patterns had a higher FFMI at 6 years [0.19 SD (95 % CI 0.08;0.30) per SD increase in diet score], but had no different FMI. One of the two RRR-patterns was also positively associated with FFMI and was characterized by intake of whole grains, pasta and rice, and vegetable oils. Our results suggest that different a priori- and a posteriori-derived health-conscious dietary patterns in early childhood are associated with a higher fat-free mass, but not with fat mass, in later childhood.Electronic supplementary materialThe online version of this article (doi:10.1007/s10654-016-0179-x) contains supplementary material, which is available to authorized users.

Childhood dietary patterns and later obesity: a review of the evidence

A range of individual nutrients and foods have been suggested to increase obesity risk in childhood, but the evidence is inconsistent. Dietary patterns that summarise the whole diet may, however, be more informative. The aim of the present paper was to systematically review the current evidence pertaining to overall dietary patterns in childhood and later obesity risk. Studies eligible for review identified childhood dietary patterns using an empirical method, i.e. principal components analysis, factor analysis or reduced rank regression, and reported their prospective associations with an obesity-related outcome. Literature searches identified 166 studies and of these, seven met the eligibility criteria. Despite differences between studies, a common dietary pattern was identified in all seven studies that was high in energy-dense, high-fat and low-fibre foods. The quality of studies varied, however; the four studies reporting positive associations between this type of dietary pattern and later obesity risk were of consistently higher quality than those reporting null associations. The balance of evidence from this systematic review indicates that dietary patterns that are high in energy-dense, high-fat and low-fibre foods predispose young people to later overweight and obesity. It also highlights that examining multiple dietary factors within a dietary pattern may better explain obesity risk than individual nutrients or foods. However, more prospective studies are needed and dietary pattern research requires greater rigour and focus, to further clarify the role of dietary factors in the aetiology of obesity and inform future interventions.

Dietary Patterns, Anthropometry and Metabolic Cardiovascular Risk

Cardiovascular disease is the leading cause of morbidity and mortality in developed countries. Early detection of high-risk individuals is essential in order to adopt more effective preventive and therapeutic measures. One of the most controversial issues today is how to manage eating habits in order to establish the best diet: current data suggest that promotion of healthy eating habits—consumption of fruit and vegetables, limitation of fat intake to unsaturated fats—could help to significantly reduce the number of cardiovascular risk factors and the risk of suffering from metabolic syndrome, and that maintaining these measures over time could help maintain, and even reduce, body weight. Some recent studies, likes DORICA study analyzes the association between the predominant dietary patterns and the presence of cardiovascular risk factors. The hypothesis is that the most traditional consumption patterns (for example the Mediterranean diet) are associated with a healthier cardiovascular profile in the Spanish adult population. The results of DORICA revealed that energy intake was 2560 (797) kcal in men and 2230 (665) kcal in women, and that fats accounted for 39.3% of energy intake in women and 37% in men. In other words, 47% of men and 64% of women have fat intakes that are above the recommended levels. In addition, 87% have cholesterol levels above 100 mg/1000 kcal, especially men younger than 45 years (89%). This study analyze 3 types of dietary patterns: I) high-protein pattern, with a high consumption of meat, cereals, potatoes, and alcoholic drinks; II) unbalanced pattern, with a high consumption of milk and its derivatives, and a low consumption of fruit, cereals, vegetables, and potatoes; and III) Mediterranean pattern, with a high consumption of fish, vegetables, fruit, and olive oil. The results show that the Mediterranean pattern consumed more unsaturated fats than the other two, in terms of both the mean and for the quartiles. SF intake, on the other hand, was lower in this pattern, which also had the smallest values for the Keys and Hegsted indices. The highest values for these indices were observed in the high-protein pattern. The same was true for cholesterol intake. The Mediterranean pattern had the highest intake of fiber. The study concluded that, in terms of nutrition and eating habits, the Mediterranean pattern was characterized by a higher intake of fats, although these were mainly unsaturated, with a clear predominance of MUF. Fiber intake was good, with a high consumption of fruit, vegetables, and fish. This pattern also had the lowest number of smokers. On the contrary, the unbalanced pattern had the least favorable cardiovascular profile, with a predominance of SFs. In summary, this phase of the DORICA study suggests that a Mediterranean-type diet—with increased intake of fruit, vegetables, fish, and olive oil, in combination with moderate physical activity—is the most favorable profile in terms of the weighted estimates and of cardiovascular risk factors in our setting. Keywords: Diet, Anthropometry, Cardiometabolic Risk. Read more →

Influence of Family Status on the Dietary Patterns and Nutritional Levels of Children

A diversity of socio economic and cultural factors contributes towards maintenance and changes in dietary patterns of people. Therefore People around the world have adapted different types of dietary patterns for their survival. Aim of this study was to investigate the most relevant factors influencing human dietary patterns. Sample for the study was selected by using the Stratified sampling technique, which consists of 390 families residing around the Abatenna estate, Bandarawela municipal council, Sri Lanka. Principal component analysis techniques and correlation analysis were employed to identify the most relevant factors which affect human dietary patterns. Results of the study indicate that socio economic conditions, monthly income, number of children in a family, dietary patterns and weight-related behaviors are highly co-related with each other. These findings suggest that education and awareness programs on nutrition should target low income groups to enhance their knowledge on dietary patterns.