scholarly journals Can Healthy and Sustainable Dietary Patterns That Fit within Current Dutch Food Habits Be Identified?

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1176
Author(s):  
Samantha N. Heerschop ◽  
Sander Biesbroek ◽  
Elisabeth H. M. Temme ◽  
Marga C. Ocké
Keyword(s):  
Environmental Impact ◽  
Water Use ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Index Score ◽  
Blue Water ◽  
Fruit And Vegetable ◽  
Reduced Rank Regression ◽  
Impact Indicator ◽  
Average Population

This study investigated major healthy and sustainable dietary patterns in the Dutch population. Two 24-hour dietary recalls were collected in 2078 participants aged 19–79 years in the Dutch National Food Consumption Survey 2012–2016. Dietary patterns were identified using reduced rank regression. Predictor variables were food groups and response variables were Dutch Healthy Diet index 2015 (DHD15-index) score, greenhouse gas emissions (GHGE), and blue water use. Three patterns were discovered, including a “high fruit and vegetable dietary pattern”, a “low meat dietary pattern”, and a “high dairy, low fruit juices dietary pattern”. Diets in the highest quartile of these patterns had higher DHD15-index score than the average population. However, diets of the “high fruit and vegetable dietary pattern” were associated with higher dietary GHGE (14%) and blue water use (69.2%) compared to the average population. Diets of the “low meat dietary pattern” were associated with lower GHGE (19.6%) and higher blue water use (7.7%). Concluding, the “low meat dietary pattern” was the most healthy and sustainable dietary pattern in this population. The addition of blue water use as an environmental impact indicator shows the difficulty of finding existing dietary patterns that have low environmental impact in all determinants.

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

2014 ◽  
Vol 112 (8) ◽  
pp. 1364-1372 ◽  
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.

scholarly journals Red Blood Cell Aggregation-Associated Dietary Pattern Predicts Hyperlipidemia and Metabolic Syndrome

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1127 ◽  
Author(s):  
Pei Lin ◽  
Chun-Chao Chang ◽  
Kuo-Ching Yuan ◽  
Hsing-Jung Yeh ◽  
Sheng-Uei Fang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Iron Status ◽  
Transferrin Saturation ◽  
Dietary Factors ◽  
Reduced Rank Regression ◽  
Rbc Aggregation

Red blood cell (RBC) aggregation and iron status are interrelated and strongly influenced by dietary factors, and their alterations pose a great risk of dyslipidemia and metabolic syndrome (MetS). Currently, RBC aggregation-related dietary patterns remain unclear. This study investigated the dietary patterns that were associated with RBC aggregation and their predictive effects on hyperlipidemia and MetS. Anthropometric and blood biochemical data and food frequency questionnaires were collected from 212 adults. Dietary patterns were derived using reduced rank regression from 32 food groups. Adjusted linear regression showed that hepcidin, soluble CD163, and serum transferrin saturation (%TS) independently predicted RBC aggregation (all p < 0.01). Age-, sex-, and log-transformed body mass index (BMI)-adjusted prevalence rate ratio (PRR) showed a significant positive correlation between RBC aggregation and hyperlipidemia (p-trend < 0.05). RBC aggregation and iron-related dietary pattern scores (high consumption of noodles and deep-fried foods and low intake of steamed, boiled, and raw food, dairy products, orange, red, and purple vegetables, white and light-green vegetables, seafood, and rice) were also significantly associated with hyperlipidemia (p-trend < 0.05) and MetS (p-trend = 0.01) after adjusting for age, sex, and log-transformed BMI. Our results may help dieticians develop dietary strategies for preventing dyslipidemia and MetS.

scholarly journals Cross-Sectional, Short-, Medium- and Long-Term Effects of Dietary Pattern on Frailty in Taiwan

2021 ◽  
Vol 18 (18) ◽  
pp. 9717
Author(s):  
Mei-Huey Shiau ◽  
Meng-Chih Lee ◽  
Fang-Ling Lin ◽  
Baai-Shyun Hurng ◽  
Chih-Jung Yeh
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Multinomial Logistic Regression ◽  
Population Based ◽  
Long Term Effects ◽  
Reduced Rank Regression ◽  
Cross Sectional ◽  
Protein Rich ◽  
Healthy Dietary Pattern

This study examined the association between dietary patterns and the development of frailty during 4-, 8-, 12-year follow-up periods in the population-based Taiwan Study. We used the data of an elderly population aged 53 years and over (n = 3486) from four waves of the Taiwan Longitudinal Study on Aging. Frailty was identified by using the modified Fried criteria and the values were summed to derive a frailty score. We applied reduced rank regression to determine dietary patterns, which were divided into tertiles (healthy, general, and unhealthy dietary pattern). We used multinomial logistic regression models to assess the association between dietary patterns and the risk of frailty. The healthy dietary pattern was characterized by a higher intake of antioxidant drinks (tea), energy-rich foods (carbohydrates, e.g., rice, noodles), protein-rich foods (fish, meat, seafood, and eggs), and phytonutrient-rich foods (fruit and dark green vegetables). Compared with the healthy pattern, the unhealthy dietary pattern showed significant cross-sectional, short-term, medium-term, and long-term associations with a higher prevalence of frailty (odds ratios (OR) 2.74; 95% confidence interval (CI) 1.94–3.87, OR 2.55; 95% CI 1.67–3.88, OR 1.66; 95% CI 1.07–2.57, and OR 2.35; 95% CI 1.27–4.34, respectively). Our findings support recommendations to increase the intake of antioxidant drinks, energy-rich foods, protein-rich foods, and phytonutrient-rich foods, which were associated with a non-frail status. This healthy dietary pattern can help prevent frailty over time in elderly people.

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.

scholarly journals Adherence to the EAT-Lancet Healthy Reference Diet in relation to Coronary Heart Disease, All-Cause Mortality Risk and Environmental Impact: results from the EPIC-NL Cohort

2021 ◽  
Author(s):  
Chiara Colizzi ◽  
Marjolein C Harbers ◽  
Reina E Vellinga ◽  
WM Monique Verschuren ◽  
Jolanda MA Boer ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Environmental Impact ◽  
Confidence Interval ◽  
Water Use ◽  
Lower Risk ◽  
Blue Water ◽  
Marine Eutrophication ◽  
All Cause Mortality ◽  
High Adherence ◽  
Freshwater Eutrophication

Objectives: To construct a diet-score measuring the level of adherence to the Healthy Reference Diet (HRD), to explore whether adherence to the HRD is associated with coronary heart disease (CHD), all-cause mortality risk, and to calculate its environmental impact. Design: Prospective cohort study. Setting: The Dutch contribution to the European Prospective Investigation into Cancer and Nutrition (EPIC-NL). Participants: 37,349 adults (20-70y) without CHD at baseline. Main outcome measures: Primary outcomes were incident CHD and all-cause mortality. Secondary outcomes were greenhouse gas emission (GHGE), land use, blue water use, freshwater eutrophication, marine eutrophication, and terrestrial acidification. Results: During a median 15.3-year follow-up, 2,543 cases of CHD occurred, and 5,648 individuals died from all causes. The average HRD-score was 73 (SD=10). High adherence to the HRD was associated with a 15% lower risk of CHD (hazard ratio 0.85, 95% confidence interval 0.75 to 0.96), as well as a 17% lower risk of all-cause mortality (hazard ratio 0.83, 95% confidence interval 0.77 to 0.90) in multivariable-adjusted models. Better adherence to the HRD was associated with lower environmental impact from GHGE (β= -0.10 kg CO2-eq, 95% confidence interval -0.13 to -0.07), land use (β= -0.11 m2 per year, 95% confidence interval -0.12 to -0.09), freshwater eutrophication (β= -0.000002 kg P-eq, 95% confidence interval -0.000004 to -0.000001), marine eutrophication (β= -0.00035 kg N-eq, 95% confidence interval -0.00042 to -0.00029), and terrestrial acidification (β = -0.004 kg SO2-eq, 95% confidence interval -0.004 to -0.003), but with higher environmental impact from blue water use (β=0.044 m3, 95% confidence interval 0.043 to 0.045). Conclusion: High adherence to the HRD was associated with lower risk of CHD and all-cause mortality. Additionally, increasing adherence to the HRD could lower some aspects of the environmental impact of diets, but attention is needed for the associated increase in blue water use.

scholarly journals A Western dietary pattern is prospectively associated with cardio-metabolic traits and incidence of the metabolic syndrome

2018 ◽  
Vol 119 (10) ◽  
pp. 1168-1176 ◽  
Author(s):  
Isabel Drake ◽  
Emily Sonestedt ◽  
Ulrika Ericson ◽  
Peter Wallström ◽  
Marju Orho-Melander
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Dietary Guidelines ◽  
Reduced Rank Regression ◽  
Metabolic Traits ◽  
The Metabolic Syndrome ◽  
Western Dietary Pattern ◽  
Response Variables

AbstractThe aim of this study was to derive dietary patterns associated with cardio-metabolic traits and to examine whether these predict prospective changes in these traits and incidence of the metabolic syndrome (iMetS). Subjects from the Malmö Diet and Cancer Study cardiovascular cohort without cardio-metabolic disease and related drug treatments at baseline (n 4071; aged 45–67 years, 40 % men) were included. We applied reduced rank regression on thirty-eight foods to derive patterns that explain variation in response variables measured at baseline (waist circumference, TAG, HDL- and LDL-cholesterol, systolic and diastolic blood pressure, fasting glucose and insulin). Patterns were examined in relation to change in cardio-metabolic traits and iMetS in subjects who were re-examined after 16·7 years (n 2704). Two dietary patterns (‘Western’ and ‘Drinker’) were retained and explained 3·2 % of the variation in response variables. The ‘Western’ dietary pattern was inversely associated with HDL-cholesterol and positively with all other response variables (both at baseline and follow-up), but there was no association with LDL at follow-up. After adjustment for potential confounders, the ‘Western’ dietary pattern was associated with higher risk of iMetS (hazard ratio Q4 v. Q1: 1·47; 95 % CI 1·23, 1·77; Ptrend=1·5×10−5). The ‘Drinker’ dietary pattern primarily explained variation in HDL and was not associated with iMetS. In conclusion, this study supports current food-based dietary guidelines suggesting that a ‘Western’ dietary pattern with high intakes of sugar-sweetened beverages and red and processed meats and low intakes of wine, cheese, vegetables and high-fibre foods is associated with detrimental effects on cardio-metabolic health.

scholarly journals Environmental Impact of Dietary Choices: Role of the Mediterranean and Other Dietary Patterns in an Italian Cohort

2020 ◽  
Vol 17 (5) ◽  
pp. 1468 ◽  
Author(s):  
Giuseppe Grosso ◽  
Ujué Fresán ◽  
Maira Bes-Rastrollo ◽  
Stefano Marventano ◽  
Fabio Galvano
Keyword(s):  
Land Use ◽  
Environmental Impact ◽  
Water Use ◽  
Dietary Patterns ◽  
Quality Index ◽  
Energy Use ◽  
Ghg Emissions ◽  
Dietary Quality ◽  
The Mediterranean ◽  
The Impact

Background: Current scientific literature suggests healthy dietary patterns may have less environmental impact than current consumption patterns, but most of the studies rely on theoretical modeling. The aim of this study was to assess the impact on resources (land, water, and energy) use and greenhouse gas (GHG) emissions of healthy dietary patterns in a sample of Italian adults. Methods: Participants (n = 1806) were recruited through random sampling in the city of Catania, southern Italy. Dietary consumption was assessed through a validated food frequency questionnaire (FFQ); dietary patterns were calculated through dietary scores. The specific environmental footprints of food item production/processing were obtained from various available life-cycle assessments; a sustainability score was created based on the impact of the four environmental components calculated. Results: The contribution of major food groups to the environmental footprint showed that animal products (dairy, egg, meat, and fish) represented more than half of the impact on GHG emissions and energy requirements; meat products were the stronger contributors to GHG emissions and water use, while dairy products to energy use, and cereals to land use. All patterns investigated, with the exception of the Dietary Approach to Stop Hypertension (DASH), were linearly associated with the sustainability score. Among the components, higher adherence to the Mediterranean diet and Alternate Diet Quality Index (AHEI) was associated with lower GHG emissions, dietary quality index-international (DQI-I) with land use, while Nordic diet with land and water use. Conclusions: In conclusion, the adoption of healthy dietary patterns involves less use of natural resources and GHG emissions, representing eco-friendlier options in Italian adults.

scholarly journals Relationship Between Dietary Patterns Derived by Reduced Rank Regression and Risk of Depression in American Adults

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 464-464
Author(s):  
Peng Zhao ◽  
Yemian Li ◽  
Jingxian Wang ◽  
Yuhui Yang ◽  
Danmeng Liu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
The United States ◽  
Reduced Rank Regression ◽  
Eating Pattern ◽  
Rank Regression ◽  
Reduced Rank ◽  
High Adherence ◽  
Response Variables

Abstract Objectives Depression is one of the most serious mental disorder worldwide. Published studies indicated that nutrients such as folic acid and magnesium may provide a protective effect against it. The purpose of this study was to analyze whether dietary patterns defined by nutrients are associated with the risk of depression. Methods Research data content of 23 464 adults was obtained from the NHANES database. Dietary data were assessed with a valid food frequency questionnaire. Dietary patterns were derived by reduced rank regression with EPA + DHA, folate, Mg and Zn as response variables. The Patient Health Questionnaire was used to assess depressive symptoms (cutoff = 10). We applied logistic regression analyses to test the association between dietary patterns and depressive symptoms. Finally, all samples were divided into three groups: low, medium and high adherence to dietary patterns according to the trinomial score of dietary patterns, and the differences of depression risk among the three groups were compared. Results In total, 3 020 cases with depression were observed. We identified a dietary pattern that was strongly associated with EPA + DHA, folate, Mg and Zn (response variables) intake, which was also characterized by the consumption of vegetables, grains, meat, nuts, beans, peas, and lentils, milk, cheese, oils and solid fats. After adjustment for confounders, a statistically significant association was observed (OR = 0.42, 95%CI: 0.36,0.50; P &lt; 0.001). In addition, compared with the low-adherence group, increasing adherence to this dietary pattern significantly reduced the risk of depression (medium-adherence: OR = 0.62, 95%CI: 0.55,0.71; high-adherence: OR = 0.43, 95%CI: 0.36,0.51; P &lt; 0.001). Conclusions Adults living in the United States have been linked to a lower risk of depression with a high-nutrient eating pattern. Funding Sources National Natural Science Foundation of China and National Key R&D Program of China.

scholarly journals The Global Blue Water Use for the Dutch Diet and Associated Environmental Impact on Water Scarcity

2021 ◽  
Vol 5 (1) ◽  
pp. 10
Author(s):  
Hollander Anne ◽  
Vellinga Reina Elisabeth ◽  
Valk Elias de ◽  
Toxopeus Ido ◽  
Kamp Mirjam van de ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Water Use ◽  
Water Scarcity ◽  
Blue Water

scholarly journals High-Sugar, High-Saturated-Fat Dietary Patterns Are Not Associated with Depressive Symptoms in Middle-Aged Adults in a Prospective Study

2018 ◽  
Vol 148 (10) ◽  
pp. 1598-1604 ◽  
Author(s):  
Esther Vermeulen ◽  
Anika Knüppel ◽  
Martin J Shipley ◽  
Ingeborg A Brouwer ◽  
Marjolein Visser ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Saturated Fat ◽  
Antidepressant Medication ◽  
Epidemiological Studies ◽  
Middle Aged ◽  
Reduced Rank Regression ◽  
Men And Women ◽  
High Sugar

Abstract Background The consumption of unhealthy “Western” dietary patterns has been previously associated with depressive symptoms in different populations. Objective We examined whether high-sugar and high-saturated-fat dietary patterns are associated with depressive symptoms over 5 y in a British cohort of men and women. Methods We used data from the Whitehall II study in 5044 individuals (aged 35–55 y). Diet was assessed at phase 7 (2003–2004) using a validated food-frequency questionnaire. Dietary patterns were derived by using reduced rank regression with sugar, saturated fat, and total fat as response variables. The Center for Epidemiological Studies–Depression (CES-D) scale was used to assess depressive symptoms (CES-D sum score ≥16 and/or use of antidepressant medication) at phase 7 and at phase 9 (2008–2009). We applied logistic regression analyses to test the association between dietary patterns and depressive symptoms. All analyses were stratified by sex. Results In total, 398 cases of recurrent and 295 cases of incident depressive symptoms were observed. We identified 2 dietary patterns: a combined high-sugar and high-saturated-fat (HSHF) and a high-sugar dietary pattern. No association was observed between the dietary patterns and either incidence of or recurrent depressive symptoms in men or women. For example, higher consumption of the HSHF dietary pattern was not associated with recurrent depressive symptoms in men (model 3, quartile 4: OR: 0.67; 95% CI: 0.36, 1.23; P-trend = 0.13) or in women (model 3, quartile 4: OR: 1.26; 95% CI: 0.58, 2.77; P-trend = 0.97). Conclusion Among middle-aged men and women living in the United Kingdom, dietary patterns containing high amounts of sugar and saturated fat are not associated with new onset or recurrence of depressive symptoms.

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