scholarly journals Maternal Dietary Patterns by Reduced Rank Regression Are Associated With Low Birth Weight Outcomes in Mothers and Children's Environmental Health Cohort

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1044-1044
Author(s):  
Jiyoung Hwang ◽  
Dayeon Shin ◽  
Hyesook Kim ◽  
Oran Kwon
Keyword(s):  
Birth Weight ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Lower Risk ◽  
Food Groups ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank ◽  
Low Weight ◽  
Children’S Environmental Health

Abstract Objectives This study aims to identify the associations between maternal dietary patterns and the risks of low birth weight (≤ 10th percentile). Methods A total of 1,751 mothers and their newborns recruited for the Mothers and Children's Environmental Health cohort study between 2006 and 2010. A semiquantitative FFQ for nutrient intakes was collected and dietary patterns were derived using Reduced Rank Regression (RRR). A total of 138 food items were categorized into 40 pre-defined food groups. In this study, log transformed maternal intakes of folate, iron, and zinc were selected as the intermediate response variables based on the associations with birth weight. Associations were assessed by logistic regression with adjustment for confounding factors. Results All of energy and nutrient intakes of dietary pattern 1, characterized by high intakes of grain, green/yellow, and light-colored vegetables, legumes, fruits, red meat, poultry, eggs, fishes, seaweeds, tofu/soymilk, yogurt, and nuts significantly increased as the from quartile one to quartile four. Biochemical marker levels such as triglyceride, C-reactive protein, and malondialdehyde levels were significantly decreased from quartile one to quartile four in pattern 1. Pregnant women, who adhered to pattern 1 had a lower risk of low weight at birth in the highest quartile compared to the lowest quartile (adjusted odds ratio 0.35, 95% confidence interval 0.32–0.95). No association was observed for pattern 2(green/yellow vegetables, light-colored vegetables, kimchi, and seaweeds) and 3(grains, milk, and yogurt) with low weight at birth. Conclusions Mothers who practiced good nutrition such as various food groups were likely to have a lower risk of low weight at birth. This study was the first to use a birth cohort to investigate the association between maternal dietary pattern and low weight at birth using RRR method, which highlights the important role of whole foods or quality of nutrients during pregnancy. Funding Sources This research was supported by the BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education(MOE, Korea) and National Research Foundation of Korea(NRF).

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 < 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 < 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 association between dietary patterns derived by reduced rank regression and depressive symptoms over time: the Invecchiare in Chianti (InCHIANTI) study

2016 ◽  
Vol 115 (12) ◽  
pp. 2145-2153 ◽  
Author(s):  
Esther Vermeulen ◽  
Karien Stronks ◽  
Marjolein Visser ◽  
Ingeborg A. Brouwer ◽  
Aart H. Schene ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Olive Oil ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Processed Meat ◽  
Inverse Association ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank ◽  
Red And Processed Meat

AbstractThis study aimed to identify dietary patterns using reduced rank regression (RRR) and to explore their associations with depressive symptoms over 9 years in the Invecchiare in Chianti study. At baseline, 1362 participants (55·4 % women) aged 18–102 years (mean age 68 (sd 15·5) years) were included in the study. Baseline data collection started in 1998 and was repeated after 3, 6 and 9 years. Dietary intake information was obtained using a country-specific, validated FFQ with 188 food items. For baseline diet, dietary pattern scores in quartiles (Q) were derived using RRR with the nutrients EPA+DHA, folate, Mg and Zn as response variables. Continuous depression scores from the Centre for Epidemiologic Studies Depression (CES-D) scale were used for assessing depressive symptoms. The derived dietary pattern was rich in vegetables, olive oil, grains, fruit, fish and moderate in wine and red and processed meat, and was labelled as ‘typical Tuscan dietary pattern’. After full adjustment, an inverse association was observed between this dietary pattern and depressive symptoms at baseline (Q1 v. Q4, B −2·77; 95 % CI −4·55, −0·98). When examining the relationship between the above-mentioned dietary pattern at baseline and depressive symptoms over 9 years, a similar association was found after full adjustment for confounding factors (Q1 v. Q4, B −1·78; 95 % CI −3·17, −0·38). A diet rich in vegetables, olive oil, grains, fruits, fish and moderate in wine and red and processed meat was consistently associated with lower CES-D scores over a 9-year period in the Tuscan population.

scholarly journals A Diabetes-Related Dietary Pattern Is Associated with Incident Diabetes in Obese Men in the Korean Genome Epidemiology Study

2018 ◽  
Vol 149 (2) ◽  
pp. 323-329 ◽  
Author(s):  
Hye Ah Lee ◽  
NaYeong Son ◽  
Won Kyung Lee ◽  
Hyesook Park
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Incident Diabetes ◽  
Epidemiology Study ◽  
Reduced Rank Regression ◽  
High Intake ◽  
Rank Regression ◽  
Reduced Rank ◽  
Food Items

ABSTRACT Background Diet plays an important role in both the development and management of diabetes. Objective Using data from the Korean Genome Epidemiology Study, we assessed dietary patterns associated with the clinical indicators of diabetes. Methods This study included 7255 subjects aged 40–69 y. Individuals with chronic diseases were excluded. The daily intakes of specific food items were assessed using a dish-based semiquantitative food-frequency questionnaire comprising 103 items; the food items were then grouped into 26 food groups. Dietary patterns were analyzed by the reduced rank regression method using glycated hemoglobin, the homeostasis model of insulin resistance, and fasting glucose concentrations as dependent variables. We investigated the associations between dietary patterns and incident diabetes using the Cox proportional hazards model. Results During an 11.5-y follow-up, the incidence of diabetes was 11.8/1000 person-years. The dietary pattern related to selected biomarkers of diabetes was characterized by a relatively high intake of kimchi, beef, other meat, fish, and coffee in men and a high intake of rice, kimchi, and fruit in women. In men, the association of dietary patterns with incident diabetes was significant only in the obese group, and those in the top quartile of the dietary pattern score had a 1.72 times (95% CI: 1.15, 2.56 times) greater risk of incident diabetes than those in the bottom quartile. Conversely, dietary patterns in women were not associated with incident diabetes. Conclusion Using reduced rank regression, we identified dietary patterns related to selected biomarkers of diabetes in a long-term study with follow-up data in Korea.

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.

Maternal dietary patterns during pregnancy derived by reduced-rank regression and birth weight in the Chinese population

2020 ◽  
Vol 123 (10) ◽  
pp. 1176-1186
Author(s):  
Danmeng Liu ◽  
Yue Cheng ◽  
Baibing Mi ◽  
Lingxia Zeng ◽  
Pengfei Qu ◽  
...  
Keyword(s):  
Birth Weight ◽  
Pregnant Women ◽  
Dietary Patterns ◽  
Large Scale ◽  
Reduced Rank Regression ◽  
Cross Sectional Survey ◽  
Rank Regression ◽  
Reduced Rank ◽  
Animal Source Foods ◽  
Animal Source

AbstractFew studies have investigated the association between maternal dietary patterns (DP) during pregnancy, derived from reduced-rank regression (RRR), and fetal growth. This study aims to identify DP during pregnancy associated with macro- and micronutrient intakes, using the RRR method, and to examine their relationship with birth weight (BW). We used data of 7194 women from a large-scale cross-sectional survey in Northwest China. Dietary protein, carbohydrate, haem Fe density and the ratio of PUFA and MUFA:SFA were used as the intermediate variables in the RRR model to extract DP. Generalised estimating equation models were applied to evaluate the associations between DP and BW and related outcomes (including BW z-score, low birth weight (LBW) and small for gestational age (SGA)). Four DP during pregnancy were identified. Socio-demographically disadvantaged pregnant women were more likely to have lower BW and lower adherence to DP1 (high legumes, soyabean products, vegetables and animal-source foods, with relative low wheat and oils). Women with medium and high adherence to DP1 had significantly increased BW (medium 28·6 (95 % CI 7·1, 50·1); high 25·2 (95 % CI 2·7, 47·6)) and BW z-score and had significantly reduced risks of LBW and SGA. The associations were stronger among women with babies <3100 g. There is no association between other DP and outcomes. Higher adherence to the DP that was high in legumes, soyabean products, vegetables and animal-source foods was associated with improved BW in the Chinese pregnant women, particularly among those with disadvantageous socio-demographic conditions.

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 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.

Sign in / Sign up

Export Citation Format

Share Document