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.

scholarly journals Metodologias de identificação de padrões alimentares a posteriori em crianças brasileiras: revisão sistemática

2016 ◽  
Vol 21 (1) ◽  
pp. 143-154 ◽  
Author(s):  
Carolina Abreu de Carvalho ◽  
Poliana Cristina de Almeida Fonsêca ◽  
Luciana Neri Nobre ◽  
Silvia Eloiza Priore ◽  
Sylvia do Carmo Castro Franceschini
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Factor Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
A Posteriori ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank

Resumo O objetivo deste estudo é fornecer orientações para identificação de padrões alimentares por abordagem a posteriori, bem como analisar os aspectos metodológicos dos estudos realizados no Brasil que os identificaram em crianças. Os artigos foram selecionados nas bases de dados da Literatura Latino-Americana e do Caribe em Ciências da Saúde, Scientific pattern; Principal component analysis; Factor analysis; Cluster analysis; Reduced rank regression. Incluíram-se pesquisas que identificaram padrões alimentares de crianças por meio da abordagem a posteriori. Selecionou-se 7 estudos, sendo 6 transversais e 1 de coorte, publicados entre 2007 e 2014. Cinco usaram como inquérito o questionário de frequência alimentar, um o recordatório de 24h e outro uma lista de alimentos. O método de abordagem exploratória mais utilizado nas publicações foi a análise fatorial por componentes principais, seguida da análise de agrupamento. O tamanho amostral dos estudos variou de 232 a 4231, os valores do teste Kaiser-Meyer-Olkin de 0,524 a 0,873, e o alfa de Cronbach de 0,51 a 0,69. Poucos estudos brasileiros identificaram padrões alimentares de crianças utilizando abordagem a posteriori, e a análise fatorial por componentes principais foi a técnica mais usada.

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 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 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 Exploration of the Principal Component Analysis (PCA) Approach in Synthesizing the Diet Quality of the Malaysian Population

Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 70
Author(s):  
Asma’ Ali ◽  
Barrie M. Margetts ◽  
Ahmad Ali Zainuddin
Keyword(s):  
Principal Component Analysis ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Dietary Assessment ◽  
Principal Component ◽  
Positive Association ◽  
Component Analysis ◽  
Peninsular Malaysia ◽  
A Posteriori ◽  
Malaysian Population

(1) Background: One of the most main dietary assessments is through a posteriori application. Although extensive research has incorporated dietary assessment of a population through a posteriori application, this study is the first to examine the Malaysian population and use an a posteriori method and principal component analysis (PCA) to assess the dietary patterns of the Malaysian population. The correlation between all dietary patterns derived via PCA and selected nutrient intake were determined in this sample of study; (2) Methods: A total of 3063 respondents (18 to 59 years old) covering Peninsular Malaysia, Sabah, and Sarawak, participated in this study. PCA was applied on the food frequency questionnaire collected from the respondents, and descriptive statistics and PCA were performed using SPSS version 21; (3) Results: Six patterns were identified: “traditional”, “ prudent”, “ modern”, “western”, “Chinese”, and “combination” diets. All together, these six patterns were able to explain 45.9% of the total variability. Few components derived from the factor loadings showed positive association with several nutrient markers. The traditional dietary pattern showed a moderate, positive correlation with total protein and total sugar intake, there was a significant moderate correlation between the prudent dietary pattern and dietary fibre, and there was a moderate positive association between the Chinese dietary pattern and total energy; and (4) Conclusions: The exploration of the PCA approach above may provide justification for assessment of dietary patterns rather than reliance on single nutrients or foods to identify potential connections to overall nutritional wellbeing as well as to explore the diet–disease relationship. However, study of pattern analysis must be conducted among the Malaysian population to produce validity and reproducibility for this dietary approach in light of the numerous methodological issues that arise when performing PCA.

scholarly journals Association Between Dietary Pattern and Perceived Stress

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 430-430
Author(s):  
Casey McKenna ◽  
Gerard Dempsey ◽  
Michael Colabelli ◽  
Tharsana Kumarasivam ◽  
Rachel Molzon ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Stress Response ◽  
Mediterranean Diet ◽  
Perceived Stress ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Healthy Lifestyle ◽  
Principal Component ◽  
Component Analysis ◽  
The Mediterranean

Abstract Objectives Recent evidence is pointing toward the effect of nutrients on neurotransmission. Therefore, dietary patterns may impact the stress response as well as mental wellbeing. This study aims to investigate the relationship between dietary patterns and perceived stress as a way to shed light on the impact of diet quality on psychological stress. Methods An anonymous questionnaire combining three validated scales was distributed through several social media platforms. The questionnaire included the Food-Mood Questionnaire, the Perceived Stress Scale, and the Kessler-6 scale as well as questions assessing frequency of consumption of various tyrosine-rich foods. Inclusion criteria included adults 18 years old or older. Results were analyzed using Spearman's Rho correlation and principal component analysis using SPSS Version 24.0. Results Our results indicated that several components of the Mediterranean diet such as whole grains (P < 0.05), dark green leafy vegetables (P < 0.01), fish (P < 0.01), beans (P < 0.05), and red lean meat (P < 0.01) were negatively correlated with perceived stress total score. Fast food was positively correlated with perceived stress total score (P < 0.01). The principal component analysis identified 3 components: a healthy dietary pattern, a healthy lifestyle, and an unhealthy dietary pattern. Interestingly, a healthy lifestyle, which shared multiple components with the Mediterranean diet, was inversely related to perceived stress total score and mental distress total score. Conclusions Our findings suggest that a dietary pattern similar to the Mediterranean diet may be associated with a lower perceived stress response. Funding Sources None.

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