Examining associations between dietary patterns and metabolic CVD risk factors: a novel use of structural equation modelling

Castro, Michelle Alessandra de; Baltar, Valéria Troncoso; Marchioni, Dirce Maria Lobo; Fisberg, Regina Mara

doi:10.1017/s0007114516000556

Cited by 34 publications

(37 citation statements)

References 67 publications

(102 reference statements)

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“…The study by Castro et al [25] revealed that high adherence to the traditional pattern was associated with a reduction in body weight and waist circumference, by mediation of serum leptin, which suggests a protective role of this pattern against weight gain and abdominal fat accumulation. Other studies in Brazil and elsewhere also observed an inverse association of this pattern with BMI [7, 10, 11, 36].…”

Section: Discussionmentioning

confidence: 99%

“…The protective effect of dietary fiber on excess body weight has been shown in systematic reviews [41, 42], cross-sectional studies [25, 43, 44], and in a prospective cohort study [45]. Moreover, the consumption of beans can also be a marker of a more consistent home-prepared diet, which has been shown to be associated with a reduced intake of fats and high-energy density foods [7].…”

Section: Discussionmentioning

confidence: 99%

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The traditional lunch pattern is inversely correlated with body mass index in a population-based study in Brazil

et al. 2017

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BackgroundThe association of obesity and dietary patterns has been well documented in scientific literature; however, information on the impact of meal patterns on obesity is scarce. The objective of this study was to investigate the association of adherence to lunch patterns and body mass index (BMI) in a representative sample of individuals aged 20 years or older in Sao Paulo.MethodsData for 933 participants were retrieved from the Health Survey of São Paulo (ISA-Capital 2008), a cross-sectional population-based survey. The usual dietary intake of individuals with at least one 24-h recall was estimated by the Multiple Source Method. The definition of lunch was self-reported by the participant. Five lunch patterns were derived from twenty-two food groups by exploratory factor analysis: Traditional, Western, Sweetened juice, Salad, and Meats. To estimate the effect of lunch patterns on BMI, we used a generalized linear model with link identity and inverse Gaussian distribution. Analyses were adjusted by age, gender, household income per capita, physical activity levels, smoking status, alcohol consumption, total energy intake, and misreporting status.ResultsThe greater adherence to the traditional pattern at the lunch meal was associated with lower BMI, only in insufficiently active individuals (ß = −0.78; 95% CI -1.57; −0.02).ConclusionsThe traditional Brazilian lunch pattern might protect the insufficiently active individuals against obesity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The traditional lunch pattern is inversely correlated with body mass index in a population-based study in Brazil

et al. 2017

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“…In other words, the latent variable represents the true measure of the variables, taking into account the error associated with the measure of the variables originally observed, as the latent variable assumes that each of its items has an associated measurement error and considers this information in its estimation. Castro et al 29 evaluated the association between dietary patterns and metabolic cardiovascular risk factors in Brazilian adults and, to build the dietary patterns, the authors considered that each food group had measurement errors that could be predicted by dietary patterns.…”

Section: Discussionmentioning

confidence: 99%

Principal Component Analysis and Factor Analysis: differences and similarities in Nutritional Epidemiology application

Santos

Gorgulho

Castro

et al. 2019

Rev. bras. epidemiol.

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Introduction: Statistical methods such as Principal Component Analysis (PCA) and Factor Analysis (FA) are increasingly popular in Nutritional Epidemiology studies. However, misunderstandings regarding the choice and application of these methods have been observed. Objectives: This study aims to compare and present the main differences and similarities between FA and PCA, focusing on their applicability to nutritional studies. Methods: PCA and FA were applied on a matrix of 34 variables expressing the mean food intake of 1,102 individuals from a population-based study. Results: Two factors were extracted and, together, they explained 57.66% of the common variance of food group variables, while five components were extracted, explaining 26.25% of the total variance of food group variables. Among the main differences of these two methods are: normality assumption, matrices of variance-covariance/correlation and its explained variance, factorial scores, and associated error. The similarities are: both analyses are used for data reduction, the sample size usually needs to be big, correlated data, and they are based on matrices of variance-covariance. Conclusion: PCA and FA should not be treated as equal statistical methods, given that the theoretical rationale and assumptions for using these methods as well as the interpretation of results are different.

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“…For instance, in the European Prospective Investigation into Cancer (EPIC) -Netherlands Study, the 'traditional' DP was significantly associated with coronary heart disease (hazard ratio (HR) 1.25; 95% CI: 1.07-1.47 or 1.29; 95% CI: 1.11-1.50, depending on the statistical method) [26]. In a cross-sectional study performed in Brazil, the 'traditional' DP had a negative effect on obesity indicators, lipids and fasting plasma glucose [27]. Inversely, the 'traditional Chinese food' pattern was associated with decreased blood pressure and cholesterol level, and the 'Japanese' pattern was related to decreased blood pressure [28,29].…”

Section: Discussionmentioning

confidence: 99%

Association between dietary patterns and cardiovascular risk factors in a selected population of Lower Silesia (PURE Study Poland)

Czekajło¹,

Różańska²,

Zatońska³

et al. 2018

Ann Agric Environ Med.

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Introduction. Dietary pattern analysis is used to describe the dietary habits of a selected population. In many studies, dietary patterns (DPs) have been associated with risk factors for cardiovascular disease (CVD). The aim of the study was to assess the association between dietary patterns identified in the population of Lower Silesia, Poland, with anthropometric and biochemical risk factors for CVD. Materials and method. The study group included 2,025 participants of the Prospective Urban Rural Epidemiological (PURE) Study. Dietary intake was evaluated based on data from the Food Frequency Questionnaire (FFQ). Dietary patterns were derived using principal component analysis (PCA). The relationship between DPs and body mass index (BMI), waist circumference, waist-hip ratio, blood pressure, total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides and fasting glucose level, was assessed. Results. Three dietary patterns identified in the study explained 35.6% of total variance. The 'fruit, vegetables & dairy' DP, characterized by a high intake of vegetables, fruits, nuts, seeds, raisins, milk and low-fat dairy, was associated with improved lipid profile and anthropometric measures, lower diastolic blood pressure and lower fasting glucose concentration. 'Traditional' and 'fat & sugar' DPs were unfavourably associated with most of the risk factors for CVD presented in this study. Conclusions. Dietary patterns identified in this study were differently related to selected anthropometric and biochemical risk factors for CVD. 'Fruit, vegetables & dairy' DP was favourably associated with the biochemical and anthropometric CVD risk factors, and was characterized by higher nutritional value in comparison with 'traditional' and 'fat & sugar' DPs.

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Examining associations between dietary patterns and metabolic CVD risk factors: a novel use of structural equation modelling

Cited by 34 publications

References 67 publications

The traditional lunch pattern is inversely correlated with body mass index in a population-based study in Brazil

The traditional lunch pattern is inversely correlated with body mass index in a population-based study in Brazil

Principal Component Analysis and Factor Analysis: differences and similarities in Nutritional Epidemiology application

Association between dietary patterns and cardiovascular risk factors in a selected population of Lower Silesia (PURE Study Poland)

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