Clustering of Dietary Patterns and Lifestyles Among Spanish Children in the EsNuPI Study †

Dietary patterns (DPs) are known to be tied to lifestyle behaviors. Understanding DPs and their relationships with lifestyle factors can help to prevent children from engaging in unhealthy dietary practices. We aimed to describe DPs in Spanish children aged 1 to <10 years and to examine their associations with sociodemographic and lifestyle variables. The consumption of toddler and young children milk formulas, enriched and fortified milk within the Spanish pediatric population is increasing, and there is a lack of evidence whether the consumption of this type of milk is causing an impact on nutrient intakes and if they are helping to reach the nutrient recommendations. Within the Nutritional Study in the Spanish Pediatric Population (EsNuPI), we considered two study cohorts and three different age groups in three year-intervals in each of them. The study cohort included 740 children in a representative sample of the urban non-vegan Spanish population and 772 children in a convenience cohort of adapted milk consumers (AMS) (including follow-on formula, toddler’s milk, growing up milk, and fortified and enriched milks) who provided information about sociodemographics, lifestyle, and dietary habits; a food frequency questionnaire was used for the latter. Principal component analysis was performed to identify DPs from 18 food groups. Food groups and sociodemographic/lifestyle variables were combined through a hierarchical cluster algorithm. Three DPs predominated in every age group and study sample: a palatable energy-dense food dietary pattern, and two Mediterranean-like DPs. However, children from the AMS showed a predominant dietary pattern markedly related to the Mediterranean diet, with high consumption of cereals, fruits and vegetables, as well as milk and dairy products. The age of children and certain lifestyle factors, namely level of physical activity, parental education, and household income, correlated closely with the dietary clusters. Thus, the findings provide insight into designing lifestyle interventions that could reverse the appearance of unhealthy DPs in the Spanish child population.

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Fast-Food Dietary Pattern Is Linked to Higher Prevalence of Metabolic Syndrome in Older Canadian Adults

Journal of Nutrition and Metabolism ◽

10.1155/2021/5712844 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Zeinab Hosseini ◽

Mehdi Rostami ◽

Susan J. Whiting ◽

Hassan Vatanparast

Keyword(s):

Metabolic Syndrome ◽

Dietary Patterns ◽

Dietary Pattern ◽

Fast Food ◽

National Level ◽

Age Groups ◽

Principal Component ◽

Lifestyle Factors ◽

Objective Health ◽

Health Measures

Background. Metabolic syndrome (MetS) is known to increase the risk of cardiovascular diseases and diabetes. Diet is a key factor in prevention and development of MetS. This study aimed to determine the association between dietary patterns and MetS among Canadians 12–79 years old using the Canadian Health Measures Survey (CHMS) combined Cycles 1 and 2 data from 2007–11. We hypothesized that MetS varies among different sociodemographic and lifestyle factors and that Canadians who have less healthy dietary patterns are more likely to have MetS. Methods. In the CHMS, MetS was determined using objective health measures. The principal component analysis method was used to determine the dietary patterns. Using logistic regression, the association between MetS and dietary patterns, controlling for potential covariates, was investigated for age groups of 12–19, 20–49, and 50–79 years. Survey data were weighted and bootstrapped to be representative at the national level. Results. The prevalence of MetS was 16.9% for ages 12–79 y (n = 4,272, males = 49.6%), representing 26,038,108 Canadians aged 12–79 years. MetS was significantly different across sociodemographic variables; Canadians with less education, income, and activity had higher MetS prevalence than their counterparts. In older adults (50–79 years of age), the “fast-food” dietary pattern was associated with 26% (odds ratio = 1.26; 95% CI: 1.04 to 1.54; p = 0.0195 ) higher likelihood of having MetS. Conclusions. Among older Canadians, MetS is associated with a “fast-food” dietary pattern after adjustment for socioeconomic/lifestyle factors. Findings suggest the importance of diet quality/composition in the development of MetS among older Canadians and the need for further longitudinal studies on MetS and diet across the lifespan.

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Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

10.21203/rs.3.rs-29635/v2 ◽

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.

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Associations Between Dietary Patterns and Sleep-Related Impairment in a Cohort of Community Physicians: A Cross-sectional Study

American Journal of Lifestyle Medicine ◽

10.1177/1559827619871923 ◽

2019 ◽

pp. 155982761987192

Author(s):

Maryam S. Hamidi ◽

Tait D. Shanafelt ◽

Andrea Hausel ◽

Bryan D. Bohman ◽

Rachel Roberts ◽

...

Keyword(s):

Dietary Patterns ◽

Dietary Pattern ◽

Work Performance ◽

Dietary Habits ◽

Saturated Fat ◽

Principal Component ◽

Cross Sectional Study ◽

High Protein ◽

Sectional Study ◽

Cross Sectional

There is increasing evidence that diet can mitigate fatigue. The objective of this study was to assess the associations between dietary habits and sleep-related impairment (SRI) in a cohort of community physicians. In this cross-sectional study, we analyzed data from 245 physicians who had completed a wellness survey in March 2016 (98% response rate). Three dietary patterns were derived using principal component analysis: plant based, high protein, and high saturated fat and sugar. In the adjusted analysis, every SD increase in the plant-based dietary pattern score was associated with a 0.71-point decrease ( β = −0.72; SE = 0.32; P = .027; 95% CI = −1.35 to −0.08) in the SRI score, and every SD increase in the high saturated fat and sugar dietary pattern score was associated with a 0.77-point increase ( β = 0.77; SE = 0.32; P = .015; 95% CI = 0.15 to 1.39) in the SRI score. There were no associations between high protein diets and SRI scores. Physicians adhering to diets that are high in plant-based foods and low in saturated fat and added sugars had less SRI. Physicians currently face significant barriers to maintaining a healthy diet. This study highlights the potential role of workplace nutrition on SRI and work performance of physicians.

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Adherence to the Mediterranean dietary pattern among Balearic Islands adolescents

British Journal Of Nutrition ◽

10.1017/s0007114509993576 ◽

2010 ◽

Vol 103 (11) ◽

pp. 1657-1664 ◽

Cited By ~ 43

Author(s):

Elisa Martínez ◽

Rosa Llull ◽

Maria del Mar Bibiloni ◽

Antoni Pons ◽

Josep A. Tur

Keyword(s):

Physical Activity ◽

Dietary Pattern ◽

Parental Education ◽

Dietary Habits ◽

Economic Status ◽

Lifestyle Factors ◽

Balearic Islands ◽

Cross Sectional ◽

Mediterranean Dietary Pattern ◽

The Mediterranean

The aim of the present work was to assess the prevalence of the Mediterranean dietary pattern (MDP) in Balearic Islands adolescents, and socio-demographic and lifestyle factors that might determine adherence to the MDP. A cross-sectional nutritional survey was carried out in the Balearic Islands between 2007 and 2008. A random sample (n1231) of the adolescent population (12–17 years old) was interviewed. Dietary questionnaires and a general questionnaire incorporating questions related to socio-economic status, parental education level and lifestyle factors were used. Dietary habits were assessed by means of two 24 h recalls and a quantitative FFQ. Adherence to the MDP was defined according to a score constructed considering the consumption of nine MDP characteristic components: high MUFA:SFA ratio, moderate ethanol consumption, high legumes, cereals and roots, fruits, vegetables and fish consumption, and low consumption of meat and milk. Then, socio-demographic, lifestyle and health status variables that could determine a higher or ower adherence were assessed. The mean adherence was 57·9 (sd8·9) % and the median adherence was 57·3 %. Half of the Balearic Islands adolescents (50·5 %) showed an adherence to the MDP comprised between 52·7 and 62·8 %. By multivariate analyses, a high maternal level of education, increased physical activity, reduced alcohol intake and abstinence from smoking were independent associations of better adherence to the MDP. The promotion of not only the MDP but also the Mediterranean lifestyle, including greater physical activity, should be reinforced among the Balearic younger generations.

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Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

10.21203/rs.3.rs-29635/v1 ◽

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

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Dietary Patterns in New Zealand Women: Evaluating Differences in Body Composition and Metabolic Biomarkers

Nutrients ◽

10.3390/nu11071643 ◽

2019 ◽

Vol 11 (7) ◽

pp. 1643 ◽

Cited By ~ 4

Author(s):

Shakeela N. Jayasinghe ◽

Bernhard H. Breier ◽

Sarah A. McNaughton ◽

Aaron P. Russell ◽

Paul A. Della Gatta ◽

...

Keyword(s):

Body Composition ◽

New Zealand ◽

Dietary Patterns ◽

Dietary Pattern ◽

Principal Component ◽

Food Groups ◽

Total Body ◽

Study Participants ◽

Plasma Leptin ◽

Metabolic Biomarkers

The combinations of food consumed together (dietary patterns) may have a greater influence on health than nutrients or food groups consumed independently. This study investigated the relationship between dietary patterns, body composition and metabolic biomarkers of premenopausal New Zealand women from three ethnic groups. In total, 408 New Zealand European, Māori and Pacific women aged 16–45 years participated in the Women’s EXPLORE (EXamining Predictors Linking Obesity Related Elements) study. Participants completed a 220-item food frequency questionnaire. Several body composition parameters and metabolic biomarkers were measured. Dietary patterns were extracted by principal component analysis and dietary pattern scores were categorised into tertiles to assess links with other measured parameters. Women with higher scores for the ‘refined and processed’ pattern were younger, had higher body mass index, total body fat, plasma leptin and plasma insulin (p < 0.001), and lower plasma ghrelin levels (p < 0.05) than women with lower scores. In addition, more Māori (51%) and Pacific (68%) women followed the ‘refined and processed’ pattern, while more New Zealand European women (40%) followed the ‘sweet and savoury snacking’ pattern. These data show that dietary pattern analysis is a useful tool to assess links between diet and metabolic health. It further reveals interesting ethnic group-specific differences in dietary pattern use.

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Dietary Patterns, Their Nutrients, and Associations with Socio-Demographic and Lifestyle Factors in Older New Zealand Adults

Nutrients ◽

10.3390/nu12113425 ◽

2020 ◽

Vol 12 (11) ◽

pp. 3425

Author(s):

Karen Mumme ◽

Cathryn Conlon ◽

Pamela von Hurst ◽

Beatrix Jones ◽

Welma Stonehouse ◽

...

Keyword(s):

Physical Activity ◽

New Zealand ◽

Dietary Patterns ◽

Dietary Pattern ◽

Alcohol Intake ◽

Lifestyle Factors ◽

Food Groups ◽

Higher Alcohol ◽

Living Situation ◽

Mediterranean Dietary Pattern

Dietary patterns analyse combinations of foods eaten. This cross-sectional study identified dietary patterns and their nutrients. Associations between dietary patterns and socio-demographic and lifestyle factors were examined in older New Zealand adults. Dietary data (109-item food frequency questionnaire) from the Researching Eating, Activity and Cognitive Health (REACH) study (n = 367, 36% male, mean age = 70 years) were collapsed into 57 food groups. Using principal component analysis, three dietary patterns explained 18% of the variation in diet. Dietary pattern associations with sex, age, employment, living situation, education, deprivation score, physical activity, alcohol, and smoking, along with energy-adjusted nutrient intakes, were investigated using regression analysis. Higher ‘Mediterranean’ dietary pattern scores were associated with being female, higher physical activity, and higher education (p < 0.001, R2 = 0.07). Higher ‘Western’ pattern scores were associated with being male, higher alcohol intake, living with others, and secondary education (p < 0.001, R2 = 0.16). Higher ‘prudent’ pattern scores were associated with higher physical activity and lower alcohol intake (p < 0.001, R2 = 0.15). There were positive associations between beta-carotene equivalents, vitamin E, and folate and ‘Mediterranean’ dietary pattern scores (p < 0.0001, R2 ≥ 0.26); energy intake and ‘Western’ scores (p < 0.0001, R2 = 0.43); and fibre and carbohydrate and ‘prudent’ scores (p < 0.0001, R2 ≥ 0.25). Socio-demographic and lifestyle factors were associated with dietary patterns. Understanding relationships between these characteristics and dietary patterns can assist in health promotion.

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Evaluation of dietary patterns among Norwegian postmenopausal women using plasma carotenoids as biomarkers

British Journal Of Nutrition ◽

10.1017/s0007114514004103 ◽

2015 ◽

Vol 113 (4) ◽

pp. 672-682 ◽

Cited By ~ 14

Author(s):

Marianne S. Markussen ◽

Marit B. Veierød ◽

Amrit K. Sakhi ◽

Merete Ellingjord-Dale ◽

Rune Blomhoff ◽

...

Keyword(s):

Postmenopausal Women ◽

Dietary Patterns ◽

Dietary Pattern ◽

Linear Regression Analysis ◽

Principal Component ◽

Multiple Linear Regression Analysis ◽

High Protein ◽

Food Groups ◽

Total Carotenoids ◽

Β Carotene

A number of studies have examined dietary patterns in various populations. However, to study to what extent such patterns capture meaningful differences in consumption of foods is of interest. In the present study, we identified important dietary patterns in Norwegian postmenopausal women (age 50–69 years,n361), and evaluated these patterns by examining their associations with plasma carotenoids. Diet was assessed by a 253-item FFQ. These 253 food items were categorised into forty-six food groups, and dietary patterns were identified using principal component analysis. We used the partial correlation coefficient (radj) and multiple linear regression analysis to examine the associations between the dietary patterns and the plasma carotenoids α-carotene, β-carotene, β-cryptoxanthin, lutein, lycopene and zeaxanthin. Overall, four dietary patterns were identified: the ‘Western’; ‘Vegetarian’; ‘Continental’; ‘High-protein’. The ‘Western’ dietary pattern scores were significantly inversely correlated with plasma lutein, zeaxanthin, lycopene and total carotenoids ( − 0·25 ≤ radj≤ − 0·13). The ‘Vegetarian’ dietary pattern scores were significantly positively correlated with all the plasma carotenoids (0·15 ≤ radj≤ 0·24). The ‘Continental’ dietary pattern scores were significantly inversely correlated with plasma lutein and α-carotene (radj= − 0·13). No significant association between the ‘High-protein’ dietary pattern scores and the plasma carotenoids was found. In conclusion, the healthy dietary pattern, the ‘Vegetarian’ pattern, is associated with a more favourable profile of the plasma carotenoids than our unhealthy dietary patterns, the ‘Western’ and ‘Continental’ patterns.

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Dietary Patterns and Breast Cancer Risk in Black Urban South African Women: The SABC Study

Nutrients ◽

10.3390/nu13114106 ◽

2021 ◽

Vol 13 (11) ◽

pp. 4106

Author(s):

Inarie Jacobs ◽

Christine Taljaard-Krugell ◽

Mariaan Wicks ◽

Herbert Cubasch ◽

Maureen Joffe ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

South African ◽

Dietary Patterns ◽

Dietary Pattern ◽

Conditional Logistic Regression ◽

Principal Component ◽

Processed Food ◽

Food Groups

A total of 396 breast cancer cases and 396 population-based controls from the South African Breast Cancer study (SABC) matched on age and demographic settings was included. Validated questionnaires were used to collect dietary and epidemiological data. Dietary patterns were derived using principal component analysis with a covariance matrix from 33 food groups. Odds ratios and 95% confidence intervals were estimated using conditional logistic regression. A traditional, a cereal-dairy breakfast and a processed food dietary pattern were identified, which together explained 40.3% of the total variance in the diet. After adjusting for potential confounders, the traditional dietary pattern and cereal-dairy breakfast dietary pattern were inversely associated with breast cancer risk (highest tertile versus lowest tertile) (OR = 0.72, 95%CI: 0.57–0.89, p-trend = 0.004 and OR = 0.73, 95%CI: 0.59–0.90, p-trend = 0.004, respectively). The processed food dietary pattern was not significantly associated with breast cancer risk. The results of this study show that a traditional dietary pattern and a cereal-dairy breakfast dietary pattern may reduce the risk of developing breast cancer in this population.

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Data-Driven Dietary Patterns and Diet Quality Scores: Reproducibility and Consistency in Sex and Age Subgroups of Poles Aged 15–65 Years

Nutrients ◽

10.3390/nu12123598 ◽

2020 ◽

Vol 12 (12) ◽

pp. 3598

Author(s):

Joanna Kowalkowska ◽

Lidia Wadolowska ◽

Jolanta Czarnocinska ◽

Grzegorz Galinski ◽

Anna Dlugosz ◽

...

Keyword(s):

Diet Quality ◽

Dietary Patterns ◽

Dietary Habits ◽

Intraclass Correlation ◽

Age Groups ◽

Principal Component ◽

Total Sample ◽

Healthy Diet ◽

Data Driven ◽

Congruence Coefficient

This study aimed to assess: (i) the test–retest reproducibility of identification of data-driven dietary patterns (DPs) derived using a Principal Component Analysis (PCA) and hypothesis-driven DPs (diet quality scores); (ii) the consistency of data-driven DPs with diet quality scores in sex and age subgroups of Poles aged 15–65 years. The study involved 504 subjects (55.6% of females). Data on food consumption frequency (33 food items) were collected twice with a two-week interval using the Dietary Habits and Nutrition Beliefs Questionnaire (KomPAN®) in a self-administered version (test and retest). Two major data-driven DPs (‘Prudent’ and ‘Western’) were identified in the total sample, sex groups and four age groups separately from test and retest data. Two diet quality scores were analysed: Pro-Healthy-Diet-Index-10 (pHDI-10) and Non-Healthy-Diet-Index-14 (nHDI-14). Tucker’s congruence coefficient indicated fair-to-good similarity of data-driven DPs between test and retest for all study subgroups, except for males. Across study subgroups, the intraclass correlation coefficient (ICC) between the test and retest ranged from 0.56 to 0.86 for ‘Prudent’ DP and 0.57 to 0.82 for ‘Western’ DP, with the lowest values in males. The ICC (test vs. retest) ranged from 0.84 to 0.88 for pHDI-10 and 0.75 to 0.88 for nHDI-14. Comparing the data-driven DPs and diet quality scores, the Spearman’s correlations ranged from 0.63 to 0.93 between ‘Prudent’ DP and pHDI-10, and from 0.60 to 0.81 between ‘Western’ DP and nHDI-14. The test–retest reproducibility of data-driven DPs and diet quality scores and their consistency were acceptable in most of the study subgroups, with a tendency to be higher for pro-health than unhealthy DPs. Data-driven DPs were more reproducible in females than males. The reproducibility of diet quality scores tended to be better in males than females and was the highest in 25–44-year-olds. The KomPAN® questionnaire can be recommended to use data-driven DPs and diet quality scores to describe the habitual diet in people aged 15–65 years.

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