Dietary patterns obtained through principal components analysis: the effect of input variable quantification

Association of Cantonese dietary patterns with mortality risk in older Chinese: a 16-year follow-up of a Guangzhou Biobank cohort study

Background: Evidence about the associations between Cantonese dietary patterns and mortality is scarce. We examined the prospective association of the dietary pattern with all-cause, cancer and cardiovascular disease (CVD) mortality in older Chinese. Methods: We included 19 598 participants of a Guangzhou Biobank cohort study aged 50+ years, who were recruited from 2003 to 2006 and followed up until July, 2022. The diet was assessed by using a 300-item validated food frequency questionnaire. The food items were collapsed into 27 food groups. Factor analysis (FA) was used to identify dietary patterns. Multivariable Cox regression produced hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. Results: During 305 410 person-years, 4966 deaths including 1971 CVD, 1565 cancer and 1436 other-causes occurred. Four dietary patterns were identified by FA. No association of the vegetable-based dietary pattern with all-cause, CVD and cancer mortality was found. Compared with the lowest quartile of the healthy Cantonese dietary pattern score, the highest quartile showed lower risks of all-cause (HR 0.86, 95% CI 0.80-0.94) and CVD mortality (HR 0.84, 95% CI 0.72-0.97). The highest quartile of the nut and fruit dietary pattern showed lower risks of all-cause (HR 0.92, 95% CI 0.85-0.99) and CVD mortality (HR 0.82, 95% CI 0.72-0.93), while the unhealthy western dietary pattern was associated with a higher risk of all-cause (HR 1.10, 95% CI 1.01-1.19) and cerebrovascular disease mortality (HR 1.28, 95% CI 1.03-1.58). Conclusion: We have first identified four dietary patterns based on the Cantonese cuisine and found that healthy Cantonese and nut and fruit dietary patterns were associated with lower risks of all-cause and CVD mortality, whereas the unhealthy western dietary pattern was associated with a higher risk of all-cause and cerebrovascular disease mortality.

Evaluation of Dietary and Alcohol Drinking Patterns in Patients with Excess Body Weight in a Spanish Cohort: Impact on Cardiometabolic Risk Factors

Unhealthy dietary habits and sedentarism coexist with a rising incidence of excess weight and associated comorbidities. We aimed to analyze the dietary and drinking patterns of patients with excess weight, their main characteristics, plausible gender differences and impact on cardiometabolic risk factors, with a particular focus on the potential contribution of beer consumption. Data from 200 consecutive volunteers (38 ± 12 years; 72% females) living with overweight or class I obesity attending the obesity unit to lose weight were studied. Food frequency questionnaires and 24 h recalls were used. Reduced-rank regression (RRR) analysis was applied to identify dietary patterns (DPs). Anthropometry, total and visceral fat, indirect calorimetry, physical activity level, comorbidities and circulating cardiometabolic risk factors were assessed. Study participants showed high waist circumference, adiposity, insulin resistance, dyslipidemia, pro-inflammatory adipokines and low anti-inflammatory factors like adiponectin and interleukin-4. A low-fiber, high-fat, energy-dense DP was observed. BMI showed a statistically significant (p < 0.05) correlation with energy density (r = 0.80) as well as percentage of energy derived from fat (r = 0.61). Excess weight was associated with a DP low in vegetables, legumes and whole grains at the same time as being high in sweets, sugar-sweetened beverages, fat spreads, and processed meats. RRR analysis identified a DP characterized by high energy density and saturated fat exhibiting negative loadings (>-0.30) for green leafy vegetables, legumes, and fruits at the same time as showing positive factor loadings (>0.30) for processed foods, fat spreads, sugar-sweetened beverages, and sweets. Interestingly, for both women and men, wine represented globally the main source of total alcohol intake (p < 0.05) as compared to beer and distillates. Beer consumption cannot be blamed as the main culprit of excess weight. Capturing the DP provides more clinically relevant and useful information. The focus on consumption of single nutrients does not resemble real-world intake behaviors.

Identification of dietary components in association with abdominal aortic calcification

The precise impact of dietary components on vascular health remains incompletely understood. To identify the dietary components and their associations with abdominal aortic calcification (AAC), the data from NHANES was employed in this cross-sectional study. The LASSO method and logistic regression were utilized to identify dietary components that exhibited the strongest association with AAC. Grouped WQS regression analysis was employed to evaluate the combined effects of dietary components on AAC. Furthermore, principal component analysis was employed to identify the primary dietary patterns in the study population. The present analysis included 1862 participants, from whom information on 35 dietary macro- and micronutrient components was obtained through 24-hour dietary recall interviews. The assessment of AAC was performed utilizing dual-energy X-ray absorptiometry. The LASSO method identified 10 dietary components that were associated with AAC. Total protein, total fiber, vitamin A, and β-cryptoxanthin exhibited a negative association with AAC. Compared to the first quartile, the adjusted odds ratios (95% CIs) for the highest quartile were 0.59 (0.38, 0.93), 0.63 (0.42, 0.93), 0.59 (0.41, 0.84), and 0.68 (0.48, 0.94), respectively. Grouped WQS regression demonstrated a positive association between the lipid group and AAC (aOR: 1.29; 95% CI: 1.12, 1.50), while the proteins and phytochemical group exhibited a negative association with AAC (aOR: 0.69; 95% CI: 0.58, 0.82). For the dietary pattern analysis, high adherence to the plant-based pattern (aOR: 0.62; 95% CI: 0.44, 0.88) was associated with a lower risk of AAC, whereas the caffeine and theobromine pattern (aOR: 1.73; 95% CI: 1.25, 2.41) was associated with a higher risk of AAC. The findings of this study indicate that adopting a dietary pattern characterized by high levels of protein and plant-based foods, as well as reduced levels of fat, may offers potential advantages for the prevention of AAC.

Association between Dietary Patterns and Metabolic Syndrome Risk Factors: A Cross-Sectional Study of Christian Orthodox Church Fasters and Non-Fasters in Greece

It is well known that the Mediterranean diet contributes to healthy living, prevention of non-communicable diseases, and longevity. A cross-sectional study was conducted with participants from Greece who follow the Mediterranean diet and were further divided into two categories: (i) Christian Orthodox Church (COC) religious fasters and (ii) non-fasters. Four-hundred individuals underwent anthropometric measurements, whereas information regarding dietary intake was collected via three 24 h diet recalls and a monthly food frequency questionnaire. Principal component analysis was performed to derive dietary patterns, whereas associations between dietary patterns and metabolic syndrome (MetS) risk factors were investigated with the general linear model. Non-fasters (n = 200) were found to consume significantly more beef, chicken, turkey, sausage, broth, fried potatoes, ketchup, and mustard, while consuming less seafood, snails, soya, tarama salads, fresh fruits, margarine, olives, and decaf coffee. Two distinct dietary patterns were identified in fasters: (i) the "Mixed Diet" and (ii) the "Plant-based/Fasting Diet" pattern. Moreover, three patterns were identified in non-fasters, and were identified as follows: (i) the "Western Diet", (ii) the "Mixed Diet", and (iii) the "Mediterranean-like Diet" pattern. No significant association was observed between dietary patterns and the prevalence of MetS in our population. Further epidemiological studies should evaluate the links between dietary patterns and MetS prevalence within the adult Greek population.

Completeness of Reporting in Diet- and Nutrition-Related Randomized Controlled Trials and Systematic Reviews With Meta-Analysis: Protocol for 2 Independent Meta-Research Studies

BACKGROUND

Journal articles describing randomized controlled trials (RCTs) and systematic reviews with meta-analysis of RCTs are not optimally reported and often miss crucial details. This poor reporting makes assessing these studies' risk of bias or reproducing their results difficult. However, the reporting quality of diet- and nutrition-related RCTs and meta-analyses has not been explored.

OBJECTIVE

We aimed to assess the reporting completeness and identify the main reporting limitations of diet- and nutrition-related RCTs and meta-analyses of RCTs, estimate the frequency of reproducible research practices among these RCTs, and estimate the frequency of distorted presentation or spin among these meta-analyses.

METHODS

Two independent meta-research studies will be conducted using articles published in PubMed-indexed journals. The first will include a sample of diet- and nutrition-related RCTs; the second will include a sample of systematic reviews with meta-analysis of diet- and nutrition-related RCTs. A validated search strategy will be used to identify RCTs of nutritional interventions and an adapted strategy to identify meta-analyses in PubMed. We will search for RCTs and meta-analyses indexed in 1 calendar year and randomly select 100 RCTs (June 2021 to June 2022) and 100 meta-analyses (July 2021 to July 2022). Two reviewers will independently screen the titles and abstracts of records yielded by the searches, then read the full texts to confirm their eligibility. The general features of these published RCTs and meta-analyses will be extracted into a research electronic data capture database (REDCap; Vanderbilt University). The completeness of reporting of each RCT will be assessed using the items in the CONSORT (Consolidated Standards of Reporting Trials), its extensions, and the TIDieR (Template for Intervention Description and Replication) statements. Information about practices that promote research transparency and reproducibility, such as the publication of protocols and statistical analysis plans will be collected. There will be an assessment of the completeness of reporting of each meta-analysis using the items in the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) statement and collection of information about spin in the abstracts and full-texts. The results will be presented as descriptive statistics in diagrams or tables. These 2 meta-research studies are registered in the Open Science Framework.

RESULTS

The literature search for the first meta-research retrieved 20,030 records and 2182 were potentially eligible. The literature search for the second meta-research retrieved 10,918 records and 850 were potentially eligible. Among them, random samples of 100 RCTs and 100 meta-analyses were selected for data extraction. Data extraction is currently in progress, and completion is expected by the beginning of 2023.

CONCLUSIONS

Our meta-research studies will summarize the main limitation on reporting completeness of nutrition- or diet-related RCTs and meta-analyses and provide comprehensive information regarding the particularities in the reporting of intervention studies in the nutrition field.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/43537.

Effect of dietary consumption on the survival of esophageal squamous cell carcinoma: a prospective cohort study

BACKGROUND/OBJECTIVES

This prospective cohort study was to assess the association of pre-diagnostic dietary intake and dietary pattern with the survival of esophageal squamous cell carcinoma (ESCC) patients.

SUBJECTS/METHODS

855 patients were recruited and successfully followed. Information on diet over past five years before diagnosis was collected using a food frequency questionnaire, and dietary patterns were extracted using principal component analysis. Hazard ratio (HR) with 95% confidence interval (95% CI) was calculated using the Cox proportional hazard model.

RESULTS

164 (19.18%) ESCC patients survived during the follow-up. Every 25-g increment intake of pickled vegetables was associated with a 6.0% (HR: 1.060, 95% CI: 1.003-1.121) increased risk of death after adjustment for covariates. When comparing the highest with lowest tertiles of energy-adjusted intake, pickled vegetables intake was associated with a 21.9% elevated risk of death (HR: 1.219, 95% CI: 1.014-1.465), while fish and shrimp intake was associated with a 19.4% (HR: 0.816, 95% CI: 0.675-0.986) reduced risk of death. Three dietary patterns were defined and labeled as patterns I, II, and III. Every 10-score increment of dietary pattern II, characterized with a higher loading of preserved vegetables, pickled vegetables, and salted meat, was associated with a 1.7% (HR: 1.017, 95% CI: 1.003-1.032) increased risk of death.

CONCLUSIONS

A diet characterized with higher loading of preserved vegetables, pickled vegetables, and salted meat, was negatively associated with death risk among ESCC patients. Prospective studies concerning the role of post-diagnosis dietary intake in ESCC prognosis are needed.

Protocol for a meta-research study of protocols for diet or nutrition-related trials published in indexed journals: general aspects of study design, rationale and reporting limitations

INTRODUCTION

The Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) reporting guideline establishes a minimum set of items to be reported in any randomised controlled trial (RCT) protocol. The Template for Intervention Description and Replication (TIDieR) reporting guideline was developed to improve the reporting of interventions in RCT protocols and results papers. Reporting completeness in protocols of diet or nutrition-related RCTs has not been systematically investigated. We aim to identify published protocols of diet or nutrition-related RCTs, assess their reporting completeness and identify the main reporting limitations remaining in this field.

METHODS AND ANALYSIS

We will conduct a meta-research study of RCT protocols published in journals indexed in at least one of six selected databases between 2012 and 2022. We have run a search in PubMed, Embase, CINAHL, Web of Science, PsycINFO and Global Health using a search strategy designed to identify protocols of diet or nutrition-related RCTs. Two reviewers will independently screen the titles and abstracts of records yielded by the search in Rayyan. The full texts will then be read to confirm protocol eligibility. We will collect general study features (publication information, types of participants, interventions, comparators, outcomes and study design) of all eligible published protocols in this contemporary sample. We will assess reporting completeness in a randomly selected sample of them and identify their main reporting limitations. We will compare this subsample with the items in the SPIRIT and TIDieR statements. For all data collection, we will use data extraction forms in REDCap. This protocol is registered on the Open Science Framework (DOI: 10.17605/OSF.IO/YWEVS).

ETHICS AND DISSEMINATION

This study will undertake a secondary analysis of published data and does not require ethical approval. The results will be disseminated through journals and conferences targeting stakeholders involved in nutrition research.

Diet and Risk of Non-Alcoholic Fatty Liver Disease, Cirrhosis, and Liver Cancer: A Large Prospective Cohort Study in UK Biobank

Background and Aims: Epidemiological evidence has shown the association between nutritional habits and liver disease. However, results remain conflicting. This study investigated the influence of dietary factors on the risk of incident non-alcoholic fatty liver disease (NAFLD), cirrhosis, and liver cancer. Methods: Data from the UK Biobank database were analyzed (n = 372,492). According to baseline data from the food frequency questionnaire, two main dietary patterns (Western and prudent) were identified using principal component analysis. We used cox proportional hazards models to explore the associations of individual food groups and dietary patterns with NAFLD, cirrhosis, and liver cancer. Results: During a median follow-up of 12 years, 3527 hospitalized NAFLD, 1643 cirrhosis, and 669 liver cancer cases were recorded among 372,492 participants without prior history of cancer or chronic liver diseases at baseline. In multivariable adjusted analysis, participants in the high tertile of Western dietary pattern score had an 18% (95%CI = 1.09−1.29), 21% (95%CI = 1.07−1.37), and 24% (95%CI = 1.02−1.50) higher risk of incident NAFLD, liver cirrhosis, and liver cancer, respectively, compared with the low tertile. Participants in the high tertile of prudent scores had a 15% (95%CI = 0.75−0.96) lower risk of cirrhosis, as compared with those in the low tertile. In addition, the higher consumption of red meat and the lower consumption of fruit, cereal, tea, and dietary fiber were significantly associated with a higher risk of NAFLD, cirrhosis, and liver cancer (ptrend < 0.05). Conclusions: This large prospective cohort study showed that an increased intake of food from the Western dietary pattern could be correlated with an increased risk of chronic liver diseases, while the prudent pattern was only correlated with a reduced liver cirrhosis risk. These data may provide new insights into lifestyle interventions for the prevention of chronical liver diseases.

Consumption of processed and ultra-processed foods by patients with stomach adenocarcinoma: a multicentric case-control study in the Amazon and southeast regions of Brazil

PURPOSE

There is limited information about the dietary habits associated with stomach adenocarcinoma in the Brazilian population, so our purpose is to analyze the consumption of processed and ultra-processed foods by patients with stomach adenocarcinoma in Brazil.

METHODS

A multicentric hospital-based case-control study was conducted in São Paulo (southeastern region) and Belém (Amazon region) of Brazil with 1,045 individuals, both sexes, between 18 and 75 years old. In São Paulo, there were 214 cases with stomach adenocarcinoma and 150 controls patients submitted to stomach endoscopy named as Group I (without any pre-malignant gastric disease) and the Healthy Controls (Group 2) comprised 401 individuals matched by age and sex from the prevention unit at A.C .Camargo Cancer Center. In Belém, it has two groups one are cases 140 and second 140 hospital controls, recruited in outpatient clinics. Lifestyle and food frequency questionnaires (FFQ) were administered in cases and controls in both places. Univariate and multivariable binomial logistic regression analyses were performed.

RESULTS

In São Paulo, cases reported two times greater consumption of processed meat (adjusted OR 2.56, 95% CI 1.32-4.96) and of sweets (≥ 80 g/day) than Group 1 (endoscopic controls) (adjusted OR 2.25, 95% CI 1.21-4.18). Compared with Group 2, processed food consumption (≥ 44 g/day) as well as ≥ 44 g/day of salted bread increased the odds of having stomach adenocarcinoma (adjusted OR 2.96, 95% CI 1.82-4.81 and adjusted OR 2.03, 95% CI 1.30-3.18), respectively. In Belém, individuals who reported consuming ≥ 166 g/day of fried and roasted meat and fish were more likely to have stomach adenocarcinoma (adjusted OR 2.21, 95% CI 1.13-4.30).

CONCLUSIONS

In both cities, consumption of processed and ultra-processed foods, especially salted bread, yellow cheese, fried and roasted meats, fish fried, processed meat, and sweets, was independently associated with the chance of having stomach adenocarcinoma.

Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI

Composite child feeding indices (CCFIs) developed from various relevant measures of dietary intake by infants and young children have several potential applications in nutritional epidemiological studies for the development and deployment of precise public health nutrition interventions against child undernutrition. The predictive utility of some CCFIs (computed from varying formulation components) for child nutritional status (stunting, wasting, and underweight) were compared. The purpose of the study was to identify the most suitable among them for possible standardization, validation, and adoption by nutritional health researchers. Using cluster sampling, data from 581 mother–child pairs were collected. Multivariable regression analyses were applied to the data obtained through a community-based analytical cross-sectional survey design. Three of the CCFIs were found to be significantly associated with only wasting (WHZ) from the linear regression models after adjusting for potential confounders and/or correlates. None of the CCFIs (whether in the continuous nor categorical form) was consistently predictive of all three measures of child nutritional status, after controlling for potential confounders and/or correlates, irrespective of the choice of regression method. CCFI 5 was constructed using a dimension reduction technique—namely principal component analysis (PCA)—as the most optimal summary index in terms of predictiveness for child wasting status, validity, and reliability (Cronbach’s α = 0.80) that captured relevant dimensions of optimal child food intake. The dimension reduction approach that was used in constructing CCFI 5 is recommended for standardization, validation, and possible adoption for wider applicability across heterogeneous population settings as an optimum CCFI usable for nutritional epidemiological studies among children under five years.

Longitudinal association between the timing of adiposity peak and rebound and overweight at seven years of age

Background

The timing of adiposity peak (AP) or adiposity rebound (AR) is a determinant of overweight or obesity in adolescence and adulthood. However, limited studies have reported the association in young school-age children. We aimed to evaluate this association and explore the role of health behaviours in it.

Methods

Routinely collected, sequential, anthropometric data from the 1st to 80th months of age were used to estimate AP and AR timings in 2330 children born in Shanghai between 2010 and 2013. Multivariate regression analyses were applied to identify the associations between the AP or AR timings and the risk of developing overweight or obesity in first-grade school children. The roles of health behaviours, including dietary patterns, physical activity level, sleep and snacking habits, and screen time, were also evaluated.

Results

Children with a late AP or an early AR were at higher risk of overweight but not obesity or central obesity in their first grade. A high physical activity level was associated with a lower risk of having overweight in children with a late AP, and limited screen time was associated with a decreased risk of having overweight or obesity in children with an early AR. The absence of a late-night snacking habit in children with a non-early AR indicated a decreased risk of having overweight. However, this association was not observed among children with an early AR.

Conclusion

The timings of AP and AR are tied to overweight in middle childhood. Prevention strategies are suggested to move forward to control late AP and early AR.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12887-022-03190-9.

Dietary Patterns in Adults Following the Christian Orthodox Fasting Regime in Greece

Objective

The aim of the study was to identify and describe the dietary patterns seen in a carefully selected sample that follows the Christian Orthodox Church (COC) fasting regime in Greece.

Methods

A number of 361 individuals from Northern Greece participated in this cross-sectional study. A number of 176 subjects have been fasting according to the COC recommendations since childhood and 185 non-fasters acted as the control group. Dietary data from a validated food frequency questionnaire were used to derive dietary patterns by principal component analysis (PCA).

Results

Three distinct dietary patterns were identified in the fasting population, the “COC Fasting,” the “Western,” and the “Traditional” dietary pattern, whereas in the non-fasting population, two dietary patterns were found the “Western” and the “Traditional.” The dietary patterns in the fasting population were associated with healthier lifestyle choices, such as abstaining from alcohol and smoke and reduced red and processed meats consumption.

Conclusion

Findings from the study revealed that people who adhere to the COC fasting recommendations since childhood tend to follow this dietary pattern throughout the year. By gaining insights into the energy and nutrient intake of this unique dietary pattern, public health stakeholders could promote healthier eating behaviors to prevent non-communicable chronic diseases, such as obesity and metabolic syndrome.

Dietary patterns and birth outcomes in the ELSPAC pregnancy cohort

OBJECTIVES

The aim of this study was to identify dietary patterns in a Czech pregnancy cohort established in the early postcommunist era and investigate associations between dietary patterns, maternal characteristics and birth outcomes.

METHODS

Pregnant women were recruited for the Czech part of the European Longitudinal Study of Pregnancy and Childhood. A self-reported questionnaire answered in late pregnancy was used to assess information about the weekly intake of 43 food items. Information about birth outcomes (birth weight, height, ponderal index, head circumference, cephalisation index, gestational length and Apgar score) was obtained from the National Registry of Newborns. Complete details on diet and birth outcomes were available for 4320 mother-infant pairs.

RESULTS AND CONCLUSION

The food items were aggregated into 28 variables and used for extraction of two dietary patterns by principal component factor analysis. The patterns were denoted 'unhealthy' and 'healthy/traditional' based on the food items with the highest factor loadings on each pattern. The 'unhealthy' pattern had high positive loadings on meat, processed food and confectionaries. In contrast, the 'healthy/traditional' pattern had high positive loadings on vegetables, dairy, fruits and wholemeal bread. Following adjustment for covariates, we found that high adherence to the unhealthy pattern (expressed as beta for 1 unit increase in pattern score), that is, the higher consumption of less healthy foods, was associated with lower birth weight: -23.8 g (95% CI -44.4 to -3.2) and length: -0.10 cm (95% CI -0.19 to -0.01) and increased cephalisation index: 0.91 μm/g (95% CI 0.23 to 1.60). The 'healthy/traditional' pattern was not associated with any birth outcomes. This study supports the recommendation to eat a healthy and balanced diet during pregnancy.

Diet and Risk of Incident Lung Cancer: A Large Prospective Cohort Study in UK Biobank

BACKGROUND

Epidemiological evidence remains conflicting regarding diet and risk of lung cancer.

OBJECTIVES

We sought to systematically investigate whether dietary factors are associated with the risk of incident lung cancer in the UK Biobank.

METHODS

A total of 416,588 participants (54% women) from the UK Biobank were included in the present study. Based on baseline data from FFQs, 3 main dietary patterns were identified by using principal component analysis. Cox proportional hazards models were used to investigate the association of individual food groups and dietary patterns with lung cancer risk.

RESULTS

During a median follow-up of 7.13 y, 1782 incident lung cancer cases were documented. The association analysis showed high intake of red meat and processed meat was associated with an increased risk of lung cancer (HRper 50 g/d: 1.36; 95% CI: 1.13, 1.65 for red meat; HRper 25 g/d: 1.30; 95% CI: 1.10, 1.53 for processed meat). However, the consumption of fruits (HRper 100 g/d: 0.90; 95% CI: 0.84, 0.95), vegetables (HRper 100 g/d: 0.89; 95% CI: 0.81, 0.99), breakfast cereals (HRper 50 g/d: 0.81; 95% CI: 0.74, 0.89), and dietary fiber (HRper 5 g/d: 0.76; 95% CI: 0.69, 0.84) was inversely associated with the risk of lung cancer. For the dietary pattern analysis [quartile (Q) comparison], high adherence to the Prudent pattern (HRQ4 compared with Q1: 0.84; 95% CI: 0.73, 0.96) was associated with a lower risk of lung cancer, whereas the Western pattern (HRQ4 compared with Q1: 1.27; 95% CI: 1.11, 1.46) was associated with a higher risk of lung cancer.

CONCLUSIONS

Our study indicated that a diet characterized by high intake of fruits, vegetables, breakfast cereals, and dietary fiber, as well as low intake of red meat and processed meat, was associated with a lower risk of lung cancer.

Identifying dietary patterns in Irish schoolchildren and their association with nutritional knowledge and markers of health before and after intervention

The aim of the study was to identify dietary patterns (DP) and examine differences in anthropometric measures, blood pressure (BP), cardiorespiratory fitness and nutritional knowledge of 6- and 10-year-old children at baseline and following a nutrition and physical activity intervention, with respect to DP and treatment group. This is a longitudinal study. Food diary, nutritional knowledge questionnaire and 550-m walk/run test measured dietary intake, nutritional knowledge and cardiorespiratory fitness, respectively. BP, weight, height and waist circumference were also measured and BMI and waist-to-height ratio (WHtR) were derived. All measurements were performed at baseline and following intervention. Two primary schools (one intervention, one control) in Cork, Ireland, were selected. Participants were 6- (n 39, age 5·9 (sd 0·6) years) and 10- (n 49, age 9·8 (sd 0·5) years)-year-olds. Two DP were identified, using k-means cluster analysis, for both 6- (unhealthy and nutrient-dense) and 10-year-olds (processed and Western diet) at baseline. DP derived post-intervention were (1) plant-based and (2) processed foods for 6-year-olds and (1) nutrient-dense and (2) unhealthy for 10-year-olds. There was no statistically significant difference in DP for 6- and 10-year-olds at baseline and post-intervention (P > 0·05). Following the intervention, a multivariate ANOVA showed there were no statistically significant differences in nutritional knowledge, BMI, WHtR, cardiorespiratory fitness and BP based on DP and intervention/control group for both age groups (P > 0·05). Three out of four dietary patterns identified for 6- and 10-year-olds were unfavourable. While no statistically significant evidence of intervention impact was found on DP, a positive trend was emerging among 10-year-olds.

Dietary Patterns with Healthy and Unhealthy Traits Among Overweight/Obese Hispanic Women with or at High Risk for Type 2 Diabetes

Hispanic women are at high risk for type 2 diabetes (T2D), with obesity and unhealthy eating being important contributing factors. A cross-sectional design was used in this study to identify dietary patterns and their associations with diabetes risk factors. Participants completed a culturally adapted Food Frequency Questionnaire capturing intake over the prior 3 months. Overweight/obese Hispanic women (n = 191) with or at risk for T2D were recruited from a community clinic into a weight loss intervention. Only baseline data was used for this analysis. Dietary patterns and their association with diabetes risk factors (age, body mass index, abdominal obesity, elevated fasting blood glucose [FBG], and hemoglobin A1c). An exploratory factor analysis of dietary data adjusted for energy intake was used to identify eating patterns, and Pearson correlation coefficient (r) to assess the association of the eating patterns with the diabetes risk factors. Six meaningful patterns with healthful and unhealthful traits emerged: (1) sugar and fat-laden, (2) plant foods and fish, (3) soups and starchy dishes, (4) meats and snacks, (5) beans and grains, and (6) eggs and dairy. Scores for the "sugar and fat-laden" and "meats and snacks" patterns were negatively associated with age (r = - 0.230, p = 0.001 and r = - 0.298, p < 0.001, respectively). Scores for "plant foods and fish" were positively associated with FBG (r = 0.152, p = 0.037). Being younger may be an important risk factor for a diet rich in sugar and fat; this highlights the need to assess dietary patterns among younger Hispanic women to identify traits potentially detrimental for their health.

Using principal component analysis to explore consumers' perception toward quinoa health and nutritional claims in Gweru, Zimbabwe

Quinoa is one of the ancestral grains now considered as the "superfoods of the future" due to their characteristics as functional foods with great environmental adaptability. The Zimbabwe Resilience Building Fund has introduced quinoa in Zimbabwe to increase resilience of farming systems in light of environmental shocks. In order to improve adoption of the crop, it is important to understand the combined effects of socio-demographic variables on consumer perceptions of the crop. However, there is limited literature on the combined effects of socio-demographic variables on quinoa health and nutritional benefits in Zimbabwe. In this study, we used principle component analysis to identify consumers' perception about health and nutritional benefits of quinoa in Gweru Urban District, Gweru, Zimbabwe. A questionnaire was designed and applied to 200 participants. However, only 167 forms were valid for analysis. Age, education, and income level are main factors that determine consumer perceptions on health and nutritional claims. The results indicate that quinoa need to be promoted a as a crop that goes beyond food and income security by placing additional emphasis on health and nutritional aspects. This is very insightful in light of the need to improve the uptake of the crop by smallholder farmers in Zimbabwe. However, the use of self-reporting survey method has received criticism for failing to get detailed information on perceptions of individuals. These findings could be handy to promote quinoa as a climate smart crop with additional health and nutritional benefits. This is one of the novel research studies exploring the motives of Zimbabwean consumers towards quinoa as a functional food crop. The work also contributes to knowledge on consumer food preferences.

Dietary Patterns, Blood Pressure and the Glycemic and Lipidemic Profile of Two Teenage, European Populations

The present study sought to retrospectively investigate the dietary habits of two adolescent, European populations from the cross-sectional Greek TEENAGE Study and French STANISLAS Family Study. We aimed to explore the relation between the populations' dietary patterns and blood pressure, glycemic and lipidemic profile. Dietary patterns were extracted via Principal Component Analysis (PCA), based on data collected from two 24 h dietary recalls for the TEENAGE study and a 3-day food consumption diary for the STANISLAS study. Multiple linear regressions and mixed models analyses, adjusting for confounding factors, were employed to investigate potential associations. A total of 766 Greek teenagers and 287 French teenagers, were included in analyses. Five dietary patterns were extracted for each population accounting for 49.35% and 46.69% of their respective total variance, with similarities regarding the consumption of specific food groups (i.e., western-type foods). In the TEENAGE Study, the "chicken and sugars" pattern was associated with lower CRP levels, after adjusting for confounding factors (p-value < 0.01). The "high protein and animal fat" dietary pattern of the STANISLAS Family Study was related to higher BMI (p-value < 0.01) and higher triglycerides levels (p-value < 0.01). Our findings summarize the dietary habits of two teenage, European populations and their associations with cardiometabolic risk factors.

Identification of dietary patterns in a general population of North Italian adults and their association with arterial stiffness. The RoCAV study

BACKGROUND AND AIMS

The aims of this study were to identify dietary patterns in a general population of North Italian adults and to investigate the cross-sectional association between prevalent dietary patterns and arterial stiffness.

METHODS AND RESULTS

Participants to the RoCAV study without chronic diseases at recruitment and with reliable dietary data were included. The food-frequency EPIC questionnaire was used to evaluate dietary habits. Dietary patterns were estimated using principal components analysis and Mediterranean diet adherence score (MedS). Carotid-femoral pulse wave velocity (cfPWV) was used as proxy of arterial stiffness. Basing on data from 2640 subjects (1608 men and 1032 women, mean ± SD 65.5 ± 6.7 years), four principal components (PC) were retained, explaining 24% of the overall variance. Considering 1284 subjects with cfPWV (mean ± SD 10.7 ± 2.5 m/s) data available, adherence to PC1 (Western-like dietary pattern) was associated with higher stiffness values (+0.29 m/s cfPWV for 1 SD increase of PC1, 95% CI:0.08,0.50; p = 0.007) in a multivariate model. Conversely, adherence to PC2 (Mediterranean-like) was not related to cfPWV values (-0.18, 95% CI: -0.36, 0.004; p = 0.06). Likewise, MedS and other PC patterns did not show any significant association with cfPWV. Mediation analysis showed that the association between Western-like dietary pattern and cfPWV is mediated by higher levels of leucocytes (9.2% of the effect, p = 0.047).

CONCLUSIONS

Our study in a Southern European population identified a Western-like dietary pattern associated with an increased cfPWV, a proxy of arterial stiffness. The association with cfPWV was in part mediated by inflammatory status.

Association Between Eating Habits and Risk of Obstructive Sleep Apnea: A Population-Based Study

OBJECTIVE

The effect of dietary factors on OSA remains unclear. This study was to investigate the association of obstructive sleep apnea (OSA) with individual and overall effects of eating habits among adult Chinese.

METHODS

A total of 9733 participants were selected from the baseline survey of the Guangzhou Heart Study. OSA was ascertained by Berlin Questionnaire. Food consumption was collected using a food frequency questionnaire, and eating patterns were extracted by principal component analysis. Odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated by the logistic regression model.

RESULTS

After adjustment for confounders, fried food intake with ≥1/week was associated with an increased risk of OSA (OR: 1.77, 95% CI: 1.37-2.27), while fruit consumption of ≥1/day was associated with a 26% reduced risk of OSA (OR: 0.74, 95% CI: 0.62-0.88). Three eating patterns were defined and labeled as pattern I, II, and III. Eating pattern III which had higher factor loadings of animal innards, fried food, salted food, carbonate, and non-carbonated beverages was associated with an increased risk of OSA (OR: 1.30, 95% CI: 1.09-1.55) when comparing the highest with the lowest tertile of pattern score, after adjusting for confounders; every 1-unit increment of pattern III score was associated with an increased risk of OSA (OR: 1.09, 95% CI: 1.04-1.14). Neither pattern I nor pattern II was observed to be associated with OSA risk.

CONCLUSION

A higher frequency intake of fruits was associated with a reduced OSA risk and a diet with higher levels of consumption of animal innards, fried food, salted food, carbonated beverages, and non-carbonated beverages may increase the risk of OSA.

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

Statistical and Machine-Learning Analyses in Nutritional Genomics Studies

Nutritional compounds may have an influence on different OMICs levels, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics. The integration of OMICs data is challenging but may provide new knowledge to explain the mechanisms involved in the metabolism of nutrients and diseases. Traditional statistical analyses play an important role in description and data association; however, these statistical procedures are not sufficiently enough powered to interpret the large integrated multiple OMICs (multi-OMICS) datasets. Machine learning (ML) approaches can play a major role in the interpretation of multi-OMICS in nutrition research. Specifically, ML can be used for data mining, sample clustering, and classification to produce predictive models and algorithms for integration of multi-OMICs in response to dietary intake. The objective of this review was to investigate the strategies used for the analysis of multi-OMICs data in nutrition studies. Sixteen recent studies aimed to understand the association between dietary intake and multi-OMICs data are summarized. Multivariate analysis in multi-OMICs nutrition studies is used more commonly for analyses. Overall, as nutrition research incorporated multi-OMICs data, the use of novel approaches of analysis such as ML needs to complement the traditional statistical analyses to fully explain the impact of nutrition on health and disease.

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.

Dietary patterns of Chinese puerperal women and their association with postpartum weight retention: Results from the mother-infant cohort study

Dietary intake may affect maternal health, but it remains unclear about puerperal dietary intake and its association with maternal health. This study investigated the dietary patterns and their related factors and association with postpartum weight retention (PPWR) in Chinese puerperal women. Participants were from the mother-infant cohort study, in which both mothers and infants were followed up from childbirth to the next 2 years, in seven cities around China. Maternal puerperal dietary patterns were derived by a food frequency questionnaire and principal component analysis (PCA) within 1 month postpartum. PPWR was assessed by the difference of weight at 42 days and 6 months postpartum minus the pre-pregnancy weight. Of 503 postpartum women, four dietary patterns were identified, including 'plant food' pattern (rice and vegetables as dominant foods), 'diverse' pattern (starchy roots, fruit, livestock meat and aquatic products), 'traditional northern' pattern (poultry, eggs and soup) and 'marine-flour' pattern (flour, coarse food grains and marine fish). The diverse pattern was associated with professional puerperal family care and counselling service (p < .05). PPWRs at 42 days and 6 months postpartum were 6.37 and 4.70 kg averagely. The plant food dietary pattern tended to be associated with higher 42-day PPWR (β = .105, p < .05), and diverse pattern was associated with lower 6-months PPWR (β = -.137, p < .05). Conclusively, this study presented four dominant dietary patterns in Chinese postpartum women and showed a lower PPWR in adherence to diverse dietary pattern. The results would provide evidence to furtherly guide dietary practice and improve maternal health.

Traditional Dietary Patterns and Risk of Mortality in a Longitudinal Cohort of the Salus in Apulia Study

There is still room for further studies analyzing the long-term health impact of specific dietary patterns observable in regions belonging to the Mediterranean area. The aim of the study is to evaluate how much a diet practiced in southern Italy is associated to a risk of mortality. The study population included 2472 participants first investigated in 1985, inquiring about their frequencies of intake of 29 foods using a self-administered questionnaire covering the previous year. The population was followed up for mortality until 31 December 2017. Cox-based risk modeling referred to single foods, food groups, the results of principal component analysis (PCA), and a priori indexes. Single food analysis revealed eggs, fatty meat, and fatty/baked ham to be inversely associated with mortality. Furthermore, one of the 5 PCA derived dietary patterns, the "Farmhouse" pattern, showed a higher hazard ratio (HR), mostly driven by dairy products. In subsequent analyses, the increased risk of mortality for fresh cheese and decreased risk for fatty ham and eggs were confirmed. The a priori diet indexes (Italian Meddiet, Meddietscore, Dietary Approaches to Stop Hypertension (DASH), and Mediterranean-DASH Intervention for Neurodegenerative Delay diet (MIND) indexes) showed borderline inverse relationships. In a Mediterranean population with an overall healthy diet, foods such as eggs and fatty meat, reflecting dietary energy and wealth, played a role in prolonging the life of individuals. Our study confirms that some dairy products might have a detrimental role in mortality in the Mediterranean setting.

Strategies to Address Misestimation of Energy Intake Based on Self-Report Dietary Consumption in Examining Associations Between Dietary Patterns and Cancer Risk

The objective of this study was to determine the influence of strategies of handling misestimation of energy intake (EI) on observed associations between dietary patterns and cancer risk. Data from Alberta's Tomorrow Project participants (n = 9,847 men and 16,241 women) were linked to the Alberta Cancer Registry. The revised-Goldberg method was used to characterize EI misestimation. Four strategies assessed the influence of EI misestimation: Retaining individuals with EI misestimation in the cluster analysis (Inclusion), excluding before (ExBefore) or after cluster analysis (ExAfter), or reassigning into ExBefore clusters using the nearest neighbor method (InclusionNN). Misestimation of EI affected approximately 50% of participants. Cluster analysis identified three patterns: Healthy, Meats/Pizza and Sweets/Dairy. Cox proportional hazard regression models assessed associations between the risk of cancer and dietary patterns. Among men, no significant associations (based on an often-used threshold of p < 0.05) between dietary patterns and cancer risk were observed. In women, significant associations were observed between the Sweets/Dairy and Meats/Pizza patterns and all cancer risk in the ExBefore (HR (95% CI): 1.28 (1.04-1.58)) and InclusionNN (HR (95% CI): 1.14 (1.00-1.30)), respectively. Thus, strategies to address misestimation of EI can influence associations between dietary patterns and disease outcomes. Identifying optimal approaches for addressing EI misestimation, for example, by leveraging biomarker-based studies could improve our ability to characterize diet-disease associations.

What Can Dietary Patterns Tell Us about the Nutrition Transition and Environmental Sustainability of Diets in Uganda?

Uganda is undergoing dietary transition, with possible environmental sustainability and health implications, particularly for women. To explore evidence for dietary transitions and identify how environmentally sustainable women's dietary patterns are, principal component analysis was performed on dietary data collected using a 24 h recall during the Uganda Food Consumption Survey (n = 957). Four dietary patterns explained 23.6% of the variance. The "traditional, high-fat, medium environmental impact" pattern was characterized by high intakes of nuts/seeds, fats, oils and spreads, fish and boiled vegetables. High intakes of bread and buns, rice and pasta, tea and sugar characterized the "transitioning, processed, low environmental impact' pattern. The 'plant-based, low environmental impact" pattern was associated with high intakes of legumes, boiled roots/tubers, boiled traditional vegetables, fresh fruit and fried traditional cereals. High intakes of red/organ meats, chicken, and soups characterized the "animal-based high environmental impact" pattern. Urban residence was positively associated with "transitioning, processed, low environmental impact" (β = 1.19; 1.06, 1.32) and "animal-based high environmental impact" (β = 0.45; 0.28, 0.61) patterns; but negatively associated with the "plant-based low environmental impact" pattern (β= -0.49; -0.62, -0.37). A traditional, high-fat dietary pattern with medium environmental impact persists in both contexts. These findings provide some evidence that urban women's diets are transitioning.

Dietary Patterns Are Associated with Cardiovascular and Cancer Mortality among Swiss Adults in a Census-Linked Cohort

Defining dietary guidelines requires a quantitative assessment of the influence of diet on the development of diseases. The aim of the study was to investigate how dietary patterns were associated with mortality in a general population sample of Switzerland. We included 15,936 participants from two population-based studies (National Research Program 1A (NRP1A) and Monitoring of Trends and Determinants in Cardiovascular Disease (MONICA)—1977 to 1993) who fully answered a simplified 24-h dietary recall. Mortality data were available through anonymous record linkage with the Swiss National Cohort (follow-up of up to 37.9 years). Multiple correspondence analysis and hierarchical clustering were used to define data-driven qualitative dietary patterns. Mortality hazard ratios were calculated for all-cause, cancer and cardiovascular mortality using Cox regression. Two patterns were characterized by a low dietary variety (“Sausage and Vegetables”, “Meat and Salad”), two by a higher variety (“Traditional”, “High-fiber foods”) and one by a high fish intake (“Fish”). Males with unhealthy lifestyle (smokers, low physical activity and high alcohol intake) were overrepresented in the low-variety patterns and underrepresented in the high-variety and “Fish” patterns. In multivariable-adjusted models, the “Fish” (hazard ratio = 0.82, 95% CI (0.68–0.99)) and “High-fiber foods” (0.85 (0.72–1.00)) patterns were associated with lower cancer mortality. In men, the “Fish” (0.73 (0.55–0.97)) and “Traditional” (0.76 (0.59–0.98)) patterns were associated with lower cardiovascular mortality. In summary, our results support the notion that dietary patterns affect mortality and that these patterns strongly cluster with other health determinants.

Socio-demographic and lifestyle determinants of dietary patterns in French-speaking Switzerland, 2009-2012

Background

Food intake is a complex behaviour which can be assessed using dietary patterns. Our aim was to characterize dietary patterns and associated factors in French-speaking Switzerland.

Methods

Cross-sectional study conducted between 2009 and 2012 in the city of Lausanne, Switzerland, including 4372 participants (54% women, 57.3 ± 10.3 years). Food consumption was assessed using a validated food frequency questionnaire. Dietary patterns were assessed by principal components analysis.

Results

Three patterns were identified: “Meat & fries”; “Fruits & Vegetables” and “Fatty & sugary”. The “Meat & fries” pattern showed the strongest correlations with total and animal protein and cholesterol carbohydrates, dietary fibre and calcium. The “Fruits & Vegetables” pattern showed the strongest correlations with dietary fibre, carotene and vitamin D. The “Fatty & sugary” pattern showed the strongest correlations with total energy and saturated fat. On multivariate analysis, male gender, low educational level and sedentary status were positively associated with the “Meat & fries” and the “Fatty & sugary” patterns, and negatively associated with the “Fruits & Vegetables” pattern. Increasing age was inversely associated with the “Meat & fries” pattern; smoking status was inversely associated with the “Fruits & Vegetables” pattern. Being born in Portugal or Spain was positively associated with the “Meat & fries” and the “Fruits & Vegetables” patterns. Increasing body mass index was positively associated with the “Meat & fries” pattern and inversely associated with the “Fatty & sugary” pattern.

Conclusions

Three dietary patterns, one healthy and two unhealthy, were identified in the Swiss population. Several associated modifiable behaviours were identified; the information on socio- demographic determinants allows targeting of the most vulnerable groups in the context of public health interventions.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5045-1) contains supplementary material, which is available to authorized users.

Parental work characteristics and diet quality among pre-school children in dual-parent households: results from a population-based cohort in Taiwan

Objective

To examine the relationship between parental work characteristics and diet quality among pre-school children in dual-parent households.

Design

Cross-sectional study. Parental work characteristics were measured by the types of combined parental work schedules and work hours. The main outcome variables included meal eating habits as well as ‘health-conscious food’ and ‘unhealthy non-core food’ dietary patterns derived by using principal component analysis. Sociodemographic covariates were considered to reduce confounding and selection biases.

Setting

The Taiwan Birth Cohort Study, Taiwan.

Subjects

A population-based sample of 18 046 children.

Results

Multiple regression analyses indicated that compared with having both parents working standard schedules, having at least one parent who worked non-standard schedules was significantly associated with a lower likelihood of a child eating breakfast every day and a higher consumption of unhealthy non-core foods. If only one parent was employed and worked standard schedules, the children demonstrated greater odds of having home-prepared dinner most of the time. The mother’s working long hours was associated with lower odds of eating breakfast every day, more frequent consumption of unhealthy non-core foods and a lower frequency of healthy food consumption.

Conclusions

The findings raise concern that parents’ non-standard work schedules and mother’s long working hours have negative effects on diet quality of pre-school children. Policy implications include the need for a multifaceted approach to supporting working parents so as to create healthier food environments.

Determinants of takeaway and fast food consumption: a narrative review

Out-of-home foods (takeaway, take-out and fast foods) have become increasingly popular in recent decades and are thought to be a key driver in increasing levels of overweight and obesity due to their unfavourable nutritional content. Individual food choices and eating behaviours are influenced by many interrelated factors which affect the results of nutrition-related public health interventions. While the majority of research based on out-of-home foods comes from Australia, the UK and USA, the same issues (poor dietary habits and increased prevalence of non-communicable disease) are of equal concern for urban centres in developing economies undergoing ‘nutrition transition’ at a global scale. The present narrative review documents key facets, which may influence out-of-home food consumption, drawn from biological, societal, environmental, demographic and psychological spheres. Literature searches were performed and references from relevant papers were used to find supplementary studies. Findings suggest that the strongest determinants of out-of-home food availability are density of food outlets and deprivation within the built environment; however, the association between socio-economic status and out-of-home food consumption has been challenged. In addition, the biological and psychological drives combined with a culture where overweight and obesity are becoming the norm makes it ‘fashionable’ to consume out-of-home food. Other factors, including age group, ethnicity and gender demonstrate contrasting effects and a lack of consensus. It is concluded that further consideration of the determinants of out-of-home food consumption within specific populations is crucial to inform the development of targeted interventions to reduce the impact of out-of-home foods on public health.

The Influence of Maternal Dietary Patterns on Body Mass Index and Gestational Weight Gain in Urban Black South African Women

Maternal pre-pregnancy body mass index (BMI) and subsequent gestational weight gain (GWG) are strong predictors of maternal and infant outcomes; however the influence of dietary patterns on BMI-specific GWG is unclear. This study identifies patterns of habitual dietary intake in urban South African women and explores their associations with first trimester BMI and GWG. Habitual dietary intake of 538 pregnant women was assessed using a quantitative food-frequency questionnaire and dietary patterns were depicted via principle component analysis. Associations between dietary patterns and BMI-specific GWG were analyzed using linear and logistic regression. Three dietary patterns were identified: Western, Traditional and Mixed. Western and Mixed diet patterns were associated with 35 g/week (p = 0.021) and 24 g/week (p = 0.041) higher GWG in normal weight and obese women respectively. Additionally, high intakes of a Traditional diet pattern were associated with a reduced odds of excessive weight gain in the total sample (OR: 0.81; p = 0.006) and in normal weight women (OR: 0.68; p = 0.003). Increased intake of a traditional diet pattern—high in whole grains, legumes, vegetables and traditional meats—and decreased intake of refined, high sugar and fat driven diets may reduce GWG (including risk of excessive weight gain) in urban South African women.

Higher adherence to the 'vegetable-rich' dietary pattern is related to longer telomere length in women

BACKGROUND & AIMS

Increasing evidence suggests a role of nutrition in aging process measured by telomere length (TL). However, data from Chinese are scarce. Moreover, the potential mechanism underlying diet and aging is not clear. Although inflammation has been hypothesized as one of the main factors, direct evidence is lacking. We examined whether dietary patterns were associated with TL in Chinese adults, with particular attention paid to body fat (excessive accumulation of body fat is a state of high-systematic oxidative stress and inflammation) and C-reactive protein (CRP, a marker of inflammation).

METHODS

Principal components analysis was used to identify dietary patterns from a 66-item food frequency questionnaire. TL was measured by Southern blots-based assay (Telomere restriction fragments, TRF). Data on sociodemographic characteristics, lifestyle behaviors, anthropometry and metabolism were collected. Multivariate linear regressions were performed in 553 Chinese adults (50.8% men) aged 25-65 years.

RESULTS

Four main dietary patterns were identified. After adjustment for potential confounders, only the 'vegetable-rich' pattern characterized by higher intake of fruits, whole grains, various vegetable groups, dairy products, nuts, eggs and tea, was positively related to TL in women (β = 160.81, P for trend <0.05). The strength of this relation was almost identical with further adjustment for body fat (β = 160.50, P for trend <0.05), but was attenuated slightly with additional adjustment for CRP (β = 152.02, P for trend <0.05). No significant relations were observed in men between dietary patterns and TL.

CONCLUSIONS

Chinese women with higher adherence to 'vegetable-rich' dietary pattern have a longer TL. This relation was partially explained by CRP but not by body fat.

Dietary Patterns in Relation to Cardiovascular Disease Incidence and Risk Markers in a Middle-Aged British Male Population: Data from the Caerphilly Prospective Study

Dietary behaviour is an important modifiable factor in cardiovascular disease (CVD) prevention. The study aimed to identify dietary patterns (DPs) and explore their association with CVD incidence and risk markers. A follow-up of 1838 middle-aged men, aged 47–67 years recruited into the Caerphilly Prospective Cohort Study at phase 2 (1984–1988) was undertaken. Principal component analysis identified three DPs at baseline, which explained 24.8% of the total variance of food intake. DP1, characterised by higher intakes of white bread, butter, lard, chips and sugar-sweetened beverages and lower intake of wholegrain bread, was associated with higher CVD (HR 1.35: 95% CI: 1.10, 1.67) and stroke (HR 1.77; 95% CI: 1.18, 2.63) incidence. DP3, characterised by higher intakes of sweet puddings and biscuits, wholegrain breakfast cereals and dairy (excluding cheese and butter) and lower alcohol intake, was associated with lower CVD (HR 0.76; 95% CI: 0.62, 0.93), coronary heart disease (HR: 0.68; 95% CI: 0.52, 0.90) and stroke (HR: 0.68; 95% CI: 0.47, 0.99) incidence and a beneficial CVD profile at baseline, while DP1 with an unfavourable profile, showed no clear associations after 12 years follow-up. Dietary pattern 2 (DP2), characterised by higher intake of pulses, fish, poultry, processed/red meat, rice, pasta and vegetables, was not associated with the aforementioned outcomes. These data may provide insight for development of public health initiatives focussing on feasible changes in dietary habits.

Pathway-Driven Approaches of Interaction between Oxidative Balance and Genetic Polymorphism on Metabolic Syndrome

Despite evidences of association between basic redox biology and metabolic syndrome (MetS), few studies have evaluated indices that account for multiple oxidative effectors for MetS. Oxidative balance score (OBS) has indicated the role of oxidative stress in chronic disease pathophysiology. In this study, we evaluated OBS as an oxidative balance indicator for estimating risk of MetS with 6414 study participants. OBS is a multiple exogenous factor score for development of disease; therefore, we investigated interplay between oxidative balance and genetic variation for development of MetS focusing on biological pathways by using gene-set-enrichment analysis. As a result, participants in the highest quartile of OBS were less likely to be at risk for MetS than those in the lowest quartile. In addition, persons in the highest quartile of OBS had the lowest level of inflammatory markers including C-reactive protein and WBC. With GWAS-based pathway analysis, we found that VEGF signaling pathway, glutathione metabolism, and Rac-1 pathway were significantly enriched biological pathways involved with OBS on MetS. These findings suggested that mechanism of angiogenesis, oxidative stress, and inflammation can be involved in interaction between OBS and genetic variation on risk of MetS.

Setting the Lipid Component of the Diet: A Work in Process

Some of the most relevant yet controversial issues in nutrition are those surrounding the guidelines on quality and quantity of dietary fat in the prevention and treatment of cardiovascular diseases and coronary heart diseases. Conflicting evidence questions the credibility of the previous dietary guidelines, particularly the quality of the evidence on which these recommendations were based. It is therefore important to explore the changes that have occurred in these guidelines and their influence on the adoption of different dietary patterns over time. In this review, we summarize the evolution of the fat component of the dietary guidelines, discuss controversial aspects, and highlight the areas in which additional evidence is still needed. Over the years, the scientific community has shown an obsession for calories in a diet instead of focusing on the quality of the food that makes up the diet. This is why certain authors have identified the importance of evaluating a diet focusing on diet patterns, rather than single isolated nutrients. This approach has been proposed in the most recent Dietary Guidelines for Americans.

Dietary patterns and the risk of CVD and all-cause mortality in older British men

Dietary patterns are a major risk factor for cardiovascular morbidity and mortality; however, few studies have examined this relationship in older adults. We examined prospective associations between dietary patterns and the risk of CVD and all-cause mortality in 3226 older British men, aged 60-79 years and free from CVD at baseline, from the British Regional Heart Study. Baseline FFQ data were used to generate thirty-four food groups. Principal component analysis identified dietary patterns that were categorised into quartiles, with higher quartiles representing higher adherence to the dietary pattern. Cox proportional hazards examined associations between dietary patterns and risk of all-cause mortality and cardiovascular outcomes. We identified three interpretable dietary patterns: 'high fat/low fibre' (high in red meat, meat products, white bread, fried potato, eggs), 'prudent' (high in poultry, fish, fruits, vegetables, legumes, pasta, rice, wholemeal bread, eggs, olive oil) and 'high sugar' (high in biscuits, puddings, chocolates, sweets, sweet spreads, breakfast cereals). During 11 years of follow-up, 899 deaths, 316 CVD-related deaths, 569 CVD events and 301 CHD events occurred. The 'high-fat/low-fibre' dietary pattern was associated with an increased risk of all-cause mortality only, after adjustment for confounders (highest v. lowest quartile; hazard ratio 1·44; 95 % CI 1·13, 1·84). Adherence to a 'high-sugar' diet was associated with a borderline significant trend for an increased risk of CVD and CHD events. The 'prudent' diet did not show a significant trend with cardiovascular outcomes or mortality. Avoiding 'high-fat/low-fibre' and 'high-sugar' dietary components may reduce the risk of cardiovascular events and all-cause mortality in older adults.

A posteriori data-derived dietary patterns and incident coronary heart disease: Making sense of inconsistent findings

Inconsistent findings have been reported from numerous prospective studies for the relations of the 'Western' (unhealthy) and 'Prudent' (healthy) diet patterns, derived using factor, principle components, or cluster analysis methods, with incident coronary heart disease (CHD). Among contemporary prospective studies, the 'Prudent' diet pattern was inversely related to CHD risk in 7 of 12 studies, while the 'Western' diet pattern positively related to risk in only 3 of 11 studies. To explain these inconsistent findings, we compared the methods and results from these prospective studies conducted in the U.S., Europe, and Asia. A 'Prudent' diet pattern was consistently related to 18-65% lower risk of incident CHD in 7 studies conducted in the U.S., Europe and Asia. In 3 of 4 U.S. studies, but not cohorts in Europe or Asia, the 'Western' diet pattern was related to 37-64% greater CHD risk. In Asian cohorts, the 'Western' diet pattern was not related to increased CHD risk, which may be partially explained by the overall higher fish intake among Asians. The 'a posteriori', or data driven, approach to diet patterns is based on reported dietary intake and we found the components of each dietary pattern differed by geographic location and diet assessment instrument. We discuss how the non-standardized methods used to discern diet patterns from the dietary data may contribute to discrepant results. Further, the disparate findings may also be explained by differing sample characteristics, follow-up period, and CHD ascertainment. In summary, 'a posteriori' derived 'Prudent' diet pattern was related to cardiovascular health.

The effect of under-reporting of energy intake on dietary patterns and on the associations between dietary patterns and self-reported chronic disease in women aged 50–69 years

The aim of this cross-sectional study was to investigate whether under-reporting of energy intake affects derived dietary patterns and the association between dietary patterns and self-reported chronic disease. Diets of 6204 women aged 50–69 years participating in the Norwegian Breast Cancer Screening Program were assessed using a 253-item FFQ. We identified dietary patterns using principal component analysis. According to the revised Goldberg cut-off method, women with a ratio of reported energy intake:estimated BMR<1·10 were classified as low energy reporters (n 1133, 18 %). We examined the associations between dietary patterns and self-reported chronic diseases by log-binomial regression, and the results are presented as prevalence ratios (PR) and CI. ‘Prudent’, ‘Western’ and ‘Continental’ dietary patterns were identified among all reporters and plausible reporters. The PR expressing the associations between the ‘Western’ and ‘Prudent’ dietary pattern scores and self-reported chronic diseases were consistently highest among plausible reporters except for joint/muscle/skeletal disorders. The largest difference in PR among plausible v. all reporters was found for the association between the ‘Prudent’ pattern and diabetes (PR for highest v. lowest tertile: PRall reporters 2·16; 95 % CI 1·50, 3·13; Ptrend<0·001; PRplausible reporters 2·86; 95 % CI 1·81, 4·51; Ptrend<0·001). In conclusion, our results suggest that under-reporting can result in systematic error that can affect the association between dietary pattern and disease. In studies of dietary patterns, investigators ought to consider reporting effect estimates both for all individuals and for plausible reporters.

Sub-patterns of food consumption and hyperglycemia in Mexican young people: a study by factor analysis

BACKGROUND

The student population that is admitted to the University Juarez of Tabasco has poor healthy eating habits. Fasting glucose ≥5.6 mmol/L was found in 10% of the students.

OBJECTIVE

We wanted to identify the sub-pattern of their eating habits that could explain the hyperglycemia.

DESIGN

A questionnaire on the feeding habits was applied to 3,559 first-year students, who were subjected to a blood analysis to determine biochemical markers in 2011. Based on the obtained questionnaire data, the factorial analysis was used for the statistical analysis. The Kaiser-Meyer-Olkin measure for sampling adequacy was used for validation. To determine eating habits, Varimax normalization with Kaiser was used.

RESULTS

The number of students with euglycemia was 3,138, including 366 with values for prediabetes, and 55 with values for diabetes. After normalization using Varimax rotation with Kaiser, component 1 of participants with euglycemia included eight foods. The number of foods in component 1 of those participants with prediabetes was seven, and it diminished to four in those with fasting glucose >7 mmol/L.

CONCLUSIONS

It was found that glucose levels increase in direct relation to the diminution in the number of selected foods.

Dietary patterns of women aged 50-69 years and associations with nutrient intake, sociodemographic factors and key risk factors for non-communicable diseases

OBJECTIVE

In women, the risk for non-communicable diseases increases after menopause. We aimed to identify major dietary patterns and study their associations with nutrient intake, sociodemographic factors and risk factors for non-communicable diseases among women aged 50-69 years.

DESIGN

A cross-sectional study. Food intake was recorded by a 253-item FFQ. Dietary patterns were identified using principal component analysis. The associations between the dietary patterns and nutrients were described by Pearson's correlation coefficients and multiple regression analysis was used to examine the associations between the dietary patterns and age, education, BMI, physical activity and smoking.

SETTING

The Norwegian Breast Cancer Screening Programme.

SUBJECTS

Women (n 6298) aged 50-69 years.

RESULTS

Three dietary patterns were identified: 'Prudent', 'Western' and 'Continental'. Adherence to the 'Prudent' pattern was related to older age, higher education, higher BMI, more physical activity (P trend<0·001) and being a non-smoker (P<0·001). Adherence to the 'Western' pattern was related to older age, lower education, higher BMI, less physical activity (0·001≤P trend≤0·006) and lower alcohol intake (r =-0·28). Adherence to the 'Continental' pattern was related to younger age, higher education, higher BMI, less physical activity, (P trend<0·001), being a smoker (P<0·001) and higher alcohol intake (r=0·36).

CONCLUSIONS

Three distinct dietary patterns were identified. High adherence to a 'Prudent' pattern was associated with a healthy lifestyle, while high adherence to a 'Western' or 'Continental' pattern was associated with an unhealthy lifestyle. These findings are valuable knowledge for health authorities when forming strategies to promote a healthier lifestyle among women.

Clustering of Dietary Patterns, Lifestyles, and Overweight among Spanish Children and Adolescents in the ANIBES Study

Weight gain has been associated with behaviors related to diet, sedentary lifestyle, and physical activity. We investigated dietary patterns and possible meaningful clustering of physical activity, sedentary behavior, and sleep time in Spanish children and adolescents and whether the identified clusters could be associated with overweight. Analysis was based on a subsample (n = 415) of the cross-sectional ANIBES study in Spain. We performed exploratory factor analysis and subsequent cluster analysis of dietary patterns, physical activity, sedentary behaviors, and sleep time. Logistic regression analysis was used to explore the association between the cluster solutions and overweight. Factor analysis identified four dietary patterns, one reflecting a profile closer to the traditional Mediterranean diet. Dietary patterns, physical activity behaviors, sedentary behaviors and sleep time on weekdays in Spanish children and adolescents clustered into two different groups. A low physical activity-poorer diet lifestyle pattern, which included a higher proportion of girls, and a high physical activity, low sedentary behavior, longer sleep duration, healthier diet lifestyle pattern. Although increased risk of being overweight was not significant, the Prevalence Ratios (PRs) for the low physical activity-poorer diet lifestyle pattern were >1 in children and in adolescents. The healthier lifestyle pattern included lower proportions of children and adolescents from low socioeconomic status backgrounds.

Analysis of Dietary Pattern Impact on Weight Status for Personalised Nutrition through On-Line Advice: The Food4Me Spanish Cohort

Obesity prevalence is increasing. The management of this condition requires a detailed analysis of the global risk factors in order to develop personalised advice. This study is aimed to identify current dietary patterns and habits in Spanish population interested in personalised nutrition and investigate associations with weight status. Self-reported dietary and anthropometrical data from the Spanish participants in the Food4Me study, were used in a multidimensional exploratory analysis to define specific dietary profiles. Two opposing factors were obtained according to food groups’ intake: Factor 1 characterised by a more frequent consumption of traditionally considered unhealthy foods; and Factor 2, where the consumption of “Mediterranean diet” foods was prevalent. Factor 1 showed a direct relationship with BMI (β = 0.226; r² = 0.259; p < 0.001), while the association with Factor 2 was inverse (β = −0.037; r² = 0.230; p = 0.348). A total of four categories were defined (Prudent, Healthy, Western, and Compensatory) through classification of the sample in higher or lower adherence to each factor and combining the possibilities. Western and Compensatory dietary patterns, which were characterized by high-density foods consumption, showed positive associations with overweight prevalence. Further analysis showed that prevention of overweight must focus on limiting the intake of known deleterious foods rather than exclusively enhance healthy products.

Dietary patterns in the Avon Longitudinal Study of Parents and Children

Publications from the Avon Longitudinal Study of Parents and Children that used empirically derived dietary patterns were reviewed. The relationships of dietary patterns with socioeconomic background and childhood development were examined. Diet was assessed using food frequency questionnaires and food records. Three statistical methods were used: principal components analysis, cluster analysis, and reduced rank regression. Throughout childhood, children and parents have similar dietary patterns. The "health-conscious" and "traditional" patterns were associated with high intakes of fruits and/or vegetables and better nutrient profiles than the "processed" patterns. There was evidence of tracking in childhood diet, with the "health-conscious" patterns tracking most strongly, followed by the "processed" pattern. An "energy-dense, low-fiber, high-fat" dietary pattern was extracted using reduced rank regression; high scores on this pattern were associated with increasing adiposity. Maternal education was a strong determinant of pattern score or cluster membership; low educational attainment was associated with higher scores on processed, energy-dense patterns in both parents and children. The Avon Longitudinal Study of Parents and Children has provided unique insights into the value of empirically derived dietary patterns and has demonstrated that they are a useful tool in nutritional epidemiology.

Maternal Dietary Patterns during the Second Trimester Are Associated with Preterm Birth

BACKGROUND

Preterm birth is one of the leading causes of neonatal morbidity in the United States. Despite decades of research, the etiology is largely unknown.

OBJECTIVE

The purpose of our study was to examine the association between maternal dietary patterns during pregnancy and preterm birth.

METHODS

This prospective cohort study used data from the PIN (Pregnancy, Infection, and Nutrition) study (n = 3143). Dietary intake was assessed at 26-29 wk of gestation by using a food-frequency questionnaire, and patterns were derived by using factor analysis and the Dietary Approaches to Stop Hypertension (DASH) diet. Associations between dietary patterns and preterm birth were assessed by logistic regression.

RESULTS

Four dietary patterns were identified from the factor analysis characterized by high intakes of the following: 1) fruits, vegetables, low-fat dairy, high-fiber and fortified cereals, nonfried chicken and fish, and wheat bread; 2) beans, corn, French fries, hamburgers or cheeseburgers, white potatoes, fried chicken, mixed dishes, and ice cream; 3) collard greens, coleslaw or cabbage, red and processed meats, cornbread or hushpuppies, whole milk, and vitamin C-rich drinks; and 4) shellfish, pizza, salty snacks, and refined grains. Increased odds of preterm birth were found for a diet characterized by a high consumption of collard greens, coleslaw or cabbage, red meats, fried chicken and fish, processed meats, cornbread or hushpuppies, eggs or egg biscuits, gravy, whole milk, and vitamin C-rich drinks such as Kool-Aid (Kraft Foods) and Hi-C (Minute Maid Co.) (adjusted OR for quartile 4 vs. quartile 1: 1.55; 95% CI: 1.07, 2.24). Greater adherence to the DASH diet was associated with decreased odds of preterm birth compared with women in the lowest quartile (adjusted OR for quartile 4 vs. quartile 1: 0.59; 95% CI: 0.40, 0.85).

CONCLUSIONS

Diet quality during pregnancy is associated with preterm birth; thus, preconceptional and early prenatal dietary counseling promoting healthy dietary intake could improve pregnancy outcomes.

Early life determinants of dietary patterns in preschool children: Rhea mother-child cohort, Crete, Greece

BACKGROUND/OBJECTIVES

The determination of dietary patterns in children examines the effects of the overall diet at early ages, instead of looking at individual foods or energy providing nutrients. The present analysis aims to identify the dietary patterns of preschool children and to examine their associations with multiple socio-economic and lifestyle characteristics.

SUBJECTS/METHODS

Dietary data were collected for 1081 children participating in the Rhea mother-child cohort in Crete, Greece. Diet was assessed using a validated food frequency questionnaire, and dietary patterns were identified with principal component analysis. Multivariable linear regression models were used to examine factors associated with each dietary pattern.

RESULTS

Three dietary patterns were identified explaining 45.8% of the total diet variation. The 'Mediterranean' pattern was based on pulses, olive oil, vegetables, fish and fruits; the 'Snacky' pattern included potatoes and other starchy roots, salty snacks, sugar products and eggs; the 'Western' pattern contained cereals, cheese, added lipids, beverages and meat. Preschool attendance and increased time spent with the mother (⩾2 h/day) were positively associated with the 'Mediterranean' pattern, whereas watching TV was inversely associated with this pattern. Lower parental education, maternal age and earlier introduction to solid foods were positively associated with the 'Snacky' pattern. Higher scores on the 'Western' type diet were associated with exposure to passive smoking and watching TV. No variation in energy providing nutrient intake was observed across tertiles of the identified dietary patterns.

CONCLUSIONS

The results from this analysis indicate the important role of socio-demographic factors on children's dietary preferences in early age.

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

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, n 361), 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 (r(adj)) 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 ≤ r(adj) ≤ -0·13). The 'Vegetarian' dietary pattern scores were significantly positively correlated with all the plasma carotenoids (0·15 ≤ r(adj) ≤ 0·24). The 'Continental' dietary pattern scores were significantly inversely correlated with plasma lutein and α-carotene (r(adj) = -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.