Dietary patterns are associated with metabolic syndrome in an urban Mexican population

The association between dietary patterns and metabolic syndrome among Iranian adults, a cross-sectional population-based study (findings from Bandare-Kong non-communicable disease cohort study)

BACKGROUND

Metabolic syndrome is a cluster of metabolic disorders increasing the risk of cardiovascular disease and diabetes. Dietary patterns are supposed to be important and controllable factors in developing metabolic syndrome. The purpose of this study was to investigate the association of dietary patterns with metabolic syndrome and its components.

SUBJECTS/METHODS

Cross-sectional data were extracted from the Bandare-Kong cohort study conducted on 4063 people aged 35 to 70. Dietary patterns were extracted using principal component analysis based on thirty-eight pre-defined food groups. Multivariable logistic regression was conducted to investigate the association between metabolic syndrome and its components with quintiles of dietary patterns in crude and adjusted models.

RESULTS

Three major dietary patterns were identified (healthy, western, and traditional) in the final analysis of 2823 eligible individuals. After adjusting for covariates, the odds of metabolic syndrome were significantly decreased by 46% in subjects with the highest adherence to the healthy dietary pattern compared to those with the lowest adherence quintile. Results from fully adjusted models on individual metabolic syndrome components showed an inverse association between higher adherence to the healthy dietary pattern and the odds of increased blood glucose, high waist circumference, and elevated blood pressure. However, in fully adjusted models, no significant association was observed between the western and traditional dietary patterns with odds of metabolic syndrome and its components.

CONCLUSIONS

Adherence to a healthy dietary pattern containing high amounts of fruits, vegetables, nuts, low-fat dairy products, and legumes, could be recommended to prevent and control metabolic syndrome.

Dietary Patterns Are Associated with the Gut Microbiome and Metabolic Syndrome in Mexican Postmenopausal Women

Postmenopausal women are at an increased risk of developing metabolic syndrome (MetS) due to hormonal changes and lifestyle factors. Gut microbiota (GM) have been linked to the development of MetS, and they are influenced by dietary habits. However, the interactions between dietary patterns (DP) and the GM of postmenopausal women, as well as their influence on MetS, still need to be understood. The present study evaluated the DP and microbiota composition of postmenopausal Mexican women with MetS and those in a control group. Diet was assessed using a food frequency questionnaire, and the GM were profiled using 16S rRNA gene sequencing. Greater adherence to a "healthy" DP was significantly associated with lower values of MetS risk factors. GM diversity was diminished in women with MetS, and it was negatively influenced by an "unhealthy" DP. Moreover, a higher intake of fats and proteins, as well as lower amounts of carbohydrates, showed a reduction in some of the short-chain fatty acid-producing genera in women with MetS, as well as increases in some harmful bacteria. Furthermore, Roseburia abundance was positively associated with dietary fat and waist circumference, which may explain 7.5% of the relationship between this macronutrient and MetS risk factors. These findings suggest that GM and diet interactions are important in the development of MetS in postmenopausal Mexican women.

A machine learning approach to personalized predictors of dyslipidemia: a cohort study

Introduction

Mexico ranks second in the global prevalence of obesity in the adult population, which increases the probability of developing dyslipidemia. Dyslipidemia is closely related to cardiovascular diseases, which are the leading cause of death in the country. Therefore, developing tools that facilitate the prediction of dyslipidemias is essential for prevention and early treatment.

Methods

In this study, we utilized a dataset from a Mexico City cohort consisting of 2,621 participants, men and women aged between 20 and 50 years, with and without some type of dyslipidemia. Our primary objective was to identify potential factors associated with different types of dyslipidemia in both men and women. Machine learning algorithms were employed to achieve this goal. To facilitate feature selection, we applied the Variable Importance Measures (VIM) of Random Forest (RF), XGBoost, and Gradient Boosting Machine (GBM). Additionally, to address class imbalance, we employed Synthetic Minority Over-sampling Technique (SMOTE) for dataset resampling. The dataset encompassed anthropometric measurements, biochemical tests, dietary intake, family health history, and other health parameters, including smoking habits, alcohol consumption, quality of sleep, and physical activity.

Results

Our results revealed that the VIM algorithm of RF yielded the most optimal subset of attributes, closely followed by GBM, achieving a balanced accuracy of up to 80%. The selection of the best subset of attributes was based on the comparative performance of classifiers, evaluated through balanced accuracy, sensitivity, and specificity metrics.

Discussion

The top five features contributing to an increased risk of various types of dyslipidemia were identified through the machine learning technique. These features include body mass index, elevated uric acid levels, age, sleep disorders, and anxiety. The findings of this study shed light on significant factors that play a role in dyslipidemia development, aiding in the early identification, prevention, and treatment of this condition.

Dietary Patterns, Cardiometabolic and Lifestyle Variables in Greeks with Obesity and Metabolic Disorders

There is considerable evidence that some dietary patterns contribute to obesity and metabolic disorders but there is less data on diet's association with different health parameters. We investigated the interaction between different dietary patterns and anthropometric, biochemical, lifestyle, and psychological health parameters in a Greek population with obesity and metabolic disorders. To the best of our knowledge, this is the first study in Greece with a thorough and holistic approach in analyzing such relationships. For assessing food patterns, revealing underlying structures, and reducing the number of variables we applied exploratory factor analysis (EFA). Principal Component Analysis was chosen as the extraction method using Varimax rotation, and three regression sets were computed. The study involved 146 Greek metabolically unhealthy obese adults, both men and women. Our cohort was categorized into four dietary patterns: "Western type diet", "Mediterranean-like diet", "Healthy diet", and "Animal meat and sauces diet". Dietary patterns characterized by a high consumption of energy-dense and animal-derived foods were positively associated with anthropometric and biochemical parameters related to metabolic disorders. Plant-based, healthier dietary patterns, on the other hand, were associated with better biochemical and mental health profiles among metabolically unhealthy obese individuals.

Westernized and Diverse Dietary Patterns Are Associated With Overweight-Obesity and Abdominal Obesity in Mexican Adult Men

Introduction

The prevalence of overweight and obesity in Mexican adults is very high. To identify the dietary characteristics related with this disorder is necessary to design intervention. The objective was to analyze the association between dietary patterns and obesity in Mexican adults.

Materials and Methods

This is a cross-sectional study carried out in Mexican adults (20–59 years old) participating in the Halfway National Health and Nutrition Survey 2016. Participants (n = 5,735) were classified as having normal weight, overweight-obesity and by their abdominal circumference as having abdominal obesity or not. With information from a 7-day food frequency questionnaire, we used a K-means cluster analysis to derive dietary patterns and calculated a healthy diet indicator to evaluate quality. The association between dietary patterns and overweight-obesity and abdominal obesity was assessed with Poisson regression models adjusted by some characteristics.

Results

We identified a Rural pattern characterized by tortilla, legumes and egg consumption; a Diverse pattern, characterized by fruits, meat and poultry, vegetables, and dairy beverages, and desserts; and a Westernized pattern, characterized by sweetened non-dairy beverages, fast food, bakery and cookies, candies and salty snacks. In men, Westernized pattern was associated with overweight-obesity (PR = 1.11, 95% CI 0.97–1.27), and abdominal obesity (PR = 1.15, 95% CI 1.00–1.33), the Diverse pattern was associated with overweight-obesity (PR = 1.18, 95% CI 1.00–1.38), and abdominal obesity (PR = 1.27, 95% CI 1.07–1.50), compared with the Rural pattern. In women, these dietary patterns were not associated with obesity.

Discussion

Westernized and Diverse patterns are associated with overweight and obesity and abdominal obesity in men. Gender-specific recommendations and surveillance are necessary in the Mexican adult population.

A dietary pattern high in full-fat dairy and sweetened beverages is associated with glycated hemoglobin and weight in Mexican patients with type-2 diabetes

OBJECTIVE

the aim of this study was to identify dietary patterns in a sample of patients with type-2 diabetes, and to evaluate their association with markers of metabolic control.

METHODS

a cross-sectional study in 395 patients with type-2 diabetes in primary care was conducted. Fasting blood levels of glycated hemoglobin (A1c), glucose, total cholesterol, low- (LDL-c) and high-density lipoprotein cholesterol (HDL-c), and triglycerides were measured. Waist circumference, body mass index (BMI), and blood pressure were evaluated. Dietary intake was assessed by a food frequency questionnaire, and dietary patterns were derived by cluster analysis. Three dietary patterns were identified: 'fruits and vegetables', 'dairy and sweetened beverages', and 'diverse with alcohol'.

RESULTS

an association between the 'dairy and sweetened beverages' dietary pattern and A1c levels was identified (ß = 0.61; 95 % CI: 0.09, 1.12, p = 0.021), considering the 'fruits and vegetables' dietary pattern as the reference group. We also observed a trend towards an adjusted increased risk of A1c ≥ 7 % (odds ratio [OR]: 1.56; 95 % CI: 0.92, 2.64; p = 0.099) and an increased risk of BMI ≥ 25 kg/m2 (OR: 2.62, 95 % CI: 1.20, 5.71, p = 0.015) among patients in the 'dairy and sweetened beverages' dietary pattern as compared to the reference group.

CONCLUSIONS

a dietary pattern characterized by a high intake of full-fat dairy and sweetened beverages was associated with higher A1c levels and increased risk of high glucose and BMI when compared to a dietary pattern with a higher consumption of fruits and vegetables.

Dietary networks identified by Gaussian graphical model and general and abdominal obesity in adults

BACKGROUND

Gaussian graphical model (GGM) has been introduced as a new approach to identify patterns of dietary intake. We aimed to investigate the link between dietary networks derived through GGM and obesity in Iranian adults.

METHOD

A cross-sectional study was conducted on 850 men and women (age range: 20-59 years) who attended the local health centers in Tehran. Dietary intake was evaluated by using a validated food frequency questionnaire. GGM was applied to identify dietary networks. The odds ratios (ORs) and 95% confidence intervals (CIs) of general and abdominal adiposity across tertiles of dietary network scores were estimated using logistic regression analysis controlling for age, sex, physical activity, smoking status, marital status, education, energy intake and menopausal status.

RESULTS

GGM identified three dietary networks, where 30 foods were grouped into six communities. The identified networks were healthy, unhealthy and saturated fats networks, wherein cooked vegetables, processed meat and butter were, respectively, central to the networks. Being in the top tertile of saturated fats network score was associated with a higher likelihood of central obesity by waist-to-hip ratio (OR: 1.56, 95%CI: 1.08, 2.25; P for trend: 0.01). There was also a marginally significant positive association between higher unhealthy network score and odds of central obesity by waist circumference (OR: 1.37, 95%CI: 0.94, 2.37; P for trend: 0.09). Healthy network was not associated with central adiposity. There was no association between dietary network scores and general obesity.

CONCLUSIONS

Unhealthy and saturated fat dietary networks were associated with abdominal adiposity in adults. GGM-derived dietary networks represent dietary patterns and can be used to investigate diet-disease associations.

Culturally-consistent diet among individuals of Mexican descent at the US-Mexico border is associated with sleep duration and snoring

BACKGROUND

Existing studies show that consuming food consistent with one's culture reduces cardiometabolic risk. However, few studies have assessed whether these dietary choices influence sleep health. Accordingly, this study assessed how Mexican food consumption by individuals of Mexican descent residing at the US-Mexico border, was associated with various measures of sleep, after accounting for acculturation.

METHODS

Data were provided by 100 adults between the ages of 18-60, in the city of Nogales, AZ. Questionnaires were provided in either Spanish or English. Acculturation was assessed with the Acculturation Scale for Mexican-Americans (ARSMA-II), with an additional question, asking how often "my family cooks Mexican foods." Frequency of cooking Mexican food was coded as either "yes" or "no." Sleep was assessed, using validated measures that include the Insomnia Severity Index (ISI), the Epworth Sleepiness Scale (ESS), the Pittsburgh Sleep Quality Index (PSQI), and sleep duration with the item "how many hours of actual sleep did you get at night?" Regression models estimated the associations between sleep health variables as outcomes and consumption of Mexican food as the independent variable. Covariates included age, sex, and acculturation scores. Parental education level was also included, as an indicator of childhood socioeconomic status and since food culture likely involves parents.

RESULT

We found that among individuals who identified as Mexican-Americans who consumed culturally-consistent foods, was associated with, on average, 1.41 more hours of sleep (95% CI 0.19, 2.62; p = 0.024) and were less likely to report snoring (OR: 0.25; 95% CI 0.07, 0.93; p = 0.039). Consuming Mexican food was not associated with sleep quality, insomnia severity or sleepiness.

CONCLUSION

Individuals of Mexican descent residing at the US-Mexico border who regularly consumed Mexican food, reported more sleep and less snoring. Mexican acculturation has been shown previously to improve sleep health. This is likely due to consumption of a culturally- consistent diet. Future studies should examine the role of acculturation in sleep health, dietary choices, and subsequent cardiometabolic risk.

Nutrition education on obesity and diabetes to medical students

It is important for medical students to understand the relationship between nutrition, obesity, and diabetes to educate their patients in the future. However, medical training does not always include nutritional education. An experiential learning project was incorporated into the medical school curriculum as an effort to implement nutrition in the physiology course. First-year medical students (n = 140) received lectures on the regulation of blood glucose levels and their relationship to carbohydrates with different glycemic indexes (GI), obesity, and diabetes. Lectures were followed by a laboratory exercise where students calculated their body mass index (BMI), percentage body fat, and percentage muscle using a Bioelectrical Impedance Commercial Scale. While 63% of students had normal BMI, 31% were overweight or obese and 5% were underweight. A subgroup of 54 students tested different types of breakfasts with varying GI and provided blood samples at 0, 30, 60, 90, and 120 min. Their glucose responses were plotted based on the breakfast GI. Pre- and posttests were conducted to assess the teaching intervention where the Wilcoxon signed ranks test indicated that posttest ranks were significantly higher than pretest ranks (Z = -6.6, P < 0.001), suggesting the intervention was beneficial to students.

Association of gut microbiome with fasting triglycerides, fasting insulin and obesity status in Mexican children

BACKGROUND

The association of gut microbiota with obesity and its cardio-metabolic complications in paediatric populations is still controversial.

OBJECTIVE

We investigated the association of obesity and cardio-metabolic traits with gut microbiota on 167 and 163 children with normal weight and obesity from Mexico City and Oaxaca, Mexico.

METHODS

Anthropometric and biochemical traits were measured. The microbial communities were determined by high-throughput sequencing of bacterial 16S rRNA gene v3-v4 region.

RESULTS

The gut microbial community structure was associated with obesity and fasting plasma insulin (FPI) in Mexico City (P_Obesity = 0.012, P_FPI = 0.0003) and Oaxaca (P_Obesity = 0.034, P_FPI = 0.016), and with triglycerides (TG) in Oaxaca (P = .0002). The Firmicutes/Bacteroidetes ratio was positively associated with TG in Oaxaca (P = .003). Firmicutes and Bacteroidetes phyla were positively and negatively associated with obesity (Mexico City: P_Firmicutes = 0.013, P_{Bacteroidetes} = 0.009) and TG (Oaxaca: P_Firmicutes = 0.002, P_{Bacteroidetes} = 0.004). In Oaxaca, Verrucomicrobia was negatively associated with obesity (P = .004). In Mexico City, the bacterial genus Fusicatenibacter, Romboutsia, Ruminococcaceae, Ruminiclostridium, Blautia, Clostridium, Anaerostipes and Intestinibacter were associated with obesity and FPI, while in Oaxaca, Bacteroides, Alistipes and Clostridium were associated with TG.

CONCLUSION

The gut microbial community structure in children is associated with obesity and FPI in Mexico City, and with obesity, FPI and TG in Oaxaca.

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.

From Liver Fat to Cancer: Perils of the Western Diet

Hepatocellular carcinoma (HCC), the most common type of primary liver cancer provides the prototypical example of an obesity-related cancer. The obesity epidemic gave rise to an enormous increase in the incidence of non-alcoholic fatty liver disease (NAFLD), a condition that affects one third of American adults. In about 20% of these individuals, simple liver steatosis (hepatosteatosis) progresses to non-alcoholic steatohepatitis (NASH) characterized by chronic liver injury, inflammation, and fibrosis. In addition to liver failure, NASH greatly increases the risk of HCC. Here we discuss the metabolic processes that control the progression from NAFLD to NASH and from NASH to HCC, with a special emphasis on the role of free-non-esterified cholesterol in the process.

Diet quality indices and risk of metabolic syndrome among postmenopausal women of Mexican ethnic descent in the Women's Health Initiative Observational Study

BACKGROUND

The prevalence of metabolic syndrome is higher among minority populations, including individuals of Mexican ethnic descent. Whether alignment to healthy dietary patterns is associated with lower risk of metabolic syndrome in this population is largely unknown.

OBJECTIVE

To prospectively evaluate the associations between a priori diet quality scores and risk of metabolic syndrome and its components among postmenopausal women of Mexican ethnic descent.

METHODS

A total of 334 women of Mexican ethnic descent who participated in the Women's Health Initiative (WHI) observational study without metabolic syndrome or diabetes at baseline (1993-1998) were included. Baseline diets were scored with the Alternate Mediterranean Diet (aMED), the Dietary Approaches to Stop Hypertension (DASH), the Healthy Eating Index (HEI-2010), the Mediterranean Diet Score (MDS), and the traditional Mexican Diet (MexD) score. Multivariable linear and logistic regression models were used to test the associations between baseline diet quality and risk of metabolic syndrome and its individual components at follow-up (2012-2013).

RESULTS

Approximately 16% of women met the criteria for metabolic syndrome at follow-up. None of the diet quality indices were associated with risk of metabolic syndrome. However, higher vs lower DASH scores were associated with lower waist circumference (85.2 vs 88.0 cm) and glucose concentrations (90.0 vs 95.1 mg/dL), and higher HDL cholesterol (62.6 vs 59.0 mg/dL), while higher vs lower HEI-2010 scores were associated with lower waist circumference (83.9 vs 88.1 cm), triglycerides (103 vs 117 mg/dL) and glucose concentrations (89.5 vs 94.4 mg/dL), and higher HDL cholesterol levels (63.9 vs 58.5 mg/dL).

CONCLUSIONS

Diet quality was not associated with risk of metabolic syndrome in this population. However, the results suggest that alignment to DASH and HEI-2010 recommendations may be beneficial for reducing some individual components of metabolic syndrome among postmenopausal women of Mexican descent.

Cross-country comparison of dietary patterns and overweight and obesity among adult women in urban Sub-Saharan Africa

OBJECTIVE

To derive dietary patterns (DP) among women of reproductive age (WRA) and older women in urban Sub-Saharan Africa (SSA), and to examine their association with body mass index (BMI), overweight and obesity.

DESIGN

We used principal component analysis to derive DP. Their association with BMI, overweight and obesity was assessed using linear and multinomial logistic regression models controlling for age, marital status, education and wealth.

SETTING

Cross-sectional data from prospective studies in Accra, Ghana (2008-2009), Dar es Salaam, Tanzania (2014) and Lilongwe and Kasungu, Malawi (2017-2018) were used.

PARTICIPANTS

We compared WRA in Ghana (18-54 years, n 1762) and Malawi (19-48 years, n 137), and older women in Ghana (≥55 years, n 514) and Tanzania (≥50 years, n 134).

RESULTS

Among WRA, protein and healthy DP were identified in both Ghana and Malawi. In Ghana, the protein DP was associated with higher odds of overweight or obesity (adjusted OR 1·82, 95 % CI 1·27, 2·60 for quintile 2). Among older women, three DP were identified in Ghana (cereal, protein and healthy) and two DP in Tanzania (protein and healthy). The protein DP was associated with higher BMI in Ghana (adjusted mean difference 2·83, 95 % CI 0·95, 4·71 for quartile 3).

CONCLUSIONS

Higher quintiles of the protein DP were associated with higher BMI and odds of overweight or obesity among women in urban Ghana, but not in Malawi or Tanzania. Further research is needed to understand how DP influence overweight and obesity among adult women in urban SSA.

The combination of linagliptin, metformin and lifestyle modification to prevent type 2 diabetes (PRELLIM). A randomized clinical trial

BACKGROUND

Prediabetes is a highly prevalent health problem with a high risk of complications and progression to type 2 diabetes (T2D). The goals of this study were to evaluate the effect of the combination of lingaliptin + metformin + lifestyle on glucose tolerance, pancreatic β-cell function and T2D incidence in patients with prediabetes.

METHODS

A single center parallel double-blind randomized clinical trial with 24 months of follow-up in patients with impaired glucose tolerance plus two T2D risk factors which were randomized to linagliptin 5 mg + metformin 1700 mg daily + lifestyle (LM group) or metformin 1700 mg daily + lifestyle (M group). Primary outcomes were regression to normoglycemia and T2D incidence; glucose levels and pancreatic β-cell function were secondary outcomes.

RESULTS

Subjects were screened for eligibility by OGTT and 144 patients with prediabetes were randomized to LM group (n = 74) or M group (n = 70); 52 and 36 participants in the LM group and 52 and 27 participants in the M group, completed the 12 and 24 months of treatment, respectively; average follow-up was 17 ± 6 and 18 ± 7 months in M and LM group, respectively. Glucose levels during OGTT improved more in LM group. OGTT disposition index (DI) improved significantly better during the first months in LM group, increasing from 1·31 (95% CI: 1·14-1·49) to 2·41 (95% CI: 2.10-2.72) and to 2.07 (95% CI: 1.82-2.31) at 6 and 24 months in LM group vs from 1.21 (95% CI: 0.98-1.34) to 1.56 (95% CI: 1.17-1.95) and to 1.72 (95% CI: 1.45-1.98) at 6 and 24 months in M group (p < .05). T2D incidence was higher in M group in comparison to LM group (HR 4.0, 95% CI: 1.24-13.04, p = .020). The probability of achieving normoglycemia was higher in LM group (OR 3.26 CI 95% 1.55-6.84). No major side effects were observed during the study.

CONCLUSIONS

The combination of linagliptin, metformin and lifestyle improved significantly glucose metabolism and pancreatic β-cell function, and reduced T2D incidence in subjects with prediabetes as compared to metformin and lifestyle.

Dietary Patterns in Chinese Americans are Associated with Cardiovascular Disease Risk Factors, the Chinese American Cardiovascular Health Assessment (CHA CHA)

Little is known about the dietary patterns of Chinese Americans. Understanding their dietary patterns can provide insights for addressing cardiovascular disease (CVD) risk among Chinese American immigrants. The objective of this study was to identify dietary patterns among Chinese American immigrants living in New York City (NYC) and to describe associations with demographic and CVD risk factors. A validated Food Frequency Questionnaire assessed usual dietary intake in Chinese American immigrants living in NYC as part of the Chinese American Cardiovascular Health Assessment (CHA CHA) in 2010-2011 (n = 1973, age range 21-89 years). Principal components analysis with varimax rotation retaining three factors with eigenvalues > 1.5 identified dietary patterns. Multivariable linear regression models tested associations between CVD risk factors and dietary pattern scores. In multivariable analyses, each unit of increase in the Sweets factor was associated with 0.76 ± 0.33 (mean ± SD) mg/dL higher HDL cholesterol and a 6.2 ± 2.7% increase in HOMA-IR. In contrast, each unit increase in the Fried Noodles factor was associated with a 0.27 ± 0.11 inch greater waist circumference, - 0.89 ± 0.40 mg/dL lower HDL cholesterol, and also a 6.9 ± 2.6% increase in HOMA-IR. Each unit increase in the Vegetables factor was associated with a - 1.40 ± 0.43 mmHg and - 0.95 ± 0.27 mm Hg decrease in systolic and diastolic blood pressure, respectively. Dietary patterns are significantly associated with CVD risk factors among Chinese American immigrants in NYC. Future work will inform how dietary patterns relate to level of acculturation in order to guide the development of dietary interventions to reduce CVD risk.

Dietary Patterns and Metabolic Syndrome in Adult Subjects: A Systematic Review and Meta-Analysis

Metabolic Syndrome (MetS) constitutes a relevant public health burden. Several studies have demonstrated the association between diet and MetS. We performed a systematic review and meta-analysis to provide an estimate of the association between dietary patterns defined through a posteriori methods and MetS. A literature search on PubMed, Web of Science, and Scopus databases, up to March 2019, was conducted to identify all eligible case-control, prospective, or cross-sectional studies involving adult subjects of both sexes. Random-effects models were used. Heterogeneity and publication bias were evaluated. Stratified analyses were conducted on study characteristics. Forty observational studies were included in the meta-analysis, which identified the “Healthy” and the “Meat/Western” dietary patterns. The “Healthy” pattern was associated with reduced MetS risk (OR = 0.85; 95% confidence interval (CI): 0.79–0.91) and significantly decreased the risk in both sexes and in Eastern countries, particularly in Asia. Adherence to the “Meat/Western” pattern increased MetS risk (OR = 1.19; 95% CI: 1.09–1.29) and the association persisted in the stratified analysis by geographic area (Asia, Europe, America) and study design. Lifestyle is linked to risk of developing MetS. The “Healthy” and “Meat/Western” patterns are significantly associated with reduced and increased MetS risk, respectively. Nutrition represents an important modifiable factor affecting MetS risk.

Feasibility and acceptability of a Mediterranean-style diet intervention to reduce cardiovascular risk for low income Hispanic American women

OBJECTIVE

Evidence for the cardioprotective effects of a Mediterranean-style (Med-style) diet is strong, however few Med-style dietary interventions have been developed for and tested among Hispanic Americans (HAs), especially younger HAs of reproductive age whose dietary habits may strongly influence dietary intake for all family members.

DESIGN

We adapted a previously tested and evidence-informed lifestyle intervention to reduce CVD risk and evaluated its feasibility, acceptability, and effects on self-reported lifestyle behaviors in this study enrolling low-income HA women attending a Title X family planning clinic in eastern North Carolina. The 3-month long intervention, given to all participants, promoted a Med-style dietary pattern with a focus on increasing consumption of foods commonly consumed by HA that have high quality dietary fats (polyunsaturated and monounsaturated fats primarily from plant sources and fish) and carbohydrates (fruits, vegetables, and whole grains). The intervention also recommended increasing physical activity and was given during 2 face-to-face counseling sessions and 2 telephone counseling sessions. Major outcomes were engagement with study activities and intervention acceptability; lifestyle behavior change at 3-month follow-up is also reported.

RESULTS

Baseline characteristics (n = 36) were: mean age 33 years, 35 (97%) without health insurance, 32 (89%) born in Mexico, and mean BMI 30 kg/m2. Engagement was high among the 36 participants with 33 (92%) completing the intervention and follow-up measures. At follow-up, most participants thought the intervention was helpful (range: 85-100%) and acceptable (100% agreed 'I would recommend the program to others'). The mean dietary fat quality score improved by 0.5 units (95% CI: 0.0-1.1) and the mean fruit-vegetable servings/day improved by 0.7/day (95% CI: 0.1-1.3).

CONCLUSION

Intervention engagement and acceptability were high and there was improvement in self-reported dietary behaviors. This type of Med-style dietary pattern intervention should be evaluated in randomized trials enrolling HAs at risk for CVD.

Unhealthy dietary patterns among healthcare professionals and students in Mexico

Background

While dietary patterns (DPs) enable the combination of foods that make up a person’s habitual diet to be known, little is known about the DPs of health sector professionals. The objective of this study was to describe the DPs of healthcare students and professionals and assess their association with sociodemographic, lifestyle, anthropometric and biochemical characteristics.

Methods

Cross-sectional design. A sample (n = 319) of healthcare students and professionals in apparent good health who studied or worked at the University of Guadalajara (Mexico) was selected. A semiquantitative food intake frequency questionnaire validated on a Mexican population was administered. Questions covering sociodemographic factors, smoking habits and physical activity were asked. Weight, height, waist circumference, blood pressure, triglycerides, glucose, HDL-cholesterol, LDL-cholesterol and total cholesterol were also measured. DPs were generated from a principal components analysis of 25 food groups, and associations were analyzed using logistic regression adjusted for age and sex.

Results

The majority of participants were younger than 29 years (84%), women (71.2%) and students (59.6%). Three DPs were identified: “Traditional Westernized”, “Healthy” and “Animal protein and alcoholic beverages”. After adjustment, the “Traditional Westernized” DP was positively associated with being younger than 22 years (OR: 2.15; 95%CI: 1.1–4.1); the “Healthy” DP was positively associated with having a daily energy expenditure from physical activity greater than 605 kcal (OR: 4.19; 95%CI: 2.3–7.5), and it was negatively associated with being younger than 22 years (OR: 0.48; 95%CI: 0.2–0.9); and the “Animal protein and alcoholic beverages” DP was positively associated with being male (OR: 3.07; 95%CI: 1.8–5.1) and a smoker (OR: 2.77; 95%CI: 1.2–6.3). No association was found between DPs and anthropometric and biochemical characteristics.

Conclusions

Among the participants evaluated, healthy DP was associated with being physically active while unhealthy DPs were associated with being younger than 22 years, male and a smoker. These data suggest that being knowledgeable about health does not ensure that individuals will engage in healthy behaviors. As is the case among the general population, training and individual efforts aimed at achieving healthy behaviors must be reinforced by initiatives undertaken by social groups, social institutions, the community at large as well as political and business leaders.

Dietary patterns associated with hypertension risk among adults in Thailand: 8-year findings from the Thai Cohort Study

Objective

Dietary intake is a leading risk factor for hypertension. We aimed to assess longitudinal associations between overall dietary patterns and incident hypertension among adults in Thailand.

Design

Prospective large Thai Cohort Study (TCS) conducted nationwide from 2005 to 2013. Dietary patterns were identified using factor analysis based on usual intake of fourteen food groups. Multivariable logistic regression assessed associations between dietary patterns and hypertension prevalence and incidence.

Setting

Emerging hypertension and changing diets in Thailand.

Subjects

TCS participants who were normotensive at baseline in 2005.

Results

Among 36293 participants without hypertension at baseline, 1831 reported incident hypertension (5·1 % incidence) at follow-up. Two dietary patterns were identified: ‘Modern’ and ‘Prudent’. The Modern dietary pattern (high intakes of roasted/smoked foods, instant foods, canned foods, fermented fruits/vegetables, fermented foods, soft drinks, deep-fried foods) was associated with increased incident hypertension (comparing extreme quartiles, OR for incident hypertension=1·51; 95 % CI 1·31, 1·75 in 2013). The Prudent dietary pattern (high intakes of soyabean products, milk, fruits, vegetables) was not associated with incident hypertension in a fully adjusted model. The association between the Modern dietary pattern and hypertension was attenuated by BMI.

Conclusions

Modern dietary pattern was positively associated with hypertension among Thai adults. BMI had a great impact on the relationship between the Modern dietary pattern and incidence of hypertension. Reduction of Modern diets would be expected to prevent and control hypertension. Such a strategy would be worth testing.

[Dietary patterns and metabolic syndrome components in women with excess weight 18 to 45 years old]

OBJECTIVE

To analyze the association between dietary patterns and metabolic syndrome (MS) components in adult women with excess weight.

MATERIAL AND METHODS

Cross-sectional study with anthropometric, dietary, biochemical and blood pressure data. Dietary patterns were identified by factor analysis and multiple logistic regression models were used to analyze associations.

RESULTS

The prevalence of altered glucose was 14.6%, of hypertriglyceridemia 40.4%, of altered concentration of high density lipoprotein cholesterol(HDLc) 45.0%, hypertension 4.6% and MS 30%. The pattern with high consumption of corn tortillas, meats and legumes, was associated with less possibility of hyperglycemia (OR= 0.62; 95%CI 0.39-0.98). The pattern with high consumption of sweet and salty snacks, milk, rice, soaps and pasta, was inversely associated with the possibility of low HDLc concentration (OR= 0.76; 95%CI 0.60-0.97).

CONCLUSIONS

A dietary pattern with greater consumption of legumes, meats and corn tortillas was associated with less possibility of having hyperglycemia.

Longitudinal association of metabolic syndrome and dietary patterns: A 13-year prospective population-based cohort study

BACKGROUND AND AIMS

Diet is a potential factor contributing to the development of the Metabolic Syndrome (MetS). This longitudinal study with repeated measurements of dietary intake was thus conducted to examine the longitudinal association between major dietary patterns and risk of MetS.

METHODS AND RESULTS

The study was conducted within the framework of the Isfahan Cohort Study (ICS), in which 1387 participants were followed from 2001 to 2013. Validated food frequency questionnaire, anthropometric measurements, blood pressure, fasting serum lipids and blood sugars were evaluated in three phases of the study. Mixed effect Logistic and Cumulative Logit regressions were applied to evaluate the longitudinal associations between dietary patterns change and MetS and number of MetS components. Three dietary patterns were identified: Healthy, Iranian and Western dietary patterns. After adjustment for potential confounders, the higher scores of Healthy diet were inversely associated with the risk of MetS and number of MetS components (OR: 0.50, 95% CI: 0.36-0.70, OR: 0.52, 95% CI: 0.39-0.70, respectively). The greater adherence to the Iranian diet was positively associated with the risk of MetS and number of MetS components (OR: 1.28, 95% CI: 1.01-1.65, OR: 1.45, 95% CI: 1.16-1.81, respectively). The Western dietary pattern did not show any significant associations.

CONCLUSION

Adherence to a Healthy diet was associated with lower risk of MetS even in a developing country setting. However, the Iranian diet was positively associated with the risk of MetS. These results may guide the development of improved preventive nutrition interventions in this adult population.

Current evidence on the association of the metabolic syndrome and dietary patterns in a global perspective

The metabolic syndrome (MetS) is a key indicator of two main causes of death worldwide: CVD and diabetes. The present paper aimed to perform a review of the population-based research on the association of dietary patterns and the MetS in terms of methodology and findings. For the purpose of the present study, a scoping literature review was conducted using MEDLINE and EMBASE databases and hand searching in Google Scholar. Thirty-nine population-based studies were selected. Most of these studies used the factor analysis method and the a priori dietary approach, which had been initially extracted via a posteriori methods such as using the Mediterranean dietary pattern. The main finding was that following the Mediterranean or similar 'healthy' pattern reduced risk of the MetS, while following a 'Western' pattern increased risk of the MetS. The methodological approach in determining the dietary pattern of a population, whether a priori or a posteriori, should be chosen based on the purpose of the research. Overall, evidence suggests a diet based on the components of the Mediterranean diet and the avoidance of the 'Western' diet can aid in preventing the MetS.

A posteriori dietary patterns and metabolic syndrome in adults: a systematic review and meta-analysis of observational studies

OBJECTIVE

Observational studies reported potential associations between different dietary patterns and the risk of metabolic syndrome (MetS); however, a consistent perspective has not been established to date. The current systematic review and meta-analysis aimed to evaluate the relationship between a posteriori dietary patterns and MetS by pooling available data.

DESIGN

MEDLINE and EMBASE databases were searched for relevant articles published up to July 2015 with no time restriction and with English language restriction. Two independent reviewers completed study selection and data extraction. Random-effects models (DerSimonian-Laird method) were used to pool effect sizes of eligible studies. The potential sources of heterogeneity were assessed using the I2 statistic.

RESULTS

Nineteen papers that identified dietary patterns using an a posteriori method were selected and included in the meta-analysis. The 'Healthy/Prudent' dietary pattern was inversely associated with risk of MetS (OR=0·89; 95 % CI 0·84, 0·94, P=0·002). In contrast, the 'Unhealthy/Western' dietary pattern had a significant positive association with risk of MetS (OR=1·16; 95 % CI 1·11, 1·22, P<0·001).

CONCLUSIONS

Our findings provide evidence that greater adherence to a healthy/prudent dietary pattern is associated with a lower risk of MetS, while an unhealthy/Western dietary pattern is associated with increased risk of MetS. These data suggest that a diet based on healthy food choices is also beneficial for prevention of MetS.

Dietary factors influence the association of cyclin D2 polymorphism rs11063069 with the risk of metabolic syndrome

The relationship of CCND2 gene variation, rs11063069 with metabolic syndrome (MetS) modulates by dietary factors but enough data are not available on this issue. So, the hypothesis, which assumes that dietary factors modulate the relationship of CCND2 polymorphisms with the risk of MetS was investigated in our study. Subjects of this nested case-control study were selected from participants of the Tehran Lipid and Glucose Study. Each case (n=974) was pair-matched individually with a control by age, sex and the follow-up duration. Dietary patterns were determined using factor analysis. CCND2 rs11063069 was genotyped by the ARMS-polymerase chain reaction analysis. Two dietary patterns were extracted: the healthy dietary pattern (HDP) and the Western dietary pattern; among G allele carriers, being in the highest quartiles of HDP score decreased risk of MetS (OR, Q1:3.01 [1.95-6.15], Q4:0.88 [0.39-1.78], P trend=.001), compared with those in the lowest quartile. In addition, the consumption of some vegetables, red-yellow vegetable (tomatoes, squash and carrots) and fruits by G allele carriers could decrease the risk of high fasting plasma glucose (P interaction=.003), low HDL-C (P interaction=.03) and high blood pressure (P interaction=.01) respectively. No significant interaction was observed in this study between nutrients (macronutrients, zinc, magnesium and iron) and CCND2 rs11063069 in relation to MetS or its components in this study. Our findings showed that by promoting adherence to HDP and increasing intake of some vegetables and fruits, the risk of MetS or its components reduced in G allele carriers; these associations were not observed in the AA genotype group.

Nutrient-Derived Dietary Patterns and Their Association With Metabolic Syndrome in a Japanese Population

Background

Nutrients have been proposed to be related to metabolic syndrome (MetS). The aims of this study were to identify dietary patterns that correlated with several nutrients using reduced rank regression (RRR) and to examine the association between extracted dietary patterns and prevalence of MetS in a Japanese population.

Methods

The study population comprised 1,092 Japanese men and women (35–69 years old) who had participated in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study in Tokushima Prefecture. Dietary patterns were derived with RRR using 46 food items as predictors and six established nutrients (potassium, calcium, vitamin D, vitamin C, insoluble dietary fiber, and carotene) as response variables. Associations between extracted dietary patterns and MetS were then examined with logistic regression models.

Results

Among the six dietary patterns, dietary pattern 1 (DP1) explained the largest proportion (60.1%) of variance in the six nutrients. Therefore, only DP1 was selected for further analysis. DP1 was characterized by high intake frequency of vegetables, fruits, fish and small fish, natto (fermented soybeans), and deep-fried tofu. After adjustment for potential confounders, significant inverse associations were found between DP1 score and MetS (odds ratio [OR] for each quartile: 1.00, 0.58, 0.60, 0.52; P_trend = 0.02); DP1 and high blood pressure (P_trend = 0.0002); and DP1 and high blood glucose (P_trend = 0.02).

Conclusion

A dietary pattern characterized by high intake of vegetables, fruits, fish and small fish, natto, and deep-fried tofu was associated with reduced prevalence of MetS in a Japanese population.

Sociodemographic, anthropometric and behavioural risk factors for ultra-processed food consumption in a sample of 2–9-year-olds in Brazil

Objective

The present study aimed to identify food patterns among 2–9-year-olds and investigate sociodemographic, anthropometric and behavioural predictors of less healthy dietary patterns.

Design

Cross-sectional study. Parents of 2–9-year-olds completed an FFQ and factor analysis was applied to identify dietary patterns. Parents also completed questionnaires assessing sociodemographic, anthropometric and behavioural characteristics of parents and children, including parental feeding practices.

Setting

Participants were recruited from private schools of Campinas and São Paulo, SP, Brazil, between April and June 2014.

Subjects

Parents of 2–9-year-olds (n 929).

Results

Two dietary patterns emerged: ‘traditional food’ and ‘ultra-processed food’. Lower maternal education (OR=2·05, P=0·010) and higher maternal weight status (OR=1·43, P=0·044) were associated with a greater likelihood of the ultra-processed food pattern. Lower perceived parental responsibility for adequacy of food group intake (OR=2·41, P=0·020), and lower scores on the parental feeding practices of ‘Healthy Eating Guidance’ (OR=1·83, P<0·001) and ‘Monitoring’ (OR=2·52, P<0·001), were also associated with the presence of this pattern, as was higher child’s screen use during mealtimes (OR=1·61, P=0·004).

Conclusions

The present study is the first to evaluate associations between less healthy dietary patterns of Brazilian 2–9-year-olds and parental feeding practices. Our findings highlight sociodemographic, anthropometric and behavioural factors within families that could be used to target tailored policies to at-risk populations.

Dietary Patterns Exhibit Sex-Specific Associations with Adiposity and Metabolic Risk in a Cross-Sectional Study in Urban Mexican Adolescents

Background: Studies in Western nations have shown associations of certain dietary patterns with obesity and metabolic risk in youth. Little is known about these relations in newly industrialized countries where obesity prevalence is surpassing those of developed countries.Objective: We sought to characterize dietary patterns in a cross-sectional study in 224 adolescents aged 8-14 y in Mexico and to investigate associations of the dietary patterns with adiposity and metabolic risk.Methods: We used principal components analysis to derive dietary patterns from food-frequency questionnaire data. By using linear regression models that accounted for mother's marital status, education, and smoking habits and child's age and physical activity, we examined associations of the dietary patterns with adiposity [body mass index z score, waist circumference, the sum and ratio of the subscapular and triceps skinfold thicknesses, blood pressure, serum fasting glucose and a C-peptide-based measure of insulin resistance (CP-IR), lipid profile, and a metabolic syndrome risk z score (MetS z score)].Results: We identified a "prudent" dietary pattern characterized by high intakes of vegetables, fruit, fish, chicken, and legumes and a "transitioning" dietary pattern, which comprises processed meats, Mexican foods, and sweetened beverages. Each unit increase in the prudent pattern factor score corresponded with 0.33 ng/mL (95% CI: 0.09, 0.57 ng/mL) lower C-peptide, 0.08 units (95% CI: 0.02, 0.13 units) lower CP-IR, and a 0.14 unit (0.00, 0.27 unit) lower MetS z score in boys. In girls, the transitioning pattern corresponded with higher subscapular + triceps skinfold thickness (per 1-unit increase in the factor score: 2.46 mm; 95% CI: 0.10, 4.81 mm). These results did not change after accounting for pubertal status.Conclusions: A prudent dietary pattern was protective against metabolic risk in adolescent boys, whereas a transitioning dietary pattern corresponded with higher adiposity among adolescent girls. Given that adolescence is a key developmental period for long-term health, efforts to elucidate dietary determinants of metabolic risk during this life stage may have long-term benefits.

Dietary Patterns and Cardio-metabolic Risk in a Population of Guatemalan Young Adults

Background

Latin America is facing an increasing burden of nutrition-related non-communicable disease. Little is known about dietary patterns in Guatemalan adults and how dietary patterns are associated with cardio-metabolic disease (CMD) risk.

Methods

This analysis is based on data from a 2002–04 follow-up study of the INCAP Nutrition Supplementation Trial Longitudinal Cohort. Diet data were collected using a validated, semi-quantitative food frequency questionnaire. We derived dietary patterns using principal components analysis. CMD risk was assessed by anthropometry (body mass index, waist circumference), biochemistry (fasting blood glucose and lipids), and clinical (blood pressure) measures. We used sex-stratified multivariable log binomial models to test associations between dietary pattern tertile and CMD risk factors. The sample included 1428 participants (681 men and 747 women) ages 25–43 years.

Results

We derived three dietary patterns (traditional, meat-based modern, and starch-based modern), collectively explaining 24.2% of variance in the diet. Dietary patterns were not associated with most CMD risk factors; however, higher starch-based modern tertiles were associated with increased prevalence of low highdensity lipoprotein cholesterol (HDL-c) in men (Prevalence Ratio (PR) 1.17, 95% Confidence Interval (CI) 1.01, 1.20 for tertile 2; PR 1.20, 95% CI 1.00, 1.44 for tertile 3; p trend 0.04). Higher traditional tertiles were associated with increased prevalence of abdominal obesity in women (PR 1.24, 95% CI 1.07, 1.43 for tertile 2; PR 1.19, 95% CI 1.02, 1.39 for tertile 3; p trend 0.02) but marginally significant reduced prevalence of low HDL-c in men (PR 0.88, 95% CI 0.76, 1.00 for tertile 2; PR 0.85, 95% CI 0.72, 1.00 for tertile 3; p trend 0.05).

Conclusion

Our findings suggest the presence of two ‘modern' dietary patterns in Guatemala – one of which was associated with increased prevalence of low HDL-c in men. The association between the traditional dietary pattern and some CMD risk factors may vary by sex.

Electronic supplementary material

The online version of this article (doi:10.1186/s40795-017-0188-5) contains supplementary material, which is available to authorized users.

Dietary patterns and the risk of obesity, type 2 diabetes mellitus, cardiovascular diseases, asthma, and neurodegenerative diseases

Diet and lifestyle play a significant role in the development chronic diseases; however the full complexity of this relationship is not yet understood. Dietary pattern investigation, which reflects the complexity of dietary intake, has emerged as an alternative and complementary approach for examining the association between diet and chronic diseases. Literature on this association has largely focused on individual nutrients, with conflicting outcomes, but individuals consume a combination of foods from many groups that form dietary patterns. Our objective was to systematically review the current findings on the effects of dietary patterns on chronic diseases. In this review, we describe and discuss the relationships between dietary patterns, such as the Mediterranean, the Dietary Approach to Stop Hypertension, Prudent, Seventh-day Adventists, and Western, with risk of obesity, type-2 diabetes mellitus, cardiovascular diseases, asthma, and neurodegenearive diseases. Evidence is increasing from both observational and clinical studies that plant-based dietary patterns, which are rich in fruits, vegetables, and whole grains, are valuable in preventing various chronic diseases, whereas a diet high in red and processed meat, refined grains and added sugar seems to increase said risk. Dietary pattern analysis might be especially valuable to the development and evaluation of food-based dietary guidelines.

Feasibility and Acceptability of a Clinic-based Mediterranean-style Diet Intervention to Reduce Cardiovascular Risk for Hispanic Americans With Type 2 Diabetes

Purpose The purpose of the study was to modify a previously tested Spanish language version of a Mediterranean (Med)-style dietary intervention so that the dietary recommendations align with the cultural and social needs of Hispanic Americans (HAs) with type 2 diabetes (T2D) and evaluate the modified intervention's feasibility and acceptability. Methods In phase I (formative), semi-structured interviews and focus groups were used to refine the intervention content and format for delivery to HAs with T2D receiving care at a large primary care practice. In phase II (clinical pilot), the 2-month intervention that promoted a Med-style dietary pattern was given to all participants via 2 face-to-face counseling sessions and 2 telephone counseling sessions. Major outcomes were engagement with study activities and intervention acceptability; dietary behavior change at 2 months using the PREDIMED Med-diet score (range, 0-14, higher indicating better dietary pattern) is also reported. Results From clinic records, we identified 86 potentially eligible participants and enrolled 21. Baseline characteristics were: mean age = 52 years, 12 (57%) female, 15 (71%) from Mexico, mean years in the US = 19, low acculturation scores for all, and mean BMI = 33.7 kg/m2. Engagement and acceptability were high, with 19 (90%) completing all intervention visits and follow-up measures, all of whom would recommend the program to others. Mean Med-diet score improved from 5.7 to 7.9 (difference = 2.3; 95% CI, 1.0-3.5; P = .001). Conclusions Intervention engagement and acceptability were high, and there was improvement in self-reported dietary behaviors. This type of intervention should be evaluated in randomized trials enrolling HAs with diabetes.

Dietary Patterns Are Associated with Metabolic Outcomes among Adult Samoans in a Cross-Sectional Study

Background: The Samoan population has been undergoing a nutrition transition toward more imported and processed foods and a more sedentary lifestyle.Objectives: We aimed to identify dietary patterns in Samoa and to evaluate their associations with metabolic outcomes.Methods: The sample of this cross-sectional study includes 2774 Samoan adults recruited in 2010 (1104 with metabolic syndrome compared with 1670 without). Principal component analysis on food items from a 104-item food-frequency questionnaire was used to identify dietary patterns. Adjusted least squares means of each component of metabolic syndrome were estimated by quintiles of factor scores for each dietary pattern. Metabolic syndrome status was regressed on quintiles of scores by using log-binomial models to obtain prevalence ratios.Results: We identified a modern pattern, a mixed-traditional pattern, and a mixed-modern pattern. The modern pattern included a high intake of imported and processed foods, including pizza, cheeseburgers, margarine, sugary drinks, desserts, snacks, egg products, noodles, nuts, breads, and cakes and a low intake of traditional agricultural products and fish. The mixed-traditional pattern had a high intake of neotraditional foods, including fruits, vegetables, soup, poultry, and fish, and imported and processed foods, including dairy products, breads, and cakes. The mixed-modern pattern was loaded with imported and processed foods, including pizza, cheeseburgers, red meat, egg products, noodles, and grains, but also with neotraditional foods, such as seafood and coconut. It also included a low intake of fish, tea, coffee, soup, and traditional agricultural staples. Higher adherence to the mixed-modern pattern was associated with lower abdominal circumference (P-trend < 0.0001), lower serum triglycerides (P-trend = 0.03), and higher serum HDL cholesterol (P-trend = 0.0003). The mixed-modern pattern was inversely associated with prevalence of metabolic syndrome (the highest quintile: prevalence ratio = 0.79; 95% CI: 0.69, 0.91; P-trend = 0.006).Conclusion: Mixed dietary patterns containing healthier foods, rather than a largely imported and processed modern diet, may help prevent metabolic syndrome in Samoa.

High Vitamin D Consumption Is Inversely Associated with Cardiovascular Disease Risk in an Urban Mexican Population

Background

Vitamin D deficiency is a major global public health problem. Recent epidemiological studies have assessed the relationship between vitamin D and multiple outcomes, including cardiovascular disease. However, this evidence is limited and inconclusive. Our purpose in this study was to evaluate the association between dietary vitamin D intake and cardiovascular disease risk in adult Mexican population.

Methods

We conducted a cross-sectional analysis with the baseline data from 6294 men and women aged 20–80 years participating in the Health Workers Cohort Study. Data on sociodemographic, lifestyle, and medical history factors were collected with a self-administered questionnaire. Dietary intake was evaluated by using a semi-quantitative food-frequency questionnaire. Cardiovascular disease risk was calculated using a recalibration of the Framingham heart disease prediction score. To evaluate the association between vitamin D intake and 10-year cardiovascular disease risk, odds ratios (OR) and 95% confidence intervals (95% CI) were calculated using multiple logistic regression analysis.

Results

A total of 6294 subjects (1820 men and 4474 women) with a mean age of 42 years, were included. Of these, subjects in the highest quintile of vitamin D intake presented lower levels of triglycerides 14.6 mg/dL (P for trend = 0.001); 2.0 cm less in waist circumference (P for trend = 0.001) and 0.8 points less in the Framingham cardiovascular disease risk score (P for trend = 0.002) compared with the subjects in the lower quintile of vitamin D intake. Additionally, participants in the highest quintile of vitamin D consumption were less likely to develop elevated 10-year cardiovascular disease risk, compared with those in the lowest quintile (OR = 0.51; 95%CI: 0.33, 0.77; P for trend = 0.007).

Conclusion

Our data suggest that higher consumption of vitamin D is associated with a reduced risk of cardiovascular disease in Mexican population.

Mealtime habits and risk of developing the metabolic syndrome or insulin resistance among Mexican adults

Meals are an important source of food intake, contributing to body weight and health status. Previous studies have examined the relationship between isolated mealtime behaviours and the metabolic syndrome (MetS). The aim of this study was to examine the influence over time of ten interrelated mealtime habits on the risk of developing the MetS and insulin resistance (IR) among Mexican adults. We conducted a prospective cohort study with a sample of 956 health workers. The Mealtime Habits Quality (MHQ) scale is based on four mealtime situations (availability of time to eat, distractions while eating, environmental and social context of eating, and familiar or cultural eating habits), which were used to assess the participants' MHQ at the baseline (2004-2006) and follow-up (2010-2012) evaluations. The MetS was assessed using criteria from the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) and the International Diabetes Federation (IDF). IR was defined using the homoeostasis model assessment. Crude and adjusted relative risks were calculated to estimate the relationship between MHQ and the risk of developing the MetS or IR. Participants classified in the lower MHQ category had an 8·8 (95 % CI 3·1, 25) and 11·1 (95 % CI 3·4, 36·1) times greater risk of developing the MetS (using the NCEP-ATP III and IDF criteria, respectively), and an 11·2 times (95 % CI 3·9, 31·5) greater likelihood of developing IR, compared with those in the higher MHQ group. This prospective study reveals that individuals who engaged in more undesirable than recommended mealtime behaviours had a >10-fold risk of developing the MetS or IR.

Reference Values of Total Lean Mass, Appendicular Lean Mass, and Fat Mass Measured with Dual-Energy X-ray Absorptiometry in a Healthy Mexican Population

The aim of this study was to develop age- and gender-specific reference values of total lean body mass (LBM), appendicular lean body mass (ALBM), and fat mass (FM) by dual-energy X-ray absorptiometry (DXA) data in a healthy Mexican population. A cross-sectional analysis was conducted on 9518 healthy subjects 7-89 years of age participating in the baseline measurement of the Health Workers Cohort Study. Using DXA, LBM, ALBM, and FM were measured. Using these data, LBM index (LBMI), ALBM index (ALBMI), and fat mass index (FMI) were calculated. LMI, ALMI, and FMI were calculated as the LBM, ALBM, and FM kg divided by the height in meters squared. Males and females were analyzed separately; sex-specific means and standard deviations for LBM, ALBM, FM, LBMI, ALBMI, and FMI were calculated. A total of 2829 males and 6694 females were included in the final analysis. Strong sex gaps were observed after 12 years in LBM, ALBM, LBMI, and ALBMI (P < 0.01). LBM and ALBM values continue to increase for males up to age 20; females plateaued approximately after age 15. Significant sex differences were also observed for FM and FMI. Significant sex- and age-related differences exist in LBM, ALBM, and FM in the Mexican population. In addition, given the null data available in this area, these reference values may be useful in the evaluation of a variety of childhood and adult abnormalities involving lean body mass deficits, mainly in the assessment of muscle wasting, with important medical and epidemiological uses.

Dietary patterns are associated with bone mineral density in an urban Mexican adult population

Several types of nutrients and foods affect bone mineral density (BMD). However, these nutrients occur together in food groups and dietary patterns, and the overall effects of dietary patterns are not yet well known.

INTRODUCTION

We evaluated the associations between dietary patterns and BMD among adults participating in the Health Workers Cohort Study.

METHODS

In a cross-sectional analysis, we examined 6915 Mexican adults aged 20-80 years. All participants completed a validated self-administered food frequency questionnaire (FFQ) and had total, hip, and spine BMD measurements assessed by dual-energy X-ray absorptiometry (DXA). The FFQ included 116 foods, which were grouped into 22 categories and entered into a factor analysis to derive dietary patterns.

RESULTS

Three dietary patterns emerged-a Prudent, a Refined foods, and a Dairy and fish pattern. After adjustment for potential confounders, those in the highest quintile of the Prudent pattern had lower odds (OR) of low spine BMD (OR = 0.80; 95 % CI 0.68, 0.94; P for trend = 0.031) compared to those in the lowest quintile. In contrast, participants in the highest quintile of the Refined foods pattern had greater odds of low total BMD (OR = 1.74; 95 % CI 1.10, 2.76; P for trend = 0.016) than those in the lowest quintile. Finally, participants in the highest quintile of the Dairy and fish dietary pattern had significantly lower likelihood of having low BMD.

CONCLUSION

This study identified specific dietary patterns associated with BMD among a Mexican adult population and highlights the importance of promoting food-based prevention strategies for maintaining bone health.

Influence of mealtime habits on the risk of weight gain and obesity in Mexican adults

OBJECTIVE

To prospectively examine the extent to which mealtime habits influences the risk of weight gain and obesity in Mexican adults.

DESIGN

We performed a prospective cohort study. The Mealtime Habits Quality (MHQ) scale was used for assessing participants' MHQ; the outcomes of interest were gain ≥5 % of body weight, developing overweight/obesity and abdominal obesity, after 7 years of follow-up. In order to estimate the independent effect of MHQ on anthropometric indicators, generalized linear models were computed to obtain adjusted relative risks (95 % CI).

SETTING

The state of Morelos, Mexico.

SUBJECTS

Mexican adults (n 837) aged 18-70 years participating in a cohort study.

RESULTS

Compared with participants classified in the higher MHQ category, individuals in the middle and lower MHQ groups had a 4·1 (2·5, 6·7) and 6·2 (3·9, 9·7) fold greater risk of gain ≥5 % of body weight, respectively; 6·6 (2·8, 15·5) and 8·6 (3·7, 19·8) fold greater risk of becoming overweight/obese, respectively; and 3·8 (2·0, 7·3) and 5·3 (2·8, 9·8) fold greater risk of developing abdominal obesity, respectively.

CONCLUSIONS

This study provides evidence about the influence of a set of mealtime habits on obesity indicators, showing that greater adherence to unadvisable mealtime habits increases the risk of developing unhealthy anthropometric indicators. Since the meal is one of the most important sources of food intake, and consequently weight status, the MHQ scale can be a useful population tool to predict weight gain and obesity.

Metabolic syndrome and dietary patterns: a systematic review and meta-analysis of observational studies

PURPOSE

Lifestyle is linked to the risk of developing metabolic syndrome (MetS); however, its relationship with dietary patterns remains unclear. This systematic review and meta-analysis aims to analyse the association of a posteriori dietary patterns with the metabolic syndrome.

METHODS

The PubMed, CINAHL and Scopus databases were searched for epidemiological studies of dietary patterns and MetS. The association between dietary patterns and MetS was estimated using a random-effects meta-analysis with 95 % confidence intervals (CIs).

RESULTS

A total of 28 cross-sectional studies and three cohort studies were included in the meta-analysis. In a comparison of the highest to the lowest category of prudent/healthy dietary patterns, the pooled odds ratio (OR) for MetS was 0.83 (95 % CI 0.76, 0.90; P for heterogeneity =0.0; and I ² = 72.1 %) in cross-sectional studies, and the pooled relative risk (RR) for MetS in cohort studies was 0.91 (95 % CI 0.68, 1.21; P for heterogeneity =0.005; I ² = 81.1 %). The pooled OR for MetS in a comparison of the highest to the lowest category of Western dietary patterns was 1.28 (95 % CI 1.17, 1.40; P for heterogeneity =0.0; and I ² = 72.0 %) in cross-sectional studies, and the RR was 0.96 (95 % CI 0.53, 1.73; P for heterogeneity =0.102; I ² = 62.6 %) in cohort studies.

CONCLUSIONS

The results from cross-sectional studies showed that a prudent/healthy pattern is associated with a lower prevalence of MetS, whereas a Western/unhealthy is associated with an increased risk for MetS. Additional prospective studies are needed to confirm the association between dietary patterns and MetS.

Dietary patterns associated with body mass index (BMI) and lifestyle in Mexican adolescents

Background

The objetive in this study is to determine the relationship between dietary patterns, BMI, type 2 diabetes mellitus family history (T2DMFH) and some lifestyle variables such as smoking and skipping breakfast in a Mexican adolescent population.

Methods

Cross-sectional, observational, analytical study.Subjetcts: 14-16 years old male and female adolescents (n 373). A previously validated food frequency questionnaire (FFQ) was used and dietary patterns were derived using principal component analysis (PCA). Scores for dietary patterns were categorized by tertiles.

Results

Three major dietary patterns that explained 47 % of variance were found: westernized, high in protein/fat and prudent pattern. Subjects at the highest tertile of prudent pattern had lower BMI. And was also associated with less T2DMFH and less smoking habit when compared with the lowest tertile. We found a positive correlation between BMI and high scores for westernized and high in protein/fat pattern

Conclusions

Dietary patterns of adolescents are a public health concern because there is a direct association between inadequate diet at this early age and obesity

Association between Dietary Patterns and Cardiovascular Risk Factors among Middle-Aged and Elderly Adults in Taiwan: A Population-Based Study from 2003 to 2012

BACKGROUND

Cardiovascular disease (CVD) is one of the leading causes of mortality and loss of disability-adjusted life years in developed countries. This study derived a dietary pattern using an a priori method and additionally derived dietary patterns using a posteriori methods, and assessed the relationship with CVD risk factors in Taiwanese middle-aged and elderly adults.

METHODS

Cross-sectional analyses of 62,965 subjects aged 40 years and above from the Mei Jau (MJ) database collected between 2003 and 2012 in Taiwan. Diet was assessed using a 22 item semi-quantitative food frequency questionnaire. Using this information, three dietary patterns were generated. The a priori diet was labeled the Taiwanese dietary pattern and was derived using hypothesized effect of 22 food groups, while two a posteriori dietary patterns, "vegi-fruits" and "meat-processed", were derived using principal component analysis. The association between dietary patterns and a range of CVD risk factors (i.e. blood lipids, blood glucose and C-reactive protein) was evaluated using linear regression.

RESULTS

The results showed that high intake (Q5, quintile 5) of Taiwanese diet was negatively associated with CVD risk factors at (p < 0.001, model 3), but not with triacylglycerol. In addition, high intake of vegi-fruit dietary pattern (Q5) was negatively associated with CVD risk factors (p < 0.001), but not with high-density lipoprotein, while high consumption of meat-processed dietary pattern (Q5) was positively associated with CVD risk factors (p < 0.001), but negatively related with triacylglycerol in Q3 level and no association with C-reactive protein.

CONCLUSION

A negative association was observed between Taiwanese or vegi-fruit dietary patterns and CVD risk factors, while a positive association was found between meat-processed dietary pattern and CVD risk factors. The findings suggested that a diet rich in vegetables and fruits has a beneficial effect in the management of CVD risk factors.

Inadequacies in the habitual nutrient intakes of patients with metabolic syndrome: a cross-sectional study

BACKGROUND

Dietary factors are important environmental factors associated with the prevalence of metabolic syndrome (MS). The objective of this study was to assess the habitual nutrient intakes of patients with MS.

METHODS

A cross-sectional study included 103 patients (82 % women) with MS seen at the endocrinology outpatient clinic of Hospital Universitario Onofre Lopes. Habitual nutrient intake data were collected at two 24-h dietary recalls. Macronutrient intake adequacies were classified according to the I Brazilian guidelines for the diagnosis and treatment of metabolic syndrome. The prevalence of inadequate micronutrient intake was estimated using the estimated average requirements (EAR) cut-point method after adjusting for intra- and interpersonal variances and energy.

RESULTS

The mean energy intake of the included patients was 1523.0 ± 592.2 kcal/d, higher in men (1884.0 vs. 1441.5 kcal/d in women; p = 0.003). The recommended percentage protein intake was exceeded in both women and men (18 % in women and 19 % in men). Although men consumed more fiber (18.8 vs. 13.3 g/d in women; p = 0.011), their intake was still inadequate. Women consumed more fat (47.6 vs. 41.3 g/d in men; p = 0.007). The prevalence of inadequate vitamin D and calcium intakes exceeded 80 % in both men and women and across all age groups. The same was observed for magnesium in men and women aged more than 30 years. The prevalence of inadequate vitamin E, riboflavin, and zinc intakes in men ranged from 50 to 75 %. The prevalence of inadequate vitamin A, vitamin C, thiamin, vitamin B6, copper, and selenium intakes in men and women was less than 50 %.

CONCLUSIONS

Patients with MS had high protein intake, low fiber intake, and high a prevalence of inadequate vitamin D, magnesium, and calcium intakes.

Relationship between dietary patterns and risk factors for cardiovascular disease in patients with type 2 diabetes mellitus: a cross-sectional study

Background

While some dietary patterns are associated with the incidence of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD), the relationship between dietary pattern and risk factors for CVD in patients with T2DM remains to be clarified. The aim of this study was to identify dietary patterns and investigate the relationship between dietary patterns and potential risk factors for CVD in patients with T2DM.

Methods

The study participants comprised 726 Japanese T2DM outpatients free of history of CVD. Life styles were analyzed using self-reported questionnaires. The relationship between dietary patterns, identified by factor analysis, and potential risk factors for CVD was investigated by linear and logistic regression analyses.

Results

Six dietary patterns were identified by factor analysis. Especially, three dietary patterns were associated with risk factors for CVD. The “Seaweeds, Vegetables, Soy products and Mushrooms” pattern, characterized by high consumption of seaweeds, soy products and mushrooms, was associated with lower use of diabetes medication and healthier lifestyles. The “Noodle and Soup” pattern, characterized by high consumption of noodle and soup was associated with higher body mass index, alanine aminotransferase, aspartate aminotransferase, γ-glutamyl transpeptidase and triglyceride levels. The “Fruit, Dairy products and Sweets” pattern was associated with lower γ-glutamyl transpeptidase levels, blood pressure, albuminuria and brachial-ankle pulse wave velocity.

Conclusions

The findings suggested that dietary patterns correlated with risk factors for CVD in T2DM patients.

Dietary Patterns Are Associated with Predicted Cardiovascular Disease Risk in an Urban Mexican Adult Population

BACKGROUND

Dietary patterns may predict cardiovascular disease (CVD) risk more accurately than does consumption of specific nutrients or foods.

OBJECTIVE

We evaluated the association between Mexican adults' dietary patterns and development of a >10% risk of 10-y CVD (using the Framingham risk score) over 7 y of follow-up.

METHODS

This prospective cohort study included 1196 men and women aged 20-80 y with a 10-y predicted risk <10% and without a CVD diagnosis at baseline in 2004-2007. Data on sociodemographic, lifestyle, and medical history factors were collected with a self-administered questionnaire. Dietary intake was evaluated by using a semiquantitative food-frequency questionnaire. The relations between dietary patterns and predicted CVD were analyzed by using pooled logistic regression models.

RESULTS

With the use of factor analysis, we identified 3 major dietary patterns in participants' dietary data. The "prudent" pattern was characterized by high positive loadings for the consumption of fresh fruit, vegetables, and whole grains. The "meat/fish" pattern showed positive loadings for the consumption of red meat, processed meat, eggs, fats, fish, and poultry. Finally, the "refined foods" pattern featured positive loadings for corn tortillas, refined grains, soft drinks, and alcohol. After adjustment for potential confounders, compared with participants in the lowest quintile of the prudent pattern, those in the highest quintile had a lower RR of 10-y CVD (RR: 0.40; 95% CI: 0.20, 0.79; P-trend = 0.006). In contrast, participants in the highest quintile of the refined-foods pattern had a greater risk of elevated 10-y CVD (RR: 2.98; 95% CI: 1.46, 6.10; P-trend = 0.020) than did those in the lowest quintile. Finally, the meat/fish dietary pattern was not significantly associated with 10-y CVD.

CONCLUSION

Our data suggest that the prudent pattern is associated with a reduced risk of 10-y CVD, whereas the refined-foods pattern may increase 10-y CVD in Mexican adults.

Gender difference on the association between dietary patterns and metabolic syndrome in Korean population

PURPOSE

Dietary patterns are found to be associated with metabolic risk factors. We explored gender difference on the association between dietary patterns and the risk of metabolic syndrome (MetS) in the general Korean population.

METHOD

A total of 13,410 Korean adults (aged ≥19 years, 5384 men and 8026 women) who participated in the fifth KNHANES were studied. Dietary intake was assessed by the 24-h recall method. MetS was defined by the joint interim statement of the International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. Multivariable-adjusted logistic regression analysis was performed to identify the relationship between dietary pattern and MetS and its components by gender.

RESULTS

Three dietary patterns were derived using factor analysis by sex: traditional, Westernized, and healthy. The traditional pattern was positively associated with hypertriglyceridemia (P for trend = 0.0098), low high-density lipoprotein cholesterol (P for trend = 0.0007), elevated blood pressure (P for trend = 0.0328), and MetS (P for trend = 0.0003) in women only after adjusting for age, body mass index, socioeconomic status, and lifestyle factors. In contrast, the healthy pattern (HP) was negatively associated with abdominal obesity (P for trend = 0.0051) in women. For men, the HP was negatively associated with hypertriglyceridemia (P for trend = 0.0025) after adjustment for potential confounders. The Westernized pattern was not associated with MetS or its components in either men or women.

CONCLUSION

There may be gender differences on the relationship between dietary patterns and metabolic risk factors in Korean population.