Frequency of food use data and the multidimensionality of diet

Proposition of an Energy Intake Estimating Scale through Item Response Theory

BACKGROUND

Traditional methods for assessing individual energy consumption often involve lengthy and intricate procedures. This study aims to introduce an Energy Consumption Estimation Scale, utilizing Item Response Theory (IRT) for adolescents aged 18-19 years.

METHODS

This psychometric investigation applies IRT to 93 items extracted from a validated food frequency questionnaire. The study encompasses a representative sample of 2515 adolescents from the São Luís birth cohort in Brazil. The latent trait, energy intake, is derived using IRT and subsequently validated through hierarchical multiple linear regression modeling. Significance was established at p < 0.05.

RESULTS

A Samejima's model was successfully fitted (CFI and TLI > 0.9 and RMSEA < 0.08), effectively capturing variations across all energy consumption levels. Factors associated with the latent trait demonstrate consistent behavioral patterns. Adolescents with higher energy intake exhibited increased consumption of dairy products, artificially sweetened beverages, and seasonal fruits and vegetables.

CONCLUSIONS

The proposed Energy Consumption Estimation Scale demonstrates a reliable measurement of energy intake and serves as a practical and concise alternative for assessing energy consumption among adolescents. These findings suggest the potential for adapting similar models for different age groups and incorporating diverse food items based on the obtained results.

Psychosocial stress accompanied by an unhealthy eating behavior is associated with abdominal obesity in Korean adults: A community-based prospective cohort study

Psychosocial stress is recognized as a potential modulator of eating behavior. Psychosocial stress also constitutes an independent risk factor for the development of non-communicable diseases. This study examined the gender-stratified associations between perceived stress, eating behavior, and abdominal obesity in 4,411 adults aged 40-69 years during a 10-year follow-up of the Korean Genome and Epidemiology Study (KoGES). Psychosocial stress was evaluated using the Psychosocial Wellbeing Index Short Form (PWI-SF), and eating behavior was analyzed with a focus on the dietary variety score (DVS). The Cox's proportional hazard model was used to examine the risk of abdominal obesity according to stress levels. Higher stress levels were associated with lower DVS in women. Lower DVS scores were positively associated with the consumption of grains and refined grains but was negatively associated with the consumption of fruits. The DVS was not significantly associated with stress levels among men. Prospectively, the highest tertile of grains and refined grains consumption showed an increased risk of abdominal obesity compared to the lowest tertile in women (HR: 1.36, 95% CI: 1.04-1.78, p < 0.05; HR: 1.28, 95% CI: 1.03-1.59, p < 0.05, respectively). By contrast, in all participants, the highest tertile of fruits consumption decreased the risk of abdominal obesity compared to the lowest tertile (men, HR: 0.56, 95% CI: 0.45-0.70, p < 0.01; women, HR: 0.51, 95% CI: 0.40-0.65, p < 0.01). Furthermore, high stress levels showed a borderline significant association with the risk of abdominal obesity only in women (HR: 1.27, 95% CI: 1.00-1.59, p < 0.05). These findings suggested that psychosocial stress might contribute to abdominal obesity by interacting with eating behavior represented by a low DVS. The approach to consume a diet with a high DVS might help decrease the risk of abdominal obesity among people in stressful environments.

Dietary variety relates to gut microbiota diversity and abundance in humans

PURPOSE

We aim to investigate the relationship between gut microbiota and dietary variety in a Chinese population using Dietary Variety Score (DVS), an index of dietary variety, as little has studied the relationship of dietary variety and gut microbiota in a general population.

METHODS

In this cross-sectional study, recruited participants were conducted with face-to-face interview to collect information on 24-h food intake and dietary consumption using a valid food frequency questionnaire. Subjects (n = 128) were divided as high and low DVS groups by the median of DVS after rigorously matching for confounding factors. The gut microbiota was assessed by 16S rRNA sequencing and the correlations between key phylotypes and DVS, Index of Nutritional Quality (INQ) and clinical indices were examined using generalized linear model in negative binomial regression.

RESULTS

Higher score of DVS, INQVB6, INQVE and INQZn exhibited higher α-diversity. DVS was correlated with INQ and six genera. Among the DVS-correlated genera, Turicibacter, Alistipes and Barnesiella were positively correlated with INQVE, INQZn and INQCu, individually or in combination, while Cetobacterium was negatively correlated with INQCu, INQZn and INQVE. The abundance of Coprococcus and Barnesiella increased with the elevated cumulative scores of INQVE, INQVB6 and INQZn. The combination of Alistipes, Roseburia and Barnesiella could moderately predict dietary variety status.

CONCLUSION

Higher DVS was correlated with higher microbial diversity and more abundance of some potentially beneficial bacteria but with less some potentially pathogenic bacteria. A high variety dietary, therefore, should be recommended in our daily life.

Association between Psychosocial Stress and Cardiovascular Disease in Relation to Low Consumption of Fruit and Vegetables in Middle-Aged Men

Stress has been reported to affect dietary intake and chronic disease. This study aimed to investigate the association between psychosocial stress and cardiovascular disease (CVD) in relation to dietary intake. This cross-sectional analysis was performed on 23,792 men enrolled in the Korean Genome and Epidemiology Study from 2004 to 2013. Stress was assessed by the Psychosocial Well-Being Index. Stress level was positively associated with the risks of CVD (odds ratio (OR) for quartile 4 compared to quartile 1 = 1.30 (95% confidence interval 1.24–1.37), p-trend < 0.0001), including hypertension (OR = 1.26 (1.20–1.33), p-trend < 0.0001), heart disease (OR = 1.55 (1.34–1.80), p-trend = 0.0001), and cerebrovascular disease (OR = 2.47 (1.97–3.09), p-trend < 0.0001). As the level of stress increased, the intake of fruits and vegetables, as well as antioxidant nutrients, was decreased. Stress level showed an inverse association with dietary variety score (p-trend = 0.0001). In addition, dietary variety score was inversely associated with fruits and vegetables consumption (p-trend < 0.0001). These results suggest that the CVD risks for those with higher stress levels may be partially related to the decreased consumption of fruits and vegetables and dietary variety score.

Maternal depression, stress and feeding styles: towards a framework for theory and research in child obesity

Against the background of rising rates of obesity in children and adults in the USA, and modest effect sizes for obesity interventions, the aim of the present narrative review paper is to extend the UNICEF care model to focus on childhood obesity and its associated risks with an emphasis on the emotional climate of the parent-child relationship within the family. Specifically, we extended the UNICEF model by applying the systems approach to childhood obesity and by combining previously unintegrated sets of literature across multiple disciplines including developmental psychology, clinical psychology and nutrition. Specifically, we modified the extended care model by explicitly integrating new linkages (i.e. parental feeding styles, stress, depression and mother's own eating behaviour) that have been found to be associated with the development of children's eating behaviours and risk of childhood obesity. These new linkages are based on studies that were not incorporated into the original UNICEF model, but suggest important implications for childhood obesity. In all, this narrative review offers important advancements to the scientific understanding of familial influences on children's eating behaviours and childhood obesity.

Dietary patterns are associated with disease risk among participants in the Women's Health Initiative Observational Study

Coronary heart disease (CHD) is the leading cause of death in women. A nested case-control study tested whether dietary patterns predicted CHD events among 1224 participants in the Women's Health Initiative-Observational Study (WHI-OS) with centrally confirmed CHD, fatal or nonfatal myocardial infarct compared to 1224 WHI-OS controls matched for age, enrollment date, race/ethnicity, and absence of CHD at baseline or follow-up. The first six principal components explained >75% of variation in dietary intakes and K-mean analysis based on these six components produced three clusters. Diet cluster 1 was rich in carbohydrate, vegetable protein, fiber, dietary vitamin K, folate, carotenoids, α-linolenic acid [18:3(n-3)], linoleic acid [18:2(n-6)], and supplemental calcium and vitamin D. Diet cluster 2 was rich in total and animal protein, arachidonic acid [20:4(n-6)], DHA [22:6(n-3)], vitamin D, and calcium. Diet cluster 3 was rich in energy, total fat, and trans fatty acids (all P < 0.01). Conditional logistic regression analysis demonstrated diet cluster 1 was associated with lower CHD risk than diet cluster 2 (reference group) adjusted for smoking, education, and physical activity [OR = 0.79 (95% CI = 0.64, 0.99); P = 0.038]. This difference was not significant after adjustment for BMI and systolic blood pressure. Diet cluster 3 was associated with higher CHD risk than diet cluster 2 [OR = 1.28 (95% CI = 1.04, 1.57); P = 0.019], but this difference did not remain significant after adjustment for smoking, education, and physical activity. Within this WHI-OS cohort, distinct dietary patterns may be associated with subsequent CHD outcomes.

Dietary patterns and risk of ovarian cancer in the California Teachers Study cohort

Previous studies have examined the association between individual foods or nutrients, but not overall diet, and ovarian cancer risk. To account for the clustering of foods in the diet, we investigated the association between dietary patterns and risk of ovarian cancer in the prospective California Teachers Study cohort. Of 97,292 eligible women who completed the baseline dietary assessment in 1995-1996, 311 women developed epithelial ovarian cancer on or before December 31, 2004. Based on principal components analysis, 5 major dietary patterns were identified and termed plant-based, high-protein/high-fat, high-carbohydrate, ethnic, and salad-and-wine. Multivariable Cox proportional hazards regression analysis was used to estimate associations between these dietary patterns and risk of incident ovarian cancer. Most of the dietary patterns were not significantly associated with ovarian cancer risk. However, women who followed a plant-based diet had higher risk; comparing those in the top quintile of plant-based food intake with those in the lowest quintile, the relative risk of ovarian cancer was 1.65 (95% confidence interval = 1.07-2.54; P(trend) = 0.03). Associations with the 5 dietary patterns did not vary by known ovarian cancer risk factors or other behavioral or sociodemographic characteristics. Overall, our results show no convincing associations between dietary patterns and ovarian cancer risk.

Common and country-specific dietary patterns in four European cohort studies

The association between diet and cancer, predominantly investigated univariately, has often been inconsistent, possibly because of the large number of candidate risk factors and their high intercorrelations. Analysis of dietary patterns is expected to give more insight than analysis of single nutrients or foods. This study aimed to develop and apply a common methodological approach to determine dietary patterns in four cohort studies originating in Finland, the Netherlands, Sweden and Italy. Food items on each of the food frequency questionnaires were aggregated into 51 food groups, defined on the basis of their position in the diet pattern and possible relevance to cancer etiology. Exploratory factor analysis was used to analyze dietary patterns. Using a standardized approach, 3-5 stable dietary patterns were identified, explaining 20-29% of total variance in consumption of the food groups. Two dietary patterns, which explained most of the variance, were consistent across the studies. The first pattern was characterized by high consumption of (salad) vegetables, the second by high consumption of pork, processed meat and potatoes. In addition, a few specifically national food patterns were identified. Sensitivity analyses showed that the identified patterns were robust for number of factors extracted, distribution of input variables and energy adjustment. Our findings suggest that some important eating patterns are shared by the four populations under study, whereas other eating patterns are population specific.

Eating patterns, dietary quality and obesity

Obesity among children has reached epidemic proportions. Today, an estimated one in four children in the United States is overweight. while 11% arc obese. Children who are overweight tend to remain so up to 20 years of age; in general, they have a 1.5- to twofold higher risk for becoming overweight as adults. The prevalence of overweight has increased approximately twofold in the 20-year period from 1974 to 1994, with the largest increases observed among 19- to 24-year-olds. The annual increases in weight and obesity that occurred from 1983 to 1994 were 50% higher than those from 1973 to 1982. Overweight youth are 2.4 times as likely to have a high serum total cholesterol level, and 43.5 times as likely to have three cardiovascular risk factors. Although the total energy intake of children has remained the same, and the macronutrient density of the diet has changed, the percentage of energy from fat has decreased, while that from carbohydrates and protein has increased. Children have been consuming lower amounts of fats/oils, vegetables/soups, breads/grains, mixed meats, desserts, candy, and eggs. and increasing amounts of fruits/fruit juices, beverages. poultry, snacks, condiments, and cheese. Changes in specific eating patterns may explain the increase in adiposity among children; e.g., increases have occurred in the number of meals eaten at restaurants, food availability, portion sizes, snacking and meal-skipping. Successful prevention and treatment of obesity in childhood could reduce the adult incidence of cardiovascular disease. Because substantial weight loss is difficult to maintain, the prevention of obesity by promoting healthier lifestyles should be one of our highest priorities in the new millennium.

Analysis of patterns of food intake in nutritional epidemiology: food classification in principal components analysis and the subsequent impact on estimates for endometrial cancer

OBJECTIVE

To assess the effect of different methods of classifying food use on principal components analysis (PCA)-derived dietary patterns, and the subsequent impact on estimation of cancer risk associated with the different patterns.

METHODS

Dietary data were obtained from 232 endometrial cancer cases and 639 controls (Western New York Diet Study) using a 190-item semi-quantitative food-frequency questionnaire. Dietary patterns were generated using PCA and three methods of classifying food use: 168 single foods and beverages; 56 detailed food groups, foods and beverages; and 36 less-detailed groups and single food items.

RESULTS

Classification method affected neither the number nor character of the patterns identified. However, total variance explained in food use increased as the detail included in the PCA decreased (approximately 8%, 168 items to approximately 17%, 36 items). Conversely, reduced detail in PCA tended to attenuate the odds ratio (OR) associated with the healthy patterns (OR 0.55, 95% confidence interval (CI) 0.35-0.84 and OR 0.77, 95% CI 0.49-1.20, 168 and 36 items, respectively) but not the high-fat patterns (OR 0.95, 95% CI 0.57-1.58 and OR 0.85, 0.51-1.40, 168 and 36 items, respectively).

CONCLUSIONS

Greater detail in food-use information may be desirable in determination of dietary patterns for more precise estimates of disease risk.

Is principal components analysis necessary to characterise dietary behaviour in studies of diet and disease?

OBJECTIVE

To assess the relative ability of principal components analysis (PCA)-derived dietary patterns to correctly identify cases and controls compared with other methods of characterising food intake.

SUBJECTS

Participants in this study were 232 endometrial cancer cases and 639 controls from the Western New York Diet Study, 1986-1991, frequency-matched to cases on age and county of residence.

DESIGN

Usual intake in the year preceding interview of 190 foods and beverages was collected during a personal interview using a detailed food-frequency questionnaire. Principal components analysis identified two major dietary patterns which we labelled 'healthy' and 'high fat'. Classification on disease status was assessed with separate discriminant analyses (DAs) for four different characterisation schemes: stepwise DA of 168 food items to identify the subset of foods that best discriminated between cases and controls; foods associated with each PCA-derived dietary pattern; fruits and vegetables (47 items); and stepwise DA of USDA-defined food groups (fresh fruit, canned/frozen fruit, raw vegetables, cooked vegetables, red meat, poultry, fish and seafood, processed meats, snacks and sweets, grain products, dairy, and fats).

RESULTS

In general, classification of disease status was somewhat better among cases (54.7% to 67.7%) than controls (54.0% to 63.1%). Correct classification was highest for fruits and vegetables (67.7% and 62.9%, respectively) but comparable to that of the other schemes (49.5% to 66.8%).

CONCLUSIONS

Our results suggest that the use of principal components analysis to characterise dietary behaviour may not provide substantial advantages over more commonly used, less sophisticated methods of characterising diet.

Dietary correlates of fat intake

Dietary fat intake has been associated with the development of chronic diseases, including heart disease and cancer, in human populations; however, associations demonstrated between disease and fat intake may be confounded by related dietary factors. Therefore, description of the correlates of fat intake in free-living adults may help identify important confounders independent of disease status. In a population of 863 women and 538 men between the ages of 50 and 85 randomly selected from two counties in western New York, we found that most nutrients were correlated with grams of total fat intake including protein, carbohydrates, cholesterol, dietary fiber, retinol, iron, and calcium. Carbohydrates and dietary fiber were not related to the concentration of fat in the diet (% of energy from fat). Alcohol intake was negatively associated with fat concentration for men but not for women. Particularly important for the study of cancers, the antioxidants carotene and ascorbic acid were negatively associated with fat concentration in the diet.

Dietary patterns and colon cancer in western New York

Seven dietary patterns were identified among control subjects in the Western New York Diet Study (1975-1986) by application of principal components analysis to data from a 95-item food frequency interview. The results of case-control analyses of colon cancer risk for these patterns are presented. Cases were matched with neighborhood controls on the bases of age and sex; 205 colon case-control male and 223 female pairs were obtained. The dietary patterns and intakes of energy, total fat, and dietary fiber were examined with logistic regression for their individual contributions to risk. In males, three of these dietary patterns were associated positively with fat and energy consumption; they elevated risk for colon cancer and accounted for more risk than did the specific nutrients. Control for energy and fat intakes allowed the protective influences of additional dietary patterns to be expressed. No patterns elevated risk in women; two patterns were protective for colon cancer. Controlling for energy and fat intake enhanced the protection afforded by one of these patterns but had no influence on that of the other. Measures of foods rather than single nutrients may be more inclusive of dietary exposures to risk as well as being related more directly to underlying health behaviors. Therefore they may be better able to account for risk in diseases with multiple causation.

High-risk health behaviors associated with various dietary patterns

We have previously identified dietary patterns among 1,475 male and 780 female normal healthy control subjects in a case-control study of cancer at various sites. In this paper we examine the presence, among persons exhibiting these dietary patterns, of individual health behaviors that may contribute to risks for cancer. Specifically we examine trimming of separable fat from meats, fats used in cooking and as additions to foods, alcohol consumption, and smoking. Results indicate that men and women differ in possession of these high-risk behaviors. Women are more likely to trim fat from meat, consume less alcohol, and have lower exposures to smoking. Their dietary patterns are more independent of the fats used. Several eating patterns are positively associated with total fat intake but differ in their associations with high-risk behaviors. These data suggest that assessing risk associated with dietary patterns sheds more light on disease relationships than studies of single nutrients.

Patterns in food use and compliance with NCI dietary guidelines

We developed multidimensional measures of diet by identifying seven gender-specific patterns among 1,475 male and 780 female subjects selected as neighborhood controls in a case-control study of cancer at various sites. The purpose of this study was to examine these patterns for compliance with the National Cancer Institute (NCI) Dietary Guidelines. Diets were scored and each subject assigned tertile ranks for each pattern. Mean values for indicators of compliance were compared across tertiles for each pattern. No one pattern signified compliance with all guidelines. High-fat patterns in both genders and the low-cost pattern in women were the best indicators of poor compliance with NCI guidelines.