Dietary patterns of French adults: associations with demographic, socio-economic and behavioural factors

Characterizing the risk related to the exposure to methylmercury over a lifetime: A global approach using population internal exposure

Seafood products accumulate methylmercury throughout the food chain and are the main source of methylmercury exposure. Methylmercury may trigger a number of adverse health effects, such as neurodevelopmental or nephrotoxic effects, the risk of which cannot be ruled out for the French high consumers of seafood. The characterisation of methylmercury-related risks is generally based on short-term dietary exposure without considering changes in consumption and exposure over the lifetime. Additionally, focusing on short-term dietary exposure, the fate of methylmercury (especially its accumulation) in the organism is not considered. The present study proposes a methodology basing risk characterization on estimates of body burden over a lifetime. First, trajectories of dietary exposures throughout lifetime were constructed based on the actual concentrations of total diet studies for a fictive representative French population, taking into account the social, economic and demographic parameters of individuals. Next, the fate of methylmercury in the body was estimated, based on these trajectories, using a specific physiologically-based kinetic (PBK) model that generated a representative pool of body burden trajectories. Simulated hair mercury concentrations were closed to previously reported French representative human biomonitoring data. Results showed that at certain stages of life, concentrations of methylmercury in hair were higher than the human biomonitoring guidance value set at 2.5 μg/g of hair by JECFA. This study showed the added value, in the case of substances accumulating in the body, of estimating dietary exposure over a lifetime and using exposure biomarkers estimated by a PBK model characterize the risk.

Advancing nutrition risk assessment in middle-aged and older individuals with diverse food cultures: A data-driven personalized approach to predict incident hypertension, diabetes and mortality

BACKGROUND

Personalized nutrition risk assessment is crucial in addressing the association between healthy dietary habits across the life course and the development of disease, functional capacity, and healthy aging, as specific dietary pattern recommendations may not be suitable for diverse food cultures.

OBJECTIVE

To develop a data-driven, personalized nutrition risk assessment algorithm linked to incident hypertension, diabetes, and all-cause mortality utilizing the food frequency questionnaire among middle-aged and older individuals.

METHODS

A retrospective, population-based cohort study conducted between 1999 and 2015 utilized the nationally representative Taiwan Longitudinal Study on Aging (TLSA) survey to examine personalized dietary risk clusters and their associations with health outcomes. Latent class analysis was performed to derive the dietary diversity clusters among community-dwelling middle-aged and older individuals. Outcomes were defined as new-onset hypertension, diabetes mellitus and all-cause mortality at 4-, 8-, 12- and 16-year follow-ups.

RESULTS

Data from 1,811 participants (58.14% males, 43.90% aged 50-64 years) showed that around one-third of participants reported being illiterate, 21.98% widowed, and 51.46% engaging in regular physical exercise. Four dietary diversity clusters were identified: "least diverse", "fish and meat", "dairy, fruit, and vegetable", and "most diverse". The "most diverse" cluster was characterized by a high consumption of protein-rich foods, while the "dairy, fruit, and vegetable" cluster had the highest consumption of dairy products and beans/legumes. The "least diverse" cluster had the lowest intake of protein-rich foods, and dark-colored vegetables and fruits. The "most diverse" cluster had a significantly lower risk of hypertension development at the 4-year (aOR 0.58; p < 0.02) and 8-year (aOR 0.57; p < 0.01) follow-up and diabetes at the 4-year (aOR 0.44; p < 0.03) follow-up. Participants in the "most diverse" clusters exhibited lower risks of 8-year, 12-year, and 16-year mortality than those in the "least diverse" cluster (aOR 0.67, p < 0.05; 0.67, p < 0.03; and 0.50, p < 0.01, respectively).

CONCLUSION

The personalized nutrition risk assessment algorithm from the food frequency questionnaire can effectively stratify personal health risks among diverse middle-aged and older individuals, making it a valuable tool in lifestyle modification and intervention studies.

Association of socioeconomic status with metabolic syndrome and its components among adult population: a community-based cross-sectional study in Nanjing Municipality of China

OBJECTIVES

To investigate the association of metabolic syndrome (MetS) and its components with socioeconomic status (SES) among general and gender-specific adult population in Nanjing municipality, China.

DESIGN

Cross-sectional study.

PARTICIPANTS

13287 participants completed the survey. A participant: (1) must be a local registered resident, (2) aged 18+ years, (3) had no literal or physical/mental problems and (4) was not pregnant.

STUDY MEASURES

MetS was the outcome variable, which was defined based on the diagnostic criteria released by the Chinese Diabetes Society. SES was the main explanatory measure, which was indicated with educational attainment and family average income (FAI), separately.

RESULTS

The prevalence of MetS was 19.7% (95% CI=19.0% to 20.4%) among overall participants, and 24.6% (95% CI=23.5% to 25.6%) and 15.5% (95% CI=14.7% to 16.4%) for men and women, respectively. After controlling for potential confounders, participants with either college level (OR=0.51, 95% CI=0.43 to 0.60) or high school level education (OR=0.78, 95% CI=0.70 to 0.90) were at lower odds to experience MetS compared with those with primary education, while only those within upper FAI tertile were at significantly lower risk of MetS relative to their counterparts within lower FAI category (OR=0.85, 95% CI=0.76 to 0.97) among overall participants. Meanwhile, with respect to the five components of MetS, higher educational level predicted lower waist circumference (WC), triglycerides, systolic blood pressure (SBP) and diastolic blood pressure (DBP) and fasting glucose concentration among all participants. And higher FAI was associated with lower WC and SBP and DBP in women, and with lower SBP and DBP in men.

CONCLUSIONS

Education and FAI each were inversely associated with MetS and its components at the present stage of economic development in Nanjing Municipality of China. It has important public health implications that the tailored prevention strategies for MetS should be put into consideration of the intervention of MetS components and subgroups of people with different SES.

Meat or meatless meals at lunch and dinner – exploring the associated factors and transition between meals

This study aimed to explore the factors associated with the consumption of meat vs. meatless meals and to assess the applicability of a multi-state model to describe transitions between lunch and dinner. Fifteen thousand four hundred and eight main meals (lunch and dinner) from a sample of adults (18-84 years, n = 3852) from the Portuguese Food, Nutrition and Physical Activity Survey (IAN-AF 2015-2016) were categorised as meat, fish, ovolactovegetarian or snack. Adjusted generalised-mixed-effects models were used to explore the associations and a time-homogeneous Markov-multi-state model was applied to study the transitions. Women, older and higher educated individuals presented higher odds of consuming meatless meals and lower hazard of transitioning to meat in the following main meal. Strategies for replacing meat with more sustainable foods should be specific towards different population groups. Studying transitions across main meals, using multi-state models, can support the development of feasible, realistic and group-specific strategies to replace meat and promote dietary variety.

A Review on Dietary Patterns and Double Burden of Malnutrition: Knowledge Gaps for Future Research

Nutrition transition is characterized by shifts in dietary patterns (DPs) and is one of the factors associated with the double burden of malnutrition (DBM). Evidence indicates correlations between DPs and obesity, diabetes, and cardiovascular diseases. However, little is known on how DP influences DBM. This mini-review examined DP-DBM relationship among adults along with different DP approaches and DBM definitions. A structured search of peer-reviewed articles was performed from Web of Science. Keywords related to "dietary patterns," "double burden of malnutrition," and "adults" were used. A total of 133 studies were included. Results showed that factor analysis was the predominant DP analysis method. DBM was frequently assessed at the national level and defined as the coexistence of overweight/obesity and underweight. From the 133 studies, only four articles investigated DP-DBM association and suggested that healthier DPs positively improved DBM. Significant knowledge gaps remain, including (1) application of a combination of DP approaches, (2) evaluation of individual-level and household-level DBM, and (3) inconsistency of micronutrient deficiencies and non-communicable disease indicators in DBM definition. This review revealed paucity of studies on the nexus of DPs and DBM. Future research is imperative to establish evidence on the link between food patterns and multiple burdens of malnutrition.

Paternal Diet before Conception and Its Social Determinants in the Elfe Cohort

This study aimed to characterize paternal diet during the peri-conception period and its associated characteristics. These cross-sectional analyses were based on 998 fathers from the French nationwide ELFE birth cohort recruited in 2011. Fathers’ diet before mothers’ pregnancies was assessed by a 46-item food frequency questionnaire. Six exploratory dietary patterns were identified by principal component analysis: “Diverse diet”, “Balanced”, “Alcohol”, “Snacking”, “Bread and cheese”, and “Processed products”. Older age was related to higher scores for the “Balanced”, “Alcohol”, and “Snacking” patterns, and high education level with high scores on the “Balanced” pattern and low scores on the “Processed products” pattern. Unemployment and having a first child were related to high scores on the “Alcohol” pattern. Smoking was positively related to “Alcohol” and “Processed products” patterns. A restrictive diet was associated with high scores on the “Balanced” and “Processed products” patterns and low scores on “Alcohol”, “Snacking”, and “Bread and cheese” patterns. Maternal dietary patterns, identified in a previous analysis, were moderately and positively related to the similar patterns among fathers. These findings are important for screening fathers at risk of a suboptimal diet and for accounting for this factor in future studies to examine the specific influence of paternal diet on a child’s health and development.

Sex Differences in Dietary Patterns of Adults and Their Associations with the Double Burden of Malnutrition: A Population-Based National Survey in the Philippines

A dietary pattern transition is a risk factor for the double burden of malnutrition (DBM), but related information is limited. This study aimed to identify sex differences in dietary patterns of adults in a low–middle income country and to examine their association with DBM. A total of 8957 adults (4465 men and 4492 non-pregnant and non-lactating women) who participated in the 2013 Philippine National Nutrition Survey were included in the analysis. Logistic regression models were formulated to investigate the relationship between dietary patterns and DBM. The factor analysis derived seven dietary patterns for males and six patterns for females. Results showed that approximately 30% of Filipino adults suffered from DBM. The rice pattern was associated with lower odds of DBM for males only. The meat and sugar pattern in males and the protein-rich foods, cereal, and sugar pattern in females decreased DBM likelihood. An inverse relationship was observed for the vegetables and corn patterns, wherein females had an increased risk for DBM. Our findings suggest that rice-based and meat-containing patterns could play protective roles in DBM development among adults in the Philippines. Understanding sex-specific dietary patterns can be utilized to guide public health nutrition interventions in the prevention of malnutrition in all its forms.

Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis

Individual factors relating to dietary behaviors are widely explored. However, the effects of social environment on dietary patterns for the older people are less explored. The purpose of this study was to identify dietary patterns among older people in Taiwan and to examine the relationship of dietary patterns with social environment and individual factors. The current study used the 2013–2016 Nutrition and Health Survey in Taiwan. The sample was representative at the national and city levels. Only those who were aged 55 years old and above were included for analysis (n = 2922); the mean age of the participants was 68.62 (SD = 8.76). The city-level data, including population characteristics, food availability, and age-friendly city indicators, were obtained from the open data and survey report of government. Three dietary patterns were identified: high protein-vegetable (41.6%), high sweets and low protein-vegetables (37.9%), and high viscera and fats (20.5%). The results of multilevel multinomial logistic regressions showed that marital status, economic status, education, drinking alcohol, dietary belief, living a the city with more food availability, and bus accessibility were related to dietary patterns. Dietary patterns are related to the individual-level factors and social environment. Healthy dietary beliefs and age-friendly environments are beneficial to promoting healthy dietary patterns.

An Ultra-Processed Food Dietary Pattern Is Associated with Lower Diet Quality in Portuguese Adults and the Elderly: The UPPER Project

This study aimed to identify dietary patterns (DPs) and their associations with sociodemographic factors and diet quality in Portuguese adults and the elderly. Cross-sectional data were obtained from the National Food, Nutrition and Physical Activity Survey (2015-2016), with two non-consecutive dietary 24 h recalls. Food items were classified according to the NOVA system and its proportion (in grams) in the total daily diet was considered to identify DPs by latent class analysis, using age and sex as concomitant variables. Multinomial logistic and linear regressions were performed to test associations of DPs with sociodemographic characteristics and diet quality, respectively. Three DPs were identified: "Traditional" (higher vegetables, fish, olive oil, breads, beer and wine intake), "Unhealthy" (higher pasta, sugar-sweetened beverages, confectionery and sausages intake) and "Diet concerns" (lower intake of cereals, red meat, sugar-sweetened and alcoholic beverages). "Unhealthy" was associated with being younger and lower intake of dietary fiber and vitamins and the highest free sugars and ultra-processed foods (UPF). "Diet concerns" was associated with being female and a more favorable nutrient profile, but both DPs presented a higher contribution of UPF than the "Traditional" DP. These findings should be considered for the design of food-based interventions and public policies for these age groups in Portugal.

Dietary patterns among adolescents and associated factors: longitudinal study on sedentary behavior, physical activity, diet and adolescent health

The aim of the present study was to identify dietary patterns and associations with socioeconomic characteristics, lifestyle, nutritional status, lipid profile and inflammatory profile in adolescents. A cross-sectional study was conducted with a probabilistic sample using baseline data (2014) from the Longitudinal Study on Sedentary Behavior, Physical Activity, Eating Habits and Adolescent Health. A total of 1,438 adolescents (10 to 14 years old) from public schools in the city of João Pessoa, Brazil, participated in the study. Data were collected on socioeconomic characteristics, nutritional status, lifestyle and the results of biochemical tests. Dietary data were obtained using the 24-hour recall method and dietary patterns were identified by exploratory factor analysis. Associations of interest were estimated using multiple logistic regression. Three dietary patterns were found: "Traditional", "Snacks" and "Western". These patterns were associated with age, socioeconomic status, parental education and lifestyle. The "Traditional" pattern was associated lower adiposity and a better lipid profile. However, with the increase in age, greater frequencies of the "Snacks" and "Western" patterns were found. The present findings underscore the need for strategies that encourage healthy behaviors.

Food consumption patterns, overweight and cardiovascular risk: a cross-sectional analysis of the Pró-Saúde Study, Brazil, 2013

OBJECTIVE

To identify food consumption patterns and association between overweight and risk of cardiovascular disease.

METHODS

This was a cross-sectional study with staff of the Universidade do Estado do Rio de Janeiro, Brazil, who took part in the Pró-Saúde Study. Food consumption was investigated using a food frequency questionnaire. Association between dietary patterns (exposure) and overweight and cardiovascular risk (outcomes) was estimated using linear regression.

RESULTS

Among the 520 staff assessed, four dietary patterns were found: 'ultra-processed', 'healthy', 'meat' and 'traditional'. After adjustment, the 'meat' pattern was inversely associated with waist circumference (ß=-1.52 - 95%CI -2.66;-0.39), body mass index (ß=-0.56 - 95%CI -1.01;-0.11), and the Framingham Risk Score (ß=-0.36 - 95%CI -0.64;-0.09).

CONCLUSION

In view of excess weight, risk of cardiovascular disease and inverse association between the 'meat' food consumption pattern and BMI, it is important to conduct further investigations, with non-working groups, with the aim of gaining greater understanding of the health-disease process related to food consumption.

Diet Quality Indices in the SUN Cohort: Observed Changes and Predictors of Changes in Scores Over a 10-Year Period

BACKGROUND

Dietary quality indices (DQI) are widely used in nutritional epidemiology. However, how they might change over time in a Mediterranean population is not well understood.

OBJECTIVE

To evaluate within-participant longitudinal changes in scores for nine a priori-defined DQIs: Fat Quality Index (FQI), Carbohydrate Quality Index (CQI), Pro-vegetarian Dietary Pattern (PVG), Mediterranean Diet Adherence Screener (MEDAS), Mediterranean Diet Score (MDS), Dietary Approaches to Stop Hypertension (DASH), Mediterranean-DASH Intervention for Neurodegenerative Delay Diet (MIND), Prime Diet Quality Score (PDQS) and Alternate Healthy Eating Index (AHEI-2010) in the "Seguimiento Universidad de Navarra" (SUN) cohort, a well-known Mediterranean cohort of university graduates, and to identify baseline predictors of improvement in MEDAS and AHEI-2010 after 10 years of follow-up.

DESIGN

In this longitudinal cohort study, DQI scores were calculated based on responses from a validated semiquantitative food-frequency questionnaire (FFQ).

PARTICIPANTS/SETTING

Spanish university graduates enrolled in the SUN cohort before March 2008, who completed the 10-year FFQ and reported total dietary intake at baseline and after 10 years of follow-up, included 2,244 men and 3,271 women, whose mean age at baseline was 36.3 years (standard deviation [SD], 10.7).

MAIN OUTCOME MEASURES

Main outcome measures were within-participant longitudinal changes for FQI, CQI, PVG, MEDAS, MDS, DASH, MIND, PDQS, and AHEI-2010.

STATISTICAL ANALYSES PERFORMED

Adjusted logistic regression models were used to evaluate within-participant longitudinal changes and to identify baseline predictors of improvements ≥10% in MEDAS and AHEI-2010 scores after 10 years of follow-up.

RESULTS

The comparison of the nine scores of DQI calculated at baseline and after 10 years of follow-up showed an improvement in all DQI scores except for PDQS. The greatest changes in DQIs were found for MEDAS (from 6.2 to 7.2, +22.9%) and MDS (from 4.3 to 4.4, +15.4%). The strongest predictors at baseline for ≥10% improvements in MEDAS or AHEI-2010 scores varied across indices. Being female, ≥35 years old, and more physically active at baseline were associated with improvement, whereas snacking between meals was associated with <10% improvements in both indices.

CONCLUSIONS

In this cohort, the changes in nine a priori-defined DQI scores suggested modest improvements in diet quality, in which MEDAS and MDS scores showed the largest improvements. Additional longitudinal studies, especially intervention trials with long follow-up, are warranted to establish the most appropriate DQIs to assess long-term changes in diet quality in adult populations.

Social vulnerability associated with the self-reported diagnosis of type II diabetes: a multilevel analysis

OBJECTIVE

To analyze the contextual factors associated with type II diabetes mellitus in Belo Horizonte City.

METHODS

Cross-sectional study with 5,779 adults living in Belo Horizonte City, participating in the Risk and Protection Factors Surveillance System for Chronic Diseases through Telephone Survey (Vigitel), in 2008, 2009, and 2010. Multilevel regression models were used to test the association between contextual indicators of physical and social environments, and self-reported diagnosis of diabetes, adjusted for individual sociodemographic and lifestyle factors. Descriptive analyzes and multilevel logistic regression models were used, considering a 5% significance level.

RESULTS

The prevalence of diabetes was 6.2% (95%CI 5.54 - 6.92), and 3.1% of the variability of chance of presenting diabetes were explained by contextual characteristics. Living in areas with high density of private places for physical activity and high income was associated with a lower chance of having diabetes. The areas with high level of social vulnerability were strongly associated with the chance of presenting diabetes, adjusted for individual characteristics.

CONCLUSION

Characteristics of physical and social environments were associated with the chance of diabetes occurrence. Urban centers with opportunities to adopt healthy behaviors can help to reduce the occurrence of diabetes and its complications.

Diet during pregnancy: Influence of social characteristics and migration in the ELFE cohort

Better adherence to dietary guidelines during pregnancy is supposed to result in healthier perinatal outcomes. We aim to characterize the diets of pregnant women by hypothesis‐driven and exploratory approaches and describe potential social determinants. Analyses included 12 048 mothers from the French nationwide ELFE birth cohort. Dietary intake over the last three months of the pregnancy was assessed by a food frequency questionnaire. Two hypothesis‐driven scores (the Diet Quality score, based on benchmarks derived from the National Health and Nutrition Program Guidelines, and the PANDiet score, based on nutrient intake) were calculated. Exploratory dietary patterns were also identified by principal component analysis. Multiple linear regressions were used to assess associations of maternal social characteristics with dietary patterns, accounting for the possible effect modification by their migration status. Five dietary patterns were identified: the Western, Balanced, Bread and toppings, Processed products, and Milk and breakfast cereals. Younger maternal age, single motherhood, unemployment and the presence of older children in the household were related to a suboptimal diet during pregnancy. The less acculturated the women were, the healthier and less processed their diets were, independent of their socio‐economic position. Several social determinants of the quality of women's diets were however moderated by their migration status. These findings shed light on the relations between indicators of social vulnerability, such as single motherhood and unemployment, and poorer diet quality. Given the reduced diet quality that accompanies the acculturation process, it is of paramount importance to identify the specific factors or obstacles that affect migrant women in maintaining their diet quality advantage over the majority population.

Prenatal Diet and Children's Trajectories of Anxiety and Depression Symptoms from 3 to 8 Years: The EDEN Mother-Child Cohort

BACKGROUND

Maternal diet quality during pregnancy has been linked to offspring's physical and mental health outcomes across the lifespan. However, few studies have examined its association with subsequent offspring's anxiety and depression issues.

OBJECTIVES

The objective of the study was to examine the relationship between maternal prenatal dietary patterns and offspring's anxiety and depression symptoms from 3 to 8 years.

METHODS

We used data from 1242 children enrolled in the French EDEN (Etude des déterminants pré- et postnatals précoces du développement et de la santé de l'enfant) birth cohort. Maternal third trimester dietary patterns-namely, "Healthy" (i.e., high intake in fruit, vegetables, fish, and whole-grain cereals) and "Western" (i.e., high intake in processed and snacking foods) patterns-were evaluated using a validated qualitative FFQ. Children's anxiety and depression symptoms (i.e., fears, worries, misery, nervousness, and somatic symptoms) were assessed by mothers using the Strengths and Difficulties Questionnaire at ages 3, 5, and 8 years, from which trajectories were derived using group-based trajectory modeling. We used logistic regressions to analyze the associations between maternal dietary patterns and children's anxiety and depression symptom trajectories.

RESULTS

We identified 2 trajectories of anxiety and depression symptoms from 3 to 8 years of age: low to moderate (n = 1058; reference group) and moderately high (n = 184). Maternal low adherence to the Healthy dietary pattern in the third trimester was significantly associated with moderately high children's anxiety and depression symptom trajectories from 3 to 8 years (OR, 1.87; 95% CI, 1.40-2.51), in crude and adjusted analyses. The maternal Western dietary pattern was not significantly associated with anxiety and depression symptom trajectories.

CONCLUSIONS

High maternal prenatal adherence to a Healthy dietary pattern was negatively related to anxiety and depression symptoms in children. As maternal diet is a key lifestyle factor, further research should investigate its association with subsequent offspring anxiety and depression symptoms in aiming to later inform prevention strategies focusing on pregnancy.

Sociodemographic determinants of food consumption pattern: Pró-Saúde Study

AIMS

To identify dietary patterns (DP) and to investigate their association with sociodemographic aspects.

METHODOLOGY

A cross-sectional data analysis of a sub-sample from Phase 4 of the Pró-Saúde Longitudinal Study (2012-2013), constituting a total of 520 participants. DP were obtained by principal component analysis from a food frequency questionnaire. Association between DP and sociodemographic aspects was analyzed by adjusted logistic regression.

RESULTS

Four DP were identified: processed and ultraprocessed products; fresh food; meats and alcoholic beverages; and traditional Brazilian foods. There was a greater adherence chance to "processed and ultraprocessed products" pattern among adults ≥ 55 years and lower chance among men. The probability of adherence to "fresh food" pattern was directly associated to men, subjects with a high educational level and inversely associated to adults aged ≥ 60 years. There was a lower chance of "meats and alcoholic beverages" pattern among men and increased chance of adherence to "traditional Brazilian foods" pattern among whites, subjects with ≥ 60 years and low schooling.

CONCLUSION

Sociodemographic factors were important determinants of DP, especially gender, schooling and age. Presence of a DP composed of processed and ultraprocessed products indicates the need for awareness strategies and supply limitation in this population, since it affects their health.

Association of Dietary Patterns Derived Using Reduced-Rank Regression With Subclinical Cardiovascular Damage According to Generation and Sex in the STANISLAS Cohort

Background

The diet impact on cardiovascular diseases has been investigated widely, but the association between dietary patterns (DPs) and subclinical cardiovascular damage remains unclear. More informative DPs could be provided by considering metabolic syndrome components as intermediate markers. This study aimed to identify DPs according to generation and sex using reduced‐rank regression (RRR) with metabolic syndrome components as intermediate markers and assess their associations with intima‐media thickness, left ventricular mass, and carotid‐femoral pulse‐wave velocity in an initially healthy population‐based family study.

Methods and Results

This study included 1527 participants from the STANISLAS (Suivi Temporaire Annuel Non‐Invasif de la Santé des Lorrains Assurés Sociaux) cohort fourth examination. DPs were derived using reduced‐rank regression according to generation (G1: age ≥50 years; G2: age <50 years) and sex. Associations between DPs and cardiovascular damage were analyzed using multivariable linear regression models. Although identified DPs were correlated between generations and sex, qualitative differences were observed: whereas only unhealthy DPs were found for both men generations, healthy DPs were identified in G2 (“fruity desserts”) and G1 (“fiber and w3 oil”) women. The “alcohol,” “fast food and alcohol,” “fried, processed, and dairy products,” and “meat, starch, sodas, and fat” DPs in G1 and G2 men and in G1 and G2 women, respectively, were associated with high left ventricular mass (β [95% CI], 0.23 [0.10–0.36], 0.76 [0.00–1.52], 1.71 [0.16–3.26], and 1.80 [0.45–3.14]). The “alcohol” DP in G1 men was positively associated with carotid‐femoral pulse‐wave velocity (0.22 [0.09–0.34]).

Conclusions

The DPs that explain the maximum variation in metabolic syndrome components had different associations with subclinical cardiovascular damage across generation and sex. Our results indicate that dietary recommendations should be tailored according to age and sex.

Clinical Trial Registration

URL: http://www.clinicaltrials.gov. Unique identifier: NCT01391442.

Association between Dietary Intake of One-Carbon Metabolism Nutrients in the Year before Pregnancy and Birth Anthropometry

Few studies have evaluated the role of methylation-pathway nutrients involved in fetal growth (B vitamins, choline, betaine, and methionine). These one-carbon metabolism (OCM) nutrients are essential for DNA methylation in the periconception period. We aimed to characterize dietary patterns of 1638 women from the EDEN mother-child cohort in the year before pregnancy according to the contribution of OCM nutrients and to study the association of such patterns with anthropometric measurements at birth. Dietary intake before pregnancy was assessed by using a semi-quantitative food frequency questionnaire. We used the reduced-rank regression (RRR) method to identify dietary patterns using OCM nutrients as intermediate variables. We ran linear regressions models to study the association between dietary patterns scores and birth weight, length, head circumference, gestational age, and sex-specific z-scores, adjusting for maternal characteristics and vitamin supplementation before and during pregnancy. Three patterns, “varied and balanced”, “vegetarian tendency”, and “bread and starchy food” were identified, explaining 58% of the variability in OCM nutrient intake. Higher scores on the “varied and balanced” pattern tended to be associated with higher birth length and weight. In mainly well-nourished young French women, we did not find evidence that variability in OCM nutrient intake has major effects on fetal growth.

Patterns of PCBs and OCPs exposure in a sample of Lebanese adults: The role of diet and physical activity

BACKGROUND

Exposure to persistent organic pollutants (POPs) in the general population is 90% from food intake. Dietary patterns provide a global estimation of exposure to POPs, taking into account multiple food sources of environmental contaminants.

OBJECTIVES

To evaluate the association of dietary, socio-demographic, anthropometric, and lifestyle-related variables with clusters of polychlorinated biphenyls (PCBs) and organochlorine pesticides (OCPs), in a sample of students and employees of Saint Joseph University of Beirut.

METHODS

A total of 302 participants were randomly recruited. Questionnaires covering dietary, socio-demographic, and lifestyle-related characteristics were administered. Anthropometric measurements were obtained. Serum concentrations of six indicator PCBs (PCB 28, 52, 101, 138, 153 and 180) and four OCPs, hexachlorobenzene (HCB), β-hexachlorocyclohexanes (β-HCH), p,p'-dichlorodiphenyltrichloroethane (DDT) and its metabolite p,p'-dichlorodiphenyldichloroethylene (DDE) were measured, and cluster analysis was applied. We evaluated the association of dietary intake with PCBs/OCPs exposure using two different approaches: food consumption categories and dietary patterns retrieved from principal component analysis (PCA).

RESULTS

Three clusters of PCBs/OCPs were obtained: middle-level, high-level, and low-level. Practicing physical activity was associated with a three times higher risk of having high-level PCBs/OCPs, after adjustment for confounding variables (ORa = 2.97; CI = 1.23-7.19; p < 0.05). The highest tertile of fish and shellfish consumption increased by three-folds the odds of having high-level PCBs/OCPs (ORa = 3.41; CI = 1.07-10.84; p < 0.05). PCA revealed six dietary patterns. A "cereals, fats and oils, and eggs" dietary pattern was associated with 50% increase in the risk of having high-level PCBs/OCPs (ORa = 1.48; CI = 1.03-2.13; p < 0.05).

CONCLUSION

The present results offer a valuable contribution to the understanding of the factors increasing exposure to POPs, namely fish consumption and the "cereals, fats and oils, and eggs" dietary pattern. We also demonstrated that physical activity was positively associated with a higher risk of exposure to PCBs and OCPs, knowing that data on this matter are scarce.

Breastfeeding duration is associated with offspring’s adherence to prudent dietary pattern in adulthood: results from the Nutritionist’s Health Study

Little is known about the long-term effect of breastfeeding on dietary habits. We examined the association between breastfeeding duration and adherence to current dietary patterns of young women. This was a cross-sectional analysis of 587 healthy women aged ≤45 years, undergraduates or nutrition graduates. Maternal characteristics and breastfeeding duration [<6; 6–<12; ≥12 months (reference)] were recalled. Diet was assessed using a food frequency questionnaire and patterns were identified using factor analysis by principal component. Adherence to patterns was categorized in tertiles; the first (T1 = reference) was compared to T2 + T3 (moderate-to-high adherence). Logistic regression was performed considering the minimal sufficient adjustment recommended by the directed acyclic graph. Median age was 22 (interquartile range (IQR) 20; 27) years and body mass index (BMI) 22.2 (IQR 20.4; 25.0) kg/m2. The four dietary patterns identified (Processed, Prudent, Brazilian and Lacto-vegetarian) explained 27% of diet variance. Women breastfed for <6 months showed lower chance of moderate-to-high adherence to the Prudent pattern (odds ratio (OR) = 0.53, p = 0.04). Breastfeeding was not associated with the other patterns. Maternal pre-pregnancy BMI was directly associated with moderate-to-high adherence to the Processed pattern (OR = 2.01, p = 0.03) and inversely to the Prudent pattern (OR = 0.52, p = 0.02). Higher adherence to the Brazilian pattern was associated with proxies of low socioeconomic status and the Lacto-vegetarian pattern with the opposite. Confirmation in prospective studies of the association found in this study between breastfeeding with the Prudent pattern in adult offspring could suggest that early feeding practices influence long-term dietary habits, which could then affect the risk of nutrition-related diseases.

Association between DNA damage, dietary patterns, nutritional status, and non-communicable diseases in coal miners

Several negative health effects have been associated with environmental pollution. Coal mining activities are related to DNA damage. However, the impact of lifestyle as well as environmental exposure must be considered when evaluating the extent of DNA damage. The aim of this cross-sectional study was to analyze nutritional status, dietary patterns, and the prevalence of non-communicable diseases (CNCDs) among coal miners as well as to investigate the correlation of these variables with DNA damage. We used a questionnaire to assess demographics, health, and dietary habits. The nutritional status was measured in terms of BMI (body mass index) and DNA damage was assessed by the comet assay. The sample population was composed of 158 coal miners from the largest coal mining company in South of Brazil, and majority of them were classified as overweight (51.3%) or obese (28.5%). Hypertension was the most common CNCD (50.6%) and a majority of these workers consumed all groups of foods three or more times a week. There was a significant positive correlation between BMI and DNA damage (r = 0.1646, p = 0.04) and this association was stronger (r = 0.2556, p = 0.04) in coal miners with some CNCD. There was no significant correlation between dietary patterns and DNA damage in coal miners. These results suggest that the nutritional status and CNCD increase the extent of DNA damage in coal miners. Since this population is at high occupational risk, specific strategies should be designed to improve the health of these workers, aiming to achieve health equity.

Dietary patterns and their association with sociodemographic and behavioral factors: 2015 Women's Health Research, São Leopoldo (RS)

INTRODUCTION

Dietary patterns may be more predictive of disease risk than individual nutrients or foods.

OBJECTIVE

To identify dietary patterns and associated factors among adult women.

METHOD

Population-based cross-sectional study with 1,128 women, aged 20 to 69 years, living in São Leopoldo, Rio Grande do Sul. Food intake was assessed with a frequency questionnaire. The principal component analysis identified dietary patterns. We estimated crude and adjusted prevalence ratios using Poisson regression with robust variance.

RESULTS

Threedietary patterns - responsible for 25.8% of the total variance - were identified: healthy (fruits, vegetables, and whole foods); risk (ultra-processed foods); and Brazilian (rice and beans). The healthy pattern showed the largest percentage of explained variation (11.62%). The probability of adherence to the healthy pattern increased linearly with age and schooling and was higher among ex-smokers [prevalence ratio (PR)=1.22; confidence interval of 95% (95%CI) 1.04 - 1.42]. Younger women and those with better schooling had more chances of adhering to the risk pattern. The probability of adherence to the Brazilian pattern increased as schooling decreased and was higher among non-white women (PR = 1.29; 95%CI 1.04- 1.59).

CONCLUSIONS

While adherence to healthy and risk patterns behaved differently according to women's age, it was similar regarding schooling. Socioeconomic conditions defined adherence to the Brazilian pattern.

New cancer cases attributable to diet among adults aged 30-84 years in France in 2015

This study aimed to estimate the number of new cancer cases attributable to diet among adults aged 30-84 years in France in 2015, where convincing or probable evidence of a causal association exists, and, in a secondary analysis, where at least limited but suggestive evidence of a causal association exists. Cancer cases attributable to diet were estimated assuming a 10-year latency period. Dietary intake data were obtained from the 2006 French National Nutrition and Health Survey. Counterfactual scenarios of dietary intake were based on dietary guidelines. Corresponding risk relation estimates were obtained from meta-analyses, cohort studies and one case-control study. Cancer incidence data were obtained from the French Network of Cancer Registries. Nationally, unfavourable dietary habits led to 16 930 new cancer cases, representing 5·4 % of all new cancer cases. Low intake of fruit and dietary fibre was the largest contributor to this burden, being responsible for 4787 and 4389 new cancer cases, respectively. If this is expanded to dietary component and cancer pairs with at least limited but suggestive evidence of a causal association, 36 049 new cancer cases, representing 11·6 % of all new cancer cases, were estimated to be attributable to diet. These findings suggest that unfavourable dietary habits lead to a substantial number of new cancer cases in France; however, there is a large degree of uncertainty as to the number of cancers attributable to diet, including through indirect mechanisms such as obesity, and therefore additional research is needed to determine how diet affects cancer risk.

Prenatal diet and children's trajectories of hyperactivity-inattention and conduct problems from 3 to 8 years: the EDEN mother-child cohort

BACKGROUND

Evidence shows that diet contributes substantially to lifelong physical and mental health. Although dietary exposure during gestation and early postnatal life is critical, human epidemiological data are limited regarding its link with children's subsequent externalizing issues. The aim of this study was to investigate the role of maternal diet during pregnancy in offspring's symptoms of hyperactivity-inattention and conduct problems from ages 3 to 8 years.

METHODS

We used data of 1,242 mother-child pairs from a French cohort followed up from pregnancy until the children were 8 years of age. Dietary patterns (DP) of the mother during pregnancy were assessed with food frequency questionnaires. Children's externalizing behavior was assessed with the Strength and Difficulties Questionnaire at ages 3, 5, and 8 years, from which trajectories of hyperactivity-inattention symptoms and conduct problems were derived. We conducted multivariable logistic models to study associations adjusted for a range of potential confounders.

RESULTS

Results showed significant relationships between maternal 'low Healthy diet' (adjusted Odds Ratio (aOR) = 1.61; IC 95%: 1.09-2.37) and 'high Western diet' (aOR = 1.67; IC 95%: 1.13-2.47) during pregnancy and children's trajectories of high symptoms of hyperactivity-inattention. The associations took into account relevant confounders such as DP of the children at age 2 years, maternal stress and depression, gestational diabetes, and socioeconomic variables.

CONCLUSIONS

Maternal diet during pregnancy was independently associated with children's hyperactivity-inattention symptoms but not with conduct problems. Early prevention addressing lifestyle should specifically target diet in pregnant women.

Thirteen-Year Trends in Dietary Patterns among Japanese Adults in the National Health and Nutrition Survey 2003⁻2015: Continuous Westernization of the Japanese Diet

We examined 13-year trends in dietary patterns, using data from the National Health and Nutrition Survey, Japan 2003–2015. In repeated, independent cross-sectional studies, dietary intake was assessed with a one-day weighed dietary record in 88,527 Japanese adults aged ≥20 years. Using principal component analysis based on the daily consumption of 31 food groups, we identified three dietary patterns, the “plant food and fish”, “bread and dairy”, and “animal food and oil” patterns. In the whole sample, the “plant food and fish” pattern score decreased while the “bread and dairy” and “animal food and oil” pattern scores increased. The decreasing trends in the “plant food and fish” pattern were observed in all subgroups considered. The increasing trends in the “bread and dairy” pattern were similar across sexes and by current smoking status. However, in terms of age, occupation, and weight status, the increasing trends were only evident in particular subgroups (i.e., age 50–64 and ≥65 years; security/transportation/labor occupation and nonworker; and normal weight and overweight participants). For the “animal food and oil” pattern, the increasing trends were observed in all subgroups, except for the youngest age group (20–34 years old). This study suggests continuous Westernization of the Japanese diet.

Influence of a cancer diagnosis on changes in fruit and vegetable consumption according to cancer site, stage at diagnosis and socioeconomic factors: Results from the large E3N-EPIC study

Many studies have demonstrated that lifestyle factors, including diet, may influence cancer survival. The number of cancer survivors is increasing worldwide and little is known about long-term diet changes in people who had cancer. We studied 53,981 women from the prospective E3N-EPIC cohort study with available dietary data in 1993 and 2005, among whom 4,619 had a cancer diagnosis inbetween (including n = 2,699 breast cancers). We evaluated the potential impact of a cancer diagnosis (comparing women with cancer to women with no cancer) on changes in FV consumption using multivariable linear regression models considering cancer site, stage at diagnosis and socioeconomic factors. Compared to women with no cancer, a statistically significant increase in FV consumption (β=+2.65%, [1.22-4.09]) was observed in women who had cancer, and this association appeared to be driven by breast cancer exclusively. The increase in FV consumption was larger in women who had an advanced stage of breast cancer (stages II-IV) (β=+7.23%, [3.92-10.5]) than in women with stages 0-I (β=+2.03%, [-0.20 to 4.26]). Women with no partner and no children were those having the highest increase in FV consumption (β=+18.71%, [6.51-30.91]). These changes were only observed in specific SE groups. When considering adherence to guidelines, the proportion of women who consumed less than 7.5 portions a day in 1993 and more in 2005 was greater in women with advanced breast cancer. More research is now needed to understand how the inequities we observed impact the long-term health after cancer.

The relationship between socio-economic status and diagnosed Type 2 diabetes is changing with economic growth in Nanjing, China

AIM

In developed countries, the relationship between socio-economic status (SES) and Type 2 diabetes was positive several decades ago but is now negative. However, in developing societies such as China the relationship remains positive. It is likely that at some stage of economic development the SES-Type 2 diabetes association will become negative in developing communities. This study aimed to examine whether this inflexion is approaching in China.

METHODS

Two cross-sectional surveys were undertaken in Nanjing, China, in 2000 and 2011. The same sampling approach was used to randomly select participants. Diagnosed Type 2 diabetes was the outcome variable. SES was measured using monthly family average income and divided into thirds. Mixed-effects models were used to calculate the association between SES and Type 2 diabetes.

RESULTS

There were 19 861 (response rate, 90.1%) and 7824 (response rate, 82.8%) participants in 2000 and 2011, respectively. A 2.6-fold increase in Type 2 diabetes prevalence was observed from 3.0% (95% confidence interval 2.8%, 3.3%) in 2000 to 8.2% (7.7%, 8.8%) in 2011 (P < 0.01). After controlling for potential confounders, the odds ratios of having Type 2 diabetes decreased from 2.06 (95% CI 1.55, 2.73) and 1.83 (1.40, 2.37) in 2000 to 1.58 (1.23, 2.02) and 1.35 (1.06, 1.74) in 2011 for the higher and middle SES groups respectively, compared with those in the lower SES category.

CONCLUSIONS

The SES-Type 2 diabetes association remained positive in Nanjing, China, in 2011 but the disparity diminished significantly compared with 2000. These results can inform the delivery of appropriate interventions to people at risk of developing Type 2 diabetes.

Socio-economic factors associated with an increase in fruit and vegetable consumption: a 12-year study in women from the E3N-EPIC study

OBJECTIVE

To identify individual and contextual socio-economic factors associated with an increase in fruit and vegetable (F&V) consumption over a 12-year period and evaluate if some socio-economic factors were differentially associated with the change in consumption of some types of F&V.

DESIGN

Associations between increased F&V consumption and socio-economic factors were studied with multivariate logistic regression.

SETTING

E3N, a French prospective cohort study of 98 995 women.

SUBJECTS

E3N participants (n 58 193) with information on diet in 1993 and 2005, and numerous individual and contextual socio-economic factors available.

RESULTS

Associations between some individual socio-economic factors and changes in F&V consumption were observed. For instance, women who lived in a large household (>3 children v. no child) had higher probability of increasing their vegetable consumption (OR=1·33; 95 % CI 1·24, 1·42). This association was driven by higher consumption of courgette and raw cucumber. Living with a partner was associated with higher odds of increasing consumption of fruits (OR=1·07; 95 % CI 1·02, 1·13) such as pear, peach and grape.

CONCLUSIONS

Certain individual socio-economic factors, but none of the contextual socio-economic factors examined, were associated with an increase in F&V consumption. Factors associated with an increase in total F&V consumption were not necessarily associated with an increase in fruit or vegetable consumption separately, or with an increase in each subtype of fruit or vegetable. Magnitudes of the different associations observed also differed when F&V were considered together, separately or by subtype. Increases in F&V consumption were mostly observed in women with high socio-economic position. To develop effective nutritional interventions and policies that take the socio-economic environment of individuals into account, we recommend future research to further focus on (i) pathways through which population characteristics might influence changes in F&V consumption and (ii) existing interactions between individual and contextual socio-economic factors.

Factors associated with the introduction of complementary feeding in the French ELFE cohort study

The objectives of this study were to estimate the age of complementary feeding introduction (CFI) and investigate the related health, demographic, and socio-economic factors. Analyses were based on 10,931 infants from the French national birth cohort ELFE, born in 2011. Health, demographic, and socio-economic data concerning infants and parents were collected at birth (face-to-face interviews and medical records) and 2 months (telephone interviews). Data on milk feeding and CFI practices were collected at birth and 2 months then monthly from 3 to 10 months using online or paper questionnaires. The associations between both health and social factors and CFI age were tested by multivariable multinomial logistic regressions. The mean CFI age was 5.2 ± 1.2 months; 26% of the infants started complementary feeding before 4 months of age (CF < 4 months), 62% between 4 and 6 months of age, and 12% after 6 months of age (CF > 6 months). CF < 4 months was more likely when mothers smoked, were overweight/obese, younger (<29 years), and used their personal experience as an information source in child caregiving and when both parents were not born in France. CF < 4 months was less likely when the infant was a girl, second-born, when the mother breastfed longer, and had attended at least one birth preparation class. Mothers of second-born infants and who breastfed their child longer were more likely to introduce CF > 6 months. Couples in which fathers were born in France and mothers were not born in France were less likely to introduce CF > 6 months. CF < 4 months occurred in more than 25% of the cases. It is important to continue promoting clear CFI recommendations, especially in smoking, overweight, young, not born in France, and nonbreastfeeding mothers.

Dietary patterns in french home-living older adults: Results from the PRAUSE study

The aim of the present study was to provide descriptive dietary patterns of home-living older adults, and to examine their association with sociodemographic and 'diet-related' variables, and health and psychological factors. Dietary patterns were analyzed using separately cluster analysis for men (N=151,M_age=72.72, SD=8.80, range=56-97) and women (N=251, M_age=76.74, SD=9.95, range=55-97) in 402 older adults aged 55 years and over. Cluster analyses showed four distinct dietary profiles for each gender. In older men, the four distinct dietary clusters were associated with any differences in sociodemographic and 'diet-related' variables, cognitive function, and health and psychological factors. Likewise, in older women, the four distinct dietary clusters were associated with any differences in sociodemographic and 'diet-related' variables'. However in older women, results showed that the cluster 1 "high fish-fruit-vegetable" was associated with a better cognitive function, a better self-rated health and no depressive symptoms, whereas cluster 3 "moderate ready meals" was associated with cognitive decline, slight depression, and poor perceived health. Results emphasize the interest to take into consideration health and psychological factors associated with dietary patterns to better target the vulnerability of individuals and enable an effective prevention.

Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms

OBJECTIVE

We aimed to identify dietary patterns (DPs) of Portuguese adults, to assess their socioeconomic, demographic, lifestyle determinants, and to identify their impact on health.

DESIGN

EpiDoC 2 study included 10,153 Portuguese adults from the EpiDoC Cohort, a population-based study. In this study, trained research assistants using computer-assisted telephone interview collected socioeconomic, demographic, dietary, lifestyles, and health information from March 2013 to July 2015. Cluster analysis was performed, based on questions regarding the number of meals, weekly frequency of soup consumption, vegetables, fruit, meat, fish, dairy products, and daily water intake. Factors associated with DP were identified through logistic regression models.

RESULTS

Two DPs were identified: the "meat dietary pattern" and the "fruit & vegetables dietary pattern." After multivariable adjustment, women (OR = 0.52; p < 0.001), older adults (OR = 0.97; p < 0.001), and individuals with more years of education (OR = 0.96; p = 0.025) were less likely to adopt the "meat dietary pattern," while individuals in a situation of job insecurity/unemployment (OR = 1.49; p = 0.013), Azores island residents (OR = 1.40; p = 0.026), current smoking (OR = 1.58; p = 0.001), daily alcohol intake (OR = 1.46; p = 0.023), and physically inactive (OR = 1.86; p < 0.001) were positively and significantly associated with "meat dietary pattern." Moreover, individuals with depression symptoms (OR = 1.50; p = 0.018) and the ones who did lower number of medical appointments in the previous year (OR = 0.98; p = 0.025) were less likely to report this DP.

CONCLUSION

Our results suggest that unhealthy DPs (meat DP) are part of a lifestyle behavior that includes physical inactivity, smoking habits, and alcohol consumption. Moreover, depression symptoms are also associated with unhealthy DPs.

Socio-economic factors associated with a healthy diet: results from the E3N study

Objective

To identify individual and contextual socio-economic factors associated with a healthy diet.

Design

Dietary data from a large cohort study were used to derive two mutually exclusive dietary patterns through a latent class analysis. Associations between dietary patterns and socio-economic factors were studied with logistic regression.

Setting

E3N, a French prospective cohort study composed of women recruited from a national health insurance plan covering people working in the national education system.

Subjects

E3N participants (n 73 031) with dietary and socio-economic data available.

Results

The ‘Healthy’ pattern was characterized by a large consumption of fruits and vegetables and the ‘Less Healthy’ pattern by a large consumption of pizza and processed meat. When all socio-economic factors were analysed together, all of the individual factors considered were associated with a healthy diet (e.g. women with three or more children were less likely to follow a healthy diet v. women with no children, OR (95 % CI): 0·70 (0·66, 0·75)) while the contextual factors associated with a healthy diet included the size of the agglomeration of residence and the area of birth and residence (e.g. women living in the West of France were less likely to follow a healthy diet v. those living in the South of France: 0·78 (0·72, 0·83)).

Conclusions

We demonstrated that individual and contextual factors are both associated with diet. Rather than focusing only on individual factors, we recommend future studies or public health and nutritional strategies on diet to consider both types of factors.

Individual Diet Modeling Shows How to Balance the Diet of French Adults with or without Excessive Free Sugar Intakes

Dietary changes needed to achieve nutritional adequacy for 33 nutrients were determined for 1719 adults from a representative French national dietary survey. For each individual, an iso-energy nutritionally adequate diet was generated using diet modeling, staying as close as possible to the observed diet. The French food composition table was completed with free sugar (FS) content. Results were analyzed separately for individuals with FS intakes in their observed diets ≤10% or >10% of their energy intake (named below FS-ACCEPTABLE and FS-EXCESS, respectively). The FS-EXCESS group represented 41% of the total population (average energy intake of 14.2% from FS). Compared with FS-ACCEPTABLE individuals, FS-EXCESS individuals had diets of lower nutritional quality and consumed more energy (2192 vs. 2123 kcal/day), particularly during snacking occasions (258 vs. 131 kcal/day) (all p-values < 0.01). In order to meet nutritional targets, for both FS-ACCEPTABLE and FS-EXCESS individuals, the main dietary changes in optimized diets were significant increases in fresh fruits, starchy foods, water, hot beverages and plain yogurts; and significant decreases in mixed dishes/sandwiches, meat/eggs/fish and cheese. For FS-EXCESS individuals only, the optimization process significantly increased vegetables and significantly decreased sugar-sweetened beverages, sweet products and fruit juices. The diets of French adults with excessive intakes of FS are of lower nutritional quality, but can be optimized via specific dietary changes.

Dietary patterns in French home-living older adults: Results from the PRAUSE study

The aim of the present study was to provide descriptive dietary patterns of home-living older adults, and to examine their association with sociodemographic and 'diet-related' variables, and health and psychological factors. Dietary patterns were analyzed using separately cluster analysis for men (N=151,M_age=72.72, SD=8.80, range=56-97) and women (N=251, M_age=76.74, SD=9.95, range=55-97) in 402 older adults aged 55 years and over. Cluster analyses showed four distinct dietary profiles for each gender. In older men, the four distinct dietary clusters were associated with any differences in sociodemographic and diet-related variables, cognitive function, and health and psychological factors. Likewise, in older women, the four distinct dietary clusters were associated with any differences in sociodemographic and 'diet-related' variables'. However in older women, results showed that the cluster 1 "high fish-fruit-vegetable" was associated with a better cognitive function, a better self-rated health and no depressive symptoms, whereas cluster 3 "moderate ready meals" was associated with cognitive decline, slight depression, and poor perceived health. Results emphasize the interest to take into consideration health and psychological factors associated with dietary patterns to better target the vulnerability of individuals and enable an effective prevention.

Sex-Specific Sociodemographic Correlates of Dietary Patterns in a Large Sample of French Elderly Individuals

This cross-sectional analysis provides up-to-date information about dietary patterns (DP) and their sociodemographic correlates in European elderly individuals. We studied 6686 enrollees aged 65+ (55% women) in the ongoing French population-based NutriNet-Santé e-cohort. Diet was assessed via three 24 h records. The sex-specific correlates of factor analysis derived DP were identified with multivariable linear regression. Using 22 pre-defined food groups, three DP were extracted. The "healthy" DP (fruit, vegetables, grains, nuts, fish) was positively associated with education, living alone, and being a former smoker (women), and negatively associated with being overweight, current smoker (men), age 75+ years, having hypertension, and obesity (women). The "western" DP (meat, appetizers, cheese, alcohol) was positively associated with BMI (men) and being a former/current smoker; it was negatively associated with age 75+ years (women) and living alone. The "traditional" DP (bread, potatoes, milk, vegetables, butter, stock) was positively associated with age and negatively associated with being a former/current smoker, education (men), and residing in an urban/semi-urban area. The findings support the diversity of DP among the elderly, highlighting sex-specific differences. The "healthy" DP explained the largest amount of variance in intake. Future studies could replicate the models in longitudinal and international contexts.

Dietary patterns in the French adult population: a study from the second French national cross-sectional dietary survey (INCA2) (2006-2007)

Identification and characterisation of dietary patterns are needed to define public health policies to promote better food behaviours. The aim of this study was to identify the major dietary patterns in the French adult population and to determine their main demographic, socio-economic, nutritional and environmental characteristics. Dietary patterns were defined from food consumption data collected in the second French national cross-sectional dietary survey (2006-2007). Non-negative-matrix factorisation method, followed by a cluster analysis, was implemented to derive the dietary patterns. Logistic regressions were then used to determine their main demographic and socio-economic characteristics. Finally, nutritional profiles and contaminant exposure levels of dietary patterns were compared using ANOVA. Seven dietary patterns, with specific food consumption behaviours, were identified: 'Small eater', 'Health conscious', 'Mediterranean', 'Sweet and processed', 'Traditional', 'Snacker' and 'Basic consumer'. For instance, the Health-conscious pattern was characterised by a high consumption of low-fat and light products. Individuals belonging to this pattern were likely to be older and to have a better nutritional profile than the overall population, but were more exposed to many contaminants. Conversely, individuals of Snacker pattern were likely to be younger, consumed more highly processed foods, had a nutrient-poor profile but were exposed to a limited number of food contaminants. The study identified main dietary patterns in the French adult population with distinct food behaviours and specific demographic, socio-economic, nutritional and environmental features. Paradoxically, for better dietary patterns, potential health risks cannot be ruled out. Therefore, this study demonstrated the need to conduct a risk-benefit analysis to define efficient public health policies regarding diet.