Are the Eatwell Guide and Nutrient Profiling Models Consistent in the UK?

A nutrient profiling model (NPM) was developed in 2005 in the UK to regulate the marketing of foods to children. It was revised in 2018, but the new version has not been finalised. The Eatwell Guide (EWG) is the UK’s official food-based dietary guidelines. The aim of this study was to evaluate the agreement between the 2005 and 2018 versions of the NPM and the EWG. Using recent National Diet and Nutrition Surveys, we estimated the healthiness of individual diets based on an EWG dietary score and a NPM dietary index. We then compared the percentage of agreement and Cohen’s kappa for each combination of the EWG score and NPM index across the range of observed values for the 2005 and 2018 versions. A total of 3028 individual diets were assessed. Individuals with a higher (i.e., healthier) EWG score consumed a diet with, on average, a lower (i.e., healthier) NPM index both for the 2005 and 2018 versions. Overall, there was good agreement between the EWG score and the NPM dietary index at assessing the healthiness of representative diets of the UK population, when a low cut-off for the NPM dietary index was used, irrespective of the version. This suggests that dietary advice to the public is broadly aligned with NPM-based food policies and vice-versa.

P–106 The evaluation of dietary score representing the overall effect of men’s diet to semen quality on couple’s fertility

Study question Is men’s diet associated with assisted reproductive technology (ART) outcomes? Summary answer An empirical dietary score representing the overall effect of men’s diet on semen quality was unrelated to ART outcomes. What is known already Multiple studies have related various aspects of men’s diet to semen quality. Generally, healthier foods, such as fish, vegetables, and fruits, have been related to better semen quality, whereas unhealthy foods, like processed and red meats, have had the opposite relationship. Nevertheless, while bulk semen parameters are important biomarkers of male fertility and a diagnostic cornerstone for male factor infertility, they are imperfect predictors of a couple’s fertility. Study design, size, duration Couples presenting to the Massachusetts General Hospital Fertility Center between April 2007 and April 2018 were invited to participate in the Environment and Reproductive Health (EARTH) study, a prospective cohort study. Men’s diet was assessed with a previously validated food frequency questionnaire. A dietary score reflecting the overall relation of men’s food intake with semen quality parameters was empirically derived using reduced rank regression (RRR). The resulting dietary score was related to ART outcomes. Participants/materials, setting, methods We used information from 349 men (908 semen samples) to derive the empirical diet pattern and data from 231 couples (407 ART cycles). The primary outcome was the probability of live birth per treatment cycle; secondary outcomes were semen quality, and fertilization, implantation, and clinical pregnancy rates. We evaluated the association between the dietary score and these outcomes using logistic generalized linear mixed models to account for repeated cycles while adjusting for confounders. Main results and the role of chance Men had a median baseline age and BMI of 36.8 years and 26.9 kg/m2, respectively. The empirical diet pattern was significantly associated with all semen parameters. One standard deviation increase in the empirical diet pattern was associated with lower volume (–0.10 standard units [95% CI: –0.17 to –0.04]) and to higher sperm total sperm count (0.13 standard units [0.06 to 0.20]), concentration (0.17 standard units [0.10 to 0.24]), total motility (0.14 standard units [0.07 to 0.20]), progressive motility (0.08 standard units [0.01 to 0.15]), and normal morphology (0.18 standard units [0.11 to 0.25]). Couples with men in the lowest quartile of the empirical score were more likely to have a diagnosis of male infertility than couples with men in the highest quartile (49% vs 24%). Despite the association with semen parameters, the empirical diet score was not related to any clinical outcome of infertility treatment with ART. The adjusted probabilities of implantation, clinical pregnancy and live birth in the lowest and highest quartile of the empirical score were 0.62 (0.50–0.73) and 0.55 (0.45–0.66), 0.57 (0.46–0.69) and 0.50 (0.40–0.61), and 0.49 (0.37–0.62) and 0.36 (0.25–0.48), respectively. Analyses excluding couples with a diagnosis of male factor infertility yielded similar results. Limitations, reasons for caution We evaluated the relationship only among couples presenting to a fertility center and therefore it is unclear whether findings can be generalized to couples trying to conceive without ART. Wider implications of the findings: Given ART is a robust intervention including stringent sperm selection procedures, any effect that empirical diet may have on a couple’s chances of conceiving through assisted reproduction is unlikely to reflect the effect of these factors on bulk semen quality parameters. Trial registration number The project was funded by ES009718, ES022955, ES026648, and ES000002 from the National Institute of Environmental Health Sciences, and P30DK46200 from the National Institute of Diabetes and Digestive and Kidney Diseases

Are Dietary Indices Associated with Polycystic Ovary Syndrome and Its Phenotypes? A Preliminary Study

Polycystic ovary syndrome (PCOS) is a complex hormonal disorder which impairs ovarian function. The adherence to healthy dietary patterns and physical exercise are the first line of recommended treatment for PCOS patients, but it is yet unclear what type of diet is more adequate. In this case-control study, we explored associations between adherence to five dietary quality indices and the presence of PCOS. We enrolled 126 cases of PCOS and 159 controls living in Murcia (Spain). Diagnostic of PCOS and its phenotypes were established following the Rotterdam criteria (hyperandrogenism (H), oligoanovulation (O), polycystic ovaries morphology (POM)). We used a validated food frequency questionnaires to calculate the scores of five dietary indices: alternate Healthy Eating index (AHEI), AHEI-2010, relative Mediterranean Dietary Score (rMED), alternate Mediterranean Dietary Score (aMED) and Dietary Approaches to Stop Hypertension (DASH). We used multivariable logistic regression to estimate adjusted odds ratios and confidence intervals. In the multivariable analysis, AHEI-2010 index was inversely associated with Hyperandrogenism + Oligoanovulation PCOS phenotype (ORQ3 vs. Q1 = 0.1; 95% CI: (0.0; 0.9); Pfor trend = 0.02). We did not find any statistical significant association between dietary indices and total anovulatory or ovulatory PCOS. However, further studies with higher sample sizes exploring these associations among the diverse phenotypes of PCOS are highly warranted.

Are Dietary Indices Associated with Polycystic Ovary Syndrome and Its Phenotypes? A Case-Control Study

Polycystic ovary syndrome (PCOS) is a complex hormonal disorder which impair ovarian function. The adherence to healthy dietary patterns and physical exercise are the first line of recommended treatment for PCOS patients, but it is no clear what type of diet is more adequate. In this case-control study, we explore the association between the adherence to five dietary quality indices widely used and PCOS. We enrolled 126 cases of PCOS and 159 controls (Murcia, Spain). Diagnostic of PCOS and its phenotypes were established following the Rotterdam criteria [hyperandrogenism (H), oligoanovulation (O), polycystic ovaries morphology (POM)]. We used a validated food frequency questionnaires to calculate the scores for five dietary indices: alternate Healthy Eating index (AHEI), AHEI-2010, relative Mediterranean Dietary Score (rMED), alternate Mediterranean Dietary Score (aMED) and Dietary Approaches to Stop Hypertension (DASH). We used multivariable logistic regression to estimate adjusted odds ratios and confidence intervals. In the multivariable analysis, AHEI-2010 index was inversely associated with “H+O” PCOS’ phenotype (ORQ3 VS Q1= 0.1; 95% CI :(0.0; 0.9); P for trend= 0.02). In conclusion, we did not find any statistical significative association between dietary indices and total, anovulatory and ovulatory PCOS, but it seems interesting explore these association among the diverse phenotypes of PCOS in studies with higher sample size.

Neighbourhood characteristics as a predictor of adherence to dietary recommendations: A population-based cohort study of Finnish adults

Aims: To investigate the association of six-year cumulative level of socioeconomic neighbourhood disadvantage and population density with subsequent adherence to dietary recommendations, controlling for preceding dietary adherence, in adults in Finland. Methods: Population-based Health and Social Support (HeSSup) study participants from four age groups (20–24, 30–34, 40–44 and 50–54 years at baseline in 1998). Data on diet and alcohol consumption were obtained from the 2003 and 2012 surveys and information on neighbourhoods from Statistics Finland Grid database ( n = 10,414 men and women). Participants diet was measured as adherence to Nordic Nutrition recommendation (score range 0–100). Neighbourhood disadvantage was measured by median household income, proportion of those with primary education only and unemployment rate, and population density by the number of adult population between years 2007 and 2012. Linear models were used to assess the associations of neighbourhood characteristics with the score for adherence to dietary recommendations in 2012. Results: Cumulative neighbourhood socioeconomic disadvantage was associated with slightly weaker (1.49 (95% confidence interval (CI) −1.89 to −1.09) point decrease in dietary score) adherence while higher population density was associated with better (0.70 (95% CI 0.38−1.01) point increase in dietary score) adherence to dietary recommendations. These associations remained after controlling for prior dietary habits, sociodemographic, chronic cardio-metabolic diseases, and severe life events. Conclusions: These longitudinal findings support the hypothesis that neighbourhood characteristics affect dietary habits.

Determinants and Consequences of Food Insecurity in Artisanal Fishing Families From the Coastal Community of Sonora, Mexico

Background: Families living from artisanal fisheries are vulnerable to food insecurity. Objective: This research aimed to assess the determinants and consequences of food insecurity in artisanal fishing families from the coastal community of Sonora, Mexico, and to understand how these families face food insecurity. Methods: This was a cross-sectional study with 116 mothers. A socioeconomic, demographic, and nutritional knowledge survey was applied to assess determinants. A survey about food in the community and food security scale were collected to evaluate food insecurity and two 24-hour dietary recalls and anthropometric measures to assess consequences. Field notes about facing food insecurity were collected. Results: Sixty-eight percent of families have food insecurity. Being above the poverty line, higher father education, knowing how many glasses of water should be drunk per day, and how many minutes of physical activity should be done per day were associated with lower food insecurity. Not having medical service and lower mother education were associated with higher food insecurity. Higher food insecurity was associated with buying in a convenience store; higher food insecurity and higher mother education were associated with lower dietary score; and higher father education was associated with higher dietary score. Being below the extreme poverty line by income and number of children were associated with lower waist circumference; lower father education was associated with higher waist circumference of mothers. Conclusions: Artisanal fishing families residing in the coastal community of Sonora, Mexico, experience high food insecurity associated with social and economic determinants and their dietary quality.