Physical activity attenuates but does not eliminate coronary heart disease risk amongst adults with risk factors: EPIC-CVD case-cohort study.

AIMS: This study aimed to evaluate the association between physical activity and the incidence of coronary heart disease (CHD) in individuals with and without CHD risk factors. METHODS AND RESULTS: EPIC-CVD is a case-cohort study of 29 333 participants that included 13 582 incident CHD cases and a randomly selected sub-cohort nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Self-reported physical activity was summarized using the Cambridge physical activity index (inactive, moderately inactive, moderately active, and active). Participants were categorized into sub-groups based on the presence or the absence of the following risk factors: obesity (body mass index ≥30 kg/m2), hypercholesterolaemia (total cholesterol ≥6.2 mmol/L), history of diabetes, hypertension (self-reported or ≥140/90 mmHg), and current smoking. Prentice-weighted Cox regression was used to assess the association between physical activity and incident CHD events (non-fatal and fatal).Compared to inactive participants without the respective CHD risk factor (referent), excess CHD risk was highest in physically inactive and lowest in moderately active participants with CHD risk factors. Corresponding excess CHD risk estimates amongst those with obesity were 47% [95% confidence interval (CI) 32-64%] and 21% (95%CI 2-44%), with hypercholesterolaemia were 80% (95%CI 55-108%) and 48% (95%CI 22-81%), with hypertension were 80% (95%CI 65-96%) and 49% (95%CI 28-74%), with diabetes were 142% (95%CI 63-260%), and 100% (95%CI 32-204%), and amongst smokers were 152% (95%CI 122-186%) and 109% (95%CI 74-150%). CONCLUSIONS: In people with CHD risk factors, moderate physical activity, equivalent to 40 mins of walking per day, attenuates but does not completely offset CHD risk.

Substitution of pure fruit juice for fruit and sugar-sweetened beverages and cardiometabolic risk in European Prospective Investigation into Cancer and Nutrition (EPIC)-NL: a prospective cohort study.

OBJECTIVE: Dietary guidelines on pure fruit juice differ between countries regarding the question whether pure fruit juice (without added sugars) is an acceptable substitute for fruit or should be avoided because of its comparable sugar content with that of sugar-sweetened beverages (SSB). We modelled whether substituting pure fruit juice for fruit or SSB was associated with cardiometabolic risk. DESIGN: Prospective cohort study. SETTING: Based on a validated FFQ at baseline, we calculated the relative contribution of pure fruit juice to total consumption of fruit and pure fruit juice (${{{\rm{pure}}\;{\rm{fruit}}\;{\rm{juice}}\;\;\left( {{\rm{g}}/{\rm{day}}} \right)} \over {{\rm{fruit}}\; + \;{\rm{pure}}\;{\rm{fruit}}\;{\rm{juice}}\;\left( {{\rm{g}}/{\rm{day}}} \right)}}$) and to total consumption of SSB and pure fruit juice (${{{\rm{pure}}\;{\rm{fruit}}\;{\rm{juice}}\;\;\left( {{\rm{g}}/{\rm{day}}} \right)} \over {{\rm{SSBs}}\; + \;{\rm{pure}}\;{\rm{fruit}}\;{\rm{juice}}\;\left( {{\rm{g}}/{\rm{day}}} \right)}}$). In multivariate analyses (Cox regression), we assessed associations with incidence of type 2 diabetes, CVD, CHD and stroke after an average follow-up of 14·6 years. PARTICIPANTS: About 35 000 participants from the EPIC-NL study, aged 20-70 years at enrolment. RESULTS: Substitution of pure fruit juice for SSB was associated with lower risk of all endpoints. For type 2 diabetes and CHD, for example, drinking 75-100 % (as compared with 0-<25 %) of total SSB + pure fruit juice as pure fruit juice showed hazard ratio (95 % CI) of 0·74 (95 % CI 0·64, 0·85) and 0·85 (95 % CI 0·76, 0·96), respectively. Substitution of pure fruit juice for fruit was not associated with the risk of type 2 diabetes, CVD, CHD and stroke. CONCLUSIONS: Substituting pure fruit juice for SSB was associated with lower cardiometabolic risk, whereas substituting pure fruit juice for fruit was not associated with cardiometabolic risk.

Residential exposure to fast-food restaurants and its association with diet quality, overweight and obesity in the Netherlands: a cross-sectional analysis in the EPIC-NL cohort.

BACKGROUND: Unhealthy food environments may contribute to unhealthy diets and risk of overweight and obesity through increased consumption of fast-food. Therefore, we aimed to study the association of relative exposure to fast-food restaurants (FFR) with overall diet quality and risk of overweight and obesity in a sample of older adults. METHODS: We analyzed cross-sectional data of the EPIC-NL cohort (n = 8,231). Data on relative FFR exposure was obtained through linkage of home address in 2015 with a retail outlet database. We calculated relative exposure to FFR by dividing the densities of FFR in street-network buffers of 400, 1000, and 1500 m around the home of residence by the density of all food retailers in the corresponding buffer. We calculated scores on the Dutch Healthy Diet 2015 (DHD15) index using data from a validated food-frequency questionnaire. BMI was categorized into normal weight (BMI < 25), overweight (25 ≤ BMI < 30), and obesity (BMI ≥ 30). We used multivariable linear regression (DHD15-index) and multinomial logistic regression (weight status), using quartiles of relative FFR exposure as independent variable, adjusting for lifestyle and environmental characteristics. RESULTS: Relative FFR exposure was not significantly associated with DHD15-index scores in the 400, 1000, and 1500 m buffers (ßQ4vsQ1= -0.21 [95 %CI: -1.12; 0.70]; ßQ4vsQ1= -0.12 [95 %CI: -1.10; 0.87]; ßQ4vsQ1 = 0.37 [95 %CI: -0.67; 1.42], respectively). Relative FFR exposure was also not related to overweight in consecutive buffers (ORQ4vsQ1=1.10 [95 %CI: 0.97; 1.25]; ORQ4vsQ1=0.97 [95 %CI: 0.84; 1.11]; ORQ4vsQ1= 1.04 [95 %CI: 0.90-1.20]); estimates for obesity were similar to those of overweight. CONCLUSIONS: A high proportion of FFR around the home of residence was not associated with diet quality or overweight and obesity in this large Dutch cohort of older adults. We conclude that although the food environment may be a determinant of food choice, this may not directly translate into effects on diet quality and weight status. Methodological improvements are warranted to provide more conclusive evidence.

Protein intake pattern over the day and its association with low total protein intake in Dutch community-dwelling older adults.

OBJECTIVE: Investigate protein intake patterns over the day and their association with total protein intake in older adults. DESIGN: Cross-sectional study utilising the dietary data collected through two non-consecutive, dietary record-assisted 24-h recalls. Days with low protein intake (n 290) were defined using the RDA (<0·8 g protein/kg adjusted BW/d). For each day, the amount and proportion of protein ingested at every hour of the day and during morning, mid-day and evening hours was calculated. Amounts and proportions were compared between low and high protein intake days and related to total protein intake and risk of low protein intake. SETTING: Community. PARTICIPANTS: 739 Dutch community-dwelling adults ≥70 years. RESULTS: The mean protein intake was 76·3 (sd 0·7) g/d. At each hour of the day, the amount of protein ingested was higher on days with a high protein intake than on days with a low protein intake and associated with a higher total protein intake. The proportion of protein ingested during morning hours was higher (22 v. 17 %, P < 0·0001) on days with a low protein intake, and a higher proportion of protein ingested during morning hours was associated with a lower total protein intake (P < 0·0001) and a higher odds of low protein intake (OR 1·04, 95 % CI 1·03, 1·06). For the proportion of protein intake during mid-day or evening hours, opposite but weaker associations were found. CONCLUSIONS: In this sample, timing of protein intake was associated with total protein intake. Additional studies need to clarify the importance of these findings to optimise protein intake.

Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries.

OBJECTIVE: To determine if the Food Standards Agency nutrient profiling system (FSAm-NPS), which grades the nutritional quality of food products and is used to derive the Nutri-Score front-of-packet label to guide consumers towards healthier food choices, is associated with mortality. DESIGN: Population based cohort study. SETTING: European Prospective Investigation into Cancer and Nutrition (EPIC) cohort from 23 centres in 10 European countries. PARTICIPANTS: 521 324 adults; at recruitment, country specific and validated dietary questionnaires were used to assess their usual dietary intakes. A FSAm-NPS score was calculated for each food item per 100 g content of energy, sugars, saturated fatty acids, sodium, fibre, and protein, and of fruit, vegetables, legumes, and nuts. The FSAm-NPS dietary index was calculated for each participant as an energy weighted mean of the FSAm-NPS score of all foods consumed. The higher the score the lower the overall nutritional quality of the diet. MAIN OUTCOME MEASURE: Associations between the FSAm-NPS dietary index score and mortality, assessed using multivariable adjusted Cox proportional hazards regression models. RESULTS: After exclusions, 501 594 adults (median follow-up 17.2 years, 8 162 730 person years) were included in the analyses. Those with a higher FSAm-NPS dietary index score (highest versus lowest fifth) showed an increased risk of all cause mortality (n=53 112 events from non-external causes; hazard ratio 1.07, 95% confidence interval 1.03 to 1.10, P<0.001 for trend) and mortality from cancer (1.08, 1.03 to 1.13, P<0.001 for trend) and diseases of the circulatory (1.04, 0.98 to 1.11, P=0.06 for trend), respiratory (1.39, 1.22 to 1.59, P<0.001), and digestive (1.22, 1.02 to 1.45, P=0.03 for trend) systems. The age standardised absolute rates for all cause mortality per 10 000 persons over 10 years were 760 (men=1237; women=563) for those in the highest fifth of the FSAm-NPS dietary index score and 661 (men=1008; women=518) for those in the lowest fifth. CONCLUSIONS: In this large multinational European cohort, consuming foods with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher mortality for all causes and for cancer and diseases of the circulatory, respiratory, and digestive systems, supporting the relevance of FSAm-NPS to characterise healthier food choices in the context of public health policies (eg, the Nutri-Score) for European populations. This is important considering ongoing discussions about the potential implementation of a unique nutrition labelling system at the European Union level.

Are our diets getting healthier and more sustainable? Insights from the European Prospective Investigation into Cancer and Nutrition - Netherlands (EPIC-NL) cohort.

OBJECTIVE: To identify differences in dietary quality, dietary greenhouse gas (GHG) emissions and food consumption over 20 years in a Dutch cohort. DESIGN: Participants (n 8932) filled out an FFQ in 1993-1997 and in 2015. The Dutch Healthy Diet index 2015 (DHD15-index) score, GHG emissions and consumption of food groups (g/4184 kJ (1000 kcal)) were compared between the time points with paired t tests. SETTING: The Netherlands. PARTICIPANTS: European Prospective Investigation into Cancer and Nutrition - Netherlands (EPIC-NL) cohort, aged 18-65 years at baseline. RESULTS: Total energy intake decreased by -678 (95 % CI -4908, 3377) kJ/d (-162 (95 % CI -1173, 807) kcal/d) for men and -372 (95 % CI -3820, 3130) kJ/d (-89 (95 % CI -913, 748) kcal/d) for women. DHD15-index scores increased by 11 % (from 64·8 to 71·9 points) and 13 % (from 65·2 to 73·6 points) in men and women, respectively (P < 0·0001), mainly due to an increased (shell)fish and nuts/seeds/nut paste consumption. After energy intake adjustment, dietary-related GHG emissions increased by 5 % in men (2·48-2·61 kg CO2-eq/4184 kJ (1000 kcal), P < 0·0001) and were similar in women (0·4 %, 2·70-2·71 kg CO2-eq/4184 kJ (1000 kcal), P = 0·3930) due to the increased consumption of (shell)fish, nuts/seeds/nut paste, poultry and higher GHG-intensive red meats such as beef. CONCLUSIONS: This Dutch cohort analyses showed more healthy diets without mitigated GHG emissions over a 20-year period, at similar energy intakes. Higher consumption of (shell)fish and poultry was not yet at the expense of red and processed meat. Lower consumption of animal-based foods is needed to achieve healthier as well as environmentally friendly diets.

Shift workers have a similar diet quality but higher energy intake than day workers.

OBJECTIVE: Shift work is associated with adverse health outcomes, and an unhealthy diet may be a contributing factor. We compared diet quantity and quality between day and shift workers, and studied exposure-response relationships regarding frequency of night shifts and years of shift work. METHODS: Cross-sectional general population data from the European Prospective Investigation into Cancer and Nutrition-Netherlands (EPIC-NL) cohort was used. Dietary intake was assessed in 1993-1997 among adults aged 20-70 years using a food frequency questionnaire. We calculated energy intake, the Mediterranean Diet Score (MDS) and WHO-based Healthy Diet Indicator (HDI). In 2011-2014, we retrospectively identified 683 shift workers and 7173 day workers in 1993-1997. Using multivariable-adjusted linear regression analysis, we estimated regression coefficients (ß) and 95% confidence intervals (95% CI) of the differences in dietary intake between day and shift workers. RESULTS: Shift workers had a higher energy intake than day workers (ß:56 kcal/d, 95% CI 10-101), and a higher consumption of grains, dairy products, meat and fish (P<0.05). The difference in energy intake was largest for shift workers with ≥5 night shifts/month. They consumed 103 kcal/d (95% CI 29-176) more than day workers. No associations were found with MDS and HDI. CONCLUSION: Shift workers and particularly those with a high frequency of night shifts had a higher energy intake than day workers. Regardless of number of night shifts and years of shift work, shift workers had similar diet quality as day workers. This suggests that increased energy intake among shift workers may contribute to shift work-induced adverse health outcomes.

Effect of including nonfatal events in cardiovascular risk estimation, illustrated with data from The Netherlands.

AIMS: European physicians use SCORE risk charts to predict a patient's 10-year risk of cardiovascular diseases (CVD) mortality. We examined whether the inclusion of nonfatal events improved risk estimation and the identification of high-risk persons. METHODS AND RESULTS: In the EPIC-NL cohort, risk factor data were collected between 1993 and 1997 in 6772 men and 9108 women aged 35-65 years. During 10 years of follow up, 540 total (fatal + nonfatal) CVD events occurred, of which 122 (23%) were fatal. Risk equations were developed using Cox proportional hazard models. Discriminating ability and hazard ratios for CVD risk factors did not differ between the two endpoints. Absolute risks for total CVD were approximately 4-fold higher than for CVD mortality. Using the current 5% CVD mortality threshold or the 22% total CVD threshold for identification of high-risk persons leaves more than 84% of all male and 98% of all female future cases untreated. Of those exceeding these thresholds, 20% and 27% of the men, respectively, and 16% and 19% of women will get a CVD event in the next 10 years. Cut-off points of 2% for CVD mortality, corresponding to 10% for total CVD, will identify high-risk persons of whom approximately 10% will get an event in the next 10 years. CONCLUSION: CVD mortality comprises a quarter of all total CVD events. Risk functions and the discriminating ability did not differ between the two endpoints. Cut-off points of 2% for CVD mortality or 10% for total CVD could be considered to identify high-risk persons.

Dietary n-3 and n-6 polyunsaturated fatty acid intake interacts with FADS1 genetic variation to affect total and HDL-cholesterol concentrations in the Doetinchem Cohort Study.

BACKGROUND: The delta-5 and delta-6 desaturases, encoded by the FADS1 and FADS2 genes, are rate-limiting enzymes in polyunsaturated fatty acid (PUFA) biosynthesis. Single nucleotide polymorphisms in the FADS gene cluster region have been associated with both PUFA concentrations in plasma or erythrocyte membrane phospholipids and cholesterol concentrations in recent genome-wide association studies. OBJECTIVE: We examined whether genetic variations in the FADS gene cluster region interact with dietary intakes of n-3 (omega-3) and n-6 (omega-6) PUFAs to affect plasma total, HDL-, and non-HDL-cholesterol concentrations. DESIGN: Dietary intakes of n-3 and n-6 PUFAs, plasma concentrations of total and HDL cholesterol, and rs174546, rs482548, and rs174570 in the FADS gene cluster region were measured in 3575 subjects in the second survey of the Doetinchem Cohort Study. RESULTS: Significant associations between rs174546 genotypes and total and non-HDL-cholesterol concentrations were observed in the group with a high intake of n-3 PUFAs (> or =0.51% of total energy; P = 0.006 and 0.047, respectively) but not in the low-intake group (P for interaction = 0.32 and 0.51, respectively). The C allele was associated with high total and non-HDL-cholesterol concentrations. Furthermore, the C allele was significantly associated with high HDL-cholesterol concentrations in the group with a high intake of n-6 PUFAs (> or =5.26% of total energy, P = 0.004) but not in the group with a low intake (P for interaction = 0.02). CONCLUSION: Genetic variation in the FADS1 gene potentially interacts with dietary PUFA intakes to affect plasma cholesterol concentrations, which should be investigated further in other studies.