Low-grade subclinical inflammation is interrelated with metabolic diseases, and its susceptibility interacts with genetic and environmental factors. We aimed to examine genetic variants related to a high risk for inflammation using serum C-reactive protein (CRP) concentration, interactions among the genetic variants and the genetic variant interaction with dietary and lifestyle factors in adults. The participants were divided into case and control by serum CRP concentrations: ≥ 0·5 mg/dl (case; n 2018) and < 0·5 mg/dl (control; n 47 185). Genetic variants contributing to high inflammation risk were selected using GWAS after adjusting covariates to influence inflammation, and genetic variant–genetic variant interactions were identified by generalised multifactor dimensionality reduction analysis. Polygenetic-risk scores (PRS) were constructed from the selected genetic variants, and PRS–nutrient interactions for the high inflammation risk were determined. The PRS included CRP_rs1205, OASL_rs3213545, APOE_rs429358, HNF1A_rs1169286, APOC1_rs7256200 and SLC13A3_rs424697. The PRS was positively associated with serum CRP concentration by 2·0 times after adjusting for covariates. The PRS interacted with age: older participants with High-PRS had much higher serum CRP concentrations than those with Low-PRS. Intake of carbohydrates, MUFA and vitamin D exhibited an interaction with PRS for inflammation risk (P < 0·05). In participants with high-carbohydrate/low-fat diets and low vitamin D intakes, those with High-PRS had a higher risk of serum CRP concentrations than those with Low-PRS. In conclusion, the participants with inflammation-related PRS potentially worsened inflammation status, especially in diets with high carbohydrates, low fat (especially MUFA) and low vitamin D. These results can be applied to personalised nutrition to reduce inflammation risk.

The European Food Safety Authority has suggested that EU countries implement the 2 × 24 h diet recall (2 × 24 h DR) method and physical activity (PA) measurements for national dietary surveys. Since 2000, Denmark has used 7 d food diaries (7 d FD) with PA questionnaires and measurements. The accuracy of the reported energy intakes (EI) from the two diet methods, pedometer-determined step counts and self-reported time spent in moderate-to-vigorous PA (MVPA) were compared with total energy expenditure measured by the doubly labelled water (TEEDLW) technique and with PA energy expenditure (PAEE), respectively. The study involved fifty-two male and sixty-eight female volunteers aged 18–60 years who were randomly assigned to start with either the 24 h DR or the web-based 7 d FD, and wore a pedometer for the first 7 d and filled in a step diary. The mean TEEDLW (11·5 MJ/d) was greater than the mean reported EI for the 7 d FD (9·5 MJ/d (P < 0·01)) but the same as the 2 × 24 h DR (11·5 MJ/d). The proportion of under-reporters was 34 % (7 d FD) and 4 % (2 × 24 h DR). Most participants preferred the 7 d DR as it was more flexible, despite altering their eating habits. Pearson’s correlation between steps corrected for cycling and PAEE was r = 0·44, P < 0·01. Spearman’s correlation for self-reported hours spent in MVPA and PAEE was r = 0·58, P < 0·01. The 2 × 24 h DR performs better than the existing 7 d FD method. Pedometer-determined steps and self-reported MVPA are good predictors of PAEE in adult Danes.

Mexico is going through an environmental and nutritional crisis related to unsustainable dietary behaviours. Sustainable diets could solve both problems together. This study protocol aims to develop a three-stage, 15-week mHealth randomised controlled trial of a sustainable-psycho-nutritional intervention programme to promote Mexican population adherence to a sustainable diet and to evaluate its effects on health and environmental outcomes. In stage 1, the programme will be designed using the sustainable diets, behaviour change wheel and capability, opportunity, motivation, and behaviour (COM-B) models. A sustainable food guide, recipes, meal plans and a mobile application will be developed. In stage 2, the intervention will be implemented for 7 weeks, and a 7-week follow-up period in a young Mexican adults (18–35 years) sample, randomly divided (1:1 ratio) into a control group (n 50) and an experimental group (n 50), will be divided into two arms at week 8. Outcomes will include health, nutrition, environment, behaviour and nutritional-sustainable knowledge. Additionally, socio-economics and culture will be considered. Thirteen behavioural objectives will be included using successive approaches in online workshops twice a week. The population will be monitored using the mobile application consisting of behavioural change techniques. In stage 3, the effects of the intervention will be assessed using mixed-effects models on dietary intake and quality, nutritional status, physical activity, metabolic biomarkers (serum glucose and lipid profile), gut microbiota composition and dietary water and carbon footprints of the evaluated population. Improvements in health outcomes and a decrease in dietary water and carbon footprints are expected.

A healthy diet and regular physical activity (PA) are delineated as healthy behaviours. Their implementation is associated with better health outcomes and improved quality of life. There is less evidence of a relationship between dietary patterns (DP) and PA, especially in adults aged ≥ 85. Hence, this cross-sectional study investigates the association between DP and PA in people of this age group, using the data from The Kawasaki Aging and Well-Being Project. Brief-type self-administered diet history questionnaire was used to estimate the intake of fifty-eight types of food. After energy adjustment, principal component analysis was performed to identify DP. PA was measured objectively using an accelerometer and subjectively using a questionnaire validated for this age group. Thousand participants (median age: 86·9 years, men: 49·9 %) were included in the analysis. Three major DP (DP1 ‘various foods’, DP2 ‘red meats and coffee’, DP3 ‘bread and processed meats’) were identified. DP1 ‘various foods’ was similar to DP previously named ‘healthy’ or ‘prudent’ and showed a positive association with PA time (PAT) as measured by accelerometer (B, 6·25; 95 % CI 0·13, 12·37) and relatively shorter sedentary behaviour (SB) time. DP2 ‘red meats and coffee’ and DP3 ‘bread and processed meats’ were negatively associated with PAT and positively associated with SB time. This study observed the relationship between diet and PA behaviours in adults aged ≥ 85, with healthier and more food-diverse DP associated with longer PAT and relatively unhealthy DP with shorter PAT.

The information included on food packages has a crucial role in influencing consumer product associations and purchase decisions. In particular, visual and textual cues on processed and ultra-processed products can convey health-related associations that influence consumer healthiness perception and purchase decisions. In this context, the present work aimed to explore the use of health-related cues on the packages of processed and ultra-processed products sold in Uruguay to provide insights for policy making. A total of 3813 products from thirty-four different food categories found in four of the most important supermarket chains in Uruguay were surveyed. The textual and visual information included on the packages as well as the nutritional composition of the products were analysed. Results showed that 67 % of the products included at least one health-related cue. Pictures of culinary ingredients, natural and minimally processed foods were the most frequent health-related cue, followed by references to naturalness and claims related to critical nutrients. The prevalence of health-related cues largely differed across product categories, ranging from 100 to 17 %. The relationship between the presence of health-related cues on the packages and the excessive content of nutrients associated with non-communicable diseases was assessed using a gradient boosting model, which showed limited predictive ability. This suggests that the inclusion of health-related cues on food packages was not strongly related to the nutritional composition of products and therefore cannot be regarded as a healthiness indicator. These results stress the need to develop stricter labelling regulations to protect consumers from misleading information.

The role of legumes in healthy and sustainable diets is increasingly of interest. Few studies have investigated the association between legume consumption and the consumption of other food groups and the intake of nutrients. This study examined how legume consumption is associated with the consumption of other foods and the intake of nutrients among Finnish adults. Our study used cross-sectional data from the population-based FinHealth 2017 Study consisting of 2250 men and 2875 women aged ≥18 years. The associations between legume consumption (quartile classification), food groups and nutrients were analysed using multivariable linear regression. The models were initially adjusted for energy intake and additionally for age, educational level, smoking status, leisure-time physical activity and BMI. Legume consumption had a positive association with age, education level and leisure-time physical activity. The consumption of legumes was positively associated with the consumption of fruits and berries, vegetables, nuts and seeds and fish and fish products and inversely associated with the consumption of red and processed meat, cereals and butter and butter-based fat spreads. Furthermore, legume consumption was positively associated with the intake of protein, fibre, folate, thiamine and salt in both sexes and inversely associated with the intake of saturated fatty acids and sucrose (sucrose, women only). Thus, legume consumption appears to reflect overall healthier food choices. An increase in legume consumption could accelerate the transition to more sustainable diets. The confounding role of other foods and nutrients should be considered when studying associations between legume consumption and health outcomes.

Nutritional interventions often rely on subjective assessments of energy intake (EI), but these are susceptible to measurement error. To introduce an accelerometer-based intake-balance method for assessing EI using data from a time-restricted eating (TRE) trial. Nineteen participants with overweight/obesity (25–63 years old; 16 females) completed a 12-week intervention (NCT03129581) in a control group (unrestricted feeding; n 8) or TRE group (n 11). At the start and end of the intervention, body composition was assessed by dual-energy X-ray absorptiometry (DXA) and daily energy expenditure (EE) was assessed for 2 weeks via wrist-worn accelerometer. EI was back-calculated as the sum of net energy storage (from DXA) and EE (from accelerometer). Accelerometer-derived EI estimates were compared against estimates from the body weight planner of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Mean EI for the control group declined by 138 and 435 kJ/day for the accelerometer and NIDDK methods, respectively (both P ≥ 0·38), v. 1255 and 1469 kJ/day, respectively, for the TRE group (both P < 0·01). At follow-up, the accelerometer and NIDDK methods showed excellent group-level agreement (mean bias of −297 kJ/day across arms; standard error of estimate 1054 kJ/day) but high variability at the individual level (limits of agreement from −2414 to +1824 kJ/day). The accelerometer-based intake-balance method showed plausible sensitivity to change, and EI estimates were biologically and behaviourally plausible. The method may be a viable alternative to self-report EI measures. Future studies should assess criterion validity using doubly labelled water.

Air displacement plethysmography (ADP) has been considered as the ‘standard’ method to determine body fat in children due to superior validity and reliability compared with bioelectrical impedance analysis (BIA). However, ADP and BIA are often used interchangeably despite few studies comparing measures of percentage body fat by ADP (%FMADP) with BIA (%FMBIA) in children with and without obesity. The objective of this study was to measure concurrent validity and reliability of %FMADP and %FMBIA in 6-to-12-year-old boys with and without obesity. Seventy-one boys (twenty-five with obesity) underwent body composition assessment. Ten boys participated in intra-day reliability analysis. %FMADP was estimated by Bodpod using sex- and age-specific equations of body density. %FMBIA was estimated by a multi-frequency, hand-to-foot device using child-specific equations based on impedance. Validity was assessed by t tests, correlation coefficients and limits of agreement (LoA); and reliability by technical error of measurement (TEM) and intraclass correlation coefficients (ICC). Compared with %FMADP, %FMBIA was significantly underestimated in the cohort (–3·4 ± 5·6 %; effect size = 0·42) and in both boys with obesity (–5·2 ± 5·5 %; ES = 0·90) and without obesity (–2·4 ± 5·5 %; ES = 0·52). A strong, significant positive correlation was found between %FMADP and %FMBIA (r = 0·80). Across the cohort, LoA were 22·3 %, and no proportional bias was detected. For reliability, TEM were 0·65 % and 0·55 %, and ICC were 0·93 and 0·95 for %FMBIA and %FMADP, respectively. Whilst both %FMADP and %FMBIA are highly reliable methods, considerable differences indicated that the devices cannot be used interchangeably in boys age 6-to-12 years.