This study aimed to assess the extent to which first-morning void (FMV) urine samples can estimate sodium and potassium excretion compared with 24-hour (24-h) urine samples at the population level. We conducted a cross-sectional study collecting urine samples (FMV and 24-h) and two non-consecutive 24-h dietary recalls in a sub-sample from the Portuguese IAN-AF sampling frame. Six predictive equations were used to estimate 24-h sodium and potassium excretion from FMV urine samples. Pearson correlation coefficients were calculated to compare the association between FMV and 24-h urine collections. Cross-classifications into tertiles were computed to calculate the agreement between measured and estimated excretion with and without calibration. Pearson correlation coefficients were calculated to compare the excretion estimation from FMV and reported intake from 24-h dietary recalls. Bland–Altman plots assessed the agreement between two-day dietary recall and the best-performing calibrated equation. Data from eighty-six subjects aged 18–84 were analysed. Estimated sodium and potassium concentrations from the predictive equations moderate or strongly correlated with the measured 24-h urine samples. The Toft equation was the most predictive and reliable, displaying a moderate correlation (r=0.655) with no risk of over or underestimation of sodium excretion (p=0.096). Tanaka and Kawasaki equations showed a similar moderate correlation (r=0.54 and r=0.58, respectively) but tended to underestimate the 24-h urine excretion of potassium (p<0.001). Calibrated predictive equations using FMV urine samples provide a moderately accurate alternative and resource-efficient option for large-scale nutritional epidemiology studies when 24-h urine collection is impractical.

Maternal health and nutrition in early pregnancy play a vital role in the growth and development of the foetus. During this time, macro and micronutrients contribute to nutritional programming, which helps form the foundations of the foetus’s life course health outcomes. This study aimed to investigate dietary habits, macro and micronutrient intake, micronutrient status, and folic acid supplement adherence among Emirati pregnant women in their first trimester. Data were collected according to the UAE-BCS study protocol, which was set up to investigate maternal nutrition, health, child growth, and developmental outcomes within the first 1000 days. Pregnant Emirati women with singleton pregnancies within their first trimester of pregnancy (between 8 and 12 weeks of gestation) were enrolled. The 24-hour food recall method was administered to collect dietary intake. The maternal mean average age was 29 years. Participants had high adherence to supplementation during pregnancy compared to preconception. The mean energy intake was 1345kcal, and 56% of participants consumed saturated fats above the acceptable macronutrient distribution ranges (AMDR), while 94% consumed below AMDR for total fibre. The consumption of micronutrients was below the recommended dietary allowance (RDA). Biochemical results show a high prevalence of low haemoglobin (74%) and deficiencies in vitamin D (39%) and vitamin E (96%). There is a need for research into dietary patterns and influences in pregnant women in the UAE. Furthermore, investigations of knowledge practices and attitudes towards supplementation and the factors contributing to folic acid supplement use are needed to inform government strategies and interventions.

South Asians are among the fastest-growing immigrant population group in the United States (U.S.) with a unique disease risk profile. Due in part to immigration and acculturation factors, South Asians engage differently with behavioural risk factors (e.g. smoking, alcohol intake, physical activity, sedentary behaviour, and diet) for hypertension, which may be modified for the primary prevention of cardiovascular disease. Using data from the Mediators of Atherosclerosis in South Asians Living in America cohort, we conducted a cross-sectional analysis to evaluate the association between behavioural risk factors for cardiovascular disease and diet. We created a behavioural risk factor score based on smoking status, alcohol consumption, physical activity, and TV watching. We also calculated a Dietary Approaches to Stop Hypertension (DASH) dietary score based on inclusion of relevant dietary components. We used both scores to examine the association between engaging with risk factors for hypertension and the DASH diet among a cohort of South Asian adults. We found that participants with 3–4 behavioural risk factors had a DASH diet score that was 3 units lower than those with no behavioural risk factors (aβ: –3.25; 95% CI: –4.28, –2.21) and were 86% less likely to have a DASH diet score in the highest category compared to the lowest DASH diet score category (aOR: 0.14; 95% CI: 0.05, 0.37) in the fully adjusted models. These findings highlight the relationship between behavioural risk factors for hypertension among South Asians in the U.S.

Children and adolescents diagnosed with autism spectrum disorder (ASD) present feeding problems that may influence food acceptance and refusal. However, data regarding dietary intake variability in this population are either not available in the literature or not well-known. This cross-sectional study aimed to identify the within-person and between-person variability, and the number of days needed for a 24-hour recall (24HR) to estimate the usual intake of children and adolescents with ASD. Data were collected from 284 patients assisted at a public neuropediatric health service in the city of Pelotas, Southern Brazil. Food consumption was assessed using three non-consecutive 24HR. Within-person (S2w) and between-person (S2b) variances, the variance ratio (VR) and the distribution of energy, macronutrients and micronutrients were obtained using the Multiple Source Method® (version 1.0.1). The number of days of 24HR needed was calculated for correlation coefficients of 0·7, 0·8 and 0·9. For most nutrients, S2w was greater than S2b, resulting in VR > 1, except for age-group analyses where children up to 5 years old showed VR < 1. Two to three days of 24HR were estimated for most nutrients, considering a correlation coefficient of 0·8. Differences were observed according to sex and age group, with adolescents requiring more days of 24HR. These findings indicate the need to assess dietary variability among individuals with ASD according to the characteristics of this investigated population.

Rewards are rewarding owing to their hedonic or metabolic value. Individual differences in sensitivity to rewards are predictive of mental health problems but may reflect variation in metabolic types. We have assessed the association of two distinguishable aspects of reward sensitivity, openness to rewards (the striving towards multiple rewards) and insatiability by reward (the strong pursuit and fixation to a particular reward), with measures of metabolism and activity in a longitudinal study of representative birth cohort samples. We used data of the Estonian Children Personality Behaviour and Health Study (original n = 1238) collected at age 15, 18 and 25. Reward sensitivity and physical activity were self-reported during a laboratory visit, when also blood sampling, measurement of blood pressure, height and weight, aerobic exercise testing and the diet interview, after the participants had kept food diary, took place. In the younger cohort, physical activity was also assessed by accelerometry at age 18 and 25. Across adolescence and young adulthood, openness to rewards was positively associated with physical activity and negatively with blood pressure and serum levels of glucose, insulin and cholesterol levels. In contrast, insatiability by reward was positively associated with serum triglyceride levels and negatively with energy intake and cardiorespiratory fitness. In conclusion, the two facets of reward sensitivity have a fairly different association with a variety of metabolic and health-related measures. This may explain the variable findings in literature, and suggests that individual differences in reward sensitivity are part of a complex physiological variability, including energy expenditure profiles.

The present study investigated the relationships between maternal characteristics and subjective well-being (life satisfaction and optimism) among overweight Brazilian adult pregnant women. A cross-sectional study utilising baseline data from a randomised controlled clinical trial was conducted. A total of 330 women were investigated. Maternal characteristics (sociodemographic, obstetric and lifestyle) were obtained through a structured questionnaire. Data on dietary intake were collected through two 24-h dietary recalls, and the usual diet was estimated using the Multiple Source Method. Life satisfaction and optimism were assessed using validated instruments. Both unadjusted and adjusted linear regression models were employed to investigate the relationship between maternal characteristics and subjective well-being. Sleep quality was found to be positively associated with life satisfaction. Miscarriage and smoking during pregnancy were negatively associated with this sentiment. Additionally, a positive association was observed between optimism and maternal characteristics such as sleep quality, desired pregnancy and alcohol consumption in the previous 30 d. Furthermore, it was found that the consumption of sugary drinks, dietary fibre and Ca were positively associated with this same feeling. The present study showed that some maternal and food consumption characteristics were associated with subjective well-being among overweight pregnant women. It is, therefore, essential to recognise predictors of maternal mental health given their relevance to the field of public health.

Interventions aiming to reduce social inequalities of weight status in adolescents usually focus on lifestyle behaviours, but their effectiveness is limited. This study analysed the effect of achieving levels of dietary intake (DI) and/or physical activity (PA) guidelines on reducing social inequalities in weight status among adolescents. We included adolescents from the PRomotion de l’ALIMentation et de l’Activité Physique – INÉgalité de Santé (PRALIMAP-INÈS) trial with weight status data available at baseline and 1-year follow-up (n 1130). PA and DI were measured using the International Physical Activity Questionnaire and a validated FFQ, respectively. We estimated the likelihood of a 1-year reduction in BMI z-score (BMIz) and population risk difference (PRD) under hypothetical DI and PA levels and socio-economic status using the parametric G-formula. When advantaged and less advantaged adolescents maintained their baseline DI and PA, we found social inequalities in weight status, with a PRD of a 1-year reduction in BMIz of −1·6 % (–3·0 %, −0·5 %). These inequalities were not observed when less advantaged adolescents increased their proportion of achieving DI guidelines by 30 % (PRD = 2·2 % (–0·5 %, 5·0 %)) unlike the same increase in PA (PRD = −3·9 % (–6·8 %, −1·3 %)). Finally, social inequalities of weight status were not observed when levels of achievement of both PA and DI guidelines increased by 30 % (PRD = 2·2 % (–0·5 %, 4·0 %)). Enhancing DI rather than PA could be effective in reducing social inequalities in weight status among adolescents. Future interventions aiming to reduce these inequalities should mostly target DI to be effective.

This cross-sectional study aims to describe and compare energy, nutrient intake and food consumption according to eating location and by age groups using data from the National Food, Nutrition and Physical Activity Survey (IAN-AF 2015/2016). Dietary intake was estimated by two non-consecutive days of food diaries (children)/24-h recalls (other age groups), and four eating location categories were defined according to the proportion of meals consumed at out-of-home locations: Home (at least 80 % of meals at home), Other Homes, School or Work and Restaurants and Other Places. The majority of meals (69·1 %) were consumed at home. Meals were also often taken at school by children and adolescents and in restaurants and similar outlets by adults and elderly. Children and adolescents in the School or Work category ate more fruit, vegetables and pulses and cereals and starchy tubers, whereas adults in this category ate more red and processed meats, sugar-sweetened beverages and sweets. Compared with Home category, Restaurants and Other Places was associated with worse diet adequacies among children (β = –1·0; 95 % CI = –2·0, −0·04), adolescents: (β = –2·4; 95 % CI = –3·2, −1·5) and adults (β = –1·3; 95 % CI = –1·6, −1·0) reflecting higher intakes of energy, fat, trans-fatty acids and SFA, and Na. The elderly consumed more free sugars and fat when eating out of home in general. Overall, findings reflect important variation in nutrient profiles by eating location, with meals taken at school or work contributing to higher consumption of nutrient-dense foods and those taken in restaurants and other similar settings implying higher consumption of energy-dense foods.

Food insecurity, the inadequate or insecure access to food due to financial constraints, is a growing concern in high-income countries like Australia(1). Food insecure adults may have reduced diet quality due to constraints on food purchasing and consumption(2) but further research is needed to understand how the severity of food insecurity impacts diet quality in an Australian setting. This study aimed to examine the relationship between diet quality and increasing severity of household food insecurity using validated measurement tools. A cross-sectional, online survey of Australian adults (aged 18 years+) used the USDA Household Food Security Six-item Short Form to classify respondents as food secure or marginally, moderately, or severely food insecure. The Australian Recommended Food Score (ARFS; score between 0–73) determined diet quality (ARFS total) and sub-scale scores for eight food groups(3), with higher scores indicating higher diet quality. Diet quality score results are further categorised as “needs work” (<33), “getting there” (33-38), “excellent” (39-46) or “outstanding” (47+). Survey-weighted linear regression (adjusted for age, sex, income, education, location, household composition) analyses indicate that 45% of participants were living in households that experienced food insecurity, comprising 7% marginally, 18% moderately and 20% severely food insecure households. The ARFS total survey-weighted mean score for the whole sample (n = 804) was 32.4 (SD = 9.8). As the severity of household food insecurity increased, ARFS scores decreased. Marginally food insecure respondents reported a mean ARFS score three points lower than food-secure adults (B=-2.7; 95%CI [−5.11, −0.34]; p = 0.03), and scores reduced by six points for moderately (B=-5.6; 95%CI [−7.26, −3.90]; p<0.001) and twelve points for severely food insecure respondents (B=-11.5; 95%CI [−13.21, −9.78]; p<0.001). Marginally food insecure respondents had significantly lower vegetable sub-scale scores, moderately food insecure respondents had significantly lower sub-scale scores for all food groups except dairy, severely food insecure respondents had significantly lower scores for all sub-scale scores. Poorer diet quality is evident in adults living with any food insecurity but gets progressively worse as the severity of food insecurity increases. Interventions to reduce food insecurity and increase diet quality are required to prevent adverse nutrition-related health outcomes in food-insecure populations in Australia and beyond.

Osteoporosis is a degenerative disease of the bone. The rate of bone loss is accelerated during the first postmenopausal years in women which results in their disproportionate prevalence of osteoporosis(2). Some of the factors contributing to the development and maintenance of bone mineral density (BMD) relate to diet, particularly the intake of protein, calcium and other micronutrients that play a crucial role in bone composition(3). The most common method of measuring BMD is dual-energy X-ray absorptiometry (DXA) which generates a two-dimensional image of the scan site (typically spine, hip and/or forearm) to determine areal BMD (aBMD). However, new methods have recently emerged, including High Resolution peripheral Quantitative Computed Tomography (HRpQCT), that offer more accurate three-dimensional measurements of volumetric BMD (vBMD) and microstructure of distal tibia and radius(4). The aim of this study was to examine the differences in the dietary intake of nutrients that represent organic or inorganic components of the bone, in early postmenopausal women with different spine aBMD and tibia and radius vBMD levels. One hundred and fourteen healthy early postmenopausal women with a lumbar spine or total hip BMD T score > −2.5 (measured by DXA) were recruited as part of a larger interventional study. Dietary intake was recorded using a 297-point self-reported validated food frequency questionnaire(5) for assessing the intake of energy, macro and micronutrients. Physical activity was self-reported using the validated Active Australia Questionnaire. Years since menopause were self-reported. DXA and HRpQCT scans measured L1-L4 spine, proximal femur aBMD, and distal tibia and radius vBMD respectively. Non-parametric statistical tests examined differences in dietary intake and physical activity levels between women at different levels of aBMD and vBMD. Data reported as median and interquartile ranges. There were no significant differences observed in the total sample between tertiles of aBMD and vBMD, regarding nutrient intake. However, for women with less than 3 years since menopause (i.e., the time-period of accelerated bone loss), lower dietary intakes of energy [8,658(3,324) vs 10,068(3,688) kJ/day; p = 0.047], protein [94(29) vs 103(32) g/day; (p = 0.044)], sodium [1,927(992) vs 2,625(2,185) mg/d; (p = 0.044)], potassium [4,064(1,373) vs 5,121(2,377) mg/d; (p = 0.041)], calcium [969(325) vs 1,214(652) mg/d; (p = 0.028)] and zinc [10(3) vs 12(4) mg/d; (p = 0.005)] were observed for women with osteopenia (−1< L1-L4 aBMD T-score <2.5) compared to those with normal L1-L4 aBMD (i.e., T-score > −1). No significant differences were observed for women with more than 3 years since menopause, with the only exception of alcohol intake (p = 0.033), which was found to be lower in women with osteopenia compared to those with normal aBMD. These findings highlight the importance of targeting osteopenic women within the first 3 years following menopause as candidates for tailored dietary intervention programs for preventing osteoporosis.

Carotenoids, a group of phytochemicals found in plant-based foods with yellow, red, or orange pigments, have been shown to be stored in the skin upon consumption of carotenoid-rich foods(1). Skin carotenoid levels can be measured using skin reflectance spectroscopy, which assesses skin lightness (L*), redness (a*), and yellowness (b*)(2). Previous research has demonstrated significant increases in skin yellowness (b*) after a 4-week high-carotenoid diet(2). The aim was to examine shorter-term changes (two weeks) in skin yellowness following the consumption of a Healthy Australian Diet rich in carotenoids compared to a Typical Australian Diet with low carotenoid content. The study analysed data from an eight-week randomised, cross-over feeding trial involving 34 adults (53% female, aged 38.44 ± 18.05 years). Participants were randomly assigned to each diet for two weeks, separated by a two-week washout period. The Healthy Australian Diet adhered to the Australian Dietary Guidelines(3), emphasising the consumption of carotenoid-rich fruits and vegetables such as carrots, pumpkin, tomatoes, red capsicum, and sweet potatoes. In contrast, the Typical Australian Diet was formulated based on apparent consumption patterns in Australia(4) and emphasised the intake of fruits and vegetables low in beta-carotene, such as white potatoes, onions, cauliflower, and pears. Skin carotenoids were measured using skin reflectance spectroscopy at three sites (palm, inner and outer arm), and each measurement was taken thrice. Overall skin yellowness (b*) was calculated as the average of all three measurements at all three sites. Measurements were conducted at four key visits: week 0 (end of run-in; baseline 1), week 2 (post-feeding phase 1), week 4 (end of washout; baseline 2), and week 8 (post-feeding phase 2). Differential changes in skin carotenoid levels between intervention groups were assessed using linear mixed-effect models, adjusting for diet sequence, feeding phase, body fat percentage, total fat intake, and subject ID as a random variable to account for potential autocorrelation. Post-hoc pairwise comparisons were conducted to evaluate the relative effects of each diet. Although there was a trend towards higher skin yellowness (0.215 ± 0.517; p = 0.41) following consumption of the Healthy Australian diet relative to baseline, and an inverse trend following the Typical Australian Diet (−0.118 ± 0.539, p = 0.56), the difference in change between the two diets was not statistically significant (p = 0.32). Notably, baseline values within this participant cohort were higher than previously reported at b* = 16.7(1) (baseline 1 b*: 17.57 ± 2.23, baseline 2 b*: 17.71 ± 2.26), which may influence the magnitude of observable change. The findings suggest that the two-week intervention duration may be insufficient to achieve statistically significant changes in skin carotenoid levels. Future investigations into whether plasma carotenoids increase first, with skin changes occurring later, could offer valuable insights into the potential utility of this as a biomarker validation of change in fruit and vegetable intake.