This pilot cross-sectional study, conducted in two public hospitals in Malawi, assessed gestational diabetes mellitus (GDM) in pregnant women attending antenatal clinics and compared their dietary quality and food group consumption before and during pregnancy. The study targeted women aged 18 to 49 years within 24 to 28 weeks of gestation. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Group criteria and assessed dietary quality before and during pregnancy using a 30-day qualitative food frequency questionnaire. We compared changes in dietary quality and specific food group mean scores using paired t-tests at p < 0.05. Of the 508 women enrolled, 22.7% were diagnosed with GDM. The overall diet quality significantly decreased during pregnancy compared to before; a similar trend was observed in women diagnosed with GDM compared to those without GDM (p < 0.0001). Among women with GDM, the mean score of the following food groups significantly (p < 0.05) decreased during pregnancy: cruciferous vegetables, deep orange vegetables and tubers, citrus fruits, deep orange fruits, other fruits, nuts and seeds, poultry, fish, low fat dairy, whole grains, and liquid oils and significantly (p < 0.05) increased in the following food groups; red meat, processed meat, sugar-sweetened beverages, sweets, sugary snacks and ice cream. In conclusion, GDM is prevalent in Malawian women enrolled in this study and is coupled with inadequate dietary quality, especially during pregnancy. Since dietary quality is pivotal to GDM management, more in-depth longitudinal dietary studies are needed to inform nutritional interventions to prevent and better manage GDM.

Inlight of varying outcomes from prior research concerning the relationship between different food groups and the risk of chronic kidney disease (CKD), this study was conducted to examine the relationship between the consumption of various food groups and CKD risk via a dose–dependent meta-analysis of prospective cohort studies. Searches were conducted in the Web of Science, PubMed and Google Scholar databases through January 2025. Out of 6460 publications, twenty-one studies were selected for final analysis. The results revealed that red meat consumption is associated with an increased risk of CKD (RR: 1·39; 95 % CI: 1·13, 1·71). Conversely, consumption of fish (RR: 0·88; 95 % CI: 0·80, 0·97), grains (RR: 0·87; 95 % CI: 0·77, 0·99) and legumes (RR: 0·83; 95 % CI: 0·72, 0·92) showed a protective effect against CKD. The linear dose–response analysis indicated that for every 100 g/d increment in red meat and total meat consumption, the risk of CKD escalated by 34 and 2 %, respectively. Furthermore, an increase of 15 g/d in dietary fish, 28 g/d in nuts and 50 g/d in legumes was associated with a 6, 21 and 13 % decreased risk of CKD, respectively. Overall, higher red meat intake correlates with a heightened CKD risk, whereas the consumption of fish, grains and legumes is associated with a lowered risk. Further longitudinal cohort studies with extended follow-up are recommended to validate our findings.

Adherence to healthy dietary patterns, including fruits, vegetables and whole grains, is linked to improved health outcomes. However, limited research has explored this association in Latin American populations. This study aimed to investigate the association between adherence to a healthy eating score (unweighted and weighted) and all-cause mortality risk in a Chilean population. This longitudinal study included 5336 Chilean participants from the Chilean National Health Survey 2016 and 2017. Six healthy eating habits were considered to produce the healthy eating score (range: 0–12): consumption of seafood, whole grains, dairy products, fruits, vegetables and legumes. A weighted score was also developed. Participants were categorised into quartiles based on their final scores, with the healthiest quartile used as the reference group. Associations between healthy eating score and all-cause mortality were performed using Cox proportional hazard models adjusted for confounders. After a median follow-up of 5·1 years, 276 (5·2 %) participants died. In the fully adjusted model, compared with participants in the healthiest quartile of the score (Q4), those in the unhealthiest quartile (Q1) had 1·61 (95 % CI: 1·14, 2·27) times higher all-cause mortality risk. A similar association was observed for the weighted healthy eating score (1·52 (95 % CI: 1·03, 2·23)). An inverse trend was observed for both scores (P < 0·05). Sensitivity analyses excluding participants who died within the first 2 years showed consistent results 1·63 (95 % CI: 1·09, 2·42). Individuals with the lowest healthy eating score (unweighted or weighted) had a higher mortality risk compared with their counterparts. A healthy eating score is associated with mortality risk in the Chilean population.

With the recent growing interest in improving fruit and vegetable intake for better health and limited research resources in many settings, simple-to-administer and low-priced indicators are essential tools for monitoring fruit and vegetable intake at the population level. A potential candidate indicator is the fruit and vegetable component of the Global Dietary Recommendation score (FV-GDR) based on data collected using the Diet Quality Questionnaire (DQQ). We investigated the relative validity of FV-GDR collected with the DQQ to measure fruit and vegetable intake by comparison with a 24-h recall (24hR) as a reference collected from 620 Vietnamese and 630 Nigerian adults in 2021. We found proportional differences in the prevalence of intake of vitamin A-rich vegetables, other vegetables and other fruits in Vietnam and all vegetable food groups in Nigeria. In both countries, we found a small difference in the total FV-GDR from DQQ compared with the 24hR, and the percentage of agreement between the two methods was quite high for the majority of the food groups. The FV-GDR calculated from the DQQ correlated with the actual intake, although less strongly than the FV-GDR from 24hR. The DQQ is a promising low-burden, low-cost and simple tool to calculate FV-GDR and to monitor fruit and vegetable consumption at the population level. This provides the possibility of evaluating an important aspect of diet quality in low-resource settings.

Plant-based, i.e. vegetarian (without meat and fish) or vegan (exclusively plant-based foods) diets are in trend also among children and adolescents, but data on food intake in this group are lacking. Here, we compare the consumption of food groups of vegetarian (n 145), vegan (n 110) and omnivore (n 135) children and adolescents (6–18 years) in Germany using data of the VeChi Youth Study. Each food item reported in 3 d weighed dietary records was assigned to one of eighteen food groups and individual mean intake per day (g/MJ) was calculated. Group differences were assessed using covariance analyses adjusted for age, sex and other covariates. For food groups with a high number of non-consumers, non-parametric Kruskal–Wallis tests were run. Pairwise comparison of vegetarian and vegan groups indicated significantly higher intakes of legumes, nuts, milk alternatives (all P = 0·0003) and meat alternatives (P = 0·0065) among vegan subjects. Intake of these food groups of omnivore participants was low (Q3:0·0 g/MJ for legumes, milk alternatives and meat alternatives, 0·5 g/MJ for nuts). Dairy intake of vegetarians (11·6 g/MJ) was significantly lower than of omnivore subjects (24·7 g/MJ) (P = 0·0003). Intake of fats/oils and sweet foods was lowest in vegan compared with vegetarian and omnivore participants (P< 0·05). Whole grain intake was higher in vegan participants (14·5 g/MJ) than of vegetarian (9·1 g/MJ) and omnivore (6·5 g/MJ) participants (P = 0·0003). Longitudinal studies are necessary to evaluate the long-term health consequences of vegetarian, vegan and omnivore food patterns, especially in childhood and adolescence.

At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limitations of the study of nutrients and foods in isolation. This article aims to demonstrate the usability of supervised data mining methods to extract the food groups related to BC. In order to derive key food groups associated with BC risk, we applied the data mining technique C5.0 with 10-fold cross-validation in the BLadder cancer Epidemiology and Nutritional Determinants study, including data from eighteen case–control and one nested case–cohort study, compromising 8320 BC cases out of 31 551 participants. Dietary data, on the eleven main food groups of the Eurocode 2 Core classification codebook, and relevant non-diet data (i.e. sex, age and smoking status) were available. Primarily, five key food groups were extracted; in order of importance, beverages (non-milk); grains and grain products; vegetables and vegetable products; fats, oils and their products; meats and meat products were associated with BC risk. Since these food groups are corresponded with previously proposed BC-related dietary factors, data mining seems to be a promising technique in the field of nutritional epidemiology and deserves further examination.

Dietary habits have been implicated in the development and severity of non-alcoholic fatty liver disease (NAFLD). Several epidemiological studies attempted to assess the relationship between food groups and the likelihood of NAFLD, but these results were conflicting. The present meta-analysis was conducted to assess the association between food groups and the likelihood of NAFLD. Published literature was retrieved and screened from MEDLINE, Embase and Web of Science. Out of 7892 retrieved articles, twenty-four observational studies (fifteen cross-sectional studies and nine case–control studies) met our eligibility criteria and were finally included in this systematic review and meta-analysis. Consumption of both red meat and soft drinks contributed to a positive association with NAFLD. Inversely, nut consumption was negatively associated with NAFLD. There were no significant influences on the likelihood of NAFLD about consuming whole grains, refined grains, fish, fruits, vegetables, eggs, dairy products and legumes. This meta-analysis suggests that individuals who consumed more red meat and soft drinks may have a significantly increased likelihood of NAFLD, whereas higher nut intake may be negatively associated with NAFLD. Further prospective studies are required to assess the association between food patterns and NAFLD.

To detect modest associations of dietary intake with disease risk, observational studies need to be large and control for moderate measurement errors. The reproducibility of dietary intakes of macronutrients, food groups and dietary patterns (vegetarian and Mediterranean) was assessed in adults in the UK Biobank study on up to five occasions using a web-based 24-h dietary assessment (n 211 050), and using short FFQ recorded at baseline (n 502 655) and after 4 years (n 20 346). When the means of two 24-h assessments were used, the intra-class correlation coefficients (ICC) for macronutrients varied from 0·63 for alcohol to 0·36 for polyunsaturated fat. The ICC for food groups also varied from 0·68 for fruit to 0·18 for fish. The ICC for the FFQ varied from 0·66 for meat and fruit to 0·48 for bread and cereals. The reproducibility was higher for vegetarian status (κ > 0·80) than for the Mediterranean dietary pattern (ICC = 0·45). Overall, the reproducibility of pairs of 24-h dietary assessments and single FFQ used in the UK Biobank were comparable with results of previous prospective studies using conventional methods. Analyses of diet–disease relationships need to correct for both measurement error and within-person variability in dietary intake in order to reliably assess any such associations with disease in the UK Biobank.

The Paleolithic diet excludes two major sources of fibre, grains and legumes. However, it is not known whether this results in changes to resistant starch (RS) consumption. Serum trimethylamine-N-oxide (TMAO) is produced mainly from colonic fermentation and hepatic conversion of animal protein and is implicated in CVD, but changes in RS intake may alter concentrations. We aimed to determine whether intake of RS and serum concentrations of TMAO varied in response to either the Paleolithic or the Australian Guide to Healthy Eating (AGHE) diets and whether this was related to changes in food group consumption. A total of thirty-nine women (mean age 47 (sd 13) years, BMI 27 (sd 4) kg/m2) were randomised to AGHE (n 17) or Paleolithic diets (n 22) for 4 weeks. Serum TMAO concentrations were measured using liquid chromatography–MS; food groups, fibre and RS intake were estimated from weighed food records. The change in TMAO concentrations between groups (Paleolithic 3·39 μmv. AGHE 1·19 μm, P = 0·654) did not reach significance despite greater red meat and egg consumption in the Paleolithic group (0·65 serves/d; 95 % CI 0·2, 1·1; P <0·01, and 0·22 serves/d; 95 % CI 0·1, 0·4, P <0·05, respectively). RS intake was significantly lower on the Paleolithic diet (P <0·01) and was not associated with TMAO concentrations. However, the limited data for RS and the small sample size may have influenced these findings. While there were no significant changes in TMAO concentrations, increased meat consumption and reduced RS intake warrant further research to examine the markers of gastrointestinal health of Paleolithic diet followers and to update Australian food databases to include additional fibre components.

This study aimed to investigate the association between diet and the risk of breast, endometrial and ovarian cancer in the UK Women’s Cohort Study. A total of 35 372 women aged 35–69 years were enrolled between 1995 and 1998 and completed a validated 217-item FFQ. The individual foods were collapsed into sixty-four main food groups and compared using Cox proportional models, adjusting for potential confounders. Hazard ratio (HR) estimates are presented per portion increase in food items. After approximately 18 years of follow-up, there were 1822, 294 and 285 cases of breast, endometrial and ovarian cancer, respectively. A high consumption of processed meat and total meat was associated with an increased risk of breast and endometrial cancer. High intake of tomatoes (HR 0·87, 99 % CI 0·75, 1·00) and dried fruits (HR 0·60, 99 % CI 0·37, 0·97) was associated with a reduced risk of breast and endometrial cancer, respectively. Mushroom intake was associated with a higher risk of ovarian cancer (HR 1·57, 99 % CI 1·09, 2·26). Subgroup analysis by pre- or postmenopausal cancer further demonstrated an association between processed meat intake and both postmenopausal breast cancer and endometrial cancer. Intake of dried fruits was associated with a reduced risk of postmenopausal endometrial cancer (HR 0·55, 99 % CI 0·31, 0·98). Our findings suggest that while some foods may trigger the risk of these cancers, some foods may also be protective; supporting the call for further randomised controlled trials of dietary interventions to reduce the risk of cancer among pre- and postmenopausal women.

Approximately 6·5 million US children live in food-insecure households, meaning that they have restrained access to the types and amounts of foods they usually eat. The nutrient demands of growth and general sub-par dietary intake of US children by age highlight the importance and difficulty of attaining recommended amounts of critical dietary components to promote health and prevent disease. Evaluation of the evidence for a relationship of food insecurity with key dietary outcomes for the specific stages of child growth at 1–5 years, 6–11 years and 12–19 years has not been previously documented. Bradford Hill criteria of strength, consistency and dose–response were applied to aid evaluation. A comprehensive search of original research on US children using food-security assessment measures indexed to January 2017 was completed and identified sixteen studies that evaluated the relationship of food insecurity with key dietary outcomes. Evidence for a strong, consistent and dose–response relationship of food insecurity with lower vegetable intake compared with food security was determined among children aged 1–5 years and strong and consistent evidence of higher added sugar intake among food-insecure children aged 6–11 years compared with food-secure children was apparent. Adolescent-focused evidence was sparse but revealed adolescence as the paediatric age stage where food insecurity has the most potential for negative impact on child dietary intake. A discussion of future research opportunities includes strengthening the evidence through longitudinal study designs, inclusion of additional nutrients of concern, and stronger mitigation of bias and error.