This study aimed to understand the potassium voltage-gated channel KQT-like subfamily, member 1 gene polymorphism in a rural elderly population in a county in Guangxi and to explore the possible relationship between its gene polymorphism and blood sugar. The 6 SNP loci of blood DNA samples from 4355 individuals were typed using the imLDRTM Multiple SNP Typing Kit from Shanghai Tianhao Biotechnology Co. The data combining epidemiological information (baseline questionnaire and physical examination results) and genotyping results were statistically analyzed using GMDR0.9 software and SPSS22.0 software. A total of 4355 elderly people aged 60 years and above were surveyed in this survey, and the total abnormal rate of glucose metabolism was 16·11 % (699/4355). Among them, male:female ratio was 1:1·48; the age group of 60–69 years old accounted for the highest proportion, with 2337 people, accounting for 53·66 % (2337/4355). The results of multivariate analysis showed that usually not doing farm work (OR 1·26; 95 % CI 1·06, 1·50), TAG ≥ 1·70 mmol/l (OR 1·19; 95 % CI 1·11, 1·27), hyperuricaemia (OR 1·034; 95 % CI 1·01, 1·66) and BMI ≥ 24 kg/m2 (OR 1·06; 95 % CI 1·03, 1·09) may be risk factors for abnormal glucose metabolism. Among all participants, rs151290 locus AA genotype, A allele carriers (AA+AC) were 0.70 times more likely (0.54 to 0.91) and 0.82 times more likely (0.70 to 0.97) to develop abnormal glucose metabolism than CC genotype carriers, respectively. Carriers of the T allele at the rs2237892 locus (CT+TT) were 0.85 times more likely to have abnormal glucose metabolism than carriers of the CC genotype (0.72 to 0.99); rs2237897 locus CT gene. The possibility of abnormal glucose metabolism in the carriers of CC genotype, TT genotype and T allele (CT + TT) is 0·79 times (0·67–0·94), 0·74 times (0·55–0·99) and 0·78 times (0·66, 0·92). The results of multifactor dimensionality reduction showed that the optimal interaction model was a three-factor model consisting of farm work, TAG and rs2237897. The best model dendrogram found that the interaction between TAG and rs2237897 had the strongest effect on fasting blood glucose in the elderly in rural areas, and they were mutually antagonistic. Environment–gene interaction is an important factor affecting abnormal glucose metabolism in the elderly of a county in Hechi City, Guangxi.

Recent advancements in sensory research have brought to light the intricate relationship between taste perception and the oral microbiota, prompting investigations into their influence on human health, particularly in the context of dietary preferences and obesity. This review aims to update the current understanding of how oral microbiota influence taste perception and dietary choices, elucidating shared metabolic pathways between food processing and oral bacteria. Further, this review outlines the mechanisms underlying taste perception, emphasising the role of taste receptors and taste buds in shaping sensory experiences influenced by genetic and environmental factors. Notably, we explore the bidirectional relationship between oral microbiota and taste sensitivity, highlighting the potential impact of microbial composition on taste perception thresholds and implications for dietary habits and health outcomes, such as obesity and dental caries. However, significant research gaps remain, particularly in the understanding of the molecular mechanisms linking oral microbiota with taste sensitivity, as well as the long-term effects of microbiota-targeted interventions. Future research should focus on longitudinal studies and experimental interventions to explore these connections more deeply, offering insights into potential strategies for promoting healthier dietary behaviours and managing diet-related non-communicable diseases.

Beverages consumption influences diet quality in general and has been associated with the development of non-communicable chronic diseases (NCCD). We aimed to verify the association between beverage consumption patterns and the prevalence of NCCD. A cross-sectional household and population-based study was conducted with 489 individuals aged 20 years and older. The presence of NCCD (arterial hypertension, diabetes, cancer and hypercholesterolemia) was obtained by self-report, while obesity was diagnosed by measuring body weight, height and waist circumference. Beverage consumption patterns were obtained by principal component analysis. The association between beverages patterns and the prevalence of NCCD was verified using Poisson regression, expressed as prevalence ratio (PR) and adjusted for potential confounding factors. Three beverage patterns were identified: ‘ultra-processed beverages’, ‘alcoholic beverages’ and ‘healthy beverages’. Individuals with greater adherence to the Ultra-processed Beverages Pattern had a 2·77 times higher prevalence of cancer (PR: 3·77; 95 % CI 1·57, 9·07). Higher adherence to the Alcoholic Beverages Pattern was associated with a higher prevalence of obesity (PR: 1·97; 95 % CI 1·13, 3·44). In contrast, individuals in the second tertile of adherence to the Healthy Beverages Pattern had a 39 % lower prevalence of hypercholesterolemia (PR: 0·61; 95 % CI 0·40, 0·92), and individuals in the third tertile had a 10 % lower prevalence of abdominal obesity estimated by the waist-to-height ratio (PR: 0·90; 95 % CI 0·83, 0·97). Beverage consumption patterns may be associated with a higher prevalence of NCCD, regardless of other risk factors. It is therefore important to conduct more studies investigating the impact of beverages patterns on health.

Obesity and COVID-19 are global pandemics listed by World Health Organization, which need urgent attention. Obesity involves low grade chronic inflammation, which is characterised by sustained pro-inflammatory innate immune responses mediated through activation of the NLR family pyrin domain-containing 3 (NLRP3) inflammasome/IL-1 axis, and is a strong risk factor for Diabetes and Heart diseases(1). Dietary fats provide energy, satiety, source of fat-soluble vitamins and essential fatty acids – Omega 3 (n-3) and Omega 6 (n-6) fatty acids, but must be consumed in right amounts and ratios. Essential fatty acids (EFA) deficiency and n-6/n-3 imbalance is linked with chronic illnesses such as, heart attacks, cancer, insulin resistance, stroke, obesity, and diabetes(2). Excess dietary fat intake and imbalance of fatty acids, contribute to obesity, inflammation, comorbidities and faster disease progression. A cross-sectional survey aimed to understand the fatty food frequency of overweight and obese middle age adults from Mumbai, India during the COVID-19 outbreak. Using purposive sampling, 100 adults (30-60 years), a questionnaire (demographics, anthropometrics and fat food frequency questionnaire) was administered. Data was analysed using SPSS 26.0. As per BMI standards, 60.2% participants were overweight, 12.6% were obese and 27.1% had normal BMI. For visible fat consumption, sunflower oil (47.6%), ghee (38.8%), rice bran oil (34%) groundnut oil (11.7%) and invisible fats – milk (100%). Other dairy products, nuts and oilseeds were consumed weekly. twice a week, majority (92.3%) consumed packaged high fat foods as compared to eating deep-fried items (58.9%). We concluded that excess dietary fat intake is high risk factor for obesity and related comorbidities diabetes, and hypertension. High BMI increases the risk for non-communicable diseases (NCDs) such as obesity, cardiovascular disease (CVD), insulin resistance and type 2 diabetes. People with co-morbidities are high risk groups for COVID-19 infection susceptibility. Hence, managing weight could be a cost-effective preventive strategy to help in delaying the onset and progression of NCDs, thereby lowering the susceptibility to COVID-19. Our findings have important implications in working towards adopting healthy fats and reducing mortality and reducing the global burden of pandemic. High dietary fat intake is a modifiable risk factor for overweight and obesity. Comorbidities increased risk for COVID-19 infection, disease severity and mortality. Hence, there is a need to understand the dietary fat consumption patterns in obesity and COVID-19. Dietary carbohydrate, sugar and fat quality in relation to obesity and pandemic such as, COVID-19 could be explored in future studies.

Availability of ultra-processed foods is likely to be high in the Pacific(1) however, information on consumption is limited. This study aimed to assess consumption levels and dietary sources of ultra-processed foods (UPFs) in a population of adults in the Central Division of Fiji. A random sample of 700 adults was selected from two statistical enumeration areas (one semi-urban, one rural) in Fiji. Participant characteristics were collected, along with a three-pass 24-hour diet recall. Foods consumed were coded based on level of processing, in alignment with the NOVA categorisation system (1 = unprocessed, 2 = minimally processed,3 = processed and 4 = ultra-processed). UPF contribution to total energy, salt, fat, and sugar intake were estimated. Main sources of UPFs were then estimated by food group. 534 adults participated (76% response rate, 50% female). Preliminary results suggest that UPFs contributed 21.5% (%95 CI, 19.5% to 23.4%) of total energy intake. Further, UPFs contributed to 22.8% (%95CI 20.5% to 25.1%) of total salt intake, 24.0% (%95 CI, 21.4% to 26.6%) of fat intake and 18.6% (%95 CI, 16.5% to 20.7%) of sugar intake. UPFs contributed over 20% of total energy intake in this sample of Fijian adults and over 20% of salt, fat, and sugar. Messages and interventions that encourage consumption of minimally processed foods while reducing consumption of UPFs are likely needed to improve the healthiness of diets.

We aimed to analyse the association between processed food consumption and the risk of non-communicable diseases (NCDs) in South Africa. In this empirical study, we analysed nationally representative secondary data obtained from the South African Demographic and Health Survey (SADHS) VII. The survey included 13,288 occupied households, of which 11,083 were interviewed. In the interviewed households, 12,717 eligible adults aged 15 and older were identified and 10,336 were successfully interviewed. The study included four processed food groups (i.e. fried foods, takeaway foods/fast foods, salty snacks/packed chips, and processed meats) and eight NCDs (i.e. hypertension, cardiac arrest, cancer, stroke, hypercholesterolaemia, diabetes, chronic bronchitis, and asthma). As per the logistic regression results following adjustment, none of the disease states showed association with all four processed food groups. However, at least three processed food groups showed a significant positive association with hypertension, cardiac arrest, and diabetes. Two processed food groups showed significant positive association with stroke, and chronic bronchitis; one with hypercholesterolaemia and asthma; and cancer was not associated with any food groups. Processed meat and salted snacks/packed chips were each associated with five chronic conditions. In summary, we found that the consumption of any of the processed food groups increased the risk of NCDs in the South African population. Enabling policy and regulatory efforts in the production and distribution of processed foods, combined with improved awareness among the population need to be prioritised for immediate action. Facilitating the populations to choose traditional healthy diets would be a sustainable strategy for the prevention of NCDs.

Increasing prevalence of non-communicable diseases (NCDs) has become the leading cause of death and disability in Bangladesh. Therefore, this study aimed to measure the prevalence of and risk factors for double and triple burden of NCDs (DBNCDs and TBNCDs), considering diabetes, hypertension, and overweight and obesity as well as establish a machine learning approach for predicting DBNCDs and TBNCDs. A total of 12,151 respondents from the 2017 to 2018 Bangladesh Demographic and Health Survey were included in this analysis, where 10%, 27.4%, and 24.3% of respondents had diabetes, hypertension, and overweight and obesity, respectively. Chi-square test and multilevel logistic regression (LR) analysis were applied to select factors associated with DBNCDs and TBNCDs. Furthermore, six classifiers including decision tree (DT), LR, naïve Bayes (NB), k-nearest neighbour (KNN), random forest (RF), and extreme gradient boosting (XGBoost) with three cross-validation protocols (K2, K5, and K10) were adopted to predict the status of DBNCDs and TBNCDs. The classification accuracy (ACC) and area under the curve (AUC) were computed for each protocol and repeated 10 times to make them more robust, and then the average ACC and AUC were computed. The prevalence of DBNCDs and TBNCDs was 14.3% and 2.3%, respectively. The findings of this study revealed that DBNCDs and TBNCDs were significantly influenced by age, sex, marital status, wealth index, education and geographic region. Compared to other classifiers, the RF-based classifier provides the highest ACC and AUC for both DBNCDs (ACC = 81.06% and AUC = 0.93) and TBNCDs (ACC = 88.61% and AUC = 0.97) for the K10 protocol. A combination of considered two-step factor selections and RF-based classifier can better predict the burden of NCDs. The findings of this study suggested that decision-makers might adopt suitable decisions to control and prevent the burden of NCDs using RF classifiers.

Ultra-processed plant-based foods, such as plant-based burgers, have gained in popularity. Particularly in the out-of-home (OOH) environment, evidence regarding their nutritional profile and environmental sustainability is still evolving. Plant-based burgers available at selected OOH sites were randomly sampled in Amsterdam, Copenhagen, Lisbon and London. Plant-based burgers (patty, bread and condiment) (n 41) were lab analysed for their energy, macronutrients, amino acids and minerals content per 100 g and serving and were compared with reference values. For the plant-based burgers, the median values per 100 g were 234 kcal, 20·8 g carbohydrates, 3·5 g dietary fibre and 12·0 g fat, including 0·08 g TFS and 2·2 g SFA. Protein content was 8·9 g/100 g, with low protein quality according to amino acid composition. Median Na content was 389 mg/100 g, equivalent to 1 g salt. Compared with references, the median serving provided 31% of energy intake based on a 2000 kcal per day and contributed to carbohydrates (17–28%), dietary fibre (42%), protein (40%), total fat (48%), SFA (26%) and Na (54%). One serving provided 15–23% of the reference values for Ca, K and Mg, while higher contributions were found for Zn, Mn, P and Fe (30–67%). The ultra-processed plant-based burgers provide protein, dietary fibre and essential minerals and contain relatively high levels of energy, Na and total fats. The amino acid composition indicated low protein quality. The multifaceted nutritional profile of plant-based burgers highlights the need for manufacturers to implement improvements to better support healthy dietary habits, including reducing energy, Na and total fats.

Broad variations in dietary and physical activity patterns are part of nutritional transition concept. An additional nutritional transition has as main characteristic the change of consumption of processed foods for ultra-processed foods (UPF). This study aims to evaluate trends of UPF availability in Portuguese population and its association with diet-related non-communicable diseases (NCD) health indicators. This ecological study used data from the Household Budget Surveys conducted by the National Statistics Institute each 5 years within a national representative sample of households. The percentage of UPF was calculated based on the total daily amount of food and beverages available per capita (in grams). Data from the years 1990, 1995, 2000 and 2005 were used, which were retrieved from DAFNE-Anemos Software. NCD age-standardised mortality, prevalence and incidence were obtained from the Global Burden of Disease database, for the years 2000, 2005, 2010 and 2015. Between 1990 and 2005, the UPF availability increased from 3·9 % to 13·8 %. Over the years, almost all food and beverages categories increased the UPF availability contribution, mainly noticeable for milk, sugar, cereal and meat products. Positive correlations were observed between UPF availability and digestive diseases both in prevalence (r = 0·062; P = 0·037) and incidence (r = 0·005; P = 0·010) measures. Neoplasms incidence also showed positive correlation with UPF availability (r = 0·002; P = 0·012). Trends in UPF availability in Portugal increased exponentially. At the same time, there is a trend towards a decrease in unprocessed and processed food availability. The Portuguese population should be made aware of the health risks resulting from excessive consumption of UPF.

In studies that contain repeated measures of variables, longitudinal analysis accounting for time-varying covariates is one of the options. We aimed to explore longitudinal association between diet quality (DQ) and non-communicable diseases (NCDs). Participants from the 1973–1978 cohort of the Australian Longitudinal Study on Women’s Health (ALSWH) were included, if they; responded to survey 3 (S3, 2003, aged 25–30 years) and at least one survey between survey 4 (S4, 2006) and survey 8 (S8, 2018), were free of NCDs at or before S3, and provided dietary data at S3 or S5. Outcomes were coronary heart disease (CHD), hypertension (HT), asthma, cancer (except skin cancer), diabetes mellitus (DM), depression and/or anxiety, and multimorbidity (MM). Longitudinal modelling using generalised estimation equation (GEE) approach with time-invariant (S4), time-varying (S4–S8) and lagged (S3–S7) covariates were performed. The mean (± standard deviation) of Alternative Healthy Eating Index-2010 (AHEI-2010) of participants (n = 8022) was 51·6 ± 11·0 (range: 19–91). Compared to women with the lowest DQ (AHEI-2010 quintile 1), those in quintile 5 had reduced odds of NCDs in time-invariant model (asthma: OR (95 % CI): 0·77 (0·62–0·96), time-varying model (HT: 0·71 (0·50–0·99); asthma: 0·62 (0·51–0·76); and MM: 0·75 (0·58–0·97) and lagged model (HT: 0·67 (0·49–0·91); and asthma: 0·70 (0·57–0·85). Temporal associations between diet and some NCDs were more prominent in lagged GEE analyses. Evidence of diet as NCD prevention in women aged 25–45 years is evolving, and more studies that consider different longitudinal analyses are needed.

Improving diet quality is recognised as a double-duty action that can simultaneously address multiple forms of malnutrition. This study aimed to assess diet quality among non-pregnant non-lactating women of reproductive age (WRA) in Addis Ababa, Ethiopia. A 1-d quantitative 24 h recall was conducted among 653 non-pregnant/non-lactating women. Diet quality, assessed using the women dietary diversity score (WDDS), the Global Diet Quality Score (GDQS) and the Nova 4 classification reflecting consumption of ultra-processed foods (UPF), was compared. The proportion that meets the minimum dietary diversity for women (MDD-W) was estimated. The average MDD-W score was 2·6 (sd 0·9), with only 3 % of women meeting the MDD-W (≥ 5 food groups). Consumption of wholegrain and legumes was high, but UPF were also consumed by 9 % of the women. GDQS was positively associated with WDDS, age and skipping breakfast and was negatively associated with eating out of home and UPF consumption (P < 0·05). The multivariate regression model showed that GDQS (total) was not associated with wealth but was significantly associated with both UPF and WDDS (P < 0·001). Unlike UPF and WDDS alone, GDQS was able to predict both nutrient adequacy and unhealthy dietary practices. The diet quality of WRA in Addis Ababa is low in diversity, possibly exposing them to higher risk of nutrient inadequacy and non-communicable diseases as reflected by the low GDQS. Understanding what drives food and dietary choices in urban settings is urgently needed.

The emergence of non-communicable diseases (NCDs) in childhood poses a serious risk to a healthy adult life. The present study aimed to estimate the prevalence of NCDs among children and adolescents in slums and non-slums areas of four metropolitan cities of India, and in rural areas of the respective states The study further, investigated the effect of the place residence as slum vs. non-slum and other risk factors of the NCDs. Nationally representative data from the Comprehensive National Nutrition Survey (CNNS) was used.. Estimates were based on children (5-9 years) and adolescents (10-19 years) for whom biomarkers predicting diabetes, high total cholesterol, high triglycerides and hypertension were determined. Weight, height and age data were used to calculate z-scores of the body mass index. Overweight and obesity was higher in urban areas than in rural areas among children and adolescents. Regional differences in the prevalence of diseases were observed; children in Delhi and Chennai had a higher likelihood of being diabetic while children in Kolkata were at a greater risk of high total cholesterol and high triglycerides. The risk of hypertension was strikingly high among non-slum children in Delhi. Children from slums were at a higher risk of diabetes compared to the children from non-slums, while children and adolecents from non-slums were at a greater risk of high triglycerides and hypertension respectively than their counterparts from slums. Male children and adolecents had a higher risk of diabetes and high cholesterol. Screening of children for early detection of NCDs should be integrated with the already existing child and adolescent development schemes in schools and the community can help in prevention and control of NCDs in childhood.

More than three in 10 people living in Jordan are immigrants, with the majority being Palestinian and Syrian refugees, who have a very similar non-communicable diseases (NCDs) profile to the hosting Jordanian community. We conducted a rapid review of the literature of studies, reports, and documents on the evidence of the impact of COVID-19 on vulnerable populations in Jordan with regard to NCD during the first year of the pandemic. COVID-19-related mobility constraints and often lack of awareness of NCDs put additional burden on vulnerable populations like refugees and migrants, in particular on non-registered migrants. COVID-19 pandemic and associated mitigation measures led to disruption in routine health services, significantly impacting people living with NCDs. Ensuring to deliver a people-centered and inclusive approach that works well during COVID-19 is of paramount importance toward Universal Health Coverage (all people have access to the health services they need, when and where they need them, without financial hardship).

The marketing of foods and non-alcoholic beverages (hereafter: food) high in fats, salt and/or sugar (HFSS) has been strongly implicated in the rising levels of childhood obesity worldwide. Multiple ethical concerns arise from the practice of exposing children to such marketing and efforts to monitor and restrict it through regulatory policies. There is considerable evidence that exposure to powerful food marketing messages affects children's food behaviours in ways that are detrimental to good dietary health. Children are particularly vulnerable to being exploited and deceived by food marketing messages based on their cognitive and developmental immaturity. HFSS food marketing also affects numerous child rights enshrined within the UN Convention on the Rights of the Child (of which the UK is a signatory) including the right to the enjoyment of the highest attainable standard of health. The debate has become somewhat polarised between the public health community's evidence-based assertion that all marketing is inherently exploitative and the rebuttal from food and marketing industry stakeholders that provided the marketing is ‘accurate and truthful’ and there is no ethical need to regulate. This polarisation is reflected in the complexity of policymaking decisions regarding the rationale for mandatory government-led policies or industry self-regulation. There are also ethical considerations inherent in the monitoring of children's food marketing exposure, particularly in the digital sphere, by researchers for the purposes of informing policy design, scope and implementation. This review paper will explore the latest evidence on these issues and consider the implications for public health research, policy, and practice.

Non-communicable diseases disproportionately affect African migrants from sub-Saharan Africa living in high-income countries (HICs). Evidence suggests this is largely driven by forces that include migration, globalisation of unhealthy lifestyles (poor diet, physical inactivity and smoking), unhealthy food environments, socio-economic status and population ageing. Changes in lifestyle behaviours that accompany migration are exemplified primarily by shifts in dietary behaviours from more traditional diets to a diet that incorporates that of the host culture, which promotes the development of obesity, diabetes, hypertension and CVD. The current paper presents a critical analysis of dietary change and how this is influenced by the food environment and the socio-economic context following migration. We used a food systems framework to structure the discussion of the interaction of factors across the food system that shape food environments and subsequent dietary changes among African migrant populations living in HICs.