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Studies on developed economies showed that imposing taxes on animal-based foods could effectively reduce agricultural greenhouse gas emissions (AGHGEs), while this taxation may not be appropriate in developing countries due to the complex nutritional status across income classes. Hence, this study aims to explore optimal tax rate levels considering both emission reduction and nutrient intake, and examine the heterogenous effects of taxation across various income classes in urban and rural China.

The authors estimated the Quadratic Almost Ideal Demand System model to calculate the price elasticities for eight food groups, and performed three simulations to explore the relative optimal tax regions via the relationships between effective animal protein intake loss and AGHGE reduction by taxes.

The results showed that the optimal tax rate bands can be found, depending on the reference levels of animal protein intake. Designing taxes on beef, mutton and pork could be a preliminary option for reducing AGHGEs in China, but subsidy policy should be designed for low-income populations at the same time. Generally, urban residents have more potential to reduce AGHGEs than rural residents, and higher income classes reduce more AGHGEs than lower income classes.

This study fills the gap in the literature by developing the methods to design taxes on animal-based foods from the perspectives of both nutrient intake and emission reduction. This methodology can also be applied to analyze food taxes and GHGE issues in other developing countries.

The purpose of this study is to assess the impact of rising food prices on food demand and nutrient intake among rural–urban migrants and whether such impact varies across income classes.

Using data from the China Health and Nutrition Survey (CHNS), this study adopts a quadratic almost ideal demand system (QUAIDS) for food demand elasticity and an indirect estimation method for nutrient elasticity to investigate the effects of rising food prices on food demand and nutrient intake among rural–urban migrants.

The estimated results indicate that an increase in the price of pork alone would lead to a larger reduction in most nutrients among rural–urban migrants than other single targeted food group, and a simultaneous rise in the price of all food groups would have a remarkably adverse effect on the nutritional status of rural–urban migrants in comparison to the nutritional effects of a rise in one targeted food group. In addition, the nutritional effects of food prices across income classes show that the nutritional status is particularly vulnerable to rising food prices among low-income rural–urban migrants.

This paper focuses on analyzing the impact of rising food prices on the nutritional status of rural–urban migrants, a topic that is very limited in the literature. This study provides a fresh look at the effect of volatile food prices on food demand and nutrient intake among rural–urban migrants. The results indicate that income growth would have a remarkable positive effect on nutrient intake for rural–urban migrants, especially for low-income rural–urban migrants. However, an increment in nutrients due to a growth in income would not be far from enough to cover the reduction in nutrients as a result of a simultaneous rise in price of all the studied food categories at the same rate.

This study aims to identify the dietary patterns of two groups of subjects (with and without COVID-19), and to assess the relationship of findings with the prognosis of COVID-19 and metabolic risk parameters.

This study included 100 individuals in the age range of 19–65 years. The medical history, and data on biochemical, hematological and inflammatory indicators were retrieved from the files. A questionnaire for the 24-h food record and the food intake frequency was administered in face-to-face interviews, and dietary patterns of subjects were assessed.

In individuals with COVID-19, the hip circumference, the waist-hip ratio and the body fat percentage were significantly higher (p < 0.05), and the muscle mass percentage was significantly lower (p < 0.05). Mediterranean diet adherence screener (MEDAS), dietary approaches to stop hypertension (DASH) and healthy eating ındex-2015 (HEI-2015) scores were low in the two groups. A linear correlation of DASH scores was found with the muscle mass percentage (p = 0.046) and a significant inverse correlation of with the body fat percentage (p = 0.006). HEI-2015 scores were significantly and negatively correlated with body weight, body mass index, waist circumference, hip circumference and neck circumference (p < 0.05). Every one-unit increase in MEDAS, DASH and HEI-2015 scores caused reductions in C-reactive protein levels at different magnitudes. Troponin-I was significantly and negatively correlated with fruit intake (p = 0.044), a component of a Mediterranean diet and with HEI-2015 total scores (p = 0.032).

The limitation of this study includes the small sample size and the lack of dietary interventions. Another limitation is the use of the food recall method for the assessment of dietary patterns. This way assessments were performed based on participants’ memory and statements.

Following a healthy diet pattern can help reduce the metabolic risks of COVİD-19 disease.

Despite these limitations, this study is valuable because, to the best of the authors’ knowledge, it is the first study demonstrating the association of dietary patterns with disease prognosis and metabolic risks concerning COVID-19. This study suggests that dietary patterns during the COVID-19 process may be associated with several metabolic risks and inflammatory biomarkers.

This study aims to examine the association between minimum dietary diversity (MDD) and the concurrence of stunting and overweight (CSO) among children aged 6–23 months.

A cross-sectional study was conducted in Sedayu Subdistrict, Bantul District, Daerah Istimewa Yogyakarta. The authors assessed the concurrence of stunting (height-for-age Z-score below −2 standard deviations SD) and overweight/obesity (Body mass index BMI-for-age Z-score above +2 SD) among a total of 189 children aged 6–23 months as the primary outcome. The authors defined MDD as consuming at least four out of seven food groups using a single 24-h recall. The authors also included other covariates, including sociodemographic characteristics, exclusive breastfeeding history and complementary feeding practices. To identify the factors associated with CSO, this study conducted multiple logistic regression across the study variables using STATA 16.1.

In the adjusted model, children who met the MDD criterion were associated with a reduced risk of CSO (adjusted odds ratios [OR]: 0.14; 95%confidence interval CI: 0.03–2.43). Compared to boys, girls were more likely to experience CSO (adjusted OR: 5.23; 95%CI: 1.02–26.9). Middle economic status was a protective factor for CSO (adjusted OR: 0.10; 95%CI: 0.01–0.98). This study did not find a significant relationship between CSO and the child’s age, low birth weight, exclusive breastfeeding, energy intake, protein intake, parental education and parental occupation.

This study suggests future programs and policies that promote dietary diversity to reduce the risk of CSO.

This study reveals the association between MDD and the coexistence of stunting and overweight.

The aim of the present study was to investigate the association of the empirical dietary index for insulin resistance (EDIR) and empirical lifestyle index for insulin resistance (ELIR) with the risk of nonalcoholic fatty liver disease (NAFLD) in Iranian adults.

In this case-control study, 120 cases of NAFLD and 240 controls aged ≥20 years were included. NAFLD was detected by a gastroenterologist using an ultrasonography test. The food frequency questionnaire was used to collect nutritional data and determine the score of EDIR in participants. ELIR was determined based on body mass index, physical activity and dietary pattern. The odds ratios (ORs) of NAFLD were reported across tertiles of EDIR and ELIR using a logistic regression test.

The mean±SD age and BMI of subjects were 41.8 ± 7.5 years and 27.4 ± 2.2 kg/m², respectively. In the age and sex-adjusted model, the odds of NAFLD were increased across tertiles of ELIR (OR = 3.00; 95% CI: 1.63–5.55, P_trend = 0.001). Also, based on the fully adjusted model, the odds of NAFLD were increased according to tertiles of ELIR (OR = 2.66; 95% CI: 1.38–5.10, P_trend = 0.006). However, no significant association was found between the higher score of EDIR and odds of NAFLD based on the age and sex-adjusted model (OR = 1.18; 95% CI: 0.68–2.05, P_trend = 0.52) and the multivariable-adjusted model (OR = 0.91; 95% CI: 0.48–1.70, P_trend = 0.87).

To the best of the authors’ knowledge, this was the first study to examine the role of the insulinemic potential of diet and lifestyle in predicting NAFLD risk. Our findings suggested that a lifestyle with a higher score of ELIR was positively associated with NAFLD risk. However, a diet with a higher score of EDIR was not related to the odds of NAFLD.

The COVID-19 pandemic has caused significant mortality and morbidity worldwide. However, the role of dietary patterns as a potential risk factor for COVID-19 has not been well established, especially in studies with large samples. Therefore, this study aims to identify and evaluate the association between major dietary patterns and COVID-19 among adults from Iran.

In this cross-sectional study, the authors included 9,189 participants aged 20–70 who participated in the Yazd Health Study (YaHS) and Taghzieh Mardom-e-Yazd study (TAMIZ). They used factor analysis to extract dietary patterns based on a food frequency questionnaire (FFQ). Then, they assessed the relationship between these dietary patterns and the odds of COVID-19.

This study identified two major dietary patterns: “high protein and high fiber” and “transitional”. Participants in the highest tertile of the “high protein and high fiber” dietary pattern, which included vegetables, fruits, dairy and various kinds of meats such as red meat, fish and poultry, had a lower odds of COVID-19 compared with those in the lowest tertile. However, the “transitional” dietary pattern did not affect the risk of COVID-19.

In conclusion, a “high protein, high fiber” diet may lower the odds of COVID-19. This study suggests that dietary patterns may influence the severity and spread of future similar pandemics.

The major objective of this research work was to evaluate various physico-chemical characteristics, such as, chemical composition, antioxidant capacity, objective color and texture profile analysis (TPA) of the wheat flour/chickpea flour (CF) blends, so that nutritious baked products could be consumed by the type-2 diabetic persons.

Wholegrain wheat flour (WGF) and white wheat flour (WWF) were substituted with CF at 0 to 40% levels. These wheat flour/CF blends were analyzed for proximate composition, the prepared dough and baked breads were tested for objective color, antioxidant capacity as trolox equivalent antioxidant capacity (TEAC), malondialdehyde (MDA) and total phenolic content (TPC) and TPA.

WGF had the highest TEAC (117.42 mM/100g) value, followed by WWF (73.98 mM/100g) and CF (60.67 mM/100g). TEAC, MDA and TPC values varied significantly among all the three flour samples.

Inclusion of whole chickpea (without dehulling) flour in such type of blends would be another interesting investigation during the future research studies.

These research findings have a great potential for the production of these baked products for human consumption on an industrial scale.

Production of breads using wheat flour and CF blends would benefits the consumers.

Production of Arabic and pan breads using wheat flour and CF blends would, therefore, combine the benefits of both the needed proteins of plant origin and the health-promoting bioactive compounds, in a most sustainable way for the consumers.

The purpose of this study is to evaluate the relationship between weight status and food environments, peer influence and dietary intake among high-school students in Shiraz, Iran.

Applying a case-control design, 406 adolescents (n = 203 overweight or obese and n = 203 normal weight) aged 14–18 years were selected using a multistage cluster random sampling method. Demographic information, physical activity level and anthropometric indices were collected. Dietary intake was determined using a 147-item food frequency questionnaire. Food environment (home and out of home) and peer influence were determined by a validated questionnaire.

The type of food purchased using pocket money was different between adolescents with overweight or obesity and normal weight adolescents (p < 0.001). The out-of-home food environment score was not different between groups, but the home food environment score (p = 0.004) and the peer influence score (p = 0.001) were higher in normal weight adolescents. Adolescents with overweight or obesity consumed higher amounts of carbohydrate (p = 0.006) and lower amounts of protein (p = 0.01) and more sweet junk foods (p = 0.01), nonstarchy vegetables (p = 0.03) and fruits (p = 0.01) compared to the normal weight group.

Home food environment, peer influence, differences in macronutrient intake and dietary patterns may be contributing factors to adolescent weight status.

This study identifies new factors influencing the adoption of two recently promoted messages in Canada's updated food guide (FG): enhancing pleasure of eating healthy foods (PEHFs) and shifting food choices towards plant protein foods. Currently, limited and contradictory evidence is available regarding associations between environmental values, nutrition literacy, PEHFs, and plant/animal protein food consumption.

An online survey measuring environmental values; nutrition literacy, distinctively based on previous (2007) and most recent (2019) FG messages; PEHFs; and annual changes in the consumption of protein foods was sent to Quebec residents (N = 128).

Greater nutrition literacy of both 2007 and 2019 FGs and greater environmental values were associated with greater PEHFs (ß = 0.248, p < 0.01; ß = 0.209, p < 0.05; ß = 0.423, p < 0.001, respectively). Greater PEHFs was associated with greater consumption of plant protein foods (ß = 0.405, p < 0.001). Greater nutrition literacy of the 2007 FG was associated with greater consumption of animal protein foods (ß = 0.409, p < 0.001), whereas greater nutrition literacy of the 2019 FG was linked to lower consumption of animal protein foods (ß = −0.225, p < 0.05).

Enhancing PEHFs may require increasing general FG nutrition literacy and strengthening environmental values. To encourage plant protein food consumption and decrease animal protein food consumption, the authors recommend promoting PEHFs and increasing nutrition literacy based on newest FG recommendations.

This new evidence may help develop strategies promoting PEHFs and plant protein food consumption, thus increasing uptake of new FG recommendations.

Changes in eating habits and food preferences caused by circadian rhythm disruptions in shift workers increase the risk for chronic diseases. Several studies demonstrated that shift work exerts adverse effects on various risk factors for cardiometabolic disease and cancer. Moreover, shift work leads to altered eating patterns, including diets low in alkaline foods (such as vegetables, fruit and legumes) and high in acidogenic foods (such as meat, fish and cheese). Previously not examined, this imbalance could result in a high dietary acid load (DAL). DAL has been linked to low-grade metabolic acidosis, tissue inflammation and other metabolic alterations. The aim of this study was to investigate the hypothesis that shift work is positively associated with an increased DAL.

The authors used cross-sectional data from the National Health and Nutrition Examination Surveys (2007–2010). The sample for this analysis was drawn from a representative multistage-probability sample of US civilians. DAL estimations included potential renal acid load (PRAL) and net endogenous acid production (NEAP). Acid load scores and nutrient intake were compared between regular day workers (n = 3,814; mean age, 43.7 ± 0.3; mean body mass index (BMI), 28.6 ± 0.1; females 46.9%) and shift workers (n = 881; age, 37.4 ± 0.6; BMI, 28.4 ± 0.3; females 48.1%). Evening/night shift workers combined with rotating shift workers were contrasted to participants on a regular daytime schedule.

Potassium and magnesium intake were significantly lower in shift workers, whereas no significant differences with regard to total energy intake were found. The authors found significantly higher crude NEAP_F scores in shift workers (mean: 61.8 ± 1.2 mEq/day) compared to regular day workers (mean: 58.7 ± 0.5 mEq/day, P = 0.023). After adjustment for confounders, however, this association remained no longer significant. There were no significant intergroup differences regarding NEAP_R and PRAL_R.

This study revealed significant differences in crude NEAP_F scores between shift workers and day workers. After adjustment for confounders, this association was no longer significant. Such discrepancy is probably because of the scarce homogeneity in the analyzed sample which represents the main limitation of this study. Thus, the results did not confirm the hypothesis that shift work is associated with elevated DAL scores. Importantly, the data suggest significant intergroup differences in nutrient intakes without confirming our initial hypothesis with regard to DAL.

In light of the detrimental health outcomes associated with an increased DAL, this study reinforces the call for evidence-based dietary guidelines in shift workers. Studies in other shift working populations are thus warranted.