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To examine the association between red/processed meat consumption and glycaemic conditions (i.e. prediabetes (preDM) and diabetes mellitus (DM)) among middle-aged residents in rural Khánh Hòa, Vietnam. In this cross-sectional study, a multinomial logistic regression model was used to examine the association between daily consumption of red/processed meat (0-99 g, 100-199 g or ≥ 200 g) and preDM/DM with adjustments for socio-demographic, lifestyle-related and health-related variables. Khánh Hòa Province, Vietnam. The study used data collected through a baseline survey conducted during a prospective cohort study on CVD among 3000 residents, aged 40-60 years, living in rural communes in Khánh Hòa Province. The multinomial regression model revealed that the relative-risk ratios for DM were 1·00 (reference), 1·11 (95 % CI = 0·75, 1·62) and 1·80 (95 % CI = 1·40, 2·32) from the lowest to the highest red/processed meat consumption categories ( = 0·006). The corresponding values for preDM were 1·00 (reference), 1·25 (95 % CI = 1·01, 1·54) and 1·67 (95 % CI = 1·20, 2·33) ( = 0·004). We did not find any evidence of statistical significance in relation to poultry consumption. Increased red/processed meat consumption, but not poultry consumption, was positively associated with the prevalence of preDM/DM in rural communes in Khánh Hòa Province, Vietnam. Dietary recommendations involving a reduction in red/processed meat consumption should be considered in low- and middle-income countries.

Red and processed meat (RPM) intake varies widely globally. In some high-income countries (HIC) the last decade has witnessed an overall decline or stabilisation in the consumption of RPM, in contrast to emerging economies where its consumption continues to increase with rising income and rapid urbanisation. The production and consumption of RPM have become major concerns regarding the environmental impacts of livestock in particular, but also because of associations between high RPM consumption and diet-related non-communicable disease. Therefore, it is important to identify socioeconomic and demographic drivers of the consumption of RPM. This paper explores how consumption of RPM differs with age, gender, socioeconomic status and in different global contexts. There are some key socioeconomic and demographic patterns in RPM consumption. Men tend to consume RPM more often and in higher quantities, and there is evidence of a social gradient in HIC, with lower socioeconomic groups consuming RPM more often and in larger quantities. Patterns for consumption with age are less clear cut. It is apparent that consumers in HIC are still consuming high levels of RPM, although the downward shifts in some socioeconomic and demographic groups is encouraging and suggests that strategies could be developed to engage those consumers identified as high RPM consumers. In low- and middle-income countries, RPM consumption is rising, especially in China and Brazil, and in urban areas. Ways of encouraging populations to maintain their traditional healthy eating patterns need to be found in low- and middle-income countries, which will have health, environmental and economic co-benefits.

Background Household income (as a marker of socioeconomic position) and neighbourhood fast-food outlet exposure may be related to diet and body weight, which are key risk factors for non-communicable diseases. However, the research evidence is equivocal. Moreover, understanding the double burden of these factors is a matter of public health importance. The purpose of this study was to test associations of neighbourhood fast-food outlet exposure and household income, in relation to frequency of consumption of processed meat and multiple measures of adiposity, and to examine possible interactions. Methods We employed an observational, cross-sectional study design. In a cohort of 51,361 adults aged 38–72 years in Greater London, UK, we jointly classified participants based on household income (£/year, four groups) and GIS-derived neighbourhood fast-food outlet proportion (counts of fast-food outlets as a percentage of all food outlets, quartiles). Multivariable regression models estimated main effects and interactions (additive and multiplicative) of household income and fast-food outlet proportion on odds of self-reported frequent processed meat consumption (> 1/week), measured BMI (kg/m 2 ), body fat (%), and odds of obesity (BMI ≥ 30). Results Income and fast-food proportion were independently, systematically associated with BMI, body fat, obesity and frequent processed meat consumption. Odds of obesity were greater for lowest income participants compared to highest (OR = 1.54, 95% CI: 1.41, 1.69) and for those most-exposed to fast-food outlets compared to least-exposed (OR = 1.51, 95% CI: 1.40, 1.64). In jointly classified models, lowest income and highest fast-food outlet proportion in combination were associated with greater odds of obesity (OR = 2.43, 95% CI: 2.09, 2.84), with relative excess risk due to interaction (RERI = 0.03). Results were similar for frequent processed meat consumption models. There was no evidence of interaction on a multiplicative scale between fast-food outlet proportion and household income on each of BMI ( P  = 0.230), obesity ( P  = 0.054) and frequent processed meat consumption ( P  = 0.725). Conclusions Our study demonstrated independent associations of neighbourhood fast-food outlet exposure and household income, in relation to diet and multiple objective measures of adiposity, in a large sample of UK adults. Moreover, we provide evidence of the double burden of low income and an unhealthy neighbourhood food environment, furthering our understanding of how these factors contribute jointly to social inequalities in health.

The objective of the present paper was to review the consumption status of meat and dairy products among Chinese residents. The research topics included production, consumption and health implications of dairy and meat, and the data sources included reports of national surveys, research papers and data from the National Bureau of Statistics of China. The average intake of meat, especially pork, has continued to increase in China. Pork intake increased from 37·1 g/d in 1992 to 64·3 g/d in 2012. There was a much higher margin in rural regions; pork intake of rural residents increased from 25·0 g/d in 1992 to 59·9 g/d in 2012, which resulted in a narrowed gap between urban and rural areas. Although the average intake of dairy products increased from 14·9 g/d in 1992 to 24·7 g/d in 2012, the overall level was still lower. There was a significant difference of dairy consumption between urban and rural residents. The gap of per capita consumption of milk between urban and rural households was 3·5 kg/year in 1990, reached the maximum of 16·9 kg/year in 2003, then decreased to 8·7 kg/year in 2012. In conclusion, the finding of this review sheds light on some problems with food consumption patterns in China. Effective strategies need to be adopted in order to change the consumption patterns. The consumption of milk and replacing pork with poultry or fish or other health foods should be encouraged.

Background In light of the observed association between nutritional factors and polycystic ovary syndrome (PCOS) in recent decades, the present study was conducted to investigate the association between the consumption of various types of meat and PCOS in Iranian women. Material and methods This frequency-matched case–control study included 108 women with newly diagnosed PCOS and 108 age and body-mass-index-matched women without PCOS, as a control group, who were referred to the Yazd Diabetes Clinic and Khatam Clinic between January 2018 and March 2019. The validated 178-item food frequency questionnaire was used to assess the usual dietary intake. Logistic regression analysis was used to estimate the association between meat consumption and PCOS. Results The findings of this study showed, the individuals in the third tertile of red meat intake, had higher odds of PCOS in the crude model (Odds Ratio (OR) = 4.29; 95% Confidence Interval (CI), 2.13–8.64; P -value = 0.001) compared with those in the first tertile. These results remained significant after adjustments for energy intake, marital status, physical activity, education, pregnancy history and chronic disease history (OR = 3.87; 95% CI, 1.78–8.40; P -value = 0.001). Higher consumption of red meat increased the risk of PCOS by 3.87 times. Furthermore, higher consumption of processed meats increased the risk of PCOS by 2.15 times (OR = 2.15; 95% CI, 1.05–4.39; P -value and trend = 0.035). We did not find an association between other types of meat consumption and PCOS. Conclusion The results of the present study showed that a higher consumption of red and processed meat is associated with a higher risk of PCOS, whereas no significant correlation was found between the consumption of poultry, fish, and organ meat and PCOS. However, more studies are needed to support these findings in the future.

The association between red meat consumption and cancer risk remains a controversy. In this study, we systematically collected and analyzed global data (from Our World in Data and Global Cancer Observatory) to investigate this association for the first time. Our results confirmed significant positive associations between red meat consumption (RMC) and overall cancer incidence (0.798, p < 0.001), or colorectal cancer incidence (0.625, p < 0.001). Several previously unreported cancer types linked to RMC were also unveiled. Gross domestic product (GDP) per capita were found to have an impact on this association. However, even after controlling it, RMC remained significantly associated with cancer incidence (0.463, p < 0.001; 0.592, p < 0.001). Meanwhile, after controlling GDP per capita, the correlation coefficients between white meat consumption and overall cancer incidence were found to be much lower and insignificant, at 0.089 (p = 0.288) for poultry consumption and at −0.055 (p = 0.514) for seafood and fish consumption. Notably, an interesting comparison was performed between changes of colorectal cancer incidence and RMC in many countries and regions. A lag of 15–20 years was found, implying causality between RMC and cancer risk. Our findings will contribute to the development of more rational meat consumption concept.

Although the association between meat consumption and cardiovascular diseases (CVDs) has been extensively investigated, studies focusing specifically on the relationship between white meat consumption and CVD risk factors are fewer with controversial findings. The aim was to evaluate the relationship between white meat consumption and the incidence of cardiometabolic risk factors. A comprehensive literature search of PubMed articles was conducted from 2010 to 2022 (1 November), according to PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Thirteen prospective cohort studies were selected studying mainly poultry, with the exception of one study that also analyzed rabbit meat. From the seven studies on the risk of type 2 diabetes mellitus, four studies found no association, two studies found positive associations, and two studies found inverse associations when comparing poultry to other meats. Of the two studies on the risk of hypertension, one observed no association and one a positive association. Of the two studies on weight management, one observed a positive association with weight gain, the other study observed the same relationship only for chicken with skin, while for chicken without skin a positive relationship with relative weight loss was found. As for metabolic syndrome and its components, two studies revealed inverse associations with white meat intake. Only fresh lean white meat consumption seems to have potential beneficial effects on cardiometabolic risk factors. Future research should scrutinize consumption habits related to white meat intake when investigating its association with cardiometabolic risk factors.

This study empirically investigates the effect of meat consumption on greenhouse gas emissions (carbon dioxide, methane, and nitrous oxide) in the USA. The impact of meat consumption on greenhouse gas emissions is examined by controlling for economic growth and energy consumption. The empirical analysis finds that all these variables are cointegrated for the long run. Moreover, meat consumption aggravates greenhouse gas emissions. Specifically, meat consumption (except for beef) has a U-shaped relationship with carbon emissions and an inverted U-shaped relationship with methane and nitrous oxide emissions. The causality analysis indicates a unidirectional causality running from meat consumption to greenhouse gas emissions. These empirical findings indicate that the US livestock sector has the potential to become more environmentally friendly with careful policy formulation and implementation.

Transgender and gender-diverse (TGD) individuals continue to experience harassment and discrimination across various aspects of life, significantly impacting their physical and mental health. The scarcity of data on their general health, particularly regarding dietary habits, remains a challenge in developing effective healthcare strategies for this population. To address this gap, we analyzed selected dietary habits, physical activity (PA), and body mass index (BMI) among Italian TGD adults compared to the Italian general population (IGP). An online anonymous survey was conducted via the Computer Assisted Web Interviewing technique from June 2020 to June 2021. Participants were enrolled through clinical centers and TGD organizations. Data from 959 TGD adults were analyzed using chi-squared tests and logistic regression models. Key findings indicated that approximately 70% of TGD individuals consumed fewer servings of fruit and vegetables (FV) than recommended (five or more servings per day). Although red meat consumption was lower overall, a greater percentage of TGD individuals reported consuming more than three servings per week. Additionally, 58% of TGD participants indicated that they did not engage in any PA, compared to 36% of the IGP. Notably, significant differences in BMI were identified, with higher rates of overweight and obesity among TGD individuals assigned female at birth. These results underscore the urgent need for tailored nutritional guidelines and inclusive public health strategies to meet the specific health needs of the Italian TGD population. Expanding access to targeted interventions could contribute to improving overall well-being in this marginalized group.

Background The psychology of eating meat has emerged as a major field of study due to growing awareness of the negative impacts of excessive meat consumption on human and planetary health. Examining psychological profiles and testing strategies to address psychological barriers to meat reduction has become a prominent focus in psychology and various other disciplines. However, given the critical importance of psychometrically valid measurement tools in quantitative research, it is concerning that studies have largely relied on unvalidated, ad hoc survey instruments to measure meat consumption. To address this methodological gap this study aimed to develop and conduct an initial validation of a self-report questionnaire to measure an individual’s meat consumption and meat-eating intentions. Methods The questionnaire was developed and evaluated through exploratory factor analysis (sample 1: N  = 183 Australians) and confirmatory factor analysis (sample 2: N  = 495 Australians). Construct validity was evaluated by confirming the scale’s underlying factor structure and through correlations with demographic variables and ten theoretically related constructs. Internal consistency reliability was assessed with mean inter-item correlations, corrected total-item correlations, and coefficient H . Results Exploratory factor analysis did not identify a latent meat-eating intention scale, but did reveal a unidimensional latent factor representing total land-based meat consumption, which was named The Meat Consumption Scale (MCS). Confirmatory factor analysis verified the unidimensional structure of the MCS, with all model fit indices demonstrating excellent model fit. All correlations between the MCS and ten theoretically related constructs and demographic variables were significant and in the hypothesised directions, providing preliminary evidence of construct validity. Internal consistency reliability of the MCS was acceptable in both samples when evaluated by mean inter-item correlations and corrected item-total correlations, though coefficient H fell just shy of the recommended threshold. Conclusions Findings provide preliminary evidence of reliability and construct validity of The Meat Consumption Scale (MCS), which is the first psychometrically evaluated tool designed to measure an individual’s meat consumption using a fast (< 5 min) one-time assessment. This 12-item self-report questionnaire measures consumption of land-based meats—red meat (beef and lamb), poultry products, pork products, and other processed meats—over the past two-week period and is indicative of typical Western meat-eating patterns. The MCS is designed for cross-sectional and experimental research and applied contexts. Further validation of the scale, including assessment of criterion and discriminant validity and cross-cultural adaptations, is recommended.