Dietary Choices Research Articles

Is the "Pandemic Diet" Nonlithogenic?

Introduction and Objective: The COVID-19 pandemic and worldwide quarantine resulted in major changes in individual lifestyles. In New York State, March 16, 2020, marked the end of in-restaurant dining and a reported shift to more cooking at home. We investigated the 24-hour urine of patients with known history of nephrolithiasis to see if changes during COVID-19 pandemic altered the risk of stone disease. Methods: Retrospectively, patients with history of nephrolithiasis seen for an outpatient visit from April 1, 2020, to December 31, 2020, were studied. All patients had a 24-hour urine study "pre-COVID" defined as before March 16, 2020, "during-COVID" from March 16, 2020, to December 31, 2020; if available, "post-COVID" from January 1, 2021, to October 31, 2022, was also included. Mean study values were compared using paired, two-tailed t-tests. Results: Ninety-three patients (M = 54, F = 39) with a mean age of 60 years were evaluated. Twenty-four-hour urine revealed a significant reduction in urinary sodium (uNa) levels from pre-COVID (166.15 ± 7.51 mEq/L) compared with during-COVID (149.09 ± 7.55 mEq/L) (p = 0.015) and urinary calcium (uCa) levels from pre-COVID (214.18 ± 13.05 mg) compared with during-COVID (191.48 ± 13.03 mg) (p = 0.010). Post-COVID 24-hour urine (N = 73) levels for uNa (138.55 ± 6.83 mEq/L, p = 0.0035) and uCa (185.33 ± 12.61 mg, p = 0.012) remained significantly reduced compared with pre-COVID values, but with no difference compared with during-COVID values. Upon age stratification, this significance was found only in patients younger than 65. There were no significant differences in 24-hour urine total volume, magnesium, or citrate levels. Conclusions: During the COVID-19 lockdown, dietary choices limited to home-cooked meals allowed patients to better identify their food choices. This study demonstrates that home-cooked meals improved urinary parameters minimizing lithogenic risk factors for stone formation, including hypernatriuria and hypercalciuria. That these changes persisted into the post-COVID period may indicate improved dietary practices after the lockdown ended.

Assessment of the Environmental Footprint of Various Food Production Systems

Purpose: This study sought to assess the environmental footprint of various food production systems. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the environmental footprint of various food production systems. Preliminary empirical review revealed that with a call for transformative changes to mitigate ecological impacts while ensuring food security and human well-being. Through a comprehensive analysis, significant variations in resource use and emissions were highlighted across different production methods. The study emphasized the interconnectedness between dietary choices, agricultural practices, and environmental outcomes, urging policymakers to enact evidence-based policies and agricultural stakeholders to adopt regenerative farming practices. Ultimately, the study served as a call to action for concerted efforts to transition towards a more sustainable and resilient food system, integrating ecological principles, social equity, and economic viability to promote harmony between human activities and the natural environment. Unique Contribution to Theory, Practice and Policy: The Systems theory, Ecological Economics and Agroecology models may be used to anchor future studies on the environmental footprint of various food production systems. The study made significant contributions to theory, practice, and policy in the realm of sustainable food production and environmental conservation. It advanced theoretical understanding by advocating for a systems-based approach to assessing environmental impacts and highlighting the importance of considering multiple dimensions of sustainability. In practice, the study recommended the adoption of agroecological approaches and the promotion of sustainable farming practices to mitigate environmental harm. Policy recommendations included the implementation of regulatory interventions and incentives to promote sustainability, while consumer education and international collaboration were emphasized for driving demand for sustainable food products and facilitating knowledge sharing. Lastly, the study underscored the importance of investment in research and innovation to drive continuous improvements in sustainable food production systems.

Stakeholder mapping to explore social and economic capital of Rotating Savings and Credit Associations (ROSCAs) to increase demand for and access to healthy food

IntroductionSouth Africa, grappling with the complexities of malnutrition, faces a dual challenge of undernutrition in children and overnutrition in adults, particularly among women. This situation is exacerbated by high rates of food insecurity, affecting nearly one-fourth of households. In this context, the role of Rotating Savings and Credit Associations (ROSCAs), locally known as stokvels, becomes increasingly significant. These informal, often women-led, savings and borrowing groups present a unique opportunity to address dietary challenges and promote healthier eating practices in urban, low-income settings. This study explores the potential of stokvels in mitigating the dual burden of malnutrition by facilitating access to healthy, affordable foods.MethodsWe conducted stakeholder mapping to understand the roles and influences of various actors within South Africa's food system, particularly their interactions with stokvels. Our research focuses on how these groups, deeply embedded in the community fabric, can leverage their collective power to negotiate better access to nutritious food and influence healthier dietary choices. Stakeholders identified in the study span diverse sectors, including retail, agriculture, finance, and community organizations.ResultsThe research reveals that stokvels are perceived as vital social and economic entities capable of maximizing value through partnerships and networks. However, challenges such as the informal nature of stokvels and the lack of formal legal agreements often hinder their ability to form partnerships with formal institutions. The findings emphasize the importance of understanding and leveraging the social dynamics within stokvels, recognizing their role in enhancing food security and contributing to economic empowerment, especially for women. The study also identifies the need for formalizing stokvel structures to enhance their operational efficiency and increase their impact on food systems.DiscussionIn conclusion, this research highlights the untapped potential of stokvels in addressing South Africa's nutritional challenges. By fostering stronger connections between stokvels and various food system actors, there is a significant opportunity to improve food security and promote healthier eating habits in low-income communities. Future research should aim to include unrepresented stakeholders and explore strategies to enhance the role of ROSCAs in promoting healthier food choices and addressing affordability and accessibility barriers.

Learning about good nutrition with the 5-color front-of-package label “Nutri-Score”: an experimental study

The Nutri-Score is a 5-color front-of-pack nutrition label designed to provide consumers with an easily understandable guideline to the healthiness of food products. The impact that the Nutri-Score may have on consumers’ choices is unclear since different experimental paradigms have found vastly different effect sizes. In the present study, we have investigated how student participants change a hypothetical personal 1-day-dietary plan after a learning phase during which they learn about the Nutri-Scores of the available food items. Participants were instructed to compose a healthy diet plan in order that the question of whether the Nutri-Score would improve their ability to compose a healthy dietary plan could be investigated, independent of the question of whether they would apply this knowledge in their ordinary lives. We found a substantial (Cohen's d = 0.86) positive impact on nutritional quality (as measured by the Nutrient Profiling System score of the Food Standards Agency) and a medium-sized (d = 0.43) reduction of energy content. Energy content reduction was larger for participants who had initially composed plans with higher energy content. The results suggest that the Nutri-Score has the potential to guide consumers to healthier food choices. It remains unclear, however, whether this potential will be reflected in real-life dietary choices.

A Bibliometric Analysis of Literature on the Impact of Diet on Oral Health.

The complex connection between oral health and dietary habits is fundamental to holistic well-being. Oral health is closely linked to dietary choices, both as a reflection and a factor in overall health. This bibliometric analysis investigates clinical trials published in the PubMed database spanning six decades to understand the landscape of research on the impact of diet on oral health. The analysis reveals a fluctuating yet generally increasing trend over the decades, with significant growth periods interspersed with occasional declines, culminating in a recent slight decrease in research output. Withstrong collaborativenetworks, Devizio and Proskin emerge as primary contributors.The University of Sydney has published the maximum number of clinical trials. Thematic clusters highlight diverse research facets, including physiological measurements, socio-economic influences, and biochemical aspects. The evolution in research priorities from experimental studies to longitudinal evaluations underscores the interdisciplinary nature of the field. The analysis of country-wise research output revealed that the United States, Germany, and Australia lead in scientific research output, with notable contributions to the global landscape. While larger countries like China and India are represented, their frequencies are relatively lower, suggesting potential areas for further exploration. Collaboration patterns vary between countries, influencing the global impact of their scientific output. Despite the limitations inherent in database selection, this study integrates bibliometric and thematic analyses to offer comprehensive insights into research trends and priorities.

Aligning health, environment, and cost aspects of diets: Identifying sustainable dietary patterns in China

Considering the adverse effects of agricultural-food systems on both human health and the environment, this research aimed to identify sustainable diets, which are nutritious, culturally acceptable, affordable, and have low environmental impacts, based on self-reported diets in China. Dietary data was collected with a 3-day 24-h dietary recall and weight food record combined method among 10,324 subjects aged 18–64 year, who participated in the China Health Nutrition Survey 2011. Diet quality was assessed by the Chinese Healthy Eating Index 2016 (CHEI2016). Environmental impact was measured by greenhouse gas emissions (GHGE), total water use (TWU), and land use (LU), and diet costs were calculated using market prices of community surveys. Reduced rank regression derived dietary patterns with 34 food groups as predictor variables, and used CHEI2016 score, dietary greenhouse gas emissions (GHGE), total water use (TWU), land use (LU), and cost of the diet as response variables. Four dietary patterns were identified. Participants with the highest adherence (decile 10) to the “High animal-based food” pattern showed higher dietary GHGE (+57%), TWU (+51%), and LU (+54%) and dietary costs (+64%), compared to the average population's diets. The diet in decile 10 for the “High fruit, low ruminant meat” pattern displayed a 21% higher CHEI2016 score, and higher dietary environmental impact (GHGE +17%; TWU +22%; LU +19%) and dietary costs (+46%) than the average diets. Diets of participants who followed the “High fish, low beverages” pattern showed higher environmental impact (GHGE +39%; TWU +32%; LU +28%) and dietary costs (+19%), but the CHEI2016 score was similar (+0.1%). Finally, the “High wheat, low pork” pattern demonstrated lower environmental impacts (GHGE -17%, TWU -12%, LU -2%) and lower cost of the diet (−2%) but also lower CHEI2016 score (−1%) compared to average population. This study reveals the complex trade-offs between diet quality, environmental sustainability, and dietary costs of current dietary patterns. None of the four patterns achieved the desirable combination of high CHEI2016 scores, reduced environmental impact, and reduced dietary costs. The findings offer insights into sustainable diet choices within the current food system, suggesting dietary guidelines should consider environmental sustainability and cost-effectiveness.

Assessing Performance of Contemporary Plant-Based Diets against the UK Dietary Guidelines: Findings from the Feeding the Future (FEED) Study

Uncertainty remains about the composition of contemporary plant-based diets and whether they provide recommended nutrient intakes. We established Feeding the Future (FEED), an up-to-date online cohort of UK adults following different plant-based diets and diets containing meat and fish. We recruited 6334 participants aged 18–99 [omnivores (1562), flexitarians (1349), pescatarians (568), vegetarians (1292), and vegans (1571)] between February 2022 and December 2023, and measured diet using a food frequency questionnaire and free text. We compared personal characteristics and dietary intakes between diet groups and assessed compliance with dietary guidelines. Most participants met UK dietary recommendations for fruit and vegetables, sodium, and protein, although protein intakes were lowest among vegetarians and vegans. Omnivores did not meet the fibre recommendation and only vegans met the saturated fat recommendation. All diet groups exceeded the free sugars recommendation. Higher proportions of vegetarians and vegans were below the estimated average requirements (EARs) for zinc, iodine, selenium, and, in vegans, vitamins A and B12, whereas calcium intakes were similar across the diet groups. People following plant-based diets showed good compliance with most dietary targets, and their risk for inadequate intakes of certain nutrients might be mitigated by improved dietary choices and/or food fortification.

DIET PLANNING AND RECOMMENDATION SYSTEM USING ML AND MERN STACK

The "Diet Planning and Recommendation System Using ML and MERN Stack" project aims to develop an innovative solution to address the challenge of personalized diet planning and recommendation. With the rising awareness of the importance of nutrition in maintaining overall health and wellness, there is a growing demand for tools that can offer tailored dietary guidance to individuals based on their unique needs and preferences. This project leverages the power of Machine Learning (ML) algorithms and the MERN (MongoDB, Express.js, React.js, Node.js) stack to create a comprehensive and user-friendly platform. The system collects user data encompassing demographic information, health metrics, dietary habits, and goals. Using ML techniques such as regression, classification, and clustering, the system analyzes this data to generate personalized diet plans and recommendations. The backend of the system, built on Node.js and Express.js, manages data storage and processing, while the frontend, developed with React.js, provides an intuitive interface for users to interact with the system. MongoDB serves as the database, ensuring scalability and flexibility in data management. The ML models continuously learn and adapt based on user feedback and outcomes, enhancing the accuracy and effectiveness of the recommendations over time. Reinforcement learning techniques are employed to optimize diet plans based on real-world outcomes and user satisfaction. By integrating ML with the MERN stack, this project offers a novel approach to diet planning and recommendation, empowering individuals to make informed dietary choices and improve their overall health and well-being. KeyWords:Diet Planning ,Recommendation System,Machine Learning,(ML),MERNStack,Personalized,Nutrition,Health,,,Metrics,Dietary,Habits,Regression,Classification,Node.js, ,React.js,,MongoDB,User,Feedback,ReinforcementLearni,Real-world Outcomes,User Satisfaction,Wellness,Informed Dietary Choices

FITNOURISH: Smart Nutrition Tracker for Fitness Enthusiasts

In today’s health-conscious society, individuals are increasingly recognizing the importance of nutrition in optimizing their overall health and wellness. However, the conventional approach to nutrition often fails to consider the unique needs and preferences of individuals, resulting in generic dietary recommendations that may not be effective or sustainable. The Personalized Nutrition Analyzer is a cutting-edge system designed to address this gap by providing tailored nutrition recommendations and meal planning services based on each user’s specific characteristics, dietary preferences, and health goals. By leveraging advanced technology and data analytics, this sophisticated system empowers individuals to make informed decisions about their dietary intake, ultimately contributing to improved health outcomes and enhanced well-being. The Personalized Nutrition Analyzer revolutionizes dietary guidance by offering tailored nutrition recommendations and meal planning services to individuals striving for optimal health and wellness. Through meticulous analysis of user input, dietary preferences, and health objectives, the system provides personalized meal plans, nutrient analyses, and insightful guidance to facilitate informed decision-making regarding dietary choices. In a world where health consciousness is paramount, traditional one-size-fits-all dietary approaches often overlook individual nuances, leading to suboptimal outcomes. However, the Personalized Nutrition Analyzer bridges this gap by leveraging sophisticated technology and data analytics to customize dietary strategies according to each user’s unique characteristics and goals. By empowering users with personalized insights and actionable recommendations, the system promotes sustainable lifestyle changes and fosters improved health outcomes

Motivations matter: moral and health-related motives indirectly relate to differential psychological health indicators among vegetarians

Due to rising popularity of vegetarianism in recent years, research interest has surged in examining the relationship between vegetarianism and psychological health. However, given inconsistent findings in prior research, the answer to whether practicing vegetarianism is associated with better or worse psychological health is still elusive. The present investigation aimed to demonstrate that vegetarians are not homogeneous in terms of psychological experiences, such that it is crucial to consider the motives behind vegetarians’ dietary choice when examining their psychological health. In a survey study with 266 vegetarians and 104 omnivores, it was shown that health vegetarians displayed higher levels of disordered eating as compared to moral vegetarians and omnivores. Mediation analyses further revealed that, among vegetarians, health motivation was positively correlated with disordered eating tendencies, indirectly linking it with poorer psychological health; moral motivation was positively correlated with prosocial behavior, which in turn predicted better psychological health. These findings have implications for understanding the psychological health of vegetarians with different dietary motives and for developing interventions to promote their psychological health.

Plant-Based Diets versus the Mediterranean Dietary Pattern and Their Socio-Demographic Determinants in the Spanish Population: Influence on Health and Lifestyle Habits

Background: Plant-based diets are becoming more and more widespread among the Spanish population, progressively replacing the Mediterranean dietary pattern. Different studies have shown the motivations for adherence to these diets, and others have highlighted some health advantages and disadvantages. Purpose of the study: Further studies are needed to define the socio-demographic determinants that influence the choice of a plant-based diet and to study the relationship that the choice of dietary pattern has on the health and lifestyle habits of the population. Methods: A descriptive, cross-sectional study was conducted on the Spanish population. The NutSo-HH questionnaire, developed and validated by the research team, was used to gather socio-demographic, nutritional, social, and lifestyle information through non-probabilistic snowball sampling. Results: The questionnaire was completed by 22,181 Spanish citizens, of whom only 19,211 were of interest to the study. The socio-demographic variables gender, age, educational level, income level, and place of residence do not seem to influence the prevalence of a plant-based diet (n = 1638) compared to a Mediterranean diet (n = 17,573). People following a vegetarian or vegan diet have a lower BMI, and they consume less fried food, fast food, and ultra-processed dishes and fewer energy drinks or sugary beverages. They also do more exercise and sleep longer hours, smoke less, and consume alcohol less frequently. However, there seem to be more diagnosed eating disorders among people who follow a plant-based diet than those who follow a Mediterranean diet. Conclusions: People who adopt a plant-based diet tend to exhibit healthier lifestyle patterns and consume fewer foods that are detrimental to their health. However, it is essential for such dietary choices to be supervised by healthcare professionals to mitigate the risk of maladaptive behaviors evolving into eating disorders.

A System for Recommending Food Based on User’s Health Preferences

Making healthy decisions might feel like an uphill fight in a world where there are countless food alternatives and contradicting dietary recommendations. This is particularly true for people dealing with particular health issues, such pregnancy or long-term illnesses, where dietary choices can significantly affect overall health. However, what if there was a method to make the procedure simpler? Imagine having a personal nutritionist always with you, someone who understands your needs intimately and can help you make better decisions with a few smartphone clicks. That's the idea behind our most recent invention, an app meant to completely change the way we think about nutrition. With the use of state-of-the-art technology and the most recent findings in nutritional science, we have developed a tool that gives you access to the power of individualized nutrition. This is how it operates: you begin by providing the app with some personal information, such as your age, height, weight, and any particular health issues you may be aware of. The software uses this data to estimate your daily caloric needs and compute your Body Mass Index (BMI). We don't stop there, though. Based on your individual profile, the app creates a customized list of food suggestions by utilizing a large library of foods and nutritional data

Chitosan/Histidine nanoparticles for controlled curcumin delivery: A potential strategy in anticancer treatment

Cancer, a life-threatening disease influenced by environmental factors, evolving lifestyles, and dietary choices, necessitates potent and sustained therapeutic interventions. This research explores the potential of chitosan/histidine nanoparticles (CS/HIS-NPs) as a controlled delivery system for curcumin (CUR), a promising anticancer agent. CUR was efficiently incorporated into CS/HIS-NPs via ionic gelation using sodium tripolyphosphate (TPP) as crosslinker, and its impact was evaluated on Human liver adenocarcinoma (HEP G2) cells. Comprehensive analyses, including structural (Fourier-transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD)) and morphological (Scanning electron microscopy (SEM) and transmission electron microscopy (TEM)) assessments, were conducted, revealing a robust encapsulation efficiency of 98.4 %. The nanoparticles exhibited an average size of 31.183 ± 13.822 nm for CS/HIS-NPs and 127.86 ± 44.344 nm for CUR-CS/HIS-NPs. Cytotoxicity assessments and in vitro release studies with CUR-CS/HIS-NPs demonstrated promising results, indicating the potential efficacy of the delivery system. This study introduces a novel approach to curcumin delivery and underscores the capability of CS/HIS-NPs as a sophisticated pharmaceutical carrier for sustained curcumin release. By utilizing a polymer matrix to govern release kinetics, chitosan/histidine nanoparticles emerge as a promising avenue for advancing anticancer drug delivery.

Dentinal Hypersensitivity: An Overview, Pathogenesis and Management of Dentinal Hypersensitivity

Dentinal hypersensitivity might be one of the most common dental complaints encountered in our day to day practice. Although being so prevalent and a discomforting dental issue which affects the patient’s well being physically, mentally and in dietary choices, there are no said guidelines and treatment procedures especially designed for treating dentinal hypersensitivity. In this review article I will try to bundle up the pathogenesis, causes, treatment and management of dentinal hypersensitivity.

Aligning front-of-pack labelling with dietary guidelines: including whole grains in the health star rating.

Front-of-pack labelling systems, such as the Health Star Rating (HSR), aim to aid healthy consumer dietary choices and complement national dietary guidelines. Dietary guidelines aim to be holistic by extending beyond the individual nutrients of food, including other food components that indicate diet quality, including whole grains. We aimed to test the feasibility of including whole grains in the HSR algorithm, to better inform dietary guidance in Australia coherent with existing dietary guidelines. We assigned whole-grain points as a favourable component of the HSR based on the whole-grain content of foods. We compared the original, and three modified HSR algorithms (including altered thresholds for star ratings) using independent-samples median tests. Finally, we used Spearman's correlation to measure the strength of association between an item's nutritional composition (all components of the HSR algorithm including all favourable and unfavourable components) and their HSR using each algorithm. Up to 10 points were added for products with ≥ 50% whole-grain content, with no points for products with < 25%. Adjusting the HSR score cut-off by 3 points for grain products created the greatest difference in median HSR between refined and whole-grain items (up to 2 stars difference), compared to the original algorithm (a maximum of 1 star). The addition of whole grains to the HSR algorithm improved the differentiation of refined and whole-grain items, and therefore better aligned with dietary guidelines. Holistic approaches to food guidance systems are required to provide consistent messaging and inform positive food choices.

Influence of health food literacy on willingness to pay for healthier foods: focus on food insecurity

Abstract Background The repercussions of food insecurity are widely recognized to negatively impact overall health and are influenced by a complex interplay of physiological, psychological, social, and environmental factors. Methods This study examined the disparities in food consumption and literacy between among food security households and food insecurity households using data from the Korea Rural Economic Institute’s 2022 Consumer Behavior Survey for Food, which involved 3,321 respondents. Results Food security households had a greater understanding of and better attitude toward healthier food choices than food insecurity households. Economic ability was identified as having the most significant association with food purchasing behavior, with food security households spending more on average than food insecurity households. Structural equation modeling demonstrated the association of knowledge and attitude with dietary implementation and underscored the significance of consumer literacy as a factor related to willingness to pay for healthier foods. Conclusions This study underscores the intertwined relationships among financial capacity, knowledge, and health-conscious dietary choices. It also suggests the need for targeted interventions addressing economic and educational gaps to foster healthier food consumption patterns across different socioeconomic contexts.

Body mass index–dependent shifts along large-scale gradients in human cortical organization explain dietary regulatory success

Making healthy dietary choices is essential for keeping weight within a normal range. Yet many people struggle with dietary self-control despite good intentions. What distinguishes neural processing in those who succeed or fail to implement healthy eating goals? Does this vary by weight status? To examine these questions, we utilized an analytical framework of gradients that characterize systematic spatial patterns of large-scale neural activity, which have the advantage of considering the entire suite of processes subserving self-control and potential regulatory tactics at the whole-brain level. Using an established laboratory food task capturing brain responses in natural and regulatory conditions (N = 123), we demonstrate that regulatory changes of dietary brain states in the gradient space predict individual differences in dietary success. Better regulators required smaller shifts in brain states to achieve larger goal-consistent changes in dietary behaviors, pointing toward efficient network organization. This pattern was most pronounced in individuals with lower weight status (low-BMI, body mass index) but absent in high-BMI individuals. Consistent with prior work, regulatory goals increased activity in frontoparietal brain circuits. However, this shift in brain states alone did not predict variance in dietary success. Instead, regulatory success emerged from combined changes along multiple gradients, showcasing the interplay of different large-scale brain networks subserving dietary control and possible regulatory strategies. Our results provide insights into how the brain might solve the problem of dietary control: Dietary success may be easier for people who adopt modes of large-scale brain activation that do not require significant reconfigurations across contexts and goals.

The Nutri-Score nutrition label: Associations between the underlying nutritional profile of foods and lipoprotein particle subclass profiles in adults

Background and aimsLipoprotein particle concentrations and size are associated with increased risk for atherosclerosis and premature cardiovascular disease. Certain dietary behaviours may be cardioprotective and public health strategies are needed to guide consumers’ dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study has examined FSAm-NPS index associations with a wide range of lipoprotein particle subclasses. MethodsThis was a cross-sectional study of 2006 middle-to older-aged men and women randomly selected from a large primary care centre. Individual participant FSAm-NPS dietary scores were derived from validated food frequency questionnaires. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Multivariate-adjusted linear regression analyses were performed to examine FSAm-NPS relationships with lipoprotein particle subclasses. ResultsIn fully adjusted models which accounted for multiple testing, higher FSAm-NPS scores, indicating poorer dietary quality, were positively associated with intermediate-density lipoprotein (β = 0.096, p = 0.005) and small high-density lipoprotein (HDL) (β = 0.492, p = 0.006) concentrations, a lipoprotein insulin resistance score (β = 0.063, p = 0.02), reflecting greater lipoprotein-related insulin resistance, and inversely associated with HDL size (β = −0.030, p = 0.045). ConclusionsA higher FSAm-NPS score is associated with a less favourable lipoprotein particle subclass profile in middle-to older-aged adults which may be a potential mechanism underlying reported health benefits of a healthy diet according to Nutri-Score rating.

Dietary diversity and preferences among pregnant women and its association with anaemia

Purpose This study aims to assess dietary choices of pregnant women and its relationship with their anaemia status. Design/methodology/approach A mixed-method study comprising a survey and three focus group discussions (FGDs). The survey included 380 adult pregnant women with data collected on food choices, preferences and haemoglobin (Hb) status. Findings More than 50% of women in the study had Hb concentration &lt; 11.0 g/dl; mean Hb was 10.24 g/dl (SD = 1.59). Univariate analysis was used to generate descriptive tabulations for socio-demographic characteristics of respondents, dietary choices for women and anaemia status. T-test and bivariate analysis between dietary diversity score of the women among the food groups consumed as well as their anaemia (Hb) status. This showed that women with high dietary diversity score had improved Hb status (P = 0.003), and those who consumed meat and fish as well as dark leafy vegetables had significantly high diversity scores (P = 0.031 and P = 0.049). Thematic analysis was used for analysing qualitative data. Research limitations/implications The sample used in the study is unlikely to be fully representative of pregnant women in the Accra Metropolis. In addition, this study used a cross-sectional study design, making it difficult to establish causal associations between nutritional status and food choice of pregnant women. It does not also show variation in dietary practices by seasons of the year. The scope of the study did not allow for a detailed analysis, and this should be considered in future studies. Also, the study did not explore an obstetric factor like past bleeding history as well as the menstrual cycle of these pregnant women, as these factors are likely to interfere with the anaemia status of the pregnant women. Originality/value This paper contributes significant value by specifically focusing on and clarifying the complex relationship between dietary choices and aneamia among pregnant women. It also provides insights into the distinct dietary patterns and preferences of pregnant women, which may be contributing to the high prevalence of aneamia. The results of the study can inform the development of localized, evidence-based interventions to address this critical public health concern, ultimately leading to improved maternal and foetal health outcomes.

Coexistence, resource partitioning, and fisheries management: A tale of two mesopredators in equatorial waters.

Rock hind (Epinephelus adscensionis) and spotted moray (Gymnothorax moringa) are ubiquitous mesopredators that co-occur in the nearshore waters of Ascension Island in the South Atlantic Ocean, where they have significant cultural and subsistence value, but management of their non-commercial take is limited. This isolated volcanic system is home to high biomass and low species diversity, which poses two key questions: How can two mesopredators that perform similar ecological roles coexist? And if these two species are so ecologically similar, can they be managed using the same approach? Here, we combined acoustic telemetry, stomach content analysis, and stable isotope analysis to (i) explore space use and diet choices within and between these two species and (ii) to assess appropriate species-specific management options. Although rock hind had high residency and small calculated home ranges (0.0001-0.3114 km2), spotted moray exhibited shorter periods of residency (<3 months) before exiting the array. Vertical space use differed significantly across the 20-month tracking period, with individual differences in vertical space observed for both species. A hierarchical generalized additive model using 12-h averaged depth data identified that rock hind occurred lower in the water column than spotted moray, with both species occupying moderately deeper depths at night versus day (+1.6% relative depth). Spotted moray depth was also significantly predicted by lunar illumination. Aggregating samples by species and tissue type, Bayesian ecological niche modeling identified a 53.14%-54.15% and 78.02%-97.08% probability of niche overlap from fin clip and white muscle, respectively, whereas limited stomach content data indicated a preference for piscivorous prey. Variability in niche breadth between years suggests these species may exploit a range of prey items over time. These findings indicate that although these two species perform a similar ecological role by feeding on prey occupying the same trophic levels, subtle differences in movement behaviors between them suggest a one-rule-fits-all management approach is not likely the most effective option.