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A woman's nutritional status significantly determines her overall well-being. The authors critically examine the trends — including socioeconomic disparities — in undernutrition among Muslim women in India, a notably socio-economically disadvantaged group. The authors also investigate trends and variations across the dimensions of caste, place of residence (rural/urban), education, economic status and geographic regions.

The analysis leverages the nationally representative National Family Health Surveys (NFHS) of India conducted between 1998 and 2021. The authors examined poor–rich ratios, concentration indices, disparity ratios and predicted probabilities of being underweight (captured using Body Mass Index).

From 1998 to 2021, there has been a decline in undernutrition prevalence among Muslim women. However, stark socioeconomic variations persist. While the prevalence has decreased over time across all socioeconomic groups, disparities — both within and between groups — remain significant and, in many cases, have expanded. For certain socioeconomic subgroups (e.g. Muslim women with no formal education or those in the Central and Northeast regions), the disparity doubled between 1998 and 2021. In regions like the South, where undernutrition prevalence is low or has reduced, disparities remain significant and generally have increased.

To the authors’ knowledge, the study is the first to provide a comprehensive examination of the prevalence, trends and socioeconomic disparities in undernutrition among Muslim women in India over the past two decades.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0320

Pune is a prominent information technology (IT) hub in India, where snacking has become a customary practice among IT professionals. This study aims to determine the pattern and factors associated with snacking among IT professionals from various multinational corporations (MNCs) in Pune, Maharashtra, India.

This cross-sectional study considered 404 IT professionals aged 21 to 50 years. A convenient sampling method was adopted to administer a validated questionnaire. Information on snacking patterns and factors associated with snacking were recorded. Descriptive and inferential statistics were used to analyze the data with p = 0.05. The participation was voluntary, and confidentiality was ensured.

The mean age of the participants was 31 ± 7.9 years. Almost half (51.5%) of the participants engaged in daily snacking. The sociodemographic factors such as younger age (0.000), marital status (p = 0.001), salary package (p = 0.006), living situation (p = 0.05), designation (p = 0.042) and work experience (p = 0.001) significantly related with the unhealthy snacking pattern scores. Daily snacking was significantly associated with hunger (p = 0.001), stress (p = 0.001), weight (p = 0.000), peer influence (p = 0.041) and taste (p = 0.001). Hunger, stress, taste, peer influence, boredom and weight were significantly (p = 0.05) associated with unhealthy snacking patterns.

The mean age of the participants was 31 ± 7.9 years. Almost half (51.5%) of the participants engaged in daily snacking. The sociodemographic factors such as younger age (0.000), marital status (p = 0.001), salary package (p = 0.006), living situation (p = 0.05), designation (p = 0.042) and work experience (p = 0.001) significantly related with the unhealthy snacking pattern scores. Daily snacking was significantly associated with hunger (p = 0.001), stress (p = 0.001), weight (p = 0.000), peer influence (p = 0.041) and taste (p = 0.001). Overall, hunger, stress, taste, peer influence, boredom and weight were significantly (p = 0.05) associated with unhealthy snacking patterns such as snacking in between, prioritizing taste over nutrition, exclusion of fruits and vegetables in snacks, lack of control over snacking and snacking habit.

This study uniquely identifies the snacking pattern of IT professionals from Pune, India, which primarily includes unhealthy snacking. Various socio-demographic and other factors such as hunger, taste, stress, boredom, convenience, weight and peer influence, were associated with unhealthy snacking. Understanding the snacking pattern and its determinants can help create nutrition interventions to promote healthy snacking and decrease the risk of noncommunicable diseases in IT professionals.

Malnutrition has a significant effect on the onset and progression of infective pathology. The malnutrition status in COVID-19 cases are not understood well. Prognostic Nutritional Index (PNI) is a new and detailed assessment of nutrition and inflammation cases. This study aims to investigate the effect of PNI on mortality in COVID-19 patients.

In total, 334 patients (males, 142; females, 192; 64.5 ± 12.3 years of age) with COVID-19 bronchopneumonia were enrolled in this investigation. Cases were divided into two groups with respect to survival (Group 1: survivor patients, Group 2: non-survivor patients). Demographic and laboratory variables of COVID-19 cases were recorded. Laboratory parameters were calculated from blood samples taken following hospital admission. PNI was calculated according to this formula: PNI = 5 * Lymphocyte count (10⁹/L) + Albumin value (g/L).

When the patients were assessed with respect to laboratory values, leukocytes, neutrophils, CRP, ferritin, creatinine and D-Dimer parameters were significantly lower in Group 1 patients than Group 2 patients. Nevertheless, serum potassium value, lymphocyte count, calcium and albumin values were significantly higher in Group 1 cases than in Group 2 cases. PNI value was significantly lower in Group 2 cases than in Group 1 cases (39.4 ± 3.7 vs 53.1 ± 4.6).

In this retrospective study of COVID-19 cases, it can be suggested that PNI may be a significant risk factor for mortality. In conclusion of this research, high-risk patients with COVID-19 can be determined early, and suitable medical therapy can be begun in the early duration.

Nutrition labels provide a cost-effective method of conveying nutrition information to consumers. This study aimed to assess the use of nutrition facts panels, knowledge of traffic light labelling (TLL) and perceived healthiness of food items using TLL among consumers.

A web-based cross-sectional study was conducted among adults in the United Arab Emirates (UAE) (n = 1,322). TLL knowledge score was derived for each participant. Conjoint analysis was used to calculate the utilities and relative importance of the perceived healthiness scores for four attributes (fat, saturated fat, total sugar, salt) at the aggregate level.

Participants had a positive attitude towards TLL but were less familiar with TLL than the nutrition facts panel (47.4 vs 85.8%). The mean TLL knowledge score was 3.6 out of 7 (51.6%). Younger age, higher education, higher income, and health-related qualifications were associated with higher scores. Conjoint analysis showed that participants tend to choose products with greener labels, especially for sugars (80.1%) and avoid red labels for fats. Sugars had the highest percentage value of relative importance compared to the other attributes (27.1%).

The study outcomes offer valuable insights into the extent of consumer awareness, comprehension and utilization of nutrition facts panels in the UAE. These findings contribute essential knowledge for a deeper understanding of the impact of nutrition labels on consumer behaviour and decision-making in the region.

The inflammatory potential of diet may play a role in the regulation of low-grade chronic inflammation derived from obesity. This study aims to investigate the relationship between the dietary inflammatory index (DII) and anthropometric indicators of adiposity among Turkish adults.

The study sample consisted of 833 young adults (mean age = 23 ± 5.2 years). The inflammatory potential of the diet was evaluated with a DII. Data on dietary intake were collected by a single 24-h dietary recall, and DII was estimated from 25 dietary components. Also, the Mediterranean diet (Med-Diet) adherence screener was applied using the 14-item assessment tool.

The proinflammatory diet was statistically associated with young (p < 0.001), singles (p < 0.001), high school degree (p = 0.011), students (p < 0.001), not working or unemployed (p < 0.001), eating outside (p = 0.016) and lower adherence to a Med-Diet (p = 0.027). There was a statistically significant positive relationship between the DII score and body weight (BW), waist circumference and waist-to-height ratio (WHtR) (r = 0.107; p = 0.002, r = 0.092; p = 0.008, r = 0.115; p = 0.001, respectively). Besides, there was a statistically significant negative relationship between MED score and BW, WHtR and neck circumference (r = −0.101; p = 0.004, r = −0.084; p = 0.016, r = −0.175; p = 0.000, respectively).

To the best of the authors’ knowledge, this was the first Turkish study to assess the association between the anthropometric indicators of obesity and DII or adherence to Med-Diet in young adults. Lower DII scores and higher adherence to Med-Diet are related to the better status of anthropometric indicators of adiposity.

This study aims to enhance understanding of malnutrition's effect on academic achievement of primary school students.

This is a descriptive, cross-sectional design built on Roy's adaptation model (RAM). This study uses a random cluster sample, consisting of 453 primary school students. Contextual stimuli (mother's educational level, income and child’s breakfast eating) and focal stimuli (wasting, thinness, body mass index and stunting) were examined regarding adaptive responses to student’s academic achievement.

The investigation revealed that Model 1, which took into account factors of age, gender, the frequency of breakfast, income, the number of family members and the education of mothers, explained 12% (R² = 0.12) of the variance in academic achievement. Stuntedness (β = −3.2 and p < 0.01), BMI (β = 0.94 and p < 0.001), family income per month (β = 5.60 and p < 0.001) and mother's education (β = 2.79 and p < 0.001) were the significant predictors in Model 2.

This study provides evidence that malnutrition is associated with ineffective academic achievement. Moreover, variables such as the mother's level of education, family income and the child’s breakfast consumption have a significant impact on academic achievements.

RAM is a useful framework for determining factors affecting people's reactions to difficult circumstances.

This study aims to assess dietary choices of pregnant women and its relationship with their anaemia status.

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.

More than 50% of women in the study had Hb concentration < 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.

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.

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.

In pursuit of affordable and nutrient-rich food alternatives, the symbiotic culture of bacteria and yeast (SCOBY) emerged as a selected food ink for 3D printing. The purpose of this paper is to harness SCOBY’s potential to create cost-effective and nourishing food options using the innovative technique of 3D printing.

This work presents a comparative analysis of the printability of SCOBY with blends of wheat flour, with a focus on the optimization of process variables such as printing composition, nozzle height, nozzle diameter, printing speed, extrusion motor speed and extrusion rate. Extensive research was carried out to explore the diverse physical, mechanical and rheological properties of food ink.

Among the ratios tested, SCOBY, with SCOBY:wheat flour ratio at 1:0.33 exhibited the highest precision and layer definition when 3D printed at 50 and 60 mm/s printing speeds, 180 rpm motor speed and 0.8 mm nozzle with a 0.005 cm³/s extrusion rate, with minimum alteration in colour.

Food layered manufacturing (FLM) is a novel concept that uses a specialized printer to fabricate edible objects by layering edible materials, such as chocolate, confectionaries and pureed fruits and vegetables. FLM is a disruptive technology that enables the creation of personalized and texture-tailored foods, incorporating desired nutritional values and food quality, using a variety of ingredients and additions. This research highlights the potential of SCOBY as a viable material for 3D food printing applications.

Child malnutrition is a grave concern for Pakistan, as the country has one of the highest incidences of child stunting in the developing world. The present study examines the relative significance of parents' education on a child's nutritional status in Pakistan.

For analysis, the study has used data from Phase 7 of the Pakistan Demographic and Health Survey (PDHS) (2017–2018). Since the dependent variable ranges from 0 to 1 (1 indicates not a stunted child, while 0 represents a stunted child), binary logistic regressions are used for the analysis.

The results show that mothers' and fathers' education positively contributes to a child's nutrition. However, mothers' education is considered more significant, especially in the long run. The mother's education categories are positive and significant in the long run, while only their higher education is positive and significant for the father's. Moreover, the magnitude of the effect also shows that the probability of stunting is less if the mothers are educated. The long-run coefficient for mothers' higher education is 0.752, while that of fathers' higher education is only 0.232.

The present study compares the importance of mothers' and fathers' education in child nutrition and concludes that the role of the mother is more crucial for child upbringing. There are rarely any studies that focus on the role of fathers' education in child nutrition and compare whose role, mothers' or fathers,' is more important for child well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0483

Amidst compounding crises and increasing global population’s nutritional needs, food supply chains are called to address the “diet–environment–health” trilemma in a sustainable and resilient manner. However, food system stakeholders are reluctant to act upon established protein sources such as meat to avoid potential public and industry-driven repercussions. To this effect, this study aims to understand the meat supply chain (SC) through systems thinking and propose innovative interventions to break this “cycle of inertia”.

This research uses an interdisciplinary approach to investigate the meat supply network system. Data was gathered through a critical literature synthesis, domain-expert interviews and a focus group engagement to understand the system’s underlying structure and inspire innovative interventions for sustainability.

The analysis revealed that six main sub-systems dictate the “cycle of inertia” in the meat food SC system, namely: (i) cultural, (ii) social, (iii) institutional, (iv) economic, (v) value chain and (vi) environmental. The Internet of Things and innovative strategies help promote sustainability and resilience across all the sub-systems.

The study findings demystify the structure of the meat food SC system and unveil the root causes of the “cycle of inertia” to suggest pertinent, innovative intervention strategies.

This research contributes to the SC management field by capitalising on interdisciplinary scientific evidence to address a food system challenge with significant socioeconomic and environmental implications.