The WHO South-East Asia Region Nutrient Profile Model Is Quite Appropriate for India: An Exploration of 31,516 Food Products

Nutrient profiling assessment of packaged snack foods with nutrition-related claims available on the Indian market

Background

Food packaging includes labels with specific nutrient contents to provide consumers with nutritional information. Legislative actions and consumers' growing interest in nutrition information have increased the disclosure of nutrition information. The study was planned to examine packaged snack foods carrying nutritional claims for nutrition labeling.

Methods

The selected packaged chips were divided into categories based on the primary ingredients mentioned on the nutrition label, such as cereal/pseudocereal-based, millet-based, vegetable-based, and pulses/legume-based chips. Four threshold levels, such as total sugar, sodium, total fat, and saturated fat, were used for categorization.

Results

Out of a total of 23 packaged chips, the corresponding 2, 7, 8, and 13 products had a higher content of sugar, saturated fat, sodium, and total fat than the threshold levels. A significant (p ≤ 0.01) difference was observed in the values of nutrients analyzed through laboratory methods in comparison with the values given on the nutrition label in the majority of the products.

Conclusion

The majority of the products belonged to national brands and differed from the nutrition-related information given on the product label in terms of the nutrient content claim.

Development of a Nutrient Profiling Model for Processed Foods in Japan

Numerous nutrient profiling models (NPMs) exist worldwide, but Japan lacks an official NPM. Using the Australian and New Zealand Health Star Rating (HSR) as a reference, "Processed Foods in Japan version 1.0" (NPM-PFJ (1.0)) was developed to fit Japanese food culture and policies. In total, 668 processed foods from the Standard Tables of Food Composition in Japan were analyzed, excluding seasonings/spices, fats/oils, alcoholic beverages, and infant food. The NPM-PFJ (1.0) scoring algorithm was adapted from HSR, with revised reference values for energy, saturated fat, total sugars, sodium, protein, and dietary fiber in alignment with Japanese standards. Reference values for fruits, vegetables, nuts, and legumes (fvnl) remained unchanged. Median scores were 4.5 for HSR and 5.0 for NPM-PFJ (1.0), showing high correlation (r = 0.939, p < 0.01). Thereafter, food categories familiar and meaningful in Japan were defined based on a hierarchical cluster analysis of scoring patterns, creating six categories with distinct characteristics. Finally, the rating algorithm for NPM-PFJ (1.0) was created using each group's score distribution (10th percentile). The NPM-PFJ (1.0) was developed through a fully transparent and evidence-based process and is expected to facilitate the reformulation of food products by food industries and help consumers easily access healthier processed foods. This model marks a significant step forward in developing an NPM tailored to Japanese food culture and health policies, with the potential to enhance public health.

Influence of ultra-processed food in the diet of South Indian young adults: an explanatory mixed method study

PURPOSE

To determine the contribution of ultra-processed foods (UPFs) to overall macronutrient intake and their association with anthropometric measurements, and to explore the perceptions regarding UPF consumption among young adults in Puducherry, India.

METHODS

This study included 630 participants from three colleges selected using multistage cluster sampling. Following the demonstration of portion estimation, dietary data from previous day were collected using a Google Form-based tool. The participant's anthropometric measures were taken. Food items were classified into NOVA groups and intake analysis was performed using DietSoft software. The participants with low and high consumption were identified and focus group discussions were conducted in each group using criterion sampling.

RESULTS

Of all the participants, 178 (28.3%) were overweight or obese. UPF contributed 9.3% of total energy intake and 2.8% protein, 9.9% fat, and 9.9% carbohydrates. The most consumed UPFs were biscuits, wafers (25%), and potato chips(16.2%). No significant association was found between anthropometric measures and UPF consumption. Qualitative findings revealed four major themes, further explained using the socio-ecological framework.

CONCLUSION

UPF consumption in the region was lower than that reported in other global and Indian studies. While our study did not find a significant association between UPF consumption and anthropometric measures, there is a concerning shift from traditional diets to increased UPF reliance, driven by convenience and commercial factors. Addressing this is crucial for healthier choices and combating non-communicable diseases during this pivotal life stage.

Mapping ultra-processed foods (UPFs) in India: a formative research study

BACKGROUND

Increased consumption of ultra-processed foods (UPFs) which have additives such as artificial colours, flavours and are usually high in salt, sugar, fats and specific preservatives, are associated with diet-related non-communicable diseases (NCDs). In India, there are no standard criteria for identifying UPFs using a classification system based on extent and purpose of industrial processing. Scientific literature on dietary intake of foods among Indian consumers classifies foods as unhealthy based on presence of excessive amounts of specific nutrients which makes it difficult to distinguish UPFs from other commercially available processed foods.

METHODS

A literature review followed by an online grocery retailer scan for food label reading was conducted to map the types of UPFs in Indian food market and scrutinize their ingredient list for the presence of ultra-processed ingredients. All UPFs identified were randomly listed and then grouped into categories, followed by saliency analysis to understand preferred UPFs by consumers. Indian UPF categories were then finalized to inform a UPF screener.

RESULTS

A lack of application of a uniform definition for UPFs in India was observed; hence descriptors such as junk-foods, fast-foods, ready-to-eat foods, instant-foods, processed-foods, packaged-foods, high-fat-sugar-and-salt foods were used for denoting UPFs. After initial scanning of such foods reported in literature based on standard definition of UPFs, an online grocery retailer scan of food labels for 375 brands (atleast 3 brands for each food item) confirmed 81 food items as UPFs. A range of packaged traditional recipes were also found to have UPF ingredients. Twenty three categories of UPFs were then developed and subjected to saliency analysis. Breads, chips and sugar-sweetened beverages (e.g. sodas and cold-drinks) were the most preferred UPFs while frozen ready-to-eat/cook foods (e.g. chicken nuggets and frozen kebabs) were least preferred.

CONCLUSION

India needs to systematically apply a food classification system and define Indian food categories based on the level of industrial processing. Mapping of UPFs is the first step towards development of a quick screener that would generate UPF consumption data to inform clear policy guidelines and regulations around UPFs and address their impact on NCDs.

Recent advancements in nanomaterial based optical detection of food additives: a review

Food additives have become a critical component in the food industry. They are employed as preservatives to decelerate the negative effects of environmental and microbial factors on food quality. Currently, food additives are used for a variety of purposes, including colorants, flavor enhancers, nutritional supplements, etc., owing to improvements in the food industry. Since the usage of food additives has increased dramatically, the efficient monitoring of their acceptable levels in food products is quite necessary to mitigate the problems associated with their inappropriate use. The traditional methods used for detecting food additives are generally based on standard spectroscopic and chromatographic techniques. However, these analytical techniques are limited by their high instrumentation cost and time-consuming procedures. The emerging field of nanotechnology has enabled the development of highly sensitive and specific sensors to analyze food additives in a rapid manner. The current article emphasizes the need to detect various food additives owing to their potential negative effects on humans, animals, and the environment. In this article, the role of nanomaterials in the optical sensing of food additives has been discussed owing to their high accuracy, ease-of-use, and excellent sensitivity. The applications of nanosensors for the detection of various food additives have been elaborated with examples. The current article will assist policymakers in developing new rules and regulations to mitigate the adverse effects of toxic food additives on humans and the environment. In addition, the prospects of nanosensors for the optical detection of food additives at a commercial scale have been discussed to combat their irrational use in the food industry.

India's tryst with salt: Dandi march to low sodium salts

Salt plays a critical role in India's past as well as its present, from Dandi March to its role as a vehicle for micronutrient fortification. However, excess salt intake is a risk factor for high blood pressure and cardiovascular diseases (CVDs). Indians consume double the World Health Organization recommended daily salt (<5 g). India has committed to a 30 per cent reduction in sodium intake by 2025. Evidence based strategies for population sodium intake reduction require a moderate reduction in salt in - home cooked foods, packaged foods and outside-home foods. Reducing the sodium content in packaged food includes policy driven interventions such as front-of-package warning labels, food reformulation, marketing restrictions and taxation on high sodium foods. For foods outside of the home, setting standards for foods purchased and served by schemes like mid-day meals can have a moderate impact. For home cooked foods (the major source of sodium), strategies include advocacy for reducing salt intake. In addition to mass media campaigns for awareness generation, substituting regular salt with low sodium salt (LSS) has the potential to reduce salt intake even in the absence of a major shift in consumer behaviour. LSS substitution effectively lowers blood pressure and thus reduces the risk of CVDs. Further research is required on the effect of LSS substitutes on patients with chronic kidney disease. India needs an integrated approach to sodium reduction that uses evidence based strategies and can be implemented sustainably at scale. This will be possible only through scientific research, governmental leadership and a responsive evidence-to-action approach through a multi-stakeholder coalition.

Unique attributes of obesity in India: A narrative review

Obesity has become a burgeoning epidemic in India, even though the country is still dealing with undernutrition. As a significant determinant of the Metabolic Syndrome (MetS) and non-communicable diseases (NCDs) such as type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD), understanding the Indian context of the problem and learning how to deal with the obesity epidemic in this country has gained paramount importance. This narrative review points to the unique features of the obesity epidemic in India and its associated contributing factors, including the evolving nature of the Indian diet, the peculiarity of the increased adiposity at lower BMIs, unique obesity-associated genetic variants in Indians, the contribution of the gut microbiome, the impact of chronic inflammation and the role of ambient air pollution, and the contribution of decreased physical activity levels concerning the rapid urbanisation and the built environment. We believe that disseminating our insights into these unique features influencing the development of obesity in India will help increase global awareness and pave the way for better control and management of this obesity epidemic.

Quantifying the burden of lipid anomalies among adolescents in India

Background

The present study’s aim is to quantify the burden of lipid abnormalities (excessive non-high-density lipoprotein (non-HDL) cholesterol and low-density lipoprotein (LDL) cholesterol) among Indian adolescents. Which has emerged as a significant covariate of coronary heart disease (CHD).

Methods

The present study aims to unearth the prevalence of any lipid anomalies, their level, and types of lipid profiles among adolescents in India using the Comprehensive National Nutrition Survey 2016–18 i.e., cross-sectional data. Descriptive and bivariate statistical analyses have been used to check the associations and significant differences between groups of individuals suffering from any type of lipid abnormalities.

Results

A total of 35,830 adolescents aged between 10 and 19 years (mean age:14.36 yrs.; SD = 2.81 for males and 14.39 yrs.; SD = 2.78 for females) were included. Roughly 77 percent of the adolescents are suffering from any lipid anomalies. Their mean lipid levels are 140.6 (SD = 32.9), 84.1 (SD = 24.8), 47.3 (SD = 10.7), and 95.3 (SD = 50.0) for total cholesterol, LDL, HDL, and triglycerides, respectively. A higher proportion of adolescents suffered from lipid anomalies among those who were overweight or obese (89%, 95% CI 85, 92) and pre-diabetics (81%, 95% CI 78, 83) compared to each of their counterparts. Furthermore, a considerable proportion of samples with vitamin A (70%, 95% CI 68, 73), D (81%, 95% CI 79, 82), and B12 deficits (73%,95% CI 72, 75), as well as zinc (77%, 95% CI 76, 77), folate (76%, 95% CI 74, 77), and iron deficits (75%,95% CI 73, 77), were suffering from any lipid anomalies. Of individuals who consume an unhealthy diet, 77% (95% CI 76, 78) of them were suffering from any lipid anomalies than others.

Conclusions

The study contends that preventing the increasing burden of lipid abnormalities among Indian adolescents is essential. Vitamin and mineral deficiencies and unhealthy dietary habits are significantly associated with high LDL and non-HDL levels. In the longer run, this might cause the early onset of hypertension, diabetes, and CHDs. Hence, appropriate interventions are needed to curtail these early onsets by primarily focusing on adolescents.

Nutritional Quality of Pre-Packaged Foods in China under Various Nutrient Profile Models

This study used various nutrient profile models (NPMs) to evaluate the nutritional quality of pre-packaged foods in China to inform future food policy development. Nutrition data for pre-packaged foods were collected through FoodSwitch China in 2017-2020. The analyses included 73,885 pre-packaged foods, including 8236 beverages and 65,649 foods. Processed foods (PFs) and ultra-processed foods (UPFs) accounted for 8222 (11.4%) and 47,003 (63.6%) of all products, respectively. Among the 55,425 PFs and UPFs, the overall proportion of products with an excessive quantity of at least one negative nutrient was 86.0% according to the Chilean NPM (2019), 83.3% for the Pan American Health Organization NPM (PAHO NPM), and 90.6% for the Western Pacific Region NPM for protecting children from food marketing (WPHO NPM), respectively. In all NPMs, 70.4% of PFs and UPFs were identified as containing an excessive quantity of at least one negative nutrient, with higher proportions of UPFs compared to PFs. Food groups exceeding nutrient thresholds in most NPMs included snack foods, meat and meat products, bread and bakery products, non-alcoholic beverages, confectionery, and convenience foods. In conclusion, PFs and UPFs accounted for three-fourths of pre-packaged foods in China, and the majority of PFs and UPFs exceeded the threshold for at least one negative nutrient under all three NPMs. Given the need to prevent obesity and other diet-related chronic diseases, efforts are warranted to improve the healthiness of foods in China through evidence-based food policy.