Indian Academy of Pediatrics Guidelines on the Fast and Junk Foods, Sugar Sweetened Beverages, Fruit Juices, and Energy Drinks

Gupta, Piyush; Shah, Dheeraj; Kumar, Praveen; Bedi, Nidhi; Mittal, H. M.; Mishra, Kirtisudha; Khalil, Sumaira; Ke, Elizabeth; Dalal, Rupal; Harish, Rekha; Kinjawadekar, Upendra; Indumathi, Kristin; Gandhi, Sheetal S; Dadhich, JP; Mohanty, Niranjan; Gaur, Ajay; Rawat, A K; Basu, Srikanta; Singh, R. P.; Kumar, R Remesh; Parekh, Bakul Jayant; Soans, Santosh; Shastri, Digant; Sachdev, H. P. S.

doi:10.1007/s13312-019-1612-5

Cited by 37 publications

(21 citation statements)

References 69 publications

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“…This finding is similar to that of Hoefelmann et al [31] who found 45.7% of 14-24-year-olds had poor sleep quality. Explanations for this high prevalence may be related to biological, social, and behavioral factors such as age, economic class, physical inactivity, screen time, school activities, caffeine intake, and chronic diseases [9,10,[32][33][34][35].Despite the considerable coffee consumption among the studied adolescents and evidence that high and moderate caffeine consumption is associated with sleep disorders in adolescents [36,37], there was no significant difference in coffee consumption between the groups of good and poor sleepers.…”

Section: Discussionmentioning

confidence: 84%

Association between the Degree of Processing of Consumed Foods and Sleep Quality in Adolescents

et al. 2020

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The aim of this study was to evaluate the association between food consumption by the degree of processing and sleep quality in adolescents from São Luís, Maranhão, Brazil. A cross-sectional study with 2499 adolescents (aged 18 to 19 years) was developed. Exposure variables included energy contributions of food groups stratified by the NOVA classification: fresh or minimally processed foods (FMPF), processed foods (PF), and ultra-processed foods (UPF), categorized into quartiles. The outcome variable was sleep quality assessed with the Pittsburgh Sleep Quality Index. Associations between these variables were estimated by Poisson regression, with robust estimation of variance. Most of the adolescents had poor sleep quality (57.1%). There were associations between FMPF in the third (57.1%–66.0% of total calories; prevalence ratio PR = 0.88; 95% CI: 0.80, 0.97) and fourth quartile (66.1%–95.8% of total calories; PR = 0.87; 95% CI: 0.78, 0.96) and lower prevalence of poor sleep quality. The fourth quartile of UPF (44.3%–81.8% of total calories; PR = 1.14; 95% CI: 1.03, 1.27) was associated with a higher prevalence of poor sleep quality. Higher intake of FMPF is a protective factor for poor sleep quality, whereas higher UPF consumption is a risk factor for poor sleep quality.

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Section: Discussionmentioning

confidence: 84%

Association between the Degree of Processing of Consumed Foods and Sleep Quality in Adolescents

et al. 2020

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“…It has been argued that efforts to reduce sugar consumption need to be extended to 100% fruit juice [ 72 ]. In 2019, the Indian Academy of Pediatrics recommended fruit juice should not be given to infants and young children below the age of two years, and that very limited amounts should be given to older children [ 73 ].…”

Section: Resultsmentioning

confidence: 99%

A Fit-for-Purpose Nutrient Profiling Model to Underpin Food and Nutrition Policies in South Africa

Frank

Thow

et al. 2021

Nutrients

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South Africa (SA) is facing a rising prevalence of obesity and diet-related chronic diseases. The government is seeking to develop effective, evidence-based policy measures to address this. A well-designed, fit-for-purpose nutrient profiling model (NPM) can aid policy development. The aim of this study was to develop a fit-for-purpose NPM in SA. Steps included: (1) determining the purpose and target population; (2) selecting appropriate nutrients and other food components to include; (3) selecting a suitable NPM type, criteria and base; and (4) selecting appropriate numbers and thresholds. As part of the evaluation, the nutritional composition of packaged foods containing nutritional information (n = 6747) in the SA food supply chain was analyzed, a literature review was undertaken and various NPMs were evaluated. Our findings indicated that it is most appropriate to adapt an NPM and underpin regulation with a restrictive NPM that limits unhealthy food components. The Chile 2019 NPM was identified as suitable to adapt, and total sugar, saturated fat, sodium and non-sugar sweetener were identified as appropriate to restrict. This NPM has the potential to underpin restrictive policies, such as front-of-package labelling and child-directed marketing regulations in SA. These policies will support the fight against obesity and NCDs in the country.

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“…Providing healthy meals and snacks in school canteens and ban on junk food in school canteens have been recommended and the recommendation has been implemented in certain Indian schools since 2015. 12 In the present study, >75% reported non-compliance to WIFS Program, which is part of national programs like National Iron Plus Initiative (NIPI) and Anemia Mukt Bharat, to curb anemia. 13,14 As per NFHS 4 Survey 2016, prevalence of anemia among adolescents was 54% and 29% among girls and boys, respectively.…”

Section: Discussionmentioning

confidence: 55%

Association of nutritional status with dietary and behavioural patterns among adolescents

Devasya

Jyothidev

2020

Int J Contemp Pediatr

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Background: Changing trends in dietary habits, behavioral patterns, and prevalence of overweight/obesity among adolescents is of great concern.Methods: 6469 school children from five districts of Kerala, India were enrolled. Dietary habits and behavioral patterns were collected using a pretested questionnaire. Anthropometric measurements were recorded and compared with regional Indian Academy Pediatrics (IAP) reference charts. Data was computed and analyzed. Results: Mean age: Boys 14.51±0.93, Girls 14.42±1.04 years. Male: Female ratio 0.92:1. Practices like missing breakfast, non-compliance to weekly Iron Folic Acid supplementation and not taking exercise >2 hours/week were more in girls. Increased consumption of junk food, screen time >2 hours/week and not sharing life events with parents were more in boys. Mean anthropometric parameters were <50th percentile of reference charts. 6.1% had low BMI (boys, 4.2% vs. girls,7.6%,), 12.3% were overweight (boys, 14.9% vs. girls,10.2%) and 4.4% had obesity (boys, 4.7% vs. girls, 4.2%). Mean anthropometric parameters were higher in more urbanized districts. Daily consumption of junk food showed significant association with obesity and exercise >2 hours/week with normal BMI.Conclusions: Dietary and behavioral patterns and prevalence of overweight/obesity showed variability with respect to gender and region of residence. 12% were overweight and 4% had obesity. Daily consumption of junk food showed significant association with overweight/obesity and daily exercise >2 hours/week with normal BMI. Health education addressing behavioral change is recommended for better health.

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Indian Academy of Pediatrics Guidelines on the Fast and Junk Foods, Sugar Sweetened Beverages, Fruit Juices, and Energy Drinks

Cited by 37 publications

References 69 publications

Association between the Degree of Processing of Consumed Foods and Sleep Quality in Adolescents

Association between the Degree of Processing of Consumed Foods and Sleep Quality in Adolescents

A Fit-for-Purpose Nutrient Profiling Model to Underpin Food and Nutrition Policies in South Africa

Association of nutritional status with dietary and behavioural patterns among adolescents

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