Summary Restricting children's exposures to marketing of unhealthy foods and beverages is a global obesity prevention priority. Monitoring marketing exposures supports informed policymaking. This study presents a global overview of children's television advertising exposure to healthy and unhealthy products. Twenty‐two countries contributed data, captured between 2008 and 2017. Advertisements were coded for the nature of foods and beverages, using the 2015 World Health Organization (WHO) Europe Nutrient Profile Model (should be permitted/not‐permitted to be advertised). Peak viewing times were defined as the top five hour timeslots for children. On average, there were four times more advertisements for foods/beverages that should not be permitted than for permitted foods/beverages. The frequency of food/beverages advertisements that should not be permitted per hour was higher during peak viewing times compared with other times (P < 0.001). During peak viewing times, food and beverage advertisements that should not be permitted were higher in countries with industry self‐regulatory programmes for responsible advertising compared with countries with no policies. Globally, children are exposed to a large volume of television advertisements for unhealthy foods and beverages, despite the implementation of food industry programmes. Governments should enact regulation to protect children from television advertising of unhealthy products that undermine their health.

Summary Addressing obesity and improving the diets of populations requires a comprehensive societal response. The need for broad‐based action has led to a focus on accountability of the key factors that influence food environments, including the food and beverage industry. This paper describes the Business Impact Assessment—Obesity and population‐level nutrition (BIA‐Obesity) tool and process for benchmarking food and beverage company policies and practices related to obesity and population‐level nutrition at the national level. The methods for BIA‐Obesity draw largely from relevant components of the Access to Nutrition Index (ATNI), with specific assessment criteria developed for food and nonalcoholic beverage manufacturers, supermarkets, and chain restaurants, based on international recommendations and evidence of best practices related to each sector. The process for implementing the BIA‐Obesity tool involves independent civil society organisations selecting the most prominent food and beverage companies in each country, engaging with the companies to understand their policies and practices, and assessing each company's policies and practices across six domains. The domains include: “corporate strategy,” “product formulation,” “nutrition labelling,” “product and brand promotion,” “product accessibility,” and “relationships with other organisations.” Assessment of company policies is based on their level of transparency, comprehensiveness, and specificity, with reference to best practice.

Summary The Healthy Food Environment Policy Index (Food‐EPI) aims to assess the extent of implementation of recommended food environment policies by governments compared with international best practices and prioritize actions to fill implementation gaps. The Food‐EPI was applied in 11 countries across six regions (2015‐2018). National public health nutrition panels (n = 11‐101 experts) rated the extent of implementation of 47 policy and infrastructure support good practice indicators by their government(s) against best practices, using an evidence document verified by government officials. Experts identified and prioritized actions to address implementation gaps. The proportion of indicators at “very low if any,” “low,” “medium,” and “high” implementation, overall Food‐EPI scores, and priority action areas were compared across countries. Inter‐rater reliability was good (GwetAC2 = 0.6‐0.8). Chile had the highest proportion of policies (13%) rated at “high” implementation, while Guatemala had the highest proportion of policies (83%) rated at “very low if any” implementation. The overall Food‐EPI score was “medium” for Australia, England, Chile, and Singapore, while “very low if any” for Guatemala. Policy areas most frequently prioritized included taxes on unhealthy foods, restricting unhealthy food promotion and front‐of‐pack labelling. The Food‐EPI was found to be a robust tool and process to benchmark governments' progress to create healthy food environments.

Similar to television, unhealthy food ads predominate in content aimed toward children on YouTube. Policies regulating food marketing to children need to be extended to cover online content in line with a rapidly-evolving digital media environment. Service providers of social media can play a part in limiting unhealthy food advertising to children.

BackgroundFood advertising on television (TV) is well known to influence children's purchasing requests and models negative food habits in Western countries. Advertising of unhealthy foods is a contributor to the obesogenic environment that is a key driver of rising rates of childhood obesity. Children in developing countries are more at risk of being targeted by such advertising, as there is a huge potential for market growth of unhealthy foods concomitant with poor regulatory infrastructure. Further, in developing countries with multi-ethnic societies, information is scarce on the nature of TV advertising targeting children.ObjectivesTo measure exposure and power of TV food marketing to children on popular multi-ethnic TV stations in Malaysia.DesignEthnic-specific popular TV channels were identified using industry data. TV transmissions were recorded for each channel from November 2012 to August 2013 (16 hr/day) for randomly selected weekdays and weekend days during normal days and repeated during school holidays (n=88 days). Coded food/beverage advertisements were grouped into core (healthy), non-core (non-healthy), or miscellaneous (unclassified) food categories. Peak viewing time (PVT) and persuasive marketing techniques were identified.ResultsNon-core foods were predominant in TV food advertising, and rates were greater during school holidays compared to normal days (3.51 vs 1.93 food ads/hr/channel, p<0.001). During normal days’ PVT, the ratio of non-core to core food advertising was higher (3.25 food ads/hr/channel), and this more than trebled during school holidays to 10.25 food ads/hr/channel. Popular channels for Indian children had the lowest rate of food advertising relative to other ethnic groups. However, sugary drinks remained a popular non-core product advertised across all broadcast periods and channels. Notably, promotional characters doubled for non-core foods during school holidays compared to normal days (1.91 vs 0.93 food ads/hr/channel, p<0.001).ConclusionsThis study highlights non-core food advertising, and predominantly sugary drinks are commonly screened on Malaysian TV channels. The majority of these sugary drinks were advertised by multinational companies, and this observation warrants regulatory attention.

A single macronutrient approach with WPS in malnourished CAPD patients was shown to achieve DPI adequacy and improvements in weight, BMI, skin fold measures, serum urea and nPCR level. CLINICAL TRIAL REGISTRY: www.clinicaltrials.gov (NCT03367000).

BackgroundTelevision food advertising (TVFA) is the most dominant medium in the obesogenic environment promoting unhealthy food choices in children.MethodsThis cross-sectional study investigated children’s attitudes towards TVFA by examining four well-cited induction factors namely advertisement recognition, favourite advertisement, purchase request, and product preference. Malaysian urban schoolchildren (7 to 12 years) of equal ethnic distribution were voluntarily recruited (n = 402). Questionnaire administration was facilitated using a food album of 24 advertised food products.ResultsMajority of children were older (66.2 %), girls (56.7 %) with one-third either overweight or obese. TV viewing time for weekend was greater than weekdays (4.77 ± 2.60 vs 2.35 ± 1.40 h/day) and Malay children spent more time watching TV compared to Chinese (p < 0.001) and Indian (p < 0.05) children. Chinese children spent significantly more time surfing the internet compared to either Malay or Indian (p < 0.01). Median score trend was advertisement recognition > favourite advertisement and product preference > purchase request, and significantly greater (p < 0.001) for non-core than core food advertisements. TV viewing time and ethnicity significantly influenced all induction factors for non-core foods. After correcting for all influencing factors, ‘favourite advertisement’ (IRRfinal adj: 1.06; 95 % CI: 1.04 to 1.08), ‘purchase request’ (IRRfinal adj: 1.06; 95 % CI: 1.04 to 1.08) and ‘product preference’ (IRRfinal adj: 1.04; 95 % CI: 1.02 to 1.07) still were significantly associated with TV viewing time. For every additional hour of TV viewing, the incidence rates increased significantly by 1.04 to 1.06 for ‘favourite advertisement’, ‘purchase request’ and ‘product preference’ related to non-core foods amongst Malay and Indian children. However, Chinese children only demonstrated a significant association between TV viewing time and ‘favourite advertisement’ (IRRadj: 1.06; 95 % CI: 1.01 to 1.10).ConclusionThis study highlights TVFA as a powerful medium predisposing the mind of children to non-core foods through appealing TV commercials, promoting purchase request and generating unhealthy food preferences in early childhood.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-2392-z) contains supplementary material, which is available to authorized users.

BackgroundPoor appetite could be indicative of protein energy wasting (PEW) and experts recommend assessing appetite in dialysis patients. Our study aims to determine the relationship between PEW and appetite in haemodialysis (HD) patients.MethodsHD patients (n=205) self-rated their appetite on a scale of 1 to 5 as very good (1), good (2), fair (3), poor (4) or very poor (5). Nutritional markers were compared against appetite ratings. Using logistic regression analysis associations between dichotomized appetite with PEW diagnosis were determined as per the International Society of Renal Nutrition and Metabolism (ISRNM) criteria and alternate objective measures. Data was adjusted for socioeconomic and demographic characteristics.ResultsPoorer appetite ratings were significantly associated with lower income (P = 0.021), lower measurements (P < 0.05) for mid-arm muscle circumference, mid-arm muscle area and lean tissue mass (LTM), serum urea (P = 0.007) and creatinine (P = 0.005). The highest hsCRP (P = 0.016) levels occurred in patients reporting the poorest appetite. Serum albumin did not differ significantly across appetite ratings. Poor oral intake represented by underreporting (EI/BMR < 1.2) was evident for all appetite ratings. PEW was prevalent irrespective of appetite ratings (very good: 17.6 %, good: 40.2 %, fair: 42.3 % and poor: 83.3 %). After dichotomizing appetite ratings into normal and diminished categories, there was a marginal positive association between diminished appetite and overall PEW diagnosis (ORadj: 1.71; 95 % CI: 0.94–3.10, P = 0.079). Amongst individual ISRNM criteria, only BMI <23 kg/m2 was positively associated with diminished appetite (ORadj: 2.17; 95 % CI: 1.18–3.99). However, patients reporting diminished appetite were more likely to have lower LTM (ORadj: 2.86; 95 % CI: 1.31–6.24) and fat mass (ORadj: 1.91; 95 % CI: 1.03–3.53), lower levels of serum urea (ORadj: 2.74; 95 % CI: 1.49–5.06) and creatinine (ORadj: 1.99; 95 % CI: 1.01–3.92), higher Dialysis Malnutrition Score (ORadj: 2.75; 95 % CI: 1.50–5.03), Malnutrition Inflammation Score (ORadj: 2.15; 95 % CI: 1.17–3.94), and poorer physical (ORadj: 3.49; 95 % CI: 1.89–6.47) and mental (ORadj: 5.75; 95 % CI: 3.02–10.95) scores.ConclusionsA graded but non-significant increase in the proportion of PEW patients occurred as appetite became poorer. However, after dichotomization, a positive but marginally significant association was observed between diminished appetite and PEW diagnosis.Electronic supplementary materialThe online version of this article (doi:10.1186/s12882-015-0073-x) contains supplementary material, which is available to authorized users.