Estimate the impact of 20 % flat-rate and tiered sugary drink tax structures on the consumption of sugary drinks, sugar-sweetened beverages and 100 % juice by age, sex and socio-economic position.

We modelled the impact of price changes – for each tax structure – on the demand for sugary drinks by applying own- and cross-price elasticities to self-report sugary drink consumption measured using single-day 24-h dietary recalls from the cross-sectional, nationally representative 2015 Canadian Community Health Survey-Nutrition. For both 20 % flat-rate and tiered sugary drink tax scenarios, we used linear regression to estimate differences in mean energy intake and proportion of energy intake from sugary drinks by age, sex, education, food security and income.

Canada.

19 742 respondents aged 2 and over.

In the 20 % flat-rate scenario, we estimated mean energy intake and proportion of daily energy intake from sugary drinks on a given day would be reduced by 29 kcal/d (95 % UI: 18, 41) and 1·3 % (95 % UI: 0·8, 1·8), respectively. Similarly, in the tiered tax scenario, additional small, but meaningful reductions were estimated in mean energy intake (40 kcal/d, 95 % UI: 24, 55) and proportion of daily energy intake (1·8 %, 95 % UI: 1·1, 2·5). Both tax structures reduced, but did not eliminate, inequities in mean energy intake from sugary drinks despite larger consumption reductions in children/adolescents, males and individuals with lower education, food security and income.

Sugary drink taxation, including the additional benefit of taxing 100 % juice, could reduce overall and inequities in mean energy intake from sugary drinks in Canada.

To explore relationships between disability, food insecurity (FI) and age and examine how socio-economic factors impact risk of FI among disabled people in working and older age.

Logistic regression models used to analyse the contribution of socio-economic factors to gaps in risk of FI for disabled people. In models stratified into working and older age groups, differences in risk of FI for disabled and non-disabled people were examined by employment, education and assets.

England, Wales and Northern Ireland, 2016 and 2018

A representative sample of 6187 adults aged 16+, of whom 28 % were disabled, from the Food & You survey.

The gap in FI risk by disability status decreased as age increased. For ages 25–34 for disabled v. non-disabled people, risk of FI was 31 % (95 % CI 21–41 %) v. 10 % (8–12 %); at ages 45 to 54, it was 18 % (11–23 %) v. 7 % (5–8 %), and at ages 75+, there was no gap in risk. Accounting for socio-economic variables halved the gap in risk among working ages. However, among working-age adults, FI among disabled people in full-time work was 15 % (11–20 %) compared with only 7 % (6–9 %) among non-disabled people in full-time work. Among older people, disabled people without savings were at higher risk of FI (5 % (3–7 %)) than non-disabled people without savings (2 % (1–3 %)) but having savings closed risk gap.

Socio-economic resources partially explain disparities in FI risk when disabled. Disparities remained for people in full-time work and among people without savings in older age.

To describe the eating contexts and estimate their associations with socio-demographic factors in a sample of Brazilian adolescents.

Cross-sectional study. We used an exploratory questionnaire about eating contexts (encompassing regularity of meals, places where they occur and if they take place with attention and in company), which was submitted to cluster analysis. Subsequently, three clusters were identified: cluster 1, ‘appropriate eating contexts at breakfast, lunch and dinner’; cluster 2, ‘inappropriate eating context at breakfast’ and cluster 3, ‘inappropriate eating context at dinner’. Multinomial logistic regression models were performed, without and with adjustments, using cluster 1 as reference.

Twenty-nine public schools of Juiz de Fora, MG, Southeast Brazil.

Adolescents, 14–19-year-olds (n 835).

We observed relevant prevalence of adolescents omitting breakfast (52·9 %) and dinner (39·3 %), and who had the habit of eating sitting/lying on the couch/bed or standing/walking, and in front of screens. Breakfast usually occurred unaccompanied (70·8 %); around half (47·5 %) and little over a third (36·1 %) of the sample also would usually have lunch and dinner unaccompanied, respectively. Furthermore, through multivariate analysis, we found associations of eating contexts clusters with female sex (more likely in clusters 2 and 3), age range 14–15-year-olds (less likely in cluster 2) and higher mother’s schooling (more likely in cluster 3).

We verified an alarming prevalence of adolescents with eating contexts unaligned with healthy eating recommendations. Additionally, inappropriate eating contexts at breakfast and/or at dinner were associated with socio-demographic factors (sex, age range and mother’s schooling).

To examine the prevalence and determinants of food insecurity among private sector service workers in Finland and assess validity of the Household Food Insecurity Access Scale (HFIAS) tool.

In this cross-sectional study, food insecurity and background characteristics were collected from Finnish private service workers via electronic questionnaires (2019) and national register data (2018–2019). We conducted univariate and multivariate logistic regression analyses to determine the variables explaining food insecurity. Validity of HFIAS was assessed with rotated principal component analysis and Cronbach’s α.

Members of the trade union for private sector service workers, Service Union United (PAM), from all municipalities in Finland participated in the study in 2019.

The subjects were 6435 private sector workers that were members of the Service Union United (PAM) in Finland. Mean age of participants was 44 years (sd 12·7 years).

Two-thirds of the participants (65 %) were food insecure with over a third (36 %) reporting severe food insecurity. Reporting great difficulties in covering household expenses and young age markedly increased the risk of severe food insecurity (OR 15·05; 95 % CI 10·60, 21·38 and OR 5·07; 95 % CI 3·94, 6·52, respectively). Not being married, low education, working in the hospitality industry, being male and living in rented housing also increased the probability of severe food insecurity. The HFIAS tool demonstrated acceptable construct and criterion validity.

Severe food insecurity was widespread and associated with low socio-economic status, young age and being male among Finnish private sector service workers, emphasising the need for regular monitoring of food insecurity in Finland.

Using newly harmonised individual-level data on health and socio-economic environments in Latin American cities (from the Salud Urbana en América Latina (SALURBAL) study), we assessed the association between obesity and education levels and explored potential effect modification of this association by city-level socio-economic development.

This cross-sectional study used survey data collected between 2002 and 2017. Absolute and relative educational inequalities in obesity (BMI ≥ 30 kg/m2, derived from measured weight and height) were calculated first. Then, a two-level mixed-effects logistic regression was run to test for effect modification of the education–obesity association by city-level socio-economic development. All analyses were stratified by sex.

One hundred seventy-six Latin American cities within eight countries (Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico and Peru).

53 186 adults aged >18 years old.

Among women, 25 % were living with obesity and obesity was negatively associated with educational level (higher education–lower obesity) and this pattern was consistent across city-level socio-economic development. Among men, 18 % were living with obesity and there was a positive association between education and obesity (higher education–higher obesity) for men living in cities with lower levels of development, whereas for those living in cities with higher levels of development, the pattern was inverted and university education was protective of obesity.

Among women, education was protective of obesity regardless, whereas among men, it was only protective in cities with higher levels of development. These divergent results suggest the need for sex- and city-specific interventions to reduce obesity prevalence and inequalities.

To assess ultra-processed food (UPF) consumption and its socio-demographic, psychosocial and behavioural correlates in a general population of Italian children, adolescents and adults.

Cross-sectional telephone-based survey

Italy, 2010–2013.

In total, 9078 participants (5–97 years) from the Italian Nutrition & Health Survey. Dietary intakes were collected by a 1-d 24-h dietary recall. UPF was defined by the NOVA classification and expressed as percentage of total energies.

Average energy intake from UPF (95 % CI) was 17·3 % (17·1 %, 17·6 %) among adults and 25·9 % (24·8 %, 27·0 %) in children/adolescents. Top sources of UPF were processed meats (32·5 %) and bread substitutes (16·7 %). Among adults, age (β = −3·10; 95 % CI (−4·40, −1·80) for >65 years v. 20–40 years; βs are dimensionless) and residing in Southern Italy (β = −0·73; 95 % CI (−1·32, −0·14) v. Northern) inversely associated with UPF. Screen view during meals was directly linked to UPF, as well as poor self-rated health (β = 5·32; 95 % CI (2·66, 7·99)), adverse life events (β = 2·33; 95 % CI (1·48, 3·18)) and low sleep quality (β = 2·34; 95 % CI (1·45, 3·23)). Boys consumed two-point percent more UPF of the total energy than girls (β = 2·01; 95 % CI (0·20, 3·82)). For all ages, a Mediterranean diet was inversely associated with UPF (β = −4·86; 95 % CI (−5·53, −4·20) for good v. poor adherence in adults and (β = −5·08; 95 % CI (−8·38, −1·77) for kids).

UPF contributes a modest proportion of energy to the diets of Italian adults while being one-quarter of the total energies in children/adolescents. UPF was associated with several psychosocial factors and eating behaviours. Increased adherence to Mediterranean diet would possibly result in lower UPF consumption.

The Cambodian population has experienced an increase in the proportion of stunted children who have overweight mothers during a period of rapid social and economic growth. We aimed to identify socio-economic factors associated with this household-level double burden over time.

We used data from four Cambodia Demographic and Health Surveys from 2000 to 2014 to study the impact of socio-economic status (SES) on the link between child stunting and overweight mothers in two periods 2000–2005 v. 2010–2014. We hypothesised that SES would be a primary factor associated with this phenomenon.

We included 14 988 children under the age of 5 years, among non-pregnant mothers aged 15–49 years of age and conducted analysis on a subsample of 1572 children with overweight mothers.

Nationally representative household survey across all regions.

SES factors, specifically household wealth and maternal employment in service or manual occupations (in 2010–2014), are the main drivers of stunting among children of overweight mothers. Children with overweight mothers in the poorest households are more than twice as likely to be stunted than in the richest in both periods (2000–2005: adjusted OR (aOR) = 2·53, 95 % CI: 1·25, 5·13; 2010–2014: aOR = 2·61, 95 % CI: 1·43, 4·77), adjusting for other SES factors, indicating that despite decreasing income inequality, the poorest continue to bear excess risk of a double burden of malnutrition. Maternal short stature also doubled the likelihood of child stunting in both periods, which suggests intergenerational transmission of adversity and physical underdevelopment.

Socio-economic inequalities should be addressed to reduce disparities in the household-level double burden of malnutrition.

This study assesses the prevalence of childhood undernutrition from 2001 to 2016 and estimate projections of undernutrition for 2016–2030 in Nepal.

The study used data from four rounds of a cross-sectional survey of Nepal Demographic and Health Survey (NDHS) conducted in 2001, 2006, 2011 and 2016. Descriptive analyses were conducted to calculate prevalence, binary logistic regression was used to test the significance of trends over time and autoregressive integrated moving average model was used to forecast the prevalence of childhood undernutrition.

The children and household member datasets from four NDHS were merged to assess the trends of childhood undernutrition in Nepal.

A total of 16 613 children (8399 male and 8214 female) under 5 years of age were selected for anthropometric measurements using a stratified cluster random sampling method.

Overall results show a decline in prevalence of stunting from 57·2 % to 35·8 % (P < 0·001), underweight from 42·7 % to 27 % (P < 0·001) and wasting from 11·2 % to 9·7 % (P < 0·05) from 2001 to 2016. However, different population subgroups have a higher prevalence of undernutrition than national average. Further, the analyses show that the prevalence of stunting will decline to 14·3 % and wasting to 8·4 % by 2030.

A remarkable decrease in the prevalence of stunting and underweight has been observed over the last 15 years. Nepal is likely to achieve the nutritional targets for stunting but not for wasting by 2030. Given large subpopulation variations, further improvement in undernutrition require more specific, targeted and localised programmes.

This process evaluation aimed to understand factors affecting the implementation of a government-sponsored short message service (SMS) programme for delivering nutrition information to rural populations, including message access, acceptability and putting messages into action.

The study was nested within a larger randomised controlled trial. Cross-sectional data collection included structured surveys and in-depth interviews. Data were analysed for key trends and themes using Stata and ATLAS.ti software.

The study took place in Tanzania’s Mtwara region.

Surveys were conducted with 205 women and 93 men already enrolled in the randomised controlled trial. A sub-set of 30 women and 14 men participated in the in-depth interviews.

Among women relying on a spouse’s phone, sharing arrangements impeded regular SMS access; men were commonly away from home, forgot to share SMS or did not share them in women’s preferred way. Phone-owning women faced challenges related to charging their phones and defective handsets. Once SMS were delivered, most participants viewed them as trustworthy and comprehensible. However, economic conditions limited the feasibility of applying certain recommendations, such as feeding meat to toddlers. A sub-set of participants concurrently enrolled in an interpersonal counselling (IPC) intervention indicated that the SMS provided reminders of lessons learned during the IPC; yet, the SMS did not help participants contextualise information and overcome the challenges of putting that information into practice.

The challenges to accessing and implementing SMS services highlighted here suggest that such platforms may work well as one component of a comprehensive nutrition intervention, yet not as an isolated effort.

To investigate the prevalence and socio-economic inequalities in breast milk, breast milk substitutes (BMS) and other non-human milk consumption, by children under 2 years in low- and middle-income countries (LMIC).

We analysed the prevalence of continued breast-feeding at 1 and 2 years and frequency of formula and other non-human milk consumption by age in months. Indicators were estimated through 24-h dietary recall. Absolute and relative wealth indicators were used to describe within- and between-country socio-economic inequalities.

Nationally representative surveys from 2010 onwards from eighty-six LMIC.

394 977 children aged under 2 years.

Breast-feeding declined sharply as children became older in all LMIC, especially in upper-middle-income countries. BMS consumption peaked at 6 months of age in low/lower-middle-income countries and at around 12 months in upper-middle-income countries. Irrespective of country, BMS consumption was higher in children from wealthier families, and breast-feeding in children from poorer families. Multilevel linear regression analysis showed that BMS consumption was positively associated with absolute income, and breast-feeding negatively associated. Findings for other non-human milk consumption were less straightforward. Unmeasured factors at country level explained a substantial proportion of overall variability in BMS consumption and breast-feeding.

Breast-feeding falls sharply as children become older, especially in wealthier families in upper-middle-income countries; this same group also consumes more BMS at any age. Country-level factors play an important role in explaining BMS consumption by all family wealth groups, suggesting that BMS marketing at national level might be partly responsible for the observed differences.

The aim of this study was an assessment of the effects of urbanisation level, family size and parental education on body mass index (BMI) and mid-upper arm circumference (MUAC) among Polish schoolchildren in cross-sectional surveys conducted between 1966 and 2012.

The analysis involved schoolchildren measured in four Polish Anthropological Surveys (1966, 1978, 1988 and 2012). Socio-economic factors involved: urbanisation level (city, town and village), family size (one child, two children, three children, four or more children), and father’s and mother’s education (lower and higher education).

Regions in Poland – cities: Warsaw, Lodz and Wroclaw; towns: Bystrzyca Klodzka, Pinczow, Siemiatycze, Wolsztyn and their rural surroundings.

A total sample consisted of 63 757 children (31 774 boys and 31 983 girls) aged 7–18 years.

Between 1966 and 1988, both BMI and MUAC had significantly higher values in children from cities, in families with one child and with higher parental education (P < 0·05). However, MUAC revealed significant differences between particular socio-economic groups more frequently than BMI. In 2012, urbanisation level and parental education ceased to show a differentiating effect on both indicators, while family size remained a significant social factor for both measures (BMI: P < 0·05; MUAC: P < 0·01).

Since MUAC reflected socio-economic differences more frequently than BMI, it could be a more sensitive and reliable anthropometric measure revealing the effects of socio-economic factors on children’s nutritional status.

Understanding trends in grain consumption is essential to tackle the low consumption of healthful grain foods. This study aimed to evaluate trends and determinants of grain foods meeting the ≤10:1 carbohydrate:fibre ratio (≤10:1 ratio) in Brazil and to estimate this intake for the next years.

Three editions of the cross-sectional, population-based study Health Survey of São Paulo (2003, 2008 and 2015).

Urban area of São Paulo, Brazil.

The sample included 5801 participants aged 12 years or more.

A growing trend in the intake of these foods (0·9 percentage of energy (%E) in 2003 to 1·5 %E in 2015) was observed. Also, the proportion of the population consuming at least one grain food meeting the ≤10:1 ratio increased from 8·7 % in 2003 to 15·8 % in 2015, and 20·3 % of the population would be consuming some kind of healthful grain food by 2030. Sociodemographic factors associated with the consumption of grain foods meeting the ≤10:1 ratio changed according to study edition, but overall, older individuals (+79 %), females (+28 %), those with higher education (+138 %) and higher family income (+135 %) were more likely to consume grain foods meeting the ratio, whereas participants who self-reported black, brown or indigenous ethnicity were less likely to consume these foods (–30 %).

There was a growing trend to consume grain foods meeting the ≤10:1 ratio from 2003 to 2015, but this consumption continues to be far from recommended levels. Intersectoral changes are urgently needed in order to increase the intake of healthful grain foods.