Evaluate the 5-year changes in the consumers’ food environment in the area of a health promotion service in Brazilian primary health care. Our hypothesis is that the consumers’ food environment in the areas with primary healthcare services has changes that may favour healthy eating habits over time.

Longitudinal study.

The territory around the primary healthcare services in Belo Horizonte, Minas Gerais, Brazil.

All food stores and open-air food markets that sell fruits and vegetables around the primary healthcare services in 2013 (n 272) and in 2018 (n 265).

Fruit diversity increased by 13·4 % (P < 0·001) and vegetables variety and quality by 16·1 % (P = 0·003) and 12·5 % (P < 0·001), respectively. Corn snacks showed an increase in availability (13·5 %; P = 0·002). The increase in advertising was observed for fruits and vegetables (34·6 %; P < 0·001) and ultra-processed foods (47·6 %; P < 0·001). Supermarkets showed an increase in the Healthy Food Store Index (three points; P < 0·001), while fruits and vegetables stores showed a decrease of one point in the index (P < 0·001).

The unequal changes in the consumers’ food environment according to the food stores types demonstrate the importance of food supply policies that promote a healthy environment and favour the maintenance of traditional healthy food retailers.

The aim of this study was to investigate the social and environmental factors involved in the food decision-making processes of families living on lower incomes on the Island of Ireland.

A qualitative design was employed for this study, using photovoice and creative mapping methods. Parents were requested to take photos and draw maps of their food environments. Interviews were then conducted with parents, using the materials produced by parents as a cue to discuss their food environments, influences and decision-making processes around food choices.

The participants were interviewed online via Microsoft Teams.

The participants were parents or guardians of children between the ages of 2 and 18 who self-defined as ‘living on a tight budget’.

Twenty-eight participants were recruited and interviewed for this study, including twelve parents in Northern Ireland and sixteen in the Republic of Ireland. The findings were mapped on to Bronfenbrenner’s Ecological Systems Theory and showed that multiple, overlapping and intersecting factors at the individual, micro-, meso-, exo-, macro- and chrono-system were implicated in family food choices. Upstream factors in particular, including structural, policy and commercial determinants, appear to be significant drivers of behaviour.

While the findings suggest that a complex range of factors are involved in family food choices, it is clear that policy measures and regulations are needed to stave off the impacts of rising social inequality and food poverty. Health promoters should strive to find non-stigmatising interventions to bridge the nutritional divide experienced by lower-income families.

To understand the extent to which national salt reduction strategies in Malaysia and Mongolia were implemented and achieving their intended outcomes.

Multiple methods process evaluations conducted at the mid-point of strategy implementation, guided by theoretical frameworks.

Malaysia (2018–2019) and Mongolia (2020–2021).

Desk-based reviews of related documents, interviews with key stakeholders (n 12 Malaysia, n 10 Mongolia), focus group discussions with health professionals in Malaysia (n 43) and health provider surveys in Mongolia (n 12).

Both countries generated high-quality local evidence about salt intake and levels in foods and culturally specific education resources. In Malaysia, education and reformulation activities were delivered with moderate dose (quantity) but reach among the population was low. Within 5 years, Mongolia implemented education among schools, health professionals and food producers on salt reduction with high reach, but with moderate dose (quantity) and reach among the general population. Both countries faced challenges in implementing legislative interventions (mandatory salt labelling and salt limits in packaged foods) and both could improve the scaling up of their reformulation and education activities.

In the first half of Malaysia’s and Mongolia’s strategies, both countries generated necessary evidence and education materials, mobilised health professionals to deliver salt reduction education and achieved small-scale reformulation in foods. Both subsequently should focus on implementing regulatory policies and achieving population-wide reach and impact. Process evaluations of existing salt reduction strategies can help strengthen intervention delivery, aiding achievement of WHO’s 30 % reduction in salt intake by 2025 target.

This study investigated the trend of effect estimates of the key risk factors of childhood stunting and anaemia between 2003 and 2017.

A secondary analysis of the Demographic Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) data for the Ghanaian population between 2003 and 2017. Associations of selected socio-demographic (child age and gender; maternal age and education), economic (household wealth), environmental, dietary (minimum dietary diversity and iodine use) and health system (place of delivery and vaccination) factors were explored using the Poisson regression model. Trend analysis was explored using a fitted linear regression line on a time series plot.

Ghana

Children under 5 years

The results showed a reduction in the prevalence of stunting and anaemia over the 15-year duration. These health outcomes were found to be negatively associated with a wide array of socio-demographic (child age and gender, maternal age and education, residency), economic (household wealth), dietary (iodised salt use) and health service (place of delivery and vaccination) factors; however, the most consistent statistically significant association was observed between child’s age and belonging to the poor wealth quintile.

In order to prevent these indicators of child malnutrition, key consideration must be given to the early developmental stages of life. Child health policies must focus on addressing the key contextual factors of child malnutrition.

To investigate the influence of parental physical activity on offspring’s nutritional status in the 1993 Pelotas (Brazil) birth cohort.

Birth cohort study.

The main outcomes were overweight and obesity status of children. The main exposure was parental physical activity over time, measured during the 11, 15 and 18 years of age follow-ups. The exposure was operationalised as cumulative, and the most recent measure before the birth of child. We adjusted Poisson regression models with robust variance to evaluate crude and adjusted associations between parental physical activity and offspring’s nutritional status. All analyses were stratified according to the sex of the parent.

A total of 874 members from the 1993 Pelotas (Brazil) birth cohort followed-up at 22 years of age with their first-born child were analysed.

Children were, on average, 3·1 years old. Crude analyses showed that the mother’s cumulative physical activity measure had an indirect association with the prevalence of children’s obesity. The most recent maternal physical activity measure before the birth of the child was associated with 41 % lower prevalence of obesity in children, even after adjustment for confounders.

The most recent maternal physical activity measure was indirectly associated with the prevalence of obesity in children. No associations were found for fathers, reinforcing the hypothesis of a biological effect of maternal physical activity on offspring’s nutritional status.

The present study aimed to assess the effects of an early childhood nutrition counselling intervention on intelligence (as measured by the intelligence quotient (IQ)) at age 15–16 years.

A single-blind, cluster-randomised trial.

In 1998, in Southern Brazil, mothers of children aged 18 months or younger were enrolled in a nutrition counselling intervention (n 424). Counselling included encouragement and promotion of exclusive breast-feeding until 6 months of age and continued breast-feeding supplemented by protein-, lipid- and carbohydrate-rich foods after age 6 months up to age 2 years. The control group received routine feeding advice. In 2013, the fourth round of follow-up of these individuals, at the age of 15–16 years, was undertaken. IQ was assessed using the short form of the Wechsler Adult Intelligence Scale (WAIS-III). Mental disorders (evaluated using the Development and Well-Being Assessment (DAWBA)) and self-reported school failure, smoking and alcohol use were also investigated. Adjusted analyses were conducted using a multilevel model in accordance with the sampling process.

Adolescents, mean (sd) age of 15·4 (0·5) years (n 339).

Mean (sd) total IQ score was lower in the intervention group than the control group (93·4 (11·4) and 95·8 (11·2), respectively) but the association did not persist after adjustment. The prevalence of any mental disorders was similar between intervention and control groups (23·1 and 23·5 %, respectively). There were no differences between groups regarding school failure, smoking and alcohol use.

Nutrition counselling intervention in early childhood had no effect on intelligence measured during adolescence.

Caregivers require tangible (e.g. food and financial) and intangible resources to provide care to ensure child health, nutrition and development. Intangible resources include beliefs and knowledge, education, self-efficacy, perceived physical health, mental health, healthy stress levels, social support, empowerment, equitable gender attitudes, safety and security and time sufficiency. These intangible caregiver resources are included as intermediate outcomes in nutrition conceptual frameworks yet are rarely measured as part of maternal and child nutrition research or evaluations. To facilitate their measurement, this scoping review focused on understudied caregiver resources that have been measured during the complementary feeding period in low- and lower-middle-income countries.

We screened 9,232 abstracts, reviewed 277 full-text articles and included 163 articles that measured caregiver resources related to complementary feeding or the nutritional status of children 6 months to 2 years of age.

We identified measures of each caregiver resource, though the number of measures and quality of descriptions varied widely. Most articles (77 %) measured only one caregiver resource, mental health (n 83) and social support (n 54) most frequently. Psychometric properties were often reported for mental health measures, but less commonly for other constructs. Few studies reported adapting measures for specific contexts. Existing measures for mental health, equitable gender attitudes, safety and security and time sufficiency were commonly used; other constructs lacked standardised measures.

Measurement of caregiver resources during the complementary feeding period is limited. Measuring caregiver resources is essential for prioritising caregivers and understanding how resources influence child care, feeding and nutrition.

Commercially available business (CAB) datasets for food environments have been investigated for error in large urban contexts and some rural areas, but there is a relative dearth of literature that reports error across regions of variable rurality. The objective of the current study was to assess the validity of a CAB dataset using a government dataset at the provincial scale.

A ground-truthed dataset provided by the government of Newfoundland and Labrador (NL) was used to assess a popular commercial dataset. Concordance, sensitivity, positive-predictive value (PPV) and geocoding errors were calculated. Measures were stratified by store types and rurality to investigate any association between these variables and database accuracy.

NL, Canada.

The current analysis used store-level (ecological) data.

Of 1125 stores, there were 380 stores that existed in both datasets and were considered true-positive stores. The mean positional error between a ground-truthed and test point was 17·72 km. When compared with the provincial dataset of businesses, grocery stores had the greatest agreement, sensitivity = 0·64, PPV = 0·60 and concordance = 0·45. Gas stations had the least agreement, sensitivity = 0·26, PPV = 0·32 and concordance = 0·17. Only 4 % of commercial data points in rural areas matched every criterion examined.

The commercial dataset exhibits a low level of agreement with the ground-truthed provincial data. Particularly retailers in rural areas or belonging to the gas station category suffered from misclassification and/or geocoding errors. Taken together, the commercial dataset is differentially representative of the ground-truthed reality based on store-type and rurality/urbanity.