To establish the prevalence of double burden of malnutrition (DBM) and triple burden of malnutrition (TBM) among mother–child pairs in Malawi and explore their geographical distribution and associated multilevel factors.

Cross-sectional study using secondary data from the 2015–2016 Malawi Demographic and Health Survey using a mixed effects binomial model to identify multilevel factors associated with DBM and TBM. Georeferenced covariates were used to map the predicted prevalence of DBM and TBM.

All twenty-eight districts in Malawi.

Mother–child pairs with mothers aged 15–49 years and children aged below 60 months (n 4618 pairs) for DBM and between 6 and 59 months (n 4209 pairs) for TBM.

Approximately 5·5 % (95% confidence interval (CI): 4·7 %, 6·4 %) of mother–child pairs had DBM, and 3·1 % (95 % CI: 2·5 %, 4·0 %) had TBM. The subnational-level prevalence of DBM and TBM was highest in cities. The adjusted odds of DBM were threefold higher (adjusted Odds Ratio, AOR: 2·8, 95 % CI: 1·1, 7·3) with a higher proportion of wealthy households in a community. The adjusted odds of TBM were 60 % lower (AOR: 0·4; 95 % CI: 0·2, 0·8) among pairs where the women had some education compared with women with no education.

Although the prevalence of DBM and TBM is currently low in Malawi, it is more prevalent in pairs with women with no education and in relatively wealthier communities. Targeted interventions should address both maternal overnutrition and child undernutrition in cities and these demographics.

The high availability of energy-dense nutrient-poor discretionary foods in large serving and package sizes may have shifted portion size norms (described as a typical perception of how much people choose to eat from a given food at a single eating occasion) towards larger sizes. Few public health recommendations exist around appropriate discretionary food portion sizes. This qualitative study aimed to explore the underlying rationale of portion size norms of discretionary foods among Australian adults 18–65 years.

Four focus group sessions were conducted. Collected data were analysed using inductive thematic analysis.

Focus groups were held online via Zoom between September and October 2023.

Thirty-four participants were recruited in the study (mean age 38 years, 19 females).

The key themes raised from inductive analysis were personal factors, eating context factors and food environment factors relevant to the portion size norms. A framework was established to illustrate the interaction across these themes during the conceptualisation of the norms. For serving size availability, consumers found that there were limited serving size choices when making portion size selections and lacked the knowledge and skills in portion control.

These findings highlight the need to make positive changes to the current food environment and develop relevant public health guidelines around appropriate portion sizes to promote healthier portion size norms and enable better portion control.

To examine underlying political economy factors that enable or impede the integration of nutrition considerations into food system governance.

Comparative political economy analysis of data collected through (1) value chain analyses of selected healthy and unhealthy commodities and (2) food system policy analyses, using a theoretical framework focused on power, politics, interests and ideas.

Ghana and South Africa.

Value chain actors relevant to healthy and unhealthy foods (Ghana n 121; South Africa n 72) and policy stakeholders from government (Health, Agriculture, Trade and Industry, Finance), academia, civil society, development partners, Civil Society Organization (CSO) and private sector (Ghana n 28; South Africa n 48).

Nutrition was a stated policy priority in both countries; however, policy responsibility was located within the health sector, with limited integration of nutrition into food system sectors (including Agriculture, Trade and Industry). Contributing factors included a conceptions of policy responsibilities for nutrition and food systems, dominant ideas and narratives regarding the economic role of the food industry and the purpose of food system policy, the influence of large food industry actors, and limited institutional structures for cross-sectoral engagement and coordination.

Integrating nutrition into multi-sectoral food policy to achieve multiple food system policy goals will require strategic action across jurisdictions and regional levels. Opportunities included increasing investment in healthy traditional foods, strengthening urban/rural linkages and informal food systems, and strengthening institutional structures for policy coherence and coordination related to nutrition.

This study develops successful ageing profiles across six low- and middle-income countries (LMIC) and examines associations with fruit and vegetable (F&V) intake.

A cross-sectional analysis was conducted in mid-aged and older adults from the WHO Study of Global Ageing. Participants without chronic disease, cognitive impairment, depression or disability and with good physical, cardiovascular and respiratory function were considered to have successfully aged. Associations between F&V intake (serves/d) and successful ageing were examined using log-binomial regression adjusting for key confounders.

China, Ghana, India, Mexico, Russia and South Africa.

A total of 28 785 men and women aged 50 years and over.

Successful ageing ranged from 4 % in Mexico to 15 % in China. After adjustment, only Ghana showed an association between fruit intake and successful ageing, with an inverse association identified (prevalence ratio (PR) = 0·87, 95 % CI 0·78, 0·98). An inverse association between vegetable intake and successful ageing was found in China (0·97, 0·95, 0·98) but no other country. An inverse association was shown for both China (0·98, 0·96, 0·99) and Ghana (0·92, 0·84, 1·00) when considering fruit and vegetables combined.

Associations between F&V intake and successful ageing are inconsistent. Further studies on LMIC countries are needed to meet the challenges of the ageing population.