In sub-Saharan Africa, urbanisation and food systems change contribute to rapid dietary transitions promoting obesity. It is unclear to what extent these changes are mediated by neighbourhood food environments or other factors. This paper correlates neighbourhood food provision with household consumption and poverty in Khayelitsha, South Africa and Ahodwo, Ghana. Georeferenced survey data of food consumption and provision were classified by obesity risk and protection. Outlets were mapped, and density and distribution correlated with risk classes. In Khayelitsha, 71% of households exceeded dietary obesity risk thresholds while 16% consumed protective diets. Obesogenic profiles were less (26%) and protective more prevalent (23%) in Ahodwo despite greater income poverty in Khayelitsha. Here, income-deprived households consumed significantly (p < 0.005) less obesogenic and protective diets. Small informal food outlets dominated numerically but supermarkets were key household food sources in Khayelitsha. Although density of food provision in Ahodwo was higher (76/km2), Khayelitsha outlets (61/km2) provided greater access to obesogenic (57% Khayelitsha; 39% Ahodwo) and protective (43% Khayelitsha; 16% Ahodwo) foods. Consumption and provision profiles correlate more strongly in Ahodwo than Khayelitsha (rKhayelitsha = 0.624; rAhodwo = 0.862). Higher obesogenic food consumption in Khayelitsha suggests that risky food environments and poverty together promote obesogenic diets.

Background Dietary diversity, a qualitative measure of dietary intake, which reflects the variety of foods consumed has been recommended to assuage nutritional problems related to insufficient micronutrients, and food insecurity. To better understand the underlying factors for poor birth outcomes in Ghana, we assessed factors associated with dietary diversity among rural and urban pregnant adolescents in the Ashanti Region of Ghana. Methods As part of a larger longitudinal cohort of 416 pregnant adolescents, the FAO minimum dietary diversity for women index was used to determine the dietary diversity score (DDS) of the participants from a previous days’ 24-hour dietary recall data. The household hunger scale (HHS) and lived poverty index (LPI) were used to determine hunger and socioeconomic status. Eating behavior and socio-demographic data were gathered using interviewer-administered questionnaires. Results The mean age of the participants was 17.5 (±1.4) years with an MDD-W of 4.4 and 56% recording inadequate MDD score. More rural (63.6%) than urban dwellers (50.6%) had inadequate DDS (p = 0.008). Among all the multiple variables tests of associations on dietary diversity, only hunger status (p = 0.028) and both food aversion and poverty status (p = 0.003) had a significant effect on the adolescents’ dietary diversity. Rural dwelling adolescents (AOR = 1.7, p = 0.035, 95% CI = 1.0–2.6) recorded higher odds for inadequate DD compared with the urban respondents. Pregnant adolescents with severe hunger had higher odds (Unadjusted OR = 1.9, p = 0.053, 95% CI 1.1–3.8) for inadequate dietary diversity compared with those with no hunger. Conclusions Inadequate DD is common among pregnant adolescents in this study and is associated with rural living, food insecurity, poverty, and food craving. Livelihood support for pregnant teenagers and nutrition education are recommended interventions to improve dietary quality and limit the consequences of poor dietary diversity.

Background: The global food system is not delivering affordable, healthy, diverse diets, which are needed to address malnutrition in all its forms for sustainable development. This will require policy change across the economic sectors that govern food systems, including agriculture, trade, finance, commerce and industry – a goal that has been beset by political challenges. These sectors have been strongly influenced by entrenched policy agendas and paradigms supported by influential global actors such as the World Bank and International Monetary Fund (IMF). Methods: This study draws on the concept of path dependency to examine how historical economic policy agendas and paradigms have influenced current food and nutrition policy and politics in Ghana. Qualitative data were collected through interviews with 29 relevant policy actors, and documentary data were collected from current policies, academic and grey literature, historical budget statements and World Bank Group Archives (1950-present). Results: Despite increased political priority for nutrition in Ghana, its integration into food policy remains limited. Food policy agendas are strongly focused on production, employment and economic returns, and existing market-based incentives do not support a nutrition-sensitive food supply. This policy focus appears to be rooted in a liberal economic approach to food policy arising from structural adjustment in the 1980s and trade liberalization in the 1990s, combined with historical experience of ‘failure’ of food policy intervention and an entrenched narrowly economic conception of food security. Conclusion: This study suggests that attention to policy paradigms, in addition to specific points of policy change, will be essential for improving the outcomes of food systems for nutrition. An historical perspective can provide food and health policy-makers with insights to foster the revisioning of food policy to address multiple national policy objectives, including nutrition.

Background. Accurate body weight perception is important to maintaining an ideal body weight. In Africa, a preference for a larger body size and its association with health and wellbeing has been well documented. It remains speculative if these perceptions have changed or improved and if differences exist among rural and urban dwellers. The main aim of this study was to assess the body weight and obesity perceptions among rural and urban Ghanaians. Methods. This cross-sectional study involved 565 participants. The Stunkard figure rating scale was used to assess the body weight perception of participants. Participants were to choose from the scale figures they perceived to represent their current body weight, desired body weight, ideal body weight, ideal look for a wealthy person, ideal look for a woman with children, and ideal look for a woman without children. Additionally, participants were asked to describe obesity and its threat to health in their terms. Responses of participants to the above questions are presented as frequencies. Differences between rural and urban participants as well as males and females with respect to the median figure chosen for each question were determined by Mann–Whitney U test. Results. The median age of participants was 40 (IQR 26). The prevalence of overweight and obesity observed among participants was 52.8%. The most frequently selected figure as current body image was figure 5 (23.5%). Figure 4 was most frequently chosen by both males (37.2%) and females (24.6%) as their desired body image (27.4%). Male participants (41.8%) chose figure 5 as ideal for their gender while females (27.4%) maintained figure 4 as ideal for their gender. Study participants associated overweight with wealth and childbirth, and attributed their current weights to hereditary (27%) and childbirth (27%). Most participants were not taking steps to achieve their desired body image, and only a few engaged in both dieting and exercise to lose weight. Majority of participants described obesity as the accumulation of fat (91.0%) and viewed it as a threat to health (91.0%). Differences were observed among rural and urban participants with regard to the figure chosen as ideal for a wealthy person. Conclusion. Results from this study show an improvement in obesity perception and the acknowledgment of obesity as a threat to health. There was a desire for a normal-weight figure among study participants. Attribution of current body weight to hereditary and childbirth seems to be a hindrance to the implementation of actions to achieve this normal figure weight. Public health education, screening for overweight and obesity, creation of supportive food environments, and culture-sensitive interventions are promising to curbing the obesity menace.

BackgroundScaling up improved management of severe acute malnutrition has been identified as the nutrition intervention with the largest potential to reduce child mortality, but lack of operational capacity at all levels of the health system constrains scale-up. We therefore developed an interactive malnutrition eLearning course that is accessible at scale to build capacity of the health sector workforce to manage severely malnourished children according to the guidelines of the World Health Organization.ObjectiveThe aim of this study was to test whether the malnutrition eLearning course improves knowledge and skills of in-service and preservice health professionals in managing children with severe acute malnutrition and enables them to apply the gained knowledge and skills in patient care.MethodsThis 2-year prospective, longitudinal, cross-country, interrupted time-series study took place in Ghana, Guatemala, El Salvador, and Colombia between January 2015 and February 2017. A subset of 354 in-service health personnel from 12 hospitals and 2 Ministries of Health, 703 preservice trainees from 9 academic institutions, and 204 online users participated. Knowledge gained after training and retention over time was measured through pre- and postassessments comprising questions pertaining to screening, diagnosis, pathophysiology and treatment, and prevention of malnutrition. Comprehension, application, and integration of knowledge were tested. Changes in perception, confidence, and clinical practice were assessed through questionnaires and interviews.ResultsBefore the course, awareness of the World Health Organization guidelines was 36.73% (389/1059) overall, and 26.3% (94/358) among in-service professionals. The mean score gain in knowledge after access to the course in 606 participants who had pre- and postassessment data was 11.8 (95% CI 10.8-12.9; P<.001)—a relative increase of 41.5%. The proportion of participants who achieved a score above the pass mark posttraining was 58.7% (356/606), compared with 18.2% (110/606) in pretraining. Of the in-service professionals, 85.9% (128/149) reported applying their knowledge by changing their clinical practice in screening, assessment, diagnosis, and management. This group demonstrated significantly increased retained knowledge 6 months after training (mean difference [SD] from preassessment of 12.1 [11.8]), retaining 65.8% (12.1/18.4) of gained knowledge from the training. Changes in the management of malnutrition were reported by trained participants, and institutional, operational, and policy changes were also found.ConclusionsThe malnutrition eLearning course improved knowledge, understanding, and skills of health professionals in the diagnosis and management of children with severe acute malnutrition, and changes in clinical practice and confidence were reported following the completion of the course.