Obesity in the sub-Saharan Africa region has been portrayed as a problem of affluence, partly because obesity has been found to be more common in urban areas and among the rich. Recent findings, however, reveal rising prevalence among the poor particularly the urban poor. A growing body of literature mostly in Western countries shows that obesity among the poor is partly the result of an obesogenic-built environment. Such studies are lacking in the African context. This study examines the characteristics of the local food environment in an urban poor setting in Accra, Ghana and further investigates the associated risk of obesity for residents. Data on the local food environment was collected using geographic positioning system (GPS) technology. The body mass indices (BMI) of females (15-49 years) and males (15-59 years) were calculated from measured weight and height. Data on the socio-demographic characteristics and lifestyle behaviors of respondents was also collected through a household survey. Spatial analysis tools were used to examine the characteristics of the local food environment while the influence of the food environment on BMI was examined using a twolevel multilevel model. The measures of the food environment constituted the level 2 factors while individual socio-demographic characteristics and lifestyle behaviors constituted the level 1 factors. The local food environment in the study communities is suggestive of an obesogenic food environment characterized by an abundance of out-of-home cooked foods, convenience stores, and limited fruits and vegetables options. The results of the multilevel analysis reveal a 0.2 kg/m 2 increase in BMI for every additional convenience store and a 0.1 kg/m 2 reduction in BMI for every out-of-home cooked food place available in the study area after controlling for individual socio-demographic characteristics, lifestyle behaviors, and community characteristics. The findings of this study indicate that the local food environment in urban poor Accra is associated with increased risk of obesity through providing access to convenience stores. In order to reduce the risk of obesity in these urban poor communities, there is the need to regulate the availability of and access to convenience stores while also encouraging healthier offerings in convenience stores.

Objective: To examine the sociodemographic correlates of obesity among Ghanaian women. Design: The 2003 and 2008 Ghana Demographic and Health Survey data sets were used to examine the sociodemographic characteristics and the BMI of women aged 15-49 years using descriptive statistics, bivariate and multivariate analyses. Setting: Ghana is a West African country which is divided into ten administrative regions. The country is further divided into the northern and southern sectors. The northern sector includes the three northern regions (Northern, Upper East and Upper Westen regions) and the seven remaining regions form the southern sector. Subjects: Women aged 15-49 years whose BMI values were available. Results: The overall prevalence of obesity and overweight increased from 25?5 % in 2003 to 30?5 % in 2008. Obesity varied directly with age from 20 to 44 years. Women with higher education had the highest rate of obesity. Obesity was more common among women from wealthy households compared to women from poor households. Conclusions: Obesity and overweight were found to be more common among older women, urban women, married women, women with higher education and women from rich households. Adoption of healthy lifestyles and the implementation of policies that promote healthy living can help reduce the prevalence of overweight and obesity.

BackgroundMany countries have adopted health policies that are targeted at reducing the risk factors for chronic non-communicable diseases. These policies promote a healthy population by encouraging people to adopt healthy lifestyle behaviours. This paper examines healthy lifestyle behaviour among Ghanaian adults by comparing behaviours before and after the introduction of a national health policy. The paper also explores the socio-economic and demographic factors associated with healthy lifestyle behaviour.MethodDescriptive, bivariate and multivariate regression techniques were employed on two nationally representative surveys (2003 World Health Survey (Ghana) and 2008 Ghana Demographic and Health Survey) to arrive at the results.ResultsWhile the prevalence of some negative lifestyle behaviours like smoking has reduced others like alcohol consumption has increased. Relatively fewer people adhered to consuming the recommended amount of fruit and vegetable servings per day in 2008 compared to 2003. While more females (7.0%) exhibited healthier lifestyles, more males (9.0%) exhibited risky lifestyle behaviours after the introduction of the policy.ConclusionThe improvement in healthy lifestyle behaviours among female adult Ghanaians will help promote healthy living and potentially lead to a reduction in the prevalence of obesity among Ghanaian women. The increase in risky lifestyle behaviour among adult male Ghanaians even after the introduction of the health policy could lead to an increase in the risk of non-communicable diseases among men and the resultant burden of disease on them and their families will push more people into poverty.

BackgroundFollowing years of out-of-pocket payment for healthcare, some countries in Africa including Ghana, Kenya and Rwanda have instituted social health protection programs through health insurance to provide access to quality and affordable healthcare especially for the poor. This paper examines equity in coverage under Ghana’s National Health Insurance Scheme (NHIS).MethodsSecondary data from the 2008 Ghana Demographic and Health Survey based on an analytical sample of 4821 females (15–49 years) and 4568 males (15–59 years) were analysed using descriptive, bivariate and multivariate methods. Concentration curves and indices were used to examine equity in coverage on the NHIS.ResultsAs at 2008, more than 60% of Ghanaians aged 15–59 years were not covered under the NHIS with slightly more females (38.9%) than males (29.7%) covered. Coverage was highest among the highly educated, professionals, those from households in the richest wealth quintile and urban residents. Lack of coverage was most concentrated among the poor.ConclusionsUniversal coverage under the NHIS is far from being achieved with marked exclusion of the poor. There is the need for deliberate action to enrol the poor under the NHIS.

Objective: Undernutrition and anaemia (the commonest micronutrient deficiency), continue to remain prevalent and persistent in sub-Saharan Africa (SSA) alongside a rising prevalence of overweight and obesity. However, there has been little research on the co-existence of all three conditions in the same household in recent years. The current study examines the co-existence and correlates of the different conditions of household burden of malnutrition in the same household across SSA. Setting: The study involved twenty-three countries across SSA who conducted Demographic and Health Surveys between 2008 and 2017. Participants: The analytical sample includes 145 020 households with valid data on the nutritional status of women and children pairs (i.e. women of reproductive age; 15–49 years and children under 5 years). Design: Logistic regression analyses were used to determine household correlates of household burden of malnutrition. Results: Anaemia was the most common form of household burden of malnutrition, affecting about seven out of ten households. Double and triple burden of malnutrition, though less common, was also found to be present in 8 and 5 % of the households, respectively. The age of the household head, location of the household, access to improved toilet facilities and household wealth status were found to be associated with various conditions of household burden of malnutrition. Conclusions: The findings of the current study reveal that both double and triple burden of malnutrition is of public health concern in SSA, thus nutrition and health interventions in SSA must not be skewed towards addressing undernutrition only but also address overweight/obesity and anaemia.