South African Adults at Risk of Overweight and Obesity: an Assessment of the Association of Food Choices and Body Mass Index in Khayelitsha and Mitchells Plain

South Africa is experiencing a rapid increase in its urban townships population as well as increase in overweight and obesity, especially amongst adult women. This study investigates on the association of Body Mass Index and food choices in two urban townships – Khayelitsha and Mitchells Plain in Cape Town. About 48 individuals from 5 households were interviewed and anthropometric data drawn from the population. Principal component analysis was conducted on food choices using a 4-hour recall. Average Dietary Diversity Score (DDS) was .88 which was less than the South African average. Seven food patterns were identied and contribute 8% of the variations. The results show that about % of adults’ sampled were overweight and obese at BMI> 5kg/m . DDS was signicantly low for most individuals (p=.) despite % of food prepared at home. The study concludes that inconsistent and distorted dietary patterns and socioeconomic status aected access to food choices that is evidence of balanced diet, and thereby creating an avenue for the risk of overweight and obesity. Consumer awareness programmes that focus on reducing the risk of obesity needs to be put in place in poor communities to address the problem and risk of poor food choice and obesity.Keywords: South Africa, Food, Obesity, Overweight and Povert

The incorporation of competition policy in the New Economic Partnership Agreement and its impact on regional integration in the Central African sub-region (CEMAC)

Magister Legum - LLMSouth Afric

In the Best Interest of the Child: Food Choices and Body Mass Index of Adult and Children Living in Urban Peripheral Townships in Cape Town

Philosophiae Doctor - PhDThe increase in overweight and obesity worldwide is described as a global health epidemic. A great proportion of this epidemic is now found in low- and middle-income countries with higher levels of prevalence, particularly in emerging economies. In sub-Saharan Africa, South Africa ranks high in the prevalence of obesity at all levels. Since the inception of democracy in 1994, the government is yet to overcome the burden of poverty and inequality routed in its apartheid past. Apartheid systematically and unjustly disintegrated and segregated black Africans and people of Colour, denying them access to economic opportunity, thus leaving them on a dependency status. Khayelitsha and Mitchells Plain are the relics of apartheid policies. Obesity and associated diseases are highly correlated with gender dynamics, economic conditions, nutritional status, poverty, and urbanisation. It is increasingly evident that poor urban dwellers, especially women and children are at risk of obesity-related factors such as diabetes, hypertension, and heart diseases. The increasing incidence of obesity especially amongst children is concerning. The prevalence of child poverty is in South Africa is a cause for concern. Over 18.5million children are in South Africa, 64% of which are dependent on CSG. With poverty and inequality affecting millions of households, access to food and quality food has reached crises level. Yet, it is a basic human right that has received little empirical response amongst policymaker in South Africa. The South African food system is complex, poverty is endemic and poor households are most vulnerable to unhealthy eating habits. This research critically analysis the link between food choices, overweight and obesity in adults and children living in urban peripheral communities in Cape Town. The study was designed to interrogate the kinds of food eaten by urban peripheral dwellers, their socioeconomic status and how the policy of the BIC addresses the problem of child obesity in South Africa. This research aimed to empirically explore the relationship between BMI and food choices of adults and children living in urban peripheries in Cape Town. The study also aimed at evaluating the BIC in urban townships in Cape Town in the context of child obesity, to understand the views of the children and to understand how poor households are ensuring the BIC in relation food access, food availability and child protection from obesity. The study further aimed at comparing the and contrasting the socioeconomic dynamics of the two population to understand the progress and gaps in their economic and health status. Empirical data were collected from households in Khayelitsha and Mitchells Plain using a two-stage sampling technic to identify clusters and households. A sample of about 4300 individuals in 1052 households was sampled. A 24H dietary recall was used to capture food types of the population. The World Health Organisation guidelines for BMI adults and children were applied through the study. A BIC Index was developed to assess the right to food from the views of the child. First, the study found significant differences in the socioeconomic and demographic profiles of the population. Poverty and the risk of falling into poverty were higher in Khayelitsha than in Mitchells Plain. Two-third of the population (65%) of adults we found to be overweight and obese. Overweight and obesity amongst children was 29% and 68% of children reported that they buy food at school or on their way to school. Over 83% children stated that their parents give them money to take to school. There was a significant association between children buying food and parents giving money at X2 91.4643, P<= 0.000. Carbohydrate represents 40% and sugar 35% of food types children eat away from home. In terms of the BIC, 43% of the childre

Automatic Generation of Building Models with Levels of Detail 1-3

We present a workflow for the automatic generation of building models with levels of detail (LOD) 1 to 3 according to the CityGML standard (Gröger et al., 2012). We start with orienting unsorted image sets employing (Mayer et al., 2012), we compute depth maps using semi-global matching (SGM) (Hirschmüller, 2008), and fuse these depth maps to reconstruct dense 3D point clouds (Kuhn et al., 2014). Based on planes segmented from these point clouds, we have developed a stochastic method for roof model selection (Nguatem et al., 2013) and window model selection (Nguatem et al., 2014). We demonstrate our workflow up to the export into CityGML

FINDING CUBOID-BASED BUILDING MODELS IN POINT CLOUDS

In this paper, we present an automatic approach for the derivation of 3D building models of level-of-detail 1 (LOD 1) from point clouds obtained from (dense) image matching or, for comparison only, from LIDAR. Our approach makes use of the predominance of vertical structures and orthogonal intersections in architectural scenes. After robustly determining the scene's vertical direction based on the 3D points we use it as constraint for a RANSAC-based search for vertical planes in the point cloud. The planes are further analyzed to segment reliable outlines for rectangular surface within these planes, which are connected to construct cuboid-based building models. We demonstrate that our approach is robust and effective over a range of real-world input data sets with varying point density, amount of noise, and outliers

Roof Reconstruction from Point Clouds using Importance Sampling

We propose a novel fully automatic technique for roof fitting in 3D point clouds based on sequential importance sampling (SIS). Our approach makes no assumption of the nature (sparse, dense) or origin (LIDAR, image matching) of the point clouds and further distinguishes, automatically, between different basic roof types based on model selection. The algorithm comprises an inherent data parallelism, the lack of which has been a major drawback of most Monte Carlo schemes. A further speedup is achieved by applying a coarse to fine search within all probable roof configurations in the sample space of roofs. The robustness and effectiveness of our roof reconstruction algorithm is illustrated for point clouds of varying nature

Localization of Windows and Doors in 3d Point Clouds of Facades

In this paper, we present a fully automatic approach to localize the outlines of facade objects (windows and doors) in 3D point clouds of facades. We introduce an approach to search for the main facade wall and locate the facade objects within a probabilistic framework. Our search routine is based on Monte Carlo Simulation (MC-Simulation). Templates containing control points of curves are used to approximate the possible shapes of windows and doors. These are interpolated using parametric B-spline curves. These templates are scored in a sliding window style over the entire facade using a likelihood function in a probabilistic matching procedure. This produces many competing results for which a two layered model selection based on Bayes factor is applied. A major thrust in our work is the introduction of a 2D shape-space of similar shapes under affine transform in this architectural scene. This transforms the initial parametric B-splines curves representing the outlines of objects to curves of affine similarity in a strongly reduced dimensionality thus facilitating the generation of competing hypotheses within the search space. A further computational speedup is achieved through the clustering of the search space to disjoint regions, thus enabling a parallel implementation. We obtain state-of-the results on self-acquired data sets. The robustness of our algorithm is evaluated on 3D point clouds from image matching and LiDAR data of diverse quality

AUTOMATIC GENERATION OF BUILDING MODELS WITH LEVELS OF DETAIL 1-3

We present a workflow for the automatic generation of building models with levels of detail (LOD) 1 to 3 according to the CityGML standard (Gröger et al., 2012). We start with orienting unsorted image sets employing (Mayer et al., 2012), we compute depth maps using semi-global matching (SGM) (Hirschmüller, 2008), and fuse these depth maps to reconstruct dense 3D point clouds (Kuhn et al., 2014). Based on planes segmented from these point clouds, we have developed a stochastic method for roof model selection (Nguatem et al., 2013) and window model selection (Nguatem et al., 2014). We demonstrate our workflow up to the export into CityGML

Challenges of Power Dominance in the Garment Manufacturer and Retailer Relationship: The Perspective of Pakistan’s Small Garment Manufacturers

Purpose: The purpose of the study is to identify the challenges that small garments manufacturers in Pakistan face in an IOR with large retailers regarding power dominance. The paper also seeks to examine how those garment manufacturers can use the Boundary Control Systems as a strategic response to power dominance. Methodology: The study is Qualitative, Exploratory in nature. It adapts critical realism as its research philosophy while developing the study with an Abductive Approach. The data for this paper was collected through related literature, articles, and a series of semi-structured interviews. The collected Empirical Data was analyzed using Creswell's Six Steps method. Findings: The paper explores the challenges faced by the small garments manufacturers in an IOR with large retailers in the Garments Industry of Pakistan, which include the struggle to have fair pricing, dominant behavior of the retailer, over-controlling inspections of the production, unavailability of resources to manage the production scale, overly strict sanctions or price cut by the retailers, and misunderstandings created by cultural and lingual diversity. These challenges almost always start from the Negotiation stage of the collaboration leaving the small garments manufacturer little to no room for mitigating them. The most effective strategy that the small garments manufacturers can adopt while dealing with power dominance. It is to apply Boundary Systems as early as the Negotiation Stage to prevent the retailer from imposing opportunistic behavior. Involving Boundary Spanners can be useful to have better control over the challenges. Originality and Contribution: The paper attempts to explore the fairly under-studied area of power dominance between small garments manufacturers and large retailers working in the developing garments manufacturing-supplying industry in Pakistan and how Boundary Systems can be used in this dynamic. A significant lack of awareness and studies were identified while researching for this study. Hence this paper can be considered a new and fresh way to look at the issue that has been previously undermined. And a contribution to the literature and future researchers to further the studies in this area