The association between an energy-adjusted dietary inflammatory index and inflammation in rural and urban Black South Africans

Objective: To quantify the inflammatory potential of the diet of rural and urban Black South Africans using an adapted energy-adjusted dietary inflammatory index (AE-DII) and to investigate its relationship with inflammatory and cardio-metabolic disease risk markers. Dietary inflammatory potential has not been investigated in African populations. Design: Cross-sectional investigation. Setting: Rural and urban sites in the North West province of South Africa. Participants: 1,885 randomly selected, apparently healthy Black South Africans older than 30 years. Results: AE-DII scores ranged from -3.71 to +5.08 with a mean of +0.37. AE-DII scores were significantly higher in men (0.47±1.19) than in women (0.32±1.29), and in rural (0.55±1.29) than urban participants (0.21±1.19). Apart from its dietary constituents, AE-DII scores primarily associated with age, rural-urban status and education. Contrary to the literature, alcohol consumption was positively associated with AE-DII scores. Of the four tested inflammatory and 13 cardio-metabolic biomarkers, the AE-DII was only significantly negatively associated with albumin and high-density lipoprotein cholesterol, and positively with waist circumference and fasting glucose, upon full adjustment. Conclusion: Rural men consumed the most pro-inflammatory diet, and urban women the least pro-inflammatory diet. The diet of the participants was not overtly pro- or anti-inflammatory and was not associated with measured inflammatory markers. The inflammatory potential of alcohol at different levels of intake requires further research. Understanding dietary inflammatory potential in the context of food insecurity, unhealthy lifestyle practices and lack of dietary variety remains limited

The impact of training on productivity in mass food production

Thesis (M.Sc. (Dietetics))--North-West University, Potchefstroom Campus, 2005.The motivation for this study was to increase the knowledge of foodservice personnel in mass food production in the foodservice area in which they work and by doing so, increasing their productivity. Training is often used to improve productivity and is seen as the answer to many productivity problems. Training and productivity improvement go hand in hand. Little research has been done on training and productivity in mass food production. The main objective of this study was to investigate the impact of training on the productivity of workers in mass food production by means of questionnaires. Firstly, the training needs of the workers were investigated. Secondly, training was given as needed and thirdly, follow-up questionnaires were completed to determine the impact of training. The training needs of the target group were firstly determined by means of questionnaires. The training material was then compiled from information obtained in the questionnaires. Training was given in the form of a lecture. Follow-up questionnaires were completed two and four months after training. The practical significance of the training was determined by comparing the answers of the sets of questionnaires with each other. Results: The workers' knowledge increased by 55% (supervisors), 33% (cleaners), 20% (foodservice aids) and 6.25% (cooks) after having received training. These results show that training will only be of practical significance to the supervisors when it is presented in the same circumstances as in the study. Conclusions: Training, with productivity improvement in mind, must be presented in an effective and meaningful manner to have a significant impact on the knowledge of foodservice workers. The environment, type of worker, management's involvement as well as the type of training, motivation of the worker, correct training material and whether the training will make a difference, must be taken into consideration when planning training for foodservice workers.Master

Predictive utility of a genetic risk score of common variants associated with type 2 diabetes in a black South African population

Aims To determine the predictive utility of polygenic risk scores of common variants associated with type 2 diabetes derived from the European and Asian ethnicities among a black South African population. Method Our study was a case-control study nested within the Prospective Urban and Rural Epidemiological (PURE) study of 178 male and female cases, matched for age and gender with 178 controls. Four types of genetic risk scores (GRS) were developed from 66 selected SNPs. These comprised of beta cell related variants (GRSb), variants which had significant associations with T2D in our study (GRSn), variants from the trans-ethnic meta-analysis (GRStrans) and all the 66 selected SNPs (GRSt). Results Of the GRS’s, only GRSn was associated with increased risk of T2D as indicated by an OR (95CI) of 1.21 (1.02–1.43) p-value = 0.015. Stratified analysis of age and BMI, indicated the GRSn to be significantly associated with T2D among the non-obese and participants less than 50 years. The area under the ROC of the T2D risk factors only was 0.652 (p value < 0.001) and with the addition of GRSn it was 0.665 (p value < 0.001). Conclusions The GRS of European and Asian derived variants have limited clinical utility in the black South African population. The inclusion of population specific variants in the GRS is pivotal

Nutrient Patterns Associated with Fasting Glucose and Glycated Haemoglobin Levels in a Black South African Population

Type 2 diabetes (T2D) burden is increasing globally. However, evidence regarding nutrient patterns associated with the biomarkers of T2D is limited. This study set out to determine the nutrient patterns associated with fasting glucose and glycated haemoglobin the biomarkers of T2D. Factor analysis was used to derive nutrient patterns of 2010 participants stratified by urban/rural status and gender. Principal Component Analysis (PCA) was applied to 25 nutrients, computed from the quantified food frequency questionnaires (QFFQ). Three nutrient patterns per stratum, which accounted for 73% of the variation of the selected nutrients, were identified. Multivariate linear regression models adjusted for age, BMI, smoking, physical activity, education attained, alcohol intake, seasonality and total energy intake were computed. Starch, dietary fibre and B vitamins driven nutrient pattern was significantly associated with fasting glucose (β = −0.236 (−0.458; −0.014); p = 0.037) and glycated haemoglobin levels (β = −0.175 (−0.303; −0.047); p = 0.007) in rural women. Thiamine, zinc and plant protein driven nutrient pattern was associated with significant reductions in glycated haemoglobin and fasting glucose ((β = −0.288 (−0.543; −0.033); p = 0.027) and (β = −0.382 (−0.752; −0.012); p = 0.043), respectively) in rural men. Our results indicate that plant driven nutrient patterns are associated with low fasting glucose and glycated haemoglobin levels

Nutrient Patterns Associated with Fasting Glucose and Glycated Haemoglobin Levels in a Black South African Population

Type 2 diabetes (T2D) burden is increasing globally. However, evidence regarding nutrient patterns associated with the biomarkers of T2D is limited. This study set out to determine the nutrient patterns associated with fasting glucose and glycated haemoglobin the biomarkers of T2D. Factor analysis was used to derive nutrient patterns of 2010 participants stratified by urban/rural status and gender. Principal Component Analysis (PCA) was applied to 25 nutrients, computed from the quantified food frequency questionnaires (QFFQ). Three nutrient patterns per stratum, which accounted for 73% of the variation of the selected nutrients, were identified. Multivariate linear regression models adjusted for age, BMI, smoking, physical activity, education attained, alcohol intake, seasonality and total energy intake were computed. Starch, dietary fibre and B vitamins driven nutrient pattern was significantly associated with fasting glucose (β = −0.236 (−0.458; −0.014); p = 0.037) and glycated haemoglobin levels (β = −0.175 (−0.303; −0.047); p = 0.007) in rural women. Thiamine, zinc and plant protein driven nutrient pattern was associated with significant reductions in glycated haemoglobin and fasting glucose ((β = −0.288 (−0.543; −0.033); p = 0.027) and (β = −0.382 (−0.752; −0.012); p = 0.043), respectively) in rural men. Our results indicate that plant driven nutrient patterns are associated with low fasting glucose and glycated haemoglobin levels

Nutrient patterns and their relation to anemia and iron status in 5- to 12-y-old children in South Africa

Objective The aim of this study was to assess nutrient patterns and their relation to anemia and iron status of school children using pooled data from three study populations in South Africa. Methods Data from 5- to 12-y-old children (N = 578) from three independent studies conducted in two provinces in South Africa were pooled. Data used in the analysis were dietary intake, hemoglobin, and plasma ferritin concentrations. Nutrient patterns were determined using factor analysis. Logistic regression analysis was performed to determine relationships of nutrient patterns with anemia and iron deficiency. Results In the pooled group, 13.8% of the children were anemic and 27.7% were iron deficient (ID). More than half of children did not meet the Estimated Average Requirement for various nutrients, including vitamins A, C, B12, folate, and zinc, although only 17.7% of children had an iron intake below the requirements. Median intakes for vitamins A and C were lower for anemic than non-anemic children (P = 0.03 and 0.02, respectively) and for ID versus non-ID children (P = 0.03 and 0.046, respectively). Four nutrient patterns were identified: plant protein, carbohydrate, iron, and B vitamins; animal protein and saturated fat; vitamins A and B12; and calcium and fiber. The vitamin A and B12 nutrient pattern was associated with lower odds of being anemic (odds ratio, 0.63; 95% confidence interval, 0.49–0.91; P = 0.035). Conclusion The present results highlighted the potential role of the combination of dietary vitamin A and B12 in the etiology of nutritional anemia in school-age children in South Africa. Nutrient pattern analysis may improve the understanding of the synergistic role of nutrients related to anemia and may assist in planning intervention strategies