Illustration of the Importance of Adjustment for within- and between-Person Variability in Dietary Intake Surveys for Assessment of Population Risk of Micronutrient Deficiency/Excess Using an Example Data Set.

Nutrition intervention decisions should be evidence based. Single 24-h recalls are often used for measuring dietary intake in large dietary studies. However, this method does not consider the day-to-day variation in populations' diets. We illustrate the importance of adjustment of single 24-h recall data to remove within-person variation using the National Cancer Institute method to calculate usual intake when estimating risk of deficiency/excess. We used an example data set comprising a single 24-h recall in a total sample of 1326 1-<10-year-old children, and two additional recalls in a sub-sample of 11%, for these purposes. Results show that risk of deficiency was materially overestimated by the single unadjusted 24-h recall for vitamins B12, A, D, C and E, while risk of excess was overestimated for vitamin A and zinc, when compared to risks derived from usual intake. Food sources rich in particular micronutrients seemed to result in overestimation of deficiency risk when intra-individual variance is not removed. Our example illustrates that the application of the NCI method in dietary surveys would contribute to the formulation of more appropriate conclusions on risk of deficiency/excess in populations to advise public health nutrition initiatives when compared to those derived from a single unadjusted 24-h recall.

Provincial Dietary Intake Study (PDIS): Micronutrient Intakes of Children in a Representative/Random Sample of 1- to <10-Year-Old Children in Two Economically Active and Urbanized Provinces in South Africa.

In 1999, the National Food Consumption Survey found serious risk of dietary deficiency for a number of micronutrients in 1- to 9-year-old children in South Africa. To address these shortfalls, fortification with vitamin A, thiamine, riboflavin, niacin, vitamin B6, folic acid, iron and zinc of maize meal and bread flour was made mandatory in 2003. The aim of this study was to examine micronutrient intakes of 1- to <10-year-old children after nearly 20 years of fortification in two of the most urbanized and economically active provinces, Gauteng (GTG) and the Western Cape (WC). A multistage stratified cluster random sampling design and methodology was used. Households were visited by fieldworkers who interviewed caregivers and obtained dietary intake data by means of a multiple-pass 24-h recall. Two additional 24-h recalls were completed among a nested sample of 146 participants to adjust the single 24-h recall data of the total sample using the National Cancer Institute Method. Results show that median intake of all the fortification nutrients were above the estimated average requirement (EAR), with the only concern being folate in the WC. Between a quarter and a third of children in the WC, where maize porridge intake was significantly lower than in GTG, had a folate intake below the EAR. Nutrients that are not included in the fortification mix that remain a serious concern are calcium and vitamin D, with intake of dairy and vitamin D sources being very limited in both provinces. The improvement in micronutrient intakes of children is encouraging, however the outstanding nutrient deficiency risks need attention.

The HealthKick Study: Modifiable Lifestyle Factors in Primary Caregivers of Primary School Learners from Two School Districts in the Western Cape Province, South Africa.

Background: The HealthKick (HK) study showed that educators (teachers) had a high prevalence of risk factors for the development of non-communicable diseases (NCDs). Little data are available on parents or other primary caregivers of learners from disadvantaged schools. Aim: The aim of our study was to determine modifiable risk factors for the development of NCDs in a sample of caregivers of schools included in the HK intervention program. Participants: Caregivers of grade 4 children from 25 schools were invited to take part in the study and 175 participated. Caregivers were Black Africans and of mixed ethnic origin. Methods: Dietary intake was measured using a validated frequency questionnaire. Physical activity was measured by completing the Global Physical Activity Questionnaire (GPAQ). Caregivers described their smoking habits and alcohol usage. Weight and height were measured for each participant and body mass index (BMI) was calculated. Results: Eighty percent women and 50% men had a BMI ≥25 (overweight or obese). The most frequently consumed categories of foods were processed foods, energy-dense foods, and high-fat foods representing unhealthy food choices. More than half of the total group (81.7%) and both males and females were meeting physical activity recommendations of 600 METs/week. Many caregivers, particularly men (53%), smoked cigarettes and reportedly consumed alcohol during the week and on weekends. Conclusion: Caregivers of children in the HK study population presented with a large number of modifiable health risk behaviors. These results highlight the importance of engaging caregivers, as part of a whole school intervention, to promote healthy eating and physical activity.

Impact of a South African School-based Intervention, HealthKick, on Fitness Correlates.

OBJECTIVES: To assess the impact of a whole-of-school health promotion program targeting healthy eating and physical activity on physical fitness levels, and physical activity-related knowledge, attitudes and behavior of primary school children. METHODS: Sixteen primary schools were randomly assigned as intervention (N = 8) and control (N = 8) schools. A selection of tests from the Eurofit testing battery was used to assess changes in fitness levels over the 3 years of the intervention. Anthropometric measurements included height and weight. A physical activity knowledge, attitude and behavior (KAB) questionnaire was administered to participants. Multi-level mixed effect linear models were used to assess differences between intervention and control schools. RESULTS: No overall improvement in physical fitness was found. The sit-ups score improved significantly in the intervention group (p < .05). No overall intervention effects were found on the determinants of physical activity behavior. Knowledge improved in both the intervention (p = .005) and control (p < .001) groups. CONCLUSION: The lack of a specific intervention effect on fitness levels and physical activity-related KAB indicates that a "low intensity" intervention is not effective in South African primary school settings.

Implementation of the HealthKick intervention in primary schools in low-income settings in the Western Cape Province, South Africa: a process evaluation.

BACKGROUND: The HealthKick intervention, introduced at eight primary schools in low-income settings in the Western Cape Province, South Africa, aimed to promote healthy lifestyles among learners, their families and school staff. Eight schools from similar settings without any active intervention served as controls. METHODS: The Action Planning Process (APP) guided school staff through a process that enabled them to assess areas for action; identify specific priorities; and set their own goals regarding nutrition and physical activity at their schools. Educators were introduced to the APP and trained to undertake this at their schools by holding workshops. Four action areas were covered, which included the school nutrition environment; physical activity and sport environment; staff health; and chronic disease and diabetes awareness. Intervention schools also received a toolkit comprising an educator's manual containing planning guides, printed resource materials and a container with physical activity equipment. To facilitate the APP, a champion was identified at each school to drive the APP and liaise with the project team. Over the three-years a record was kept of activities planned and those accomplished. At the end of the intervention, focus group discussions were held with school staff at each school to capture perceptions about the APP and intervention activities. RESULTS: Overall uptake of events offered by the research team was 65.6% in 2009, 75% in 2010 and 62.5% in 2011. Over the three-year intervention, the school food and nutrition environment action area scored the highest, with 55.5% of planned actions being undertaken. In the chronic disease and diabetes awareness area 54.2% actions were completed, while in the school physical activity and sport environment and staff health activity areas 25.9 and 20% were completed respectively. According to educators, the low level of implementation of APP activities was because of a lack of parental involvement, time and available resources, poor physical environment at schools and socio-economic considerations. CONCLUSIONS: The implementation of the HealthKick intervention was not as successful as anticipated. Actions required for future interventions include increased parental involvement, greater support from the Department of Basic Education and assurance of sufficient motivation and 'buy-in' from schools.

"HealthKick": formative assessment of the health environment in low-resource primary schools in the Western Cape Province of South Africa.

BACKGROUND: This study evaluated the primary school environment in terms of being conducive to good nutrition practices, sufficient physical activity and prevention of nicotine use, with the view of planning a school-based health intervention. METHODS: A sample of 100 urban and rural disadvantaged schools was randomly selected from two education districts of the Western Cape Education Department, South Africa. A situation analysis, which comprised an interview with the school principal and completion of an observation schedule of the school environment, was done at all schools. RESULTS: Schools, on average, had 560 learners and 16 educators. Principals perceived the top health priorities for learners to be an unhealthy diet (50%) and to far lesser degree, lack of physical activity (24%) and underweight (16%). They cited lack of physical activity (33%) and non-communicable diseases (NCDs; 24%) as the main health priorities for educators, while substance abuse (66%) and tobacco use (31%) were prioritised for parents. Main barriers to health promotion programmes included lack of financial resources and too little time in the time table. The most common items sold at the school tuck shops were crisps (100%), and then sweets (96%), while vendors mainly sold sweets (92%), crisps (89%), and ice lollies (38%). Very few schools (8%) had policies governing the type of food items sold at school. Twenty-six of the 100 schools that were visited had vegetable gardens. All schools reported having physical activity and physical education in their time tables, however, not all of them offered this activity outside the class room. Extramural sport offered at schools mainly included athletics, netball, and rugby, with cricket and soccer being offered less frequently. CONCLUSION: The formative findings of this study contribute to the knowledge of key environmental and policy determinants that may play a role in the health behaviour of learners, their parents and their educators. Evidently, these show that school environments are not always conducive to healthy lifestyles. To address the identified determinants relating to learners it is necessary to intervene on the various levels of influence, i.e. parents, educators, and the support systems for the school environment including the curriculum, food available at school, resources for physical activity as well as appropriate policies in this regard.

Health promotion services for patients having non-comminicable diseases: feedback from patients and health care providers in Cape Town, South Africa.

BACKGROUND: Due to a paucity of data regarding the availability and efficacy of equipment, health promotion methods and materials currently used by health professionals for the management of patients with non-communicable diseases (NCDs) at primary health care (PHC) facilities in Cape Town, an audit was undertaken. METHODS: A multi-centre cross-sectional study was undertaken to interview patients (n = 580) with NCDs at 30 PHC facilities. A questionnaire was used to obtain information on preferences for health promotion methods for lifestyle modification. Individual semi-structured interviews were conducted with selected health professionals (n = 14) and captured using a digital recorder. Data were transferred to the Atlas ti software programme and analysed using a thematic content analysis approach. RESULTS: Blood pressure measurement (97.6%) was the most common diagnostic test used, followed by weight measurement (88.3%), urine (85.7%) and blood glucose testing (80.9%). Individual lifestyle modification counselling was the preferred health education method of choice for the majority of patients. Of the 64% of patients that selected chronic clubs/support groups as a method of choice, only a third rated this as their first choice. Pamphlets, posters and workshops/group counselling sessions were the least preferred methods with only 9%, 13% and 11% of patients choosing these as their first choice, respectively. In an individual counselling setting 44.7% of patients reported that they would prefer to be counselled by a doctor, followed by a nurse (16.9%), health educator (8.8%) and nutrition advisor (4.8%). Health professionals identified numerous barriers to education and counselling. These can be summarised as a lack of resources, including time, space and equipment; staff-related barriers such as staff shortage and staff turnover; and patient-related barriers such as patient load and patient non-compliance. CONCLUSION: The majority of patients attending PHC facilities want to receive lifestyle modification education. There is not however, one specific method that can be regarded as the gold standard. Patients' preferences regarding health education methods differ, and they are more likely to be susceptible to methods that do not involve much reading. Health education materials such as posters, pamphlets and booklets should be used to supplement information received during counselling or support group sessions.

They think they know but do they? Misalignment of perceptions of lifestyle modification knowledge among health professionals.

OBJECTIVE: The present study aimed to evaluate the knowledge and practices of public-sector primary-care health professionals and final-year students regarding the role of nutrition, physical activity and smoking cessation (lifestyle modification) in the management of chronic diseases of lifestyle within the public health-care sector. DESIGN: A comparative cross-sectional descriptive quantitative study was conducted in thirty primary health-care facilities and four tertiary institutions offering medical and/or nursing programmes in Cape Town in the Western Cape Metropole. Stratified random sampling, based on geographical location, was used to select the health facilities while convenience sampling was used to select students at the tertiary institutions. A validated self-administered knowledge test was used to obtain data from the health professionals. RESULTS: Differential lifestyle modification knowledge exists among both health professionals and students, with less than 10 % achieving the desired scores of 80 % or higher. The majority of health professionals seem to be promoting the theoretical concepts of lifestyle modification but experience difficulty in providing practical advice to patients. Of the health professionals evaluated, doctors appeared to have the best knowledge of lifestyle modification. Lack of time, lack of patient adherence and language barriers were given as the main barriers to providing lifestyle counselling. CONCLUSIONS: The undergraduate curricula of medical and nursing students should include sufficient training on lifestyle modification, particularly practical advice on diet, physical activity and smoking cessation. Health professionals working at primary health-care facilities should be updated by providing lifestyle modification education as part of continuing medical education.

HealthKick: a nutrition and physical activity intervention for primary schools in low-income settings.

BACKGROUND: The burden of non-communicable diseases, including type 2 diabetes, is growing in South Africa. This country has a complex mix of over- and under-nutrition, especially in low-income communities, and concerning levels of physical inactivity in children and youth. This paper describes HealthKick, a school-based nutrition and physical activity intervention in primary schools in these settings aimed at reducing diabetes risk factors. METHODS/DESIGN: This study includes schools within historically disadvantaged, low-income communities from an urban area close to the city of Cape Town and from two rural areas outside of Cape Town, South Africa. The three Educational Districts involved are Metropole North, Cape Winelands and the Overberg. The study has three phases: intervention mapping and formative assessment, intervention development, and outcome and process evaluation. Sixteen schools were purposively selected to participate in the study and randomly allocated as intervention (eight schools) and control (eight schools).The primary aims of HealthKick are to promote healthful eating habits and increase regular participation in health-enhancing physical activity in children, parents and teachers, to prevent overweight, and reduce risk of chronic diseases (particularly type 2 diabetes); as well as to promote the development of an environment within the school and community that facilitates the adoption of healthy lifestyles.The components of HealthKick are: action planning, toolkit (resource guide, a resource box and physical activity resource bin), and an Educators' Manual, which includes a curriculum component. DISCUSSION: This study continues to highlight the key role that educators play in implementing a school-based intervention, but that developing capacity within school staff and stakeholders is not a simple or easy task. In spite of the challenges experienced thus far, valuable findings are being produced from this study, especially from Phase 1. Materials developed could be disseminated to other schools in low-income settings both within and outside of South Africa. Owing to the novelty of the HealthKick intervention in low-income South African primary schools, the findings of the evaluation phase have the potential to impact on policy and practice within these settings.

A questionnaire for screening the micronutrient intake of economically active South African adults.

OBJECTIVE: The aim of the present study was to develop (phase 1) and validate (phase 2) a screening questionnaire to assess the adequacy of micronutrient intake of economically active South African adults. DESIGN: For identification of indicator foods to be included in the screening questionnaire (phase 1), a comprehensive, eighty-six-item, quantified FFQ that reflected the food sources of thirteen selected micronutrients associated with the nutrition-related health status of South Africans was developed and completed by 554 adults of all four major ethnic groups. Resulting dietary data were subjected to stepwise regression analyses to identify indicator foods to be included in the final screening questionnaire. For validation of frequency of intake reporting of specific food items included in the screening questionnaire (phase 2), a sample of sixty-six African and eighty-four white adult volunteers of both genders completed a 7 d record as well as the screening questionnaire. The frequency of intake of specific food items derived from the two methods was then compared using Spearman correlation coefficients. RESULTS: Phase 1 identified thirty indicator foods that formed the basis of the screening questionnaire. In phase 2, significant correlations were found for the total group for twenty-two out of the thirty items in the questionnaire, with correlations being the best for white females and the poorest for African males and females. CONCLUSIONS: A screening questionnaire (thirty-item FFQ) that can be used by researchers and health professionals to assess an individual's risk of inadequate micronutrient intake was developed and validated.

Conference on "Multidisciplinary approaches to nutritional problems". Symposium on "Diabetes and health". Nutrition interventions for the prevention of type 2 diabetes.

Diabetes mellitus is escalating globally and it is predicted that 200 million individuals worldwide will have diabetes by 2010 and 300 million by 2025. However, there is compelling evidence from many studies that for subjects with impaired fasting glucose or impaired glucose tolerance the presentation of type 2 diabetes can be delayed by lifestyle modification. The aim of the present review is to present a summary of lifestyle modification interventions that have included a dietary component in their overall diabetes prevention programme. Medline, allied health literature and diabetes journals were searched for peer-reviewed literature using the terms 'diet*' and 'diabetes' and 'intervention'. Inclusion criteria were: peer-reviewed studies from 1975 to 2008; a sample of at least fifty subjects; a healthy eating and/or physical activity component; prevention of diabetes as a primary goal. Generally, the participants were in a high-risk category for the development of diabetes. Outcomes were evaluated at two points in time (pre- and post-intervention) in terms of knowledge, behaviour change and clinical improvement, which included weight, blood pressure, BMI, body fat, waist circumference, waist:hip ratio and physiological and/or biochemical measures. Findings indicate that the most successful interventions combine individual dietary counselling with an activity component. Further factors predicting success are weight loss achieved, duration and intensity of the intervention and dietary compliance.

Estimating the burden of disease attributable to excess body weight in South Africa in 2000.

OBJECTIVE: To estimate the burden of disease attributable to excess body weight using the body mass index (BMI), by age and sex, in South Africa in 2000. DESIGN: World Health Organization comparative risk assessment (CRA) methodology was followed. Re-analysis of the 1998 South Africa Demographic and Health Survey data provided mean BMI estimates by age and sex. Population-attributable fractions were calculated and applied to revised burden of disease estimates. Monte Carlo simulation-modeling techniques were used for the uncertainty analysis. SETTING: South Africa. SUBJECTS: Adults >or= 30 years of age. OUTCOME MEASURES: Deaths and disability-adjusted life years (DALYs) from ischaemic heart disease, ischaemic stroke, hypertensive disease, osteoarthritis, type 2 diabetes mellitus, and selected cancers. RESULTS: Overall, 87% of type 2 diabetes, 68% of hypertensive disease, 61% of endometrial cancer, 45% of ischaemic stroke, 38% of ischaemic heart disease, 31% of kidney cancer, 24% of osteoarthritis, 17% of colon cancer, and 13% of postmenopausal breast cancer were attributable to a BMI >or= 21 kg/m2. Excess body weight is estimated to have caused 36,504 deaths (95% uncertainty interval 31,018 - 38,637) or 7% (95% uncertainty interval 6.0 - 7.4%) of all deaths in 2000, and 462,338 DALYs (95% uncertainty interval 396,512 - 478,847) or 2.9% of all DALYs (95% uncertainty interval 2.4 - 3.0%). The burden in females was approximately double that in males. CONCLUSIONS: This study shows the importance of recognizing excess body weight as a major risk to health, particularly among females, highlighting the need to develop, implement and evaluate comprehensive interventions to achieve lasting change in the determinants and impact of excess body weight.

Prevalence of cardiovascular diseases and associated risk factors in a rural black population of South Africa.

BACKGROUND: To determine the prevalence and associated risk factors of cardiovascular diseases in a rural adult black population from Limpopo Province in South Africa. DESIGN: A cross-sectional study. METHODS: A sample of 1608 women and 498 men aged 30 years and above participated in the study. Sociodemographic data, anthropometric measures (body mass index, waist/hip ratio), blood pressure and biochemical risk factors were measured. A global cardiovascular disease (CVD) risk profile was developed. RESULTS: There was a high prevalence of tobacco use for men (57%) and women (35.4%), with women (28.1%) predominantly using smokeless tobacco. Alcohol use was very common in men (57.2%). Women weighed a great deal more than men, and 51.7% were either overweight or obese. Diabetes was diagnosed in 8.8 and 8.5% of women and men, respectively. High-density lipoprotein-cholesterol was relatively high, whereas 42.3% of women and 28.5% of men had low-density lipoprotein-cholesterol levels of 3 mmol/l or more. Hypertension (blood pressure > or =140/90 mmHg) was found in 25.5% of women and 21.6% of men. According to the Framingham formulae, 18.9% of women and 32.1% of men had a 20% or higher chance of having a CVD event in the next 10 years. CONCLUSIONS: There was a high prevalence of chronic disease risk factors in the rural, poor black community in Limpopo, South Africa. Consequently, the population had a higher than expected risk of developing a CVD event in the following 10 years when compared with similar studies in black Africans.

Development and validation of a knowledge test for health professionals regarding lifestyle modification.

OBJECTIVES: We wanted to develop and validate a test that assesses the knowledge and practices of health professionals (HPs) with regard to the role of nutrition, physical activity, and smoking cessation (lifestyle modification) in chronic diseases of lifestyle. METHODS: A descriptive cross-sectional validation study was carried out. The validation design consisted of two phases, namely 1) test planning and development and 2) test evaluation. The study sample consisted of five groups of HPs: dietitians, dietetic interns, general practitioners, medical students, and nurses. The overall response rate was 58%, resulting in a sample size of 186 participants. A test was designed to evaluate the knowledge and practices of HPs. The test was first evaluated by an expert group to ensure content, construct, and face validity. Thereafter, the questionnaire was tested on five groups of HPs to test for criterion validity. Internal consistency was evaluated by Cronbach's alpha. RESULTS: An expert panel ensured content, construct, and face validity of the test. Groups with the most training and exposure to nutrition (dietitians and dietetic interns) had the highest group mean score, ranging from 61% to 88%, whereas those with limited nutrition training (general practitioners, medical students, and nurses) had significantly lower scores, ranging from 26% to 80%. This result demonstrated criterion validity. Internal consistency of the overall test demonstrated a Cronbach's alpha of 0.99. Most HPs identified the mass media as their main source of information on lifestyle modification. These HPs also identified lack of time, lack of patient compliance, and lack of knowledge as barriers that prevent them from providing counseling on lifestyle modification. CONCLUSIONS: The results of this study showed that this test instrument identifies groups of health professionals with adequate training (knowledge) in lifestyle modification and those who require further training (knowledge).

Factors associated with overweight/obesity in economically active South African populations.

OBJECTIVE: To investigate factors associated with self-reported weight status of economically active adults from the 4 major ethnic groups in South Africa. DESIGN: Cross-sectional survey. SETTING: South Africa. PARTICIPANTS: A random sample (N=2100) was selected from a database of economically active adults from the 4 major ethnic groups in South Africa (Black, White, Asian, and mixed ancestry). Of the 2100 selected, 554 subjects returned mailed questionnaires. MAIN OUTCOME MEASURES: Weight status (BMI), dieting history, meal patterns, intake of high fat food items and alcohol, level of physical activity, smoking habits, family history of obesity, and socioeconomic characteristics. RESULTS: Identified risk factors for overweight/obesity included: Black ethnicity, education level < or = Grade 7, inactivity, and at least one overweight parent. Protective factors included: describing one's own weight as under- or normal weight, hardly ever or never binging, not having tried to lose weight during the past year, and describing one's own health as excellent. Factors that were not related to overweight/obesity in this group included: employment status, income, smoking, meal patterns, intake of high fat food items and alcohol, and "sick" days taken off from work during the prior 6 months.