Food and Nutrition Insecurity in Selected Rural Communities of KwaZulu-Natal, South Africa—Linking Human Nutrition and Agriculture
Abstract
:1. Introduction
1.1. Overview of the KwaZulu-Natal Population
1.1.1. Political Demarcations
1.1.2. Population Statistics and Distribution
1.1.3. Socio-Economic Status
2. Methodology
3. Results and Discussion
3.1. Dietary Intake, Balanced Diets, Human Health and Well-Being in KwaZulu-Natal
3.1.1. Undernutrition
Stunting
Underweight and Wasting
Micronutrient Deficiency—Vitamin A Deficiency (VAD)
3.1.2. Over-Nutrition
Overweight and Obesity
3.2. Nutritional Interventions in KwaZulu-Natal
3.2.1. Food Fortification
3.2.2. Vitamin A Supplementation
3.2.3. Integrated Management of Acute Malnutrition Outpatient Supplementation
3.3. Dietary Diversity
4. Linking Agriculture to Addressing Malnutrition
5. The Way Forward
6. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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District | Local Municipalities |
---|---|
Ugu | Ezinqoleni, Hibiscus Coast, uMdoni, uMuziwabantu, uMzumbe and Vulamehlo |
uMgungundlovu | Impendle, Mkhambathini, Mpofana, Msunduzi, Richmond, uMngeni and uMshwathi |
uThukela | Emnambiti/Ladysmith, Imbabazane, Okhahlamba and uMtshezi |
uMzinyathi | Endumenil, uMsinga, Nquthu and uMvoti |
Amajuba | Dannhauser, eMadlangeni and Newcastle |
Zululand | AbaQulusi, eDumbl, Ulundi and uPhongolo |
Umkhanyakude | Hlabisa, Jozini, Mtubatuba, The big 5 False Bay and uMhlabuyalingana |
UThungulu | City of uMhlathuze, Mthonjaneni, Nkandla, Ntambanana, uMfolozi and uMlalazi |
ILembe | KwaDukuza, Mandeni, Maphumulo and Ndwedwe |
Harry Gwala (previously known as Sisonke) | Greater Kokstad, Ingwe, kwaSani, Ubuhlebezwe and uMzimkulu |
Age | Classification | Indicator |
---|---|---|
Under 5 years (MUAC not done in under 6 months) | SAM | WFH < −3 SD; MUAC < 11.5 cm |
MAM | WFH < −2,−3 SD; MUAC 11.5–12.4 cm | |
NAM at risk | WFH < −2 SD; MUAC > 12.4 | |
5–9 years | SAM | BMI < −3 SD MUAC < 13.5 cm |
MAM | BMI for age ≥ −3 SD– < −2 SD MUAC 13.5–14.5 cm | |
10–14 years | SAM | BMI < −3 SD MUAC < 16 cm |
MAM | BMI for age ≥ −3 SD– < −2 SD MUAC 16–18 cm | |
>15 years | SAM | BMI < 16 kg·m2 MUAC < 21 cm |
MAM | BMI 16–18.5 kg·m2 MUAC 21–23 cm | |
Pregnant and lactating woman | SAM | MUAC < 21 cm |
MAM | MUAC 21–23 cm |
Authors | Study Design and Methods | Area Conducted | Participants | Findings |
---|---|---|---|---|
Napier and Oldewage-Theron [69] | Three informal settlements were randomly selected. Anthropometric data was collected (weight and height) and a structured 24-h recall was conducted. | eThekwini municipal district (Urban area) | Girls in secondary school and women aged 19–28 years of age (n = 523) | Stunting was evident in young girls (7.7%). Forty-three percent of the girls were at risk of being overweight and 12.8% were overweight. BMI for age indicated that 5.2% of the women were underweight and that 30.5% and 15% were overweight and obese respectively. Half the women had a normal BMI. The intake of micronutrients was adequate in both the girls and women, however, the energy intakes were inadequate. |
Duncan et al. [68] | Nested cross sectional study. Anthropometric measurements and blood pressure were measured for all participants. A questionnaire was formulated and participants interviewed. | Manguzi, KwaZulu-Natal (Mahlungulu, Maputa, Mshundu, Thengane and Zama Zama) | 109 males and 391 females. Patients from 11 primary healthcare clinics | The results of the study indicated that 28% of the participants were overweight, 34% were obese and 4% were underweight. This study concluded that most of the participants were overweight and obese; however, not many participants perceived that they were overweight. |
Devanathan et al. [71] | Cross sectional exploratory study. Systematic sampling was used. Anthropometric measurements were taken and an interview was conducted. | Wentworth Hospital, Durban, KZN | 328 urban black women aged 19–70 years | The prevalence of overweight and obesity was 16% and 76% respectively. All participants had one or more chronic diseases of lifestyle. The overweight and obese women who had one or more chronic diseases of lifestyle perceived themselves as thinner than they were. |
Grobbelaar et al. [70] | Anthropometric measurements were conducted. Seven-day cycle menu was obtained and analysed. | Three residential care facilities Durban | 33 girls and 110 boys aged 5–18 years | Severe stunting was noted in 4.7% and 3.3% of the boys aged 4–8 years and 14–18 years, respectively. Stunting affected 13.3% and 20% of girls aged 9–13 years and 14–18 years, respectively. Wasting was noted in 6.7% of girls aged 9–13 years and 3.3% of boys aged 14–18 years. 26.7% of girls aged 14–18 years were overweight and 33.45% of girls aged 9–13 years were at risk of becoming overweight. This study found that younger boys were more overweight than younger girls were and the opposite was noted for older boys compared to girls. These authors found that majority of the children consumed all the foods on their plate. The energy, protein and carbohydrate intakes met 100 percent or more of the Dietary Reference Intake (DRI). Calcium and iodine requirements were not met by the children. Further, low intake of vitamin C was noted in both the older girls and boys. Recommended fibre intakes were not met by any of the groups. Results from this study showed that fruit and vegetable intake was limited. On average, a single serving of 40 g of vegetable was given to the children whereas fruit was only given three times a week. This study concluded that although large portions were given to the children the foods were nutritionally inadequate and there was poor intake of fruits, vegetables, milk and milk products. |
Kolahdooz et al. [73] | Cross-sectional study assessing dietary adequacy from a 24-h recall. Participants were randomly selected. | Empangeni, KZN | 136 rural adults (52 males and 84 females) | Energy content of both male and female diets exceeded the DRI (2200 and 1800 kcal, respectively). Mean daily energy intake from carbohydrate intake of both males and females was higher than the DRI (69% and 66%, respectively). This study indicated that although the protein intake was adequate, plant sources of protein were consumed by the majority of the subjects. This study showed that the male participants consumed inadequate amounts of vitamin A, B12, calcium and zinc. The sodium intakes in all groups were higher than the DRI. This study concluded that despite food fortification in South Africa, the majority of the study population consumed diets that contained inadequate amounts of vitamin A, B12, C, D and E, calcium, zinc and pantothenic acid. |
Tathiah et al. [75] | Secondary analysis of anthropometric data (weight and height) collected during the HPVVDP in Zululand, SA during 2011. | Nongoma and Ceza, Zululand | Girls aged 9–14 years | There was a high prevalence of stunting in the age group 11–12 years. More than 50% of children aged 13–14 years were stunted. Overall, 9% were overweight, 3.8% were obese, 4% were underweight and 9.2% were stunted. Both under and over nutrition was noted in girls between 9–14 years residing in two rural areas of KZN. |
Spearing et al. [72] | Random selection of persons living in rondavels of the same socioeconomic status. Data obtained for the recipes were analysed by Nutribase clinical Nutrition Manager, version 9. | Rural village surrounding Empangeni, KZN | 34 males and 45 females that prepared or purchased foods | Commonly consumed composite dishes were; fried beef, beef stew, beef soup, fried chicken, chicken soup, chicken stew, fish stew, dumplings, jeqe, phutu, potatoes, stiff pap, beans, samp and beans, fried spinach and fried cabbage. The study found that participants’ diets contained good sources of protein, vitamins and minerals; however, it was high in fat. |
Zhou et al. [76] | A large population based survey measuring BMI and blood pressure. | Hlabisa sub-district in rural UMkhanyakude | BMI (2298 participants) and Blood pressure (2307 participants) Females aged 15–49 and males aged 15–54 | More than half of the participants were overweight (58.4%). This study showed that females were more likely to be overweight in comparison to their male counterparts. |
Schoeman et al. [29] | A cross-sectional study was conducted. Structured interview questionnaires were used and anthropometric measurements were taken (height and weight). | Umkhanyakude (n = 398) (sub-district Jozini), Zululand (n = 303) (sub-district Pongola) and Oliver Reginald Tambo (OR) Municipality (n = 364) (sub-district Nyandeni) | Children between 0–59 months fromUMkhanyakude, Zululand and OR Tambo | Thirty percent of participants in the two KZN districts had food gardens. Half of the participants from the two KZN districts had experienced a food shortage in the previous 12 months. Zululand had the lowest coverage of vitamin A supplementation. Wasting was not a concern in this study. The highest rates of stunting were seen in UMkhanyakude (6%) in the 12–23-month old group. Stunting was higher in the second year of life. The rates of overweight in 0–23-month group was higher than underweight. There was a high rate of obesity noted among the caregivers in the study (UMkhanyakude = 42%, Zululand = 60%). |
Smuts et al. [39] | A cross-sectional study was conducted. A questionnaire was used and anthropometric measurements were taken. | OR Tambo and Alfred Nzo district (Eastern Cape, n = 1794) and UMkhanyakude and Zululand (n = 1988) | Children 0–71 months old and caregivers | Between sixteen and eighteen percent of the children in both provinces were overweight. Childhood malnutrition was seen to double from the first year of life to the second. Further, the prevalence of stunting was significantly high in the Nongoma district of KZN. The mean BMI for the caregivers were above 25 kg/m2 for all areas except the UMkhanyakude district. Obesity was higher among females; 45% of female caregivers in KZN were obese. Only 9% of the caregivers in the UMkhanyakude district were underweight. This study indicates that maternal over nutrition and childhood malnutrition co- exist in both the Eastern Cape and KZN. |
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Govender, L.; Pillay, K.; Siwela, M.; Modi, A.; Mabhaudhi, T. Food and Nutrition Insecurity in Selected Rural Communities of KwaZulu-Natal, South Africa—Linking Human Nutrition and Agriculture. Int. J. Environ. Res. Public Health 2017, 14, 17. https://doi.org/10.3390/ijerph14010017
Govender L, Pillay K, Siwela M, Modi A, Mabhaudhi T. Food and Nutrition Insecurity in Selected Rural Communities of KwaZulu-Natal, South Africa—Linking Human Nutrition and Agriculture. International Journal of Environmental Research and Public Health. 2017; 14(1):17. https://doi.org/10.3390/ijerph14010017
Chicago/Turabian StyleGovender, Laurencia, Kirthee Pillay, Muthulisi Siwela, Albert Modi, and Tafadzwanashe Mabhaudhi. 2017. "Food and Nutrition Insecurity in Selected Rural Communities of KwaZulu-Natal, South Africa—Linking Human Nutrition and Agriculture" International Journal of Environmental Research and Public Health 14, no. 1: 17. https://doi.org/10.3390/ijerph14010017
APA StyleGovender, L., Pillay, K., Siwela, M., Modi, A., & Mabhaudhi, T. (2017). Food and Nutrition Insecurity in Selected Rural Communities of KwaZulu-Natal, South Africa—Linking Human Nutrition and Agriculture. International Journal of Environmental Research and Public Health, 14(1), 17. https://doi.org/10.3390/ijerph14010017