The relationship between employment status of the mother, household hunger and nutritional status of children in Sekhukhune District, Limpopo Province

Introduction: In the year 2012, South Africa had a prevalence rate of stunting in children aged 1- 3, 4 - 6 and 7 – 9 years at 26.5%, 11.9% and 9.4%, respectively (Shisana et al. (2013). The Greater Sekhukhune District Municipality (GSDM) also showed a high rate of stunting (36%) in children aged 13 to 215 months of age (FIVIMS, 2006). The GSDM had a high unemployment rate of 69% to 82.4% (Statistics SA, 2006; Department of Social Development, 2008).). South Africa has adequate food supplies to feed the entire population at the national level (Labadarios et al., 2011; du Toit et al., 2011); however, there is evidence of under-nutrition caused by lack of purchasing power, and not a shortage of food (Rose and Charlton, 2001). Aim: The aim of the study was to determine the relationship between the employment status of the mother, household hunger and the nutritional status of children aged one to twelve years (1-12 years) in households of Sekhukhune District in Limpopo Province. Objectives : The objectives of the study were to determine the socio-economic status of the household; to assess the nutritional status of children using anthropometric measurements; to assess dietary patterns of children in households; to determine household food security using food inventories; to determine the prevalence of household hunger using the standardized hunger scale; to determine the coping strategies to food deprivation used in each household and to determine the association between employment status of the mother, nutritional status of children and household hunger. Methodology: The study design was a cross sectional, exploratory and correlational study. The study used both quantitative and qualitative methods of data collection. A simple random sampling method was used to select nine villages from Makhuduthamaga local municipality and twenty households per village were selected using the systematic random sampling. Data was collected in households and a sample size of 180 children was selected based on the availability of a child within the selected age group. If there were more than one child within the 1-12 years, each child was then allocated a number and the one with the least number was selected. Biological mothers were the preferred participants, however if the mother was unavailable, the primary caregiver was selected and180 mothers or caregivers Results: The majority (92.2%) of mothers were unemployed and 91% of them had an income of less than R500.00 per month, whereas 33.9% of households had total income of less than R1000.00 About 64.4% and 28.4% borrowed food from neighbours/family/friends and bought food on credit from the local shop. The anthropometric status of children indicated a high prevalence of stunting, a medium prevalence of underweight and a low prevalence of wasting. Most caregivers were overweight or obese. About 66% of children ate three meals per day. Almost 44% of households were food insecure, whereas 33.9% were at risk of hunger and only 21.7% were food secure. There was no association between employment status of the mother, household hunger and anthropometric status indicators. Conclusion: Greater Sekhukhune District Municipality has a high rate of unemployment, poor household income and purchasing power and high level of food insecurity. The employment status of the mother was not associated with the level of wasting, stunting and underweight. Furthermore, employment status was also not associated with the level of hunger. Caregivers employed various strategies to cope with periods of food deprivation

Author dc:creator

• Phooko, Ditope Annah

Advisors dc:contributor.advisor

• Mbhenyane, X. G.
• Nesamvuni, C. N.

• Hunger
• Food security
• Unemployment
• Nutritional status
• Households

Statement dc:rights

• University of Venda

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/11602/735

OAI identifier oai:identifier

oai:univendspace.univen.ac.za:11602/735