Study design: Prospective, regional population-based study. Objectives: To provide the incidence, aetiology and injury characteristics of traumatic spinal cord injury (TSCI) in the City of Cape Town, South Africa. Setting: All government-funded hospitals within the City of Cape Town, South Africa. Methods: All survivors of acute TSCI, given that they met the inclusion criteria, were prospectively included for a 1-year period. The International Spinal Cord injury Core Data Set was used and systematically completed by specialist doctors. Further, international standards for neurological classification were adhered to. Results: In total, 147 cases of acute TSCI were identified and 145 were included in the study. The male to female ratio was 5.9:1 and the mean age was 33.5 years, ranging from 18 to 93. The crude incidence rate was 75.6 per million (95% CI: 64.3-88.8) with assault as the main cause of injury, accounting for 59.3% of the cases, followed by motor vehicle accidents (26.3%) and falls (11.7%). Most injuries occurred in the cervical spine (53.1%), and American Spinal Injury Association Impairment Scale A severity was most common (39.3%) in the cohort. Conclusion: The incidence rate of TSCI in a region of South Africa was high when compared to previously postulated figures for the country. There is a need for primary preventative strategies to target younger men that are exposed to violent activities. A national study is required to learn whether these findings are only locally applicable or generalisable.

Study design A prospective, regional, population-based study.Objectives (1) Determine the mortality rate and factors associated with it 4 years after a TSCI and (2) The point prevalence of secondary medical complications of survivors at 4 years. Setting Communities of the Cape metropolitan area, South Africa. Methods All persons (n = 145) sustaining a TSCI from 15 September 2013 to 14 September 2014 were eligible for followup at 4 years. Participants were contacted after 4 years. The next of kin, via verbal autopsy, was used to establish cause of death. Those who were alive at 4 years were asked to indicate any secondary medical complications. Logistic regression techniques were used to identify independently associated risk indicators for death and development of secondary complications, respectively. Results Of the initial 145 persons, 87 were included and accounted for. Of these, 21 (24%) had died, 55 (63%) were alive and completed the survey, and 11 (13%) were classified as alive but did not submit the survey. The main cause of death reported was septicaemia (n = 7; 33%), followed by unknown natural causes (n = 7; 33%), then pressure injuries (n = 5; 24%). Out of the 55 persons alive, 89% had at least one medical complication at the time of enquiry, while more than 50% experienced 6 or more complications. The most common complications were pain (80%), muscle spasms (76%), sleeping problems (56%), and bladder dysfunction (44%). Conclusions Almost one-quarter of persons with TSCI have died 4 years after injury. Also, secondary complications were found to be highly prevalent at 4 years. This information could be used to develop secondary complications prevention programmes to reduce premature deaths.

BackgroundThe increase in the prevalence of overweight and obesity in low- and medium-income countries has a negative impact on overall health. Correct perception of one’s body weight is a step in seeking healthy help toward weight reduction in overweight and obese individuals.ObjectiveThis study was carried out to assess the body weight misperception and dissatisfaction among overweight and obese adults in an urban African setting.MethodsThis study was part of a larger cross-sectional study that was designed to plan an intervention for overweight and obese adults in an urban African setting. For this study, we randomly selected only overweight and obese adults (≥18 years old) who consented to participate in the study from 15 enumeration areas in Alimosho Local Government Area of Lagos State, Nigeria. We followed the World Health Organization guidelines for conducting community surveys in recruiting overweight and obese participants. We assessed body weight perception and dissatisfaction through their responses to the following: “How do you describe your weight?” and “I feel bad about myself because of my weight.” Data for this study were collected between November 2012 and March 2013.ResultsWe recruited 567 participants, of whom more than half (n=304, 53.6%) misperceived their weight as either underweight or normal weight, and 61.2% (n=186) of whom were women. The strength of agreement between the actual body mass index and weight perception was very poor (κ=.032, SE .015, P=.04). The strongest predictor of weight perception was sex (female) with an odds ratio of 1.63 (95% CI 1.13-2.35). About 41.1% (n=233) of the participants were dissatisfied with their weight, of whom 30.0% (n=70) were men. Age (young adult) was a predictor of weight dissatisfaction with an odds ratio of 2.37 (95% CI 1.62-3.46).ConclusionsMore than half of the participants misperceived their body weight as either underweight or normal weight, and the majority of them were women. More men were not happy with their body weight, and participants in the young adult age group were more dissatisfied with their body weight.

No abstract

Objectives: To determine the influence of employment, injury characteristics and living situation on psychosocial reintegration in individuals who sustained a traumatic spinal cord injury (TSCI) in South Africa. Design: A cross-sectional exploratory survey. Settings: Communities of the Cape Metropolitan Area, South Africa. Participants: A total of 108 community-dwelling adults, between ages of 19 and 71 years, who have sustained a TSCI more than 1-year ago. Outcome measures: : The Sydney psychosocial reintegration scale (SPRS-2). Results: The SPRS-2 and domains mean (SD) scores were: (1) Overall SPRS-2 of 27.87(13.4); (2) Occupational activity of 8.62 (4.8); (3) Interpersonal relationships of 9.80 (5.1); and (4) Living skills of 9.45 (4.9). Multivariate regression analysis resulted in two significant independent variables, namely employment and living situation. Employment alone explained 24.3% of the variance in the overall psychosocial model, 25.6% in the occupational activity model, while employment together with living situation explained 24.2% of the variance in the living skills model, with those employed reporting better psychosocial reintegration and those living in informal dwellings reporting poorer psychosocial reintegration. Conclusion: Employment and living situation strongly influenced psychosocial reintegration following a TSCI, indicating the important role of socio-economic status for psychosocial adaptation after injury. As employment plays a significant mediating role, and living in informal dwellings negatively affect psychosocial reintegration following a TSCI, rehabilitation stakeholders and policy makers need to continue lobbying for social and political change that support employment opportunities and provide accessible housing for persons with TSCI.