Background The older person population is rapidly increasing globally, including sub-Saharan Africa (SSA). Concurrently, malnutrition is also increasing among older persons in SSA, with a dearth of empirical evidence on nutritional status and associated factors among the older persons in the region to inform effective interventions to promote healthy ageing. Aim/Objective This review assessed the nutritional status and associated factors among older persons in SSA. Method PubMed, Google Scholar, and Cochrane Library electronic databases were searched for published articles from 2010 to 2021 using keywords and Boolean logic. Also, we carried out a free web-based search to retrieve other relevant evidence that assesses the older persons’ nutritional status. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart was used to appraise the research articles that responded to the study’s research questions. Findings Twenty studies met the inclusion criteria, from which data were extracted as findings. The malnutrition prevalence was between 6 to 54% among older persons in SSA. We found that the prevalence of malnutrition vary and could be as high as 28.4% in a low socio-economic status area. Of these studies, twelve (12) provided data on undernutrition with prevalence ranging from 2.9 to 41%;10 provided data on overweight (8.1–54.1%) and 5 on obesity (2.7–44.7%). Seventeen of the studies evaluated factors associated with malnutrition; 4 studies revealed the association between socioeconomic status and malnutrition, 7 studies reported a significant association between dietary habits and malnutrition. Four studies showed an association between educational status and malnutrition. Disease conditions associated with malnutrition were reported in four of the studies. Conclusion This review shows that malnutrition is a problem among older persons in SSA coupled with many risk factors which should be given critical attention. We recommend nutrition education for older persons as well as the development of nutrition interventions for this vulnerable group.
Background. Diabetes is one of the leading causes of sickness, death, and decreased quality of life globally. The prevalence of diabetes keeps rising globally due to lifestyle changes and urbanization. Therefore, improved quality of life (QoL) and appropriate diabetes self-management practices, including treatment adherence, are crucial to improving and sustaining the health of diabetic patients. Some studies have adopted the self-determination theory (SDT) to study diabetes interventions, but less is known about its effectiveness in improving QoL, treatment adherence, and diabetes self-management. Aim/Objective. This review assessed the effectiveness of SDT in improving self-management practices, treatment adherence, and QoL among adult diabetic patients. Method. We followed the six-stage framework by Arksey and O’Malley in conducting the review. PubMed, JSTOR, Central, and ScienceDirect databases were searched for published articles from January 2011 to October 2021 using keywords and Boolean logic. Furthermore, we screened a reference list of related articles. Also, Google Scholar, Z-library, and web-based searches were carried out to retrieve other relevant evidence that applied SDT in improving QoL, diabetes self-management, and treatment adherence. Findings. Fifteen studies met the inclusion criteria, from which data were extracted as findings. SDT effectively improved QoL, diabetes treatment adherence, and diabetes self-management among diabetic patients. Of these studies, 11 provided data on SDT and diabetes self-management and affirmed the effectiveness of the theory in improving appropriate diabetes self-management practices. Two studies confirmed the effectiveness of SDT in improving treatment adherence. SDT and QoL were assessed in 4 of the studies, which demonstrated the effectiveness of SDT in enhancing the QoL of diabetic patients. Conclusion. SDT effectively improved QoL, diabetes treatment adherence, and diabetes self-management. The application of SDT in diabetes management will improve the health and QoL of diabetic patients. Hence, diabetes management interventions could adopt SDT to guide treatment.
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