scholarly journals Co-occurrence of risk factors for non-communicable diseases among in-school adolescents in Tanzania: an example of a low-income setting of sub-Saharan Africa for adolescence health policy actions

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Festo K. Shayo
Author(s):  
Blaise Nguendo Yongsi

Background: In sub-Saharan Africa, communicable diseases have long been among the most prominent contributors to disease burden. However, like most low-income and middle-income countries across the globe, countries in sub-Saharan Africa are experiencing a shift from disease-burden profiles dominated by communicable diseases and childhood illnesses to profiles featuring an increasing predominance of chronic, non-communicable diseases (NCDs). Objective : The main objective of this study is to investigate the magnitude of non-communicable chronic diseases at the Chantal Biya Foundation in Yaoundé. Design and participants: This is an institution-based and cross-sectional study conducted from january to december 2018. Participants were in and out patients who visited the institution and whose a medical condition was clearly diagnosed. Results : Of the 643 medical records, leading causes of visit were infectious diseases (51.1%), followed by NCDs (48.9%). Diagnosed NCDs range from sickle cell disease (5.7%), injuries (9.8%), cardiovascular diseases (12.0%), to cancers (25.0%). Conclusion There is a significant burden of NCDs among adolescents in Yaoundé. Then, interventions for primordial prevention (ie, actions to inhibit the emergence of NCD risk factors) and primary prevention (ie, actions on existing NCD risk factors), as well as educational programmes on leading modifiable behavioural risk factors and metabolic risk factors are crucial.


2020 ◽  
Author(s):  
Sphamandla Josias Nkambule ◽  
Indres Moodley ◽  
Desmond Kuupiel ◽  
Tivani P. Mashamba-Thomson

Abstract BackgroundIn previous studies, food insecurity has been hypothesised to promote the prevalence of metabolic risk factors on the causal pathway to diet-sensitive non-communicable diseases (NCDs). This prevalence has been shown to differ between gender and populations. However, evidence of this association in resources-limited settings with high levels of food insecurity such as sub-Saharan African countries remains elusive.PurposeWe aimed to identify the association between food insecurity and key metabolic risk factors on the causal pathway to diet-sensitive NCDs in sub-Saharan African population.MethodsWe did a systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Relevant studies published between January 2015 and October 2019 were searched in PubMed, Web of Science (SCiELO Citation Index), and five other databases followed by explicit and reproducible hand-searches of included studies which were peer-reviewed epidemiological studies conducted in sub-Saharan Africa, directly measured food insecurity, and compared food insecurity to a metabolic risk factor outcome. Two reviewers extracted all the necessary data from individual studies independently and employed the Mixed Methods Appraisal Tool (MMAT) – Version 2018 to evaluate the risk of bias. Prevalence estimates from individual studies were pooled using the random-effect model.ResultsThe initial searches yielded 11 803 articles, 22 were eligible for inclusion, presenting data from 26 609 food-insecure participants and 11 545 incident of metabolic risk factor cases. Most studies confirmed an adverse association between food insecurity and key metabolic risk factors for diet-sensitive NCDs. The Meta-analysis showed a significantly high pooled prevalence estimate of key metabolic risk factors at 41.8 per cent (95% CI: 33.2% to 50.8%, I2 = 99.5% p-value < 0.00). The most prevalent type of metabolic risk factors was dyslipidaemia 27.6 per cent (95% CI: 6.5% to 54.9%), hypertension 24.7 per cent (95% CI: 15.6% to 35.1%), and overweight 15.8 per cent (95% CI: 10.6% to 21.7%). Notably, the prevalence estimates of these metabolic risk factors were considerably more frequent in females than males.ConclusionThis study is the first to systematically review or meta-analyse the association between food insecurity and key metabolic risk factors for diet-sensitive non-communicable diseases (NCDs) in sub-Saharan African countries, in order to generate an integrated, evidence-based, comprehensive summary of how key metabolic risk factors are patterned by food insecurity. Further high-quality longitudinal data and mediation analysis are warranted to understand the basis of this findings to support targeted prevention and control strategies for those confronted with food insecurity.PROSPERO registration number: PROSPERO 2019 CRD42019136638


2020 ◽  
Vol 151 (2) ◽  
pp. 547-574 ◽  
Author(s):  
Lukas Salecker ◽  
Anar K. Ahmadov ◽  
Leyla Karimli

AbstractDespite significant progress in poverty measurement, few studies have undertaken an in-depth comparison of monetary and multidimensional measures in the context of low-income countries and fewer still in Sub-Saharan Africa. Yet the differences can be particularly consequential in these settings. We address this gap by applying a distinct analytical strategy to the case of Rwanda. Using data from two waves of the Rwandan Integrated Household Living Conditions Survey, we combine comparing poverty rates cross-sectionally and over time, examining the overlaps and differences in the two measures, investigating poverty rates within population sub-groups, and estimating several statistical models to assess the differences between the two measures in identifying poverty risk factors. We find that using a monetary measure alone does not capture high incidence of multidimensional poverty in both waves, that it is possible to be multidimensional poor without being monetary poor, and that using a monetary measure alone overlooks significant change in multidimensional poverty over time. The two measures also differ in which poverty risk factors they put emphasis on. Relying only on monetary measures in low-income sub-Saharan Africa can send inaccurate signals to policymakers regarding the optimal design of social policies as well as monitoring their effectiveness.


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