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1.
Afr J Reprod Health ; 28(6): 15-24, 2024 06 30.
Artigo em Inglês | MEDLINE | ID: mdl-38979639

RESUMO

A deeper understanding of the factors associated with female genital mutilation remains important in the fight against this practice, particularly in developing countries. This study focused on young women (15-35 years) and pooled analysis using DHS data (2015-2019) for selected sub-Saharan African countries was done. The weighted study sample was 26289 and the data were analysed using univariate, bivariate and multivariate regression analysis. The results are based on information at the time of the survey. The overall prevalence of FGM among young women from the selected countries was 71.5%. Sierra Leone had the highest prevalence (83.7%), followed by Tanzania (80.8%), Ethiopia (73.0%), and Gambia (72.4%). The prevalence in Senegal and Guinea were both below 60%. We found that age, level of education, age at first marriage, parity, employment status, media exposure, and type of place of residence were statistically associated with FGM. This calls for targeted interventions focusing on increasing awareness, education, and empowerment for young women with low socio-economic status.


Une compréhension plus approfondie des facteurs associés aux mutilations génitales féminines reste importante dans la lutte contre cette pratique, en particulier dans les pays en développement. Cette étude s'est concentrée sur les jeunes femmes (15-35 ans) et une analyse groupée utilisant les données DHS (2015-2019) pour certains pays d'Afrique subsaharienne a été réalisée. L'échantillon pondéré de l'étude était de 26 289 et les données ont été analysées à l'aide d'une analyse de régression univariée, bivariée et multivariée. Les résultats sont basés sur les informations disponibles au moment de l'enquête. La prévalence globale des MGF parmi les jeunes femmes des pays sélectionnés était de 71,5 %. La Sierra Leone avait la prévalence la plus élevée (83,7 %), suivie par la Tanzanie (80,8 %), l'Éthiopie (73,0 %) et la Gambie (72,4 %). La prévalence au Sénégal et en Guinée était inférieure à 60 %. Nous avons constaté que l'âge, le niveau d'éducation, l'âge au premier mariage, la parité, la situation professionnelle, l'exposition aux médias et le type de lieu de résidence étaient statistiquement associés aux MGF. Cela nécessite des interventions ciblées axées sur la sensibilisation, l'éducation et l'autonomisation des jeunes femmes ayant un statut socio-économique faible.


Assuntos
Circuncisão Feminina , Humanos , Circuncisão Feminina/estatística & dados numéricos , Feminino , Adulto , Adolescente , Prevalência , Adulto Jovem , África Subsaariana/epidemiologia , Fatores Socioeconômicos , Etiópia/epidemiologia , Senegal/epidemiologia , Conhecimentos, Atitudes e Prática em Saúde , Serra Leoa/epidemiologia , Estudos Transversais , Escolaridade , Tanzânia/epidemiologia
2.
Afr J Prim Health Care Fam Med ; 16(1): e1-e9, 2024 Apr 30.
Artigo em Inglês | MEDLINE | ID: mdl-38708726

RESUMO

BACKGROUND:  Chronic diseases tend to affect the quality of life for older persons worldwide, especially in resource-constrained developing countries. Chronic diseases contribute to a large number of deaths among the population of South Africa. AIM:  This study examines the determinants of self-reported chronic disease diagnoses among older persons in South Africa. SETTING:  The study setting was South Africa. METHODS:  Cross-sectional data from the 2019 South Africa General Household Survey were analysed (n [weighted] = 4 887 334). We fitted a binary logistic regression model to determine the relationship between socio-demographic factors and being diagnosed with self-reported chronic diseases. RESULTS:  We found that at least 5 in 10 older persons were diagnosed with self-reported chronic disease. The bivariate findings showed that age, population group, sex, marital status, level of education, disability status, household composition and province were significantly associated with self-reported chronic disease diagnoses. At the multivariate level, we found that age, sex, population group, marital status, educational level, disability status, household wealth status, household composition and province were key predictors of self-reported chronic disease diagnoses. CONCLUSION:  We found that various factors were key determinants of being diagnosed with self-reported chronic diseases. This study offers important insights into the main correlations between older adults and self-reported chronic illness diagnoses. More study is required on the health of the elderly as it will help direct policy discussions and improve the development of health policies about the elderly.Contribution: This study highlights the need for a better understanding of, and continued research into, the determinants health among older populations to guide future healthcare strategies.


Assuntos
Autorrelato , Humanos , África do Sul/epidemiologia , Masculino , Feminino , Idoso , Doença Crônica/epidemiologia , Estudos Transversais , Pessoa de Meia-Idade , Idoso de 80 Anos ou mais , Fatores Socioeconômicos , Modelos Logísticos , Fatores Etários
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