Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros











Base de dados
Intervalo de ano de publicação
1.
Nat Hum Behav ; 8(5): 903-916, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38480824

RESUMO

Evidence on cardiovascular disease (CVD) risk factor prevalence among adults living below the World Bank's international line for extreme poverty (those with income <$1.90 per day) globally is sparse. Here we pooled individual-level data from 105 nationally representative household surveys across 78 countries, representing 85% of people living in extreme poverty globally, and sorted individuals by country-specific measures of household income or wealth to identify those in extreme poverty. CVD risk factors (hypertension, diabetes, smoking, obesity and dyslipidaemia) were present among 17.5% (95% confidence interval (CI) 16.7-18.3%), 4.0% (95% CI 3.6-4.5%), 10.6% (95% CI 9.0-12.3%), 3.1% (95% CI 2.8-3.3%) and 1.4% (95% CI 0.9-1.9%) of adults in extreme poverty, respectively. Most were not treated for CVD-related conditions (for example, among those with hypertension earning <$1.90 per day, 15.2% (95% CI 13.3-17.1%) reported taking blood pressure-lowering medication). The main limitation of the study is likely measurement error of poverty level and CVD risk factors that could have led to an overestimation of CVD risk factor prevalence among adults in extreme poverty. Nonetheless, our results could inform equity discussions for resource allocation and design of effective interventions.


Assuntos
Doenças Cardiovasculares , Pobreza , Humanos , Pobreza/estatística & dados numéricos , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/economia , Adulto , Prevalência , Masculino , Pessoa de Meia-Idade , Feminino , Fatores de Risco , Hipertensão/epidemiologia , Fatores de Risco de Doenças Cardíacas , Saúde Global/estatística & dados numéricos , Obesidade/epidemiologia , Idoso , Fumar/epidemiologia , Adulto Jovem , Diabetes Mellitus/epidemiologia
2.
Diabetes Care ; 43(4): 767-775, 2020 04.
Artigo em Inglês | MEDLINE | ID: mdl-32051243

RESUMO

OBJECTIVE: Diabetes is a rapidly growing health problem in low- and middle-income countries (LMICs), but empirical data on its prevalence and relationship to socioeconomic status are scarce. We estimated diabetes prevalence and the subset with undiagnosed diabetes in 29 LMICs and evaluated the relationship of education, household wealth, and BMI with diabetes risk. RESEARCH DESIGN AND METHODS: We pooled individual-level data from 29 nationally representative surveys conducted between 2008 and 2016, totaling 588,574 participants aged ≥25 years. Diabetes prevalence and the subset with undiagnosed diabetes was calculated overall and by country, World Bank income group (WBIG), and geographic region. Multivariable Poisson regression models were used to estimate relative risk (RR). RESULTS: Overall, prevalence of diabetes in 29 LMICs was 7.5% (95% CI 7.1-8.0) and of undiagnosed diabetes 4.9% (4.6-5.3). Diabetes prevalence increased with increasing WBIG: countries with low-income economies (LICs) 6.7% (5.5-8.1), lower-middle-income economies (LMIs) 7.1% (6.6-7.6), and upper-middle-income economies (UMIs) 8.2% (7.5-9.0). Compared with no formal education, greater educational attainment was associated with an increased risk of diabetes across WBIGs, after adjusting for BMI (LICs RR 1.47 [95% CI 1.22-1.78], LMIs 1.14 [1.06-1.23], and UMIs 1.28 [1.02-1.61]). CONCLUSIONS: Among 29 LMICs, diabetes prevalence was substantial and increased with increasing WBIG. In contrast to the association seen in high-income countries, diabetes risk was highest among those with greater educational attainment, independent of BMI. LMICs included in this analysis may be at an advanced stage in the nutrition transition but with no reversal in the socioeconomic gradient of diabetes risk.


Assuntos
Índice de Massa Corporal , Países em Desenvolvimento/estatística & dados numéricos , Diabetes Mellitus/epidemiologia , Escolaridade , Renda/estatística & dados numéricos , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Diabetes Mellitus/economia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pobreza/estatística & dados numéricos , Prevalência , Classe Social , Determinantes Sociais da Saúde/economia , Determinantes Sociais da Saúde/estatística & dados numéricos , Fatores Socioeconômicos
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA