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1.
Gac. méd. boliv ; 43(2): 147-157, dic. 2020. ilus
Artigo em Espanhol | LILACS | ID: biblio-1249996

RESUMO

Las desigualdades en salud comúnmente son evaluadas en una sola dimensión de análisis y poco se conoce sobre el efecto sumativo o multiplicativo cuando se combinan 2 o más dimensiones sociales; representando un desafío para la prevención y control de la Presión Arterial Elevada (PAE). OBJETIVO: analizar los factores involucrados en las desigualdades poblacionales de la prevalencia de PAE en el espacio inter seccional de los procesos de ventaja y desventaja social por referencia étnica y de género. MÉTODOS: estudio observacional, de corte transversal con enfoque interseccional. Participaron sujetos mayores de 18 años con residencia permanente en Cochabamba (n=10595), seleccionados mediante muestreo aleatorio trietápico. Se utilizó la encuesta WHO-STEPS para recopilar información sobre PAE y factores de riesgo asociados. Se construyeron cuatro posiciones interseccionales por la combinación de género y etnicidad. La descomposición de Oaxaca-Blinder se aplicó para estimar las contribuciones de los factores explicativos de las desigualdades. RESULTADOS: la prevalencia de PAE fue mayor en los hombres-mestizos (10,76%); la disparidad por referencia de género fue más importante entre mestizos (3,74%) e indígenas (3,11%); la disparidad interseccional entre grupos extremos (3,53%) fue mayor a la disparidad entre grupos medios (3,32%). La edad, el tipo de trabajo y estilos de vida, contribuyeron más para explicar estas diferencias. CONCLUSIONES: la PAE no se distribuye según los patrones esperados de desventaja social en el espacio interseccional de etnicidad y género. Una alta ventaja social se relacionó con prevalencias más altas de PAE, así como los factores de riesgo de comportamiento asociados.


Health inequalities are commonly evaluated in a single dimension of analysis and little is known about the summative or multiplicative effect when 2 or more social dimensions are combined; representing a challenge for the prevention and control of High Blood Pressure (HBP). OBJECTIVE: analyze the factors involved in the inequalities of the prevalence of HBP in the inter-sectional space of the processes of social advantage and disadvantage by ethnic and gender reference. METHODS: observational, cross-sectional study with an intersectional approach. Subjects over 18 years of age with permanent residence in Cochabamba (n = 10,595), selected by means of three-stage random sampling, participated. The WHO-STEPS survey was used to collect information on HBP and the risk factors associated. Four intersectional positions were constructed by the combination of gender and ethnicity. The Oaxaca-Blinder decomposition was applied to estimate the contributions of the explanatory factors of the inequalities. RESULTS: the prevalence of HBP was higher in mestizos men (10.76%); the disparity by gender reference was more important between mestizos (3.74%) and indigenous people (3.11%); the intersectional disparity between extreme groups (3.53%) was greater than the disparity between middle groups (3.32%). Age, type of work, and lifestyles contributed more to explain these differences. CONCLUSIONS: the HBP is not distributed according to the expected patterns of social disadvantage in the intersectional space of ethnicity and gender. A high social advantage was related to higher prevalence of HBP, as well as associated behavioral risk factors.


Assuntos
Humanos , Masculino , Fatores de Risco , Pressão Arterial , População , Trabalho , Prevalência
2.
Int J Equity Health ; 18(1): 153, 2019 10 15.
Artigo em Inglês | MEDLINE | ID: mdl-31615512

RESUMO

BACKGROUND: Social inequalities in obesity have been observed not only by gender but also between ethnic groups. Evidence on combined dimensions of inequality in health, and specifically including indigenous populations, is however scarce, and presents a particularly daunting challenge for successful prevention and control of obesity in Bolivia, as well as worldwide. OBJECTIVE: The aims of this study were i) to examine intersectional inequalities in obesity and ii) to identify the factors underlying the observed intersectional inequalities. METHODS: An intersectional approach study was employed, using the information collected in a cross-sectional community-based survey. The sample consisted of youth and adults with permanent residence in Cochabamba department (N = 5758), selected through a multistage sampling technique. An adapted version of the WHO-STEPS survey was used to collect information about Abdominal obesity and risk factors associated. Four intersectional positions were constructed from gender (woman vs. men) and ethnic group (indigenous vs. mestizo). Joint and excess intersectional disparities in obesity were estimated as absolute prevalence differences between binary groups, using binomial regression models. The Oaxaca-Blinder decomposition was applied to estimate the contributions of explanatory factors underlying the observed intersectional disparities, using Oaxaca command in Stata software v15.1. RESULTS: The prevalence of abdominal obesity had a higher prevalence in mestizos (men 35.01% and women 30.71%) as compared to indigenous (men 25.38% and women 27.75%). The joint disparity was estimated at 7.26 percentage points higher prevalence in the doubly advantaged mestizo men than in the doubly disadvantaged indigenous women. The gender referent disparity showed that mestizo-women had a higher prevalence than indigenous-women. The ethnic referent disparity showed that mestizo-men had a higher prevalence than indigenous men. The behavioural risk factors were the most important to explain the observed inequalities, while differences in socioeconomic and demographic factors played a less important role. CONCLUSION: Our study illustrates that abdominal obesity is not distributed according to expected patterns of structural disadvantage in the intersectional space of ethnicity and gender in Bolivia. In the Cochabamba case, a high social advantage was related to higher rates of abdominal obesity, as well as the behavioural risk factors associated with them.


Assuntos
Disparidades nos Níveis de Saúde , Obesidade/epidemiologia , Grupos Populacionais/estatística & dados numéricos , Fatores Socioeconômicos , Adolescente , Adulto , Bolívia , Estudos Transversais , Etnicidade/estatística & dados numéricos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Obesidade Abdominal/epidemiologia , Prevalência , Fatores de Risco , Adulto Jovem
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