ArticleSAGE open nursing
Sociodemographic Factors Associated with Improved Metabolic Syndrome in Slum Dwelling Adults in Kenya: A Randomized Controlled Trial.
Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sociodemographic factors have been implicated in cardiovascular health with differential morbidity and mortality. It is essential to comprehend how sociodemographic factors contribute to the improvement of Metabolic Syndrome (MetS), the primary cardiovascular diseases indicator. Objective: Determine the role of sociodemographic factors in improving MetS among adults residing in the Slums of Nairobi, Kenya. Methods: Adults with MetS participated in this randomized controlled trial study for a period of 12-months. A random assignment was used to place eligible participants in the intervention or control groups. The intervention group received lifestyle intervention that entails not using tobacco products or alcohol, exercising, and adhering to recommended dietary guidelines, while the control group had standard medical care. Clinical, biochemistry, and lifestyle habits were measured before and a year after the intervention. The association between the sociodemographic factors and the improvement in MetS was examined using a multiple logistic regression model Results: In the intervention group, lack of improvement in metabolic syndrome was significantly higher among aged (≥50 years) respondents [AOR = 9.097; Conclusion: In the current study, the findings show that sociodemographic factors namely: advanced age, unemployment, being Protestants and Catholics as well as higher income were negatively associated with improvement in MetS. The findings indicate that social factors have impact in the management and intervention outcomes of CVDs. Programmers and policy makers should plan interventions for CVD prevention and response with these factors in mind.
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