Publications by authors named "Melikhaya Soboyisi"

Introduction: Programme Science (PS) and community-led monitoring (CLM) intersect in unexpected and promising ways. This commentary examines a CLM initiative in Malawi and South Africa to highlight the crucial role of CLM in bolstering the PS framework. By leveraging data sources often overlooked by conventional research and evaluation approaches, CLM emerges as a pivotal element in enhancing programme effectiveness.

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Community-led monitoring (CLM) is an emerging approach that empowers local communities to actively participate in data collection and decision-making processes within the health system. The research aimed to explore stakeholder perceptions of CLM data and establish a CLM Data Value Chain, covering data collection and its impact. Qualitative data were collected from stakeholders engaged in health programs in South Africa.

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Background: We first explored the associations between physical behaviors and total and regional adiposity. Second, we examined how reallocating time in different physical behaviors was associated with total body fat mass in men and women from a low-income South African setting.

Methods: This cross-sectional study included a sample of 692 participants (384 men and 308 women) aged 41-72 years.

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Introduction: To examine the associations between physical behaviors and type 2 diabetes mellitus (T2DM) risk markers in middle-aged South African men and women.

Research Design And Methods: This cross-sectional study included middle-aged men (n=403; age: median (IQR), 53.0 (47.

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The study evaluated the association between nutrient patterns with body fat and regional adiposity in middle-aged black South African (SA) men and women and determined if this differed by sex. Body fat and regional adiposity (dual-energy x-ray absorptiometry), and dietary intake (7-day quantified food frequency questionnaire) were measured in black SA men ( = 414) and women ( = 346). Using principal component analysis, nutrient patterns were computed from 25 nutrients in the combined sample.

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