Publications by authors named "T Niyonsenga"

Introduction: Undernutrition in low- and middle-income countries (LMICs) remains a leading public health challenge. It accounts for one-third of the under-five mortality rate in sub-Saharan Africa (SSA). This study applied the composite index of anthropometric failure (CIAF) to assess the prevalence of various standalone and coexisting forms of undernutrition and identify associated risk factors.

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Background: There are no diagnosis-specific guidelines for moderate-to-vigorous physical activity (MVPA) and sedentary behaviour (SB) for coronary heart disease (CHD). This study aimed to identify thresholds of MVPA and SB associated with cardiovascular events.

Methods: This cohort study included individuals with CHD.

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Article Synopsis
  • The study investigates how physical activity (PA) and sedentary behavior (SB) affect death rates in individuals with coronary heart disease, analyzing over 40,000 participants aged 45 and older.
  • Participants who engaged in any level of PA had a 20-30% lower risk of both cardiac and all-cause death, with significant benefits for those walking or exercising moderately for 150 to 300 minutes a week.
  • Limiting SB to less than 3.4 hours per day greatly reduced mortality risk, especially when combined with at least 150 minutes of PA per week, leading to a 70% lower risk of death.
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Background: As the Sustainable Development Goal 3.2.1 deadline (2030) approaches, rapidly reducing under-5 mortality (U5M) gains more prominence.

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Despite remarkable success in the Millennium Development Goal era, Bangladesh experienced a sluggish reduction in the under-5 mortality rate (U5MR) between 2014 and 2017-18. Our study aimed to explain this stagnancy by examining the variation in the key predictor-specific mortality risks over time, using the Bangladesh Demographic and Health Survey 2011, 2014 and 2017-18 data. We applied multilevel mixed effects logistic regression to examine the extent to which the under-5 mortality (U5M) risks were associated with the key sociodemographic and health service-specific predictors.

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