Publications by authors named "N B Kandala"

Article Synopsis
  • - Maternal nutritional status, particularly body mass index (BMI) and anaemia, has a significant impact on child undernutrition in West Africa, where issues like stunting, wasting, and underweight are prevalent among under-five children.
  • - The study analyzed data from 13 West African countries (2010-2019) using Poisson regression and structural equation modeling, revealing that low birth weight (LBW) mediates the relationship between maternal undernutrition and various forms of child undernutrition.
  • - The findings indicate that addressing maternal undernutrition and reducing LBW rates are crucial for improving child health outcomes, and it is recommended that policymakers incorporate strategies targeting these issues.
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Background: Gabon still bears significant malaria burden despite numerous efforts. To reduce this burden, policy-makers need strategies to design effective interventions. Besides, malaria distribution is well known to be related to the meteorological conditions.

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This study aimed to determine which sociodemographic and lifestyle factors may act as predictors of multimorbidity (defined as diabetes + hypertension) amongst men aged 15-54 within urban and rural areas of India. Data from the latest 2019-2021 India NFHS-5 survey were utilized. Presumed cases of multimorbidity were defined as men who had DM + HTN.

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Background: As a global public health problem, anemia affects more than 400 million women of reproductive age worldwide, mostly in Africa and India. In the DRC, the prevalence of anemia has decreased slightly from 52.9% in 2007, to 46.

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Background: Malnutrition in hospitalized patients is becoming a priority during the patient care process due to its implications for worsening health outcomes. It can be the result of numerous social factors beyond clinical ones. This study aimed to evaluate the link between these various risk factors considered social determinants of health, food security levels, and malnutrition and to identify potential predictors.

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