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Author Correction: Promoting new crop cultivars in low-income countries requires a transdisciplinary approach.
Nat Plants
January 2025
Wageningen University & Research, Development Economics Group, Wageningen, The Netherlands.
Factors influencing minimum acceptable diet (MAD) intake among children aged 6-23 months in remote mid-Himalayan region of Sudurpaschim, Nepal.
BMC Public Health
January 2025
School of Health and Allied Sciences, Pokhara University, Kaski, Nepal.
Background: Minimum acceptable diet (MAD) intake is crucial for optimizing the growth and development of children aged 6 to 23 months. However, little is known about the factors influencing MAD intake among children of Sudurpaschim. This study, therefore, aims to assess the prevalence of minimum acceptable diet intake and associated factors among children aged 6-23 months in Sudurpaschim Province of Nepal.
View Article and Find Full Text PDFThe impacts on population health by China's regional health data centers and the potential mechanism of influence.
Digit Health
January 2025
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Background: China recently established a series of pilot regional health data centers with a mandate to acquire, consolidate, analyze, and translate data into evidence for health policy decision-making. This experiment with "big data" has the potential to influence population health and is the focus of this study.
Methods: This study used national longitudinal survey data from the China Family Panel Studies over the period 2014-2020 to empirically assess the impact of China's establishment of pilot regional health data centers on population health and health inequality.
Latent class analysis of the capacity of countries to manage diabetes and its relationship with diabetes-related deaths and healthcare costs.
BMC Health Serv Res
January 2025
School of Nursing, University of Washington, Seattle, WA, USA.
Background: The prevalence of diabetes is escalating globally, underscoring the need for comprehensive evidence to inform health systems in effectively addressing this epidemic. The purpose of this study was to examine the patterns of countries' capacity to manage diabetes using latent class analysis (LCA) and to determine whether the patterns are associated with diabetes-related deaths and healthcare costs.
Methods: Eight indicators of country-level capacity were drawn from the World Health Organization Global Health Observatory dataset: the widespread availability of hemoglobin A1C (HbA1c) testing, existence of diabetes registry, national diabetes management guidelines, national strategy for diabetes care, blood glucose testing, diabetic retinopathy screening, sulfonylureas, and metformin in the public health sector.
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