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Addressing contemporary nutrition problems often requires application of knowledge from multiple disciplines. The scaling up nutrition (SUN) movement harnesses multiple sectors for effective global and in-country planning and implementation. Although the role of knowledge networks (academia and research institutions) is recognised, the how of engaging knowledge networks in the current SUN architecture is only now becoming apparent. For relevant sectors to play their roles effectively, observed capacity gaps, particularly in developing country settings, need to be addressed. The present paper presents the work being undertaken by the Ghana SUN Academic Platform (AP), a local knowledge network, towards strengthening nutrition capacity in Ghana. The AP presently provides technical support, evidence and capacity towards scaling up effective nutrition interventions in Ghana and beyond. The data presented draws heavily on the observations and collective experiences of the authors in practice, complemented by a review of relevant literature. The ultimate goal of the AP is to build capacity of professionals from nutrition and cognate sectors (including planning, agriculture, health, economics, research and academia). This is an essential ingredient for effective and durable SUN efforts. The paper recognises that both disciplinary and interdisciplinary capacity is required for effective SUN efforts in Africa, and offers an approach that utilises cross-sector/inter-professional, peer-learning and experiential learning initiatives.
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http://dx.doi.org/10.1017/S0029665117001124 | DOI Listing |
Health Sci Rep
December 2024
CHINTA Research Bangladesh Dhaka Bangladesh.
Aim: This study aimed to evaluate the food safety knowledge, attitudes, and practices (KAP) of Bangladeshi consumers and investigate their associations with various demographic factors.
Methods: This national cross-sectional study utilized a face-to-face survey using a structured questionnaire to recruit 1400 adult consumers between September 2022 and November 2022. Multiple linear regression analysis was employed to determine the factors associated with the food safety KAP.
eNeurologicalSci
March 2025
Department of Cognitive Neurology, Fleni, Montañeses 2325 (C1428AQK), Buenos Aires, Argentina.
Background: This systematic review analyzes the impact of COVID-19 on dementia patients' functional, cognitive, neuropsychiatric, and health related outcomes. It hypothesizes that dementia patients infected with SARS-CoV-2experience more pronounced deterioration compared to those who are uninfected.
Methods: Research from 01/03/2020 to 07/10/2023 was conducted using Medline, Web of Science, and Embase databases, and adhering to PRISMA guidelines and the PICO framework.
Health Res Policy Syst
December 2024
Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium.
Background: In South Kivu (Eastern Democratic Republic of the Congo [DRC]), health districts (HDs) affected by chronic armed conflicts are devising coping mechanisms to continue offering healthcare services to the population. Nonetheless, this alone does not suffice to make them fully resilient to such conflicts. This study aims to explore the characteristics of these HDs' resilience.
View Article and Find Full Text PDFBMC Public Health
December 2024
Department of Health Statistics, School of Public Health, The Fourth Military Medical University, Xi'an, 710032, China.
Background: Adverse effects during chemotherapy severely impact the daily diet of breast cancer (BC) patients. Engaging in dietary self-management is crucial for healthy lifestyle and recovery. This study aims to create the Dietary Self-management Behavior Questionnaire (DSMBQ) and preliminarily validate its reliability, validity, and discriminative ability for BC patients undergoing chemotherapy.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
December 2024
Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, No. 1416, Chenglonglu Avenue, Chengdu, Sichuan, Jinjiang District, 610066, China.
Background: Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. However, a gap in cohort studies tracking breastfeeding up to six months postpartum may lead caregivers to miss critical intervention opportunities.
Methods: This study conducted a three-wave prospective cohort analysis to examine maternal breastfeeding trajectories within the first six months postpartum and to develop risk prediction models for each period using advanced machine learning algorithms.
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