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Sick of debt: How over-indebtedness is hampering health in rural Cambodia.
Soc Sci Med
January 2025
Department of Geography, King's College London, Bush House, North East Wing, 40 Aldwych, London, WC2B 4BG, UK. Electronic address:
This paper evidences how many rural poor Cambodians are sick of debt. Based on original, mixed-method data (2020-2022), exploring credit provisioning in this context, the aim of this paper is to illuminate some of the conditions leading to rural Cambodians taking on debt to bolster their health, and the effects this is having on borrowers' physical, psychological, emotional and social health. Specifically, we show how the health of our participants is constrained by a range of major illnesses that many suffer from and their poor food conditions, both exacerbated by the effects of climate change.
View Article and Find Full Text PDFFast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations.
PLoS One
January 2025
DIADE, IRD, Cirad, University of Montpellier, Montpellier, France.
Motivation: Genotyping of bi-parental populations can be performed with low-coverage next-generation sequencing (LC-NGS). This allows the creation of highly saturated genetic maps at reasonable cost, precisely localized recombination breakpoints (i.e.
View Article and Find Full Text PDFPrediction of dry matter intake in growing Black Bengal goats using artificial neural networks.
Trop Anim Health Prod
January 2025
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243 122, India.
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to wastage of feed and an increase in the cost of production. This investigation aimed to predict DMI in Black Bengal goats by using body weight (BW), body condition score (BCS), average daily gain (ADG), and metabolic body weight (MBW) by applying an artificial neural network (ANN) model.
View Article and Find Full Text PDFLikes, Shares, and Symptoms: The Hidden Toll of Early Adolescents' Social Media Use on Well-Being.
Int J Environ Res Public Health
January 2025
Research Centre for Education and the Labour Market (ROA), School of Business and Economics, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
Social media use has rapidly increased over the past decade, especially among young people. To obtain more insight into the potential negative associations with problematic social media use in Dutch early adolescents, we assessed its relation to self-reported well-being. We conducted a cross-sectional study with 585 students in their final year of primary school (11-12 years old) who completed a questionnaire during school hours.
View Article and Find Full Text PDFTimely access to specialist outpatient care: can applying systems thinking unblock our waiting lists?
BMC Health Serv Res
January 2025
Centre for the Business and Economics of Health (CBEH), The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia.
Background: The purpose of this qualitative study was to focus on review and repeat review outpatients and the structural role they play in exacerbating waitlists for Specialist Outpatient (SOP) services in Queensland. Waitlists, which record the number of patients waiting for an initial consultation (new appointment), are an indicator of a health system under strain. Waiting too long to access SOP can have a detrimental effect on people's health outcomes.
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